id	sid	tid	token	lemma	pos
easat-11010	1	1	edelweiss	edelweiss	PROPN
easat-11010	1	2	applied	apply	VERB
easat-11010	1	3	science	science	NOUN
easat-11010	1	4	and	and	CCONJ
easat-11010	1	5	technology	technology	NOUN
easat-11010	1	6	issn	issn	PROPN
easat-11010	1	7	:	:	PUNCT
easat-11010	1	8	2576	2576	NUM
easat-11010	1	9	-	-	SYM
easat-11010	1	10	8484	8484	NUM
easat-11010	1	11	vol	vol	NOUN
easat-11010	1	12	.	.	PROPN
easat-11010	2	1	9	9	NUM
easat-11010	2	2	,	,	PUNCT
easat-11010	2	3	no	no	INTJ
easat-11010	2	4	.	.	NOUN
easat-11010	2	5	11	11	NUM
easat-11010	2	6	,	,	PUNCT
easat-11010	2	7	839	839	NUM
easat-11010	2	8	-	-	SYM
easat-11010	2	9	852	852	NUM
easat-11010	2	10	2025	2025	NUM
easat-11010	2	11	publisher	publisher	NOUN
easat-11010	2	12	:	:	PUNCT
easat-11010	2	13	learning	learn	VERB
easat-11010	2	14	gate	gate	NOUN
easat-11010	2	15	doi	doi	PROPN
easat-11010	2	16	:	:	PUNCT
easat-11010	2	17	10.55214/2576	10.55214/2576	NUM
easat-11010	2	18	-	-	SYM
easat-11010	2	19	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	2	20	©	©	ADP
easat-11010	2	21	2025	2025	NUM
easat-11010	2	22	by	by	ADP
easat-11010	2	23	the	the	DET
easat-11010	2	24	authors	author	NOUN
easat-11010	2	25	;	;	PUNCT
easat-11010	2	26	licensee	licensee	PROPN
easat-11010	2	27	learning	learning	NOUN
easat-11010	2	28	gate	gate	NOUN
easat-11010	3	1	©	©	PROPN
easat-11010	3	2	2025	2025	NUM
easat-11010	3	3	by	by	ADP
easat-11010	3	4	the	the	DET
easat-11010	3	5	authors	author	NOUN
easat-11010	3	6	;	;	PUNCT
easat-11010	3	7	licensee	licensee	PROPN
easat-11010	3	8	learning	learning	NOUN
easat-11010	3	9	gate	gate	NOUN
easat-11010	3	10	history	history	NOUN
easat-11010	3	11	:	:	PUNCT
easat-11010	3	12	received	receive	VERB
easat-11010	3	13	:	:	PUNCT
easat-11010	3	14	4	4	NUM
easat-11010	3	15	september	september	PROPN
easat-11010	3	16	2025	2025	NUM
easat-11010	3	17	;	;	PUNCT
easat-11010	3	18	revised	revise	VERB
easat-11010	3	19	:	:	PUNCT
easat-11010	3	20	14	14	NUM
easat-11010	3	21	october	october	NOUN
easat-11010	3	22	2025	2025	NUM
easat-11010	3	23	;	;	PUNCT
easat-11010	3	24	accepted	accept	VERB
easat-11010	3	25	:	:	PUNCT
easat-11010	3	26	17	17	NUM
easat-11010	3	27	october	october	NOUN
easat-11010	3	28	2025	2025	NUM
easat-11010	3	29	;	;	PUNCT
easat-11010	3	30	published	publish	VERB
easat-11010	3	31	:	:	PUNCT
easat-11010	3	32	13	13	NUM
easat-11010	3	33	november	november	NOUN
easat-11010	3	34	2025	2025	NUM
easat-11010	3	35	*	*	PUNCT
easat-11010	3	36	correspondence	correspondence	NOUN
easat-11010	3	37	:	:	PUNCT
easat-11010	4	1	rebazy34@gmail.com	rebazy34@gmail.com	X
easat-11010	4	2	bayesian	bayesian	NOUN
easat-11010	4	3	hybrid	hybrid	NOUN
easat-11010	4	4	kalman	kalman	NOUN
easat-11010	4	5	filter	filter	PROPN
easat-11010	4	6	auto	auto	NOUN
easat-11010	4	7	-	-	PUNCT
easat-11010	4	8	regressive	regressive	ADJ
easat-11010	4	9	for	for	ADP
easat-11010	4	10	smarter	smart	ADJ
easat-11010	4	11	electricity	electricity	NOUN
easat-11010	4	12	load	load	NOUN
easat-11010	4	13	forecasting	forecast	VERB
easat-11010	4	14	rebaz	rebaz	PROPN
easat-11010	4	15	othman	othman	PROPN
easat-11010	4	16	yahya1	yahya1	PROPN
easat-11010	4	17	*	*	PROPN
easat-11010	4	18	,	,	PUNCT
easat-11010	4	19	kurdistan	kurdistan	PROPN
easat-11010	4	20	ibrahim	ibrahim	PROPN
easat-11010	4	21	mawlood2	mawlood2	PROPN
easat-11010	5	1	1,2department	1,2department	NUM
easat-11010	5	2	of	of	ADP
easat-11010	5	3	statistics	statistic	NOUN
easat-11010	5	4	,	,	PUNCT
easat-11010	5	5	college	college	NOUN
easat-11010	5	6	of	of	ADP
easat-11010	5	7	administration	administration	NOUN
easat-11010	5	8	and	and	CCONJ
easat-11010	5	9	economics	economic	NOUN
easat-11010	5	10	,	,	PUNCT
easat-11010	5	11	salahaddin	salahaddin	VERB
easat-11010	5	12	university	university	NOUN
easat-11010	5	13	-	-	PUNCT
easat-11010	5	14	erbil	erbil	PROPN
easat-11010	5	15	,	,	PUNCT
easat-11010	5	16	kurdistan	kurdistan	PROPN
easat-11010	5	17	region	region	NOUN
easat-11010	5	18	,	,	PUNCT
easat-11010	5	19	iraq	iraq	PROPN
easat-11010	5	20	;	;	PUNCT
easat-11010	5	21	rebazy34@gmail.com	rebazy34@gmail.com	X
easat-11010	5	22	(	(	PUNCT
easat-11010	5	23	b.o.y	b.o.y	PROPN
easat-11010	5	24	.	.	PUNCT
easat-11010	5	25	)	)	PUNCT
easat-11010	5	26	.	.	PUNCT
easat-11010	6	1	abstract	abstract	ADJ
easat-11010	6	2	:	:	PUNCT
easat-11010	6	3	energy	energy	NOUN
easat-11010	6	4	management	management	NOUN
easat-11010	6	5	efficiency	efficiency	NOUN
easat-11010	6	6	requires	require	VERB
easat-11010	6	7	highly	highly	ADV
easat-11010	6	8	accurate	accurate	ADJ
easat-11010	6	9	electricity	electricity	NOUN
easat-11010	6	10	load	load	NOUN
easat-11010	6	11	forecasting	forecasting	NOUN
easat-11010	6	12	,	,	PUNCT
easat-11010	6	13	especially	especially	ADV
easat-11010	6	14	in	in	ADP
easat-11010	6	15	dynamic	dynamic	ADJ
easat-11010	6	16	and	and	CCONJ
easat-11010	6	17	complex	complex	ADJ
easat-11010	6	18	environments	environment	NOUN
easat-11010	6	19	.	.	PUNCT
easat-11010	7	1	this	this	DET
easat-11010	7	2	study	study	NOUN
easat-11010	7	3	presents	present	VERB
easat-11010	7	4	the	the	DET
easat-11010	7	5	bayesian	bayesian	NOUN
easat-11010	7	6	hybrid	hybrid	NOUN
easat-11010	7	7	kalman	kalman	NOUN
easat-11010	7	8	filter	filter	NOUN
easat-11010	7	9	autoregressive	autoregressive	ADJ
easat-11010	7	10	(	(	PUNCT
easat-11010	7	11	bar	bar	NOUN
easat-11010	7	12	-	-	PUNCT
easat-11010	7	13	kf	kf	NOUN
easat-11010	7	14	)	)	PUNCT
easat-11010	7	15	model	model	NOUN
easat-11010	7	16	as	as	ADP
easat-11010	7	17	an	an	DET
easat-11010	7	18	advanced	advanced	ADJ
easat-11010	7	19	technique	technique	NOUN
easat-11010	7	20	for	for	ADP
easat-11010	7	21	improving	improve	VERB
easat-11010	7	22	load	load	NOUN
easat-11010	7	23	forecasting	forecasting	NOUN
easat-11010	7	24	accuracy	accuracy	NOUN
easat-11010	7	25	.	.	PUNCT
easat-11010	8	1	this	this	DET
easat-11010	8	2	hybrid	hybrid	ADJ
easat-11010	8	3	framework	framework	NOUN
easat-11010	8	4	addresses	address	VERB
easat-11010	8	5	the	the	DET
easat-11010	8	6	fundamental	fundamental	ADJ
easat-11010	8	7	limitations	limitation	NOUN
easat-11010	8	8	of	of	ADP
easat-11010	8	9	the	the	DET
easat-11010	8	10	autoregressive	autoregressive	ADJ
easat-11010	8	11	model	model	NOUN
easat-11010	8	12	and	and	CCONJ
easat-11010	8	13	the	the	DET
easat-11010	8	14	kalman	kalman	PROPN
easat-11010	8	15	filter	filter	NOUN
easat-11010	8	16	model	model	NOUN
easat-11010	8	17	in	in	ADP
easat-11010	8	18	previous	previous	ADJ
easat-11010	8	19	works	work	NOUN
easat-11010	8	20	by	by	ADP
easat-11010	8	21	better	well	ADV
easat-11010	8	22	handling	handle	VERB
easat-11010	8	23	non	non	ADJ
easat-11010	8	24	-	-	ADJ
easat-11010	8	25	stationarity	stationarity	NOUN
easat-11010	8	26	and	and	CCONJ
easat-11010	8	27	model	model	NOUN
easat-11010	8	28	uncertainty	uncertainty	NOUN
easat-11010	8	29	through	through	ADP
easat-11010	8	30	markov	markov	NOUN
easat-11010	8	31	chain	chain	NOUN
easat-11010	8	32	monte	monte	PROPN
easat-11010	8	33	carlo	carlo	PROPN
easat-11010	8	34	(	(	PUNCT
easat-11010	8	35	mcmc	mcmc	PROPN
easat-11010	8	36	)	)	PUNCT
easat-11010	8	37	methods	method	NOUN
easat-11010	8	38	in	in	ADP
easat-11010	8	39	estimating	estimate	VERB
easat-11010	8	40	the	the	DET
easat-11010	8	41	posterior	posterior	NOUN
easat-11010	8	42	of	of	ADP
easat-11010	8	43	ar	ar	NOUN
easat-11010	8	44	parameters	parameter	NOUN
easat-11010	8	45	,	,	PUNCT
easat-11010	8	46	which	which	PRON
easat-11010	8	47	are	be	AUX
easat-11010	8	48	subsequently	subsequently	ADV
easat-11010	8	49	integrated	integrate	VERB
easat-11010	8	50	into	into	ADP
easat-11010	8	51	the	the	DET
easat-11010	8	52	kalman	kalman	NOUN
easat-11010	8	53	filter	filter	NOUN
easat-11010	8	54	framework	framework	NOUN
easat-11010	8	55	.	.	PUNCT
easat-11010	9	1	the	the	DET
easat-11010	9	2	analysis	analysis	NOUN
easat-11010	9	3	of	of	ADP
easat-11010	9	4	hourly	hourly	ADJ
easat-11010	9	5	electricity	electricity	NOUN
easat-11010	9	6	consumption	consumption	NOUN
easat-11010	9	7	data	datum	NOUN
easat-11010	9	8	demonstrates	demonstrate	VERB
easat-11010	9	9	the	the	DET
easat-11010	9	10	model	model	NOUN
easat-11010	9	11	's	's	PART
easat-11010	9	12	ability	ability	NOUN
easat-11010	9	13	to	to	PART
easat-11010	9	14	capture	capture	VERB
easat-11010	9	15	temporal	temporal	ADJ
easat-11010	9	16	dependencies	dependency	NOUN
easat-11010	9	17	and	and	CCONJ
easat-11010	9	18	provide	provide	VERB
easat-11010	9	19	probabilistic	probabilistic	ADJ
easat-11010	9	20	forecasts	forecast	NOUN
easat-11010	9	21	that	that	PRON
easat-11010	9	22	offer	offer	VERB
easat-11010	9	23	a	a	DET
easat-11010	9	24	better	well	ADJ
easat-11010	9	25	understanding	understanding	NOUN
easat-11010	9	26	of	of	ADP
easat-11010	9	27	possible	possible	ADJ
easat-11010	9	28	load	load	NOUN
easat-11010	9	29	ranges	range	NOUN
easat-11010	9	30	.	.	PUNCT
easat-11010	10	1	the	the	DET
easat-11010	10	2	results	result	NOUN
easat-11010	10	3	offer	offer	VERB
easat-11010	10	4	valuable	valuable	ADJ
easat-11010	10	5	insights	insight	NOUN
easat-11010	10	6	into	into	ADP
easat-11010	10	7	the	the	DET
easat-11010	10	8	dynamics	dynamic	NOUN
easat-11010	10	9	of	of	ADP
easat-11010	10	10	electricity	electricity	NOUN
easat-11010	10	11	consumption	consumption	NOUN
easat-11010	10	12	,	,	PUNCT
easat-11010	10	13	aiding	aid	VERB
easat-11010	10	14	policymakers	policymaker	NOUN
easat-11010	10	15	and	and	CCONJ
easat-11010	10	16	grid	grid	NOUN
easat-11010	10	17	experts	expert	NOUN
easat-11010	10	18	in	in	ADP
easat-11010	10	19	building	build	VERB
easat-11010	10	20	greater	great	ADJ
easat-11010	10	21	operational	operational	ADJ
easat-11010	10	22	resilience	resilience	NOUN
easat-11010	10	23	,	,	PUNCT
easat-11010	10	24	distributing	distribute	VERB
easat-11010	10	25	load	load	NOUN
easat-11010	10	26	more	more	ADV
easat-11010	10	27	effectively	effectively	ADV
easat-11010	10	28	,	,	PUNCT
easat-11010	10	29	and	and	CCONJ
easat-11010	10	30	consequently	consequently	ADV
easat-11010	10	31	improving	improve	VERB
easat-11010	10	32	forecast	forecast	NOUN
easat-11010	10	33	accuracy	accuracy	NOUN
easat-11010	10	34	.	.	PUNCT
easat-11010	11	1	the	the	DET
easat-11010	11	2	interaction	interaction	NOUN
easat-11010	11	3	between	between	ADP
easat-11010	11	4	the	the	DET
easat-11010	11	5	mcmc	mcmc	PROPN
easat-11010	11	6	-	-	PUNCT
easat-11010	11	7	derived	derive	VERB
easat-11010	11	8	model	model	NOUN
easat-11010	11	9	parameters	parameter	NOUN
easat-11010	11	10	and	and	CCONJ
easat-11010	11	11	their	their	PRON
easat-11010	11	12	adaptive	adaptive	ADJ
easat-11010	11	13	mechanisms	mechanism	NOUN
easat-11010	11	14	enhances	enhance	VERB
easat-11010	11	15	the	the	DET
easat-11010	11	16	robustness	robustness	NOUN
easat-11010	11	17	of	of	ADP
easat-11010	11	18	the	the	DET
easat-11010	11	19	kalman	kalman	PROPN
easat-11010	11	20	filter	filter	PROPN
easat-11010	11	21	,	,	PUNCT
easat-11010	11	22	making	make	VERB
easat-11010	11	23	the	the	DET
easat-11010	11	24	forecast	forecast	NOUN
easat-11010	11	25	model	model	NOUN
easat-11010	11	26	more	more	ADV
easat-11010	11	27	responsive	responsive	ADJ
easat-11010	11	28	to	to	ADP
easat-11010	11	29	innovative	innovative	ADJ
easat-11010	11	30	approaches	approach	NOUN
easat-11010	11	31	for	for	ADP
easat-11010	11	32	electricity	electricity	NOUN
easat-11010	11	33	demand	demand	NOUN
easat-11010	11	34	.	.	PUNCT
easat-11010	12	1	keywords	keyword	NOUN
easat-11010	12	2	:	:	PUNCT
easat-11010	12	3	autoregressive	autoregressive	ADJ
easat-11010	12	4	modelling	modelling	NOUN
easat-11010	12	5	,	,	PUNCT
easat-11010	12	6	electricity	electricity	NOUN
easat-11010	12	7	load	load	NOUN
easat-11010	12	8	forecasting	forecasting	NOUN
easat-11010	12	9	;	;	PUNCT
easat-11010	12	10	kalman	kalman	PROPN
easat-11010	12	11	filter	filter	PROPN
easat-11010	12	12	,	,	PUNCT
easat-11010	12	13	markov	markov	NOUN
easat-11010	12	14	chain	chain	NOUN
easat-11010	12	15	monte	monte	PROPN
easat-11010	12	16	carlo	carlo	PROPN
easat-11010	12	17	,	,	PUNCT
easat-11010	12	18	probabilistic	probabilistic	ADJ
easat-11010	12	19	forecasting	forecasting	NOUN
easat-11010	12	20	.	.	PUNCT
easat-11010	13	1	1	1	X
easat-11010	13	2	.	.	X
easat-11010	13	3	introduction	introduction	NOUN
easat-11010	13	4	electricity	electricity	NOUN
easat-11010	13	5	load	load	NOUN
easat-11010	13	6	forecasting	forecasting	NOUN
easat-11010	13	7	plays	play	VERB
easat-11010	13	8	an	an	DET
easat-11010	13	9	important	important	ADJ
easat-11010	13	10	role	role	NOUN
easat-11010	13	11	in	in	ADP
easat-11010	13	12	energy	energy	NOUN
easat-11010	13	13	management	management	NOUN
easat-11010	13	14	systems	system	NOUN
easat-11010	13	15	for	for	ADP
easat-11010	13	16	reliable	reliable	ADJ
easat-11010	13	17	power	power	NOUN
easat-11010	13	18	supply	supply	NOUN
easat-11010	13	19	,	,	PUNCT
easat-11010	13	20	optimization	optimization	NOUN
easat-11010	13	21	of	of	ADP
easat-11010	13	22	energy	energy	NOUN
easat-11010	13	23	resources	resource	NOUN
easat-11010	13	24	,	,	PUNCT
easat-11010	13	25	and	and	CCONJ
easat-11010	13	26	reduction	reduction	NOUN
easat-11010	13	27	in	in	ADP
easat-11010	13	28	operational	operational	ADJ
easat-11010	13	29	costs	cost	NOUN
easat-11010	13	30	.	.	PUNCT
easat-11010	14	1	in	in	ADP
easat-11010	14	2	these	these	DET
easat-11010	14	3	dynamic	dynamic	ADJ
easat-11010	14	4	and	and	CCONJ
easat-11010	14	5	complex	complex	ADJ
easat-11010	14	6	environments	environment	NOUN
easat-11010	14	7	,	,	PUNCT
easat-11010	14	8	the	the	DET
easat-11010	14	9	relevance	relevance	NOUN
easat-11010	14	10	of	of	ADP
easat-11010	14	11	appropriate	appropriate	ADJ
easat-11010	14	12	forecasting	forecasting	NOUN
easat-11010	14	13	models	model	NOUN
easat-11010	14	14	,	,	PUNCT
easat-11010	14	15	which	which	PRON
easat-11010	14	16	can	can	AUX
easat-11010	14	17	predict	predict	VERB
easat-11010	14	18	the	the	DET
easat-11010	14	19	future	future	ADJ
easat-11010	14	20	demand	demand	NOUN
easat-11010	14	21	for	for	ADP
easat-11010	14	22	electricity	electricity	NOUN
easat-11010	14	23	,	,	PUNCT
easat-11010	14	24	becomes	become	VERB
easat-11010	14	25	highly	highly	ADV
easat-11010	14	26	significant	significant	ADJ
easat-11010	14	27	.	.	PUNCT
easat-11010	15	1	so	so	ADV
easat-11010	15	2	far	far	ADV
easat-11010	15	3	,	,	PUNCT
easat-11010	15	4	the	the	DET
easat-11010	15	5	bayesian	bayesian	NOUN
easat-11010	15	6	auto	auto	NOUN
easat-11010	15	7	-	-	PUNCT
easat-11010	15	8	regressive	regressive	ADJ
easat-11010	15	9	kalman	kalman	NOUN
easat-11010	15	10	filter	filter	NOUN
easat-11010	15	11	bar	bar	PROPN
easat-11010	15	12	-	-	PUNCT
easat-11010	15	13	kf	kf	PROPN
easat-11010	15	14	has	have	AUX
easat-11010	15	15	emerged	emerge	VERB
easat-11010	15	16	as	as	ADP
easat-11010	15	17	an	an	DET
easat-11010	15	18	advanced	advanced	ADJ
easat-11010	15	19	technique	technique	NOUN
easat-11010	15	20	in	in	ADP
easat-11010	15	21	which	which	PRON
easat-11010	15	22	bayesian	bayesian	NOUN
easat-11010	15	23	estimation	estimation	NOUN
easat-11010	15	24	is	be	AUX
easat-11010	15	25	integrated	integrate	VERB
easat-11010	15	26	with	with	ADP
easat-11010	15	27	auto	auto	NOUN
easat-11010	15	28	-	-	PUNCT
easat-11010	15	29	regressive	regressive	ADJ
easat-11010	15	30	modeling	modeling	NOUN
easat-11010	15	31	and	and	CCONJ
easat-11010	15	32	kalman	kalman	NOUN
easat-11010	15	33	filtering	filter	VERB
easat-11010	15	34	to	to	PART
easat-11010	15	35	improve	improve	VERB
easat-11010	15	36	the	the	DET
easat-11010	15	37	accuracy	accuracy	NOUN
easat-11010	15	38	of	of	ADP
easat-11010	15	39	load	load	NOUN
easat-11010	15	40	forecasting	forecasting	NOUN
easat-11010	15	41	.	.	PUNCT
easat-11010	16	1	this	this	DET
easat-11010	16	2	introduction	introduction	NOUN
easat-11010	16	3	covers	cover	VERB
easat-11010	16	4	the	the	DET
easat-11010	16	5	theoretical	theoretical	ADJ
easat-11010	16	6	basics	basic	NOUN
easat-11010	16	7	,	,	PUNCT
easat-11010	16	8	advantages	advantage	NOUN
easat-11010	16	9	,	,	PUNCT
easat-11010	16	10	and	and	CCONJ
easat-11010	16	11	applications	application	NOUN
easat-11010	16	12	of	of	ADP
easat-11010	16	13	bar	bar	NOUN
easat-11010	16	14	-	-	PUNCT
easat-11010	16	15	kf	kf	NOUN
easat-11010	16	16	in	in	ADP
easat-11010	16	17	the	the	DET
easat-11010	16	18	context	context	NOUN
easat-11010	16	19	of	of	ADP
easat-11010	16	20	load	load	NOUN
easat-11010	16	21	electricity	electricity	NOUN
easat-11010	16	22	forecasting	forecasting	NOUN
easat-11010	16	23	,	,	PUNCT
easat-11010	16	24	referencing	reference	VERB
easat-11010	16	25	relevant	relevant	ADJ
easat-11010	16	26	works	work	NOUN
easat-11010	16	27	.	.	PUNCT
easat-11010	17	1	electricity	electricity	NOUN
easat-11010	17	2	load	load	NOUN
easat-11010	17	3	forecasting	forecasting	NOUN
easat-11010	17	4	involves	involve	VERB
easat-11010	17	5	the	the	DET
easat-11010	17	6	prediction	prediction	NOUN
easat-11010	17	7	of	of	ADP
easat-11010	17	8	future	future	ADJ
easat-11010	17	9	electrical	electrical	ADJ
easat-11010	17	10	demand	demand	NOUN
easat-11010	17	11	from	from	ADP
easat-11010	17	12	historical	historical	ADJ
easat-11010	17	13	data	datum	NOUN
easat-11010	17	14	and	and	CCONJ
easat-11010	17	15	a	a	DET
easat-11010	17	16	variety	variety	NOUN
easat-11010	17	17	of	of	ADP
easat-11010	17	18	factors	factor	NOUN
easat-11010	17	19	that	that	PRON
easat-11010	17	20	determine	determine	VERB
easat-11010	17	21	it	it	PRON
easat-11010	17	22	[	[	X
easat-11010	17	23	1	1	NUM
easat-11010	17	24	,	,	PUNCT
easat-11010	17	25	2	2	NUM
easat-11010	17	26	]	]	PUNCT
easat-11010	17	27	.	.	PUNCT
easat-11010	18	1	the	the	DET
easat-11010	18	2	kalman	kalman	PROPN
easat-11010	18	3	filter	filter	NOUN
easat-11010	18	4	was	be	AUX
easat-11010	18	5	originally	originally	ADV
easat-11010	18	6	developed	develop	VERB
easat-11010	18	7	by	by	ADP
easat-11010	18	8	kalman	kalman	NOUN
easat-11010	19	1	[	[	X
easat-11010	19	2	3	3	X
easat-11010	19	3	]	]	PUNCT
easat-11010	19	4	to	to	PART
easat-11010	19	5	give	give	VERB
easat-11010	19	6	an	an	DET
easat-11010	19	7	optimum	optimum	ADJ
easat-11010	19	8	estimate	estimate	NOUN
easat-11010	19	9	of	of	ADP
easat-11010	19	10	the	the	DET
easat-11010	19	11	state	state	NOUN
easat-11010	19	12	of	of	ADP
easat-11010	19	13	a	a	DET
easat-11010	19	14	linear	linear	ADJ
easat-11010	19	15	dynamic	dynamic	ADJ
easat-11010	19	16	system	system	NOUN
easat-11010	19	17	from	from	ADP
easat-11010	19	18	noisy	noisy	ADJ
easat-11010	19	19	observations	observation	NOUN
easat-11010	19	20	[	[	X
easat-11010	19	21	4	4	NUM
easat-11010	19	22	,	,	PUNCT
easat-11010	19	23	5	5	NUM
easat-11010	19	24	]	]	PUNCT
easat-11010	19	25	.	.	PUNCT
easat-11010	20	1	it	it	PRON
easat-11010	20	2	predictively	predictively	ADV
easat-11010	20	3	updates	update	VERB
easat-11010	20	4	the	the	DET
easat-11010	20	5	state	state	NOUN
easat-11010	20	6	estimates	estimate	VERB
easat-11010	20	7	recursively	recursively	ADV
easat-11010	20	8	with	with	ADP
easat-11010	20	9	minimum	minimum	NOUN
easat-11010	20	10	error	error	NOUN
easat-11010	20	11	covariance	covariance	NOUN
easat-11010	20	12	.	.	PUNCT
easat-11010	21	1	the	the	DET
easat-11010	21	2	traditional	traditional	ADJ
easat-11010	21	3	kalman	kalman	NOUN
easat-11010	21	4	filter	filter	NOUN
easat-11010	21	5	is	be	AUX
easat-11010	21	6	reasonably	reasonably	ADV
easat-11010	21	7	effective	effective	ADJ
easat-11010	21	8	when	when	SCONJ
easat-11010	21	9	working	work	VERB
easat-11010	21	10	with	with	ADP
easat-11010	21	11	linear	linear	PROPN
easat-11010	21	12	systems	system	NOUN
easat-11010	21	13	that	that	PRON
easat-11010	21	14	assume	assume	VERB
easat-11010	21	15	gaussian	gaussian	ADJ
easat-11010	21	16	noise	noise	NOUN
easat-11010	21	17	;	;	PUNCT
easat-11010	21	18	however	however	ADV
easat-11010	21	19	,	,	PUNCT
easat-11010	21	20	it	it	PRON
easat-11010	21	21	may	may	AUX
easat-11010	21	22	fall	fall	VERB
easat-11010	21	23	short	short	ADV
easat-11010	21	24	in	in	ADP
easat-11010	21	25	performance	performance	NOUN
easat-11010	21	26	related	relate	VERB
easat-11010	21	27	to	to	ADP
easat-11010	21	28	non	non	ADJ
easat-11010	21	29	-	-	ADJ
easat-11010	21	30	stationary	stationary	ADJ
easat-11010	21	31	data	datum	NOUN
easat-11010	21	32	or	or	CCONJ
easat-11010	21	33	when	when	SCONJ
easat-11010	21	34	model	model	NOUN
easat-11010	21	35	parameters	parameter	NOUN
easat-11010	21	36	are	be	AUX
easat-11010	21	37	not	not	PART
easat-11010	21	38	well	well	ADV
easat-11010	21	39	known	known	ADJ
easat-11010	21	40	[	[	X
easat-11010	21	41	6	6	NUM
easat-11010	21	42	,	,	PUNCT
easat-11010	21	43	7	7	NUM
easat-11010	21	44	]	]	PUNCT
easat-11010	21	45	.	.	PUNCT
easat-11010	22	1	bayesian	bayesian	NOUN
easat-11010	22	2	methods	method	NOUN
easat-11010	22	3	update	update	VERB
easat-11010	22	4	the	the	DET
easat-11010	22	5	incrementing	incremente	VERB
easat-11010	22	6	probabilities	probability	NOUN
easat-11010	22	7	of	of	ADP
easat-11010	22	8	a	a	DET
easat-11010	22	9	hypothesis	hypothesis	NOUN
easat-11010	22	10	when	when	SCONJ
easat-11010	22	11	evidence	evidence	NOUN
easat-11010	22	12	is	be	AUX
easat-11010	22	13	acquired	acquire	VERB
easat-11010	22	14	and	and	CCONJ
easat-11010	22	15	have	have	AUX
easat-11010	22	16	provided	provide	VERB
easat-11010	22	17	a	a	DET
easat-11010	22	18	robust	robust	ADJ
easat-11010	22	19	framework	framework	NOUN
easat-11010	22	20	for	for	ADP
easat-11010	22	21	incorporating	incorporate	VERB
easat-11010	22	22	uncertainty	uncertainty	NOUN
easat-11010	22	23	and	and	CCONJ
easat-11010	22	24	prior	prior	ADJ
easat-11010	22	25	knowledge	knowledge	NOUN
easat-11010	22	26	into	into	ADP
easat-11010	22	27	https://orcid.org/0000-0001-8954-9275	https://orcid.org/0000-0001-8954-9275	PROPN
easat-11010	22	28	https://orcid.org/0000-0002-1612-1996	https://orcid.org/0000-0002-1612-1996	PROPN
easat-11010	22	29	840	840	NUM
easat-11010	22	30	edelweiss	edelweiss	PROPN
easat-11010	22	31	applied	apply	VERB
easat-11010	22	32	science	science	NOUN
easat-11010	22	33	and	and	CCONJ
easat-11010	22	34	technology	technology	NOUN
easat-11010	22	35	issn	issn	PROPN
easat-11010	22	36	:	:	PUNCT
easat-11010	22	37	2576	2576	NUM
easat-11010	22	38	-	-	SYM
easat-11010	22	39	8484	8484	NUM
easat-11010	22	40	vol	vol	NOUN
easat-11010	22	41	.	.	PROPN
easat-11010	23	1	9	9	NUM
easat-11010	23	2	,	,	PUNCT
easat-11010	23	3	no	no	INTJ
easat-11010	23	4	.	.	NOUN
easat-11010	23	5	11	11	NUM
easat-11010	23	6	:	:	PUNCT
easat-11010	23	7	839	839	NUM
easat-11010	23	8	-	-	NUM
easat-11010	23	9	852	852	NUM
easat-11010	23	10	,	,	PUNCT
easat-11010	23	11	2025	2025	NUM
easat-11010	23	12	doi	doi	NOUN
easat-11010	23	13	:	:	PUNCT
easat-11010	23	14	10.55214/2576	10.55214/2576	NUM
easat-11010	23	15	-	-	SYM
easat-11010	23	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	23	17	©	©	ADP
easat-11010	23	18	2025	2025	NUM
easat-11010	23	19	by	by	ADP
easat-11010	23	20	the	the	DET
easat-11010	23	21	authors	author	NOUN
easat-11010	23	22	;	;	PUNCT
easat-11010	23	23	licensee	licensee	PROPN
easat-11010	23	24	learning	learn	VERB
easat-11010	23	25	gate	gate	NOUN
easat-11010	23	26	forecasting	forecasting	NOUN
easat-11010	23	27	models	model	NOUN
easat-11010	24	1	[	[	X
easat-11010	24	2	8	8	NUM
easat-11010	24	3	,	,	PUNCT
easat-11010	24	4	9	9	NUM
easat-11010	24	5	]	]	PUNCT
easat-11010	24	6	.	.	PUNCT
easat-11010	25	1	in	in	ADP
easat-11010	25	2	load	load	NOUN
easat-11010	25	3	forecasting	forecasting	NOUN
easat-11010	25	4	,	,	PUNCT
easat-11010	25	5	bayesian	bayesian	NOUN
easat-11010	25	6	inference	inference	NOUN
easat-11010	25	7	dynamically	dynamically	ADV
easat-11010	25	8	adjusts	adjust	VERB
easat-11010	25	9	based	base	VERB
easat-11010	25	10	on	on	ADP
easat-11010	25	11	both	both	DET
easat-11010	25	12	historical	historical	ADJ
easat-11010	25	13	data	datum	NOUN
easat-11010	25	14	and	and	CCONJ
easat-11010	25	15	current	current	ADJ
easat-11010	25	16	observations	observation	NOUN
easat-11010	25	17	to	to	PART
easat-11010	25	18	enable	enable	VERB
easat-11010	25	19	adaptiveness	adaptiveness	NOUN
easat-11010	25	20	in	in	ADP
easat-11010	25	21	the	the	DET
easat-11010	25	22	forecasting	forecasting	NOUN
easat-11010	25	23	model	model	NOUN
easat-11010	25	24	[	[	X
easat-11010	25	25	10	10	NUM
easat-11010	25	26	,	,	PUNCT
easat-11010	25	27	11	11	NUM
easat-11010	25	28	]	]	PUNCT
easat-11010	25	29	.	.	PUNCT
easat-11010	26	1	in	in	ADP
easat-11010	26	2	general	general	ADJ
easat-11010	26	3	,	,	PUNCT
easat-11010	26	4	time	time	NOUN
easat-11010	26	5	series	series	PROPN
easat-11010	26	6	forecasting	forecasting	NOUN
easat-11010	26	7	employs	employ	VERB
easat-11010	26	8	an	an	DET
easat-11010	26	9	autoregressive	autoregressive	ADJ
easat-11010	26	10	(	(	PUNCT
easat-11010	26	11	ar	ar	NOUN
easat-11010	26	12	)	)	PUNCT
easat-11010	26	13	model	model	NOUN
easat-11010	26	14	that	that	PRON
easat-11010	26	15	predicts	predict	VERB
easat-11010	26	16	future	future	ADJ
easat-11010	26	17	values	value	NOUN
easat-11010	26	18	based	base	VERB
easat-11010	26	19	on	on	ADP
easat-11010	26	20	previous	previous	ADJ
easat-11010	26	21	observations	observation	NOUN
easat-11010	26	22	alone	alone	ADV
easat-11010	26	23	[	[	X
easat-11010	26	24	12	12	NUM
easat-11010	26	25	,	,	PUNCT
easat-11010	26	26	13	13	NUM
easat-11010	26	27	]	]	PUNCT
easat-11010	26	28	.	.	PUNCT
easat-11010	27	1	even	even	ADV
easat-11010	27	2	though	though	SCONJ
easat-11010	27	3	ar	ar	NOUN
easat-11010	27	4	models	model	NOUN
easat-11010	27	5	capture	capture	VERB
easat-11010	27	6	temporal	temporal	ADJ
easat-11010	27	7	dependencies	dependency	NOUN
easat-11010	27	8	effectively	effectively	ADV
easat-11010	27	9	,	,	PUNCT
easat-11010	27	10	they	they	PRON
easat-11010	27	11	assume	assume	VERB
easat-11010	27	12	that	that	SCONJ
easat-11010	27	13	in	in	ADP
easat-11010	27	14	most	most	ADJ
easat-11010	27	15	cases	case	NOUN
easat-11010	27	16	the	the	DET
easat-11010	27	17	data	datum	NOUN
easat-11010	27	18	follows	follow	VERB
easat-11010	27	19	a	a	DET
easat-11010	27	20	linear	linear	ADJ
easat-11010	27	21	structure	structure	NOUN
easat-11010	27	22	,	,	PUNCT
easat-11010	27	23	which	which	PRON
easat-11010	27	24	may	may	AUX
easat-11010	27	25	not	not	PART
easat-11010	27	26	hold	hold	VERB
easat-11010	27	27	in	in	ADP
easat-11010	27	28	realistic	realistic	ADJ
easat-11010	27	29	cases	case	NOUN
easat-11010	27	30	.	.	PUNCT
easat-11010	28	1	merging	merge	VERB
easat-11010	28	2	ar	ar	NOUN
easat-11010	28	3	models	model	NOUN
easat-11010	28	4	with	with	ADP
easat-11010	28	5	kalman	kalman	PROPN
easat-11010	28	6	filtering	filtering	NOUN
easat-11010	28	7	and	and	CCONJ
easat-11010	28	8	bayesian	bayesian	NOUN
easat-11010	28	9	inference	inference	NOUN
easat-11010	28	10	will	will	AUX
easat-11010	28	11	surmount	surmount	VERB
easat-11010	28	12	these	these	DET
easat-11010	28	13	deficiencies	deficiency	NOUN
easat-11010	28	14	by	by	ADP
easat-11010	28	15	modeling	model	VERB
easat-11010	28	16	model	model	NOUN
easat-11010	28	17	uncertainty	uncertainty	NOUN
easat-11010	28	18	and	and	CCONJ
easat-11010	28	19	adjusting	adjust	VERB
easat-11010	28	20	to	to	ADP
easat-11010	28	21	potential	potential	ADJ
easat-11010	28	22	non	non	ADJ
easat-11010	28	23	-	-	NOUN
easat-11010	28	24	stationarity	stationarity	NOUN
easat-11010	28	25	in	in	ADP
easat-11010	28	26	the	the	DET
easat-11010	28	27	data	datum	NOUN
easat-11010	28	28	[	[	X
easat-11010	28	29	14	14	NUM
easat-11010	28	30	,	,	PUNCT
easat-11010	28	31	15	15	NUM
easat-11010	28	32	]	]	PUNCT
easat-11010	28	33	.	.	PUNCT
easat-11010	29	1	the	the	DET
easat-11010	29	2	bayesian	bayesian	ADJ
easat-11010	29	3	auto	auto	NOUN
easat-11010	29	4	-	-	PUNCT
easat-11010	29	5	regressive	regressive	ADJ
easat-11010	29	6	kalman	kalman	NOUN
easat-11010	29	7	filter	filter	NOUN
easat-11010	29	8	or	or	CCONJ
easat-11010	29	9	bar	bar	NOUN
easat-11010	29	10	-	-	PUNCT
easat-11010	29	11	kf	kf	NOUN
easat-11010	29	12	combines	combine	VERB
easat-11010	29	13	features	feature	NOUN
easat-11010	29	14	of	of	ADP
easat-11010	29	15	bayesian	bayesian	NOUN
easat-11010	29	16	inference	inference	NOUN
easat-11010	29	17	,	,	PUNCT
easat-11010	29	18	ar	ar	NOUN
easat-11010	29	19	modeling	modeling	NOUN
easat-11010	29	20	,	,	PUNCT
easat-11010	29	21	and	and	CCONJ
easat-11010	29	22	kalman	kalman	PROPN
easat-11010	29	23	filtering	filter	VERB
easat-11010	29	24	to	to	PART
easat-11010	29	25	improve	improve	VERB
easat-11010	29	26	the	the	DET
easat-11010	29	27	accuracy	accuracy	NOUN
easat-11010	29	28	of	of	ADP
easat-11010	29	29	load	load	NOUN
easat-11010	29	30	forecasting	forecasting	NOUN
easat-11010	29	31	.	.	PUNCT
easat-11010	30	1	the	the	DET
easat-11010	30	2	bar	bar	NOUN
easat-11010	30	3	-	-	PUNCT
easat-11010	30	4	kf	kf	NOUN
easat-11010	30	5	framework	framework	NOUN
easat-11010	30	6	considers	consider	VERB
easat-11010	30	7	the	the	DET
easat-11010	30	8	ar	ar	PROPN
easat-11010	30	9	model	model	NOUN
easat-11010	30	10	parameters	parameter	NOUN
easat-11010	30	11	to	to	PART
easat-11010	30	12	be	be	AUX
easat-11010	30	13	random	random	ADJ
easat-11010	30	14	variables	variable	NOUN
easat-11010	30	15	with	with	ADP
easat-11010	30	16	assigned	assign	VERB
easat-11010	30	17	prior	prior	ADJ
easat-11010	30	18	distributions	distribution	NOUN
easat-11010	30	19	,	,	PUNCT
easat-11010	30	20	thus	thus	ADV
easat-11010	30	21	enabling	enable	VERB
easat-11010	30	22	a	a	DET
easat-11010	30	23	more	more	ADV
easat-11010	30	24	robust	robust	ADJ
easat-11010	30	25	and	and	CCONJ
easat-11010	30	26	adaptive	adaptive	ADJ
easat-11010	30	27	estimation	estimation	NOUN
easat-11010	30	28	[	[	X
easat-11010	30	29	16	16	NUM
easat-11010	30	30	,	,	PUNCT
easat-11010	30	31	17	17	NUM
easat-11010	30	32	]	]	PUNCT
easat-11010	30	33	.	.	PUNCT
easat-11010	31	1	this	this	DET
easat-11010	31	2	bayesian	bayesian	NOUN
easat-11010	31	3	approach	approach	NOUN
easat-11010	31	4	explicitly	explicitly	ADV
easat-11010	31	5	takes	take	VERB
easat-11010	31	6	into	into	ADP
easat-11010	31	7	account	account	NOUN
easat-11010	31	8	model	model	NOUN
easat-11010	31	9	uncertainty	uncertainty	NOUN
easat-11010	31	10	and	and	CCONJ
easat-11010	31	11	automatically	automatically	ADV
easat-11010	31	12	adapts	adapt	VERB
easat-11010	31	13	to	to	ADP
easat-11010	31	14	changing	change	VERB
easat-11010	31	15	data	datum	NOUN
easat-11010	31	16	patterns	pattern	NOUN
easat-11010	31	17	.	.	PUNCT
easat-11010	32	1	in	in	ADP
easat-11010	32	2	this	this	DET
easat-11010	32	3	regard	regard	NOUN
easat-11010	32	4	,	,	PUNCT
easat-11010	32	5	it	it	PRON
easat-11010	32	6	overcomes	overcome	VERB
easat-11010	32	7	the	the	DET
easat-11010	32	8	limitations	limitation	NOUN
easat-11010	32	9	of	of	ADP
easat-11010	32	10	previous	previous	ADJ
easat-11010	32	11	ar	ar	PROPN
easat-11010	32	12	and	and	CCONJ
easat-11010	32	13	kalman	kalman	PROPN
easat-11010	32	14	models	model	NOUN
easat-11010	32	15	[	[	X
easat-11010	32	16	18	18	NUM
easat-11010	32	17	,	,	PUNCT
easat-11010	32	18	19	19	NUM
easat-11010	32	19	]	]	PUNCT
easat-11010	32	20	.	.	PUNCT
easat-11010	33	1	in	in	ADP
easat-11010	33	2	bar	bar	NOUN
easat-11010	33	3	-	-	PUNCT
easat-11010	33	4	kf	kf	NOUN
easat-11010	33	5	,	,	PUNCT
easat-11010	33	6	the	the	DET
easat-11010	33	7	kalman	kalman	NOUN
easat-11010	33	8	filter	filter	NOUN
easat-11010	33	9	recursively	recursively	ADV
easat-11010	33	10	projects	project	VERB
easat-11010	33	11	forward	forward	ADV
easat-11010	33	12	and	and	CCONJ
easat-11010	33	13	updates	update	VERB
easat-11010	33	14	the	the	DET
easat-11010	33	15	state	state	NOUN
easat-11010	33	16	,	,	PUNCT
easat-11010	33	17	while	while	SCONJ
easat-11010	33	18	bayesian	bayesian	NOUN
easat-11010	33	19	inference	inference	NOUN
easat-11010	33	20	is	be	AUX
easat-11010	33	21	used	use	VERB
easat-11010	33	22	to	to	PART
easat-11010	33	23	estimate	estimate	VERB
easat-11010	33	24	parameters	parameter	NOUN
easat-11010	33	25	of	of	ADP
easat-11010	33	26	the	the	DET
easat-11010	33	27	ar	ar	PROPN
easat-11010	33	28	model	model	NOUN
easat-11010	33	29	.	.	PUNCT
easat-11010	34	1	incorporating	incorporate	VERB
easat-11010	34	2	these	these	PRON
easat-11010	34	3	into	into	ADP
easat-11010	34	4	a	a	DET
easat-11010	34	5	single	single	ADJ
easat-11010	34	6	algorithm	algorithm	NOUN
easat-11010	34	7	enables	enable	VERB
easat-11010	34	8	the	the	DET
easat-11010	34	9	filter	filter	NOUN
easat-11010	34	10	to	to	PART
easat-11010	34	11	dynamically	dynamically	ADV
easat-11010	34	12	adapt	adapt	VERB
easat-11010	34	13	the	the	DET
easat-11010	34	14	predictions	prediction	NOUN
easat-11010	34	15	with	with	ADP
easat-11010	34	16	the	the	DET
easat-11010	34	17	incoming	incoming	ADJ
easat-11010	34	18	data	datum	NOUN
easat-11010	34	19	and	and	CCONJ
easat-11010	34	20	prior	prior	ADJ
easat-11010	34	21	information	information	NOUN
easat-11010	34	22	,	,	PUNCT
easat-11010	34	23	thereby	thereby	ADV
easat-11010	34	24	improving	improve	VERB
easat-11010	34	25	its	its	PRON
easat-11010	34	26	robustness	robustness	NOUN
easat-11010	34	27	and	and	CCONJ
easat-11010	34	28	accuracy	accuracy	NOUN
easat-11010	34	29	[	[	X
easat-11010	34	30	20	20	NUM
easat-11010	34	31	,	,	PUNCT
easat-11010	34	32	21	21	NUM
easat-11010	34	33	]	]	PUNCT
easat-11010	34	34	.	.	PUNCT
easat-11010	35	1	bar	bar	NOUN
easat-11010	35	2	-	-	PUNCT
easat-11010	35	3	kf	kf	PROPN
easat-11010	35	4	will	will	AUX
easat-11010	35	5	also	also	ADV
easat-11010	35	6	be	be	AUX
easat-11010	35	7	able	able	ADJ
easat-11010	35	8	to	to	PART
easat-11010	35	9	capture	capture	VERB
easat-11010	35	10	the	the	DET
easat-11010	35	11	timeevolving	timeevolving	ADJ
easat-11010	35	12	nature	nature	NOUN
easat-11010	35	13	of	of	ADP
easat-11010	35	14	a	a	DET
easat-11010	35	15	non	non	ADJ
easat-11010	35	16	-	-	ADJ
easat-11010	35	17	stationary	stationary	ADJ
easat-11010	35	18	load	load	NOUN
easat-11010	35	19	pattern	pattern	NOUN
easat-11010	35	20	and	and	CCONJ
easat-11010	35	21	model	model	VERB
easat-11010	35	22	the	the	DET
easat-11010	35	23	uncertainty	uncertainty	NOUN
easat-11010	35	24	in	in	ADP
easat-11010	35	25	the	the	DET
easat-11010	35	26	forecasting	forecasting	NOUN
easat-11010	35	27	process	process	NOUN
easat-11010	35	28	through	through	ADP
easat-11010	35	29	modeling	model	VERB
easat-11010	35	30	prior	prior	ADJ
easat-11010	35	31	distributions	distribution	NOUN
easat-11010	35	32	and	and	CCONJ
easat-11010	35	33	updating	update	VERB
easat-11010	35	34	them	they	PRON
easat-11010	35	35	based	base	VERB
easat-11010	35	36	on	on	ADP
easat-11010	35	37	new	new	ADJ
easat-11010	35	38	data	datum	NOUN
easat-11010	36	1	[	[	X
easat-11010	36	2	22	22	NUM
easat-11010	36	3	]	]	PUNCT
easat-11010	36	4	and	and	CCONJ
easat-11010	36	5	liu	liu	PROPN
easat-11010	36	6	and	and	CCONJ
easat-11010	36	7	an	an	PRON
easat-11010	37	1	[	[	X
easat-11010	37	2	23	23	NUM
easat-11010	37	3	]	]	PUNCT
easat-11010	37	4	.	.	PUNCT
easat-11010	38	1	one	one	NUM
easat-11010	38	2	of	of	ADP
easat-11010	38	3	the	the	DET
easat-11010	38	4	biggest	big	ADJ
easat-11010	38	5	advantages	advantage	NOUN
easat-11010	38	6	of	of	ADP
easat-11010	38	7	bar	bar	NOUN
easat-11010	38	8	-	-	PUNCT
easat-11010	38	9	kf	kf	PROPN
easat-11010	38	10	is	be	AUX
easat-11010	38	11	that	that	SCONJ
easat-11010	38	12	it	it	PRON
easat-11010	38	13	can	can	AUX
easat-11010	38	14	provide	provide	VERB
easat-11010	38	15	probabilistic	probabilistic	ADJ
easat-11010	38	16	forecasts	forecast	NOUN
easat-11010	38	17	,	,	PUNCT
easat-11010	38	18	not	not	PART
easat-11010	38	19	just	just	ADV
easat-11010	38	20	point	point	VERB
easat-11010	38	21	estimates	estimate	NOUN
easat-11010	38	22	.	.	PUNCT
easat-11010	39	1	in	in	ADP
easat-11010	39	2	fact	fact	NOUN
easat-11010	39	3	,	,	PUNCT
easat-11010	39	4	this	this	PRON
easat-11010	39	5	offers	offer	VERB
easat-11010	39	6	quantification	quantification	NOUN
easat-11010	39	7	of	of	ADP
easat-11010	39	8	uncertainty	uncertainty	NOUN
easat-11010	39	9	in	in	ADP
easat-11010	39	10	load	load	NOUN
easat-11010	39	11	forecasting	forecasting	NOUN
easat-11010	39	12	that	that	PRON
easat-11010	39	13	is	be	AUX
easat-11010	39	14	,	,	PUNCT
easat-11010	39	15	better	well	ADJ
easat-11010	39	16	decisions	decision	NOUN
easat-11010	39	17	and	and	CCONJ
easat-11010	39	18	risk	risk	NOUN
easat-11010	39	19	management	management	NOUN
easat-11010	39	20	can	can	AUX
easat-11010	39	21	be	be	AUX
easat-11010	39	22	informed	inform	VERB
easat-11010	39	23	by	by	ADP
easat-11010	39	24	understanding	understand	VERB
easat-11010	39	25	the	the	DET
easat-11010	39	26	range	range	NOUN
easat-11010	39	27	of	of	ADP
easat-11010	39	28	possible	possible	ADJ
easat-11010	39	29	demands	demand	NOUN
easat-11010	39	30	in	in	ADP
easat-11010	39	31	the	the	DET
easat-11010	39	32	future	future	NOUN
easat-11010	39	33	[	[	X
easat-11010	39	34	24	24	NUM
easat-11010	39	35	,	,	PUNCT
easat-11010	39	36	25	25	NUM
easat-11010	39	37	]	]	PUNCT
easat-11010	39	38	.	.	PUNCT
easat-11010	40	1	more	more	ADV
easat-11010	40	2	importantly	importantly	ADV
easat-11010	40	3	,	,	PUNCT
easat-11010	40	4	external	external	ADJ
easat-11010	40	5	factors	factor	NOUN
easat-11010	40	6	and	and	CCONJ
easat-11010	40	7	domain	domain	NOUN
easat-11010	40	8	knowledge	knowledge	NOUN
easat-11010	40	9	can	can	AUX
easat-11010	40	10	be	be	AUX
easat-11010	40	11	encapsulated	encapsulate	VERB
easat-11010	40	12	into	into	ADP
easat-11010	40	13	the	the	DET
easat-11010	40	14	bayesian	bayesian	NOUN
easat-11010	40	15	framework	framework	NOUN
easat-11010	40	16	to	to	PART
easat-11010	40	17	improve	improve	VERB
easat-11010	40	18	the	the	DET
easat-11010	40	19	model	model	NOUN
easat-11010	40	20	's	's	PART
easat-11010	40	21	forecast	forecast	NOUN
easat-11010	40	22	performance	performance	NOUN
easat-11010	40	23	accordingly	accordingly	ADV
easat-11010	40	24	[	[	X
easat-11010	40	25	26	26	NUM
easat-11010	40	26	,	,	PUNCT
easat-11010	40	27	27	27	NUM
easat-11010	40	28	]	]	PUNCT
easat-11010	40	29	.	.	PUNCT
easat-11010	41	1	bar	bar	NOUN
easat-11010	41	2	-	-	PUNCT
easat-11010	41	3	kf	kf	PROPN
easat-11010	41	4	has	have	AUX
easat-11010	41	5	been	be	AUX
easat-11010	41	6	used	use	VERB
easat-11010	41	7	in	in	ADP
easat-11010	41	8	many	many	ADJ
easat-11010	41	9	domains	domain	NOUN
easat-11010	41	10	under	under	ADP
easat-11010	41	11	the	the	DET
easat-11010	41	12	heading	heading	NOUN
easat-11010	41	13	of	of	ADP
easat-11010	41	14	load	load	NOUN
easat-11010	41	15	forecasting	forecasting	NOUN
easat-11010	41	16	,	,	PUNCT
easat-11010	41	17	which	which	PRON
easat-11010	41	18	includes	include	VERB
easat-11010	41	19	residential	residential	ADJ
easat-11010	41	20	,	,	PUNCT
easat-11010	41	21	commercial	commercial	ADJ
easat-11010	41	22	,	,	PUNCT
easat-11010	41	23	and	and	CCONJ
easat-11010	41	24	industrial	industrial	ADJ
easat-11010	41	25	sectors	sector	NOUN
easat-11010	41	26	.	.	PUNCT
easat-11010	42	1	in	in	ADP
easat-11010	42	2	residential	residential	ADJ
easat-11010	42	3	load	load	NOUN
easat-11010	42	4	forecasting	forecasting	NOUN
easat-11010	42	5	,	,	PUNCT
easat-11010	42	6	it	it	PRON
easat-11010	42	7	is	be	AUX
easat-11010	42	8	performed	perform	VERB
easat-11010	42	9	using	use	VERB
easat-11010	42	10	historical	historical	ADJ
easat-11010	42	11	data	datum	NOUN
easat-11010	42	12	of	of	ADP
easat-11010	42	13	electricity	electricity	NOUN
easat-11010	42	14	consumption	consumption	NOUN
easat-11010	42	15	and	and	CCONJ
easat-11010	42	16	weather	weather	NOUN
easat-11010	42	17	variables	variable	NOUN
easat-11010	42	18	to	to	PART
easat-11010	42	19	predict	predict	VERB
easat-11010	42	20	consumption	consumption	NOUN
easat-11010	42	21	patterns	pattern	NOUN
easat-11010	42	22	[	[	X
easat-11010	42	23	28	28	NUM
easat-11010	42	24	,	,	PUNCT
easat-11010	42	25	29	29	NUM
easat-11010	42	26	]	]	PUNCT
easat-11010	42	27	.	.	PUNCT
easat-11010	43	1	in	in	ADP
easat-11010	43	2	the	the	DET
easat-11010	43	3	case	case	NOUN
easat-11010	43	4	of	of	ADP
easat-11010	43	5	commercial	commercial	ADJ
easat-11010	43	6	and	and	CCONJ
easat-11010	43	7	industrial	industrial	ADJ
easat-11010	43	8	purposes	purpose	NOUN
easat-11010	43	9	,	,	PUNCT
easat-11010	43	10	the	the	DET
easat-11010	43	11	filter	filter	NOUN
easat-11010	43	12	optimizes	optimize	VERB
easat-11010	43	13	energy	energy	NOUN
easat-11010	43	14	usage	usage	NOUN
easat-11010	43	15	by	by	ADP
easat-11010	43	16	correctly	correctly	ADV
easat-11010	43	17	estimating	estimate	VERB
easat-11010	43	18	peak	peak	NOUN
easat-11010	43	19	load	load	NOUN
easat-11010	43	20	demand	demand	NOUN
easat-11010	43	21	and	and	CCONJ
easat-11010	43	22	identifying	identify	VERB
easat-11010	43	23	possible	possible	ADJ
easat-11010	43	24	opportunities	opportunity	NOUN
easat-11010	43	25	for	for	ADP
easat-11010	43	26	energy	energy	NOUN
easat-11010	43	27	savings	saving	NOUN
easat-11010	43	28	[	[	X
easat-11010	43	29	30	30	NUM
easat-11010	43	30	,	,	PUNCT
easat-11010	43	31	31	31	NUM
easat-11010	43	32	]	]	PUNCT
easat-11010	43	33	.	.	PUNCT
easat-11010	44	1	advancements	advancement	NOUN
easat-11010	44	2	in	in	ADP
easat-11010	44	3	computational	computational	ADJ
easat-11010	44	4	techniques	technique	NOUN
easat-11010	44	5	and	and	CCONJ
easat-11010	44	6	algorithms	algorithm	NOUN
easat-11010	44	7	have	have	AUX
easat-11010	44	8	been	be	AUX
easat-11010	44	9	very	very	ADV
easat-11010	44	10	effective	effective	ADJ
easat-11010	44	11	in	in	ADP
easat-11010	44	12	making	make	VERB
easat-11010	44	13	bar	bar	NOUN
easat-11010	44	14	-	-	PUNCT
easat-11010	44	15	kf	kf	NOUN
easat-11010	44	16	more	more	ADV
easat-11010	44	17	efficient	efficient	ADJ
easat-11010	44	18	.	.	PUNCT
easat-11010	45	1	some	some	PRON
easat-11010	45	2	of	of	ADP
easat-11010	45	3	the	the	DET
easat-11010	45	4	methods	method	NOUN
easat-11010	45	5	employed	employ	VERB
easat-11010	45	6	to	to	PART
easat-11010	45	7	achieve	achieve	VERB
easat-11010	45	8	these	these	DET
easat-11010	45	9	improvements	improvement	NOUN
easat-11010	45	10	are	be	AUX
easat-11010	45	11	particle	particle	NOUN
easat-11010	45	12	filtering	filtering	NOUN
easat-11010	45	13	and	and	CCONJ
easat-11010	45	14	mcmc	mcmc	PROPN
easat-11010	45	15	methods	method	NOUN
easat-11010	45	16	that	that	PRON
easat-11010	45	17	better	well	ADV
easat-11010	45	18	evaluate	evaluate	VERB
easat-11010	45	19	the	the	DET
easat-11010	45	20	posterior	posterior	ADJ
easat-11010	45	21	distribution	distribution	NOUN
easat-11010	45	22	of	of	ADP
easat-11010	45	23	the	the	DET
easat-11010	45	24	ar	ar	NOUN
easat-11010	45	25	parameters	parameter	NOUN
easat-11010	45	26	,	,	PUNCT
easat-11010	45	27	which	which	PRON
easat-11010	45	28	further	far	ADV
easat-11010	45	29	refine	refine	VERB
easat-11010	45	30	the	the	DET
easat-11010	45	31	filtering	filter	VERB
easat-11010	45	32	process	process	NOUN
easat-11010	45	33	[	[	X
easat-11010	45	34	32	32	NUM
easat-11010	45	35	,	,	PUNCT
easat-11010	45	36	33	33	NUM
easat-11010	45	37	]	]	PUNCT
easat-11010	45	38	.	.	PUNCT
easat-11010	46	1	corresponding	correspond	VERB
easat-11010	46	2	challenges	challenge	NOUN
easat-11010	46	3	in	in	ADP
easat-11010	46	4	high	high	ADJ
easat-11010	46	5	-	-	PUNCT
easat-11010	46	6	performance	performance	NOUN
easat-11010	46	7	computing	computing	NOUN
easat-11010	46	8	and	and	CCONJ
easat-11010	46	9	parallel	parallel	ADJ
easat-11010	46	10	computation	computation	NOUN
easat-11010	46	11	also	also	ADV
easat-11010	46	12	made	make	VERB
easat-11010	46	13	the	the	DET
easat-11010	46	14	real	real	ADJ
easat-11010	46	15	-	-	PUNCT
easat-11010	46	16	time	time	NOUN
easat-11010	46	17	application	application	NOUN
easat-11010	46	18	of	of	ADP
easat-11010	46	19	bar	bar	NOUN
easat-11010	46	20	-	-	PUNCT
easat-11010	46	21	kf	kf	NOUN
easat-11010	46	22	with	with	ADP
easat-11010	46	23	large	large	ADJ
easat-11010	46	24	amounts	amount	NOUN
easat-11010	46	25	of	of	ADP
easat-11010	46	26	data	datum	NOUN
easat-11010	46	27	possible	possible	ADJ
easat-11010	46	28	[	[	X
easat-11010	46	29	34	34	NUM
easat-11010	46	30	,	,	PUNCT
easat-11010	46	31	35	35	NUM
easat-11010	46	32	]	]	PUNCT
easat-11010	46	33	.	.	PUNCT
easat-11010	47	1	fusing	fuse	VERB
easat-11010	47	2	machine	machine	NOUN
easat-11010	47	3	learning	learn	VERB
easat-11010	47	4	algorithms	algorithm	NOUN
easat-11010	47	5	with	with	ADP
easat-11010	47	6	bar	bar	NOUN
easat-11010	47	7	-	-	PUNCT
easat-11010	47	8	kf	kf	PROPN
easat-11010	47	9	is	be	AUX
easat-11010	47	10	another	another	DET
easat-11010	47	11	promising	promising	ADJ
easat-11010	47	12	development	development	NOUN
easat-11010	47	13	that	that	PRON
easat-11010	47	14	warrants	warrant	NOUN
easat-11010	47	15	further	further	ADJ
easat-11010	47	16	improvement	improvement	NOUN
easat-11010	47	17	.	.	PUNCT
easat-11010	48	1	this	this	PRON
easat-11010	48	2	may	may	AUX
easat-11010	48	3	help	help	VERB
easat-11010	48	4	to	to	PART
easat-11010	48	5	enhance	enhance	VERB
easat-11010	48	6	the	the	DET
easat-11010	48	7	sophisticated	sophisticated	ADJ
easat-11010	48	8	yet	yet	ADV
easat-11010	48	9	probabilistic	probabilistic	ADJ
easat-11010	48	10	adaptive	adaptive	ADJ
easat-11010	48	11	creeping	creep	VERB
easat-11010	48	12	behavior	behavior	NOUN
easat-11010	48	13	of	of	ADP
easat-11010	48	14	bar	bar	NOUN
easat-11010	48	15	-	-	PUNCT
easat-11010	48	16	kf	kf	NOUN
easat-11010	48	17	by	by	ADP
easat-11010	48	18	capturing	capture	VERB
easat-11010	48	19	non	non	ADJ
easat-11010	48	20	-	-	NOUN
easat-11010	48	21	linearities	linearity	NOUN
easat-11010	48	22	and	and	CCONJ
easat-11010	48	23	feature	feature	NOUN
easat-11010	48	24	interactions	interaction	NOUN
easat-11010	48	25	present	present	ADJ
easat-11010	48	26	in	in	ADP
easat-11010	48	27	the	the	DET
easat-11010	48	28	load	load	NOUN
easat-11010	48	29	series	series	NOUN
easat-11010	48	30	[	[	X
easat-11010	48	31	36	36	NUM
easat-11010	48	32	,	,	PUNCT
easat-11010	48	33	37	37	NUM
easat-11010	48	34	]	]	PUNCT
easat-11010	48	35	.	.	PUNCT
easat-11010	49	1	this	this	PRON
easat-11010	49	2	is	be	AUX
easat-11010	49	3	the	the	DET
easat-11010	49	4	approach	approach	NOUN
easat-11010	49	5	that	that	PRON
easat-11010	49	6	quite	quite	ADV
easat-11010	49	7	interestingly	interestingly	ADV
easat-11010	49	8	combines	combine	VERB
easat-11010	49	9	both	both	CCONJ
easat-11010	49	10	traditional	traditional	ADJ
easat-11010	49	11	,	,	PUNCT
easat-11010	49	12	statistical	statistical	ADJ
easat-11010	49	13	approaches	approach	NOUN
easat-11010	49	14	and	and	CCONJ
easat-11010	49	15	modern	modern	ADJ
easat-11010	49	16	,	,	PUNCT
easat-11010	49	17	machine	machine	NOUN
easat-11010	49	18	learning	learn	VERB
easat-11010	49	19	techniques	technique	NOUN
easat-11010	49	20	to	to	PART
easat-11010	49	21	produce	produce	VERB
easat-11010	49	22	accurate	accurate	ADJ
easat-11010	49	23	load	load	NOUN
easat-11010	49	24	forecasting	forecasting	NOUN
easat-11010	49	25	[	[	X
easat-11010	49	26	38	38	NUM
easat-11010	49	27	,	,	PUNCT
easat-11010	49	28	39	39	NUM
easat-11010	49	29	]	]	PUNCT
easat-11010	49	30	.	.	PUNCT
easat-11010	50	1	the	the	DET
easat-11010	50	2	bar	bar	NOUN
easat-11010	50	3	-	-	PUNCT
easat-11010	50	4	kf	kf	PROPN
easat-11010	50	5	is	be	AUX
easat-11010	50	6	a	a	DET
easat-11010	50	7	generic	generic	ADJ
easat-11010	50	8	linear	linear	NOUN
easat-11010	50	9	model	model	NOUN
easat-11010	50	10	in	in	ADP
easat-11010	50	11	electricity	electricity	NOUN
easat-11010	50	12	load	load	NOUN
easat-11010	50	13	forecasting	forecasting	NOUN
easat-11010	50	14	,	,	PUNCT
easat-11010	50	15	in	in	ADP
easat-11010	50	16	light	light	NOUN
easat-11010	50	17	of	of	ADP
easat-11010	50	18	the	the	DET
easat-11010	50	19	great	great	ADJ
easat-11010	50	20	innovation	innovation	NOUN
easat-11010	50	21	that	that	SCONJ
easat-11010	50	22	it	it	PRON
easat-11010	50	23	possesses	possess	VERB
easat-11010	50	24	:	:	PUNCT
easat-11010	50	25	bayesian	bayesian	NOUN
easat-11010	50	26	approaches	approach	NOUN
easat-11010	50	27	combining	combine	VERB
easat-11010	50	28	modeling	modeling	NOUN
easat-11010	50	29	with	with	ADP
easat-11010	50	30	kalman	kalman	NOUN
easat-11010	50	31	.	.	PUNCT
easat-11010	51	1	in	in	ADP
easat-11010	51	2	this	this	DET
easat-11010	51	3	manner	manner	NOUN
easat-11010	51	4	,	,	PUNCT
easat-11010	51	5	the	the	DET
easat-11010	51	6	bar	bar	NOUN
easat-11010	51	7	-	-	PUNCT
easat-11010	51	8	kf	kf	NOUN
easat-11010	51	9	resolves	resolve	NOUN
easat-11010	51	10	the	the	DET
easat-11010	51	11	illustrated	illustrate	VERB
easat-11010	51	12	limitations	limitation	NOUN
easat-11010	51	13	by	by	ADP
easat-11010	51	14	fixed	fix	VERB
easat-11010	51	15	forecasting	forecasting	NOUN
easat-11010	51	16	techniques	technique	NOUN
easat-11010	51	17	in	in	ADP
easat-11010	51	18	power	power	NOUN
easat-11010	51	19	prediction	prediction	NOUN
easat-11010	51	20	and	and	CCONJ
easat-11010	51	21	adds	add	VERB
easat-11010	51	22	some	some	DET
easat-11010	51	23	average	average	ADJ
easat-11010	51	24	probabilistic	probabilistic	ADJ
easat-11010	51	25	and	and	CCONJ
easat-11010	51	26	adaptive	adaptive	ADJ
easat-11010	51	27	mechanics	mechanic	NOUN
easat-11010	51	28	for	for	ADP
easat-11010	51	29	the	the	DET
easat-11010	51	30	prediction	prediction	NOUN
easat-11010	51	31	of	of	ADP
easat-11010	51	32	future	future	ADJ
easat-11010	51	33	electricity	electricity	NOUN
easat-11010	51	34	requirements	requirement	NOUN
easat-11010	51	35	.	.	PUNCT
easat-11010	52	1	that	that	PRON
easat-11010	52	2	is	be	AUX
easat-11010	52	3	,	,	PUNCT
easat-11010	52	4	constant	constant	ADJ
easat-11010	52	5	theories	theory	NOUN
easat-11010	52	6	and	and	CCONJ
easat-11010	52	7	the	the	DET
easat-11010	52	8	enhancement	enhancement	NOUN
easat-11010	52	9	of	of	ADP
easat-11010	52	10	technology	technology	NOUN
easat-11010	52	11	keep	keep	VERB
easat-11010	52	12	the	the	DET
easat-11010	52	13	grounds	ground	NOUN
easat-11010	52	14	of	of	ADP
easat-11010	52	15	the	the	DET
easat-11010	52	16	system	system	NOUN
easat-11010	52	17	developing	develop	VERB
easat-11010	52	18	more	more	ADJ
easat-11010	52	19	and	and	CCONJ
easat-11010	52	20	more	more	ADJ
easat-11010	52	21	.	.	PUNCT
easat-11010	53	1	it	it	PRON
easat-11010	53	2	has	have	AUX
easat-11010	53	3	grown	grow	VERB
easat-11010	53	4	to	to	PART
easat-11010	53	5	be	be	AUX
easat-11010	53	6	quite	quite	DET
easat-11010	53	7	a	a	DET
easat-11010	53	8	beneficial	beneficial	ADJ
easat-11010	53	9	tool	tool	NOUN
easat-11010	53	10	in	in	ADP
easat-11010	53	11	optimizing	optimize	VERB
easat-11010	53	12	energy	energy	NOUN
easat-11010	53	13	management	management	NOUN
easat-11010	53	14	and	and	CCONJ
easat-11010	53	15	decisionmaking	decisionmake	VERB
easat-11010	53	16	in	in	ADP
easat-11010	53	17	complex	complex	ADJ
easat-11010	53	18	and	and	CCONJ
easat-11010	53	19	dynamic	dynamic	ADJ
easat-11010	53	20	environments	environment	NOUN
easat-11010	53	21	.	.	PUNCT
easat-11010	54	1	841	841	NUM
easat-11010	54	2	edelweiss	edelweiss	PROPN
easat-11010	54	3	applied	apply	VERB
easat-11010	54	4	science	science	NOUN
easat-11010	54	5	and	and	CCONJ
easat-11010	54	6	technology	technology	NOUN
easat-11010	54	7	issn	issn	PROPN
easat-11010	54	8	:	:	PUNCT
easat-11010	54	9	2576	2576	NUM
easat-11010	54	10	-	-	SYM
easat-11010	54	11	8484	8484	NUM
easat-11010	54	12	vol	vol	NOUN
easat-11010	54	13	.	.	PROPN
easat-11010	55	1	9	9	NUM
easat-11010	55	2	,	,	PUNCT
easat-11010	55	3	no	no	INTJ
easat-11010	55	4	.	.	NOUN
easat-11010	55	5	11	11	NUM
easat-11010	55	6	:	:	PUNCT
easat-11010	55	7	839	839	NUM
easat-11010	55	8	-	-	NUM
easat-11010	55	9	852	852	NUM
easat-11010	55	10	,	,	PUNCT
easat-11010	55	11	2025	2025	NUM
easat-11010	55	12	doi	doi	NOUN
easat-11010	55	13	:	:	PUNCT
easat-11010	55	14	10.55214/2576	10.55214/2576	NUM
easat-11010	55	15	-	-	SYM
easat-11010	55	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	55	17	©	©	ADP
easat-11010	55	18	2025	2025	NUM
easat-11010	55	19	by	by	ADP
easat-11010	55	20	the	the	DET
easat-11010	55	21	authors	author	NOUN
easat-11010	55	22	;	;	PUNCT
easat-11010	55	23	licensee	licensee	PROPN
easat-11010	55	24	learning	learning	NOUN
easat-11010	55	25	gate	gate	NOUN
easat-11010	55	26	2	2	NUM
easat-11010	55	27	.	.	PUNCT
easat-11010	56	1	literature	literature	PROPN
easat-11010	56	2	review	review	VERB
easat-11010	56	3	2.1	2.1	NUM
easat-11010	56	4	.	.	PUNCT
easat-11010	57	1	bayesian	bayesian	NOUN
easat-11010	57	2	model	model	NOUN
easat-11010	57	3	in	in	ADP
easat-11010	57	4	load	load	NOUN
easat-11010	57	5	electricity	electricity	NOUN
easat-11010	57	6	forecasting	forecasting	NOUN
easat-11010	57	7	as	as	ADV
easat-11010	57	8	much	much	ADV
easat-11010	57	9	as	as	SCONJ
easat-11010	57	10	there	there	PRON
easat-11010	57	11	are	be	VERB
easat-11010	57	12	vital	vital	ADJ
easat-11010	57	13	tasks	task	NOUN
easat-11010	57	14	that	that	PRON
easat-11010	57	15	resemble	resemble	VERB
easat-11010	57	16	electricity	electricity	NOUN
easat-11010	57	17	load	load	NOUN
easat-11010	57	18	forecasting	forecasting	NOUN
easat-11010	57	19	,	,	PUNCT
easat-11010	57	20	one	one	NUM
easat-11010	57	21	specific	specific	ADJ
easat-11010	57	22	task	task	NOUN
easat-11010	57	23	stands	stand	VERB
easat-11010	57	24	out	out	ADP
easat-11010	57	25	,	,	PUNCT
easat-11010	57	26	and	and	CCONJ
easat-11010	57	27	that	that	PRON
easat-11010	57	28	is	be	AUX
easat-11010	57	29	inferring	infer	VERB
easat-11010	57	30	from	from	ADP
easat-11010	57	31	the	the	DET
easat-11010	57	32	previous	previous	ADJ
easat-11010	57	33	data	data	NOUN
easat-11010	57	34	,	,	PUNCT
easat-11010	57	35	taking	take	VERB
easat-11010	57	36	into	into	ADP
easat-11010	57	37	consideration	consideration	NOUN
easat-11010	57	38	the	the	DET
easat-11010	57	39	demands	demand	NOUN
easat-11010	57	40	that	that	PRON
easat-11010	57	41	will	will	AUX
easat-11010	57	42	be	be	AUX
easat-11010	57	43	made	make	VERB
easat-11010	57	44	in	in	ADP
easat-11010	57	45	the	the	DET
easat-11010	57	46	coming	come	VERB
easat-11010	57	47	days	day	NOUN
easat-11010	57	48	based	base	VERB
easat-11010	57	49	on	on	ADP
easat-11010	57	50	several	several	ADJ
easat-11010	57	51	factors	factor	NOUN
easat-11010	57	52	influencing	influence	VERB
easat-11010	57	53	that	that	SCONJ
easat-11010	57	54	basic	basic	ADJ
easat-11010	57	55	economic	economic	ADJ
easat-11010	57	56	need	need	NOUN
easat-11010	57	57	.	.	PUNCT
easat-11010	58	1	it	it	PRON
easat-11010	58	2	has	have	AUX
easat-11010	58	3	been	be	AUX
easat-11010	58	4	identified	identify	VERB
easat-11010	58	5	that	that	SCONJ
easat-11010	58	6	,	,	PUNCT
easat-11010	58	7	more	more	ADV
easat-11010	58	8	often	often	ADV
easat-11010	58	9	than	than	ADP
easat-11010	58	10	not	not	PART
easat-11010	58	11	,	,	PUNCT
easat-11010	58	12	conventional	conventional	ADJ
easat-11010	58	13	methods	method	NOUN
easat-11010	58	14	of	of	ADP
easat-11010	58	15	load	load	NOUN
easat-11010	58	16	forecasting	forecasting	NOUN
easat-11010	58	17	,	,	PUNCT
easat-11010	58	18	which	which	PRON
easat-11010	58	19	are	be	AUX
easat-11010	58	20	most	most	ADV
easat-11010	58	21	commonly	commonly	ADV
easat-11010	58	22	used	use	VERB
easat-11010	58	23	,	,	PUNCT
easat-11010	58	24	fall	fall	VERB
easat-11010	58	25	short	short	ADJ
easat-11010	58	26	in	in	ADP
easat-11010	58	27	tracking	track	VERB
easat-11010	58	28	internal	internal	ADJ
easat-11010	58	29	variations	variation	NOUN
easat-11010	58	30	and	and	CCONJ
easat-11010	58	31	the	the	DET
easat-11010	58	32	time	time	NOUN
easat-11010	58	33	dimension	dimension	NOUN
easat-11010	58	34	in	in	ADP
easat-11010	58	35	electricity	electricity	NOUN
easat-11010	58	36	load	load	NOUN
easat-11010	58	37	data	datum	NOUN
easat-11010	58	38	.	.	PUNCT
easat-11010	59	1	bayesian	bayesian	NOUN
easat-11010	59	2	equations	equation	NOUN
easat-11010	59	3	provide	provide	VERB
easat-11010	59	4	a	a	DET
easat-11010	59	5	powerful	powerful	ADJ
easat-11010	59	6	framework	framework	NOUN
easat-11010	59	7	in	in	ADP
easat-11010	59	8	which	which	PRON
easat-11010	59	9	prior	prior	ADJ
easat-11010	59	10	knowledge	knowledge	NOUN
easat-11010	59	11	can	can	AUX
easat-11010	59	12	be	be	AUX
easat-11010	59	13	incorporated	incorporate	VERB
easat-11010	59	14	,	,	PUNCT
easat-11010	59	15	and	and	CCONJ
easat-11010	59	16	the	the	DET
easat-11010	59	17	quantification	quantification	NOUN
easat-11010	59	18	of	of	ADP
easat-11010	59	19	uncertainty	uncertainty	NOUN
easat-11010	59	20	in	in	ADP
easat-11010	59	21	the	the	DET
easat-11010	59	22	predictions	prediction	NOUN
easat-11010	59	23	is	be	AUX
easat-11010	59	24	enabled	enable	VERB
easat-11010	59	25	.	.	PUNCT
easat-11010	60	1	this	this	DET
easat-11010	60	2	section	section	NOUN
easat-11010	60	3	discusses	discuss	VERB
easat-11010	60	4	bayesian	bayesian	NOUN
easat-11010	60	5	equations	equation	NOUN
easat-11010	60	6	,	,	PUNCT
easat-11010	60	7	their	their	PRON
easat-11010	60	8	application	application	NOUN
easat-11010	60	9	in	in	ADP
easat-11010	60	10	electricity	electricity	NOUN
easat-11010	60	11	load	load	NOUN
easat-11010	60	12	forecasting	forecasting	NOUN
easat-11010	60	13	,	,	PUNCT
easat-11010	60	14	and	and	CCONJ
easat-11010	60	15	the	the	DET
easat-11010	60	16	advantages	advantage	NOUN
easat-11010	60	17	of	of	ADP
easat-11010	60	18	such	such	DET
easat-11010	60	19	an	an	DET
easat-11010	60	20	approach	approach	NOUN
easat-11010	60	21	over	over	ADP
easat-11010	60	22	traditional	traditional	ADJ
easat-11010	60	23	methods	method	NOUN
easat-11010	60	24	[	[	X
easat-11010	60	25	40	40	NUM
easat-11010	60	26	]	]	PUNCT
easat-11010	60	27	.	.	PUNCT
easat-11010	61	1	it	it	PRON
easat-11010	61	2	has	have	AUX
easat-11010	61	3	been	be	AUX
easat-11010	61	4	mentioned	mention	VERB
easat-11010	61	5	above	above	ADP
easat-11010	61	6	that	that	SCONJ
easat-11010	61	7	bayesian	bayesian	NOUN
easat-11010	61	8	equations	equation	NOUN
easat-11010	61	9	find	find	VERB
easat-11010	61	10	their	their	PRON
easat-11010	61	11	roots	root	NOUN
easat-11010	61	12	in	in	ADP
easat-11010	61	13	bayesian	bayesian	NOUN
easat-11010	61	14	inference	inference	NOUN
easat-11010	61	15	.	.	PUNCT
easat-11010	62	1	it	it	PRON
easat-11010	62	2	is	be	AUX
easat-11010	62	3	due	due	ADJ
easat-11010	62	4	to	to	ADP
easat-11010	62	5	thomas	thomas	PROPN
easat-11010	62	6	bayes	bayes	PROPN
easat-11010	62	7	that	that	PRON
easat-11010	62	8	the	the	DET
easat-11010	62	9	term	term	NOUN
easat-11010	62	10	is	be	AUX
easat-11010	62	11	derived	derive	VERB
easat-11010	62	12	from	from	ADP
easat-11010	62	13	.	.	PUNCT
easat-11010	63	1	the	the	DET
easat-11010	63	2	term	term	NOUN
easat-11010	63	3	bayesian	bayesian	NOUN
easat-11010	63	4	inference	inference	NOUN
easat-11010	63	5	involves	involve	VERB
easat-11010	63	6	a	a	DET
easat-11010	63	7	way	way	NOUN
easat-11010	63	8	to	to	PART
easat-11010	63	9	modify	modify	VERB
easat-11010	63	10	the	the	DET
easat-11010	63	11	likelihood	likelihood	NOUN
easat-11010	63	12	of	of	ADP
easat-11010	63	13	a	a	DET
easat-11010	63	14	certain	certain	ADJ
easat-11010	63	15	hypothesis	hypothesis	NOUN
easat-11010	63	16	based	base	VERB
easat-11010	63	17	on	on	ADP
easat-11010	63	18	obtaining	obtain	VERB
easat-11010	63	19	further	further	ADJ
easat-11010	63	20	corroborative	corroborative	ADJ
easat-11010	63	21	evidence	evidence	NOUN
easat-11010	63	22	.	.	PUNCT
easat-11010	64	1	it	it	PRON
easat-11010	64	2	presents	present	VERB
easat-11010	64	3	a	a	DET
easat-11010	64	4	mechanism	mechanism	NOUN
easat-11010	64	5	for	for	ADP
easat-11010	64	6	revising	revise	VERB
easat-11010	64	7	the	the	DET
easat-11010	64	8	estimate	estimate	NOUN
easat-11010	64	9	of	of	ADP
easat-11010	64	10	a	a	DET
easat-11010	64	11	given	give	VERB
easat-11010	64	12	parameter	parameter	NOUN
easat-11010	64	13	's	's	PART
easat-11010	64	14	probability	probability	NOUN
easat-11010	64	15	based	base	VERB
easat-11010	64	16	on	on	ADP
easat-11010	64	17	prior	prior	ADJ
easat-11010	64	18	knowledge	knowledge	NOUN
easat-11010	64	19	and	and	CCONJ
easat-11010	64	20	the	the	DET
easat-11010	64	21	observed	observed	ADJ
easat-11010	64	22	data	datum	NOUN
easat-11010	64	23	,	,	PUNCT
easat-11010	64	24	through	through	ADP
easat-11010	64	25	the	the	DET
easat-11010	64	26	application	application	NOUN
easat-11010	64	27	of	of	ADP
easat-11010	64	28	bayes	bayes	PROPN
easat-11010	64	29	'	'	PART
easat-11010	64	30	theorem	theorem	NOUN
easat-11010	64	31	[	[	X
easat-11010	64	32	41	41	NUM
easat-11010	64	33	]	]	PUNCT
easat-11010	64	34	.	.	PUNCT
easat-11010	65	1	bayes	bayes	PROPN
easat-11010	65	2	'	'	PART
easat-11010	65	3	theorem	theorem	NOUN
easat-11010	65	4	is	be	AUX
easat-11010	65	5	mathematically	mathematically	ADV
easat-11010	65	6	expressed	express	VERB
easat-11010	65	7	as	as	ADP
easat-11010	65	8	:	:	PUNCT
easat-11010	65	9	𝑃	𝑃	PROPN
easat-11010	65	10	(	(	PUNCT
easat-11010	65	11	𝜃	𝜃	NUM
easat-11010	65	12	∣∣	∣∣	NUM
easat-11010	65	13	𝑦	𝑦	NOUN
easat-11010	65	14	)	)	PUNCT
easat-11010	65	15	=	=	PUNCT
easat-11010	65	16	𝑃	𝑃	PROPN
easat-11010	65	17	(	(	PUNCT
easat-11010	65	18	𝑦	𝑦	NOUN
easat-11010	65	19	∣∣	∣∣	NUM
easat-11010	65	20	𝜃	𝜃	NOUN
easat-11010	65	21	)	)	PUNCT
easat-11010	65	22	⋅	⋅	PROPN
easat-11010	65	23	𝑃(𝜃	𝑃(𝜃	PROPN
easat-11010	65	24	)	)	PUNCT
easat-11010	65	25	𝑃(𝑦	𝑃(𝑦	PROPN
easat-11010	65	26	)	)	PUNCT
easat-11010	65	27	(	(	PUNCT
easat-11010	65	28	1	1	X
easat-11010	65	29	)	)	PUNCT
easat-11010	65	30	where	where	SCONJ
easat-11010	65	31	:	:	PUNCT
easat-11010	65	32	•	•	PUNCT
easat-11010	65	33	𝑃	𝑃	PROPN
easat-11010	65	34	(	(	PUNCT
easat-11010	65	35	𝜃	𝜃	NUM
easat-11010	65	36	∣∣	∣∣	NUM
easat-11010	65	37	𝑦	𝑦	NOUN
easat-11010	65	38	)	)	PUNCT
easat-11010	65	39	is	be	AUX
easat-11010	65	40	the	the	DET
easat-11010	65	41	posterior	posterior	ADJ
easat-11010	65	42	probability	probability	NOUN
easat-11010	65	43	of	of	ADP
easat-11010	65	44	the	the	DET
easat-11010	65	45	parameter	parameter	NOUN
easat-11010	65	46	𝜃	𝜃	NOUN
easat-11010	65	47	given	give	VERB
easat-11010	65	48	the	the	DET
easat-11010	65	49	data	datum	NOUN
easat-11010	65	50	𝑦.	𝑦.	NOUN
easat-11010	65	51	•	•	NUM
easat-11010	66	1	𝑃(𝑦	𝑃(𝑦	X
easat-11010	66	2	∣	∣	PROPN
easat-11010	66	3	𝜃	𝜃	NOUN
easat-11010	66	4	)	)	PUNCT
easat-11010	66	5	is	be	AUX
easat-11010	66	6	the	the	DET
easat-11010	66	7	likelihood	likelihood	NOUN
easat-11010	66	8	of	of	ADP
easat-11010	66	9	the	the	DET
easat-11010	66	10	observed	observe	VERB
easat-11010	66	11	data	datum	NOUN
easat-11010	66	12	𝑦	𝑦	NOUN
easat-11010	66	13	given	give	VERB
easat-11010	66	14	the	the	DET
easat-11010	66	15	parameter	parameter	NOUN
easat-11010	66	16	𝜃.	𝜃.	NOUN
easat-11010	66	17	•	•	NOUN
easat-11010	66	18	𝑃(𝜃	𝑃(𝜃	NOUN
easat-11010	66	19	)	)	PUNCT
easat-11010	66	20	is	be	AUX
easat-11010	66	21	the	the	DET
easat-11010	66	22	prior	prior	ADJ
easat-11010	66	23	probability	probability	NOUN
easat-11010	66	24	of	of	ADP
easat-11010	66	25	the	the	DET
easat-11010	66	26	parameter	parameter	NOUN
easat-11010	66	27	𝜃.	𝜃.	NOUN
easat-11010	66	28	•	•	NUM
easat-11010	66	29	𝑃(𝑦	𝑃(𝑦	X
easat-11010	66	30	)	)	PUNCT
easat-11010	66	31	is	be	AUX
easat-11010	66	32	the	the	DET
easat-11010	66	33	marginal	marginal	ADJ
easat-11010	66	34	likelihood	likelihood	NOUN
easat-11010	66	35	or	or	CCONJ
easat-11010	66	36	evidence	evidence	NOUN
easat-11010	66	37	,	,	PUNCT
easat-11010	66	38	ensuring	ensure	VERB
easat-11010	66	39	that	that	SCONJ
easat-11010	66	40	the	the	DET
easat-11010	66	41	posterior	posterior	ADJ
easat-11010	66	42	probabilities	probability	NOUN
easat-11010	66	43	sum	sum	VERB
easat-11010	66	44	to	to	ADP
easat-11010	66	45	one	one	NUM
easat-11010	66	46	2.2	2.2	NUM
easat-11010	66	47	.	.	PUNCT
easat-11010	67	1	the	the	DET
easat-11010	67	2	kalman	kalman	PROPN
easat-11010	67	3	filter	filter	VERB
easat-11010	67	4	the	the	DET
easat-11010	67	5	kalman	kalman	PROPN
easat-11010	67	6	filter	filter	NOUN
easat-11010	67	7	is	be	AUX
easat-11010	67	8	an	an	DET
easat-11010	67	9	intricate	intricate	ADJ
easat-11010	67	10	computation	computation	NOUN
easat-11010	67	11	procedure	procedure	NOUN
easat-11010	67	12	employed	employ	VERB
easat-11010	67	13	in	in	ADP
easat-11010	67	14	estimating	estimate	VERB
easat-11010	67	15	the	the	DET
easat-11010	67	16	parameters	parameter	NOUN
easat-11010	67	17	of	of	ADP
easat-11010	67	18	a	a	DET
easat-11010	67	19	dynamic	dynamic	ADJ
easat-11010	67	20	linear	linear	NOUN
easat-11010	67	21	system	system	NOUN
easat-11010	67	22	through	through	ADP
easat-11010	67	23	the	the	DET
easat-11010	67	24	successive	successive	ADJ
easat-11010	67	25	acquisition	acquisition	NOUN
easat-11010	67	26	of	of	ADP
easat-11010	67	27	a	a	DET
easat-11010	67	28	set	set	NOUN
easat-11010	67	29	of	of	ADP
easat-11010	67	30	measurements	measurement	NOUN
easat-11010	67	31	,	,	PUNCT
easat-11010	67	32	which	which	PRON
easat-11010	67	33	may	may	AUX
easat-11010	67	34	be	be	AUX
easat-11010	67	35	affected	affect	VERB
easat-11010	67	36	by	by	ADP
easat-11010	67	37	some	some	DET
easat-11010	67	38	form	form	NOUN
easat-11010	67	39	of	of	ADP
easat-11010	67	40	noise	noise	NOUN
easat-11010	67	41	.	.	PUNCT
easat-11010	68	1	this	this	PRON
easat-11010	68	2	makes	make	VERB
easat-11010	68	3	it	it	PRON
easat-11010	68	4	particularly	particularly	ADV
easat-11010	68	5	attractive	attractive	ADJ
easat-11010	68	6	for	for	ADP
easat-11010	68	7	real	real	ADJ
easat-11010	68	8	-	-	PUNCT
easat-11010	68	9	time	time	NOUN
easat-11010	68	10	systems	system	NOUN
easat-11010	68	11	,	,	PUNCT
easat-11010	68	12	which	which	PRON
easat-11010	68	13	require	require	VERB
easat-11010	68	14	a	a	DET
easat-11010	68	15	constant	constant	ADJ
easat-11010	68	16	estimation	estimation	NOUN
easat-11010	68	17	of	of	ADP
easat-11010	68	18	the	the	DET
easat-11010	68	19	state	state	NOUN
easat-11010	68	20	.	.	PUNCT
easat-11010	69	1	in	in	ADP
easat-11010	69	2	the	the	DET
easat-11010	69	3	case	case	NOUN
easat-11010	69	4	of	of	ADP
easat-11010	69	5	electricity	electricity	NOUN
easat-11010	69	6	load	load	NOUN
easat-11010	69	7	forecasting	forecasting	NOUN
easat-11010	69	8	,	,	PUNCT
easat-11010	69	9	the	the	DET
easat-11010	69	10	kalman	kalman	PROPN
easat-11010	69	11	filter	filter	NOUN
easat-11010	69	12	with	with	ADP
easat-11010	69	13	a	a	DET
easat-11010	69	14	comprehensive	comprehensive	ADJ
easat-11010	69	15	model	model	NOUN
easat-11010	69	16	makes	make	VERB
easat-11010	69	17	for	for	ADP
easat-11010	69	18	a	a	DET
easat-11010	69	19	good	good	ADJ
easat-11010	69	20	arrangement	arrangement	NOUN
easat-11010	69	21	that	that	PRON
easat-11010	69	22	attempts	attempt	VERB
easat-11010	69	23	,	,	PUNCT
easat-11010	69	24	relying	rely	VERB
easat-11010	69	25	on	on	ADP
easat-11010	69	26	historical	historical	ADJ
easat-11010	69	27	records	record	NOUN
easat-11010	69	28	and	and	CCONJ
easat-11010	69	29	a	a	DET
easat-11010	69	30	handful	handful	NOUN
easat-11010	69	31	of	of	ADP
easat-11010	69	32	other	other	ADJ
easat-11010	69	33	variables	variable	NOUN
easat-11010	69	34	,	,	PUNCT
easat-11010	69	35	to	to	PART
easat-11010	69	36	compute	compute	VERB
easat-11010	69	37	the	the	DET
easat-11010	69	38	future	future	ADJ
easat-11010	69	39	demand	demand	NOUN
easat-11010	69	40	for	for	ADP
easat-11010	69	41	power	power	NOUN
easat-11010	69	42	.	.	PUNCT
easat-11010	70	1	this	this	DET
easat-11010	70	2	paper	paper	NOUN
easat-11010	70	3	presents	present	VERB
easat-11010	70	4	a	a	DET
easat-11010	70	5	brief	brief	ADJ
easat-11010	70	6	overview	overview	NOUN
easat-11010	70	7	of	of	ADP
easat-11010	70	8	the	the	DET
easat-11010	70	9	kalman	kalman	NOUN
easat-11010	70	10	filter	filter	NOUN
easat-11010	70	11	and	and	CCONJ
easat-11010	70	12	its	its	PRON
easat-11010	70	13	basic	basic	ADJ
easat-11010	70	14	mathematical	mathematical	ADJ
easat-11010	70	15	concepts	concept	NOUN
easat-11010	70	16	,	,	PUNCT
easat-11010	70	17	as	as	ADV
easat-11010	70	18	well	well	ADV
easat-11010	70	19	as	as	ADP
easat-11010	70	20	its	its	PRON
easat-11010	70	21	implementation	implementation	NOUN
easat-11010	70	22	in	in	ADP
easat-11010	70	23	load	load	NOUN
easat-11010	70	24	forecasting	forecasting	NOUN
easat-11010	70	25	of	of	ADP
easat-11010	70	26	electricity	electricity	NOUN
easat-11010	70	27	[	[	X
easat-11010	70	28	42	42	NUM
easat-11010	70	29	]	]	PUNCT
easat-11010	70	30	.	.	PUNCT
easat-11010	71	1	2.3	2.3	NUM
easat-11010	71	2	.	.	PUNCT
easat-11010	72	1	the	the	DET
easat-11010	72	2	auto	auto	NOUN
easat-11010	72	3	regressive	regressive	ADJ
easat-11010	72	4	model	model	NOUN
easat-11010	72	5	ar	ar	PROPN
easat-11010	72	6	(	(	PUNCT
easat-11010	72	7	1	1	NUM
easat-11010	72	8	):	):	PUNCT
easat-11010	72	9	time	time	NOUN
easat-11010	72	10	series	series	NOUN
easat-11010	72	11	analysis	analysis	NOUN
easat-11010	72	12	can	can	AUX
easat-11010	72	13	also	also	ADV
easat-11010	72	14	be	be	AUX
easat-11010	72	15	performed	perform	VERB
easat-11010	72	16	using	use	VERB
easat-11010	72	17	the	the	DET
easat-11010	72	18	ar(1	ar(1	PROPN
easat-11010	72	19	)	)	PUNCT
easat-11010	72	20	model	model	NOUN
easat-11010	72	21	,	,	PUNCT
easat-11010	72	22	which	which	PRON
easat-11010	72	23	is	be	AUX
easat-11010	72	24	both	both	PRON
easat-11010	72	25	simple	simple	ADJ
easat-11010	72	26	and	and	CCONJ
easat-11010	72	27	effective	effective	ADJ
easat-11010	72	28	in	in	ADP
easat-11010	72	29	associating	associate	VERB
easat-11010	72	30	an	an	DET
easat-11010	72	31	observation	observation	NOUN
easat-11010	72	32	with	with	ADP
easat-11010	72	33	its	its	PRON
easat-11010	72	34	preceding	precede	VERB
easat-11010	72	35	one	one	NUM
easat-11010	72	36	.	.	PUNCT
easat-11010	73	1	this	this	DET
easat-11010	73	2	relationship	relationship	NOUN
easat-11010	73	3	can	can	AUX
easat-11010	73	4	be	be	AUX
easat-11010	73	5	expressed	express	VERB
easat-11010	73	6	in	in	ADP
easat-11010	73	7	a	a	DET
easat-11010	73	8	mathematically	mathematically	ADV
easat-11010	73	9	straightforward	straightforward	ADJ
easat-11010	73	10	manner	manner	NOUN
easat-11010	73	11	,	,	PUNCT
easat-11010	73	12	as	as	ADP
easat-11010	73	13	yang	yang	PROPN
easat-11010	73	14	et	et	PROPN
easat-11010	73	15	al	al	PROPN
easat-11010	73	16	.	.	PUNCT
easat-11010	74	1	[	[	X
easat-11010	74	2	43	43	NUM
easat-11010	74	3	]	]	PUNCT
easat-11010	74	4	and	and	CCONJ
easat-11010	74	5	roy	roy	PROPN
easat-11010	74	6	and	and	CCONJ
easat-11010	74	7	karmakar	karmakar	VERB
easat-11010	74	8	[	[	X
easat-11010	74	9	44	44	NUM
easat-11010	74	10	]	]	PUNCT
easat-11010	74	11	.	.	PUNCT
easat-11010	75	1	2.4	2.4	NUM
easat-11010	75	2	.	.	PUNCT
easat-11010	76	1	markov	markov	NOUN
easat-11010	76	2	chain	chain	NOUN
easat-11010	76	3	monte	monte	PROPN
easat-11010	76	4	carlo	carlo	PROPN
easat-11010	76	5	(	(	PUNCT
easat-11010	76	6	mcmc	mcmc	PROPN
easat-11010	76	7	)	)	PUNCT
easat-11010	76	8	markov	markov	PROPN
easat-11010	76	9	chain	chain	NOUN
easat-11010	76	10	monte	monte	PROPN
easat-11010	76	11	carlo	carlo	PROPN
easat-11010	76	12	(	(	PUNCT
easat-11010	76	13	mcmc	mcmc	PROPN
easat-11010	76	14	)	)	PUNCT
easat-11010	76	15	methods	method	NOUN
easat-11010	76	16	are	be	AUX
easat-11010	76	17	a	a	DET
easat-11010	76	18	broad	broad	ADJ
easat-11010	76	19	category	category	NOUN
easat-11010	76	20	of	of	ADP
easat-11010	76	21	computational	computational	ADJ
easat-11010	76	22	approaches	approach	NOUN
easat-11010	76	23	used	use	VERB
easat-11010	76	24	to	to	PART
easat-11010	76	25	generate	generate	VERB
easat-11010	76	26	posterior	posterior	ADJ
easat-11010	76	27	samples	sample	NOUN
easat-11010	76	28	and	and	CCONJ
easat-11010	76	29	estimate	estimate	VERB
easat-11010	76	30	integrals	integral	NOUN
easat-11010	76	31	.	.	PUNCT
easat-11010	77	1	in	in	ADP
easat-11010	77	2	bayesian	bayesian	NOUN
easat-11010	77	3	analysis	analysis	NOUN
easat-11010	77	4	,	,	PUNCT
easat-11010	77	5	mcmc	mcmc	PROPN
easat-11010	77	6	methods	method	NOUN
easat-11010	77	7	are	be	AUX
easat-11010	77	8	frequently	frequently	ADV
easat-11010	77	9	employed	employ	VERB
easat-11010	77	10	to	to	PART
easat-11010	77	11	create	create	VERB
easat-11010	77	12	simulated	simulated	ADJ
easat-11010	77	13	samples	sample	NOUN
easat-11010	77	14	in	in	ADP
easat-11010	77	15	order	order	NOUN
easat-11010	77	16	to	to	PART
easat-11010	77	17	approximate	approximate	VERB
easat-11010	77	18	the	the	DET
easat-11010	77	19	posterior	posterior	ADJ
easat-11010	77	20	distribution	distribution	NOUN
easat-11010	77	21	.	.	PUNCT
easat-11010	78	1	for	for	ADP
easat-11010	78	2	generating	generate	VERB
easat-11010	78	3	posterior	posterior	ADJ
easat-11010	78	4	samples	sample	NOUN
easat-11010	78	5	,	,	PUNCT
easat-11010	78	6	the	the	DET
easat-11010	78	7	metropolis	metropolis	PROPN
easat-11010	78	8	-	-	PUNCT
easat-11010	78	9	hastings	hastings	PROPN
easat-11010	78	10	(	(	PUNCT
easat-11010	78	11	mh	mh	PROPN
easat-11010	78	12	)	)	PUNCT
easat-11010	78	13	algorithm	algorithm	NOUN
easat-11010	78	14	is	be	AUX
easat-11010	78	15	a	a	DET
easat-11010	78	16	popular	popular	ADJ
easat-11010	78	17	principle	principle	NOUN
easat-11010	78	18	in	in	ADP
easat-11010	78	19	bayesian	bayesian	NOUN
easat-11010	78	20	analysis	analysis	NOUN
easat-11010	78	21	according	accord	VERB
easat-11010	78	22	to	to	ADP
easat-11010	78	23	khidir	khidir	PROPN
easat-11010	78	24	et	et	PROPN
easat-11010	78	25	al	al	PROPN
easat-11010	78	26	.	.	PUNCT
easat-11010	79	1	[	[	X
easat-11010	79	2	45	45	NUM
easat-11010	79	3	]	]	PUNCT
easat-11010	79	4	.	.	PUNCT
easat-11010	80	1	842	842	NUM
easat-11010	80	2	edelweiss	edelweiss	PROPN
easat-11010	80	3	applied	apply	VERB
easat-11010	80	4	science	science	NOUN
easat-11010	80	5	and	and	CCONJ
easat-11010	80	6	technology	technology	NOUN
easat-11010	80	7	issn	issn	PROPN
easat-11010	80	8	:	:	PUNCT
easat-11010	80	9	2576	2576	NUM
easat-11010	80	10	-	-	SYM
easat-11010	80	11	8484	8484	NUM
easat-11010	80	12	vol	vol	NOUN
easat-11010	80	13	.	.	PROPN
easat-11010	81	1	9	9	NUM
easat-11010	81	2	,	,	PUNCT
easat-11010	81	3	no	no	INTJ
easat-11010	81	4	.	.	NOUN
easat-11010	81	5	11	11	NUM
easat-11010	81	6	:	:	PUNCT
easat-11010	81	7	839	839	NUM
easat-11010	81	8	-	-	NUM
easat-11010	81	9	852	852	NUM
easat-11010	81	10	,	,	PUNCT
easat-11010	81	11	2025	2025	NUM
easat-11010	81	12	doi	doi	NOUN
easat-11010	81	13	:	:	PUNCT
easat-11010	81	14	10.55214/2576	10.55214/2576	NUM
easat-11010	81	15	-	-	SYM
easat-11010	81	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	81	17	©	©	ADP
easat-11010	81	18	2025	2025	NUM
easat-11010	81	19	by	by	ADP
easat-11010	81	20	the	the	DET
easat-11010	81	21	authors	author	NOUN
easat-11010	81	22	;	;	PUNCT
easat-11010	81	23	licensee	licensee	PROPN
easat-11010	81	24	learning	learning	NOUN
easat-11010	81	25	gate	gate	NOUN
easat-11010	81	26	3	3	NUM
easat-11010	81	27	.	.	PUNCT
easat-11010	81	28	methodology	methodology	NOUN
easat-11010	81	29	this	this	DET
easat-11010	81	30	study	study	NOUN
easat-11010	81	31	utilized	utilize	VERB
easat-11010	81	32	the	the	DET
easat-11010	81	33	recorded	record	VERB
easat-11010	81	34	dataset	dataset	NOUN
easat-11010	81	35	on	on	ADP
easat-11010	81	36	electricity	electricity	NOUN
easat-11010	81	37	load	load	NOUN
easat-11010	81	38	for	for	ADP
easat-11010	81	39	2024	2024	NUM
easat-11010	81	40	,	,	PUNCT
easat-11010	81	41	provided	provide	VERB
easat-11010	81	42	by	by	ADP
easat-11010	81	43	the	the	DET
easat-11010	81	44	erbil	erbil	PROPN
easat-11010	81	45	electricity	electricity	NOUN
easat-11010	81	46	control	control	NOUN
easat-11010	81	47	directorate	directorate	NOUN
easat-11010	81	48	.	.	PUNCT
easat-11010	82	1	the	the	DET
easat-11010	82	2	dataset	dataset	NOUN
easat-11010	82	3	consists	consist	VERB
easat-11010	82	4	of	of	ADP
easat-11010	82	5	8,760	8,760	NUM
easat-11010	82	6	observations	observation	NOUN
easat-11010	82	7	,	,	PUNCT
easat-11010	82	8	with	with	ADP
easat-11010	82	9	each	each	DET
easat-11010	82	10	observation	observation	NOUN
easat-11010	82	11	representing	represent	VERB
easat-11010	82	12	the	the	DET
easat-11010	82	13	daily	daily	ADJ
easat-11010	82	14	electricity	electricity	NOUN
easat-11010	82	15	load	load	NOUN
easat-11010	82	16	in	in	ADP
easat-11010	82	17	erbil	erbil	PROPN
easat-11010	82	18	,	,	PUNCT
easat-11010	82	19	the	the	DET
easat-11010	82	20	capital	capital	NOUN
easat-11010	82	21	of	of	ADP
easat-11010	82	22	the	the	DET
easat-11010	82	23	kurdistan	kurdistan	PROPN
easat-11010	82	24	region	region	NOUN
easat-11010	82	25	of	of	ADP
easat-11010	82	26	iraq	iraq	PROPN
easat-11010	82	27	.	.	PUNCT
easat-11010	83	1	before	before	ADP
easat-11010	83	2	training	train	VERB
easat-11010	83	3	the	the	DET
easat-11010	83	4	model	model	NOUN
easat-11010	83	5	,	,	PUNCT
easat-11010	83	6	several	several	ADJ
easat-11010	83	7	preprocessing	preprocessing	NOUN
easat-11010	83	8	steps	step	NOUN
easat-11010	83	9	were	be	AUX
easat-11010	83	10	carried	carry	VERB
easat-11010	83	11	out	out	ADP
easat-11010	83	12	on	on	ADP
easat-11010	83	13	the	the	DET
easat-11010	83	14	dataset	dataset	NOUN
easat-11010	83	15	.	.	PUNCT
easat-11010	84	1	first	first	ADV
easat-11010	84	2	,	,	PUNCT
easat-11010	84	3	an	an	DET
easat-11010	84	4	inspection	inspection	NOUN
easat-11010	84	5	for	for	ADP
easat-11010	84	6	missing	miss	VERB
easat-11010	84	7	values	value	NOUN
easat-11010	84	8	indicated	indicate	VERB
easat-11010	84	9	that	that	SCONJ
easat-11010	84	10	none	none	NOUN
easat-11010	84	11	were	be	AUX
easat-11010	84	12	present	present	ADJ
easat-11010	84	13	.	.	PUNCT
easat-11010	85	1	additionally	additionally	ADV
easat-11010	85	2	,	,	PUNCT
easat-11010	85	3	the	the	DET
easat-11010	85	4	original	original	ADJ
easat-11010	85	5	dataset	dataset	NOUN
easat-11010	85	6	was	be	AUX
easat-11010	85	7	not	not	PART
easat-11010	85	8	stationary	stationary	ADJ
easat-11010	85	9	,	,	PUNCT
easat-11010	85	10	so	so	SCONJ
easat-11010	85	11	a	a	DET
easat-11010	85	12	first	first	ADJ
easat-11010	85	13	-	-	PUNCT
easat-11010	85	14	difference	difference	NOUN
easat-11010	85	15	transformation	transformation	NOUN
easat-11010	85	16	was	be	AUX
easat-11010	85	17	applied	apply	VERB
easat-11010	85	18	to	to	PART
easat-11010	85	19	achieve	achieve	VERB
easat-11010	85	20	stationarity	stationarity	NOUN
easat-11010	85	21	.	.	PROPN
easat-11010	86	1	3.1	3.1	NUM
easat-11010	86	2	.	.	PUNCT
easat-11010	87	1	bayesian	bayesian	NOUN
easat-11010	87	2	hybrid	hybrid	ADJ
easat-11010	87	3	ar	ar	PROPN
easat-11010	87	4	-	-	PROPN
easat-11010	87	5	kalman	kalman	NOUN
easat-11010	87	6	filter	filter	NOUN
easat-11010	87	7	model	model	NOUN
easat-11010	87	8	3.1.1	3.1.1	NUM
easat-11010	87	9	.	.	PUNCT
easat-11010	88	1	state	state	NOUN
easat-11010	88	2	and	and	CCONJ
easat-11010	88	3	observation	observation	NOUN
easat-11010	88	4	models	model	NOUN
easat-11010	88	5	using	use	VERB
easat-11010	88	6	kalman	kalman	PROPN
easat-11010	88	7	filter	filter	NOUN
easat-11010	88	8	methodology	methodology	NOUN
easat-11010	88	9	,	,	PUNCT
easat-11010	88	10	the	the	DET
easat-11010	88	11	state	state	NOUN
easat-11010	88	12	of	of	ADP
easat-11010	88	13	the	the	DET
easat-11010	88	14	system	system	NOUN
easat-11010	88	15	vector	vector	NOUN
easat-11010	88	16	is	be	AUX
easat-11010	88	17	defined	define	VERB
easat-11010	88	18	as	as	ADP
easat-11010	88	19	the	the	DET
easat-11010	88	20	electricity	electricity	NOUN
easat-11010	88	21	load	load	NOUN
easat-11010	88	22	at	at	ADP
easat-11010	88	23	time	time	NOUN
easat-11010	88	24	t	t	PROPN
easat-11010	88	25	,	,	PUNCT
easat-11010	88	26	and	and	CCONJ
easat-11010	88	27	the	the	DET
easat-11010	88	28	measurement	measurement	NOUN
easat-11010	88	29	model	model	NOUN
easat-11010	88	30	describes	describe	VERB
easat-11010	88	31	how	how	SCONJ
easat-11010	88	32	this	this	DET
easat-11010	88	33	state	state	NOUN
easat-11010	88	34	,	,	PUNCT
easat-11010	88	35	the	the	DET
easat-11010	88	36	so	so	ADV
easat-11010	88	37	-	-	PUNCT
easat-11010	88	38	called	call	VERB
easat-11010	88	39	system	system	NOUN
easat-11010	88	40	state	state	NOUN
easat-11010	88	41	,	,	PUNCT
easat-11010	88	42	relates	relate	VERB
easat-11010	88	43	to	to	ADP
easat-11010	88	44	the	the	DET
easat-11010	88	45	measurements	measurement	NOUN
easat-11010	88	46	[	[	X
easat-11010	88	47	46	46	NUM
easat-11010	88	48	]	]	PUNCT
easat-11010	88	49	.	.	PUNCT
easat-11010	89	1	the	the	DET
easat-11010	89	2	state	state	NOUN
easat-11010	89	3	transition	transition	NOUN
easat-11010	89	4	equation	equation	NOUN
easat-11010	89	5	for	for	ADP
easat-11010	89	6	load	load	NOUN
easat-11010	89	7	forecasting	forecasting	NOUN
easat-11010	89	8	can	can	AUX
easat-11010	89	9	be	be	AUX
easat-11010	89	10	written	write	VERB
easat-11010	89	11	as	as	ADP
easat-11010	89	12	𝑋𝑡	𝑋𝑡	PROPN
easat-11010	89	13	=	=	PUNCT
easat-11010	89	14	𝐹𝑡𝑋𝑡−1	𝐹𝑡𝑋𝑡−1	PROPN
easat-11010	89	15	+	+	CCONJ
easat-11010	89	16	𝑊𝑡	𝑊𝑡	PROPN
easat-11010	89	17	(	(	PUNCT
easat-11010	89	18	2	2	NUM
easat-11010	89	19	)	)	PUNCT
easat-11010	89	20	where	where	SCONJ
easat-11010	89	21	𝑋𝑡	𝑋𝑡	PROPN
easat-11010	89	22	is	be	AUX
easat-11010	89	23	the	the	DET
easat-11010	89	24	current	current	ADJ
easat-11010	89	25	state	state	NOUN
easat-11010	89	26	,	,	PUNCT
easat-11010	89	27	𝐹𝑡	𝐹𝑡	PROPN
easat-11010	89	28	is	be	AUX
easat-11010	89	29	the	the	DET
easat-11010	89	30	transition	transition	NOUN
easat-11010	89	31	matrix	matrix	NOUN
easat-11010	89	32	and	and	CCONJ
easat-11010	89	33	𝑊𝑡	𝑊𝑡	PROPN
easat-11010	89	34	is	be	AUX
easat-11010	89	35	the	the	DET
easat-11010	89	36	process	process	NOUN
easat-11010	89	37	noise	noise	NOUN
easat-11010	89	38	with	with	ADP
easat-11010	89	39	covariance	covariance	NOUN
easat-11010	89	40	𝑄𝑡	𝑄𝑡	PROPN
easat-11010	89	41	i.e.	i.e.	X
easat-11010	89	42	,	,	PUNCT
easat-11010	89	43	𝑊𝑡~𝑁(0	𝑊𝑡~𝑁(0	PROPN
easat-11010	89	44	,	,	PUNCT
easat-11010	89	45	𝑄𝑡	𝑄𝑡	PROPN
easat-11010	89	46	)	)	PUNCT
easat-11010	89	47	.	.	PUNCT
easat-11010	90	1	the	the	DET
easat-11010	90	2	predicted	predict	VERB
easat-11010	90	3	load	load	NOUN
easat-11010	90	4	to	to	ADP
easat-11010	90	5	the	the	DET
easat-11010	90	6	actual	actual	ADJ
easat-11010	90	7	measurements	measurement	NOUN
easat-11010	90	8	to	to	ADP
easat-11010	90	9	the	the	DET
easat-11010	90	10	observation	observation	NOUN
easat-11010	90	11	model	model	NOUN
easat-11010	90	12	is	be	AUX
easat-11010	90	13	:	:	PUNCT
easat-11010	90	14	𝑍𝑡	𝑍𝑡	PROPN
easat-11010	90	15	=	=	SYM
easat-11010	90	16	𝐻𝑡𝑋𝑡	𝐻𝑡𝑋𝑡	PROPN
easat-11010	90	17	+	+	CCONJ
easat-11010	90	18	𝑉𝑡	𝑉𝑡	PROPN
easat-11010	90	19	(	(	PUNCT
easat-11010	90	20	3	3	NUM
easat-11010	90	21	)	)	PUNCT
easat-11010	90	22	where	where	SCONJ
easat-11010	90	23	𝑍𝑡	𝑍𝑡	PRON
easat-11010	90	24	are	be	AUX
easat-11010	90	25	the	the	DET
easat-11010	90	26	measurements	measurement	NOUN
easat-11010	90	27	of	of	ADP
easat-11010	90	28	the	the	DET
easat-11010	90	29	true	true	ADJ
easat-11010	90	30	state	state	NOUN
easat-11010	90	31	𝑋𝑡	𝑋𝑡	PROPN
easat-11010	90	32	,	,	PUNCT
easat-11010	90	33	𝐻𝑡	𝐻𝑡	PROPN
easat-11010	90	34	is	be	AUX
easat-11010	90	35	the	the	DET
easat-11010	90	36	measurement	measurement	NOUN
easat-11010	90	37	function	function	NOUN
easat-11010	90	38	or	or	CCONJ
easat-11010	90	39	(	(	PUNCT
easat-11010	90	40	matrix	matrix	NOUN
easat-11010	90	41	)	)	PUNCT
easat-11010	90	42	and	and	CCONJ
easat-11010	90	43	𝑉𝑡	𝑉𝑡	PROPN
easat-11010	90	44	is	be	AUX
easat-11010	90	45	the	the	DET
easat-11010	90	46	measurement	measurement	NOUN
easat-11010	90	47	noise	noise	NOUN
easat-11010	90	48	with	with	ADP
easat-11010	90	49	covariance	covariance	NOUN
easat-11010	90	50	𝑅𝑡	𝑅𝑡	PROPN
easat-11010	90	51	i.e.	i.e.	X
easat-11010	90	52	,	,	PUNCT
easat-11010	90	53	𝑉𝑡~𝑁(0	𝑉𝑡~𝑁(0	PROPN
easat-11010	90	54	,	,	PUNCT
easat-11010	90	55	𝑅𝑡	𝑅𝑡	NOUN
easat-11010	90	56	)	)	PUNCT
easat-11010	90	57	3.1.2	3.1.2	NUM
easat-11010	90	58	.	.	PUNCT
easat-11010	91	1	integration	integration	NOUN
easat-11010	91	2	of	of	ADP
easat-11010	91	3	auto	auto	NOUN
easat-11010	91	4	regressive	regressive	ADJ
easat-11010	91	5	with	with	ADP
easat-11010	91	6	kalman	kalman	PROPN
easat-11010	91	7	filtering	filtering	PROPN
easat-11010	91	8	algorithm	algorithm	PROPN
easat-11010	91	9	:	:	PUNCT
easat-11010	91	10	ar	ar	NOUN
easat-11010	91	11	(	(	PUNCT
easat-11010	91	12	1	1	X
easat-11010	91	13	)	)	PUNCT
easat-11010	91	14	can	can	AUX
easat-11010	91	15	be	be	AUX
easat-11010	91	16	expressed	express	VERB
easat-11010	91	17	mathematically	mathematically	ADV
easat-11010	91	18	as	as	ADP
easat-11010	91	19	below	below	ADV
easat-11010	91	20	:	:	PUNCT
easat-11010	91	21	𝑍𝑡	𝑍𝑡	PROPN
easat-11010	91	22	=	=	PUNCT
easat-11010	91	23	𝜙𝑋𝑡−1	𝜙𝑋𝑡−1	NOUN
easat-11010	91	24	+	+	X
easat-11010	91	25	𝜖𝑡	𝜖𝑡	PROPN
easat-11010	91	26	(	(	PUNCT
easat-11010	91	27	4	4	NUM
easat-11010	91	28	)	)	PUNCT
easat-11010	92	1	𝑍𝑡	𝑍𝑡	NOUN
easat-11010	92	2	is	be	AUX
easat-11010	92	3	the	the	DET
easat-11010	92	4	load	load	NOUN
easat-11010	92	5	value	value	NOUN
easat-11010	92	6	at	at	ADP
easat-11010	92	7	t.	t.	PROPN
easat-11010	92	8	𝜙	𝜙	PROPN
easat-11010	92	9	is	be	AUX
easat-11010	92	10	the	the	DET
easat-11010	92	11	ar	ar	PROPN
easat-11010	92	12	coefficient	coefficient	NOUN
easat-11010	92	13	.	.	PUNCT
easat-11010	93	1	𝜖𝑡	𝜖𝑡	PROPN
easat-11010	93	2	is	be	AUX
easat-11010	93	3	white	white	ADJ
easat-11010	93	4	noise	noise	NOUN
easat-11010	93	5	distributed	distribute	VERB
easat-11010	93	6	with	with	ADP
easat-11010	93	7	(	(	PUNCT
easat-11010	93	8	mean=	mean=	NUM
easat-11010	93	9	0	0	NUM
easat-11010	93	10	and	and	CCONJ
easat-11010	93	11	variance=	variance=	NUM
easat-11010	93	12	𝜎𝜖	𝜎𝜖	NUM
easat-11010	93	13	2	2	NUM
easat-11010	93	14	in	in	ADP
easat-11010	93	15	order	order	NOUN
easat-11010	93	16	to	to	PART
easat-11010	93	17	introduce	introduce	VERB
easat-11010	93	18	the	the	DET
easat-11010	93	19	ar	ar	NOUN
easat-11010	93	20	model	model	NOUN
easat-11010	93	21	in	in	ADP
easat-11010	93	22	the	the	DET
easat-11010	93	23	framework	framework	NOUN
easat-11010	93	24	of	of	ADP
easat-11010	93	25	the	the	DET
easat-11010	93	26	kalman	kalman	PROPN
easat-11010	93	27	filter	filter	PROPN
easat-11010	93	28	,	,	PUNCT
easat-11010	93	29	we	we	PRON
easat-11010	93	30	consider	consider	VERB
easat-11010	93	31	ar	ar	NOUN
easat-11010	93	32	coefficients	coefficient	NOUN
easat-11010	93	33	to	to	PART
easat-11010	93	34	be	be	AUX
easat-11010	93	35	the	the	DET
easat-11010	93	36	state	state	NOUN
easat-11010	93	37	variables	variable	NOUN
easat-11010	93	38	.	.	PUNCT
easat-11010	94	1	definition	definition	NOUN
easat-11010	94	2	of	of	ADP
easat-11010	94	3	a	a	DET
easat-11010	94	4	state	state	NOUN
easat-11010	94	5	vector	vector	NOUN
easat-11010	94	6	[	[	X
easat-11010	94	7	47	47	NUM
easat-11010	94	8	]	]	PUNCT
easat-11010	94	9	.	.	PUNCT
easat-11010	95	1	𝐹	𝐹	PROPN
easat-11010	96	1	=	=	PRON
easat-11010	97	1	[	[	PUNCT
easat-11010	97	2	𝝓𝒊	𝝓𝒊	NOUN
easat-11010	97	3	1	1	NUM
easat-11010	97	4	]	]	PUNCT
easat-11010	97	5	3.1.3	3.1.3	NUM
easat-11010	97	6	.	.	PUNCT
easat-11010	97	7	prediction	prediction	NOUN
easat-11010	97	8	step	step	NOUN
easat-11010	97	9	(	(	PUNCT
easat-11010	97	10	state	state	NOUN
easat-11010	97	11	and	and	CCONJ
easat-11010	97	12	covariance	covariance	NOUN
easat-11010	97	13	)	)	PUNCT
easat-11010	97	14	state	state	NOUN
easat-11010	97	15	prediction	prediction	NOUN
easat-11010	97	16	:	:	PUNCT
easat-11010	97	17	�	�	PROPN
easat-11010	97	18	̂	̂	NOUN
easat-11010	97	19	�	�	NOUN
easat-11010	97	20	𝑡|𝑡−1	𝑡|𝑡−1	NOUN
easat-11010	97	21	=	=	PUNCT
easat-11010	97	22	𝜙𝑖	𝜙𝑖	PRON
easat-11010	97	23	�	�	PROPN
easat-11010	97	24	̂	̂	NUM
easat-11010	97	25	�	�	NOUN
easat-11010	97	26	𝑡−1|𝑡−1	𝑡−1|𝑡−1	X
easat-11010	97	27	(	(	PUNCT
easat-11010	97	28	5	5	NUM
easat-11010	97	29	)	)	PUNCT
easat-11010	97	30	here	here	ADV
easat-11010	97	31	,	,	PUNCT
easat-11010	97	32	𝜙𝑖	𝜙𝑖	VERB
easat-11010	97	33	is	be	AUX
easat-11010	97	34	the	the	DET
easat-11010	97	35	sample	sample	NOUN
easat-11010	97	36	from	from	ADP
easat-11010	97	37	the	the	DET
easat-11010	97	38	posterior	posterior	ADJ
easat-11010	97	39	distribution	distribution	NOUN
easat-11010	97	40	of	of	ADP
easat-11010	97	41	𝜙𝑖.	𝜙𝑖.	ADJ
easat-11010	97	42	•	•	NUM
easat-11010	97	43	covariance	covariance	NOUN
easat-11010	97	44	prediction	prediction	NOUN
easat-11010	97	45	similarly	similarly	ADV
easat-11010	97	46	,	,	PUNCT
easat-11010	97	47	the	the	DET
easat-11010	97	48	covariance	covariance	NOUN
easat-11010	97	49	prediction	prediction	NOUN
easat-11010	97	50	depends	depend	VERB
easat-11010	97	51	on	on	ADP
easat-11010	97	52	𝜙𝑖	𝜙𝑖	NOUN
easat-11010	97	53	(	(	PUNCT
easat-11010	97	54	from	from	ADP
easat-11010	97	55	the	the	DET
easat-11010	97	56	posterior	posterior	NOUN
easat-11010	97	57	)	)	PUNCT
easat-11010	97	58	and	and	CCONJ
easat-11010	97	59	the	the	DET
easat-11010	97	60	process	process	NOUN
easat-11010	97	61	noise	noise	VERB
easat-11010	97	62	𝑄	𝑄	PRON
easat-11010	97	63	:	:	PUNCT
easat-11010	97	64	�	�	PROPN
easat-11010	97	65	̂	̂	NOUN
easat-11010	97	66	�	�	NOUN
easat-11010	97	67	𝑡|𝑡−1	𝑡|𝑡−1	NOUN
easat-11010	97	68	=	=	PUNCT
easat-11010	97	69	𝜙𝑖	𝜙𝑖	PART
easat-11010	97	70	2	2	NUM
easat-11010	97	71	�	�	PROPN
easat-11010	97	72	̂	̂	NUM
easat-11010	97	73	�	�	NOUN
easat-11010	98	1	𝑡−1|𝑡−1	𝑡−1|𝑡−1	VERB
easat-11010	98	2	+	+	X
easat-11010	98	3	𝑄	𝑄	PROPN
easat-11010	98	4	(	(	PUNCT
easat-11010	98	5	6	6	NUM
easat-11010	98	6	)	)	PUNCT
easat-11010	98	7	where	where	SCONJ
easat-11010	98	8	𝑄	𝑄	PRON
easat-11010	98	9	is	be	AUX
easat-11010	98	10	the	the	DET
easat-11010	98	11	process	process	NOUN
easat-11010	98	12	noise	noise	NOUN
easat-11010	98	13	,	,	PUNCT
easat-11010	98	14	and	and	CCONJ
easat-11010	98	15	𝜙𝑖	𝜙𝑖	NOUN
easat-11010	98	16	is	be	AUX
easat-11010	98	17	sampled	sample	VERB
easat-11010	98	18	from	from	ADP
easat-11010	98	19	the	the	DET
easat-11010	98	20	posterior	posterior	ADJ
easat-11010	98	21	distribution	distribution	NOUN
easat-11010	98	22	.	.	PUNCT
easat-11010	99	1	•	•	NUM
easat-11010	99	2	update	update	NOUN
easat-11010	99	3	step	step	NOUN
easat-11010	99	4	(	(	PUNCT
easat-11010	99	5	state	state	NOUN
easat-11010	99	6	and	and	CCONJ
easat-11010	99	7	covariance	covariance	NOUN
easat-11010	99	8	)	)	PUNCT
easat-11010	99	9	•	•	NOUN
easat-11010	99	10	kalman	kalman	NOUN
easat-11010	99	11	gain	gain	NOUN
easat-11010	99	12	:	:	PUNCT
easat-11010	99	13	the	the	DET
easat-11010	99	14	kalman	kalman	NOUN
easat-11010	99	15	gain	gain	VERB
easat-11010	99	16	𝐾𝑡	𝐾𝑡	PRON
easat-11010	99	17	is	be	AUX
easat-11010	99	18	computed	compute	VERB
easat-11010	99	19	based	base	VERB
easat-11010	99	20	on	on	ADP
easat-11010	99	21	the	the	DET
easat-11010	99	22	predicted	predict	VERB
easat-11010	99	23	covariance	covariance	NOUN
easat-11010	99	24	and	and	CCONJ
easat-11010	99	25	the	the	DET
easat-11010	99	26	measurement	measurement	NOUN
easat-11010	99	27	noise	noise	NOUN
easat-11010	99	28	covariance	covariance	PROPN
easat-11010	99	29	𝑅	𝑅	PROPN
easat-11010	99	30	,	,	PUNCT
easat-11010	99	31	as	as	ADV
easat-11010	99	32	usual	usual	ADJ
easat-11010	99	33	:	:	PUNCT
easat-11010	99	34	843	843	NUM
easat-11010	99	35	edelweiss	edelweiss	PROPN
easat-11010	99	36	applied	apply	VERB
easat-11010	99	37	science	science	NOUN
easat-11010	99	38	and	and	CCONJ
easat-11010	99	39	technology	technology	NOUN
easat-11010	99	40	issn	issn	PROPN
easat-11010	99	41	:	:	PUNCT
easat-11010	99	42	2576	2576	NUM
easat-11010	99	43	-	-	SYM
easat-11010	99	44	8484	8484	NUM
easat-11010	99	45	vol	vol	NOUN
easat-11010	99	46	.	.	PROPN
easat-11010	100	1	9	9	NUM
easat-11010	100	2	,	,	PUNCT
easat-11010	100	3	no	no	INTJ
easat-11010	100	4	.	.	NOUN
easat-11010	100	5	11	11	NUM
easat-11010	100	6	:	:	PUNCT
easat-11010	100	7	839	839	NUM
easat-11010	100	8	-	-	NUM
easat-11010	100	9	852	852	NUM
easat-11010	100	10	,	,	PUNCT
easat-11010	100	11	2025	2025	NUM
easat-11010	100	12	doi	doi	NOUN
easat-11010	100	13	:	:	PUNCT
easat-11010	100	14	10.55214/2576	10.55214/2576	NUM
easat-11010	100	15	-	-	SYM
easat-11010	100	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	100	17	©	©	ADP
easat-11010	100	18	2025	2025	NUM
easat-11010	100	19	by	by	ADP
easat-11010	100	20	the	the	DET
easat-11010	100	21	authors	author	NOUN
easat-11010	100	22	;	;	PUNCT
easat-11010	100	23	licensee	licensee	NOUN
easat-11010	100	24	learning	learning	NOUN
easat-11010	100	25	gate	gate	NOUN
easat-11010	100	26	𝐾𝑡	𝐾𝑡	PROPN
easat-11010	100	27	=	=	SYM
easat-11010	100	28	�	�	PROPN
easat-11010	100	29	̂	̂	PROPN
easat-11010	100	30	�	�	PROPN
easat-11010	100	31	𝑡|𝑡−1	𝑡|𝑡−1	PROPN
easat-11010	100	32	�	�	PROPN
easat-11010	100	33	̂	̂	VERB
easat-11010	100	34	�	�	PROPN
easat-11010	100	35	𝑡|𝑡−1	𝑡|𝑡−1	VERB
easat-11010	100	36	+	+	PROPN
easat-11010	100	37	𝑅	𝑅	PROPN
easat-11010	100	38	(	(	PUNCT
easat-11010	100	39	7	7	NUM
easat-11010	100	40	)	)	PUNCT
easat-11010	100	41	•	•	NOUN
easat-11010	100	42	state	state	NOUN
easat-11010	100	43	update	update	NOUN
easat-11010	100	44	the	the	DET
easat-11010	100	45	state	state	NOUN
easat-11010	100	46	estimate	estimate	NOUN
easat-11010	100	47	�	�	NOUN
easat-11010	100	48	̂	̂	VERB
easat-11010	100	49	�	�	NOUN
easat-11010	100	50	𝑡|𝑡−1	𝑡|𝑡−1	PROPN
easat-11010	100	51	is	be	AUX
easat-11010	100	52	updated	update	VERB
easat-11010	100	53	based	base	VERB
easat-11010	100	54	on	on	ADP
easat-11010	100	55	the	the	DET
easat-11010	100	56	predicted	predict	VERB
easat-11010	100	57	state	state	NOUN
easat-11010	100	58	and	and	CCONJ
easat-11010	100	59	the	the	DET
easat-11010	100	60	observation	observation	NOUN
easat-11010	100	61	data	datum	NOUN
easat-11010	100	62	𝑍𝑡	𝑍𝑡	PROPN
easat-11010	100	63	�	�	PROPN
easat-11010	100	64	̂	̂	NOUN
easat-11010	100	65	�	�	PROPN
easat-11010	100	66	𝑡|𝑡−1	𝑡|𝑡−1	NOUN
easat-11010	100	67	=	=	SYM
easat-11010	100	68	�	�	PROPN
easat-11010	100	69	̂	̂	NOUN
easat-11010	100	70	�	�	NOUN
easat-11010	100	71	𝑡|𝑡−1	𝑡|𝑡−1	VERB
easat-11010	100	72	+	+	NUM
easat-11010	100	73	𝐾𝑡(𝑍𝑡	𝐾𝑡(𝑍𝑡	ADP
easat-11010	100	74	−	−	PROPN
easat-11010	100	75	�	�	PROPN
easat-11010	100	76	̂	̂	NOUN
easat-11010	100	77	�	�	NOUN
easat-11010	100	78	𝑡|𝑡−1	𝑡|𝑡−1	NOUN
easat-11010	100	79	)	)	PUNCT
easat-11010	100	80	(	(	PUNCT
easat-11010	100	81	8)	8)	NUM
easat-11010	100	82	•	•	NUM
easat-11010	100	83	covariance	covariance	NOUN
easat-11010	100	84	update	update	NOUN
easat-11010	100	85	:	:	PUNCT
easat-11010	100	86	the	the	DET
easat-11010	100	87	covariance	covariance	NOUN
easat-11010	100	88	estimate	estimate	NOUN
easat-11010	100	89	is	be	AUX
easat-11010	100	90	updated	update	VERB
easat-11010	100	91	as	as	SCONJ
easat-11010	100	92	follows	follow	VERB
easat-11010	100	93	:	:	PUNCT
easat-11010	100	94	�	�	PROPN
easat-11010	100	95	̂	̂	NOUN
easat-11010	100	96	�	�	NOUN
easat-11010	100	97	𝑡|𝑡	𝑡|𝑡	VERB
easat-11010	100	98	=	=	SYM
easat-11010	100	99	(	(	PUNCT
easat-11010	100	100	1	1	NUM
easat-11010	100	101	−	−	PROPN
easat-11010	100	102	𝐾𝑡)	𝐾𝑡)	NOUN
easat-11010	100	103	�	�	NOUN
easat-11010	100	104	̂	̂	SYM
easat-11010	100	105	�	�	NOUN
easat-11010	100	106	𝑡|𝑡−1	𝑡|𝑡−1	NOUN
easat-11010	100	107	(	(	PUNCT
easat-11010	100	108	9	9	NUM
easat-11010	100	109	)	)	PUNCT
easat-11010	100	110	3.2	3.2	NUM
easat-11010	100	111	.	.	PUNCT
easat-11010	101	1	model	model	NOUN
easat-11010	101	2	implementation	implementation	NOUN
easat-11010	101	3	and	and	CCONJ
easat-11010	101	4	parameter	parameter	NOUN
easat-11010	101	5	tuning	tune	VERB
easat-11010	101	6	the	the	DET
easat-11010	101	7	suggested	suggest	VERB
easat-11010	101	8	technique	technique	NOUN
easat-11010	101	9	offers	offer	VERB
easat-11010	101	10	a	a	DET
easat-11010	101	11	reliable	reliable	ADJ
easat-11010	101	12	way	way	NOUN
easat-11010	101	13	to	to	PART
easat-11010	101	14	analyze	analyze	VERB
easat-11010	101	15	dynamic	dynamic	ADJ
easat-11010	101	16	time	time	NOUN
easat-11010	101	17	series	series	PROPN
easat-11010	101	18	data	datum	NOUN
easat-11010	101	19	by	by	ADP
easat-11010	101	20	combining	combine	VERB
easat-11010	101	21	the	the	DET
easat-11010	101	22	estimation	estimation	NOUN
easat-11010	101	23	of	of	ADP
easat-11010	101	24	the	the	DET
easat-11010	101	25	ar	ar	PROPN
easat-11010	101	26	(	(	PUNCT
easat-11010	101	27	1	1	NUM
easat-11010	101	28	)	)	PUNCT
easat-11010	101	29	parameter	parameter	NOUN
easat-11010	101	30	using	use	VERB
easat-11010	101	31	mcmc	mcmc	PROPN
easat-11010	101	32	with	with	ADP
easat-11010	101	33	its	its	PRON
easat-11010	101	34	integration	integration	NOUN
easat-11010	101	35	into	into	ADP
easat-11010	101	36	the	the	DET
easat-11010	101	37	kalman	kalman	NOUN
easat-11010	101	38	filter	filter	NOUN
easat-11010	101	39	architecture	architecture	NOUN
easat-11010	101	40	.	.	PUNCT
easat-11010	102	1	an	an	DET
easat-11010	102	2	accurate	accurate	ADJ
easat-11010	102	3	ar	ar	NOUN
easat-11010	102	4	(	(	PUNCT
easat-11010	102	5	1	1	NUM
easat-11010	102	6	)	)	PUNCT
easat-11010	102	7	parameter	parameter	NOUN
easat-11010	102	8	(	(	PUNCT
easat-11010	102	9	𝜙	𝜙	NOUN
easat-11010	102	10	)	)	PUNCT
easat-11010	102	11	,	,	PUNCT
easat-11010	102	12	which	which	PRON
easat-11010	102	13	is	be	AUX
easat-11010	102	14	a	a	DET
easat-11010	102	15	crucial	crucial	ADJ
easat-11010	102	16	input	input	NOUN
easat-11010	102	17	for	for	ADP
easat-11010	102	18	the	the	DET
easat-11010	102	19	state	state	NOUN
easat-11010	102	20	prediction	prediction	NOUN
easat-11010	102	21	equation	equation	NOUN
easat-11010	102	22	in	in	ADP
easat-11010	102	23	the	the	DET
easat-11010	102	24	kalman	kalman	PROPN
easat-11010	102	25	filter	filter	NOUN
easat-11010	102	26	,	,	PUNCT
easat-11010	102	27	is	be	AUX
easat-11010	102	28	produced	produce	VERB
easat-11010	102	29	by	by	ADP
easat-11010	102	30	the	the	DET
easat-11010	102	31	mcmc	mcmc	PROPN
easat-11010	102	32	-	-	PUNCT
easat-11010	102	33	based	base	VERB
easat-11010	102	34	estimate	estimate	NOUN
easat-11010	102	35	step	step	NOUN
easat-11010	102	36	,	,	PUNCT
easat-11010	102	37	which	which	PRON
easat-11010	102	38	also	also	ADV
easat-11010	102	39	captures	capture	VERB
easat-11010	102	40	the	the	DET
easat-11010	102	41	temporal	temporal	ADJ
easat-11010	102	42	dependencies	dependency	NOUN
easat-11010	102	43	and	and	CCONJ
easat-11010	102	44	uncertainty	uncertainty	NOUN
easat-11010	102	45	in	in	ADP
easat-11010	102	46	the	the	DET
easat-11010	102	47	data	datum	NOUN
easat-11010	102	48	.	.	PUNCT
easat-11010	103	1	the	the	DET
easat-11010	103	2	filter	filter	NOUN
easat-11010	103	3	can	can	AUX
easat-11010	103	4	now	now	ADV
easat-11010	103	5	balance	balance	VERB
easat-11010	103	6	real	real	ADJ
easat-11010	103	7	-	-	PUNCT
easat-11010	103	8	time	time	NOUN
easat-11010	103	9	observations	observation	NOUN
easat-11010	103	10	and	and	CCONJ
easat-11010	103	11	past	past	ADJ
easat-11010	103	12	dependencies	dependency	NOUN
easat-11010	103	13	owing	owe	VERB
easat-11010	103	14	to	to	ADP
easat-11010	103	15	this	this	DET
easat-11010	103	16	connection	connection	NOUN
easat-11010	103	17	,	,	PUNCT
easat-11010	103	18	producing	produce	VERB
easat-11010	103	19	accurate	accurate	ADJ
easat-11010	103	20	state	state	NOUN
easat-11010	103	21	estimations	estimation	NOUN
easat-11010	103	22	and	and	CCONJ
easat-11010	103	23	increased	increase	VERB
easat-11010	103	24	forecast	forecast	NOUN
easat-11010	103	25	accuracy	accuracy	NOUN
easat-11010	103	26	.	.	PUNCT
easat-11010	104	1	as	as	SCONJ
easat-11010	104	2	more	more	ADJ
easat-11010	104	3	observations	observation	NOUN
easat-11010	104	4	are	be	AUX
easat-11010	104	5	added	add	VERB
easat-11010	104	6	,	,	PUNCT
easat-11010	104	7	state	state	NOUN
easat-11010	104	8	estimates	estimate	NOUN
easat-11010	104	9	closely	closely	ADV
easat-11010	104	10	match	match	VERB
easat-11010	104	11	the	the	DET
easat-11010	104	12	actual	actual	ADJ
easat-11010	104	13	dynamics	dynamic	NOUN
easat-11010	104	14	of	of	ADP
easat-11010	104	15	the	the	DET
easat-11010	104	16	system	system	NOUN
easat-11010	104	17	because	because	SCONJ
easat-11010	104	18	of	of	ADP
easat-11010	104	19	the	the	DET
easat-11010	104	20	kalman	kalman	PROPN
easat-11010	104	21	filter	filter	PROPN
easat-11010	104	22	's	's	PART
easat-11010	104	23	iterative	iterative	ADJ
easat-11010	104	24	nature	nature	NOUN
easat-11010	104	25	,	,	PUNCT
easat-11010	104	26	which	which	PRON
easat-11010	104	27	guarantees	guarantee	VERB
easat-11010	104	28	convergence	convergence	NOUN
easat-11010	104	29	over	over	ADP
easat-11010	104	30	time	time	NOUN
easat-11010	104	31	.	.	PUNCT
easat-11010	105	1	4	4	X
easat-11010	105	2	.	.	NOUN
easat-11010	105	3	results	result	VERB
easat-11010	105	4	the	the	DET
easat-11010	105	5	dataset	dataset	NOUN
easat-11010	105	6	's	's	PART
easat-11010	105	7	bayesian	bayesian	NOUN
easat-11010	105	8	ar	ar	NOUN
easat-11010	105	9	(	(	PUNCT
easat-11010	105	10	1	1	NUM
easat-11010	105	11	)	)	PUNCT
easat-11010	105	12	mcmc	mcmc	NOUN
easat-11010	105	13	analysis	analysis	NOUN
easat-11010	105	14	shows	show	VERB
easat-11010	105	15	important	important	ADJ
easat-11010	105	16	new	new	ADJ
easat-11010	105	17	information	information	NOUN
easat-11010	105	18	about	about	ADP
easat-11010	105	19	the	the	DET
easat-11010	105	20	patterns	pattern	NOUN
easat-11010	105	21	of	of	ADP
easat-11010	105	22	electricity	electricity	NOUN
easat-11010	105	23	use	use	NOUN
easat-11010	105	24	over	over	ADP
easat-11010	105	25	a	a	DET
easat-11010	105	26	24	24	NUM
easat-11010	105	27	-	-	PUNCT
easat-11010	105	28	hour	hour	NOUN
easat-11010	105	29	period	period	NOUN
easat-11010	105	30	,	,	PUNCT
easat-11010	105	31	including	include	VERB
easat-11010	105	32	its	its	PRON
easat-11010	105	33	acceptance	acceptance	NOUN
easat-11010	105	34	rate	rate	NOUN
easat-11010	105	35	,	,	PUNCT
easat-11010	105	36	variability	variability	NOUN
easat-11010	105	37	,	,	PUNCT
easat-11010	105	38	and	and	CCONJ
easat-11010	105	39	temporal	temporal	ADJ
easat-11010	105	40	dependencies	dependency	NOUN
easat-11010	105	41	.	.	PUNCT
easat-11010	106	1	this	this	DET
easat-11010	106	2	research	research	NOUN
easat-11010	106	3	reveals	reveal	VERB
easat-11010	106	4	subtle	subtle	ADJ
easat-11010	106	5	predictability	predictability	NOUN
easat-11010	106	6	and	and	CCONJ
easat-11010	106	7	variability	variability	NOUN
easat-11010	106	8	influenced	influence	VERB
easat-11010	106	9	by	by	ADP
easat-11010	106	10	temporal	temporal	ADJ
easat-11010	106	11	and	and	CCONJ
easat-11010	106	12	external	external	ADJ
easat-11010	106	13	influences	influence	NOUN
easat-11010	106	14	by	by	ADP
easat-11010	106	15	highlighting	highlight	VERB
easat-11010	106	16	important	important	ADJ
easat-11010	106	17	correlations	correlation	NOUN
easat-11010	106	18	between	between	ADP
easat-11010	106	19	autoregressive	autoregressive	ADJ
easat-11010	106	20	coefficients	coefficient	NOUN
easat-11010	106	21	(	(	PUNCT
easat-11010	106	22	𝜙	𝜙	NOUN
easat-11010	106	23	)	)	PUNCT
easat-11010	106	24	,	,	PUNCT
easat-11010	106	25	noise	noise	NOUN
easat-11010	106	26	variances	variance	NOUN
easat-11010	106	27	(	(	PUNCT
easat-11010	106	28	𝜎²	𝜎²	NOUN
easat-11010	106	29	)	)	PUNCT
easat-11010	106	30	,	,	PUNCT
easat-11010	106	31	and	and	CCONJ
easat-11010	106	32	acceptance	acceptance	NOUN
easat-11010	106	33	rates	rate	NOUN
easat-11010	106	34	.	.	PUNCT
easat-11010	107	1	844	844	NUM
easat-11010	107	2	edelweiss	edelweiss	PROPN
easat-11010	107	3	applied	apply	VERB
easat-11010	107	4	science	science	NOUN
easat-11010	107	5	and	and	CCONJ
easat-11010	107	6	technology	technology	NOUN
easat-11010	107	7	issn	issn	PROPN
easat-11010	107	8	:	:	PUNCT
easat-11010	107	9	2576	2576	NUM
easat-11010	107	10	-	-	SYM
easat-11010	107	11	8484	8484	NUM
easat-11010	107	12	vol	vol	NOUN
easat-11010	107	13	.	.	PROPN
easat-11010	108	1	9	9	NUM
easat-11010	108	2	,	,	PUNCT
easat-11010	108	3	no	no	INTJ
easat-11010	108	4	.	.	NOUN
easat-11010	108	5	11	11	NUM
easat-11010	108	6	:	:	PUNCT
easat-11010	108	7	839	839	NUM
easat-11010	108	8	-	-	NUM
easat-11010	108	9	852	852	NUM
easat-11010	108	10	,	,	PUNCT
easat-11010	108	11	2025	2025	NUM
easat-11010	108	12	doi	doi	NOUN
easat-11010	108	13	:	:	PUNCT
easat-11010	108	14	10.55214/2576	10.55214/2576	NUM
easat-11010	108	15	-	-	SYM
easat-11010	108	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	108	17	©	©	ADP
easat-11010	108	18	2025	2025	NUM
easat-11010	108	19	by	by	ADP
easat-11010	108	20	the	the	DET
easat-11010	108	21	authors	author	NOUN
easat-11010	108	22	;	;	PUNCT
easat-11010	108	23	licensee	licensee	PROPN
easat-11010	108	24	learning	learn	VERB
easat-11010	108	25	gate	gate	NOUN
easat-11010	108	26	table	table	NOUN
easat-11010	108	27	1	1	NUM
easat-11010	108	28	.	.	PUNCT
easat-11010	108	29	descriptive	descriptive	ADJ
easat-11010	108	30	statistics	statistic	NOUN
easat-11010	108	31	of	of	ADP
easat-11010	108	32	the	the	DET
easat-11010	108	33	posterior	posterior	ADJ
easat-11010	108	34	distribution	distribution	NOUN
easat-11010	108	35	.	.	PUNCT
easat-11010	109	1	hour	hour	NOUN
easat-11010	109	2	phi	phi	NOUN
easat-11010	109	3	sigma2	sigma2	NOUN
easat-11010	109	4	acceptance	acceptance	NOUN
easat-11010	109	5	rate	rate	NOUN
easat-11010	109	6	mean	mean	PROPN
easat-11010	109	7	sd	sd	ADP
easat-11010	109	8	ci	ci	PROPN
easat-11010	109	9	lower	low	ADJ
easat-11010	109	10	ci	ci	PROPN
easat-11010	109	11	upper	upper	ADJ
easat-11010	109	12	mean	mean	NOUN
easat-11010	109	13	sd	sd	ADP
easat-11010	109	14	ci	ci	PROPN
easat-11010	109	15	lower	low	ADJ
easat-11010	109	16	ci	ci	PROPN
easat-11010	109	17	upper	upper	ADJ
easat-11010	109	18	1	1	NUM
easat-11010	109	19	0.8004	0.8004	NUM
easat-11010	109	20	0.0321	0.0321	NUM
easat-11010	109	21	0.7369	0.7369	NUM
easat-11010	109	22	0.8631	0.8631	NUM
easat-11010	109	23	0.363	0.363	NUM
easat-11010	109	24	0.0275	0.0275	NUM
easat-11010	109	25	0.3132	0.3132	NUM
easat-11010	109	26	0.4207	0.4207	NUM
easat-11010	109	27	31	31	NUM
easat-11010	109	28	%	%	NOUN
easat-11010	109	29	2	2	NUM
easat-11010	109	30	0.8440	0.8440	NUM
easat-11010	109	31	0.0285	0.0285	NUM
easat-11010	109	32	0.7881	0.7881	NUM
easat-11010	109	33	0.9001	0.9001	NUM
easat-11010	109	34	0.2901	0.2901	NUM
easat-11010	109	35	0.0215	0.0215	NUM
easat-11010	109	36	0.2517	0.2517	NUM
easat-11010	109	37	0.3354	0.3354	NUM
easat-11010	109	38	29	29	NUM
easat-11010	109	39	%	%	NOUN
easat-11010	109	40	3	3	NUM
easat-11010	109	41	0.8676	0.8676	NUM
easat-11010	109	42	0.0266	0.0266	NUM
easat-11010	109	43	0.815	0.815	NUM
easat-11010	109	44	0.9194	0.9194	NUM
easat-11010	109	45	0.2504	0.2504	NUM
easat-11010	109	46	0.0188	0.0188	NUM
easat-11010	109	47	0.2155	0.2155	NUM
easat-11010	109	48	0.2892	0.2892	NUM
easat-11010	109	49	27	27	NUM
easat-11010	109	50	%	%	NOUN
easat-11010	109	51	4	4	NUM
easat-11010	109	52	0.8811	0.8811	NUM
easat-11010	109	53	0.0245	0.0245	NUM
easat-11010	109	54	0.8328	0.8328	NUM
easat-11010	109	55	0.9292	0.9292	NUM
easat-11010	109	56	0.2221	0.2221	NUM
easat-11010	109	57	0.0162	0.0162	NUM
easat-11010	109	58	0.1925	0.1925	NUM
easat-11010	109	59	0.2559	0.2559	NUM
easat-11010	109	60	25	25	NUM
easat-11010	109	61	%	%	NOUN
easat-11010	109	62	5	5	NUM
easat-11010	109	63	0.9064	0.9064	NUM
easat-11010	109	64	0.0223	0.0223	NUM
easat-11010	109	65	0.8623	0.8623	NUM
easat-11010	109	66	0.9501	0.9501	NUM
easat-11010	109	67	0.1762	0.1762	NUM
easat-11010	109	68	0.0133	0.0133	NUM
easat-11010	109	69	0.1522	0.1522	NUM
easat-11010	109	70	0.2042	0.2042	NUM
easat-11010	109	71	23	23	NUM
easat-11010	109	72	%	%	NOUN
easat-11010	109	73	6	6	NUM
easat-11010	109	74	0.8806	0.8806	NUM
easat-11010	109	75	0.0251	0.0251	NUM
easat-11010	110	1	0.8315	0.8315	NUM
easat-11010	110	2	0.9292	0.9292	NUM
easat-11010	110	3	0.2252	0.2252	NUM
easat-11010	110	4	0.0167	0.0167	NUM
easat-11010	110	5	0.1945	0.1945	NUM
easat-11010	110	6	0.2603	0.2603	NUM
easat-11010	110	7	26	26	NUM
easat-11010	110	8	%	%	NOUN
easat-11010	110	9	7	7	NUM
easat-11010	110	10	0.8839	0.8839	NUM
easat-11010	110	11	0.0244	0.0244	NUM
easat-11010	110	12	0.836	0.836	NUM
easat-11010	110	13	0.9317	0.9317	NUM
easat-11010	110	14	0.2171	0.2171	NUM
easat-11010	110	15	0.016	0.016	NUM
easat-11010	110	16	0.1879	0.1879	NUM
easat-11010	110	17	0.2502	0.2502	NUM
easat-11010	110	18	25	25	NUM
easat-11010	110	19	%	%	NOUN
easat-11010	110	20	8	8	NUM
easat-11010	110	21	0.8406	0.8406	NUM
easat-11010	110	22	0.0285	0.0285	NUM
easat-11010	110	23	0.7857	0.7857	NUM
easat-11010	110	24	0.8961	0.8961	NUM
easat-11010	110	25	0.2907	0.2907	NUM
easat-11010	110	26	0.0215	0.0215	NUM
easat-11010	110	27	0.2514	0.2514	NUM
easat-11010	110	28	0.3358	0.3358	NUM
easat-11010	110	29	28	28	NUM
easat-11010	110	30	%	%	NOUN
easat-11010	110	31	9	9	NUM
easat-11010	110	32	0.8103	0.8103	NUM
easat-11010	110	33	0.0311	0.0311	NUM
easat-11010	110	34	0.7487	0.7487	NUM
easat-11010	110	35	0.8705	0.8705	NUM
easat-11010	110	36	0.3432	0.3432	NUM
easat-11010	110	37	0.0257	0.0257	NUM
easat-11010	110	38	0.296	0.296	NUM
easat-11010	110	39	0.3968	0.3968	NUM
easat-11010	110	40	30	30	NUM
easat-11010	110	41	%	%	NOUN
easat-11010	110	42	10	10	NUM
easat-11010	110	43	0.8099	0.8099	NUM
easat-11010	110	44	0.0306	0.0306	NUM
easat-11010	110	45	0.7497	0.7497	NUM
easat-11010	110	46	0.8694	0.8694	NUM
easat-11010	110	47	0.3425	0.3425	NUM
easat-11010	110	48	0.0256	0.0256	NUM
easat-11010	110	49	0.2956	0.2956	NUM
easat-11010	110	50	0.3955	0.3955	NUM
easat-11010	110	51	30	30	NUM
easat-11010	110	52	%	%	NOUN
easat-11010	110	53	11	11	NUM
easat-11010	110	54	0.7708	0.7708	NUM
easat-11010	110	55	0.0337	0.0337	NUM
easat-11010	110	56	0.7046	0.7046	NUM
easat-11010	110	57	0.8365	0.8365	NUM
easat-11010	110	58	0.4052	0.4052	NUM
easat-11010	110	59	0.0299	0.0299	NUM
easat-11010	110	60	0.3511	0.3511	NUM
easat-11010	110	61	0.4675	0.4675	NUM
easat-11010	110	62	32	32	NUM
easat-11010	110	63	%	%	NOUN
easat-11010	110	64	12	12	NUM
easat-11010	110	65	0.7513	0.7513	NUM
easat-11010	110	66	0.0353	0.0353	NUM
easat-11010	110	67	0.6824	0.6824	NUM
easat-11010	110	68	0.8208	0.8208	NUM
easat-11010	110	69	0.4398	0.4398	NUM
easat-11010	110	70	0.0329	0.0329	NUM
easat-11010	110	71	0.3798	0.3798	NUM
easat-11010	110	72	0.5088	0.5088	NUM
easat-11010	110	73	33	33	NUM
easat-11010	110	74	%	%	NOUN
easat-11010	110	75	13	13	NUM
easat-11010	110	76	0.7115	0.7115	NUM
easat-11010	110	77	0.0369	0.0369	NUM
easat-11010	110	78	0.6393	0.6393	NUM
easat-11010	110	79	0.7836	0.7836	NUM
easat-11010	110	80	0.4981	0.4981	NUM
easat-11010	110	81	0.0369	0.0369	NUM
easat-11010	110	82	0.4311	0.4311	NUM
easat-11010	110	83	0.576	0.576	NUM
easat-11010	110	84	34	34	NUM
easat-11010	110	85	%	%	NOUN
easat-11010	110	86	14	14	NUM
easat-11010	110	87	0.716	0.716	NUM
easat-11010	110	88	0.0366	0.0366	NUM
easat-11010	110	89	0.6448	0.6448	NUM
easat-11010	110	90	0.7883	0.7883	NUM
easat-11010	110	91	0.4842	0.4842	NUM
easat-11010	110	92	0.0363	0.0363	NUM
easat-11010	110	93	0.4173	0.4173	NUM
easat-11010	110	94	0.561	0.561	NUM
easat-11010	110	95	34	34	NUM
easat-11010	110	96	%	%	NOUN
easat-11010	110	97	15	15	NUM
easat-11010	110	98	0.7015	0.7015	NUM
easat-11010	110	99	0.0379	0.0379	NUM
easat-11010	110	100	0.6276	0.6276	NUM
easat-11010	110	101	0.7758	0.7758	NUM
easat-11010	110	102	0.5064	0.5064	NUM
easat-11010	110	103	0.0376	0.0376	NUM
easat-11010	110	104	0.4368	0.4368	NUM
easat-11010	110	105	0.5837	0.5837	NUM
easat-11010	110	106	35	35	NUM
easat-11010	110	107	%	%	NOUN
easat-11010	110	108	16	16	NUM
easat-11010	110	109	0.7264	0.7264	NUM
easat-11010	110	110	0.0358	0.0358	NUM
easat-11010	110	111	0.6554	0.6554	NUM
easat-11010	110	112	0.7966	0.7966	NUM
easat-11010	110	113	0.4681	0.4681	NUM
easat-11010	110	114	0.0352	0.0352	NUM
easat-11010	110	115	0.4043	0.4043	NUM
easat-11010	110	116	0.5421	0.5421	NUM
easat-11010	110	117	34	34	NUM
easat-11010	110	118	%	%	NOUN
easat-11010	110	119	17	17	NUM
easat-11010	110	120	0.7517	0.7517	NUM
easat-11010	110	121	0.0344	0.0344	NUM
easat-11010	110	122	0.6847	0.6847	NUM
easat-11010	110	123	0.8185	0.8185	NUM
easat-11010	110	124	0.427	0.427	NUM
easat-11010	110	125	0.0322	0.0322	NUM
easat-11010	110	126	0.3685	0.3685	NUM
easat-11010	110	127	0.4936	0.4936	NUM
easat-11010	110	128	33	33	NUM
easat-11010	110	129	%	%	NOUN
easat-11010	110	130	18	18	NUM
easat-11010	110	131	0.7090	0.7090	NUM
easat-11010	110	132	0.0366	0.0366	NUM
easat-11010	110	133	0.637	0.637	NUM
easat-11010	110	134	0.7814	0.7814	NUM
easat-11010	110	135	0.4867	0.4867	NUM
easat-11010	110	136	0.0359	0.0359	NUM
easat-11010	110	137	0.4207	0.4207	NUM
easat-11010	110	138	0.5632	0.5632	NUM
easat-11010	110	139	34	34	NUM
easat-11010	110	140	%	%	NOUN
easat-11010	110	141	19	19	NUM
easat-11010	110	142	0.7420	0.7420	NUM
easat-11010	110	143	0.0351	0.0351	NUM
easat-11010	110	144	0.6735	0.6735	NUM
easat-11010	110	145	0.811	0.811	NUM
easat-11010	110	146	0.4403	0.4403	NUM
easat-11010	110	147	0.0331	0.0331	NUM
easat-11010	110	148	0.3798	0.3798	NUM
easat-11010	110	149	0.5097	0.5097	NUM
easat-11010	110	150	33	33	NUM
easat-11010	110	151	%	%	NOUN
easat-11010	110	152	20	20	NUM
easat-11010	110	153	0.7936	0.7936	NUM
easat-11010	110	154	0.0317	0.0317	NUM
easat-11010	110	155	0.7311	0.7311	NUM
easat-11010	110	156	0.8558	0.8558	NUM
easat-11010	110	157	0.3594	0.3594	NUM
easat-11010	110	158	0.0270	0.0270	NUM
easat-11010	110	159	0.3111	0.3111	NUM
easat-11010	110	160	0.4171	0.4171	NUM
easat-11010	110	161	31	31	NUM
easat-11010	110	162	%	%	NOUN
easat-11010	110	163	21	21	NUM
easat-11010	110	164	0.8193	0.8193	NUM
easat-11010	110	165	0.0298	0.0298	NUM
easat-11010	110	166	0.7613	0.7613	NUM
easat-11010	110	167	0.8775	0.8775	NUM
easat-11010	110	168	0.3186	0.3186	NUM
easat-11010	110	169	0.0238	0.0238	NUM
easat-11010	110	170	0.275	0.275	NUM
easat-11010	110	171	0.3689	0.3689	NUM
easat-11010	110	172	30	30	NUM
easat-11010	110	173	%	%	NOUN
easat-11010	110	174	22	22	NUM
easat-11010	110	175	0.8034	0.8034	NUM
easat-11010	110	176	0.031	0.031	NUM
easat-11010	110	177	0.7425	0.7425	NUM
easat-11010	110	178	0.8639	0.8639	NUM
easat-11010	110	179	0.3453	0.3453	NUM
easat-11010	110	180	0.0258	0.0258	NUM
easat-11010	110	181	0.2983	0.2983	NUM
easat-11010	110	182	0.3991	0.3991	NUM
easat-11010	110	183	29	29	NUM
easat-11010	110	184	%	%	NOUN
easat-11010	110	185	23	23	NUM
easat-11010	110	186	0.8239	0.8239	NUM
easat-11010	110	187	0.0296	0.0296	NUM
easat-11010	110	188	0.7661	0.7661	NUM
easat-11010	110	189	0.8818	0.8818	NUM
easat-11010	110	190	0.3137	0.3137	NUM
easat-11010	110	191	0.0237	0.0237	NUM
easat-11010	110	192	0.2708	0.2708	NUM
easat-11010	110	193	0.3638	0.3638	NUM
easat-11010	110	194	28	28	NUM
easat-11010	110	195	%	%	NOUN
easat-11010	110	196	24	24	NUM
easat-11010	110	197	0.8473	0.8473	NUM
easat-11010	110	198	0.0278	0.0278	NUM
easat-11010	110	199	0.7928	0.7928	NUM
easat-11010	110	200	0.9020	0.9020	NUM
easat-11010	110	201	0.2763	0.2763	NUM
easat-11010	110	202	0.0204	0.0204	NUM
easat-11010	110	203	0.2394	0.2394	NUM
easat-11010	110	204	0.3195	0.3195	NUM
easat-11010	110	205	28	28	NUM
easat-11010	110	206	%	%	NOUN
easat-11010	110	207	strong	strong	ADJ
easat-11010	110	208	temporal	temporal	ADJ
easat-11010	110	209	dependencies	dependency	NOUN
easat-11010	110	210	were	be	AUX
easat-11010	110	211	shown	show	VERB
easat-11010	110	212	by	by	ADP
easat-11010	110	213	periods	period	NOUN
easat-11010	110	214	with	with	ADP
easat-11010	110	215	high	high	ADJ
easat-11010	110	216	autoregressive	autoregressive	ADJ
easat-11010	110	217	coefficients	coefficient	NOUN
easat-11010	110	218	(	(	PUNCT
easat-11010	110	219	𝜙	𝜙	NOUN
easat-11010	110	220	)	)	PUNCT
easat-11010	110	221	,	,	PUNCT
easat-11010	110	222	where	where	SCONJ
easat-11010	110	223	the	the	DET
easat-11010	110	224	usage	usage	NOUN
easat-11010	110	225	of	of	ADP
easat-11010	110	226	electricity	electricity	NOUN
easat-11010	110	227	during	during	ADP
easat-11010	110	228	the	the	DET
easat-11010	110	229	preceding	precede	VERB
easat-11010	110	230	hour	hour	NOUN
easat-11010	110	231	had	have	VERB
easat-11010	110	232	a	a	DET
easat-11010	110	233	considerable	considerable	ADJ
easat-11010	110	234	impact	impact	NOUN
easat-11010	110	235	on	on	ADP
easat-11010	110	236	power	power	NOUN
easat-11010	110	237	consumption	consumption	NOUN
easat-11010	110	238	.	.	PUNCT
easat-11010	111	1	for	for	ADP
easat-11010	111	2	example	example	NOUN
easat-11010	111	3	,	,	PUNCT
easat-11010	111	4	there	there	PRON
easat-11010	111	5	was	be	VERB
easat-11010	111	6	substantial	substantial	ADJ
easat-11010	111	7	autoregressive	autoregressive	ADJ
easat-11010	111	8	behavior	behavior	NOUN
easat-11010	111	9	during	during	ADP
easat-11010	111	10	hours	hour	NOUN
easat-11010	111	11	24	24	NUM
easat-11010	111	12	(	(	PUNCT
easat-11010	111	13	𝜙	𝜙	NOUN
easat-11010	111	14	=	=	SYM
easat-11010	111	15	0.85	0.85	NUM
easat-11010	111	16	)	)	PUNCT
easat-11010	111	17	and	and	CCONJ
easat-11010	111	18	23	23	NUM
easat-11010	111	19	(	(	PUNCT
easat-11010	111	20	𝜙	𝜙	NOUN
easat-11010	111	21	≈	≈	PROPN
easat-11010	111	22	0.82	0.82	NUM
easat-11010	111	23	)	)	PUNCT
easat-11010	111	24	,	,	PUNCT
easat-11010	111	25	indicating	indicate	VERB
easat-11010	111	26	great	great	ADJ
easat-11010	111	27	predictability	predictability	NOUN
easat-11010	111	28	.	.	PUNCT
easat-11010	112	1	hours	hour	NOUN
easat-11010	112	2	4	4	NUM
easat-11010	112	3	(	(	PUNCT
easat-11010	112	4	𝜙	𝜙	X
easat-11010	112	5	=	=	NOUN
easat-11010	112	6	0.88	0.88	NUM
easat-11010	112	7	)	)	PUNCT
easat-11010	112	8	,	,	PUNCT
easat-11010	112	9	and	and	CCONJ
easat-11010	112	10	5	5	NUM
easat-11010	112	11	(	(	PUNCT
easat-11010	112	12	𝜙	𝜙	NOUN
easat-11010	112	13	≈	≈	PROPN
easat-11010	112	14	0.91	0.91	NUM
easat-11010	112	15	)	)	PUNCT
easat-11010	112	16	,	,	PUNCT
easat-11010	112	17	also	also	ADV
easat-11010	112	18	exhibited	exhibit	VERB
easat-11010	112	19	significant	significant	ADJ
easat-11010	112	20	autocorrelation	autocorrelation	NOUN
easat-11010	112	21	,	,	PUNCT
easat-11010	112	22	indicating	indicate	VERB
easat-11010	112	23	recurring	recur	VERB
easat-11010	112	24	reliance	reliance	NOUN
easat-11010	112	25	on	on	ADP
easat-11010	112	26	previous	previous	ADJ
easat-11010	112	27	spending	spending	NOUN
easat-11010	112	28	.	.	PUNCT
easat-11010	113	1	moderately	moderately	ADV
easat-11010	113	2	high	high	ADJ
easat-11010	113	3	𝜙	𝜙	PRON
easat-11010	113	4	values	value	NOUN
easat-11010	113	5	were	be	AUX
easat-11010	113	6	displayed	display	VERB
easat-11010	113	7	by	by	ADP
easat-11010	113	8	hours	hour	NOUN
easat-11010	113	9	,	,	PUNCT
easat-11010	113	10	such	such	ADJ
easat-11010	113	11	as	as	ADP
easat-11010	113	12	8	8	NUM
easat-11010	113	13	(	(	PUNCT
easat-11010	113	14	𝜙	𝜙	NOUN
easat-11010	113	15	≈	≈	PROPN
easat-11010	113	16	0.84	0.84	NUM
easat-11010	113	17	)	)	PUNCT
easat-11010	113	18	and	and	CCONJ
easat-11010	113	19	9	9	NUM
easat-11010	113	20	(	(	PUNCT
easat-11010	113	21	𝜙	𝜙	NOUN
easat-11010	113	22	≈	≈	PROPN
easat-11010	113	23	0.81	0.81	NUM
easat-11010	113	24	)	)	PUNCT
easat-11010	113	25	,	,	PUNCT
easat-11010	113	26	which	which	PRON
easat-11010	113	27	showed	show	VERB
easat-11010	113	28	a	a	DET
easat-11010	113	29	balance	balance	NOUN
easat-11010	113	30	between	between	ADP
easat-11010	113	31	temporal	temporal	ADJ
easat-11010	113	32	dependence	dependence	NOUN
easat-11010	113	33	and	and	CCONJ
easat-11010	113	34	outside	outside	ADJ
easat-11010	113	35	effects	effect	NOUN
easat-11010	113	36	.	.	PUNCT
easat-11010	114	1	periods	period	NOUN
easat-11010	114	2	with	with	ADP
easat-11010	114	3	poor	poor	ADJ
easat-11010	114	4	secure	secure	ADJ
easat-11010	114	5	reliability	reliability	NOUN
easat-11010	114	6	,	,	PUNCT
easat-11010	114	7	such	such	ADJ
easat-11010	114	8	as	as	ADP
easat-11010	114	9	13	13	NUM
easat-11010	114	10	(	(	PUNCT
easat-11010	114	11	(	(	PUNCT
easat-11010	114	12	𝜙	𝜙	X
easat-11010	114	13	=	=	NOUN
easat-11010	114	14	0.71	0.71	NUM
easat-11010	114	15	)	)	PUNCT
easat-11010	114	16	and	and	CCONJ
easat-11010	114	17	hour	hour	NOUN
easat-11010	114	18	14	14	NUM
easat-11010	114	19	(	(	PUNCT
easat-11010	114	20	𝜙	𝜙	PROPN
easat-11010	114	21	≈	≈	PROPN
easat-11010	114	22	0.72	0.72	NUM
easat-11010	114	23	)	)	PUNCT
easat-11010	114	24	,	,	PUNCT
easat-11010	114	25	have	have	VERB
easat-11010	114	26	lower	low	ADJ
easat-11010	114	27	coefficients	coefficient	NOUN
easat-11010	114	28	,	,	PUNCT
easat-11010	114	29	which	which	PRON
easat-11010	114	30	makes	make	VERB
easat-11010	114	31	the	the	DET
easat-11010	114	32	period	period	NOUN
easat-11010	114	33	less	less	ADV
easat-11010	114	34	predictable	predictable	ADJ
easat-11010	114	35	and	and	CCONJ
easat-11010	114	36	more	more	ADV
easat-11010	114	37	affected	affect	VERB
easat-11010	114	38	by	by	ADP
easat-11010	114	39	outside	outside	ADJ
easat-11010	114	40	variables	variable	NOUN
easat-11010	114	41	.	.	PUNCT
easat-11010	115	1	unaccounted	unaccounte	VERB
easat-11010	115	2	-	-	PUNCT
easat-11010	115	3	for	for	ADP
easat-11010	115	4	variability	variability	NOUN
easat-11010	115	5	is	be	AUX
easat-11010	115	6	more	more	ADV
easat-11010	115	7	commonly	commonly	ADV
easat-11010	115	8	used	use	VERB
easat-11010	115	9	by	by	ADP
easat-11010	115	10	noise	noise	NOUN
easat-11010	115	11	variances	variance	NOUN
easat-11010	115	12	(	(	PUNCT
easat-11010	115	13	𝜎²	𝜎²	PROPN
easat-11010	115	14	)	)	PUNCT
easat-11010	115	15	.	.	PUNCT
easat-11010	116	1	periods	period	NOUN
easat-11010	116	2	with	with	ADP
easat-11010	116	3	rich	rich	ADJ
easat-11010	116	4	values	value	NOUN
easat-11010	116	5	𝜎²	𝜎²	ADJ
easat-11010	116	6	values	value	NOUN
easat-11010	116	7	,	,	PUNCT
easat-11010	116	8	as	as	ADP
easat-11010	116	9	hour	hour	NOUN
easat-11010	116	10	13	13	NUM
easat-11010	116	11	(	(	PUNCT
easat-11010	116	12	𝜎²	𝜎²	PROPN
easat-11010	116	13	≈	≈	PROPN
easat-11010	116	14	0.50	0.50	NUM
easat-11010	116	15	)	)	PUNCT
easat-11010	116	16	and	and	CCONJ
easat-11010	116	17	hour	hour	NOUN
easat-11010	116	18	15	15	NUM
easat-11010	116	19	(	(	PUNCT
easat-11010	116	20	𝜎²	𝜎²	NOUN
easat-11010	116	21	≈	≈	PROPN
easat-11010	116	22	0.51	0.51	NUM
easat-11010	116	23	)	)	PUNCT
easat-11010	116	24	,	,	PUNCT
easat-11010	116	25	indicated	indicate	VERB
easat-11010	116	26	significant	significant	ADJ
easat-11010	116	27	variability	variability	NOUN
easat-11010	116	28	that	that	PRON
easat-11010	116	29	the	the	DET
easat-11010	116	30	model	model	NOUN
easat-11010	116	31	was	be	AUX
easat-11010	116	32	unable	unable	ADJ
easat-11010	116	33	to	to	PART
easat-11010	116	34	account	account	VERB
easat-11010	116	35	for	for	ADP
easat-11010	116	36	,	,	PUNCT
easat-11010	116	37	which	which	PRON
easat-11010	116	38	might	might	AUX
easat-11010	116	39	be	be	AUX
easat-11010	116	40	a	a	DET
easat-11010	116	41	result	result	NOUN
easat-11010	116	42	of	of	ADP
easat-11010	116	43	environmental	environmental	ADJ
easat-11010	116	44	factors	factor	NOUN
easat-11010	116	45	or	or	CCONJ
easat-11010	116	46	outside	outside	ADJ
easat-11010	116	47	disturbances	disturbance	NOUN
easat-11010	116	48	.	.	PUNCT
easat-11010	117	1	on	on	ADP
easat-11010	117	2	the	the	DET
easat-11010	117	3	other	other	ADJ
easat-11010	117	4	hand	hand	NOUN
easat-11010	117	5	,	,	PUNCT
easat-11010	117	6	smaller	small	ADJ
easat-11010	117	7	σ²	σ²	NOUN
easat-11010	117	8	values	value	NOUN
easat-11010	117	9	were	be	AUX
easat-11010	117	10	observed	observe	VERB
easat-11010	117	11	during	during	ADP
easat-11010	117	12	times	time	NOUN
easat-11010	117	13	such	such	ADJ
easat-11010	117	14	as	as	ADP
easat-11010	117	15	hour	hour	NOUN
easat-11010	117	16	5	5	NUM
easat-11010	117	17	(	(	PUNCT
easat-11010	117	18	σ²	σ²	NOUN
easat-11010	117	19	=	=	SYM
easat-11010	117	20	0.18	0.18	NUM
easat-11010	117	21	)	)	PUNCT
easat-11010	117	22	and	and	CCONJ
easat-11010	117	23	hour	hour	NOUN
easat-11010	117	24	6	6	NUM
easat-11010	117	25	(	(	PUNCT
easat-11010	117	26	𝜎²	𝜎²	PROPN
easat-11010	117	27	≈	≈	PROPN
easat-11010	117	28	0.23	0.23	NUM
easat-11010	117	29	)	)	PUNCT
easat-11010	117	30	,	,	PUNCT
easat-11010	117	31	which	which	PRON
easat-11010	117	32	indicated	indicate	VERB
easat-11010	117	33	more	more	ADV
easat-11010	117	34	steady	steady	ADJ
easat-11010	117	35	and	and	CCONJ
easat-11010	117	36	regular	regular	ADJ
easat-11010	117	37	consumption	consumption	NOUN
easat-11010	117	38	habits	habit	NOUN
easat-11010	117	39	.	.	PUNCT
easat-11010	118	1	the	the	DET
easat-11010	118	2	convergence	convergence	NOUN
easat-11010	118	3	and	and	CCONJ
easat-11010	118	4	sampling	sample	VERB
easat-11010	118	5	efficiency	efficiency	NOUN
easat-11010	118	6	were	be	AUX
easat-11010	118	7	assessed	assess	VERB
easat-11010	118	8	through	through	ADP
easat-11010	118	9	the	the	DET
easat-11010	118	10	acceptance	acceptance	NOUN
easat-11010	118	11	rate	rate	NOUN
easat-11010	118	12	of	of	ADP
easat-11010	118	13	the	the	DET
easat-11010	118	14	bayesian	bayesian	PROPN
easat-11010	118	15	mcmc	mcmc	PROPN
easat-11010	118	16	model	model	PROPN
easat-11010	118	17	.	.	PUNCT
easat-11010	119	1	a	a	DET
easat-11010	119	2	slower	slow	ADJ
easat-11010	119	3	mixing	mixing	NOUN
easat-11010	119	4	process	process	NOUN
easat-11010	119	5	was	be	AUX
easat-11010	119	6	suggested	suggest	VERB
easat-11010	119	7	by	by	ADP
easat-11010	119	8	the	the	DET
easat-11010	119	9	research	research	NOUN
easat-11010	119	10	;	;	PUNCT
easat-11010	119	11	however	however	ADV
easat-11010	119	12	,	,	PUNCT
easat-11010	119	13	it	it	PRON
easat-11010	119	14	became	become	VERB
easat-11010	119	15	evident	evident	ADJ
easat-11010	119	16	that	that	SCONJ
easat-11010	119	17	the	the	DET
easat-11010	119	18	acceptance	acceptance	NOUN
easat-11010	119	19	rate	rate	NOUN
easat-11010	119	20	fluctuated	fluctuate	VERB
easat-11010	119	21	throughout	throughout	ADP
easat-11010	119	22	the	the	DET
easat-11010	119	23	day	day	NOUN
easat-11010	119	24	.	.	PUNCT
easat-11010	120	1	for	for	ADP
easat-11010	120	2	instance	instance	NOUN
easat-11010	120	3	,	,	PUNCT
easat-11010	120	4	lower	low	ADJ
easat-11010	120	5	values	value	NOUN
easat-11010	120	6	were	be	AUX
easat-11010	120	7	observed	observe	VERB
easat-11010	120	8	during	during	ADP
easat-11010	120	9	hours	hour	NOUN
easat-11010	120	10	such	such	ADJ
easat-11010	120	11	as	as	ADP
easat-11010	120	12	hour	hour	NOUN
easat-11010	120	13	5	5	NUM
easat-11010	120	14	(	(	PUNCT
easat-11010	120	15	acceptance	acceptance	NOUN
easat-11010	120	16	rate	rate	NOUN
easat-11010	120	17	≈	≈	PROPN
easat-11010	120	18	0.26	0.26	NUM
easat-11010	120	19	)	)	PUNCT
easat-11010	120	20	and	and	CCONJ
easat-11010	120	21	hour	hour	NOUN
easat-11010	120	22	6	6	NUM
easat-11010	120	23	(	(	PUNCT
easat-11010	120	24	acceptance	acceptance	NOUN
easat-11010	120	25	rate	rate	NOUN
easat-11010	120	26	≈	≈	PROPN
easat-11010	120	27	0.25	0.25	NUM
easat-11010	120	28	)	)	PUNCT
easat-11010	120	29	.	.	PUNCT
easat-11010	121	1	in	in	ADP
easat-11010	121	2	contrast	contrast	NOUN
easat-11010	121	3	,	,	PUNCT
easat-11010	121	4	a	a	DET
easat-11010	121	5	more	more	ADV
easat-11010	121	6	effective	effective	ADJ
easat-11010	121	7	sampling	sample	VERB
easat-11010	121	8	procedure	procedure	NOUN
easat-11010	121	9	was	be	AUX
easat-11010	121	10	indicated	indicate	VERB
easat-11010	121	11	by	by	ADP
easat-11010	121	12	higher	high	ADJ
easat-11010	121	13	acceptance	acceptance	NOUN
easat-11010	121	14	rates	rate	NOUN
easat-11010	121	15	during	during	ADP
easat-11010	121	16	hours	hour	NOUN
easat-11010	121	17	like	like	ADP
easat-11010	121	18	hour	hour	NOUN
easat-11010	121	19	13	13	NUM
easat-11010	121	20	(	(	PUNCT
easat-11010	121	21	acceptance	acceptance	NOUN
easat-11010	121	22	rate	rate	NOUN
easat-11010	121	23	≈	≈	PROPN
easat-11010	121	24	0.34	0.34	NUM
easat-11010	121	25	)	)	PUNCT
easat-11010	121	26	and	and	CCONJ
easat-11010	121	27	hour	hour	NOUN
easat-11010	121	28	15	15	NUM
easat-11010	121	29	(	(	PUNCT
easat-11010	121	30	acceptance	acceptance	NOUN
easat-11010	121	31	rate	rate	NOUN
easat-11010	121	32	≈	≈	PROPN
easat-11010	121	33	0.35	0.35	NUM
easat-11010	121	34	)	)	PUNCT
easat-11010	121	35	.	.	PUNCT
easat-11010	122	1	although	although	SCONJ
easat-11010	122	2	the	the	DET
easat-11010	122	3	intricacy	intricacy	NOUN
easat-11010	122	4	of	of	ADP
easat-11010	122	5	the	the	DET
easat-11010	122	6	underlying	underlie	VERB
easat-11010	122	7	temporal	temporal	ADJ
easat-11010	122	8	connections	connection	NOUN
easat-11010	122	9	and	and	CCONJ
easat-11010	122	10	the	the	DET
easat-11010	122	11	model	model	NOUN
easat-11010	122	12	's	's	PART
easat-11010	122	13	ability	ability	NOUN
easat-11010	122	14	to	to	PART
easat-11010	122	15	adapt	adapt	VERB
easat-11010	122	16	to	to	ADP
easat-11010	122	17	shifting	shift	VERB
easat-11010	122	18	consumption	consumption	NOUN
easat-11010	122	19	patterns	pattern	NOUN
easat-11010	122	20	may	may	AUX
easat-11010	122	21	be	be	AUX
easat-11010	122	22	reflected	reflect	VERB
easat-11010	122	23	in	in	ADP
easat-11010	122	24	these	these	DET
easat-11010	122	25	variances	variance	NOUN
easat-11010	122	26	in	in	ADP
easat-11010	122	27	acceptance	acceptance	NOUN
easat-11010	122	28	rates	rate	NOUN
easat-11010	122	29	,	,	PUNCT
easat-11010	122	30	this	this	DET
easat-11010	122	31	complexity	complexity	NOUN
easat-11010	122	32	warrants	warrant	NOUN
easat-11010	122	33	further	further	ADJ
easat-11010	122	34	investigation	investigation	NOUN
easat-11010	122	35	.	.	PUNCT
easat-11010	123	1	845	845	NUM
easat-11010	123	2	edelweiss	edelweiss	PROPN
easat-11010	123	3	applied	apply	VERB
easat-11010	123	4	science	science	NOUN
easat-11010	123	5	and	and	CCONJ
easat-11010	123	6	technology	technology	NOUN
easat-11010	123	7	issn	issn	PROPN
easat-11010	123	8	:	:	PUNCT
easat-11010	123	9	2576	2576	NUM
easat-11010	123	10	-	-	SYM
easat-11010	123	11	8484	8484	NUM
easat-11010	123	12	vol	vol	NOUN
easat-11010	123	13	.	.	PROPN
easat-11010	124	1	9	9	NUM
easat-11010	124	2	,	,	PUNCT
easat-11010	124	3	no	no	INTJ
easat-11010	124	4	.	.	NOUN
easat-11010	124	5	11	11	NUM
easat-11010	124	6	:	:	PUNCT
easat-11010	124	7	839	839	NUM
easat-11010	124	8	-	-	NUM
easat-11010	124	9	852	852	NUM
easat-11010	124	10	,	,	PUNCT
easat-11010	124	11	2025	2025	NUM
easat-11010	124	12	doi	doi	NOUN
easat-11010	124	13	:	:	PUNCT
easat-11010	124	14	10.55214/2576	10.55214/2576	NUM
easat-11010	124	15	-	-	SYM
easat-11010	124	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	124	17	©	©	ADP
easat-11010	124	18	2025	2025	NUM
easat-11010	124	19	by	by	ADP
easat-11010	124	20	the	the	DET
easat-11010	124	21	authors	author	NOUN
easat-11010	124	22	;	;	PUNCT
easat-11010	124	23	licensee	licensee	PROPN
easat-11010	124	24	learning	learning	NOUN
easat-11010	124	25	gate	gate	VERB
easat-11010	124	26	credible	credible	ADJ
easat-11010	124	27	intervals	interval	NOUN
easat-11010	124	28	(	(	PUNCT
easat-11010	124	29	cis	cis	NOUN
easat-11010	124	30	)	)	PUNCT
easat-11010	124	31	for	for	ADP
easat-11010	124	32	ϕ	ϕ	NOUN
easat-11010	124	33	provided	provide	VERB
easat-11010	124	34	valuable	valuable	ADJ
easat-11010	124	35	insights	insight	NOUN
easat-11010	124	36	into	into	ADP
easat-11010	124	37	the	the	DET
easat-11010	124	38	reliability	reliability	NOUN
easat-11010	124	39	of	of	ADP
easat-11010	124	40	the	the	DET
easat-11010	124	41	model	model	NOUN
easat-11010	124	42	's	's	PART
easat-11010	124	43	estimates	estimate	NOUN
easat-11010	124	44	.	.	PUNCT
easat-11010	125	1	narrow	narrow	ADJ
easat-11010	125	2	intervals	interval	NOUN
easat-11010	125	3	,	,	PUNCT
easat-11010	125	4	such	such	ADJ
easat-11010	125	5	as	as	ADP
easat-11010	125	6	those	those	PRON
easat-11010	125	7	for	for	ADP
easat-11010	125	8	hour	hour	NOUN
easat-11010	125	9	6	6	NUM
easat-11010	125	10	(	(	PUNCT
easat-11010	125	11	𝜙	𝜙	NOUN
easat-11010	125	12	ci	ci	NOUN
easat-11010	125	13	:	:	PUNCT
easat-11010	125	14	[	[	X
easat-11010	125	15	0.83	0.83	NUM
easat-11010	125	16	,	,	PUNCT
easat-11010	125	17	0.93	0.93	NUM
easat-11010	125	18	]	]	PUNCT
easat-11010	125	19	)	)	PUNCT
easat-11010	125	20	and	and	CCONJ
easat-11010	125	21	hour	hour	NOUN
easat-11010	125	22	24	24	NUM
easat-11010	125	23	(	(	PUNCT
easat-11010	125	24	𝜙	𝜙	NOUN
easat-11010	125	25	ci	ci	NOUN
easat-11010	125	26	:	:	PUNCT
easat-11010	125	27	[	[	X
easat-11010	125	28	0.79	0.79	NUM
easat-11010	125	29	,	,	PUNCT
easat-11010	125	30	0.90	0.90	NUM
easat-11010	125	31	]	]	PUNCT
easat-11010	125	32	)	)	PUNCT
easat-11010	125	33	,	,	PUNCT
easat-11010	125	34	indicated	indicate	VERB
easat-11010	125	35	high	high	ADJ
easat-11010	125	36	confidence	confidence	NOUN
easat-11010	125	37	in	in	ADP
easat-11010	125	38	the	the	DET
easat-11010	125	39	estimates	estimate	NOUN
easat-11010	125	40	.	.	PUNCT
easat-11010	126	1	in	in	ADP
easat-11010	126	2	contrast	contrast	NOUN
easat-11010	126	3	,	,	PUNCT
easat-11010	126	4	wider	wide	ADJ
easat-11010	126	5	intervals	interval	NOUN
easat-11010	126	6	,	,	PUNCT
easat-11010	126	7	like	like	ADP
easat-11010	126	8	those	those	PRON
easat-11010	126	9	for	for	ADP
easat-11010	126	10	hour	hour	NOUN
easat-11010	126	11	13	13	NUM
easat-11010	126	12	(	(	PUNCT
easat-11010	126	13	𝜙	𝜙	NOUN
easat-11010	126	14	ci	ci	NOUN
easat-11010	126	15	:	:	PUNCT
easat-11010	126	16	[	[	X
easat-11010	126	17	0.64	0.64	NUM
easat-11010	126	18	,	,	PUNCT
easat-11010	126	19	0.78	0.78	NUM
easat-11010	126	20	]	]	PUNCT
easat-11010	126	21	)	)	PUNCT
easat-11010	126	22	and	and	CCONJ
easat-11010	126	23	hour	hour	NOUN
easat-11010	126	24	18	18	NUM
easat-11010	126	25	(	(	PUNCT
easat-11010	126	26	𝜙	𝜙	NOUN
easat-11010	126	27	ci	ci	NOUN
easat-11010	126	28	:	:	PUNCT
easat-11010	127	1	[	[	X
easat-11010	127	2	0.64	0.64	NUM
easat-11010	127	3	,	,	PUNCT
easat-11010	127	4	0.78	0.78	NUM
easat-11010	127	5	]	]	PUNCT
easat-11010	127	6	)	)	PUNCT
easat-11010	127	7	,	,	PUNCT
easat-11010	127	8	suggested	suggest	VERB
easat-11010	127	9	greater	great	ADJ
easat-11010	127	10	uncertainty	uncertainty	NOUN
easat-11010	127	11	,	,	PUNCT
easat-11010	127	12	possibly	possibly	ADV
easat-11010	127	13	due	due	ADP
easat-11010	127	14	to	to	ADP
easat-11010	127	15	increased	increase	VERB
easat-11010	127	16	variability	variability	NOUN
easat-11010	127	17	or	or	CCONJ
easat-11010	127	18	the	the	DET
easat-11010	127	19	influence	influence	NOUN
easat-11010	127	20	of	of	ADP
easat-11010	127	21	external	external	ADJ
easat-11010	127	22	factors	factor	NOUN
easat-11010	127	23	.	.	PUNCT
easat-11010	128	1	the	the	DET
easat-11010	128	2	mcmc	mcmc	PROPN
easat-11010	128	3	analysis	analysis	NOUN
easat-11010	128	4	showed	show	VERB
easat-11010	128	5	that	that	SCONJ
easat-11010	128	6	acceptance	acceptance	NOUN
easat-11010	128	7	rates	rate	NOUN
easat-11010	128	8	across	across	ADP
easat-11010	128	9	all	all	DET
easat-11010	128	10	hours	hour	NOUN
easat-11010	128	11	ranged	range	VERB
easat-11010	128	12	between	between	ADP
easat-11010	128	13	0.235	0.235	NUM
easat-11010	128	14	and	and	CCONJ
easat-11010	128	15	0.346	0.346	NUM
easat-11010	128	16	,	,	PUNCT
easat-11010	128	17	comfortably	comfortably	ADV
easat-11010	128	18	within	within	ADP
easat-11010	128	19	the	the	DET
easat-11010	128	20	recommended	recommend	VERB
easat-11010	128	21	range	range	NOUN
easat-11010	128	22	of	of	ADP
easat-11010	128	23	20–40	20–40	NUM
easat-11010	128	24	%	%	NOUN
easat-11010	128	25	for	for	ADP
easat-11010	128	26	metropolis	metropoli	NOUN
easat-11010	128	27	-	-	PUNCT
easat-11010	128	28	hastings	hasting	NOUN
easat-11010	128	29	algorithms	algorithm	NOUN
easat-11010	128	30	.	.	PUNCT
easat-11010	129	1	this	this	DET
easat-11010	129	2	balance	balance	NOUN
easat-11010	129	3	ensured	ensure	VERB
easat-11010	129	4	that	that	SCONJ
easat-11010	129	5	the	the	DET
easat-11010	129	6	sampler	sampler	NOUN
easat-11010	129	7	was	be	AUX
easat-11010	129	8	neither	neither	CCONJ
easat-11010	129	9	overly	overly	ADV
easat-11010	129	10	cautious	cautious	ADJ
easat-11010	129	11	nor	nor	CCONJ
easat-11010	129	12	overly	overly	ADV
easat-11010	129	13	aggressive	aggressive	ADJ
easat-11010	129	14	when	when	SCONJ
easat-11010	129	15	proposing	propose	VERB
easat-11010	129	16	new	new	ADJ
easat-11010	129	17	states	state	NOUN
easat-11010	129	18	.	.	PUNCT
easat-11010	130	1	as	as	ADP
easat-11010	130	2	a	a	DET
easat-11010	130	3	result	result	NOUN
easat-11010	130	4	,	,	PUNCT
easat-11010	130	5	the	the	DET
easat-11010	130	6	mcmc	mcmc	PROPN
easat-11010	130	7	algorithm	algorithm	PROPN
easat-11010	130	8	efficiently	efficiently	ADV
easat-11010	130	9	explored	explore	VERB
easat-11010	130	10	the	the	DET
easat-11010	130	11	parameter	parameter	NOUN
easat-11010	130	12	space	space	NOUN
easat-11010	130	13	,	,	PUNCT
easat-11010	130	14	striking	strike	VERB
easat-11010	130	15	a	a	DET
easat-11010	130	16	good	good	ADJ
easat-11010	130	17	balance	balance	NOUN
easat-11010	130	18	between	between	ADP
easat-11010	130	19	computational	computational	ADJ
easat-11010	130	20	speed	speed	NOUN
easat-11010	130	21	and	and	CCONJ
easat-11010	130	22	thoroughness	thoroughness	NOUN
easat-11010	130	23	.	.	PUNCT
easat-11010	131	1	the	the	DET
easat-11010	131	2	findings	finding	NOUN
easat-11010	131	3	shed	shed	VERB
easat-11010	131	4	light	light	NOUN
easat-11010	131	5	on	on	ADP
easat-11010	131	6	the	the	DET
easat-11010	131	7	complex	complex	ADJ
easat-11010	131	8	and	and	CCONJ
easat-11010	131	9	dynamic	dynamic	ADJ
easat-11010	131	10	nature	nature	NOUN
easat-11010	131	11	of	of	ADP
easat-11010	131	12	electricity	electricity	NOUN
easat-11010	131	13	consumption	consumption	NOUN
easat-11010	131	14	patterns	pattern	NOUN
easat-11010	131	15	.	.	PUNCT
easat-11010	132	1	high	high	ADJ
easat-11010	132	2	predictability	predictability	NOUN
easat-11010	132	3	and	and	CCONJ
easat-11010	132	4	stability	stability	NOUN
easat-11010	132	5	were	be	AUX
easat-11010	132	6	evident	evident	ADJ
easat-11010	132	7	during	during	ADP
easat-11010	132	8	periods	period	NOUN
easat-11010	132	9	with	with	ADP
easat-11010	132	10	low	low	ADJ
easat-11010	132	11	noise	noise	NOUN
easat-11010	132	12	,	,	PUNCT
easat-11010	132	13	consistent	consistent	ADJ
easat-11010	132	14	acceptance	acceptance	NOUN
easat-11010	132	15	rates	rate	NOUN
easat-11010	132	16	,	,	PUNCT
easat-11010	132	17	and	and	CCONJ
easat-11010	132	18	strong	strong	ADJ
easat-11010	132	19	autoregressive	autoregressive	ADJ
easat-11010	132	20	coefficients	coefficient	NOUN
easat-11010	132	21	.	.	PUNCT
easat-11010	133	1	conversely	conversely	ADV
easat-11010	133	2	,	,	PUNCT
easat-11010	133	3	variability	variability	NOUN
easat-11010	133	4	in	in	ADP
easat-11010	133	5	acceptance	acceptance	NOUN
easat-11010	133	6	rates	rate	NOUN
easat-11010	133	7	,	,	PUNCT
easat-11010	133	8	larger	large	ADJ
easat-11010	133	9	noise	noise	NOUN
easat-11010	133	10	levels	level	NOUN
easat-11010	133	11	,	,	PUNCT
easat-11010	133	12	and	and	CCONJ
easat-11010	133	13	weaker	weak	ADJ
easat-11010	133	14	coefficients	coefficient	NOUN
easat-11010	133	15	highlighted	highlight	VERB
easat-11010	133	16	the	the	DET
easat-11010	133	17	importance	importance	NOUN
easat-11010	133	18	of	of	ADP
easat-11010	133	19	incorporating	incorporate	VERB
easat-11010	133	20	additional	additional	ADJ
easat-11010	133	21	external	external	ADJ
easat-11010	133	22	factors	factor	NOUN
easat-11010	133	23	into	into	ADP
easat-11010	133	24	the	the	DET
easat-11010	133	25	models	model	NOUN
easat-11010	133	26	.	.	PUNCT
easat-11010	134	1	these	these	DET
easat-11010	134	2	insights	insight	NOUN
easat-11010	134	3	are	be	AUX
easat-11010	134	4	critical	critical	ADJ
easat-11010	134	5	for	for	ADP
easat-11010	134	6	effectively	effectively	ADV
easat-11010	134	7	managing	manage	VERB
easat-11010	134	8	periods	period	NOUN
easat-11010	134	9	of	of	ADP
easat-11010	134	10	high	high	ADJ
easat-11010	134	11	uncertainty	uncertainty	NOUN
easat-11010	134	12	,	,	PUNCT
easat-11010	134	13	optimizing	optimize	VERB
easat-11010	134	14	grid	grid	NOUN
easat-11010	134	15	operations	operation	NOUN
easat-11010	134	16	,	,	PUNCT
easat-11010	134	17	and	and	CCONJ
easat-11010	134	18	improving	improve	VERB
easat-11010	134	19	forecasting	forecasting	NOUN
easat-11010	134	20	accuracy	accuracy	NOUN
easat-11010	134	21	.	.	PUNCT
easat-11010	135	1	figure	figure	NOUN
easat-11010	135	2	1	1	NUM
easat-11010	135	3	.	.	PUNCT
easat-11010	136	1	a	a	X
easat-11010	136	2	)	)	PUNCT
easat-11010	136	3	phi	phi	ADJ
easat-11010	136	4	mean	mean	NOUN
easat-11010	136	5	value	value	NOUN
easat-11010	136	6	from	from	ADP
easat-11010	136	7	posterior	posterior	ADJ
easat-11010	136	8	dist	dist	NOUN
easat-11010	136	9	.	.	PUNCT
easat-11010	137	1	b	b	X
easat-11010	137	2	)	)	PUNCT
easat-11010	137	3	sigma2	sigma2	NOUN
easat-11010	137	4	mean	mean	NOUN
easat-11010	137	5	value	value	NOUN
easat-11010	137	6	from	from	ADP
easat-11010	137	7	posterior	posterior	ADJ
easat-11010	137	8	dist	dist	NOUN
easat-11010	137	9	.	.	PUNCT
easat-11010	138	1	the	the	DET
easat-11010	138	2	results	result	NOUN
easat-11010	138	3	revealed	reveal	VERB
easat-11010	138	4	how	how	SCONJ
easat-11010	138	5	electricity	electricity	NOUN
easat-11010	138	6	usage	usage	NOUN
easat-11010	138	7	changes	change	NOUN
easat-11010	138	8	over	over	ADP
easat-11010	138	9	the	the	DET
easat-11010	138	10	day	day	NOUN
easat-11010	138	11	.	.	PUNCT
easat-11010	139	1	during	during	ADP
easat-11010	139	2	peak	peak	NOUN
easat-11010	139	3	hours	hour	NOUN
easat-11010	139	4	,	,	PUNCT
easat-11010	139	5	there	there	PRON
easat-11010	139	6	were	be	VERB
easat-11010	139	7	clear	clear	ADJ
easat-11010	139	8	and	and	CCONJ
easat-11010	139	9	consistent	consistent	ADJ
easat-11010	139	10	patterns	pattern	NOUN
easat-11010	139	11	,	,	PUNCT
easat-11010	139	12	reflecting	reflect	VERB
easat-11010	139	13	predictable	predictable	ADJ
easat-11010	139	14	behavior	behavior	NOUN
easat-11010	139	15	.	.	PUNCT
easat-11010	140	1	in	in	ADP
easat-11010	140	2	contrast	contrast	NOUN
easat-11010	140	3	,	,	PUNCT
easat-11010	140	4	off	off	ADP
easat-11010	140	5	-	-	PUNCT
easat-11010	140	6	peak	peak	NOUN
easat-11010	140	7	hours	hour	NOUN
easat-11010	140	8	showed	show	VERB
easat-11010	140	9	more	more	ADJ
easat-11010	140	10	variation	variation	NOUN
easat-11010	140	11	,	,	PUNCT
easat-11010	140	12	indicating	indicate	VERB
easat-11010	140	13	less	less	ADV
easat-11010	140	14	predictable	predictable	ADJ
easat-11010	140	15	and	and	CCONJ
easat-11010	140	16	more	more	ADV
easat-11010	140	17	scattered	scatter	VERB
easat-11010	140	18	usage	usage	NOUN
easat-11010	140	19	.	.	PUNCT
easat-11010	141	1	the	the	DET
easat-11010	141	2	ar	ar	PROPN
easat-11010	141	3	(	(	PUNCT
easat-11010	141	4	1	1	NUM
easat-11010	141	5	)	)	PUNCT
easat-11010	141	6	model	model	NOUN
easat-11010	141	7	worked	work	VERB
easat-11010	141	8	well	well	ADV
easat-11010	141	9	when	when	SCONJ
easat-11010	141	10	autocorrelation	autocorrelation	NOUN
easat-11010	141	11	was	be	AUX
easat-11010	141	12	high	high	ADJ
easat-11010	141	13	,	,	PUNCT
easat-11010	141	14	but	but	CCONJ
easat-11010	141	15	it	it	PRON
easat-11010	141	16	might	might	AUX
easat-11010	141	17	need	need	VERB
easat-11010	141	18	to	to	PART
easat-11010	141	19	be	be	AUX
easat-11010	141	20	enhanced	enhance	VERB
easat-11010	141	21	or	or	CCONJ
easat-11010	141	22	additional	additional	ADJ
easat-11010	141	23	variables	variable	NOUN
easat-11010	141	24	,	,	PUNCT
easat-11010	141	25	such	such	ADJ
easat-11010	141	26	as	as	ADP
easat-11010	141	27	weather	weather	NOUN
easat-11010	141	28	or	or	CCONJ
easat-11010	141	29	day	day	NOUN
easat-11010	141	30	type	type	NOUN
easat-11010	141	31	,	,	PUNCT
easat-11010	141	32	added	add	VERB
easat-11010	141	33	to	to	PART
easat-11010	141	34	improve	improve	VERB
easat-11010	141	35	accuracy	accuracy	NOUN
easat-11010	141	36	during	during	ADP
easat-11010	141	37	periods	period	NOUN
easat-11010	141	38	of	of	ADP
easat-11010	141	39	increased	increase	VERB
easat-11010	141	40	unpredictability	unpredictability	NOUN
easat-11010	141	41	.	.	PUNCT
easat-11010	142	1	all	all	DET
easat-11010	142	2	things	thing	NOUN
easat-11010	142	3	considered	consider	VERB
easat-11010	142	4	,	,	PUNCT
easat-11010	142	5	the	the	DET
easat-11010	142	6	bayesian	bayesian	NOUN
easat-11010	142	7	ar	ar	NOUN
easat-11010	142	8	(	(	PUNCT
easat-11010	142	9	1	1	X
easat-11010	142	10	)	)	PUNCT
easat-11010	142	11	kalman	kalman	NOUN
easat-11010	142	12	filter	filter	NOUN
easat-11010	142	13	provided	provide	VERB
easat-11010	142	14	grid	grid	NOUN
easat-11010	142	15	managers	manager	NOUN
easat-11010	142	16	and	and	CCONJ
easat-11010	142	17	energy	energy	NOUN
easat-11010	142	18	providers	provider	NOUN
easat-11010	142	19	with	with	ADP
easat-11010	142	20	valuable	valuable	ADJ
easat-11010	142	21	data	datum	NOUN
easat-11010	142	22	to	to	PART
easat-11010	142	23	enhance	enhance	VERB
easat-11010	142	24	operational	operational	ADJ
easat-11010	142	25	resilience	resilience	NOUN
easat-11010	142	26	,	,	PUNCT
easat-11010	142	27	control	control	NOUN
easat-11010	142	28	load	load	NOUN
easat-11010	142	29	distribution	distribution	NOUN
easat-11010	142	30	,	,	PUNCT
easat-11010	142	31	and	and	CCONJ
easat-11010	142	32	improve	improve	VERB
easat-11010	142	33	demand	demand	NOUN
easat-11010	142	34	forecasting	forecasting	NOUN
easat-11010	142	35	,	,	PUNCT
easat-11010	142	36	particularly	particularly	ADV
easat-11010	142	37	when	when	SCONJ
easat-11010	142	38	temporal	temporal	ADJ
easat-11010	142	39	dependencies	dependency	NOUN
easat-11010	142	40	were	be	AUX
easat-11010	142	41	significant	significant	ADJ
easat-11010	142	42	.	.	PUNCT
easat-11010	143	1	the	the	DET
easat-11010	143	2	mean	mean	ADJ
easat-11010	143	3	values	value	NOUN
easat-11010	143	4	taken	take	VERB
easat-11010	143	5	from	from	ADP
easat-11010	143	6	the	the	DET
easat-11010	143	7	posterior	posterior	ADJ
easat-11010	143	8	distribution	distribution	NOUN
easat-11010	143	9	over	over	ADP
easat-11010	143	10	a	a	DET
easat-11010	143	11	24	24	NUM
easat-11010	143	12	-	-	PUNCT
easat-11010	143	13	hour	hour	NOUN
easat-11010	143	14	period	period	NOUN
easat-11010	143	15	are	be	AUX
easat-11010	143	16	displayed	display	VERB
easat-11010	143	17	in	in	ADP
easat-11010	143	18	figures	figure	NOUN
easat-11010	143	19	1	1	NUM
easat-11010	143	20	.	.	PUNCT
easat-11010	144	1	a	a	PRON
easat-11010	144	2	and	and	CCONJ
easat-11010	144	3	4	4	NUM
easat-11010	144	4	.	.	X
easat-11010	144	5	b.	b.	NOUN
easat-11010	144	6	before	before	ADP
easat-11010	144	7	using	use	VERB
easat-11010	144	8	the	the	DET
easat-11010	144	9	posterior	posterior	ADJ
easat-11010	144	10	distribution	distribution	NOUN
easat-11010	144	11	in	in	ADP
easat-11010	144	12	the	the	DET
easat-11010	144	13	kalman	kalman	PROPN
easat-11010	144	14	filter	filter	PROPN
easat-11010	144	15	state	state	PROPN
easat-11010	144	16	estimate	estimate	NOUN
easat-11010	144	17	,	,	PUNCT
easat-11010	144	18	it	it	PRON
easat-11010	144	19	was	be	AUX
easat-11010	144	20	worth	worth	ADJ
easat-11010	144	21	investigating	investigate	VERB
easat-11010	144	22	its	its	PRON
easat-11010	144	23	distribution	distribution	NOUN
easat-11010	144	24	with	with	ADP
easat-11010	144	25	trace	trace	NOUN
easat-11010	144	26	plots	plot	NOUN
easat-11010	144	27	as	as	ADV
easat-11010	144	28	well	well	ADV
easat-11010	144	29	as	as	ADP
easat-11010	144	30	density	density	NOUN
easat-11010	144	31	plots	plot	NOUN
easat-11010	144	32	.	.	PUNCT
easat-11010	145	1	thus	thus	ADV
easat-11010	145	2	,	,	PUNCT
easat-11010	145	3	the	the	DET
easat-11010	145	4	trace	trace	NOUN
easat-11010	145	5	plot	plot	NOUN
easat-11010	145	6	of	of	ADP
easat-11010	145	7	phi	phi	NOUN
easat-11010	145	8	shows	show	VERB
easat-11010	145	9	the	the	DET
easat-11010	145	10	evolution	evolution	NOUN
easat-11010	145	11	of	of	ADP
easat-11010	145	12	the	the	DET
easat-11010	145	13	parameter	parameter	NOUN
easat-11010	145	14	over	over	ADP
easat-11010	145	15	mcmc	mcmc	PROPN
easat-11010	145	16	iterations	iterations	PROPN
easat-11010	145	17	.	.	PUNCT
easat-11010	146	1	846	846	NUM
easat-11010	146	2	edelweiss	edelweiss	PROPN
easat-11010	146	3	applied	apply	VERB
easat-11010	146	4	science	science	NOUN
easat-11010	146	5	and	and	CCONJ
easat-11010	146	6	technology	technology	NOUN
easat-11010	146	7	issn	issn	PROPN
easat-11010	146	8	:	:	PUNCT
easat-11010	146	9	2576	2576	NUM
easat-11010	146	10	-	-	SYM
easat-11010	146	11	8484	8484	NUM
easat-11010	146	12	vol	vol	NOUN
easat-11010	146	13	.	.	PROPN
easat-11010	147	1	9	9	NUM
easat-11010	147	2	,	,	PUNCT
easat-11010	147	3	no	no	INTJ
easat-11010	147	4	.	.	NOUN
easat-11010	147	5	11	11	NUM
easat-11010	147	6	:	:	PUNCT
easat-11010	147	7	839	839	NUM
easat-11010	147	8	-	-	NUM
easat-11010	147	9	852	852	NUM
easat-11010	147	10	,	,	PUNCT
easat-11010	147	11	2025	2025	NUM
easat-11010	147	12	doi	doi	NOUN
easat-11010	147	13	:	:	PUNCT
easat-11010	147	14	10.55214/2576	10.55214/2576	NUM
easat-11010	147	15	-	-	SYM
easat-11010	147	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	147	17	©	©	ADP
easat-11010	147	18	2025	2025	NUM
easat-11010	147	19	by	by	ADP
easat-11010	147	20	the	the	DET
easat-11010	147	21	authors	author	NOUN
easat-11010	147	22	;	;	PUNCT
easat-11010	147	23	licensee	licensee	PROPN
easat-11010	147	24	learning	learn	VERB
easat-11010	147	25	gate	gate	NOUN
easat-11010	147	26	figure	figure	NOUN
easat-11010	147	27	2	2	NUM
easat-11010	147	28	.	.	PUNCT
easat-11010	148	1	traceplot	traceplot	NOUN
easat-11010	148	2	and	and	CCONJ
easat-11010	148	3	density	density	NOUN
easat-11010	148	4	plot	plot	NOUN
easat-11010	148	5	illustration	illustration	NOUN
easat-11010	148	6	for	for	ADP
easat-11010	148	7	phi	phi	NOUN
easat-11010	148	8	as	as	ADV
easat-11010	148	9	well	well	ADV
easat-11010	148	10	as	as	ADP
easat-11010	148	11	sigma	sigma	PROPN
easat-11010	148	12	square	square	ADJ
easat-11010	148	13	values	value	NOUN
easat-11010	148	14	per	per	ADP
easat-11010	148	15	hour	hour	NOUN
easat-11010	148	16	.	.	PUNCT
easat-11010	149	1	figure	figure	NOUN
easat-11010	149	2	2	2	NUM
easat-11010	149	3	.	.	PUNCT
easat-11010	150	1	as	as	SCONJ
easat-11010	150	2	shown	show	VERB
easat-11010	150	3	,	,	PUNCT
easat-11010	150	4	they	they	PRON
easat-11010	150	5	were	be	AUX
easat-11010	150	6	all	all	ADV
easat-11010	150	7	well	well	ADV
easat-11010	150	8	-	-	PUNCT
easat-11010	150	9	behaved	behave	VERB
easat-11010	150	10	traces	trace	NOUN
easat-11010	150	11	and	and	CCONJ
easat-11010	150	12	exhibited	exhibit	VERB
easat-11010	150	13	random	random	ADJ
easat-11010	150	14	walk	walk	NOUN
easat-11010	150	15	patterns	pattern	NOUN
easat-11010	150	16	,	,	PUNCT
easat-11010	150	17	which	which	PRON
easat-11010	150	18	indicated	indicate	VERB
easat-11010	150	19	good	good	ADJ
easat-11010	150	20	mixing	mixing	NOUN
easat-11010	150	21	and	and	CCONJ
easat-11010	150	22	that	that	SCONJ
easat-11010	150	23	the	the	DET
easat-11010	150	24	sampler	sampler	NOUN
easat-11010	150	25	should	should	AUX
easat-11010	150	26	lead	lead	VERB
easat-11010	150	27	to	to	ADP
easat-11010	150	28	exploring	explore	VERB
easat-11010	150	29	the	the	DET
easat-11010	150	30	parameter	parameter	NOUN
easat-11010	150	31	space	space	NOUN
easat-11010	150	32	adequately	adequately	ADV
easat-11010	150	33	.	.	PUNCT
easat-11010	151	1	since	since	SCONJ
easat-11010	151	2	they	they	PRON
easat-11010	151	3	were	be	AUX
easat-11010	151	4	all	all	ADV
easat-11010	151	5	stable	stable	ADJ
easat-11010	151	6	and	and	CCONJ
easat-11010	151	7	showed	show	VERB
easat-11010	151	8	no	no	DET
easat-11010	151	9	trends	trend	NOUN
easat-11010	151	10	,	,	PUNCT
easat-11010	151	11	this	this	PRON
easat-11010	151	12	suggested	suggest	VERB
easat-11010	151	13	convergence	convergence	NOUN
easat-11010	151	14	and	and	CCONJ
easat-11010	151	15	reliable	reliable	ADJ
easat-11010	151	16	estimates	estimate	NOUN
easat-11010	151	17	.	.	PUNCT
easat-11010	152	1	furthermore	furthermore	ADV
easat-11010	152	2	,	,	PUNCT
easat-11010	152	3	the	the	DET
easat-11010	152	4	density	density	NOUN
easat-11010	152	5	plot	plot	NOUN
easat-11010	152	6	for	for	ADP
easat-11010	152	7	phi	phi	NOUN
easat-11010	152	8	showed	show	VERB
easat-11010	152	9	the	the	DET
easat-11010	152	10	posterior	posterior	ADJ
easat-11010	152	11	distribution	distribution	NOUN
easat-11010	152	12	,	,	PUNCT
easat-11010	152	13	with	with	ADP
easat-11010	152	14	a	a	DET
easat-11010	152	15	narrower	narrow	ADJ
easat-11010	152	16	peak	peak	NOUN
easat-11010	152	17	indicating	indicate	VERB
easat-11010	152	18	more	more	ADV
easat-11010	152	19	precise	precise	ADJ
easat-11010	152	20	estimates	estimate	NOUN
easat-11010	152	21	and	and	CCONJ
easat-11010	152	22	a	a	DET
easat-11010	152	23	wider	wide	ADJ
easat-11010	152	24	peak	peak	NOUN
easat-11010	152	25	reflecting	reflect	VERB
easat-11010	152	26	higher	high	ADJ
easat-11010	152	27	uncertainty	uncertainty	NOUN
easat-11010	152	28	.	.	PUNCT
easat-11010	153	1	a	a	DET
easat-11010	153	2	clear	clear	ADJ
easat-11010	153	3	peak	peak	NOUN
easat-11010	153	4	suggested	suggest	VERB
easat-11010	153	5	the	the	DET
easat-11010	153	6	most	most	ADV
easat-11010	153	7	probable	probable	ADJ
easat-11010	153	8	value	value	NOUN
easat-11010	153	9	of	of	ADP
easat-11010	153	10	phi	phi	NOUN
easat-11010	153	11	,	,	PUNCT
easat-11010	153	12	which	which	PRON
easat-11010	153	13	was	be	AUX
easat-11010	153	14	the	the	DET
easat-11010	153	15	case	case	NOUN
easat-11010	153	16	for	for	ADP
easat-11010	153	17	most	most	ADJ
easat-11010	153	18	of	of	ADP
easat-11010	153	19	them	they	PRON
easat-11010	153	20	,	,	PUNCT
easat-11010	153	21	while	while	SCONJ
easat-11010	153	22	its	its	PRON
easat-11010	153	23	spread	spread	NOUN
easat-11010	153	24	shows	show	VERB
easat-11010	153	25	the	the	DET
easat-11010	153	26	uncertainty	uncertainty	NOUN
easat-11010	153	27	in	in	ADP
easat-11010	153	28	the	the	DET
easat-11010	153	29	estimate	estimate	NOUN
easat-11010	153	30	.	.	PUNCT
easat-11010	154	1	similarly	similarly	ADV
easat-11010	154	2	,	,	PUNCT
easat-11010	154	3	the	the	DET
easat-11010	154	4	trace	trace	NOUN
easat-11010	154	5	plot	plot	NOUN
easat-11010	154	6	for	for	ADP
easat-11010	154	7	sigma²	sigma²	NOUN
easat-11010	154	8	showed	show	VERB
easat-11010	154	9	random	random	ADJ
easat-11010	154	10	fluctuations	fluctuation	NOUN
easat-11010	154	11	without	without	ADP
easat-11010	154	12	trends	trend	NOUN
easat-11010	154	13	,	,	PUNCT
easat-11010	154	14	indicating	indicate	VERB
easat-11010	154	15	good	good	ADJ
easat-11010	154	16	mixing	mixing	NOUN
easat-11010	154	17	,	,	PUNCT
easat-11010	154	18	and	and	CCONJ
easat-11010	154	19	had	have	VERB
easat-11010	154	20	a	a	DET
easat-11010	154	21	narrow	narrow	ADJ
easat-11010	154	22	peak	peak	NOUN
easat-11010	154	23	.	.	PUNCT
easat-11010	155	1	4.1	4.1	NUM
easat-11010	155	2	.	.	PUNCT
easat-11010	156	1	kalman	kalman	NOUN
easat-11010	156	2	filter	filter	NOUN
easat-11010	156	3	analysis	analysis	NOUN
easat-11010	156	4	of	of	ADP
easat-11010	156	5	electricity	electricity	NOUN
easat-11010	156	6	consumption	consumption	NOUN
easat-11010	156	7	:	:	PUNCT
easat-11010	156	8	a	a	DET
easat-11010	156	9	detailed	detailed	ADJ
easat-11010	156	10	explanation	explanation	NOUN
easat-11010	156	11	an	an	DET
easat-11010	156	12	indispensable	indispensable	ADJ
easat-11010	156	13	tool	tool	NOUN
easat-11010	156	14	for	for	ADP
easat-11010	156	15	determining	determine	VERB
easat-11010	156	16	the	the	DET
easat-11010	156	17	actual	actual	ADJ
easat-11010	156	18	level	level	NOUN
easat-11010	156	19	of	of	ADP
easat-11010	156	20	electricity	electricity	NOUN
easat-11010	156	21	usage	usage	NOUN
easat-11010	156	22	is	be	AUX
easat-11010	156	23	the	the	DET
easat-11010	156	24	kalman	kalman	PROPN
easat-11010	156	25	filter	filter	NOUN
easat-11010	156	26	,	,	PUNCT
easat-11010	156	27	particularly	particularly	ADV
easat-11010	156	28	in	in	ADP
easat-11010	156	29	cases	case	NOUN
easat-11010	156	30	where	where	SCONJ
easat-11010	156	31	the	the	DET
easat-11010	156	32	data	data	NOUN
easat-11010	156	33	is	be	AUX
easat-11010	156	34	ambiguous	ambiguous	ADJ
easat-11010	156	35	or	or	CCONJ
easat-11010	156	36	noisy	noisy	ADJ
easat-11010	156	37	.	.	PUNCT
easat-11010	157	1	by	by	ADP
easat-11010	157	2	taking	take	VERB
easat-11010	157	3	into	into	ADP
easat-11010	157	4	account	account	NOUN
easat-11010	157	5	both	both	PRON
easat-11010	157	6	past	past	ADP
easat-11010	157	7	forecasts	forecast	NOUN
easat-11010	157	8	and	and	CCONJ
easat-11010	157	9	observed	observed	ADJ
easat-11010	157	10	data	datum	NOUN
easat-11010	157	11	,	,	PUNCT
easat-11010	157	12	it	it	PRON
easat-11010	157	13	continuously	continuously	ADV
easat-11010	157	14	improves	improve	VERB
easat-11010	157	15	estimations	estimation	NOUN
easat-11010	157	16	of	of	ADP
easat-11010	157	17	the	the	DET
easat-11010	157	18	underlying	underlie	VERB
easat-11010	157	19	state	state	NOUN
easat-11010	157	20	.	.	PUNCT
easat-11010	158	1	the	the	DET
easat-11010	158	2	performance	performance	NOUN
easat-11010	158	3	of	of	ADP
easat-11010	158	4	the	the	DET
easat-11010	158	5	kalman	kalman	NOUN
easat-11010	158	6	filter	filter	NOUN
easat-11010	158	7	over	over	ADP
easat-11010	158	8	a	a	DET
easat-11010	158	9	24	24	NUM
easat-11010	158	10	-	-	PUNCT
easat-11010	158	11	hour	hour	NOUN
easat-11010	158	12	period	period	NOUN
easat-11010	158	13	is	be	AUX
easat-11010	158	14	examined	examine	VERB
easat-11010	158	15	in	in	ADP
easat-11010	158	16	this	this	DET
easat-11010	158	17	investigation	investigation	NOUN
easat-11010	158	18	by	by	ADP
easat-11010	158	19	applying	apply	VERB
easat-11010	158	20	it	it	PRON
easat-11010	158	21	to	to	ADP
easat-11010	158	22	actual	actual	ADJ
easat-11010	158	23	hourly	hourly	ADJ
easat-11010	158	24	electricity	electricity	NOUN
easat-11010	158	25	usage	usage	NOUN
easat-11010	158	26	data	datum	NOUN
easat-11010	158	27	,	,	PUNCT
easat-11010	158	28	as	as	SCONJ
easat-11010	158	29	seen	see	VERB
easat-11010	158	30	in	in	ADP
easat-11010	158	31	table	table	NOUN
easat-11010	158	32	2	2	NUM
easat-11010	158	33	.	.	NOUN
easat-11010	158	34	847	847	NUM
easat-11010	158	35	edelweiss	edelweiss	PROPN
easat-11010	158	36	applied	apply	VERB
easat-11010	158	37	science	science	NOUN
easat-11010	158	38	and	and	CCONJ
easat-11010	158	39	technology	technology	NOUN
easat-11010	158	40	issn	issn	PROPN
easat-11010	158	41	:	:	PUNCT
easat-11010	158	42	2576	2576	NUM
easat-11010	158	43	-	-	SYM
easat-11010	158	44	8484	8484	NUM
easat-11010	158	45	vol	vol	NOUN
easat-11010	158	46	.	.	PROPN
easat-11010	159	1	9	9	NUM
easat-11010	159	2	,	,	PUNCT
easat-11010	159	3	no	no	INTJ
easat-11010	159	4	.	.	NOUN
easat-11010	159	5	11	11	NUM
easat-11010	159	6	:	:	PUNCT
easat-11010	159	7	839	839	NUM
easat-11010	159	8	-	-	NUM
easat-11010	159	9	852	852	NUM
easat-11010	159	10	,	,	PUNCT
easat-11010	159	11	2025	2025	NUM
easat-11010	159	12	doi	doi	NOUN
easat-11010	159	13	:	:	PUNCT
easat-11010	159	14	10.55214/2576	10.55214/2576	NUM
easat-11010	159	15	-	-	SYM
easat-11010	159	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	159	17	©	©	ADP
easat-11010	159	18	2025	2025	NUM
easat-11010	159	19	by	by	ADP
easat-11010	159	20	the	the	DET
easat-11010	159	21	authors	author	NOUN
easat-11010	159	22	;	;	PUNCT
easat-11010	159	23	licensee	licensee	PROPN
easat-11010	159	24	learning	learn	VERB
easat-11010	159	25	gate	gate	NOUN
easat-11010	159	26	table	table	NOUN
easat-11010	159	27	2	2	NUM
easat-11010	159	28	.	.	X
easat-11010	159	29	summary	summary	NOUN
easat-11010	159	30	output	output	NOUN
easat-11010	159	31	of	of	ADP
easat-11010	159	32	the	the	DET
easat-11010	159	33	bayesian	bayesian	NOUN
easat-11010	159	34	kalman	kalman	PROPN
easat-11010	159	35	filter	filter	PROPN
easat-11010	159	36	.	.	PUNCT
easat-11010	160	1	hour	hour	NOUN
easat-11010	160	2	time	time	NOUN
easat-11010	160	3	convergence	convergence	NOUN
easat-11010	160	4	observed	observe	VERB
easat-11010	160	5	load	load	NOUN
easat-11010	160	6	prediction	prediction	NOUN
easat-11010	160	7	load	load	NOUN
easat-11010	160	8	kalman	kalman	NOUN
easat-11010	160	9	gain	gain	VERB
easat-11010	160	10	error	error	NOUN
easat-11010	160	11	covariance	covariance	NOUN
easat-11010	160	12	residuals	residual	VERB
easat-11010	160	13	1	1	NUM
easat-11010	160	14	5	5	NUM
easat-11010	160	15	1116.99	1116.99	NUM
easat-11010	160	16	1010.5456	1010.5456	NOUN
easat-11010	160	17	0.622	0.622	NUM
easat-11010	160	18	2713.5484	2713.5484	NOUN
easat-11010	160	19	106.4444	106.4444	NUM
easat-11010	160	20	2	2	NUM
easat-11010	160	21	6	6	NUM
easat-11010	160	22	1176.63	1176.63	NUM
easat-11010	160	23	1049.3009	1049.3009	NUM
easat-11010	160	24	0.5906	0.5906	NUM
easat-11010	160	25	3131.1345	3131.1345	NUM
easat-11010	160	26	127.3291	127.3291	NUM
easat-11010	160	27	3	3	NUM
easat-11010	160	28	6	6	NUM
easat-11010	160	29	1167.39	1167.39	NUM
easat-11010	160	30	1073.4791	1073.4791	NUM
easat-11010	160	31	0.6255	0.6255	NUM
easat-11010	160	32	3850.5173	3850.5173	NUM
easat-11010	160	33	93.9109	93.9109	NUM
easat-11010	160	34	4	4	NUM
easat-11010	160	35	5	5	NUM
easat-11010	160	36	1164.765	1164.765	NUM
easat-11010	160	37	1088.0967	1088.0967	NUM
easat-11010	161	1	0.6244	0.6244	NUM
easat-11010	161	2	4522.8805	4522.8805	NUM
easat-11010	161	3	76.6683	76.6683	NUM
easat-11010	161	4	5	5	NUM
easat-11010	161	5	6	6	NUM
easat-11010	161	6	1190.49	1190.49	NUM
easat-11010	161	7	1096.0235	1096.0235	NUM
easat-11010	161	8	0.5784	0.5784	NUM
easat-11010	161	9	5580.256	5580.256	NUM
easat-11010	161	10	94.4665	94.4665	NUM
easat-11010	161	11	6	6	NUM
easat-11010	161	12	6	6	NUM
easat-11010	161	13	1154.7774	1154.7774	NUM
easat-11010	161	14	1060.2747	1060.2747	NUM
easat-11010	161	15	0.5602	0.5602	NUM
easat-11010	161	16	5547.5257	5547.5257	NUM
easat-11010	161	17	94.5027	94.5027	NUM
easat-11010	161	18	7	7	NUM
easat-11010	161	19	6	6	NUM
easat-11010	161	20	1179.9774	1179.9774	NUM
easat-11010	161	21	1084.0228	1084.0228	NUM
easat-11010	161	22	0.5996	0.5996	NUM
easat-11010	161	23	6091.4368	6091.4368	NUM
easat-11010	161	24	95.9546	95.9546	NUM
easat-11010	161	25	8	8	NUM
easat-11010	161	26	6	6	NUM
easat-11010	161	27	1154.16	1154.16	NUM
easat-11010	161	28	1051.1724	1051.1724	NUM
easat-11010	161	29	0.6016	0.6016	NUM
easat-11010	161	30	5422.6017	5422.6017	NUM
easat-11010	161	31	102.9876	102.9876	NUM
easat-11010	161	32	9	9	NUM
easat-11010	161	33	6	6	NUM
easat-11010	161	34	1159.62	1159.62	NUM
easat-11010	161	35	1040.8104	1040.8104	NUM
easat-11010	162	1	0.6202	0.6202	NUM
easat-11010	162	2	4460.057	4460.057	NUM
easat-11010	162	3	118.8096	118.8096	NUM
easat-11010	162	4	10	10	NUM
easat-11010	162	5	5	5	NUM
easat-11010	162	6	1150.8	1150.8	NUM
easat-11010	162	7	1042.9467	1042.9467	NUM
easat-11010	162	8	0.6205	0.6205	NUM
easat-11010	163	1	4311.2771	4311.2771	PRON
easat-11010	163	2	107.8533	107.8533	NUM
easat-11010	163	3	11	11	NUM
easat-11010	163	4	7	7	NUM
easat-11010	163	5	1150.17	1150.17	NUM
easat-11010	163	6	1004.7106	1004.7106	NUM
easat-11010	163	7	0.5922	0.5922	NUM
easat-11010	163	8	3336.1508	3336.1508	NUM
easat-11010	163	9	145.4594	145.4594	NUM
easat-11010	163	10	12	12	NUM
easat-11010	163	11	6	6	NUM
easat-11010	163	12	1179.36	1179.36	NUM
easat-11010	163	13	1021.9977	1021.9977	NUM
easat-11010	163	14	0.624	0.624	NUM
easat-11010	163	15	3272.0486	3272.0486	NUM
easat-11010	163	16	157.3623	157.3623	NUM
easat-11010	163	17	13	13	NUM
easat-11010	163	18	5	5	NUM
easat-11010	163	19	1161.048	1161.048	NUM
easat-11010	163	20	973.8374	973.8374	NUM
easat-11010	163	21	0.5993	0.5993	NUM
easat-11010	163	22	2939.6201	2939.6201	VERB
easat-11010	163	23	187.2106	187.2106	NUM
easat-11010	163	24	14	14	NUM
easat-11010	163	25	6	6	NUM
easat-11010	163	26	1186.29	1186.29	NUM
easat-11010	163	27	996.8078	996.8078	NUM
easat-11010	163	28	0.6152	0.6152	NUM
easat-11010	163	29	2668.878	2668.878	NUM
easat-11010	163	30	189.4822	189.4822	NUM
easat-11010	163	31	15	15	NUM
easat-11010	163	32	5	5	NUM
easat-11010	163	33	1137.528	1137.528	NUM
easat-11010	163	34	971.7136	971.7136	NUM
easat-11010	163	35	0.6373	0.6373	NUM
easat-11010	164	1	2695.3352	2695.3352	NUM
easat-11010	164	2	165.8144	165.8144	NUM
easat-11010	164	3	16	16	NUM
easat-11010	164	4	6	6	NUM
easat-11010	164	5	1144.71	1144.71	NUM
easat-11010	164	6	997.3896	997.3896	NUM
easat-11010	164	7	0.6548	0.6548	NUM
easat-11010	164	8	2971.2608	2971.2608	NUM
easat-11010	164	9	147.3204	147.3204	NUM
easat-11010	164	10	17	17	NUM
easat-11010	164	11	5	5	NUM
easat-11010	164	12	1145.34	1145.34	NUM
easat-11010	164	13	990.1312	990.1312	NUM
easat-11010	164	14	0.6132	0.6132	NUM
easat-11010	164	15	2945.9253	2945.9253	NUM
easat-11010	164	16	155.2088	155.2088	NUM
easat-11010	164	17	18	18	NUM
easat-11010	164	18	5	5	NUM
easat-11010	164	19	1194.606	1194.606	NUM
easat-11010	164	20	1023.0315	1023.0315	NUM
easat-11010	164	21	0.6375	0.6375	NUM
easat-11010	164	22	2771.4142	2771.4142	NUM
easat-11010	164	23	171.5745	171.5745	NUM
easat-11010	164	24	19	19	NUM
easat-11010	164	25	6	6	NUM
easat-11010	164	26	1163.19	1163.19	NUM
easat-11010	164	27	1005.9839	1005.9839	NUM
easat-11010	164	28	0.6232	0.6232	NUM
easat-11010	164	29	2896.3575	2896.3575	NUM
easat-11010	164	30	157.2061	157.2061	NUM
easat-11010	164	31	20	20	NUM
easat-11010	164	32	5	5	NUM
easat-11010	164	33	1179.486	1179.486	NUM
easat-11010	164	34	1063.15	1063.15	NUM
easat-11010	164	35	0.6386	0.6386	NUM
easat-11010	164	36	3140.748	3140.748	NUM
easat-11010	164	37	116.336	116.336	NUM
easat-11010	164	38	21	21	NUM
easat-11010	164	39	5	5	NUM
easat-11010	164	40	1187.466	1187.466	NUM
easat-11010	164	41	1073.185	1073.185	NUM
easat-11010	164	42	0.6411	0.6411	NUM
easat-11010	164	43	3080.769	3080.769	PROPN
easat-11010	164	44	114.281	114.281	NUM
easat-11010	164	45	22	22	NUM
easat-11010	164	46	6	6	NUM
easat-11010	164	47	1166.76	1166.76	NUM
easat-11010	164	48	1027.1909	1027.1909	NUM
easat-11010	164	49	0.6013	0.6013	NUM
easat-11010	164	50	2972.2881	2972.2881	NUM
easat-11010	164	51	139.5691	139.5691	NUM
easat-11010	164	52	23	23	NUM
easat-11010	164	53	5	5	NUM
easat-11010	164	54	1147.608	1147.608	NUM
easat-11010	164	55	1025.5494	1025.5494	NUM
easat-11010	164	56	0.5952	0.5952	NUM
easat-11010	164	57	3377.6932	3377.6932	NUM
easat-11010	164	58	122.0586	122.0586	NUM
easat-11010	164	59	24	24	NUM
easat-11010	164	60	6	6	NUM
easat-11010	164	61	1125.18	1125.18	NUM
easat-11010	164	62	1017.5682	1017.5682	NUM
easat-11010	164	63	0.5635	0.5635	NUM
easat-11010	164	64	3094.4716	3094.4716	NOUN
easat-11010	164	65	107.6118	107.6118	NUM
easat-11010	164	66	the	the	DET
easat-11010	164	67	kalman	kalman	PROPN
easat-11010	164	68	filter	filter	PROPN
easat-11010	164	69	predicted	predict	VERB
easat-11010	164	70	a	a	DET
easat-11010	164	71	marginally	marginally	ADV
easat-11010	164	72	lower	low	ADJ
easat-11010	164	73	value	value	NOUN
easat-11010	164	74	of	of	ADP
easat-11010	164	75	1010.55	1010.55	NUM
easat-11010	164	76	at	at	ADP
easat-11010	164	77	hour	hour	NOUN
easat-11010	164	78	1	1	NUM
easat-11010	164	79	than	than	ADP
easat-11010	164	80	the	the	DET
easat-11010	164	81	measured	measured	ADJ
easat-11010	164	82	load	load	NOUN
easat-11010	164	83	of	of	ADP
easat-11010	164	84	1116.99	1116.99	NUM
easat-11010	164	85	.	.	PUNCT
easat-11010	165	1	this	this	DET
easat-11010	165	2	initial	initial	ADJ
easat-11010	165	3	disparity	disparity	NOUN
easat-11010	165	4	arose	arise	VERB
easat-11010	165	5	because	because	SCONJ
easat-11010	165	6	the	the	DET
easat-11010	165	7	filter	filter	NOUN
easat-11010	165	8	makes	make	VERB
easat-11010	165	9	a	a	DET
easat-11010	165	10	cautious	cautious	ADJ
easat-11010	165	11	forecast	forecast	NOUN
easat-11010	165	12	at	at	ADP
easat-11010	165	13	first	first	ADV
easat-11010	165	14	,	,	PUNCT
easat-11010	165	15	since	since	SCONJ
easat-11010	165	16	it	it	PRON
easat-11010	165	17	had	have	VERB
easat-11010	165	18	little	little	ADJ
easat-11010	165	19	prior	prior	ADJ
easat-11010	165	20	knowledge	knowledge	NOUN
easat-11010	165	21	.	.	PUNCT
easat-11010	166	1	the	the	DET
easat-11010	166	2	kalman	kalman	PROPN
easat-11010	166	3	gain	gain	NOUN
easat-11010	166	4	of	of	ADP
easat-11010	166	5	0.622	0.622	NUM
easat-11010	166	6	indicated	indicate	VERB
easat-11010	166	7	cautious	cautious	ADJ
easat-11010	166	8	confidence	confidence	NOUN
easat-11010	166	9	in	in	ADP
easat-11010	166	10	the	the	DET
easat-11010	166	11	first	first	ADJ
easat-11010	166	12	observation	observation	NOUN
easat-11010	166	13	,	,	PUNCT
easat-11010	166	14	while	while	SCONJ
easat-11010	166	15	still	still	ADV
easat-11010	166	16	leaving	leave	VERB
easat-11010	166	17	room	room	NOUN
easat-11010	166	18	for	for	ADP
easat-11010	166	19	doubt	doubt	NOUN
easat-11010	166	20	about	about	ADP
easat-11010	166	21	the	the	DET
easat-11010	166	22	data	datum	NOUN
easat-11010	166	23	.	.	PUNCT
easat-11010	167	1	this	this	DET
easat-11010	167	2	initial	initial	ADJ
easat-11010	167	3	uncertainty	uncertainty	NOUN
easat-11010	167	4	was	be	AUX
easat-11010	167	5	further	far	ADV
easat-11010	167	6	highlighted	highlight	VERB
easat-11010	167	7	by	by	ADP
easat-11010	167	8	the	the	DET
easat-11010	167	9	substantial	substantial	ADJ
easat-11010	167	10	error	error	NOUN
easat-11010	167	11	covariance	covariance	NOUN
easat-11010	167	12	of	of	ADP
easat-11010	167	13	2713.55	2713.55	NUM
easat-11010	167	14	.	.	PUNCT
easat-11010	168	1	however	however	ADV
easat-11010	168	2	,	,	PUNCT
easat-11010	168	3	as	as	SCONJ
easat-11010	168	4	time	time	NOUN
easat-11010	168	5	progressed	progress	VERB
easat-11010	168	6	,	,	PUNCT
easat-11010	168	7	the	the	DET
easat-11010	168	8	kalman	kalman	NOUN
easat-11010	168	9	filter	filter	NOUN
easat-11010	168	10	gradually	gradually	ADV
easat-11010	168	11	refined	refine	VERB
easat-11010	168	12	its	its	PRON
easat-11010	168	13	understanding	understanding	NOUN
easat-11010	168	14	of	of	ADP
easat-11010	168	15	the	the	DET
easat-11010	168	16	system	system	NOUN
easat-11010	168	17	,	,	PUNCT
easat-11010	168	18	using	use	VERB
easat-11010	168	19	this	this	DET
easat-11010	168	20	initial	initial	ADJ
easat-11010	168	21	observation	observation	NOUN
easat-11010	168	22	as	as	ADP
easat-11010	168	23	a	a	DET
easat-11010	168	24	starting	starting	NOUN
easat-11010	168	25	point	point	NOUN
easat-11010	168	26	to	to	PART
easat-11010	168	27	improve	improve	VERB
easat-11010	168	28	its	its	PRON
easat-11010	168	29	future	future	ADJ
easat-11010	168	30	predictions	prediction	NOUN
easat-11010	168	31	.	.	PUNCT
easat-11010	169	1	as	as	SCONJ
easat-11010	169	2	more	more	ADJ
easat-11010	169	3	observations	observation	NOUN
easat-11010	169	4	were	be	AUX
easat-11010	169	5	analyzed	analyze	VERB
easat-11010	169	6	,	,	PUNCT
easat-11010	169	7	the	the	DET
easat-11010	169	8	kalman	kalman	PROPN
easat-11010	169	9	filter	filter	NOUN
easat-11010	169	10	adjusted	adjust	VERB
easat-11010	169	11	its	its	PRON
easat-11010	169	12	state	state	NOUN
easat-11010	169	13	prediction	prediction	NOUN
easat-11010	169	14	,	,	PUNCT
easat-11010	169	15	making	make	VERB
easat-11010	169	16	it	it	PRON
easat-11010	169	17	increasingly	increasingly	ADV
easat-11010	169	18	accurate	accurate	ADJ
easat-11010	169	19	.	.	PUNCT
easat-11010	170	1	by	by	ADP
easat-11010	170	2	hour	hour	NOUN
easat-11010	170	3	6	6	NUM
easat-11010	170	4	,	,	PUNCT
easat-11010	170	5	this	this	DET
easat-11010	170	6	refinement	refinement	NOUN
easat-11010	170	7	was	be	AUX
easat-11010	170	8	evident	evident	ADJ
easat-11010	170	9	,	,	PUNCT
easat-11010	170	10	with	with	ADP
easat-11010	170	11	the	the	DET
easat-11010	170	12	prediction	prediction	NOUN
easat-11010	170	13	state	state	NOUN
easat-11010	170	14	reaching	reach	VERB
easat-11010	170	15	1060.27	1060.27	NUM
easat-11010	170	16	compared	compare	VERB
easat-11010	170	17	to	to	ADP
easat-11010	170	18	the	the	DET
easat-11010	170	19	observed	observe	VERB
easat-11010	170	20	load	load	NOUN
easat-11010	170	21	of	of	ADP
easat-11010	170	22	1154.78	1154.78	NUM
easat-11010	170	23	,	,	PUNCT
easat-11010	170	24	showing	show	VERB
easat-11010	170	25	a	a	DET
easat-11010	170	26	clear	clear	ADJ
easat-11010	170	27	improvement	improvement	NOUN
easat-11010	170	28	in	in	ADP
easat-11010	170	29	precision	precision	NOUN
easat-11010	170	30	.	.	PUNCT
easat-11010	171	1	the	the	DET
easat-11010	171	2	fact	fact	NOUN
easat-11010	171	3	that	that	SCONJ
easat-11010	171	4	the	the	DET
easat-11010	171	5	kalman	kalman	NOUN
easat-11010	171	6	gain	gain	NOUN
easat-11010	171	7	had	have	AUX
easat-11010	171	8	dropped	drop	VERB
easat-11010	171	9	to	to	ADP
easat-11010	171	10	0.5602	0.5602	NUM
easat-11010	171	11	suggests	suggest	VERB
easat-11010	171	12	that	that	SCONJ
easat-11010	171	13	the	the	DET
easat-11010	171	14	filter	filter	NOUN
easat-11010	171	15	was	be	AUX
easat-11010	171	16	updating	update	VERB
easat-11010	171	17	its	its	PRON
easat-11010	171	18	state	state	NOUN
easat-11010	171	19	more	more	ADV
easat-11010	171	20	consistently	consistently	ADV
easat-11010	171	21	by	by	ADP
easat-11010	171	22	utilizing	utilize	VERB
easat-11010	171	23	both	both	DET
easat-11010	171	24	historical	historical	ADJ
easat-11010	171	25	data	datum	NOUN
easat-11010	171	26	and	and	CCONJ
easat-11010	171	27	the	the	DET
easat-11010	171	28	most	most	ADV
easat-11010	171	29	current	current	ADJ
easat-11010	171	30	observation	observation	NOUN
easat-11010	171	31	.	.	PUNCT
easat-11010	172	1	as	as	SCONJ
easat-11010	172	2	the	the	DET
easat-11010	172	3	filter	filter	NOUN
easat-11010	172	4	improved	improve	VERB
easat-11010	172	5	its	its	PRON
easat-11010	172	6	understanding	understanding	NOUN
easat-11010	172	7	of	of	ADP
easat-11010	172	8	the	the	DET
easat-11010	172	9	system	system	NOUN
easat-11010	172	10	,	,	PUNCT
easat-11010	172	11	the	the	DET
easat-11010	172	12	error	error	NOUN
easat-11010	172	13	covariance	covariance	NOUN
easat-11010	172	14	also	also	ADV
easat-11010	172	15	decreased	decrease	VERB
easat-11010	172	16	,	,	PUNCT
easat-11010	172	17	going	go	VERB
easat-11010	172	18	from	from	ADP
easat-11010	172	19	2713.55	2713.55	NUM
easat-11010	172	20	in	in	ADP
easat-11010	172	21	hour	hour	NOUN
easat-11010	172	22	1	1	NUM
easat-11010	172	23	to	to	ADP
easat-11010	172	24	5547.53	5547.53	NUM
easat-11010	172	25	in	in	ADP
easat-11010	172	26	hour	hour	NOUN
easat-11010	172	27	6	6	NUM
easat-11010	172	28	.	.	NOUN
easat-11010	172	29	848	848	NUM
easat-11010	172	30	edelweiss	edelweiss	PROPN
easat-11010	172	31	applied	apply	VERB
easat-11010	172	32	science	science	NOUN
easat-11010	172	33	and	and	CCONJ
easat-11010	172	34	technology	technology	NOUN
easat-11010	172	35	issn	issn	PROPN
easat-11010	172	36	:	:	PUNCT
easat-11010	172	37	2576	2576	NUM
easat-11010	172	38	-	-	SYM
easat-11010	172	39	8484	8484	NUM
easat-11010	172	40	vol	vol	NOUN
easat-11010	172	41	.	.	PROPN
easat-11010	173	1	9	9	NUM
easat-11010	173	2	,	,	PUNCT
easat-11010	173	3	no	no	INTJ
easat-11010	173	4	.	.	NOUN
easat-11010	173	5	11	11	NUM
easat-11010	173	6	:	:	PUNCT
easat-11010	173	7	839	839	NUM
easat-11010	173	8	-	-	NUM
easat-11010	173	9	852	852	NUM
easat-11010	173	10	,	,	PUNCT
easat-11010	173	11	2025	2025	NUM
easat-11010	173	12	doi	doi	NOUN
easat-11010	173	13	:	:	PUNCT
easat-11010	173	14	10.55214/2576	10.55214/2576	NUM
easat-11010	173	15	-	-	SYM
easat-11010	173	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	173	17	©	©	ADP
easat-11010	173	18	2025	2025	NUM
easat-11010	173	19	by	by	ADP
easat-11010	173	20	the	the	DET
easat-11010	173	21	authors	author	NOUN
easat-11010	173	22	;	;	PUNCT
easat-11010	173	23	licensee	licensee	PROPN
easat-11010	173	24	learning	learn	VERB
easat-11010	173	25	gate	gate	PROPN
easat-11010	173	26	figure	figure	NOUN
easat-11010	173	27	3	3	NUM
easat-11010	173	28	.	.	PUNCT
easat-11010	173	29	observed	observe	VERB
easat-11010	173	30	load	load	NOUN
easat-11010	173	31	against	against	ADP
easat-11010	173	32	state	state	NOUN
easat-11010	173	33	prediction	prediction	NOUN
easat-11010	173	34	values	value	NOUN
easat-11010	173	35	.	.	PUNCT
easat-11010	174	1	the	the	DET
easat-11010	174	2	kalman	kalman	PROPN
easat-11010	174	3	filter	filter	NOUN
easat-11010	174	4	is	be	AUX
easat-11010	174	5	continuously	continuously	ADV
easat-11010	174	6	adjusted	adjust	VERB
easat-11010	174	7	throughout	throughout	ADP
easat-11010	174	8	the	the	DET
easat-11010	174	9	day	day	NOUN
easat-11010	174	10	.	.	PUNCT
easat-11010	175	1	at	at	ADP
easat-11010	175	2	hour	hour	NOUN
easat-11010	175	3	14	14	NUM
easat-11010	175	4	,	,	PUNCT
easat-11010	175	5	the	the	DET
easat-11010	175	6	predicted	predict	VERB
easat-11010	175	7	state	state	NOUN
easat-11010	175	8	was	be	AUX
easat-11010	175	9	996.81	996.81	NUM
easat-11010	175	10	,	,	PUNCT
easat-11010	175	11	the	the	DET
easat-11010	175	12	measured	measure	VERB
easat-11010	175	13	load	load	NOUN
easat-11010	175	14	was	be	AUX
easat-11010	175	15	1186.29	1186.29	NUM
easat-11010	175	16	,	,	PUNCT
easat-11010	175	17	and	and	CCONJ
easat-11010	175	18	the	the	DET
easat-11010	175	19	residual	residual	NOUN
easat-11010	175	20	between	between	ADP
easat-11010	175	21	the	the	DET
easat-11010	175	22	predicted	predict	VERB
easat-11010	175	23	and	and	CCONJ
easat-11010	175	24	observed	observed	ADJ
easat-11010	175	25	values	value	NOUN
easat-11010	175	26	was	be	AUX
easat-11010	175	27	189.48	189.48	NUM
easat-11010	175	28	.	.	PUNCT
easat-11010	176	1	by	by	ADP
easat-11010	176	2	assigning	assign	VERB
easat-11010	176	3	more	more	ADJ
easat-11010	176	4	weight	weight	NOUN
easat-11010	176	5	to	to	ADP
easat-11010	176	6	the	the	DET
easat-11010	176	7	most	most	ADV
easat-11010	176	8	recent	recent	ADJ
easat-11010	176	9	observation	observation	NOUN
easat-11010	176	10	(	(	PUNCT
easat-11010	176	11	as	as	SCONJ
easat-11010	176	12	indicated	indicate	VERB
easat-11010	176	13	by	by	ADP
easat-11010	176	14	the	the	DET
easat-11010	176	15	kalman	kalman	NOUN
easat-11010	176	16	gain	gain	NOUN
easat-11010	176	17	of	of	ADP
easat-11010	176	18	0.6152	0.6152	NUM
easat-11010	176	19	)	)	PUNCT
easat-11010	176	20	,	,	PUNCT
easat-11010	176	21	the	the	DET
easat-11010	176	22	filter	filter	NOUN
easat-11010	176	23	compensated	compensate	VERB
easat-11010	176	24	for	for	ADP
easat-11010	176	25	the	the	DET
easat-11010	176	26	larger	large	ADJ
easat-11010	176	27	residual	residual	NOUN
easat-11010	176	28	,	,	PUNCT
easat-11010	176	29	which	which	PRON
easat-11010	176	30	reflected	reflect	VERB
easat-11010	176	31	a	a	DET
easat-11010	176	32	significant	significant	ADJ
easat-11010	176	33	variation	variation	NOUN
easat-11010	176	34	in	in	ADP
easat-11010	176	35	consumption	consumption	NOUN
easat-11010	176	36	.	.	PUNCT
easat-11010	177	1	these	these	DET
easat-11010	177	2	residuals	residual	NOUN
easat-11010	177	3	decreased	decrease	VERB
easat-11010	177	4	as	as	SCONJ
easat-11010	177	5	the	the	DET
easat-11010	177	6	filter	filter	NOUN
easat-11010	177	7	processed	process	VERB
easat-11010	177	8	more	more	ADJ
easat-11010	177	9	data	datum	NOUN
easat-11010	177	10	,	,	PUNCT
easat-11010	177	11	indicating	indicate	VERB
easat-11010	177	12	an	an	DET
easat-11010	177	13	increase	increase	NOUN
easat-11010	177	14	in	in	ADP
easat-11010	177	15	accuracy	accuracy	NOUN
easat-11010	177	16	.	.	PUNCT
easat-11010	178	1	the	the	DET
easat-11010	178	2	lines	line	NOUN
easat-11010	178	3	were	be	AUX
easat-11010	178	4	parallel	parallel	ADJ
easat-11010	178	5	,	,	PUNCT
easat-11010	178	6	suggesting	suggest	VERB
easat-11010	178	7	a	a	DET
easat-11010	178	8	well	well	ADV
easat-11010	178	9	-	-	PUNCT
easat-11010	178	10	fitted	fit	VERB
easat-11010	178	11	estimated	estimate	VERB
easat-11010	178	12	model	model	NOUN
easat-11010	178	13	,	,	PUNCT
easat-11010	178	14	as	as	SCONJ
easat-11010	178	15	shown	show	VERB
easat-11010	178	16	in	in	ADP
easat-11010	178	17	figure	figure	NOUN
easat-11010	178	18	3	3	NUM
easat-11010	178	19	,	,	PUNCT
easat-11010	178	20	which	which	PRON
easat-11010	178	21	compared	compare	VERB
easat-11010	178	22	the	the	DET
easat-11010	178	23	observed	observe	VERB
easat-11010	178	24	dataset	dataset	NOUN
easat-11010	178	25	to	to	ADP
easat-11010	178	26	the	the	DET
easat-11010	178	27	state	state	NOUN
easat-11010	178	28	estimate	estimate	NOUN
easat-11010	178	29	from	from	ADP
easat-11010	178	30	the	the	DET
easat-11010	178	31	bayesian	bayesian	NOUN
easat-11010	178	32	kalman	kalman	NOUN
easat-11010	178	33	filter	filter	PROPN
easat-11010	178	34	.	.	PUNCT
easat-11010	179	1	5	5	X
easat-11010	179	2	.	.	X
easat-11010	179	3	dissection	dissection	NOUN
easat-11010	179	4	the	the	DET
easat-11010	179	5	filter	filter	NOUN
easat-11010	179	6	provided	provide	VERB
easat-11010	179	7	the	the	DET
easat-11010	179	8	initial	initial	ADJ
easat-11010	179	9	observation	observation	NOUN
easat-11010	179	10	with	with	ADP
easat-11010	179	11	a	a	DET
easat-11010	179	12	substantial	substantial	ADJ
easat-11010	179	13	amount	amount	NOUN
easat-11010	179	14	of	of	ADP
easat-11010	179	15	weight	weight	NOUN
easat-11010	179	16	at	at	ADP
easat-11010	179	17	hour	hour	NOUN
easat-11010	179	18	1	1	NUM
easat-11010	179	19	,	,	PUNCT
easat-11010	179	20	as	as	SCONJ
easat-11010	179	21	indicated	indicate	VERB
easat-11010	179	22	by	by	ADP
easat-11010	179	23	the	the	DET
easat-11010	179	24	kalman	kalman	NOUN
easat-11010	179	25	gain	gain	NOUN
easat-11010	179	26	of	of	ADP
easat-11010	179	27	0.622	0.622	NUM
easat-11010	179	28	.	.	PUNCT
easat-11010	180	1	the	the	DET
easat-11010	180	2	kalman	kalman	NOUN
easat-11010	180	3	gain	gain	VERB
easat-11010	180	4	varied	varied	ADJ
easat-11010	180	5	from	from	ADP
easat-11010	180	6	0.5635	0.5635	NUM
easat-11010	180	7	at	at	ADP
easat-11010	180	8	hour	hour	NOUN
easat-11010	180	9	24	24	NUM
easat-11010	180	10	to	to	ADP
easat-11010	180	11	0.6373	0.6373	NUM
easat-11010	180	12	at	at	ADP
easat-11010	180	13	hour	hour	NOUN
easat-11010	180	14	15	15	NUM
easat-11010	180	15	when	when	SCONJ
easat-11010	180	16	more	more	ADJ
easat-11010	180	17	data	data	NOUN
easat-11010	180	18	points	point	NOUN
easat-11010	180	19	were	be	AUX
easat-11010	180	20	added	add	VERB
easat-11010	180	21	.	.	PUNCT
easat-11010	181	1	this	this	DET
easat-11010	181	2	range	range	NOUN
easat-11010	181	3	demonstrated	demonstrate	VERB
easat-11010	181	4	how	how	SCONJ
easat-11010	181	5	the	the	DET
easat-11010	181	6	filter	filter	NOUN
easat-11010	181	7	modifies	modify	VERB
easat-11010	181	8	its	its	PRON
easat-11010	181	9	dependence	dependence	NOUN
easat-11010	181	10	on	on	ADP
easat-11010	181	11	fresh	fresh	ADJ
easat-11010	181	12	observations	observation	NOUN
easat-11010	181	13	in	in	ADP
easat-11010	181	14	response	response	NOUN
easat-11010	181	15	to	to	ADP
easat-11010	181	16	the	the	DET
easat-11010	181	17	system	system	NOUN
easat-11010	181	18	's	's	PART
easat-11010	181	19	volatility	volatility	NOUN
easat-11010	181	20	.	.	PUNCT
easat-11010	182	1	the	the	DET
easat-11010	182	2	kalman	kalman	PROPN
easat-11010	182	3	gain	gain	NOUN
easat-11010	182	4	increased	increase	VERB
easat-11010	182	5	during	during	ADP
easat-11010	182	6	hours	hour	NOUN
easat-11010	182	7	with	with	ADP
easat-11010	182	8	greater	great	ADJ
easat-11010	182	9	variation	variation	NOUN
easat-11010	182	10	,	,	PUNCT
easat-11010	182	11	such	such	ADJ
easat-11010	182	12	as	as	ADP
easat-11010	182	13	hour	hour	NOUN
easat-11010	182	14	14	14	NUM
easat-11010	182	15	,	,	PUNCT
easat-11010	182	16	giving	give	VERB
easat-11010	182	17	the	the	DET
easat-11010	182	18	current	current	ADJ
easat-11010	182	19	data	datum	NOUN
easat-11010	182	20	point	point	VERB
easat-11010	182	21	more	more	ADJ
easat-11010	182	22	weight	weight	NOUN
easat-11010	182	23	.	.	PUNCT
easat-11010	183	1	this	this	PRON
easat-11010	183	2	ensured	ensure	VERB
easat-11010	183	3	that	that	SCONJ
easat-11010	183	4	the	the	DET
easat-11010	183	5	filter	filter	NOUN
easat-11010	183	6	would	would	AUX
easat-11010	183	7	swiftly	swiftly	ADV
easat-11010	183	8	adjust	adjust	VERB
easat-11010	183	9	to	to	ADP
easat-11010	183	10	major	major	ADJ
easat-11010	183	11	system	system	NOUN
easat-11010	183	12	changes	change	NOUN
easat-11010	183	13	.	.	PUNCT
easat-11010	184	1	over	over	ADP
easat-11010	184	2	time	time	NOUN
easat-11010	184	3	,	,	PUNCT
easat-11010	184	4	the	the	DET
easat-11010	184	5	error	error	NOUN
easat-11010	184	6	covariance	covariance	NOUN
easat-11010	184	7	also	also	ADV
easat-11010	184	8	evolved	evolve	VERB
easat-11010	184	9	,	,	PUNCT
easat-11010	184	10	reflecting	reflect	VERB
easat-11010	184	11	changes	change	NOUN
easat-11010	184	12	in	in	ADP
easat-11010	184	13	the	the	DET
easat-11010	184	14	level	level	NOUN
easat-11010	184	15	of	of	ADP
easat-11010	184	16	uncertainty	uncertainty	NOUN
easat-11010	184	17	.	.	PUNCT
easat-11010	185	1	at	at	ADP
easat-11010	185	2	hour	hour	NOUN
easat-11010	185	3	1	1	NUM
easat-11010	185	4	,	,	PUNCT
easat-11010	185	5	the	the	DET
easat-11010	185	6	error	error	NOUN
easat-11010	185	7	covariance	covariance	NOUN
easat-11010	185	8	was	be	AUX
easat-11010	185	9	2713.55	2713.55	NUM
easat-11010	185	10	,	,	PUNCT
easat-11010	185	11	indicating	indicate	VERB
easat-11010	185	12	significant	significant	ADJ
easat-11010	185	13	uncertainty	uncertainty	NOUN
easat-11010	185	14	in	in	ADP
easat-11010	185	15	the	the	DET
easat-11010	185	16	initial	initial	ADJ
easat-11010	185	17	estimates	estimate	NOUN
easat-11010	185	18	.	.	PUNCT
easat-11010	186	1	however	however	ADV
easat-11010	186	2	,	,	PUNCT
easat-11010	186	3	849	849	NUM
easat-11010	186	4	edelweiss	edelweiss	PROPN
easat-11010	186	5	applied	apply	VERB
easat-11010	186	6	science	science	NOUN
easat-11010	186	7	and	and	CCONJ
easat-11010	186	8	technology	technology	NOUN
easat-11010	186	9	issn	issn	PROPN
easat-11010	186	10	:	:	PUNCT
easat-11010	186	11	2576	2576	NUM
easat-11010	186	12	-	-	SYM
easat-11010	186	13	8484	8484	NUM
easat-11010	186	14	vol	vol	NOUN
easat-11010	186	15	.	.	PROPN
easat-11010	187	1	9	9	NUM
easat-11010	187	2	,	,	PUNCT
easat-11010	187	3	no	no	INTJ
easat-11010	187	4	.	.	NOUN
easat-11010	187	5	11	11	NUM
easat-11010	187	6	:	:	PUNCT
easat-11010	187	7	839	839	NUM
easat-11010	187	8	-	-	NUM
easat-11010	187	9	852	852	NUM
easat-11010	187	10	,	,	PUNCT
easat-11010	187	11	2025	2025	NUM
easat-11010	187	12	doi	doi	NOUN
easat-11010	187	13	:	:	PUNCT
easat-11010	187	14	10.55214/2576	10.55214/2576	NUM
easat-11010	187	15	-	-	SYM
easat-11010	187	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	187	17	©	©	ADP
easat-11010	187	18	2025	2025	NUM
easat-11010	187	19	by	by	ADP
easat-11010	187	20	the	the	DET
easat-11010	187	21	authors	author	NOUN
easat-11010	187	22	;	;	PUNCT
easat-11010	187	23	licensee	licensee	PROPN
easat-11010	187	24	learning	learning	NOUN
easat-11010	187	25	gate	gate	NOUN
easat-11010	187	26	as	as	SCONJ
easat-11010	187	27	the	the	DET
easat-11010	187	28	filter	filter	NOUN
easat-11010	187	29	processed	process	VERB
easat-11010	187	30	more	more	ADJ
easat-11010	187	31	observations	observation	NOUN
easat-11010	187	32	and	and	CCONJ
easat-11010	187	33	refined	refine	VERB
easat-11010	187	34	its	its	PRON
easat-11010	187	35	state	state	NOUN
easat-11010	187	36	estimates	estimate	NOUN
easat-11010	187	37	,	,	PUNCT
easat-11010	187	38	the	the	DET
easat-11010	187	39	uncertainty	uncertainty	NOUN
easat-11010	187	40	decreased	decrease	VERB
easat-11010	187	41	.	.	PUNCT
easat-11010	188	1	by	by	ADP
easat-11010	188	2	hour	hour	NOUN
easat-11010	188	3	24	24	NUM
easat-11010	188	4	,	,	PUNCT
easat-11010	188	5	the	the	DET
easat-11010	188	6	error	error	NOUN
easat-11010	188	7	covariance	covariance	NOUN
easat-11010	188	8	had	have	AUX
easat-11010	188	9	dropped	drop	VERB
easat-11010	188	10	to	to	ADP
easat-11010	188	11	3094.47	3094.47	NUM
easat-11010	188	12	,	,	PUNCT
easat-11010	188	13	demonstrating	demonstrate	VERB
easat-11010	188	14	that	that	SCONJ
easat-11010	188	15	the	the	DET
easat-11010	188	16	filter	filter	NOUN
easat-11010	188	17	’s	’s	PART
easat-11010	188	18	predictions	prediction	NOUN
easat-11010	188	19	had	have	AUX
easat-11010	188	20	become	become	VERB
easat-11010	188	21	more	more	ADV
easat-11010	188	22	reliable	reliable	ADJ
easat-11010	188	23	and	and	CCONJ
easat-11010	188	24	accurate	accurate	ADJ
easat-11010	188	25	.	.	PUNCT
easat-11010	189	1	the	the	DET
easat-11010	189	2	dissimilarities	dissimilarity	NOUN
easat-11010	189	3	observed	observe	VERB
easat-11010	189	4	in	in	ADP
easat-11010	189	5	the	the	DET
easat-11010	189	6	state	state	NOUN
easat-11010	189	7	estimate	estimate	NOUN
easat-11010	189	8	and	and	CCONJ
easat-11010	189	9	the	the	DET
easat-11010	189	10	actual	actual	ADJ
easat-11010	189	11	load	load	NOUN
easat-11010	189	12	,	,	PUNCT
easat-11010	189	13	known	know	VERB
easat-11010	189	14	as	as	ADP
easat-11010	189	15	the	the	DET
easat-11010	189	16	kalman	kalman	NOUN
easat-11010	189	17	filter	filter	NOUN
easat-11010	189	18	residuals	residual	NOUN
easat-11010	189	19	,	,	PUNCT
easat-11010	189	20	clarified	clarify	VERB
easat-11010	189	21	the	the	DET
easat-11010	189	22	extent	extent	NOUN
easat-11010	189	23	to	to	PART
easat-11010	189	24	which	which	PRON
easat-11010	189	25	the	the	DET
easat-11010	189	26	kalman	kalman	PROPN
easat-11010	189	27	filter	filter	PROPN
easat-11010	189	28	represented	represent	VERB
easat-11010	189	29	the	the	DET
easat-11010	189	30	system	system	NOUN
easat-11010	189	31	dynamics	dynamic	NOUN
easat-11010	189	32	.	.	PUNCT
easat-11010	190	1	for	for	ADP
easat-11010	190	2	instance	instance	NOUN
easat-11010	190	3	,	,	PUNCT
easat-11010	190	4	in	in	ADP
easat-11010	190	5	the	the	DET
easat-11010	190	6	early	early	ADJ
easat-11010	190	7	hours	hour	NOUN
easat-11010	190	8	,	,	PUNCT
easat-11010	190	9	say	say	VERB
easat-11010	190	10	hour	hour	NOUN
easat-11010	190	11	1	1	NUM
easat-11010	190	12	,	,	PUNCT
easat-11010	190	13	the	the	DET
easat-11010	190	14	residual	residual	ADJ
easat-11010	190	15	for	for	ADP
easat-11010	190	16	this	this	DET
easat-11010	190	17	time	time	NOUN
easat-11010	190	18	period	period	NOUN
easat-11010	190	19	was	be	AUX
easat-11010	190	20	noted	note	VERB
easat-11010	190	21	to	to	PART
easat-11010	190	22	be	be	AUX
easat-11010	190	23	106.44	106.44	NUM
easat-11010	190	24	,	,	PUNCT
easat-11010	190	25	which	which	PRON
easat-11010	190	26	indicated	indicate	VERB
easat-11010	190	27	a	a	DET
easat-11010	190	28	significant	significant	ADJ
easat-11010	190	29	difference	difference	NOUN
easat-11010	190	30	between	between	ADP
easat-11010	190	31	the	the	DET
easat-11010	190	32	estimated	estimate	VERB
easat-11010	190	33	and	and	CCONJ
easat-11010	190	34	actual	actual	ADJ
easat-11010	190	35	load	load	NOUN
easat-11010	190	36	observed	observe	VERB
easat-11010	190	37	in	in	ADP
easat-11010	190	38	that	that	DET
easat-11010	190	39	hour	hour	NOUN
easat-11010	190	40	.	.	PUNCT
easat-11010	191	1	however	however	ADV
easat-11010	191	2	,	,	PUNCT
easat-11010	191	3	as	as	SCONJ
easat-11010	191	4	expected	expect	VERB
easat-11010	191	5	,	,	PUNCT
easat-11010	191	6	the	the	DET
easat-11010	191	7	residuals	residual	NOUN
easat-11010	191	8	tended	tend	VERB
easat-11010	191	9	to	to	PART
easat-11010	191	10	decrease	decrease	VERB
easat-11010	191	11	over	over	ADP
easat-11010	191	12	time	time	NOUN
easat-11010	191	13	.	.	PUNCT
easat-11010	192	1	according	accord	VERB
easat-11010	192	2	to	to	ADP
easat-11010	192	3	this	this	DET
easat-11010	192	4	observation	observation	NOUN
easat-11010	192	5	,	,	PUNCT
easat-11010	192	6	the	the	DET
easat-11010	192	7	residual	residual	ADJ
easat-11010	192	8	dropped	drop	VERB
easat-11010	192	9	by	by	ADP
easat-11010	192	10	107.61	107.61	NUM
easat-11010	192	11	by	by	ADP
easat-11010	192	12	hour	hour	NOUN
easat-11010	192	13	24	24	NUM
easat-11010	192	14	,	,	PUNCT
easat-11010	192	15	implying	imply	VERB
easat-11010	192	16	that	that	SCONJ
easat-11010	192	17	the	the	DET
easat-11010	192	18	filter	filter	NOUN
easat-11010	192	19	had	have	AUX
easat-11010	192	20	managed	manage	VERB
easat-11010	192	21	to	to	PART
easat-11010	192	22	reduce	reduce	VERB
easat-11010	192	23	errors	error	NOUN
easat-11010	192	24	and	and	CCONJ
easat-11010	192	25	improve	improve	VERB
easat-11010	192	26	the	the	DET
easat-11010	192	27	accuracy	accuracy	NOUN
easat-11010	192	28	of	of	ADP
easat-11010	192	29	the	the	DET
easat-11010	192	30	system	system	NOUN
easat-11010	192	31	condition	condition	NOUN
easat-11010	192	32	estimates	estimate	VERB
easat-11010	192	33	.	.	PUNCT
easat-11010	193	1	it	it	PRON
easat-11010	193	2	was	be	AUX
easat-11010	193	3	this	this	DET
easat-11010	193	4	property	property	NOUN
easat-11010	193	5	of	of	ADP
easat-11010	193	6	the	the	DET
easat-11010	193	7	kalman	kalman	PROPN
easat-11010	193	8	filter	filter	NOUN
easat-11010	193	9	that	that	PRON
easat-11010	193	10	was	be	AUX
easat-11010	193	11	one	one	NUM
easat-11010	193	12	of	of	ADP
easat-11010	193	13	its	its	PRON
easat-11010	193	14	most	most	ADV
easat-11010	193	15	powerful	powerful	ADJ
easat-11010	193	16	features	feature	VERB
easat-11010	193	17	:	:	PUNCT
easat-11010	193	18	the	the	DET
easat-11010	193	19	ability	ability	NOUN
easat-11010	193	20	to	to	PART
easat-11010	193	21	smooth	smooth	VERB
easat-11010	193	22	observed	observed	ADJ
easat-11010	193	23	data	datum	NOUN
easat-11010	193	24	.	.	PUNCT
easat-11010	194	1	fluctuations	fluctuation	NOUN
easat-11010	194	2	in	in	ADP
easat-11010	194	3	electricity	electricity	NOUN
easat-11010	194	4	usage	usage	NOUN
easat-11010	194	5	could	could	AUX
easat-11010	194	6	be	be	AUX
easat-11010	194	7	caused	cause	VERB
easat-11010	194	8	by	by	ADP
easat-11010	194	9	a	a	DET
easat-11010	194	10	number	number	NOUN
easat-11010	194	11	of	of	ADP
easat-11010	194	12	factors	factor	NOUN
easat-11010	194	13	,	,	PUNCT
easat-11010	194	14	including	include	VERB
easat-11010	194	15	abrupt	abrupt	ADJ
easat-11010	194	16	increases	increase	NOUN
easat-11010	194	17	or	or	CCONJ
easat-11010	194	18	decreases	decrease	NOUN
easat-11010	194	19	in	in	ADP
easat-11010	194	20	demand	demand	NOUN
easat-11010	194	21	.	.	PUNCT
easat-11010	195	1	these	these	DET
easat-11010	195	2	variances	variance	NOUN
easat-11010	195	3	were	be	AUX
easat-11010	195	4	reduced	reduce	VERB
easat-11010	195	5	through	through	ADP
easat-11010	195	6	the	the	DET
easat-11010	195	7	kalman	kalman	PROPN
easat-11010	195	8	filter	filter	PROPN
easat-11010	195	9	,	,	PUNCT
easat-11010	195	10	which	which	PRON
easat-11010	195	11	provided	provide	VERB
easat-11010	195	12	a	a	DET
easat-11010	195	13	much	much	ADV
easat-11010	195	14	cleaner	clean	ADJ
easat-11010	195	15	estimation	estimation	NOUN
easat-11010	195	16	of	of	ADP
easat-11010	195	17	actual	actual	ADJ
easat-11010	195	18	consumption	consumption	NOUN
easat-11010	195	19	.	.	PUNCT
easat-11010	196	1	for	for	ADP
easat-11010	196	2	example	example	NOUN
easat-11010	196	3	,	,	PUNCT
easat-11010	196	4	in	in	ADP
easat-11010	196	5	hour	hour	NOUN
easat-11010	196	6	8	8	NUM
easat-11010	196	7	,	,	PUNCT
easat-11010	196	8	when	when	SCONJ
easat-11010	196	9	the	the	DET
easat-11010	196	10	measured	measured	ADJ
easat-11010	196	11	load	load	NOUN
easat-11010	196	12	spiked	spike	VERB
easat-11010	196	13	to	to	ADP
easat-11010	196	14	1154.16	1154.16	NUM
easat-11010	196	15	,	,	PUNCT
easat-11010	196	16	the	the	DET
easat-11010	196	17	estimate	estimate	NOUN
easat-11010	196	18	provided	provide	VERB
easat-11010	196	19	by	by	ADP
easat-11010	196	20	the	the	DET
easat-11010	196	21	filter	filter	NOUN
easat-11010	196	22	was	be	AUX
easat-11010	196	23	1051.17	1051.17	NUM
easat-11010	196	24	.	.	PUNCT
easat-11010	197	1	this	this	PRON
easat-11010	197	2	demonstrated	demonstrate	VERB
easat-11010	197	3	how	how	SCONJ
easat-11010	197	4	the	the	DET
easat-11010	197	5	filter	filter	NOUN
easat-11010	197	6	could	could	AUX
easat-11010	197	7	help	help	VERB
easat-11010	197	8	control	control	VERB
easat-11010	197	9	outliers	outlier	NOUN
easat-11010	197	10	and	and	CCONJ
easat-11010	197	11	provide	provide	VERB
easat-11010	197	12	a	a	DET
easat-11010	197	13	more	more	ADV
easat-11010	197	14	reliable	reliable	ADJ
easat-11010	197	15	picture	picture	NOUN
easat-11010	197	16	of	of	ADP
easat-11010	197	17	the	the	DET
easat-11010	197	18	underlying	underlie	VERB
easat-11010	197	19	trend	trend	NOUN
easat-11010	197	20	.	.	PUNCT
easat-11010	198	1	the	the	DET
easat-11010	198	2	kalman	kalman	PROPN
easat-11010	198	3	filter	filter	NOUN
easat-11010	198	4	estimate	estimate	NOUN
easat-11010	198	5	of	of	ADP
easat-11010	198	6	997.39	997.39	NUM
easat-11010	198	7	during	during	ADP
easat-11010	198	8	hour	hour	NOUN
easat-11010	198	9	16	16	NUM
easat-11010	198	10	,	,	PUNCT
easat-11010	198	11	while	while	SCONJ
easat-11010	198	12	the	the	DET
easat-11010	198	13	observed	observed	ADJ
easat-11010	198	14	load	load	NOUN
easat-11010	198	15	was	be	AUX
easat-11010	198	16	1144.71	1144.71	NUM
easat-11010	198	17	,	,	PUNCT
easat-11010	198	18	again	again	ADV
easat-11010	198	19	demonstrated	demonstrate	VERB
easat-11010	198	20	its	its	PRON
easat-11010	198	21	smoothing	smooth	VERB
easat-11010	198	22	capability	capability	NOUN
easat-11010	198	23	by	by	ADP
easat-11010	198	24	absorbing	absorb	VERB
easat-11010	198	25	small	small	ADJ
easat-11010	198	26	variations	variation	NOUN
easat-11010	198	27	in	in	ADP
easat-11010	198	28	the	the	DET
easat-11010	198	29	observed	observed	ADJ
easat-11010	198	30	load	load	NOUN
easat-11010	198	31	and	and	CCONJ
easat-11010	198	32	yielding	yield	VERB
easat-11010	198	33	an	an	DET
easat-11010	198	34	improved	improved	ADJ
easat-11010	198	35	state	state	NOUN
easat-11010	198	36	prediction	prediction	NOUN
easat-11010	198	37	.	.	PUNCT
easat-11010	199	1	with	with	ADP
easat-11010	199	2	the	the	DET
easat-11010	199	3	inclusion	inclusion	NOUN
easat-11010	199	4	of	of	ADP
easat-11010	199	5	the	the	DET
easat-11010	199	6	kalman	kalman	PROPN
easat-11010	199	7	filter	filter	NOUN
easat-11010	199	8	in	in	ADP
easat-11010	199	9	developing	develop	VERB
easat-11010	199	10	the	the	DET
easat-11010	199	11	markov	markov	NOUN
easat-11010	199	12	chain	chain	NOUN
easat-11010	199	13	monte	monte	PROPN
easat-11010	199	14	carlo	carlo	PROPN
easat-11010	199	15	results	result	NOUN
easat-11010	199	16	,	,	PUNCT
easat-11010	199	17	with	with	ADP
easat-11010	199	18	the	the	DET
easat-11010	199	19	use	use	NOUN
easat-11010	199	20	of	of	ADP
easat-11010	199	21	temporal	temporal	ADJ
easat-11010	199	22	structure	structure	NOUN
easat-11010	199	23	presented	present	VERB
easat-11010	199	24	in	in	ADP
easat-11010	199	25	mcmc	mcmc	PROPN
easat-11010	199	26	output	output	NOUN
easat-11010	199	27	for	for	ADP
easat-11010	199	28	correction	correction	NOUN
easat-11010	199	29	of	of	ADP
easat-11010	199	30	real	real	ADJ
easat-11010	199	31	-	-	PUNCT
easat-11010	199	32	time	time	NOUN
easat-11010	199	33	prediction	prediction	NOUN
easat-11010	199	34	,	,	PUNCT
easat-11010	199	35	the	the	DET
easat-11010	199	36	integration	integration	NOUN
easat-11010	199	37	yielded	yield	VERB
easat-11010	199	38	a	a	DET
easat-11010	199	39	better	well	ADJ
easat-11010	199	40	estimation	estimation	NOUN
easat-11010	199	41	of	of	ADP
easat-11010	199	42	power	power	NOUN
easat-11010	199	43	consumption	consumption	NOUN
easat-11010	199	44	.	.	PUNCT
easat-11010	200	1	some	some	DET
easat-11010	200	2	important	important	ADJ
easat-11010	200	3	parameters	parameter	NOUN
easat-11010	200	4	developed	develop	VERB
easat-11010	200	5	from	from	ADP
easat-11010	200	6	mcmc	mcmc	PROPN
easat-11010	200	7	were	be	AUX
easat-11010	200	8	𝜙phi	𝜙phi	ADJ
easat-11010	200	9	,	,	PUNCT
easat-11010	200	10	showing	show	VERB
easat-11010	200	11	autoregressive	autoregressive	ADJ
easat-11010	200	12	dependence	dependence	NOUN
easat-11010	200	13	between	between	ADP
easat-11010	200	14	hourly	hourly	ADJ
easat-11010	200	15	consumptions	consumption	NOUN
easat-11010	200	16	,	,	PUNCT
easat-11010	200	17	and	and	CCONJ
easat-11010	200	18	σ²	σ²	NOUN
easat-11010	200	19	sigma	sigma	PROPN
easat-11010	200	20	squared	square	VERB
easat-11010	200	21	,	,	PUNCT
easat-11010	200	22	depicting	depict	VERB
easat-11010	200	23	uncertainty	uncertainty	NOUN
easat-11010	200	24	within	within	ADP
easat-11010	200	25	the	the	DET
easat-11010	200	26	model	model	NOUN
easat-11010	200	27	.	.	PUNCT
easat-11010	201	1	these	these	PRON
easat-11010	201	2	helped	help	VERB
easat-11010	201	3	the	the	DET
easat-11010	201	4	correction	correction	NOUN
easat-11010	201	5	procedure	procedure	NOUN
easat-11010	201	6	of	of	ADP
easat-11010	201	7	the	the	DET
easat-11010	201	8	kalman	kalman	PROPN
easat-11010	201	9	filter	filter	PROPN
easat-11010	201	10	.	.	PUNCT
easat-11010	202	1	the	the	DET
easat-11010	202	2	𝜙	𝜙	PROPN
easat-11010	202	3	values	value	NOUN
easat-11010	202	4	in	in	ADP
easat-11010	202	5	the	the	DET
easat-11010	202	6	mcmc	mcmc	PROPN
easat-11010	202	7	results	result	NOUN
easat-11010	202	8	show	show	VERB
easat-11010	202	9	how	how	SCONJ
easat-11010	202	10	different	different	ADJ
easat-11010	202	11	the	the	DET
easat-11010	202	12	consumption	consumption	NOUN
easat-11010	202	13	is	be	AUX
easat-11010	202	14	at	at	ADP
easat-11010	202	15	one	one	NUM
easat-11010	202	16	hour	hour	NOUN
easat-11010	202	17	from	from	ADP
easat-11010	202	18	the	the	DET
easat-11010	202	19	hour	hour	NOUN
easat-11010	202	20	before	before	ADV
easat-11010	202	21	.	.	PUNCT
easat-11010	203	1	for	for	ADP
easat-11010	203	2	instance	instance	NOUN
easat-11010	203	3	,	,	PUNCT
easat-11010	203	4	the	the	DET
easat-11010	203	5	value	value	NOUN
easat-11010	203	6	𝜙	𝜙	NOUN
easat-11010	203	7	is	be	AUX
easat-11010	203	8	0.8004	0.8004	NUM
easat-11010	203	9	for	for	ADP
easat-11010	203	10	hour	hour	NOUN
easat-11010	203	11	1	1	NUM
easat-11010	203	12	,	,	PUNCT
easat-11010	203	13	indicating	indicate	VERB
easat-11010	203	14	strong	strong	ADJ
easat-11010	203	15	temporal	temporal	ADJ
easat-11010	203	16	correlation	correlation	NOUN
easat-11010	203	17	,	,	PUNCT
easat-11010	203	18	while	while	SCONJ
easat-11010	203	19	for	for	ADP
easat-11010	203	20	hour	hour	NOUN
easat-11010	203	21	24	24	NUM
easat-11010	203	22	,	,	PUNCT
easat-11010	203	23	it	it	PRON
easat-11010	203	24	increased	increase	VERB
easat-11010	203	25	to	to	ADP
easat-11010	203	26	0.8473	0.8473	NUM
easat-11010	203	27	,	,	PUNCT
easat-11010	203	28	which	which	PRON
easat-11010	203	29	means	mean	VERB
easat-11010	203	30	it	it	PRON
easat-11010	203	31	became	become	VERB
easat-11010	203	32	even	even	ADV
easat-11010	203	33	more	more	ADV
easat-11010	203	34	stable	stable	ADJ
easat-11010	203	35	.	.	PUNCT
easat-11010	204	1	the	the	DET
easat-11010	204	2	σ²	σ²	ADJ
easat-11010	204	3	values	value	NOUN
easat-11010	204	4	were	be	AUX
easat-11010	204	5	representative	representative	ADJ
easat-11010	204	6	of	of	ADP
easat-11010	204	7	uncertainty	uncertainty	NOUN
easat-11010	204	8	;	;	PUNCT
easat-11010	204	9	the	the	DET
easat-11010	204	10	lower	low	ADJ
easat-11010	204	11	this	this	DET
easat-11010	204	12	value	value	NOUN
easat-11010	204	13	,	,	PUNCT
easat-11010	204	14	the	the	PRON
easat-11010	204	15	greater	great	ADJ
easat-11010	204	16	the	the	DET
easat-11010	204	17	confidence	confidence	NOUN
easat-11010	204	18	in	in	ADP
easat-11010	204	19	the	the	DET
easat-11010	204	20	model	model	NOUN
easat-11010	204	21	's	's	PART
easat-11010	204	22	predictions	prediction	NOUN
easat-11010	204	23	.	.	PUNCT
easat-11010	205	1	this	this	PRON
easat-11010	205	2	allowed	allow	VERB
easat-11010	205	3	the	the	DET
easat-11010	205	4	kalman	kalman	PROPN
easat-11010	205	5	filter	filter	VERB
easat-11010	205	6	to	to	PART
easat-11010	205	7	correct	correct	VERB
easat-11010	205	8	its	its	PRON
easat-11010	205	9	predictions	prediction	NOUN
easat-11010	205	10	with	with	ADP
easat-11010	205	11	greater	great	ADJ
easat-11010	205	12	accuracy	accuracy	NOUN
easat-11010	205	13	,	,	PUNCT
easat-11010	205	14	depending	depend	VERB
easat-11010	205	15	on	on	ADP
easat-11010	205	16	how	how	SCONJ
easat-11010	205	17	well	well	ADV
easat-11010	205	18	the	the	DET
easat-11010	205	19	system	system	NOUN
easat-11010	205	20	could	could	AUX
easat-11010	205	21	be	be	AUX
easat-11010	205	22	predicted	predict	VERB
easat-11010	205	23	at	at	ADP
easat-11010	205	24	any	any	DET
easat-11010	205	25	given	give	VERB
easat-11010	205	26	time	time	NOUN
easat-11010	205	27	.	.	PUNCT
easat-11010	206	1	these	these	DET
easat-11010	206	2	values	value	NOUN
easat-11010	206	3	of	of	ADP
easat-11010	206	4	𝜙	𝜙	NOUN
easat-11010	206	5	and	and	CCONJ
easat-11010	206	6	𝜎²	𝜎²	PROPN
easat-11010	206	7	were	be	AUX
easat-11010	206	8	then	then	ADV
easat-11010	206	9	used	use	VERB
easat-11010	206	10	by	by	ADP
easat-11010	206	11	the	the	DET
easat-11010	206	12	kalman	kalman	PROPN
easat-11010	206	13	filter	filter	NOUN
easat-11010	206	14	to	to	PART
easat-11010	206	15	update	update	VERB
easat-11010	206	16	its	its	PRON
easat-11010	206	17	prediction	prediction	NOUN
easat-11010	206	18	of	of	ADP
easat-11010	206	19	the	the	DET
easat-11010	206	20	state	state	NOUN
easat-11010	206	21	.	.	PUNCT
easat-11010	207	1	indeed	indeed	ADV
easat-11010	207	2	,	,	PUNCT
easat-11010	207	3	for	for	ADP
easat-11010	207	4	highly	highly	ADV
easat-11010	207	5	uncertain	uncertain	ADJ
easat-11010	207	6	hours	hour	NOUN
easat-11010	207	7	σ²	σ²	NOUN
easat-11010	207	8	,	,	PUNCT
easat-11010	207	9	the	the	DET
easat-11010	207	10	observed	observe	VERB
easat-11010	207	11	data	data	NOUN
easat-11010	207	12	is	be	AUX
easat-11010	207	13	weighted	weight	VERB
easat-11010	207	14	higher	higher	ADV
easat-11010	207	15	,	,	PUNCT
easat-11010	207	16	while	while	SCONJ
easat-11010	207	17	during	during	ADP
easat-11010	207	18	hours	hour	NOUN
easat-11010	207	19	of	of	ADP
easat-11010	207	20	low	low	ADJ
easat-11010	207	21	uncertainty	uncertainty	NOUN
easat-11010	207	22	,	,	PUNCT
easat-11010	207	23	the	the	DET
easat-11010	207	24	filter	filter	NOUN
easat-11010	207	25	relies	rely	VERB
easat-11010	207	26	more	more	ADJ
easat-11010	207	27	on	on	ADP
easat-11010	207	28	its	its	PRON
easat-11010	207	29	predictions	prediction	NOUN
easat-11010	207	30	.	.	PUNCT
easat-11010	208	1	the	the	DET
easat-11010	208	2	adjustments	adjustment	NOUN
easat-11010	208	3	get	get	AUX
easat-11010	208	4	smoothed	smooth	VERB
easat-11010	208	5	out	out	ADP
easat-11010	208	6	as	as	ADP
easat-11010	208	7	the	the	DET
easat-11010	208	8	𝜙	𝜙	PROPN
easat-11010	208	9	values	value	NOUN
easat-11010	208	10	increase	increase	VERB
easat-11010	208	11	,	,	PUNCT
easat-11010	208	12	giving	give	VERB
easat-11010	208	13	more	more	ADJ
easat-11010	208	14	confidence	confidence	NOUN
easat-11010	208	15	to	to	ADP
easat-11010	208	16	long	long	ADJ
easat-11010	208	17	-	-	PUNCT
easat-11010	208	18	term	term	NOUN
easat-11010	208	19	trends	trend	NOUN
easat-11010	208	20	.	.	PUNCT
easat-11010	209	1	when	when	SCONJ
easat-11010	209	2	𝜙	𝜙	PROPN
easat-11010	209	3	decreases	decrease	VERB
easat-11010	209	4	,	,	PUNCT
easat-11010	209	5	the	the	DET
easat-11010	209	6	filter	filter	NOUN
easat-11010	209	7	is	be	AUX
easat-11010	209	8	more	more	ADV
easat-11010	209	9	responsive	responsive	ADJ
easat-11010	209	10	to	to	ADP
easat-11010	209	11	observed	observe	VERB
easat-11010	209	12	data	datum	NOUN
easat-11010	209	13	and	and	CCONJ
easat-11010	209	14	changes	change	NOUN
easat-11010	209	15	in	in	ADP
easat-11010	209	16	response	response	NOUN
easat-11010	209	17	to	to	PART
easat-11010	209	18	transient	transient	VERB
easat-11010	209	19	variations	variation	NOUN
easat-11010	209	20	rapidly	rapidly	ADV
easat-11010	209	21	.	.	PUNCT
easat-11010	210	1	we	we	PRON
easat-11010	210	2	created	create	VERB
easat-11010	210	3	a	a	DET
easat-11010	210	4	dynamic	dynamic	ADJ
easat-11010	210	5	model	model	NOUN
easat-11010	210	6	that	that	PRON
easat-11010	210	7	adjusts	adjust	VERB
easat-11010	210	8	in	in	ADP
easat-11010	210	9	real	real	ADJ
easat-11010	210	10	-	-	PUNCT
easat-11010	210	11	time	time	NOUN
easat-11010	210	12	while	while	SCONJ
easat-11010	210	13	maintaining	maintain	VERB
easat-11010	210	14	a	a	DET
easat-11010	210	15	strong	strong	ADJ
easat-11010	210	16	understanding	understanding	NOUN
easat-11010	210	17	of	of	ADP
easat-11010	210	18	patterns	pattern	NOUN
easat-11010	210	19	in	in	ADP
easat-11010	210	20	electricity	electricity	NOUN
easat-11010	210	21	usage	usage	NOUN
easat-11010	210	22	by	by	ADP
easat-11010	210	23	integrating	integrate	VERB
easat-11010	210	24	the	the	DET
easat-11010	210	25	mcmc	mcmc	PROPN
easat-11010	210	26	and	and	CCONJ
easat-11010	210	27	kalman	kalman	PROPN
easat-11010	210	28	filter	filter	PROPN
easat-11010	210	29	.	.	PUNCT
easat-11010	211	1	the	the	DET
easat-11010	211	2	mcmc	mcmc	PROPN
easat-11010	211	3	provided	provide	VERB
easat-11010	211	4	the	the	DET
easat-11010	211	5	kalman	kalman	NOUN
easat-11010	211	6	filter	filter	NOUN
easat-11010	211	7	with	with	ADP
easat-11010	211	8	the	the	DET
easat-11010	211	9	context	context	NOUN
easat-11010	211	10	it	it	PRON
easat-11010	211	11	needed	need	VERB
easat-11010	211	12	to	to	PART
easat-11010	211	13	modify	modify	VERB
easat-11010	211	14	its	its	PRON
easat-11010	211	15	estimates	estimate	NOUN
easat-11010	211	16	,	,	PUNCT
easat-11010	211	17	resulting	result	VERB
easat-11010	211	18	in	in	ADP
easat-11010	211	19	an	an	DET
easat-11010	211	20	accurate	accurate	ADJ
easat-11010	211	21	and	and	CCONJ
easat-11010	211	22	responsive	responsive	ADJ
easat-11010	211	23	model	model	NOUN
easat-11010	211	24	.	.	PUNCT
easat-11010	212	1	6	6	NUM
easat-11010	212	2	.	.	X
easat-11010	212	3	conclusion	conclusion	NOUN
easat-11010	212	4	only	only	ADV
easat-11010	212	5	by	by	ADP
easat-11010	212	6	integrating	integrate	VERB
easat-11010	212	7	the	the	DET
easat-11010	212	8	kalman	kalman	PROPN
easat-11010	212	9	filter	filter	PROPN
easat-11010	212	10	and	and	CCONJ
easat-11010	212	11	mcmc	mcmc	NOUN
easat-11010	212	12	analysis	analysis	NOUN
easat-11010	212	13	could	could	AUX
easat-11010	212	14	a	a	DET
easat-11010	212	15	better	well	ADJ
easat-11010	212	16	understanding	understanding	NOUN
easat-11010	212	17	of	of	ADP
easat-11010	212	18	the	the	DET
easat-11010	212	19	dynamics	dynamic	NOUN
easat-11010	212	20	of	of	ADP
easat-11010	212	21	electricity	electricity	NOUN
easat-11010	212	22	use	use	NOUN
easat-11010	212	23	be	be	AUX
easat-11010	212	24	acquired	acquire	VERB
easat-11010	212	25	.	.	PUNCT
easat-11010	213	1	considering	consider	VERB
easat-11010	213	2	some	some	DET
easat-11010	213	3	hours	hour	NOUN
easat-11010	213	4	had	have	AUX
easat-11010	213	5	strong	strong	ADJ
easat-11010	213	6	and	and	CCONJ
easat-11010	213	7	others	other	NOUN
easat-11010	213	8	weaker	weak	ADJ
easat-11010	213	9	𝜙	𝜙	PROPN
easat-11010	213	10	-values	-value	NOUN
easat-11010	213	11	showing	show	VERB
easat-11010	213	12	autoregressive	autoregressive	ADJ
easat-11010	213	13	correlations	correlation	NOUN
easat-11010	213	14	,	,	PUNCT
easat-11010	213	15	temporal	temporal	ADJ
easat-11010	213	16	dependencies	dependency	NOUN
easat-11010	213	17	in	in	ADP
easat-11010	213	18	consumption	consumption	NOUN
easat-11010	213	19	were	be	AUX
easat-11010	213	20	underlined	underline	VERB
easat-11010	213	21	by	by	ADP
easat-11010	213	22	means	mean	NOUN
easat-11010	213	23	of	of	ADP
easat-11010	213	24	mcmc	mcmc	PROPN
easat-11010	213	25	results	result	NOUN
easat-11010	213	26	.	.	PUNCT
easat-11010	214	1	for	for	ADP
easat-11010	214	2	example	example	NOUN
easat-11010	214	3	,	,	PUNCT
easat-11010	214	4	𝜙	𝜙	PROPN
easat-11010	214	5	values	value	NOUN
easat-11010	214	6	were	be	AUX
easat-11010	214	7	small	small	ADJ
easat-11010	214	8	during	during	ADP
easat-11010	214	9	such	such	ADJ
easat-11010	214	10	hours	hour	NOUN
easat-11010	214	11	as	as	ADP
easat-11010	214	12	hour	hour	NOUN
easat-11010	214	13	13	13	NUM
easat-11010	214	14	(	(	PUNCT
easat-11010	214	15	0.7115	0.7115	NUM
easat-11010	214	16	)	)	PUNCT
easat-11010	214	17	,	,	PUNCT
easat-11010	214	18	which	which	PRON
easat-11010	214	19	shows	show	VERB
easat-11010	214	20	less	less	ADJ
easat-11010	214	21	predictability	predictability	NOUN
easat-11010	214	22	,	,	PUNCT
easat-11010	214	23	whereas	whereas	SCONJ
easat-11010	214	24	hour	hour	NOUN
easat-11010	214	25	8	8	NUM
easat-11010	214	26	(	(	PUNCT
easat-11010	214	27	0.8406	0.8406	NUM
easat-11010	214	28	)	)	PUNCT
easat-11010	214	29	and	and	CCONJ
easat-11010	214	30	hour	hour	NOUN
easat-11010	214	31	24	24	NUM
easat-11010	214	32	(	(	PUNCT
easat-11010	214	33	0.8473	0.8473	NUM
easat-11010	214	34	)	)	PUNCT
easat-11010	214	35	had	have	VERB
easat-11010	214	36	higher	high	ADJ
easat-11010	214	37	𝜙	𝜙	PRON
easat-11010	214	38	values	value	NOUN
easat-11010	214	39	,	,	PUNCT
easat-11010	214	40	indicating	indicate	VERB
easat-11010	214	41	solid	solid	ADJ
easat-11010	214	42	correlations	correlation	NOUN
easat-11010	214	43	between	between	ADP
easat-11010	214	44	hours	hour	NOUN
easat-11010	214	45	.	.	PUNCT
easat-11010	215	1	850	850	NUM
easat-11010	215	2	edelweiss	edelweiss	PROPN
easat-11010	215	3	applied	apply	VERB
easat-11010	215	4	science	science	NOUN
easat-11010	215	5	and	and	CCONJ
easat-11010	215	6	technology	technology	NOUN
easat-11010	215	7	issn	issn	PROPN
easat-11010	215	8	:	:	PUNCT
easat-11010	215	9	2576	2576	NUM
easat-11010	215	10	-	-	SYM
easat-11010	215	11	8484	8484	NUM
easat-11010	215	12	vol	vol	NOUN
easat-11010	215	13	.	.	PROPN
easat-11010	216	1	9	9	NUM
easat-11010	216	2	,	,	PUNCT
easat-11010	216	3	no	no	INTJ
easat-11010	216	4	.	.	NOUN
easat-11010	216	5	11	11	NUM
easat-11010	216	6	:	:	PUNCT
easat-11010	216	7	839	839	NUM
easat-11010	216	8	-	-	NUM
easat-11010	216	9	852	852	NUM
easat-11010	216	10	,	,	PUNCT
easat-11010	216	11	2025	2025	NUM
easat-11010	216	12	doi	doi	NOUN
easat-11010	216	13	:	:	PUNCT
easat-11010	216	14	10.55214/2576	10.55214/2576	NUM
easat-11010	216	15	-	-	SYM
easat-11010	216	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	216	17	©	©	ADP
easat-11010	216	18	2025	2025	NUM
easat-11010	216	19	by	by	ADP
easat-11010	216	20	the	the	DET
easat-11010	216	21	authors	author	NOUN
easat-11010	216	22	;	;	PUNCT
easat-11010	216	23	licensee	licensee	PROPN
easat-11010	216	24	learning	learning	NOUN
easat-11010	216	25	gate	gate	VERB
easat-11010	216	26	these	these	DET
easat-11010	216	27	findings	finding	NOUN
easat-11010	216	28	from	from	ADP
easat-11010	216	29	mcmc	mcmc	PROPN
easat-11010	216	30	analysis	analysis	NOUN
easat-11010	216	31	helped	help	VERB
easat-11010	216	32	the	the	DET
easat-11010	216	33	kalman	kalman	PROPN
easat-11010	216	34	filter	filter	NOUN
easat-11010	216	35	because	because	SCONJ
easat-11010	216	36	they	they	PRON
easat-11010	216	37	provided	provide	VERB
easat-11010	216	38	context	context	NOUN
easat-11010	216	39	for	for	ADP
easat-11010	216	40	how	how	SCONJ
easat-11010	216	41	it	it	PRON
easat-11010	216	42	should	should	AUX
easat-11010	216	43	adjust	adjust	VERB
easat-11010	216	44	its	its	PRON
easat-11010	216	45	state	state	NOUN
easat-11010	216	46	estimates	estimate	NOUN
easat-11010	216	47	.	.	PUNCT
easat-11010	217	1	in	in	ADP
easat-11010	217	2	hours	hour	NOUN
easat-11010	217	3	whose	whose	DET
easat-11010	217	4	𝜙	𝜙	NOUN
easat-11010	217	5	value	value	NOUN
easat-11010	217	6	was	be	AUX
easat-11010	217	7	low	low	ADJ
easat-11010	217	8	,	,	PUNCT
easat-11010	217	9	the	the	DET
easat-11010	217	10	filter	filter	NOUN
easat-11010	217	11	gave	give	VERB
easat-11010	217	12	more	more	ADJ
easat-11010	217	13	weight	weight	NOUN
easat-11010	217	14	to	to	ADP
easat-11010	217	15	new	new	ADJ
easat-11010	217	16	data	datum	NOUN
easat-11010	217	17	;	;	PUNCT
easat-11010	217	18	during	during	ADP
easat-11010	217	19	hours	hour	NOUN
easat-11010	217	20	with	with	ADP
easat-11010	217	21	a	a	DET
easat-11010	217	22	high	high	ADJ
easat-11010	217	23	𝜙	𝜙	NOUN
easat-11010	217	24	value	value	NOUN
easat-11010	217	25	,	,	PUNCT
easat-11010	217	26	it	it	PRON
easat-11010	217	27	paid	pay	VERB
easat-11010	217	28	more	more	ADJ
easat-11010	217	29	attention	attention	NOUN
easat-11010	217	30	to	to	ADP
easat-11010	217	31	historical	historical	ADJ
easat-11010	217	32	observations	observation	NOUN
easat-11010	217	33	.	.	PUNCT
easat-11010	218	1	this	this	DET
easat-11010	218	2	flexibility	flexibility	NOUN
easat-11010	218	3	ensured	ensure	VERB
easat-11010	218	4	the	the	DET
easat-11010	218	5	kalman	kalman	PROPN
easat-11010	218	6	filter	filter	NOUN
easat-11010	218	7	effectively	effectively	ADV
easat-11010	218	8	balanced	balance	VERB
easat-11010	218	9	short	short	ADJ
easat-11010	218	10	-	-	PUNCT
easat-11010	218	11	term	term	NOUN
easat-11010	218	12	fluctuations	fluctuation	NOUN
easat-11010	218	13	against	against	ADP
easat-11010	218	14	long	long	ADJ
easat-11010	218	15	-	-	PUNCT
easat-11010	218	16	term	term	NOUN
easat-11010	218	17	trends	trend	NOUN
easat-11010	218	18	.	.	PUNCT
easat-11010	219	1	uncertainty	uncertainty	NOUN
easat-11010	219	2	needed	need	VERB
easat-11010	219	3	to	to	PART
easat-11010	219	4	be	be	AUX
easat-11010	219	5	added	add	VERB
easat-11010	219	6	to	to	ADP
easat-11010	219	7	both	both	DET
easat-11010	219	8	models	model	NOUN
easat-11010	219	9	.	.	PUNCT
easat-11010	220	1	with	with	ADP
easat-11010	220	2	wider	wide	ADJ
easat-11010	220	3	credible	credible	ADJ
easat-11010	220	4	intervals	interval	NOUN
easat-11010	220	5	and	and	CCONJ
easat-11010	220	6	higher	high	ADJ
easat-11010	220	7	error	error	NOUN
easat-11010	220	8	covariances	covariance	NOUN
easat-11010	220	9	,	,	PUNCT
easat-11010	220	10	the	the	DET
easat-11010	220	11	σ²	σ²	NOUN
easat-11010	220	12	values	value	NOUN
easat-11010	220	13	from	from	ADP
easat-11010	220	14	mcmc	mcmc	PROPN
easat-11010	220	15	point	point	NOUN
easat-11010	220	16	toward	toward	ADP
easat-11010	220	17	times	time	NOUN
easat-11010	220	18	of	of	ADP
easat-11010	220	19	greater	great	ADJ
easat-11010	220	20	uncertainty	uncertainty	NOUN
easat-11010	220	21	.	.	PUNCT
easat-11010	221	1	in	in	ADP
easat-11010	221	2	these	these	DET
easat-11010	221	3	times	time	NOUN
easat-11010	221	4	of	of	ADP
easat-11010	221	5	increased	increase	VERB
easat-11010	221	6	uncertainty	uncertainty	NOUN
easat-11010	221	7	,	,	PUNCT
easat-11010	221	8	the	the	DET
easat-11010	221	9	model	model	NOUN
easat-11010	221	10	is	be	AUX
easat-11010	221	11	not	not	PART
easat-11010	221	12	as	as	ADV
easat-11010	221	13	confident	confident	ADJ
easat-11010	221	14	about	about	ADP
easat-11010	221	15	projections	projection	NOUN
easat-11010	221	16	of	of	ADP
easat-11010	221	17	the	the	DET
easat-11010	221	18	future	future	NOUN
easat-11010	221	19	.	.	PUNCT
easat-11010	222	1	this	this	PRON
easat-11010	222	2	is	be	AUX
easat-11010	222	3	updated	update	VERB
easat-11010	222	4	in	in	ADP
easat-11010	222	5	real	real	ADJ
easat-11010	222	6	-	-	PUNCT
easat-11010	222	7	time	time	NOUN
easat-11010	222	8	by	by	ADP
easat-11010	222	9	the	the	DET
easat-11010	222	10	ability	ability	NOUN
easat-11010	222	11	of	of	ADP
easat-11010	222	12	the	the	DET
easat-11010	222	13	kalman	kalman	NOUN
easat-11010	222	14	filter	filter	NOUN
easat-11010	222	15	to	to	PART
easat-11010	222	16	adapt	adapt	VERB
easat-11010	222	17	its	its	PRON
easat-11010	222	18	state	state	NOUN
easat-11010	222	19	predictions	prediction	NOUN
easat-11010	222	20	based	base	VERB
easat-11010	222	21	on	on	ADP
easat-11010	222	22	new	new	ADJ
easat-11010	222	23	observations	observation	NOUN
easat-11010	222	24	.	.	PUNCT
easat-11010	223	1	transparency	transparency	NOUN
easat-11010	223	2	:	:	PUNCT
easat-11010	223	3	the	the	DET
easat-11010	223	4	authors	author	NOUN
easat-11010	223	5	confirm	confirm	VERB
easat-11010	223	6	that	that	SCONJ
easat-11010	223	7	the	the	DET
easat-11010	223	8	manuscript	manuscript	NOUN
easat-11010	223	9	is	be	AUX
easat-11010	223	10	an	an	DET
easat-11010	223	11	honest	honest	ADJ
easat-11010	223	12	,	,	PUNCT
easat-11010	223	13	accurate	accurate	ADJ
easat-11010	223	14	,	,	PUNCT
easat-11010	223	15	and	and	CCONJ
easat-11010	223	16	transparent	transparent	ADJ
easat-11010	223	17	account	account	NOUN
easat-11010	223	18	of	of	ADP
easat-11010	223	19	the	the	DET
easat-11010	223	20	study	study	NOUN
easat-11010	223	21	;	;	PUNCT
easat-11010	223	22	that	that	SCONJ
easat-11010	223	23	no	no	DET
easat-11010	223	24	vital	vital	ADJ
easat-11010	223	25	features	feature	NOUN
easat-11010	223	26	of	of	ADP
easat-11010	223	27	the	the	DET
easat-11010	223	28	study	study	NOUN
easat-11010	223	29	have	have	AUX
easat-11010	223	30	been	be	AUX
easat-11010	223	31	omitted	omit	VERB
easat-11010	223	32	;	;	PUNCT
easat-11010	223	33	and	and	CCONJ
easat-11010	223	34	that	that	SCONJ
easat-11010	223	35	any	any	DET
easat-11010	223	36	discrepancies	discrepancy	NOUN
easat-11010	223	37	from	from	ADP
easat-11010	223	38	the	the	DET
easat-11010	223	39	study	study	NOUN
easat-11010	223	40	as	as	SCONJ
easat-11010	223	41	planned	plan	VERB
easat-11010	223	42	have	have	AUX
easat-11010	223	43	been	be	AUX
easat-11010	223	44	explained	explain	VERB
easat-11010	223	45	.	.	PUNCT
easat-11010	224	1	this	this	DET
easat-11010	224	2	study	study	NOUN
easat-11010	224	3	followed	follow	VERB
easat-11010	224	4	all	all	DET
easat-11010	224	5	ethical	ethical	ADJ
easat-11010	224	6	practices	practice	NOUN
easat-11010	224	7	during	during	ADP
easat-11010	224	8	writing	writing	NOUN
easat-11010	224	9	.	.	PUNCT
easat-11010	225	1	acknowledgments	acknowledgment	NOUN
easat-11010	225	2	:	:	PUNCT
easat-11010	226	1	we	we	PRON
easat-11010	226	2	gratefully	gratefully	ADV
easat-11010	226	3	acknowledge	acknowledge	VERB
easat-11010	226	4	from	from	ADP
easat-11010	226	5	the	the	DET
easat-11010	226	6	salahaddin	salahaddin	VERB
easat-11010	226	7	university	university	NOUN
easat-11010	226	8	for	for	ADP
easat-11010	226	9	the	the	DET
easat-11010	226	10	support	support	NOUN
easat-11010	226	11	of	of	ADP
easat-11010	226	12	this	this	DET
easat-11010	226	13	work	work	NOUN
easat-11010	226	14	.	.	PUNCT
easat-11010	227	1	copyright	copyright	NOUN
easat-11010	227	2	:	:	PUNCT
easat-11010	227	3	©	©	PROPN
easat-11010	227	4	2025	2025	NUM
easat-11010	227	5	by	by	ADP
easat-11010	227	6	the	the	DET
easat-11010	227	7	authors	author	NOUN
easat-11010	227	8	.	.	PUNCT
easat-11010	228	1	this	this	DET
easat-11010	228	2	article	article	NOUN
easat-11010	228	3	is	be	AUX
easat-11010	228	4	an	an	DET
easat-11010	228	5	open	open	ADJ
easat-11010	228	6	-	-	PUNCT
easat-11010	228	7	access	access	NOUN
easat-11010	228	8	article	article	NOUN
easat-11010	228	9	distributed	distribute	VERB
easat-11010	228	10	under	under	ADP
easat-11010	228	11	the	the	DET
easat-11010	228	12	terms	term	NOUN
easat-11010	228	13	and	and	CCONJ
easat-11010	228	14	conditions	condition	NOUN
easat-11010	228	15	of	of	ADP
easat-11010	228	16	the	the	DET
easat-11010	228	17	creative	creative	ADJ
easat-11010	228	18	commons	common	NOUN
easat-11010	228	19	attribution	attribution	NOUN
easat-11010	228	20	(	(	PUNCT
easat-11010	228	21	cc	cc	NOUN
easat-11010	228	22	by	by	ADP
easat-11010	228	23	)	)	PUNCT
easat-11010	228	24	license	license	NOUN
easat-11010	228	25	(	(	PUNCT
easat-11010	228	26	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-11010	228	27	)	)	PUNCT
easat-11010	228	28	.	.	PUNCT
easat-11010	229	1	references	reference	NOUN
easat-11010	229	2	[	[	X
easat-11010	229	3	1	1	X
easat-11010	229	4	]	]	PUNCT
easat-11010	229	5	s.	s.	PROPN
easat-11010	229	6	zhang	zhang	PROPN
easat-11010	229	7	,	,	PUNCT
easat-11010	229	8	n.	n.	PROPN
easat-11010	229	9	zhang	zhang	PROPN
easat-11010	229	10	,	,	PUNCT
easat-11010	229	11	z.	z.	PROPN
easat-11010	229	12	zhang	zhang	PROPN
easat-11010	229	13	,	,	PUNCT
easat-11010	229	14	and	and	CCONJ
easat-11010	229	15	y.	y.	PROPN
easat-11010	229	16	chen	chen	PROPN
easat-11010	229	17	,	,	PUNCT
easat-11010	229	18	"	"	PUNCT
easat-11010	229	19	electric	electric	ADJ
easat-11010	229	20	power	power	NOUN
easat-11010	229	21	load	load	NOUN
easat-11010	229	22	forecasting	forecasting	NOUN
easat-11010	229	23	method	method	NOUN
easat-11010	229	24	based	base	VERB
easat-11010	229	25	on	on	ADP
easat-11010	229	26	a	a	DET
easat-11010	229	27	support	support	NOUN
easat-11010	229	28	vector	vector	NOUN
easat-11010	229	29	machine	machine	NOUN
easat-11010	229	30	optimized	optimize	VERB
easat-11010	229	31	by	by	ADP
easat-11010	229	32	the	the	DET
easat-11010	229	33	improved	improve	VERB
easat-11010	229	34	seagull	seagull	NOUN
easat-11010	229	35	optimization	optimization	NOUN
easat-11010	229	36	algorithm	algorithm	NOUN
easat-11010	229	37	,	,	PUNCT
easat-11010	229	38	"	"	PUNCT
easat-11010	229	39	energies	energy	NOUN
easat-11010	229	40	,	,	PUNCT
easat-11010	229	41	vol	vol	NOUN
easat-11010	229	42	.	.	PROPN
easat-11010	229	43	15	15	NUM
easat-11010	229	44	,	,	PUNCT
easat-11010	229	45	no	no	INTJ
easat-11010	229	46	.	.	NOUN
easat-11010	229	47	23	23	NUM
easat-11010	229	48	,	,	PUNCT
easat-11010	229	49	p.	p.	NOUN
easat-11010	229	50	9197	9197	NUM
easat-11010	229	51	,	,	PUNCT
easat-11010	229	52	2022	2022	NUM
easat-11010	229	53	.	.	PUNCT
easat-11010	230	1	https://doi.org/10.3390/en15239197	https://doi.org/10.3390/en15239197	X
easat-11010	231	1	[	[	X
easat-11010	231	2	2	2	NUM
easat-11010	231	3	]	]	X
easat-11010	231	4	r.	r.	PROPN
easat-11010	231	5	chinnaraji	chinnaraji	PROPN
easat-11010	231	6	and	and	CCONJ
easat-11010	231	7	p.	p.	PROPN
easat-11010	231	8	ragupathy	ragupathy	NOUN
easat-11010	231	9	,	,	PUNCT
easat-11010	231	10	"	"	PUNCT
easat-11010	231	11	accurate	accurate	ADJ
easat-11010	231	12	electricity	electricity	NOUN
easat-11010	231	13	consumption	consumption	NOUN
easat-11010	231	14	prediction	prediction	NOUN
easat-11010	231	15	using	use	VERB
easat-11010	231	16	enhanced	enhance	VERB
easat-11010	231	17	long	long	ADJ
easat-11010	231	18	short‐term	short‐term	NOUN
easat-11010	231	19	memory	memory	NOUN
easat-11010	231	20	,	,	PUNCT
easat-11010	231	21	"	"	PUNCT
easat-11010	231	22	iet	iet	PROPN
easat-11010	231	23	communications	communication	NOUN
easat-11010	231	24	,	,	PUNCT
easat-11010	231	25	vol	vol	NOUN
easat-11010	231	26	.	.	PROPN
easat-11010	232	1	16	16	NUM
easat-11010	232	2	,	,	PUNCT
easat-11010	232	3	no	no	INTJ
easat-11010	232	4	.	.	NOUN
easat-11010	232	5	8	8	NUM
easat-11010	232	6	,	,	PUNCT
easat-11010	232	7	pp	pp	ADJ
easat-11010	232	8	.	.	PUNCT
easat-11010	233	1	830	830	NUM
easat-11010	233	2	-	-	SYM
easat-11010	233	3	844	844	NUM
easat-11010	233	4	,	,	PUNCT
easat-11010	233	5	2022	2022	NUM
easat-11010	233	6	.	.	PUNCT
easat-11010	234	1	https://doi.org/10.1049/cmu2.12384	https://doi.org/10.1049/cmu2.12384	X
easat-11010	235	1	[	[	X
easat-11010	235	2	3	3	NUM
easat-11010	235	3	]	]	PUNCT
easat-11010	235	4	r.	r.	PROPN
easat-11010	235	5	e.	e.	PROPN
easat-11010	235	6	kalman	kalman	PROPN
easat-11010	235	7	,	,	PUNCT
easat-11010	235	8	"	"	PUNCT
easat-11010	235	9	a	a	DET
easat-11010	235	10	new	new	ADJ
easat-11010	235	11	approach	approach	NOUN
easat-11010	235	12	to	to	ADP
easat-11010	235	13	linear	linear	ADJ
easat-11010	235	14	filtering	filtering	NOUN
easat-11010	235	15	and	and	CCONJ
easat-11010	235	16	prediction	prediction	NOUN
easat-11010	235	17	problems	problem	NOUN
easat-11010	235	18	,	,	PUNCT
easat-11010	235	19	"	"	PUNCT
easat-11010	235	20	journal	journal	NOUN
easat-11010	235	21	of	of	ADP
easat-11010	235	22	basic	basic	ADJ
easat-11010	235	23	engineering	engineering	NOUN
easat-11010	235	24	,	,	PUNCT
easat-11010	235	25	vol	vol	NOUN
easat-11010	235	26	.	.	PROPN
easat-11010	235	27	82	82	NUM
easat-11010	235	28	,	,	PUNCT
easat-11010	235	29	no	no	INTJ
easat-11010	235	30	.	.	NOUN
easat-11010	235	31	1	1	NUM
easat-11010	235	32	,	,	PUNCT
easat-11010	235	33	pp	pp	ADJ
easat-11010	235	34	.	.	PUNCT
easat-11010	236	1	35–45	35–45	NUM
easat-11010	236	2	,	,	PUNCT
easat-11010	236	3	1960	1960	NUM
easat-11010	236	4	.	.	PUNCT
easat-11010	237	1	https://doi.org/10.1115/1.3662552	https://doi.org/10.1115/1.3662552	PRON
easat-11010	238	1	[	[	X
easat-11010	238	2	4	4	X
easat-11010	238	3	]	]	PUNCT
easat-11010	238	4	s.	s.	PROPN
easat-11010	238	5	lopez	lopez	PROPN
easat-11010	238	6	-	-	PUNCT
easat-11010	238	7	restrepo	restrepo	PROPN
easat-11010	238	8	et	et	PROPN
easat-11010	238	9	al	al	PROPN
easat-11010	238	10	.	.	PROPN
easat-11010	238	11	,	,	PUNCT
easat-11010	238	12	"	"	PUNCT
easat-11010	238	13	an	an	DET
easat-11010	238	14	efficient	efficient	ADJ
easat-11010	238	15	ensemble	ensemble	ADJ
easat-11010	238	16	kalman	kalman	NOUN
easat-11010	238	17	filter	filter	NOUN
easat-11010	238	18	implementation	implementation	NOUN
easat-11010	238	19	via	via	ADP
easat-11010	238	20	shrinkage	shrinkage	NOUN
easat-11010	238	21	covariance	covariance	NOUN
easat-11010	238	22	matrix	matrix	NOUN
easat-11010	238	23	estimation	estimation	NOUN
easat-11010	238	24	:	:	PUNCT
easat-11010	238	25	exploiting	exploit	VERB
easat-11010	238	26	prior	prior	ADJ
easat-11010	238	27	knowledge	knowledge	NOUN
easat-11010	238	28	,	,	PUNCT
easat-11010	238	29	"	"	PUNCT
easat-11010	238	30	computational	computational	ADJ
easat-11010	238	31	geosciences	geoscience	NOUN
easat-11010	238	32	,	,	PUNCT
easat-11010	238	33	vol	vol	NOUN
easat-11010	238	34	.	.	PROPN
easat-11010	238	35	25	25	NUM
easat-11010	238	36	,	,	PUNCT
easat-11010	238	37	no	no	INTJ
easat-11010	238	38	.	.	NOUN
easat-11010	238	39	3	3	NUM
easat-11010	238	40	,	,	PUNCT
easat-11010	238	41	pp	pp	ADJ
easat-11010	238	42	.	.	PUNCT
easat-11010	239	1	985	985	NUM
easat-11010	239	2	-	-	SYM
easat-11010	239	3	1003	1003	NUM
easat-11010	239	4	,	,	PUNCT
easat-11010	239	5	2021	2021	NUM
easat-11010	239	6	.	.	PUNCT
easat-11010	240	1	https://doi.org/10.1007/s10596-021-10035-4	https://doi.org/10.1007/s10596-021-10035-4	NOUN
easat-11010	241	1	[	[	X
easat-11010	241	2	5	5	X
easat-11010	241	3	]	]	PUNCT
easat-11010	241	4	j.	j.	PROPN
easat-11010	241	5	hui	hui	PROPN
easat-11010	241	6	and	and	CCONJ
easat-11010	241	7	j.	j.	PROPN
easat-11010	241	8	yuan	yuan	PROPN
easat-11010	241	9	,	,	PUNCT
easat-11010	241	10	"	"	PUNCT
easat-11010	241	11	kalman	kalman	NOUN
easat-11010	241	12	filter	filter	NOUN
easat-11010	241	13	,	,	PUNCT
easat-11010	241	14	particle	particle	NOUN
easat-11010	241	15	filter	filter	NOUN
easat-11010	241	16	,	,	PUNCT
easat-11010	241	17	and	and	CCONJ
easat-11010	241	18	extended	extend	VERB
easat-11010	241	19	state	state	NOUN
easat-11010	241	20	observer	observer	NOUN
easat-11010	241	21	for	for	ADP
easat-11010	241	22	linear	linear	ADJ
easat-11010	241	23	state	state	NOUN
easat-11010	241	24	estimation	estimation	NOUN
easat-11010	241	25	under	under	ADP
easat-11010	241	26	perturbation	perturbation	NOUN
easat-11010	241	27	(	(	PUNCT
easat-11010	241	28	or	or	CCONJ
easat-11010	241	29	noise	noise	NOUN
easat-11010	241	30	)	)	PUNCT
easat-11010	241	31	of	of	ADP
easat-11010	241	32	mhtgr	mhtgr	NOUN
easat-11010	241	33	,	,	PUNCT
easat-11010	241	34	"	"	PUNCT
easat-11010	241	35	progress	progress	NOUN
easat-11010	241	36	in	in	ADP
easat-11010	241	37	nuclear	nuclear	ADJ
easat-11010	241	38	energy	energy	NOUN
easat-11010	241	39	,	,	PUNCT
easat-11010	241	40	vol	vol	NOUN
easat-11010	241	41	.	.	NOUN
easat-11010	241	42	148	148	NUM
easat-11010	241	43	,	,	PUNCT
easat-11010	241	44	p.	p.	NOUN
easat-11010	241	45	104231	104231	NUM
easat-11010	241	46	,	,	PUNCT
easat-11010	241	47	2022	2022	NUM
easat-11010	241	48	.	.	PUNCT
easat-11010	242	1	https://doi.org/10.1016/j.pnucene.2022.104231	https://doi.org/10.1016/j.pnucene.2022.104231	ADJ
easat-11010	242	2	[	[	X
easat-11010	242	3	6	6	NUM
easat-11010	242	4	]	]	PUNCT
easat-11010	242	5	s.	s.	PROPN
easat-11010	242	6	g.	g.	PROPN
easat-11010	242	7	penny	penny	PROPN
easat-11010	242	8	et	et	PROPN
easat-11010	242	9	al	al	PROPN
easat-11010	242	10	.	.	PROPN
easat-11010	242	11	,	,	PUNCT
easat-11010	242	12	"	"	PUNCT
easat-11010	242	13	integrating	integrate	VERB
easat-11010	242	14	recurrent	recurrent	ADJ
easat-11010	242	15	neural	neural	ADJ
easat-11010	242	16	networks	network	NOUN
easat-11010	242	17	with	with	ADP
easat-11010	242	18	data	datum	NOUN
easat-11010	242	19	assimilation	assimilation	NOUN
easat-11010	242	20	for	for	ADP
easat-11010	242	21	scalable	scalable	ADJ
easat-11010	242	22	data‐driven	data‐driven	ADJ
easat-11010	242	23	state	state	NOUN
easat-11010	242	24	estimation	estimation	NOUN
easat-11010	242	25	,	,	PUNCT
easat-11010	242	26	"	"	PUNCT
easat-11010	242	27	journal	journal	NOUN
easat-11010	242	28	of	of	ADP
easat-11010	242	29	advances	advance	NOUN
easat-11010	242	30	in	in	ADP
easat-11010	242	31	modeling	model	VERB
easat-11010	242	32	earth	earth	NOUN
easat-11010	242	33	systems	system	NOUN
easat-11010	242	34	,	,	PUNCT
easat-11010	242	35	vol	vol	NOUN
easat-11010	242	36	.	.	PROPN
easat-11010	243	1	14	14	NUM
easat-11010	243	2	,	,	PUNCT
easat-11010	243	3	no	no	INTJ
easat-11010	243	4	.	.	NOUN
easat-11010	243	5	3	3	NUM
easat-11010	243	6	,	,	PUNCT
easat-11010	243	7	p.	p.	NOUN
easat-11010	243	8	e2021ms002843	e2021ms002843	PROPN
easat-11010	243	9	,	,	PUNCT
easat-11010	243	10	2022	2022	NUM
easat-11010	243	11	.	.	PUNCT
easat-11010	244	1	https://doi.org/10.1029/2021ms002843	https://doi.org/10.1029/2021ms002843	PROPN
easat-11010	245	1	[	[	X
easat-11010	245	2	7	7	NUM
easat-11010	245	3	]	]	X
easat-11010	245	4	g.	g.	PROPN
easat-11010	245	5	revach	revach	PROPN
easat-11010	245	6	,	,	PUNCT
easat-11010	245	7	n.	n.	NOUN
easat-11010	245	8	shlezinger	shlezinger	NOUN
easat-11010	245	9	,	,	PUNCT
easat-11010	245	10	x.	x.	PROPN
easat-11010	245	11	ni	ni	PROPN
easat-11010	245	12	,	,	PUNCT
easat-11010	245	13	a.	a.	PROPN
easat-11010	245	14	l.	l.	PROPN
easat-11010	245	15	escoriza	escoriza	PROPN
easat-11010	245	16	,	,	PUNCT
easat-11010	245	17	r.	r.	PROPN
easat-11010	245	18	j.	j.	PROPN
easat-11010	245	19	van	van	PROPN
easat-11010	245	20	sloun	sloun	PROPN
easat-11010	245	21	,	,	PUNCT
easat-11010	245	22	and	and	CCONJ
easat-11010	245	23	y.	y.	PROPN
easat-11010	245	24	c.	c.	PROPN
easat-11010	245	25	eldar	eldar	PROPN
easat-11010	245	26	,	,	PUNCT
easat-11010	245	27	"	"	PUNCT
easat-11010	245	28	kalmannet	kalmannet	NOUN
easat-11010	245	29	:	:	PUNCT
easat-11010	245	30	neural	neural	ADJ
easat-11010	245	31	network	network	NOUN
easat-11010	245	32	aided	aid	VERB
easat-11010	245	33	kalman	kalman	NOUN
easat-11010	245	34	filtering	filter	VERB
easat-11010	245	35	for	for	ADP
easat-11010	245	36	partially	partially	ADV
easat-11010	245	37	known	know	VERB
easat-11010	245	38	dynamics	dynamic	NOUN
easat-11010	245	39	,	,	PUNCT
easat-11010	245	40	"	"	PUNCT
easat-11010	245	41	ieee	ieee	NOUN
easat-11010	245	42	transactions	transaction	NOUN
easat-11010	245	43	on	on	ADP
easat-11010	245	44	signal	signal	ADJ
easat-11010	245	45	processing	processing	NOUN
easat-11010	245	46	,	,	PUNCT
easat-11010	245	47	vol	vol	NOUN
easat-11010	245	48	.	.	PROPN
easat-11010	245	49	70	70	NUM
easat-11010	245	50	,	,	PUNCT
easat-11010	245	51	pp	pp	ADJ
easat-11010	245	52	.	.	PUNCT
easat-11010	245	53	1532	1532	NUM
easat-11010	245	54	-	-	SYM
easat-11010	245	55	1547	1547	NUM
easat-11010	245	56	,	,	PUNCT
easat-11010	245	57	2022	2022	NUM
easat-11010	245	58	.	.	PUNCT
easat-11010	246	1	[	[	X
easat-11010	246	2	8	8	NUM
easat-11010	246	3	]	]	X
easat-11010	246	4	d.	d.	PROPN
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easat-11010	246	6	,	,	PUNCT
easat-11010	246	7	"	"	PUNCT
easat-11010	246	8	on	on	ADP
easat-11010	246	9	the	the	DET
easat-11010	246	10	quantification	quantification	NOUN
easat-11010	246	11	of	of	ADP
easat-11010	246	12	model	model	NOUN
easat-11010	246	13	uncertainty	uncertainty	NOUN
easat-11010	246	14	:	:	PUNCT
easat-11010	246	15	a	a	DET
easat-11010	246	16	bayesian	bayesian	NOUN
easat-11010	246	17	perspective	perspective	NOUN
easat-11010	246	18	,	,	PUNCT
easat-11010	246	19	"	"	PUNCT
easat-11010	246	20	psychometrika	psychometrika	X
easat-11010	246	21	,	,	PUNCT
easat-11010	246	22	vol	vol	NOUN
easat-11010	246	23	.	.	PROPN
easat-11010	246	24	86	86	NUM
easat-11010	246	25	,	,	PUNCT
easat-11010	246	26	no	no	INTJ
easat-11010	246	27	.	.	NOUN
easat-11010	246	28	1	1	NUM
easat-11010	246	29	,	,	PUNCT
easat-11010	246	30	pp	pp	ADJ
easat-11010	246	31	.	.	PUNCT
easat-11010	246	32	215238	215238	NUM
easat-11010	246	33	,	,	PUNCT
easat-11010	246	34	2021	2021	NUM
easat-11010	246	35	.	.	PUNCT
easat-11010	246	36	https://doi.org/10.1007/s11336-021-09754-5	https://doi.org/10.1007/s11336-021-09754-5	NUM
easat-11010	247	1	[	[	X
easat-11010	247	2	9	9	NUM
easat-11010	247	3	]	]	PUNCT
easat-11010	247	4	p.	p.	PROPN
easat-11010	247	5	l.	l.	PROPN
easat-11010	247	6	gentili	gentili	PROPN
easat-11010	247	7	,	,	PUNCT
easat-11010	247	8	"	"	PUNCT
easat-11010	247	9	establishing	establish	VERB
easat-11010	247	10	a	a	DET
easat-11010	247	11	new	new	ADJ
easat-11010	247	12	link	link	NOUN
easat-11010	247	13	between	between	ADP
easat-11010	247	14	fuzzy	fuzzy	ADJ
easat-11010	247	15	logic	logic	NOUN
easat-11010	247	16	,	,	PUNCT
easat-11010	247	17	neuroscience	neuroscience	NOUN
easat-11010	247	18	,	,	PUNCT
easat-11010	247	19	and	and	CCONJ
easat-11010	247	20	quantum	quantum	ADJ
easat-11010	247	21	mechanics	mechanic	NOUN
easat-11010	247	22	through	through	ADP
easat-11010	247	23	bayesian	bayesian	NOUN
easat-11010	247	24	probability	probability	NOUN
easat-11010	247	25	:	:	PUNCT
easat-11010	247	26	perspectives	perspective	NOUN
easat-11010	247	27	in	in	ADP
easat-11010	247	28	artificial	artificial	ADJ
easat-11010	247	29	intelligence	intelligence	NOUN
easat-11010	247	30	and	and	CCONJ
easat-11010	247	31	unconventional	unconventional	ADJ
easat-11010	247	32	computing	computing	NOUN
easat-11010	247	33	,	,	PUNCT
easat-11010	247	34	"	"	PUNCT
easat-11010	247	35	molecules	molecule	NOUN
easat-11010	247	36	,	,	PUNCT
easat-11010	247	37	vol	vol	NOUN
easat-11010	247	38	.	.	PROPN
easat-11010	247	39	26	26	NUM
easat-11010	247	40	,	,	PUNCT
easat-11010	247	41	no	no	INTJ
easat-11010	247	42	.	.	NOUN
easat-11010	247	43	19	19	NUM
easat-11010	247	44	,	,	PUNCT
easat-11010	247	45	p.	p.	NOUN
easat-11010	247	46	5987	5987	NUM
easat-11010	247	47	,	,	PUNCT
easat-11010	247	48	2021	2021	NUM
easat-11010	247	49	.	.	PUNCT
easat-11010	248	1	https://doi.org/10.3390/molecules26195987	https://doi.org/10.3390/molecules26195987	PROPN
easat-11010	249	1	[	[	X
easat-11010	249	2	10	10	NUM
easat-11010	249	3	]	]	X
easat-11010	249	4	n.	n.	PROPN
easat-11010	249	5	a.	a.	PROPN
easat-11010	249	6	mohammed	mohammed	PROPN
easat-11010	249	7	and	and	CCONJ
easat-11010	249	8	a.	a.	PROPN
easat-11010	249	9	al	al	PROPN
easat-11010	249	10	-	-	PUNCT
easat-11010	249	11	bazi	bazi	PROPN
easat-11010	249	12	,	,	PUNCT
easat-11010	249	13	"	"	PUNCT
easat-11010	249	14	an	an	DET
easat-11010	249	15	adaptive	adaptive	ADJ
easat-11010	249	16	backpropagation	backpropagation	NOUN
easat-11010	249	17	algorithm	algorithm	NOUN
easat-11010	249	18	for	for	ADP
easat-11010	249	19	long	long	ADJ
easat-11010	249	20	-	-	PUNCT
easat-11010	249	21	term	term	NOUN
easat-11010	249	22	electricity	electricity	NOUN
easat-11010	249	23	load	load	NOUN
easat-11010	249	24	forecasting	forecasting	NOUN
easat-11010	249	25	,	,	PUNCT
easat-11010	249	26	"	"	PUNCT
easat-11010	249	27	neural	neural	ADJ
easat-11010	249	28	computing	computing	NOUN
easat-11010	249	29	and	and	CCONJ
easat-11010	249	30	applications	application	NOUN
easat-11010	249	31	,	,	PUNCT
easat-11010	249	32	vol	vol	NOUN
easat-11010	249	33	.	.	PROPN
easat-11010	249	34	34	34	NUM
easat-11010	249	35	,	,	PUNCT
easat-11010	249	36	no	no	INTJ
easat-11010	249	37	.	.	NOUN
easat-11010	249	38	1	1	NUM
easat-11010	249	39	,	,	PUNCT
easat-11010	249	40	pp	pp	ADJ
easat-11010	249	41	.	.	PUNCT
easat-11010	250	1	477	477	NUM
easat-11010	250	2	-	-	SYM
easat-11010	250	3	491	491	NUM
easat-11010	250	4	,	,	PUNCT
easat-11010	250	5	2022	2022	NUM
easat-11010	250	6	.	.	PUNCT
easat-11010	251	1	https://doi.org/10.1007/s00521021-06384-x	https://doi.org/10.1007/s00521021-06384-x	PUNCT
easat-11010	252	1	[	[	X
easat-11010	252	2	11	11	NUM
easat-11010	252	3	]	]	PUNCT
easat-11010	252	4	a.	a.	NOUN
easat-11010	252	5	ozcan	ozcan	PROPN
easat-11010	252	6	,	,	PUNCT
easat-11010	252	7	c.	c.	PROPN
easat-11010	252	8	catal	catal	PROPN
easat-11010	252	9	,	,	PUNCT
easat-11010	252	10	and	and	CCONJ
easat-11010	252	11	a.	a.	NOUN
easat-11010	252	12	kasif	kasif	NOUN
easat-11010	252	13	,	,	PUNCT
easat-11010	252	14	"	"	PUNCT
easat-11010	252	15	energy	energy	NOUN
easat-11010	252	16	load	load	NOUN
easat-11010	252	17	forecasting	forecasting	NOUN
easat-11010	252	18	using	use	VERB
easat-11010	252	19	a	a	DET
easat-11010	252	20	dual	dual	ADJ
easat-11010	252	21	-	-	PUNCT
easat-11010	252	22	stage	stage	NOUN
easat-11010	252	23	attention	attention	NOUN
easat-11010	252	24	-	-	PUNCT
easat-11010	252	25	based	base	VERB
easat-11010	252	26	recurrent	recurrent	ADJ
easat-11010	252	27	neural	neural	ADJ
easat-11010	252	28	network	network	NOUN
easat-11010	252	29	,	,	PUNCT
easat-11010	252	30	"	"	PUNCT
easat-11010	252	31	sensors	sensor	NOUN
easat-11010	252	32	,	,	PUNCT
easat-11010	252	33	vol	vol	NOUN
easat-11010	252	34	.	.	PROPN
easat-11010	252	35	21	21	NUM
easat-11010	252	36	,	,	PUNCT
easat-11010	252	37	no	no	INTJ
easat-11010	252	38	.	.	NOUN
easat-11010	252	39	21	21	NUM
easat-11010	252	40	,	,	PUNCT
easat-11010	252	41	p.	p.	NOUN
easat-11010	252	42	7115	7115	NUM
easat-11010	252	43	,	,	PUNCT
easat-11010	252	44	2021	2021	NUM
easat-11010	252	45	.	.	PUNCT
easat-11010	253	1	https://doi.org/10.3390/s21217115	https://doi.org/10.3390/s21217115	PROPN
easat-11010	254	1	[	[	X
easat-11010	254	2	12	12	NUM
easat-11010	254	3	]	]	X
easat-11010	254	4	y.	y.	PROPN
easat-11010	254	5	yang	yang	PROPN
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easat-11010	254	10	and	and	CCONJ
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easat-11010	254	13	,	,	PUNCT
easat-11010	254	14	"	"	PUNCT
easat-11010	254	15	a	a	DET
easat-11010	254	16	novel	novel	ADJ
easat-11010	254	17	general	general	ADJ
easat-11010	254	18	-	-	PUNCT
easat-11010	254	19	purpose	purpose	NOUN
easat-11010	254	20	hybrid	hybrid	NOUN
easat-11010	254	21	model	model	NOUN
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easat-11010	254	23	time	time	NOUN
easat-11010	254	24	series	series	PROPN
easat-11010	254	25	forecasting	forecasting	NOUN
easat-11010	254	26	,	,	PUNCT
easat-11010	254	27	"	"	PUNCT
easat-11010	254	28	applied	apply	VERB
easat-11010	254	29	intelligence	intelligence	NOUN
easat-11010	254	30	,	,	PUNCT
easat-11010	254	31	vol	vol	NOUN
easat-11010	254	32	.	.	PROPN
easat-11010	254	33	52	52	NUM
easat-11010	254	34	,	,	PUNCT
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easat-11010	254	37	2	2	NUM
easat-11010	254	38	,	,	PUNCT
easat-11010	254	39	pp	pp	ADJ
easat-11010	254	40	.	.	PUNCT
easat-11010	255	1	2212	2212	NUM
easat-11010	255	2	-	-	SYM
easat-11010	255	3	2223	2223	NUM
easat-11010	255	4	,	,	PUNCT
easat-11010	255	5	2022	2022	NUM
easat-11010	255	6	.	.	PUNCT
easat-11010	256	1	https://doi.org/10.1007/s10489-021-02442-y	https://doi.org/10.1007/s10489-021-02442-y	PROPN
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easat-11010	256	3	https://doi.org/10.3390/en15239197	https://doi.org/10.3390/en15239197	PROPN
easat-11010	256	4	https://doi.org/10.1049/cmu2.12384	https://doi.org/10.1049/cmu2.12384	X
easat-11010	257	1	https://doi.org/10.1115/1.3662552	https://doi.org/10.1115/1.3662552	PROPN
easat-11010	257	2	https://doi.org/10.1007/s10596-021-10035-4	https://doi.org/10.1007/s10596-021-10035-4	NUM
easat-11010	257	3	https://doi.org/10.1016/j.pnucene.2022.104231	https://doi.org/10.1016/j.pnucene.2022.104231	ADJ
easat-11010	257	4	https://doi.org/10.1029/2021ms002843	https://doi.org/10.1029/2021ms002843	ADP
easat-11010	257	5	https://doi.org/10.1007/s11336-021-09754-5	https://doi.org/10.1007/s11336-021-09754-5	NUM
easat-11010	257	6	https://doi.org/10.3390/molecules26195987	https://doi.org/10.3390/molecules26195987	NOUN
easat-11010	257	7	https://doi.org/10.1007/s00521-021-06384-x	https://doi.org/10.1007/s00521-021-06384-x	PROPN
easat-11010	258	1	https://doi.org/10.1007/s00521-021-06384-x	https://doi.org/10.1007/s00521-021-06384-x	NOUN
easat-11010	258	2	https://doi.org/10.3390/s21217115	https://doi.org/10.3390/s21217115	PROPN
easat-11010	258	3	https://doi.org/10.1007/s10489-021-02442-y	https://doi.org/10.1007/s10489-021-02442-y	PROPN
easat-11010	258	4	851	851	NUM
easat-11010	258	5	edelweiss	edelweiss	PROPN
easat-11010	258	6	applied	apply	VERB
easat-11010	258	7	science	science	NOUN
easat-11010	258	8	and	and	CCONJ
easat-11010	258	9	technology	technology	NOUN
easat-11010	258	10	issn	issn	PROPN
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easat-11010	258	12	2576	2576	NUM
easat-11010	258	13	-	-	SYM
easat-11010	258	14	8484	8484	NUM
easat-11010	258	15	vol	vol	NOUN
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easat-11010	259	1	9	9	NUM
easat-11010	259	2	,	,	PUNCT
easat-11010	259	3	no	no	INTJ
easat-11010	259	4	.	.	NOUN
easat-11010	259	5	11	11	NUM
easat-11010	259	6	:	:	PUNCT
easat-11010	259	7	839	839	NUM
easat-11010	259	8	-	-	NUM
easat-11010	259	9	852	852	NUM
easat-11010	259	10	,	,	PUNCT
easat-11010	259	11	2025	2025	NUM
easat-11010	259	12	doi	doi	NOUN
easat-11010	259	13	:	:	PUNCT
easat-11010	259	14	10.55214/2576	10.55214/2576	NUM
easat-11010	259	15	-	-	SYM
easat-11010	259	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	259	17	©	©	ADP
easat-11010	259	18	2025	2025	NUM
easat-11010	259	19	by	by	ADP
easat-11010	259	20	the	the	DET
easat-11010	259	21	authors	author	NOUN
easat-11010	259	22	;	;	PUNCT
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easat-11010	259	24	learning	learning	NOUN
easat-11010	259	25	gate	gate	NOUN
easat-11010	260	1	[	[	X
easat-11010	260	2	13	13	NUM
easat-11010	260	3	]	]	PUNCT
easat-11010	260	4	k.	k.	PROPN
easat-11010	260	5	benidis	benidis	PROPN
easat-11010	260	6	et	et	PROPN
easat-11010	260	7	al	al	PROPN
easat-11010	260	8	.	.	PROPN
easat-11010	260	9	,	,	PUNCT
easat-11010	260	10	"	"	PUNCT
easat-11010	260	11	deep	deep	ADJ
easat-11010	260	12	learning	learning	NOUN
easat-11010	260	13	for	for	ADP
easat-11010	260	14	time	time	NOUN
easat-11010	260	15	series	series	PROPN
easat-11010	260	16	forecasting	forecasting	NOUN
easat-11010	260	17	:	:	PUNCT
easat-11010	260	18	tutorial	tutorial	NOUN
easat-11010	260	19	and	and	CCONJ
easat-11010	260	20	literature	literature	NOUN
easat-11010	260	21	survey	survey	NOUN
easat-11010	260	22	,	,	PUNCT
easat-11010	260	23	"	"	PUNCT
easat-11010	260	24	acm	acm	PROPN
easat-11010	260	25	computing	computing	NOUN
easat-11010	260	26	surveys	survey	NOUN
easat-11010	260	27	,	,	PUNCT
easat-11010	260	28	vol	vol	NOUN
easat-11010	260	29	.	.	PROPN
easat-11010	261	1	55	55	NUM
easat-11010	261	2	,	,	PUNCT
easat-11010	261	3	no	no	INTJ
easat-11010	261	4	.	.	NOUN
easat-11010	261	5	6	6	NUM
easat-11010	261	6	,	,	PUNCT
easat-11010	261	7	pp	pp	ADJ
easat-11010	261	8	.	.	PUNCT
easat-11010	262	1	1	1	NUM
easat-11010	262	2	-	-	SYM
easat-11010	262	3	36	36	NUM
easat-11010	262	4	,	,	PUNCT
easat-11010	262	5	2022	2022	NUM
easat-11010	262	6	.	.	PUNCT
easat-11010	263	1	https://doi.org/10.1145/3533382	https://doi.org/10.1145/3533382	X
easat-11010	264	1	[	[	X
easat-11010	264	2	14	14	NUM
easat-11010	264	3	]	]	X
easat-11010	264	4	d.	d.	PROPN
easat-11010	264	5	chen	chen	PROPN
easat-11010	264	6	,	,	PUNCT
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easat-11010	264	8	uncertain	uncertain	ADJ
easat-11010	264	9	regression	regression	NOUN
easat-11010	264	10	model	model	NOUN
easat-11010	264	11	with	with	ADP
easat-11010	264	12	autoregressive	autoregressive	ADJ
easat-11010	264	13	time	time	NOUN
easat-11010	264	14	series	series	NOUN
easat-11010	264	15	errors	error	NOUN
easat-11010	264	16	,	,	PUNCT
easat-11010	264	17	"	"	PUNCT
easat-11010	264	18	soft	soft	ADJ
easat-11010	264	19	computing	computing	NOUN
easat-11010	264	20	,	,	PUNCT
easat-11010	264	21	vol	vol	NOUN
easat-11010	264	22	.	.	PROPN
easat-11010	264	23	25	25	NUM
easat-11010	264	24	,	,	PUNCT
easat-11010	264	25	no	no	INTJ
easat-11010	264	26	.	.	NOUN
easat-11010	264	27	23	23	NUM
easat-11010	264	28	,	,	PUNCT
easat-11010	264	29	pp	pp	ADJ
easat-11010	264	30	.	.	PUNCT
easat-11010	264	31	14549	14549	NUM
easat-11010	264	32	-	-	SYM
easat-11010	264	33	14559	14559	NUM
easat-11010	264	34	,	,	PUNCT
easat-11010	264	35	2021	2021	NUM
easat-11010	264	36	.	.	PUNCT
easat-11010	264	37	https://doi.org/10.1007/s00500-021-06362-4	https://doi.org/10.1007/s00500-021-06362-4	NUM
easat-11010	265	1	[	[	X
easat-11010	265	2	15	15	NUM
easat-11010	265	3	]	]	X
easat-11010	265	4	s.	s.	PROPN
easat-11010	265	5	chen	chen	PROPN
easat-11010	265	6	,	,	PUNCT
easat-11010	265	7	z.	z.	PROPN
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easat-11010	265	9	,	,	PUNCT
easat-11010	265	10	and	and	CCONJ
easat-11010	265	11	t.	t.	PROPN
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easat-11010	265	13	,	,	PUNCT
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easat-11010	265	19	denoising	denoising	NOUN
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easat-11010	265	21	the	the	DET
easat-11010	265	22	emg	emg	NOUN
easat-11010	265	23	signal	signal	NOUN
easat-11010	265	24	,	,	PUNCT
easat-11010	265	25	"	"	PUNCT
easat-11010	265	26	computational	computational	ADJ
easat-11010	265	27	and	and	CCONJ
easat-11010	265	28	mathematical	mathematical	ADJ
easat-11010	265	29	methods	method	NOUN
easat-11010	265	30	in	in	ADP
easat-11010	265	31	medicine	medicine	NOUN
easat-11010	265	32	,	,	PUNCT
easat-11010	265	33	vol	vol	NOUN
easat-11010	265	34	.	.	PROPN
easat-11010	265	35	2021	2021	NUM
easat-11010	265	36	,	,	PUNCT
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easat-11010	265	38	.	.	NOUN
easat-11010	265	39	1	1	NUM
easat-11010	265	40	,	,	PUNCT
easat-11010	265	41	p.	p.	NOUN
easat-11010	265	42	9409560	9409560	NUM
easat-11010	265	43	,	,	PUNCT
easat-11010	265	44	2021	2021	NUM
easat-11010	265	45	.	.	PUNCT
easat-11010	266	1	https://doi.org/10.1155/2021/9409560	https://doi.org/10.1155/2021/9409560	PROPN
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easat-11010	267	2	16	16	NUM
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easat-11010	267	9	,	,	PUNCT
easat-11010	267	10	h.	h.	PROPN
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easat-11010	267	16	,	,	PUNCT
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easat-11010	267	18	joint	joint	ADJ
easat-11010	267	19	input	input	NOUN
easat-11010	267	20	-	-	PUNCT
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easat-11010	267	29	via	via	ADP
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easat-11010	267	31	kalman	kalman	PROPN
easat-11010	267	32	filter	filter	PROPN
easat-11010	267	33	with	with	ADP
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easat-11010	267	36	latent	latent	NOUN
easat-11010	267	37	force	force	NOUN
easat-11010	267	38	models	model	NOUN
easat-11010	267	39	,	,	PUNCT
easat-11010	267	40	"	"	PUNCT
easat-11010	267	41	mechanical	mechanical	ADJ
easat-11010	267	42	systems	system	NOUN
easat-11010	267	43	and	and	CCONJ
easat-11010	267	44	signal	signal	NOUN
easat-11010	267	45	processing	processing	NOUN
easat-11010	267	46	,	,	PUNCT
easat-11010	267	47	vol	vol	NOUN
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easat-11010	267	49	223	223	NUM
easat-11010	267	50	,	,	PUNCT
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easat-11010	267	53	,	,	PUNCT
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easat-11010	267	55	.	.	PUNCT
easat-11010	268	1	https://doi.org/10.1016/j.ymssp.2024.111852	https://doi.org/10.1016/j.ymssp.2024.111852	PROPN
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easat-11010	268	3	17	17	NUM
easat-11010	268	4	]	]	PUNCT
easat-11010	268	5	z.	z.	PROPN
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easat-11010	268	7	,	,	PUNCT
easat-11010	268	8	z.	z.	PROPN
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easat-11010	268	11	z.	z.	PROPN
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easat-11010	268	13	,	,	PUNCT
easat-11010	268	14	and	and	CCONJ
easat-11010	268	15	z.	z.	PROPN
easat-11010	268	16	dacheng	dacheng	PROPN
easat-11010	268	17	,	,	PUNCT
easat-11010	268	18	"	"	PUNCT
easat-11010	268	19	short	short	ADJ
easat-11010	268	20	-	-	PUNCT
easat-11010	268	21	term	term	NOUN
easat-11010	268	22	load	load	NOUN
easat-11010	268	23	forecasting	forecasting	NOUN
easat-11010	268	24	based	base	VERB
easat-11010	268	25	on	on	ADP
easat-11010	268	26	kalman	kalman	PROPN
easat-11010	268	27	filter	filter	PROPN
easat-11010	268	28	and	and	CCONJ
easat-11010	268	29	nonlinear	nonlinear	ADJ
easat-11010	268	30	autoregressive	autoregressive	ADJ
easat-11010	268	31	neural	neural	ADJ
easat-11010	268	32	network	network	NOUN
easat-11010	268	33	,	,	PUNCT
easat-11010	268	34	"	"	PUNCT
easat-11010	268	35	in	in	ADP
easat-11010	268	36	2021	2021	NUM
easat-11010	268	37	33rd	33rd	ADJ
easat-11010	268	38	chinese	chinese	ADJ
easat-11010	268	39	control	control	NOUN
easat-11010	268	40	and	and	CCONJ
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easat-11010	268	42	conference	conference	NOUN
easat-11010	268	43	(	(	PUNCT
easat-11010	268	44	ccdc	ccdc	PROPN
easat-11010	268	45	)	)	PUNCT
easat-11010	268	46	(	(	PUNCT
easat-11010	268	47	pp	pp	ADP
easat-11010	268	48	.	.	PUNCT
easat-11010	268	49	37473751	37473751	NUM
easat-11010	268	50	)	)	PUNCT
easat-11010	268	51	.	.	PUNCT
easat-11010	269	1	ieee	ieee	NOUN
easat-11010	269	2	,	,	PUNCT
easat-11010	269	3	2021	2021	NUM
easat-11010	269	4	.	.	PUNCT
easat-11010	270	1	[	[	X
easat-11010	270	2	18	18	NUM
easat-11010	270	3	]	]	PUNCT
easat-11010	270	4	a.	a.	NOUN
easat-11010	270	5	brusaferri	brusaferri	PROPN
easat-11010	270	6	,	,	PUNCT
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easat-11010	270	9	,	,	PUNCT
easat-11010	270	10	p.	p.	NOUN
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easat-11010	270	12	,	,	PUNCT
easat-11010	270	13	and	and	CCONJ
easat-11010	270	14	a.	a.	PROPN
easat-11010	270	15	vitali	vitali	PROPN
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easat-11010	270	17	"	"	PUNCT
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easat-11010	270	25	forecast	forecast	NOUN
easat-11010	270	26	of	of	ADP
easat-11010	270	27	day	day	NOUN
easat-11010	270	28	-	-	PUNCT
easat-11010	270	29	ahead	ahead	NOUN
easat-11010	270	30	electricity	electricity	NOUN
easat-11010	270	31	prices	price	NOUN
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easat-11010	270	33	"	"	PUNCT
easat-11010	270	34	applied	apply	VERB
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easat-11010	270	36	,	,	PUNCT
easat-11010	270	37	vol	vol	NOUN
easat-11010	270	38	.	.	PROPN
easat-11010	270	39	250	250	NUM
easat-11010	270	40	,	,	PUNCT
easat-11010	270	41	pp	pp	ADJ
easat-11010	270	42	.	.	PUNCT
easat-11010	270	43	1158	1158	NUM
easat-11010	270	44	-	-	SYM
easat-11010	270	45	1175	1175	NUM
easat-11010	270	46	,	,	PUNCT
easat-11010	270	47	2019	2019	NUM
easat-11010	270	48	.	.	PUNCT
easat-11010	271	1	https://doi.org/10.1016/j.apenergy.2019.05.068	https://doi.org/10.1016/j.apenergy.2019.05.068	PRON
easat-11010	271	2	[	[	X
easat-11010	271	3	19	19	NUM
easat-11010	271	4	]	]	PUNCT
easat-11010	271	5	x.	x.	NOUN
easat-11010	271	6	liu	liu	PROPN
easat-11010	271	7	,	,	PUNCT
easat-11010	271	8	h.	h.	PROPN
easat-11010	271	9	xu	xu	PROPN
easat-11010	271	10	,	,	PUNCT
easat-11010	271	11	d.	d.	PROPN
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easat-11010	271	13	,	,	PUNCT
easat-11010	271	14	and	and	CCONJ
easat-11010	271	15	y.	y.	PROPN
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easat-11010	271	17	,	,	PUNCT
easat-11010	271	18	"	"	PUNCT
easat-11010	271	19	a	a	DET
easat-11010	271	20	novel	novel	ADJ
easat-11010	271	21	variational	variational	ADJ
easat-11010	271	22	bayesian	bayesian	NOUN
easat-11010	271	23	adaptive	adaptive	ADJ
easat-11010	271	24	kalman	kalman	PROPN
easat-11010	271	25	filter	filter	NOUN
easat-11010	271	26	with	with	ADP
easat-11010	271	27	mismatched	mismatched	ADJ
easat-11010	271	28	process	process	NOUN
easat-11010	271	29	noise	noise	NOUN
easat-11010	271	30	covariance	covariance	NOUN
easat-11010	271	31	matrix	matrix	NOUN
easat-11010	271	32	,	,	PUNCT
easat-11010	271	33	"	"	PUNCT
easat-11010	271	34	iet	iet	PROPN
easat-11010	271	35	radar	radar	NOUN
easat-11010	271	36	,	,	PUNCT
easat-11010	271	37	sonar	sonar	NOUN
easat-11010	271	38	&	&	CCONJ
easat-11010	271	39	navigation	navigation	NOUN
easat-11010	271	40	,	,	PUNCT
easat-11010	271	41	vol	vol	NOUN
easat-11010	271	42	.	.	PROPN
easat-11010	271	43	17	17	NUM
easat-11010	271	44	,	,	PUNCT
easat-11010	271	45	no	no	INTJ
easat-11010	271	46	.	.	NOUN
easat-11010	271	47	6	6	NUM
easat-11010	271	48	,	,	PUNCT
easat-11010	271	49	pp	pp	ADJ
easat-11010	271	50	.	.	PUNCT
easat-11010	272	1	967	967	NUM
easat-11010	272	2	-	-	SYM
easat-11010	272	3	977	977	NUM
easat-11010	272	4	,	,	PUNCT
easat-11010	272	5	2023	2023	NUM
easat-11010	272	6	.	.	PUNCT
easat-11010	273	1	https://doi.org/10.1049/rsn2.12391	https://doi.org/10.1049/rsn2.12391	PUNCT
easat-11010	274	1	[	[	X
easat-11010	274	2	20	20	NUM
easat-11010	274	3	]	]	PUNCT
easat-11010	274	4	r.	r.	PROPN
easat-11010	274	5	dehghannasiri	dehghannasiri	PROPN
easat-11010	274	6	,	,	PUNCT
easat-11010	274	7	m.	m.	NOUN
easat-11010	274	8	s.	s.	PROPN
easat-11010	274	9	esfahani	esfahani	PROPN
easat-11010	274	10	,	,	PUNCT
easat-11010	274	11	x.	x.	PROPN
easat-11010	274	12	qian	qian	PROPN
easat-11010	274	13	,	,	PUNCT
easat-11010	274	14	and	and	CCONJ
easat-11010	274	15	e.	e.	PROPN
easat-11010	274	16	r.	r.	PROPN
easat-11010	274	17	dougherty	dougherty	PROPN
easat-11010	274	18	,	,	PUNCT
easat-11010	274	19	"	"	PUNCT
easat-11010	274	20	optimal	optimal	ADJ
easat-11010	274	21	bayesian	bayesian	NOUN
easat-11010	274	22	kalman	kalman	NOUN
easat-11010	274	23	filtering	filter	VERB
easat-11010	274	24	with	with	ADP
easat-11010	274	25	prior	prior	ADJ
easat-11010	274	26	update	update	NOUN
easat-11010	274	27	,	,	PUNCT
easat-11010	274	28	"	"	PUNCT
easat-11010	274	29	ieee	ieee	NOUN
easat-11010	274	30	transactions	transaction	NOUN
easat-11010	274	31	on	on	ADP
easat-11010	274	32	signal	signal	ADJ
easat-11010	274	33	processing	processing	NOUN
easat-11010	274	34	,	,	PUNCT
easat-11010	274	35	vol	vol	NOUN
easat-11010	274	36	.	.	PROPN
easat-11010	275	1	66	66	NUM
easat-11010	275	2	,	,	PUNCT
easat-11010	275	3	no	no	INTJ
easat-11010	275	4	.	.	NOUN
easat-11010	275	5	8	8	NUM
easat-11010	275	6	,	,	PUNCT
easat-11010	275	7	pp	pp	ADJ
easat-11010	275	8	.	.	PUNCT
easat-11010	276	1	1982	1982	NUM
easat-11010	276	2	-	-	SYM
easat-11010	276	3	1996	1996	NUM
easat-11010	276	4	,	,	PUNCT
easat-11010	276	5	2018	2018	NUM
easat-11010	276	6	.	.	PUNCT
easat-11010	277	1	[	[	X
easat-11010	277	2	21	21	NUM
easat-11010	277	3	]	]	X
easat-11010	277	4	s.	s.	PROPN
easat-11010	277	5	sarkka	sarkka	VERB
easat-11010	277	6	and	and	CCONJ
easat-11010	277	7	a.	a.	NOUN
easat-11010	277	8	nummenmaa	nummenmaa	PROPN
easat-11010	277	9	,	,	PUNCT
easat-11010	277	10	"	"	PUNCT
easat-11010	277	11	recursive	recursive	ADJ
easat-11010	277	12	noise	noise	NOUN
easat-11010	277	13	adaptive	adaptive	ADJ
easat-11010	277	14	kalman	kalman	NOUN
easat-11010	277	15	filtering	filter	VERB
easat-11010	277	16	by	by	ADP
easat-11010	277	17	variational	variational	ADJ
easat-11010	277	18	bayesian	bayesian	NOUN
easat-11010	277	19	approximations	approximation	NOUN
easat-11010	277	20	,	,	PUNCT
easat-11010	277	21	"	"	PUNCT
easat-11010	277	22	ieee	ieee	NOUN
easat-11010	277	23	transactions	transaction	NOUN
easat-11010	277	24	on	on	ADP
easat-11010	277	25	automatic	automatic	ADJ
easat-11010	277	26	control	control	NOUN
easat-11010	277	27	,	,	PUNCT
easat-11010	277	28	vol	vol	NOUN
easat-11010	277	29	.	.	PROPN
easat-11010	277	30	54	54	NUM
easat-11010	277	31	,	,	PUNCT
easat-11010	277	32	no	no	INTJ
easat-11010	277	33	.	.	NOUN
easat-11010	277	34	3	3	NUM
easat-11010	277	35	,	,	PUNCT
easat-11010	277	36	pp	pp	ADJ
easat-11010	277	37	.	.	PUNCT
easat-11010	278	1	596	596	NUM
easat-11010	278	2	-	-	SYM
easat-11010	278	3	600	600	NUM
easat-11010	278	4	,	,	PUNCT
easat-11010	278	5	2009	2009	NUM
easat-11010	278	6	.	.	PUNCT
easat-11010	279	1	[	[	X
easat-11010	279	2	22	22	NUM
easat-11010	279	3	]	]	X
easat-11010	279	4	p.	p.	NOUN
easat-11010	279	5	lara	lara	PROPN
easat-11010	279	6	-	-	PUNCT
easat-11010	279	7	benítez	benítez	NOUN
easat-11010	279	8	,	,	PUNCT
easat-11010	279	9	m.	m.	NOUN
easat-11010	279	10	carranza	carranza	PROPN
easat-11010	279	11	-	-	PUNCT
easat-11010	279	12	garcía	garcía	ADJ
easat-11010	279	13	,	,	PUNCT
easat-11010	279	14	and	and	CCONJ
easat-11010	279	15	j.	j.	PROPN
easat-11010	279	16	c.	c.	PROPN
easat-11010	279	17	riquelme	riquelme	PROPN
easat-11010	279	18	,	,	PUNCT
easat-11010	279	19	"	"	PUNCT
easat-11010	279	20	an	an	DET
easat-11010	279	21	experimental	experimental	ADJ
easat-11010	279	22	review	review	NOUN
easat-11010	279	23	on	on	ADP
easat-11010	279	24	deep	deep	ADJ
easat-11010	279	25	learning	learning	NOUN
easat-11010	279	26	architectures	architecture	NOUN
easat-11010	279	27	for	for	ADP
easat-11010	279	28	time	time	NOUN
easat-11010	279	29	series	series	PROPN
easat-11010	279	30	forecasting	forecasting	NOUN
easat-11010	279	31	,	,	PUNCT
easat-11010	279	32	"	"	PUNCT
easat-11010	279	33	international	international	ADJ
easat-11010	279	34	journal	journal	NOUN
easat-11010	279	35	of	of	ADP
easat-11010	279	36	neural	neural	ADJ
easat-11010	279	37	systems	system	NOUN
easat-11010	279	38	,	,	PUNCT
easat-11010	279	39	vol	vol	NOUN
easat-11010	279	40	.	.	PROPN
easat-11010	279	41	31	31	NUM
easat-11010	279	42	,	,	PUNCT
easat-11010	279	43	no	no	INTJ
easat-11010	279	44	.	.	NOUN
easat-11010	279	45	03	03	NUM
easat-11010	279	46	,	,	PUNCT
easat-11010	279	47	p.	p.	NOUN
easat-11010	279	48	2130001	2130001	NUM
easat-11010	279	49	,	,	PUNCT
easat-11010	279	50	2021	2021	NUM
easat-11010	279	51	.	.	PUNCT
easat-11010	280	1	https://doi.org/10.1142/s0129065721300011	https://doi.org/10.1142/s0129065721300011	PRON
easat-11010	280	2	[	[	X
easat-11010	280	3	23	23	NUM
easat-11010	280	4	]	]	PUNCT
easat-11010	280	5	j.-e	j.-e	NOUN
easat-11010	280	6	.	.	PUNCT
easat-11010	281	1	liu	liu	PROPN
easat-11010	281	2	and	and	CCONJ
easat-11010	281	3	f.-p	f.-p	PROPN
easat-11010	281	4	.	.	PUNCT
easat-11010	282	1	an	an	DET
easat-11010	282	2	,	,	PUNCT
easat-11010	282	3	"	"	PUNCT
easat-11010	282	4	image	image	NOUN
easat-11010	282	5	classification	classification	NOUN
easat-11010	282	6	algorithm	algorithm	NOUN
easat-11010	282	7	based	base	VERB
easat-11010	282	8	on	on	ADP
easat-11010	282	9	deep	deep	ADJ
easat-11010	282	10	learning‐kernel	learning‐kernel	PROPN
easat-11010	282	11	function	function	NOUN
easat-11010	282	12	,	,	PUNCT
easat-11010	282	13	"	"	PUNCT
easat-11010	282	14	scientific	scientific	ADJ
easat-11010	282	15	programming	programming	NOUN
easat-11010	282	16	,	,	PUNCT
easat-11010	282	17	vol	vol	NOUN
easat-11010	282	18	.	.	PUNCT
easat-11010	282	19	2020	2020	NUM
easat-11010	282	20	,	,	PUNCT
easat-11010	282	21	no	no	INTJ
easat-11010	282	22	.	.	NOUN
easat-11010	282	23	1	1	NUM
easat-11010	282	24	,	,	PUNCT
easat-11010	282	25	p.	p.	NOUN
easat-11010	282	26	7607612	7607612	NUM
easat-11010	282	27	,	,	PUNCT
easat-11010	282	28	2020	2020	NUM
easat-11010	282	29	.	.	PUNCT
easat-11010	283	1	https://doi.org/10.1155/2020/7607612	https://doi.org/10.1155/2020/7607612	PROPN
easat-11010	284	1	[	[	X
easat-11010	284	2	24	24	NUM
easat-11010	284	3	]	]	PUNCT
easat-11010	284	4	j.	j.	PROPN
easat-11010	284	5	wang	wang	PROPN
easat-11010	284	6	,	,	PUNCT
easat-11010	284	7	l.	l.	PROPN
easat-11010	284	8	zhang	zhang	PROPN
easat-11010	284	9	,	,	PUNCT
easat-11010	284	10	and	and	CCONJ
easat-11010	284	11	z.	z.	PROPN
easat-11010	284	12	li	li	PROPN
easat-11010	284	13	,	,	PUNCT
easat-11010	284	14	"	"	PUNCT
easat-11010	284	15	interval	interval	NOUN
easat-11010	284	16	forecasting	forecasting	NOUN
easat-11010	284	17	system	system	NOUN
easat-11010	284	18	for	for	ADP
easat-11010	284	19	electricity	electricity	NOUN
easat-11010	284	20	load	load	NOUN
easat-11010	284	21	based	base	VERB
easat-11010	284	22	on	on	ADP
easat-11010	284	23	data	datum	NOUN
easat-11010	284	24	pre	pre	ADJ
easat-11010	284	25	-	-	ADJ
easat-11010	284	26	processing	processing	ADJ
easat-11010	284	27	strategy	strategy	NOUN
easat-11010	284	28	and	and	CCONJ
easat-11010	284	29	multi	multi	ADJ
easat-11010	284	30	-	-	ADJ
easat-11010	284	31	objective	objective	ADJ
easat-11010	284	32	optimization	optimization	NOUN
easat-11010	284	33	algorithm	algorithm	NOUN
easat-11010	284	34	,	,	PUNCT
easat-11010	284	35	"	"	PUNCT
easat-11010	284	36	applied	apply	VERB
easat-11010	284	37	energy	energy	NOUN
easat-11010	284	38	,	,	PUNCT
easat-11010	284	39	vol	vol	NOUN
easat-11010	284	40	.	.	NOUN
easat-11010	284	41	305	305	NUM
easat-11010	284	42	,	,	PUNCT
easat-11010	284	43	p.	p.	NOUN
easat-11010	284	44	117911	117911	NUM
easat-11010	284	45	,	,	PUNCT
easat-11010	284	46	2022	2022	NUM
easat-11010	284	47	.	.	PUNCT
easat-11010	285	1	https://doi.org/10.1016/j.apenergy.2021.117911	https://doi.org/10.1016/j.apenergy.2021.117911	PROPN
easat-11010	285	2	[	[	X
easat-11010	285	3	25	25	NUM
easat-11010	285	4	]	]	PUNCT
easat-11010	285	5	s.	s.	PROPN
easat-11010	285	6	akhtar	akhtar	PROPN
easat-11010	285	7	et	et	PROPN
easat-11010	285	8	al	al	PROPN
easat-11010	285	9	.	.	PROPN
easat-11010	285	10	,	,	PUNCT
easat-11010	285	11	"	"	PUNCT
easat-11010	285	12	short	short	ADJ
easat-11010	285	13	-	-	PUNCT
easat-11010	285	14	term	term	NOUN
easat-11010	285	15	load	load	NOUN
easat-11010	285	16	forecasting	forecasting	NOUN
easat-11010	285	17	models	model	NOUN
easat-11010	285	18	:	:	PUNCT
easat-11010	285	19	a	a	DET
easat-11010	285	20	review	review	NOUN
easat-11010	285	21	of	of	ADP
easat-11010	285	22	challenges	challenge	NOUN
easat-11010	285	23	,	,	PUNCT
easat-11010	285	24	progress	progress	NOUN
easat-11010	285	25	,	,	PUNCT
easat-11010	285	26	and	and	CCONJ
easat-11010	285	27	the	the	DET
easat-11010	285	28	road	road	NOUN
easat-11010	285	29	ahead	ahead	ADV
easat-11010	285	30	,	,	PUNCT
easat-11010	285	31	"	"	PUNCT
easat-11010	285	32	energies	energy	NOUN
easat-11010	285	33	,	,	PUNCT
easat-11010	285	34	vol	vol	NOUN
easat-11010	285	35	.	.	PROPN
easat-11010	285	36	16	16	NUM
easat-11010	285	37	,	,	PUNCT
easat-11010	285	38	no	no	INTJ
easat-11010	285	39	.	.	NOUN
easat-11010	285	40	10	10	NUM
easat-11010	285	41	,	,	PUNCT
easat-11010	285	42	p.	p.	NOUN
easat-11010	285	43	4060	4060	NUM
easat-11010	285	44	,	,	PUNCT
easat-11010	285	45	2023	2023	NUM
easat-11010	285	46	.	.	PUNCT
easat-11010	286	1	https://doi.org/10.3390/en16104060	https://doi.org/10.3390/en16104060	NOUN
easat-11010	287	1	[	[	X
easat-11010	287	2	26	26	NUM
easat-11010	287	3	]	]	X
easat-11010	287	4	f.	f.	PROPN
easat-11010	287	5	he	he	PRON
easat-11010	287	6	,	,	PUNCT
easat-11010	287	7	h.	h.	PROPN
easat-11010	287	8	zhang	zhang	PROPN
easat-11010	287	9	,	,	PUNCT
easat-11010	287	10	q.	q.	PROPN
easat-11010	287	11	wan	wan	PROPN
easat-11010	287	12	,	,	PUNCT
easat-11010	287	13	s.	s.	PROPN
easat-11010	287	14	chen	chen	PROPN
easat-11010	287	15	,	,	PUNCT
easat-11010	287	16	and	and	CCONJ
easat-11010	287	17	y.	y.	PROPN
easat-11010	287	18	yang	yang	PROPN
easat-11010	287	19	,	,	PUNCT
easat-11010	287	20	"	"	PUNCT
easat-11010	287	21	medium	medium	ADJ
easat-11010	287	22	term	term	NOUN
easat-11010	287	23	streamflow	streamflow	NOUN
easat-11010	287	24	prediction	prediction	NOUN
easat-11010	287	25	based	base	VERB
easat-11010	287	26	on	on	ADP
easat-11010	287	27	bayesian	bayesian	NOUN
easat-11010	287	28	model	model	NOUN
easat-11010	287	29	averaging	average	VERB
easat-11010	287	30	using	use	VERB
easat-11010	287	31	multiple	multiple	ADJ
easat-11010	287	32	machine	machine	NOUN
easat-11010	287	33	learning	learning	NOUN
easat-11010	287	34	models	model	NOUN
easat-11010	287	35	,	,	PUNCT
easat-11010	287	36	"	"	PUNCT
easat-11010	287	37	water	water	NOUN
easat-11010	287	38	,	,	PUNCT
easat-11010	287	39	vol	vol	NOUN
easat-11010	287	40	.	.	PROPN
easat-11010	287	41	15	15	NUM
easat-11010	287	42	,	,	PUNCT
easat-11010	287	43	no	no	INTJ
easat-11010	287	44	.	.	NOUN
easat-11010	287	45	8	8	NUM
easat-11010	287	46	,	,	PUNCT
easat-11010	287	47	p.	p.	NOUN
easat-11010	287	48	1548	1548	NUM
easat-11010	287	49	,	,	PUNCT
easat-11010	287	50	2023	2023	NUM
easat-11010	287	51	.	.	PUNCT
easat-11010	288	1	https://doi.org/10.3390/w15081548	https://doi.org/10.3390/w15081548	PRON
easat-11010	288	2	[	[	NOUN
easat-11010	288	3	27	27	NUM
easat-11010	288	4	]	]	PUNCT
easat-11010	288	5	a.	a.	NOUN
easat-11010	288	6	ashraf	ashraf	PROPN
easat-11010	288	7	and	and	CCONJ
easat-11010	288	8	s.	s.	PROPN
easat-11010	288	9	s.	s.	PROPN
easat-11010	288	10	haroon	haroon	PROPN
easat-11010	288	11	,	,	PUNCT
easat-11010	288	12	"	"	PUNCT
easat-11010	288	13	short	short	ADJ
easat-11010	288	14	-	-	PUNCT
easat-11010	288	15	term	term	NOUN
easat-11010	288	16	load	load	NOUN
easat-11010	288	17	forecasting	forecasting	NOUN
easat-11010	288	18	based	base	VERB
easat-11010	288	19	on	on	ADP
easat-11010	288	20	bayesian	bayesian	NOUN
easat-11010	288	21	ridge	ridge	NOUN
easat-11010	288	22	regression	regression	NOUN
easat-11010	288	23	coupled	couple	VERB
easat-11010	288	24	with	with	ADP
easat-11010	288	25	an	an	DET
easat-11010	288	26	optimal	optimal	ADJ
easat-11010	288	27	feature	feature	NOUN
easat-11010	288	28	selection	selection	NOUN
easat-11010	288	29	technique	technique	NOUN
easat-11010	288	30	,	,	PUNCT
easat-11010	288	31	"	"	PUNCT
easat-11010	288	32	international	international	ADJ
easat-11010	288	33	journal	journal	NOUN
easat-11010	288	34	of	of	ADP
easat-11010	288	35	advanced	advanced	ADJ
easat-11010	288	36	natural	natural	ADJ
easat-11010	288	37	sciences	science	NOUN
easat-11010	288	38	and	and	CCONJ
easat-11010	288	39	engineering	engineering	NOUN
easat-11010	288	40	researches	research	NOUN
easat-11010	288	41	,	,	PUNCT
easat-11010	288	42	vol	vol	NOUN
easat-11010	288	43	.	.	PROPN
easat-11010	288	44	7	7	NUM
easat-11010	288	45	,	,	PUNCT
easat-11010	288	46	no	no	INTJ
easat-11010	288	47	.	.	NOUN
easat-11010	288	48	4	4	NUM
easat-11010	288	49	,	,	PUNCT
easat-11010	288	50	pp	pp	ADJ
easat-11010	288	51	.	.	PUNCT
easat-11010	289	1	435–441	435–441	NUM
easat-11010	289	2	,	,	PUNCT
easat-11010	289	3	2023	2023	NUM
easat-11010	289	4	.	.	PUNCT
easat-11010	290	1	https://doi.org/10.59287/ijanser.787	https://doi.org/10.59287/ijanser.787	PROPN
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easat-11010	291	2	28	28	NUM
easat-11010	291	3	]	]	X
easat-11010	291	4	b.	b.	PROPN
easat-11010	291	5	yan	yan	PROPN
easat-11010	291	6	,	,	PUNCT
easat-11010	291	7	x.	x.	PROPN
easat-11010	291	8	li	li	PROPN
easat-11010	291	9	,	,	PUNCT
easat-11010	291	10	w.	w.	PROPN
easat-11010	291	11	shi	shi	PROPN
easat-11010	291	12	,	,	PUNCT
easat-11010	291	13	x.	x.	PROPN
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easat-11010	291	15	,	,	PUNCT
easat-11010	291	16	and	and	CCONJ
easat-11010	291	17	a.	a.	NOUN
easat-11010	291	18	malkawi	malkawi	PROPN
easat-11010	291	19	,	,	PUNCT
easat-11010	291	20	"	"	PUNCT
easat-11010	291	21	forecasting	forecast	VERB
easat-11010	291	22	building	build	VERB
easat-11010	291	23	energy	energy	NOUN
easat-11010	291	24	demand	demand	NOUN
easat-11010	291	25	under	under	ADP
easat-11010	291	26	uncertainty	uncertainty	NOUN
easat-11010	291	27	using	use	VERB
easat-11010	291	28	gaussian	gaussian	ADJ
easat-11010	291	29	process	process	NOUN
easat-11010	291	30	regression	regression	NOUN
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easat-11010	291	41	a	a	DET
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easat-11010	291	44	based	base	VERB
easat-11010	291	45	tool	tool	NOUN
easat-11010	291	46	,	,	PUNCT
easat-11010	291	47	"	"	PUNCT
easat-11010	291	48	in	in	ADP
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easat-11010	291	50	simulation	simulation	NOUN
easat-11010	291	51	2017	2017	NUM
easat-11010	291	52	(	(	PUNCT
easat-11010	291	53	vol	vol	NOUN
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easat-11010	291	58	.	.	PUNCT
easat-11010	292	1	545	545	NUM
easat-11010	292	2	-	-	SYM
easat-11010	292	3	554	554	NUM
easat-11010	292	4	)	)	PUNCT
easat-11010	292	5	.	.	PUNCT
easat-11010	293	1	ibpsa	ibpsa	NOUN
easat-11010	293	2	,	,	PUNCT
easat-11010	293	3	2017	2017	NUM
easat-11010	293	4	.	.	PUNCT
easat-11010	294	1	[	[	X
easat-11010	294	2	29	29	NUM
easat-11010	294	3	]	]	PUNCT
easat-11010	294	4	a.	a.	PROPN
easat-11010	294	5	al	al	PROPN
easat-11010	294	6	mamun	mamun	PROPN
easat-11010	294	7	,	,	PUNCT
easat-11010	294	8	m.	m.	PROPN
easat-11010	294	9	sohel	sohel	PROPN
easat-11010	294	10	,	,	PUNCT
easat-11010	294	11	n.	n.	PROPN
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easat-11010	294	15	s.	s.	PROPN
easat-11010	294	16	h.	h.	PROPN
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easat-11010	294	18	,	,	PUNCT
easat-11010	294	19	d.	d.	PROPN
easat-11010	294	20	r.	r.	PROPN
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easat-11010	294	22	,	,	PUNCT
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easat-11010	294	24	e.	e.	PROPN
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easat-11010	294	28	a	a	DET
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easat-11010	294	33	load	load	NOUN
easat-11010	294	34	forecasting	forecasting	NOUN
easat-11010	294	35	techniques	technique	NOUN
easat-11010	294	36	using	use	VERB
easat-11010	294	37	single	single	ADJ
easat-11010	294	38	and	and	CCONJ
easat-11010	294	39	hybrid	hybrid	ADJ
easat-11010	294	40	predictive	predictive	ADJ
easat-11010	294	41	models	model	NOUN
easat-11010	294	42	,	,	PUNCT
easat-11010	294	43	"	"	PUNCT
easat-11010	294	44	ieee	ieee	NOUN
easat-11010	294	45	access	access	NOUN
easat-11010	294	46	,	,	PUNCT
easat-11010	294	47	vol	vol	NOUN
easat-11010	294	48	.	.	PROPN
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easat-11010	294	50	,	,	PUNCT
easat-11010	294	51	pp	pp	ADJ
easat-11010	294	52	.	.	PUNCT
easat-11010	295	1	134911	134911	NUM
easat-11010	295	2	-	-	SYM
easat-11010	295	3	134939	134939	NUM
easat-11010	295	4	,	,	PUNCT
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easat-11010	295	6	.	.	PUNCT
easat-11010	296	1	[	[	X
easat-11010	296	2	30	30	NUM
easat-11010	296	3	]	]	X
easat-11010	296	4	b.	b.	PROPN
easat-11010	296	5	a.	a.	PROPN
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easat-11010	296	13	a.	a.	PROPN
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easat-11010	296	15	,	,	PUNCT
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easat-11010	296	24	and	and	CCONJ
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easat-11010	296	26	o.	o.	PROPN
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easat-11010	296	30	building	build	VERB
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easat-11010	296	42	tree	tree	NOUN
easat-11010	296	43	-	-	PUNCT
easat-11010	296	44	based	base	VERB
easat-11010	296	45	model	model	NOUN
easat-11010	296	46	,	,	PUNCT
easat-11010	296	47	"	"	PUNCT
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easat-11010	296	57	,	,	PUNCT
easat-11010	296	58	p.	p.	NOUN
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easat-11010	296	60	,	,	PUNCT
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easat-11010	297	1	https://doi.org/10.1016/j.cscm.2023.e02676	https://doi.org/10.1016/j.cscm.2023.e02676	X
easat-11010	298	1	[	[	X
easat-11010	298	2	31	31	NUM
easat-11010	298	3	]	]	PUNCT
easat-11010	298	4	m.	m.	NOUN
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easat-11010	298	6	,	,	PUNCT
easat-11010	298	7	s.	s.	PROPN
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easat-11010	298	10	m.	m.	PROPN
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easat-11010	298	20	,	,	PUNCT
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easat-11010	298	33	,	,	PUNCT
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easat-11010	299	6	,	,	PUNCT
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easat-11010	300	1	66	66	NUM
easat-11010	300	2	-	-	SYM
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easat-11010	300	4	,	,	PUNCT
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easat-11010	300	6	.	.	PUNCT
easat-11010	301	1	https://doi.org/10.1002/ep.12934	https://doi.org/10.1002/ep.12934	X
easat-11010	302	1	[	[	X
easat-11010	302	2	32	32	NUM
easat-11010	302	3	]	]	PUNCT
easat-11010	302	4	c.	c.	PROPN
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easat-11010	302	47	1	1	NUM
easat-11010	302	48	,	,	PUNCT
easat-11010	302	49	pp	pp	ADJ
easat-11010	302	50	.	.	PUNCT
easat-11010	303	1	223	223	NUM
easat-11010	303	2	-	-	SYM
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easat-11010	303	4	,	,	PUNCT
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easat-11010	304	1	https://doi.org/10.1214/20-ba1251	https://doi.org/10.1214/20-ba1251	X
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easat-11010	305	2	33	33	NUM
easat-11010	305	3	]	]	PUNCT
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easat-11010	305	43	,	,	PUNCT
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easat-11010	305	46	1	1	NUM
easat-11010	305	47	,	,	PUNCT
easat-11010	305	48	p.	p.	NOUN
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easat-11010	305	50	,	,	PUNCT
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easat-11010	306	1	https://doi.org/10.1007/s11222021-10075-x	https://doi.org/10.1007/s11222021-10075-x	X
easat-11010	307	1	[	[	X
easat-11010	307	2	34	34	NUM
easat-11010	307	3	]	]	PUNCT
easat-11010	307	4	m.	m.	PROPN
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easat-11010	307	9	gamage	gamage	NOUN
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easat-11010	307	14	and	and	CCONJ
easat-11010	307	15	m.	m.	PROPN
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easat-11010	307	43	,	,	PUNCT
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easat-11010	307	45	.	.	NOUN
easat-11010	307	46	12	12	NUM
easat-11010	307	47	,	,	PUNCT
easat-11010	307	48	p.	p.	NOUN
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easat-11010	307	50	,	,	PUNCT
easat-11010	307	51	2022	2022	NUM
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easat-11010	308	1	https://doi.org/10.3390/s22124446	https://doi.org/10.3390/s22124446	PRON
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easat-11010	308	3	https://doi.org/10.1007/s00500-021-06362-4	https://doi.org/10.1007/s00500-021-06362-4	NUM
easat-11010	308	4	https://doi.org/10.1155/2021/9409560	https://doi.org/10.1155/2021/9409560	PROPN
easat-11010	308	5	https://doi.org/10.1016/j.ymssp.2024.111852	https://doi.org/10.1016/j.ymssp.2024.111852	PROPN
easat-11010	308	6	https://doi.org/10.1016/j.apenergy.2019.05.068	https://doi.org/10.1016/j.apenergy.2019.05.068	PROPN
easat-11010	308	7	https://doi.org/10.1049/rsn2.12391	https://doi.org/10.1049/rsn2.12391	PUNCT
easat-11010	308	8	https://doi.org/10.1142/s0129065721300011	https://doi.org/10.1142/s0129065721300011	NUM
easat-11010	308	9	https://doi.org/10.1155/2020/7607612	https://doi.org/10.1155/2020/7607612	PROPN
easat-11010	308	10	https://doi.org/10.1016/j.apenergy.2021.117911	https://doi.org/10.1016/j.apenergy.2021.117911	PROPN
easat-11010	308	11	https://doi.org/10.3390/en16104060	https://doi.org/10.3390/en16104060	NOUN
easat-11010	308	12	https://doi.org/10.3390/w15081548	https://doi.org/10.3390/w15081548	PROPN
easat-11010	308	13	https://doi.org/10.59287/ijanser.787	https://doi.org/10.59287/ijanser.787	VERB
easat-11010	308	14	https://doi.org/10.1016/j.cscm.2023.e02676	https://doi.org/10.1016/j.cscm.2023.e02676	PRON
easat-11010	308	15	https://doi.org/10.1002/ep.12934	https://doi.org/10.1002/ep.12934	PROPN
easat-11010	308	16	https://doi.org/10.1214/20-ba1251	https://doi.org/10.1214/20-ba1251	PROPN
easat-11010	308	17	https://doi.org/10.1007/s11222-021-10075-x	https://doi.org/10.1007/s11222-021-10075-x	PROPN
easat-11010	308	18	https://doi.org/10.1007/s11222-021-10075-x	https://doi.org/10.1007/s11222-021-10075-x	PROPN
easat-11010	308	19	https://doi.org/10.3390/s22124446	https://doi.org/10.3390/s22124446	PROPN
easat-11010	308	20	852	852	NUM
easat-11010	308	21	edelweiss	edelweiss	PROPN
easat-11010	308	22	applied	apply	VERB
easat-11010	308	23	science	science	NOUN
easat-11010	308	24	and	and	CCONJ
easat-11010	308	25	technology	technology	NOUN
easat-11010	308	26	issn	issn	PROPN
easat-11010	308	27	:	:	PUNCT
easat-11010	308	28	2576	2576	NUM
easat-11010	308	29	-	-	SYM
easat-11010	308	30	8484	8484	NUM
easat-11010	308	31	vol	vol	NOUN
easat-11010	308	32	.	.	PROPN
easat-11010	309	1	9	9	NUM
easat-11010	309	2	,	,	PUNCT
easat-11010	309	3	no	no	INTJ
easat-11010	309	4	.	.	NOUN
easat-11010	309	5	11	11	NUM
easat-11010	309	6	:	:	PUNCT
easat-11010	309	7	839	839	NUM
easat-11010	309	8	-	-	NUM
easat-11010	309	9	852	852	NUM
easat-11010	309	10	,	,	PUNCT
easat-11010	309	11	2025	2025	NUM
easat-11010	309	12	doi	doi	NOUN
easat-11010	309	13	:	:	PUNCT
easat-11010	309	14	10.55214/2576	10.55214/2576	NUM
easat-11010	309	15	-	-	SYM
easat-11010	309	16	8484.v9i11.11010	8484.v9i11.11010	NUM
easat-11010	309	17	©	©	ADP
easat-11010	309	18	2025	2025	NUM
easat-11010	309	19	by	by	ADP
easat-11010	309	20	the	the	DET
easat-11010	309	21	authors	author	NOUN
easat-11010	309	22	;	;	PUNCT
easat-11010	309	23	licensee	licensee	PROPN
easat-11010	309	24	learning	learning	NOUN
easat-11010	309	25	gate	gate	NOUN
easat-11010	310	1	[	[	X
easat-11010	310	2	35	35	NUM
easat-11010	310	3	]	]	X
easat-11010	310	4	j.	j.	PROPN
easat-11010	310	5	kwon	kwon	PROPN
easat-11010	310	6	and	and	CCONJ
easat-11010	310	7	d.	d.	PROPN
easat-11010	310	8	park	park	PROPN
easat-11010	310	9	,	,	PUNCT
easat-11010	310	10	"	"	PUNCT
easat-11010	310	11	efficient	efficient	ADJ
easat-11010	310	12	sensor	sensor	NOUN
easat-11010	310	13	processing	processing	NOUN
easat-11010	310	14	technique	technique	NOUN
easat-11010	310	15	using	use	VERB
easat-11010	310	16	kalman	kalman	PROPN
easat-11010	310	17	filter	filter	NOUN
easat-11010	310	18	-	-	PUNCT
easat-11010	310	19	based	base	VERB
easat-11010	310	20	velocity	velocity	NOUN
easat-11010	310	21	prediction	prediction	NOUN
easat-11010	310	22	in	in	ADP
easat-11010	310	23	largescale	largescale	NOUN
easat-11010	310	24	vehicle	vehicle	NOUN
easat-11010	310	25	iot	iot	NOUN
easat-11010	310	26	application	application	NOUN
easat-11010	310	27	,	,	PUNCT
easat-11010	310	28	"	"	PUNCT
easat-11010	310	29	ieee	ieee	NOUN
easat-11010	310	30	access	access	NOUN
easat-11010	310	31	,	,	PUNCT
easat-11010	310	32	vol	vol	NOUN
easat-11010	310	33	.	.	PROPN
easat-11010	310	34	10	10	NUM
easat-11010	310	35	,	,	PUNCT
easat-11010	310	36	pp	pp	ADJ
easat-11010	310	37	.	.	PUNCT
easat-11010	311	1	116735	116735	NUM
easat-11010	311	2	-	-	SYM
easat-11010	311	3	116746	116746	NUM
easat-11010	311	4	,	,	PUNCT
easat-11010	311	5	2022	2022	NUM
easat-11010	311	6	.	.	PUNCT
easat-11010	312	1	[	[	X
easat-11010	312	2	36	36	NUM
easat-11010	312	3	]	]	X
easat-11010	312	4	s.	s.	PROPN
easat-11010	312	5	karthik	karthik	PROPN
easat-11010	312	6	et	et	PROPN
easat-11010	312	7	al	al	PROPN
easat-11010	312	8	.	.	PROPN
easat-11010	312	9	,	,	PUNCT
easat-11010	312	10	"	"	PUNCT
easat-11010	312	11	prognostic	prognostic	ADJ
easat-11010	312	12	kalman	kalman	NOUN
easat-11010	312	13	filter	filter	NOUN
easat-11010	312	14	based	base	VERB
easat-11010	312	15	bayesian	bayesian	PROPN
easat-11010	312	16	learning	learn	VERB
easat-11010	312	17	model	model	NOUN
easat-11010	312	18	for	for	ADP
easat-11010	312	19	data	datum	NOUN
easat-11010	312	20	accuracy	accuracy	NOUN
easat-11010	312	21	prediction	prediction	NOUN
easat-11010	312	22	,	,	PUNCT
easat-11010	312	23	"	"	PUNCT
easat-11010	312	24	computers	computer	NOUN
easat-11010	312	25	,	,	PUNCT
easat-11010	312	26	materials	material	NOUN
easat-11010	312	27	&	&	CCONJ
easat-11010	312	28	continua	continua	PROPN
easat-11010	312	29	,	,	PUNCT
easat-11010	312	30	vol	vol	NOUN
easat-11010	312	31	.	.	PROPN
easat-11010	312	32	72	72	NUM
easat-11010	312	33	,	,	PUNCT
easat-11010	312	34	no	no	INTJ
easat-11010	312	35	.	.	NOUN
easat-11010	312	36	1	1	NUM
easat-11010	312	37	,	,	PUNCT
easat-11010	312	38	pp	pp	ADJ
easat-11010	312	39	.	.	PUNCT
easat-11010	313	1	243–259	243–259	NUM
easat-11010	313	2	,	,	PUNCT
easat-11010	313	3	2022	2022	NUM
easat-11010	313	4	.	.	PUNCT
easat-11010	314	1	https://doi.org/10.32604/cmc.2022.023864	https://doi.org/10.32604/cmc.2022.023864	VERB
easat-11010	315	1	[	[	X
easat-11010	315	2	37	37	NUM
easat-11010	315	3	]	]	X
easat-11010	315	4	q.	q.	PROPN
easat-11010	315	5	fu	fu	PROPN
easat-11010	315	6	,	,	PUNCT
easat-11010	315	7	l.	l.	PROPN
easat-11010	315	8	wang	wang	PROPN
easat-11010	315	9	,	,	PUNCT
easat-11010	315	10	q.	q.	PROPN
easat-11010	315	11	xie	xie	PROPN
easat-11010	315	12	,	,	PUNCT
easat-11010	315	13	and	and	CCONJ
easat-11010	315	14	y.	y.	PROPN
easat-11010	315	15	zhou	zhou	PROPN
easat-11010	315	16	,	,	PUNCT
easat-11010	315	17	"	"	PUNCT
easat-11010	315	18	an	an	DET
easat-11010	315	19	improved	improved	ADJ
easat-11010	315	20	adaptive	adaptive	ADJ
easat-11010	315	21	iterative	iterative	NOUN
easat-11010	315	22	extended	extend	VERB
easat-11010	315	23	kalman	kalman	NOUN
easat-11010	315	24	filter	filter	NOUN
easat-11010	315	25	based	base	VERB
easat-11010	315	26	on	on	ADP
easat-11010	315	27	variational	variational	ADJ
easat-11010	315	28	bayesian	bayesian	NOUN
easat-11010	315	29	,	,	PUNCT
easat-11010	315	30	"	"	PUNCT
easat-11010	315	31	applied	apply	VERB
easat-11010	315	32	sciences	science	NOUN
easat-11010	315	33	,	,	PUNCT
easat-11010	315	34	vol	vol	NOUN
easat-11010	315	35	.	.	PROPN
easat-11010	315	36	14	14	NUM
easat-11010	315	37	,	,	PUNCT
easat-11010	315	38	no	no	INTJ
easat-11010	315	39	.	.	NOUN
easat-11010	315	40	4	4	NUM
easat-11010	315	41	,	,	PUNCT
easat-11010	315	42	p.	p.	NOUN
easat-11010	315	43	1393	1393	NUM
easat-11010	315	44	,	,	PUNCT
easat-11010	315	45	2024	2024	NUM
easat-11010	315	46	.	.	PUNCT
easat-11010	316	1	https://doi.org/10.3390/app14041393	https://doi.org/10.3390/app14041393	PROPN
easat-11010	317	1	[	[	X
easat-11010	317	2	38	38	NUM
easat-11010	317	3	]	]	PUNCT
easat-11010	317	4	s.	s.	PROPN
easat-11010	317	5	m.	m.	PROPN
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easat-11010	317	7	,	,	PUNCT
easat-11010	317	8	a.	a.	NOUN
easat-11010	317	9	rasheed	rasheed	NOUN
easat-11010	317	10	,	,	PUNCT
easat-11010	317	11	p.	p.	PROPN
easat-11010	317	12	kil	kil	PROPN
easat-11010	317	13	-	-	PUNCT
easat-11010	317	14	heum	heum	NOUN
easat-11010	317	15	,	,	PUNCT
easat-11010	317	16	and	and	CCONJ
easat-11010	317	17	k.	k.	PROPN
easat-11010	317	18	c.	c.	PROPN
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easat-11010	317	20	,	,	PUNCT
easat-11010	317	21	"	"	PUNCT
easat-11010	317	22	fast	fast	ADJ
easat-11010	317	23	and	and	CCONJ
easat-11010	317	24	accurate	accurate	ADJ
easat-11010	317	25	short	short	ADJ
easat-11010	317	26	-	-	PUNCT
easat-11010	317	27	term	term	NOUN
easat-11010	317	28	load	load	NOUN
easat-11010	317	29	forecasting	forecasting	NOUN
easat-11010	317	30	with	with	ADP
easat-11010	317	31	a	a	DET
easat-11010	317	32	hybrid	hybrid	ADJ
easat-11010	317	33	model	model	NOUN
easat-11010	317	34	,	,	PUNCT
easat-11010	317	35	"	"	PUNCT
easat-11010	317	36	electronics	electronic	NOUN
easat-11010	317	37	,	,	PUNCT
easat-11010	317	38	vol	vol	NOUN
easat-11010	317	39	.	.	PROPN
easat-11010	317	40	13	13	NUM
easat-11010	317	41	,	,	PUNCT
easat-11010	317	42	no	no	INTJ
easat-11010	317	43	.	.	NOUN
easat-11010	317	44	6	6	NUM
easat-11010	317	45	,	,	PUNCT
easat-11010	317	46	p.	p.	NOUN
easat-11010	317	47	1079	1079	NUM
easat-11010	317	48	,	,	PUNCT
easat-11010	317	49	2024	2024	NUM
easat-11010	317	50	.	.	PUNCT
easat-11010	318	1	https://doi.org/10.3390/electronics13061079	https://doi.org/10.3390/electronics13061079	PROPN
easat-11010	318	2	[	[	X
easat-11010	318	3	39	39	NUM
easat-11010	318	4	]	]	PUNCT
easat-11010	318	5	s.	s.	PROPN
easat-11010	318	6	ali	ali	PROPN
easat-11010	318	7	,	,	PUNCT
easat-11010	318	8	s.	s.	PROPN
easat-11010	318	9	bogarra	bogarra	PROPN
easat-11010	318	10	,	,	PUNCT
easat-11010	318	11	m.	m.	NOUN
easat-11010	318	12	n.	n.	PROPN
easat-11010	318	13	riaz	riaz	PROPN
easat-11010	318	14	,	,	PUNCT
easat-11010	318	15	p.	p.	NOUN
easat-11010	318	16	p.	p.	PROPN
easat-11010	318	17	phyo	phyo	PROPN
easat-11010	318	18	,	,	PUNCT
easat-11010	318	19	d.	d.	PROPN
easat-11010	318	20	flynn	flynn	PROPN
easat-11010	318	21	,	,	PUNCT
easat-11010	318	22	and	and	CCONJ
easat-11010	318	23	a.	a.	NOUN
easat-11010	318	24	taha	taha	PROPN
easat-11010	318	25	,	,	PUNCT
easat-11010	318	26	"	"	PUNCT
easat-11010	318	27	from	from	ADP
easat-11010	318	28	time	time	NOUN
easat-11010	318	29	-	-	PUNCT
easat-11010	318	30	series	series	NOUN
easat-11010	318	31	to	to	ADP
easat-11010	318	32	hybrid	hybrid	ADJ
easat-11010	318	33	models	model	NOUN
easat-11010	318	34	:	:	PUNCT
easat-11010	318	35	advancements	advancement	NOUN
easat-11010	318	36	in	in	ADP
easat-11010	318	37	short	short	ADJ
easat-11010	318	38	-	-	PUNCT
easat-11010	318	39	term	term	NOUN
easat-11010	318	40	load	load	NOUN
easat-11010	318	41	forecasting	forecasting	NOUN
easat-11010	318	42	embracing	embrace	VERB
easat-11010	318	43	smart	smart	ADJ
easat-11010	318	44	grid	grid	NOUN
easat-11010	318	45	paradigm	paradigm	NOUN
easat-11010	318	46	,	,	PUNCT
easat-11010	318	47	"	"	PUNCT
easat-11010	318	48	applied	apply	VERB
easat-11010	318	49	sciences	science	NOUN
easat-11010	318	50	,	,	PUNCT
easat-11010	318	51	vol	vol	NOUN
easat-11010	318	52	.	.	PROPN
easat-11010	318	53	14	14	NUM
easat-11010	318	54	,	,	PUNCT
easat-11010	318	55	no	no	INTJ
easat-11010	318	56	.	.	NOUN
easat-11010	318	57	11	11	NUM
easat-11010	318	58	,	,	PUNCT
easat-11010	318	59	p.	p.	NOUN
easat-11010	318	60	4442	4442	NUM
easat-11010	318	61	,	,	PUNCT
easat-11010	318	62	2024	2024	NUM
easat-11010	318	63	.	.	PUNCT
easat-11010	319	1	https://doi.org/10.3390/app14114442	https://doi.org/10.3390/app14114442	PROPN
easat-11010	319	2	[	[	PUNCT
easat-11010	319	3	40	40	NUM
easat-11010	319	4	]	]	PUNCT
easat-11010	319	5	r.	r.	PROPN
easat-11010	319	6	cottet	cottet	PROPN
easat-11010	319	7	and	and	CCONJ
easat-11010	319	8	m.	m.	PROPN
easat-11010	319	9	smith	smith	PROPN
easat-11010	319	10	,	,	PUNCT
easat-11010	319	11	"	"	PUNCT
easat-11010	319	12	bayesian	bayesian	NOUN
easat-11010	319	13	modeling	modeling	NOUN
easat-11010	319	14	and	and	CCONJ
easat-11010	319	15	forecasting	forecasting	NOUN
easat-11010	319	16	of	of	ADP
easat-11010	319	17	intraday	intraday	NOUN
easat-11010	319	18	electricity	electricity	NOUN
easat-11010	319	19	load	load	NOUN
easat-11010	319	20	,	,	PUNCT
easat-11010	319	21	"	"	PUNCT
easat-11010	319	22	journal	journal	NOUN
easat-11010	319	23	of	of	ADP
easat-11010	319	24	the	the	DET
easat-11010	319	25	american	american	PROPN
easat-11010	319	26	statistical	statistical	PROPN
easat-11010	319	27	association	association	PROPN
easat-11010	319	28	,	,	PUNCT
easat-11010	319	29	vol	vol	NOUN
easat-11010	319	30	.	.	PROPN
easat-11010	320	1	98	98	NUM
easat-11010	320	2	,	,	PUNCT
easat-11010	320	3	no	no	INTJ
easat-11010	320	4	.	.	NOUN
easat-11010	321	1	464	464	NUM
easat-11010	321	2	,	,	PUNCT
easat-11010	321	3	pp	pp	ADJ
easat-11010	321	4	.	.	PUNCT
easat-11010	322	1	839	839	NUM
easat-11010	322	2	-	-	SYM
easat-11010	322	3	849	849	NUM
easat-11010	322	4	,	,	PUNCT
easat-11010	322	5	2003	2003	NUM
easat-11010	322	6	.	.	PUNCT
easat-11010	323	1	https://doi.org/10.1198/016214503000000774	https://doi.org/10.1198/016214503000000774	X
easat-11010	324	1	[	[	X
easat-11010	324	2	41	41	NUM
easat-11010	324	3	]	]	PUNCT
easat-11010	324	4	s.	s.	PROPN
easat-11010	324	5	zheng	zheng	PROPN
easat-11010	324	6	,	,	PUNCT
easat-11010	324	7	q.	q.	PROPN
easat-11010	324	8	zhong	zhong	PROPN
easat-11010	324	9	,	,	PUNCT
easat-11010	324	10	l.	l.	PROPN
easat-11010	324	11	peng	peng	PROPN
easat-11010	324	12	,	,	PUNCT
easat-11010	324	13	and	and	CCONJ
easat-11010	324	14	x.	x.	NOUN
easat-11010	324	15	chai	chai	NOUN
easat-11010	324	16	,	,	PUNCT
easat-11010	324	17	"	"	PUNCT
easat-11010	324	18	a	a	DET
easat-11010	324	19	simple	simple	ADJ
easat-11010	324	20	method	method	NOUN
easat-11010	324	21	of	of	ADP
easat-11010	324	22	residential	residential	ADJ
easat-11010	324	23	electricity	electricity	NOUN
easat-11010	324	24	load	load	NOUN
easat-11010	324	25	forecasting	forecasting	NOUN
easat-11010	324	26	by	by	ADP
easat-11010	324	27	improved	improved	ADJ
easat-11010	324	28	bayesian	bayesian	NOUN
easat-11010	324	29	neural	neural	ADJ
easat-11010	324	30	networks	network	NOUN
easat-11010	324	31	,	,	PUNCT
easat-11010	324	32	"	"	PUNCT
easat-11010	324	33	mathematical	mathematical	ADJ
easat-11010	324	34	problems	problem	NOUN
easat-11010	324	35	in	in	ADP
easat-11010	324	36	engineering	engineering	NOUN
easat-11010	324	37	,	,	PUNCT
easat-11010	324	38	vol	vol	NOUN
easat-11010	324	39	.	.	PROPN
easat-11010	324	40	2018	2018	NUM
easat-11010	324	41	,	,	PUNCT
easat-11010	324	42	no	no	INTJ
easat-11010	324	43	.	.	NOUN
easat-11010	324	44	1	1	NUM
easat-11010	324	45	,	,	PUNCT
easat-11010	324	46	p.	p.	NOUN
easat-11010	324	47	4276176	4276176	NUM
easat-11010	324	48	,	,	PUNCT
easat-11010	324	49	2018	2018	NUM
easat-11010	324	50	.	.	PUNCT
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easat-11010	325	19	blind	blind	ADJ
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easat-11010	325	43	,	,	PUNCT
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easat-11010	327	42	,	,	PUNCT
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easat-11010	330	2	-	-	SYM
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easat-11010	330	4	,	,	PUNCT
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