id	sid	tid	token	lemma	pos
cana-2889	1	1	communications	communication	NOUN
cana-2889	1	2	on	on	ADP
cana-2889	1	3	applied	apply	VERB
cana-2889	1	4	nonlinear	nonlinear	ADJ
cana-2889	1	5	analysis	analysis	NOUN
cana-2889	1	6	issn	issn	NOUN
cana-2889	1	7	:	:	PUNCT
cana-2889	1	8	1074	1074	NUM
cana-2889	1	9	-	-	PUNCT
cana-2889	1	10	133x	133x	NUM
cana-2889	1	11	vol	vol	NOUN
cana-2889	1	12	32	32	NUM
cana-2889	1	13	no	no	NOUN
cana-2889	1	14	.	.	PUNCT
cana-2889	2	1	4s	4s	NUM
cana-2889	2	2	(	(	PUNCT
cana-2889	2	3	2025	2025	NUM
cana-2889	2	4	)	)	PUNCT
cana-2889	2	5	622	622	NUM
cana-2889	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	2	7	enhancing	enhance	VERB
cana-2889	2	8	shortand	shortand	NOUN
cana-2889	2	9	medium	medium	ADJ
cana-2889	2	10	-	-	PUNCT
cana-2889	2	11	term	term	NOUN
cana-2889	2	12	electricity	electricity	NOUN
cana-2889	2	13	load	load	NOUN
cana-2889	2	14	and	and	CCONJ
cana-2889	2	15	price	price	NOUN
cana-2889	2	16	forecasting	forecasting	NOUN
cana-2889	2	17	using	use	VERB
cana-2889	2	18	a	a	DET
cana-2889	2	19	hybrid	hybrid	ADJ
cana-2889	2	20	cnn	cnn	PROPN
cana-2889	2	21	-	-	PUNCT
cana-2889	2	22	am	am	PROPN
cana-2889	2	23	model	model	NOUN
cana-2889	2	24	1jaya	1jaya	NUM
cana-2889	2	25	shukla	shukla	NOUN
cana-2889	2	26	,	,	PUNCT
cana-2889	2	27	2dr	2dr	NOUN
cana-2889	2	28	.	.	PUNCT
cana-2889	3	1	rajnish	rajnish	PROPN
cana-2889	3	2	bhasker	bhasker	PROPN
cana-2889	3	3	research	research	NOUN
cana-2889	3	4	scholar	scholar	NOUN
cana-2889	3	5	,	,	PUNCT
cana-2889	3	6	dept	dept	NOUN
cana-2889	3	7	.	.	PROPN
cana-2889	3	8	of	of	ADP
cana-2889	3	9	e.e	e.e	PROPN
cana-2889	3	10	vbspu	vbspu	PROPN
cana-2889	3	11	jaunpur	jaunpur	PROPN
cana-2889	3	12	.	.	PUNCT
cana-2889	4	1	professor	professor	NOUN
cana-2889	4	2	,	,	PUNCT
cana-2889	4	3	dept	dept	NOUN
cana-2889	4	4	.	.	PROPN
cana-2889	4	5	of	of	ADP
cana-2889	4	6	e.e	e.e	PROPN
cana-2889	4	7	vbspu	vbspu	PROPN
cana-2889	4	8	jaunpur	jaunpur	PROPN
cana-2889	4	9	.	.	PUNCT
cana-2889	5	1	1email	1email	NUM
cana-2889	5	2	i	i	SYM
cana-2889	5	3	d	d	NOUN
cana-2889	5	4	:	:	PUNCT
cana-2889	6	1	jayashuklaee@gmail.com	jayashuklaee@gmail.com	X
cana-2889	6	2	,	,	PUNCT
cana-2889	6	3	2email	2email	NUM
cana-2889	6	4	i	i	NOUN
cana-2889	6	5	d	d	PROPN
cana-2889	6	6	:	:	PUNCT
cana-2889	6	7	rabj_33@rediffmail.com	rabj_33@rediffmail.com	X
cana-2889	6	8	article	article	NOUN
cana-2889	6	9	history	history	NOUN
cana-2889	6	10	:	:	PUNCT
cana-2889	6	11	received	receive	VERB
cana-2889	6	12	:	:	PUNCT
cana-2889	6	13	03	03	NUM
cana-2889	6	14	-	-	SYM
cana-2889	6	15	10	10	NUM
cana-2889	6	16	-	-	PUNCT
cana-2889	6	17	2024	2024	NUM
cana-2889	6	18	revised	revise	VERB
cana-2889	6	19	:	:	PUNCT
cana-2889	6	20	30	30	NUM
cana-2889	6	21	-	-	SYM
cana-2889	6	22	11	11	NUM
cana-2889	6	23	-	-	PUNCT
cana-2889	6	24	2024	2024	NUM
cana-2889	6	25	accepted	accept	VERB
cana-2889	6	26	:	:	PUNCT
cana-2889	6	27	09	09	NUM
cana-2889	6	28	-	-	SYM
cana-2889	6	29	12	12	NUM
cana-2889	6	30	-	-	PUNCT
cana-2889	6	31	2024	2024	NUM
cana-2889	6	32	abstract	abstract	NOUN
cana-2889	6	33	:	:	PUNCT
cana-2889	6	34	by	by	ADP
cana-2889	6	35	using	use	VERB
cana-2889	6	36	a	a	DET
cana-2889	6	37	unique	unique	ADJ
cana-2889	6	38	hybrid	hybrid	ADJ
cana-2889	6	39	model	model	NOUN
cana-2889	6	40	,	,	PUNCT
cana-2889	6	41	this	this	DET
cana-2889	6	42	study	study	NOUN
cana-2889	6	43	seeks	seek	VERB
cana-2889	6	44	to	to	PART
cana-2889	6	45	improve	improve	VERB
cana-2889	6	46	the	the	DET
cana-2889	6	47	precision	precision	NOUN
cana-2889	6	48	and	and	CCONJ
cana-2889	6	49	dependability	dependability	NOUN
cana-2889	6	50	of	of	ADP
cana-2889	6	51	shortand	shortand	NOUN
cana-2889	6	52	medium	medium	ADJ
cana-2889	6	53	-	-	PUNCT
cana-2889	6	54	term	term	NOUN
cana-2889	6	55	power	power	NOUN
cana-2889	6	56	load	load	NOUN
cana-2889	6	57	and	and	CCONJ
cana-2889	6	58	price	price	NOUN
cana-2889	6	59	forecasts	forecast	NOUN
cana-2889	6	60	in	in	ADP
cana-2889	6	61	the	the	DET
cana-2889	6	62	energy	energy	NOUN
cana-2889	6	63	market	market	NOUN
cana-2889	6	64	.	.	PUNCT
cana-2889	7	1	the	the	DET
cana-2889	7	2	paper	paper	NOUN
cana-2889	7	3	tackles	tackle	VERB
cana-2889	7	4	the	the	DET
cana-2889	7	5	urgent	urgent	ADJ
cana-2889	7	6	need	need	NOUN
cana-2889	7	7	for	for	ADP
cana-2889	7	8	sophisticated	sophisticated	ADJ
cana-2889	7	9	forecasting	forecasting	NOUN
cana-2889	7	10	tools	tool	NOUN
cana-2889	7	11	that	that	PRON
cana-2889	7	12	can	can	AUX
cana-2889	7	13	handle	handle	VERB
cana-2889	7	14	the	the	DET
cana-2889	7	15	complexity	complexity	NOUN
cana-2889	7	16	of	of	ADP
cana-2889	7	17	energy	energy	NOUN
cana-2889	7	18	data	datum	NOUN
cana-2889	7	19	by	by	ADP
cana-2889	7	20	combining	combine	VERB
cana-2889	7	21	the	the	DET
cana-2889	7	22	ensemble	ensemble	ADJ
cana-2889	7	23	empirical	empirical	ADJ
cana-2889	7	24	mode	mode	NOUN
cana-2889	7	25	decomposition	decomposition	NOUN
cana-2889	7	26	(	(	PUNCT
cana-2889	7	27	eemd	eemd	NOUN
cana-2889	7	28	)	)	PUNCT
cana-2889	7	29	algorithm	algorithm	NOUN
cana-2889	7	30	with	with	ADP
cana-2889	7	31	a	a	DET
cana-2889	7	32	convolutional	convolutional	ADJ
cana-2889	7	33	neural	neural	ADJ
cana-2889	7	34	network	network	NOUN
cana-2889	7	35	using	use	VERB
cana-2889	7	36	an	an	DET
cana-2889	7	37	attention	attention	NOUN
cana-2889	7	38	mechanism	mechanism	NOUN
cana-2889	7	39	(	(	PUNCT
cana-2889	7	40	cnn	cnn	PROPN
cana-2889	7	41	-	-	PUNCT
cana-2889	7	42	am	am	PROPN
cana-2889	7	43	)	)	PUNCT
cana-2889	7	44	.	.	PUNCT
cana-2889	8	1	by	by	ADP
cana-2889	8	2	efficiently	efficiently	ADV
cana-2889	8	3	extracting	extract	VERB
cana-2889	8	4	intrinsic	intrinsic	ADJ
cana-2889	8	5	mode	mode	NOUN
cana-2889	8	6	functions	function	NOUN
cana-2889	8	7	that	that	PRON
cana-2889	8	8	are	be	AUX
cana-2889	8	9	essential	essential	ADJ
cana-2889	8	10	for	for	ADP
cana-2889	8	11	precise	precise	ADJ
cana-2889	8	12	predictions	prediction	NOUN
cana-2889	8	13	,	,	PUNCT
cana-2889	8	14	eemd	eemd	PROPN
cana-2889	8	15	optimises	optimise	VERB
cana-2889	8	16	the	the	DET
cana-2889	8	17	decomposition	decomposition	NOUN
cana-2889	8	18	process	process	NOUN
cana-2889	8	19	of	of	ADP
cana-2889	8	20	raw	raw	ADJ
cana-2889	8	21	data	datum	NOUN
cana-2889	8	22	.	.	PUNCT
cana-2889	9	1	concurrently	concurrently	ADV
cana-2889	9	2	,	,	PUNCT
cana-2889	9	3	the	the	DET
cana-2889	9	4	cnn	cnn	PROPN
cana-2889	9	5	-	-	PUNCT
cana-2889	9	6	am	am	NOUN
cana-2889	9	7	improves	improve	VERB
cana-2889	9	8	the	the	DET
cana-2889	9	9	model	model	NOUN
cana-2889	9	10	's	's	PART
cana-2889	9	11	capacity	capacity	NOUN
cana-2889	9	12	to	to	PART
cana-2889	9	13	highlight	highlight	VERB
cana-2889	9	14	important	important	ADJ
cana-2889	9	15	aspects	aspect	NOUN
cana-2889	9	16	of	of	ADP
cana-2889	9	17	the	the	DET
cana-2889	9	18	data	datum	NOUN
cana-2889	9	19	,	,	PUNCT
cana-2889	9	20	which	which	PRON
cana-2889	9	21	raises	raise	VERB
cana-2889	9	22	the	the	DET
cana-2889	9	23	forecasts	forecast	NOUN
cana-2889	9	24	'	'	PART
cana-2889	9	25	interpretability	interpretability	NOUN
cana-2889	9	26	and	and	CCONJ
cana-2889	9	27	accuracy	accuracy	NOUN
cana-2889	9	28	.	.	PUNCT
cana-2889	10	1	the	the	DET
cana-2889	10	2	model	model	NOUN
cana-2889	10	3	's	's	PART
cana-2889	10	4	performance	performance	NOUN
cana-2889	10	5	is	be	AUX
cana-2889	10	6	verified	verify	VERB
cana-2889	10	7	on	on	ADP
cana-2889	10	8	a	a	DET
cana-2889	10	9	variety	variety	NOUN
cana-2889	10	10	of	of	ADP
cana-2889	10	11	datasets	dataset	NOUN
cana-2889	10	12	,	,	PUNCT
cana-2889	10	13	demonstrating	demonstrate	VERB
cana-2889	10	14	its	its	PRON
cana-2889	10	15	potential	potential	NOUN
cana-2889	10	16	for	for	ADP
cana-2889	10	17	reliable	reliable	ADJ
cana-2889	10	18	use	use	NOUN
cana-2889	10	19	in	in	ADP
cana-2889	10	20	practical	practical	ADJ
cana-2889	10	21	situations	situation	NOUN
cana-2889	10	22	.	.	PUNCT
cana-2889	11	1	future	future	ADJ
cana-2889	11	2	research	research	NOUN
cana-2889	11	3	directions	direction	NOUN
cana-2889	11	4	are	be	AUX
cana-2889	11	5	examined	examine	VERB
cana-2889	11	6	,	,	PUNCT
cana-2889	11	7	such	such	ADJ
cana-2889	11	8	as	as	ADP
cana-2889	11	9	dynamic	dynamic	ADJ
cana-2889	11	10	model	model	NOUN
cana-2889	11	11	updates	update	NOUN
cana-2889	11	12	to	to	PART
cana-2889	11	13	adjust	adjust	VERB
cana-2889	11	14	to	to	ADP
cana-2889	11	15	changing	change	VERB
cana-2889	11	16	market	market	NOUN
cana-2889	11	17	conditions	condition	NOUN
cana-2889	11	18	,	,	PUNCT
cana-2889	11	19	overall	overall	ADJ
cana-2889	11	20	model	model	NOUN
cana-2889	11	21	resilience	resilience	NOUN
cana-2889	11	22	,	,	PUNCT
cana-2889	11	23	and	and	CCONJ
cana-2889	11	24	the	the	DET
cana-2889	11	25	inclusion	inclusion	NOUN
cana-2889	11	26	of	of	ADP
cana-2889	11	27	external	external	ADJ
cana-2889	11	28	factors	factor	NOUN
cana-2889	11	29	affecting	affect	VERB
cana-2889	11	30	load	load	NOUN
cana-2889	11	31	and	and	CCONJ
cana-2889	11	32	price	price	NOUN
cana-2889	11	33	.	.	PUNCT
cana-2889	12	1	the	the	DET
cana-2889	12	2	ultimate	ultimate	ADJ
cana-2889	12	3	goal	goal	NOUN
cana-2889	12	4	of	of	ADP
cana-2889	12	5	this	this	DET
cana-2889	12	6	research	research	NOUN
cana-2889	12	7	is	be	AUX
cana-2889	12	8	to	to	PART
cana-2889	12	9	provide	provide	VERB
cana-2889	12	10	energy	energy	NOUN
cana-2889	12	11	industry	industry	NOUN
cana-2889	12	12	stakeholders	stakeholder	NOUN
cana-2889	12	13	with	with	ADP
cana-2889	12	14	a	a	DET
cana-2889	12	15	reliable	reliable	ADJ
cana-2889	12	16	forecasting	forecasting	NOUN
cana-2889	12	17	tool	tool	NOUN
cana-2889	12	18	that	that	PRON
cana-2889	12	19	will	will	AUX
cana-2889	12	20	enable	enable	VERB
cana-2889	12	21	strategic	strategic	ADJ
cana-2889	12	22	decision	decision	NOUN
cana-2889	12	23	-	-	PUNCT
cana-2889	12	24	making	making	NOUN
cana-2889	12	25	and	and	CCONJ
cana-2889	12	26	well	well	ADV
cana-2889	12	27	-	-	PUNCT
cana-2889	12	28	informed	inform	VERB
cana-2889	12	29	risk	risk	NOUN
cana-2889	12	30	management	management	NOUN
cana-2889	12	31	.	.	PUNCT
cana-2889	13	1	keywords	keyword	NOUN
cana-2889	13	2	:	:	PUNCT
cana-2889	13	3	attention	attention	NOUN
cana-2889	13	4	mechanism	mechanism	NOUN
cana-2889	13	5	,	,	PUNCT
cana-2889	13	6	computational	computational	ADJ
cana-2889	13	7	efficiency	efficiency	NOUN
cana-2889	13	8	,	,	PUNCT
cana-2889	13	9	convolutional	convolutional	ADJ
cana-2889	13	10	neural	neural	ADJ
cana-2889	13	11	network	network	NOUN
cana-2889	13	12	(	(	PUNCT
cana-2889	13	13	cnn	cnn	PROPN
cana-2889	13	14	)	)	PUNCT
cana-2889	13	15	,	,	PUNCT
cana-2889	13	16	electricity	electricity	NOUN
cana-2889	13	17	load	load	NOUN
cana-2889	13	18	forecasting	forecasting	NOUN
cana-2889	13	19	,	,	PUNCT
cana-2889	13	20	electricity	electricity	NOUN
cana-2889	13	21	price	price	NOUN
cana-2889	13	22	forecasting	forecasting	NOUN
cana-2889	13	23	,	,	PUNCT
cana-2889	13	24	empirical	empirical	ADJ
cana-2889	13	25	mode	mode	NOUN
cana-2889	13	26	decomposition	decomposition	NOUN
cana-2889	13	27	(	(	PUNCT
cana-2889	13	28	eemd	eemd	PROPN
cana-2889	13	29	)	)	PUNCT
cana-2889	13	30	,	,	PUNCT
cana-2889	13	31	mean	mean	VERB
cana-2889	13	32	absolute	absolute	ADJ
cana-2889	13	33	percentage	percentage	NOUN
cana-2889	13	34	error	error	NOUN
cana-2889	13	35	(	(	PUNCT
cana-2889	13	36	mape	mape	NOUN
cana-2889	13	37	)	)	PUNCT
cana-2889	13	38	,	,	PUNCT
cana-2889	13	39	medium	medium	ADJ
cana-2889	13	40	-	-	PUNCT
cana-2889	13	41	term	term	NOUN
cana-2889	13	42	forecasting	forecasting	NOUN
cana-2889	13	43	,	,	PUNCT
cana-2889	13	44	root	root	NOUN
cana-2889	13	45	mean	mean	VERB
cana-2889	13	46	squared	square	VERB
cana-2889	13	47	error	error	NOUN
cana-2889	13	48	(	(	PUNCT
cana-2889	13	49	rmse	rmse	NOUN
cana-2889	13	50	)	)	PUNCT
cana-2889	13	51	,	,	PUNCT
cana-2889	13	52	short	short	ADJ
cana-2889	13	53	-	-	PUNCT
cana-2889	13	54	term	term	NOUN
cana-2889	13	55	forecasting	forecasting	NOUN
cana-2889	13	56	,	,	PUNCT
cana-2889	13	57	time	time	NOUN
cana-2889	13	58	-	-	PUNCT
cana-2889	13	59	series	series	NOUN
cana-2889	13	60	data	datum	NOUN
cana-2889	13	61	,	,	PUNCT
cana-2889	13	62	hybrid	hybrid	ADJ
cana-2889	13	63	model	model	NOUN
cana-2889	13	64	.	.	PUNCT
cana-2889	14	1	i.	i.	PROPN
cana-2889	14	2	introduction	introduction	PROPN
cana-2889	14	3	a.	a.	NOUN
cana-2889	14	4	overview	overview	NOUN
cana-2889	14	5	of	of	ADP
cana-2889	14	6	electricity	electricity	NOUN
cana-2889	14	7	load	load	NOUN
cana-2889	14	8	and	and	CCONJ
cana-2889	14	9	price	price	NOUN
cana-2889	14	10	forecasting	forecasting	NOUN
cana-2889	14	11	in	in	ADP
cana-2889	14	12	energy	energy	NOUN
cana-2889	14	13	markets	market	NOUN
cana-2889	14	14	in	in	ADP
cana-2889	14	15	the	the	DET
cana-2889	14	16	energy	energy	NOUN
cana-2889	14	17	market	market	NOUN
cana-2889	14	18	,	,	PUNCT
cana-2889	14	19	forecasting	forecast	VERB
cana-2889	14	20	electricity	electricity	NOUN
cana-2889	14	21	load	load	NOUN
cana-2889	14	22	and	and	CCONJ
cana-2889	14	23	pricing	pricing	NOUN
cana-2889	14	24	is	be	AUX
cana-2889	14	25	essential	essential	ADJ
cana-2889	14	26	for	for	ADP
cana-2889	14	27	effective	effective	ADJ
cana-2889	14	28	grid	grid	NOUN
cana-2889	14	29	management	management	NOUN
cana-2889	14	30	,	,	PUNCT
cana-2889	14	31	resource	resource	NOUN
cana-2889	14	32	planning	planning	NOUN
cana-2889	14	33	,	,	PUNCT
cana-2889	14	34	and	and	CCONJ
cana-2889	14	35	the	the	DET
cana-2889	14	36	creation	creation	NOUN
cana-2889	14	37	of	of	ADP
cana-2889	14	38	financial	financial	ADJ
cana-2889	14	39	strategies	strategy	NOUN
cana-2889	14	40	as	as	SCONJ
cana-2889	14	41	shown	show	VERB
cana-2889	14	42	in	in	ADP
cana-2889	14	43	fig	fig	NOUN
cana-2889	14	44	.	.	PUNCT
cana-2889	15	1	1	1	NUM
cana-2889	15	2	by	by	ADP
cana-2889	15	3	keeping	keep	VERB
cana-2889	15	4	supply	supply	NOUN
cana-2889	15	5	and	and	CCONJ
cana-2889	15	6	demand	demand	NOUN
cana-2889	15	7	in	in	ADP
cana-2889	15	8	balance	balance	NOUN
cana-2889	15	9	,	,	PUNCT
cana-2889	15	10	accurate	accurate	ADJ
cana-2889	15	11	forecasting	forecasting	NOUN
cana-2889	15	12	lowers	lower	VERB
cana-2889	15	13	the	the	DET
cana-2889	15	14	likelihood	likelihood	NOUN
cana-2889	15	15	of	of	ADP
cana-2889	15	16	blackouts	blackout	NOUN
cana-2889	15	17	or	or	CCONJ
cana-2889	15	18	energy	energy	NOUN
cana-2889	15	19	shortages	shortage	NOUN
cana-2889	15	20	and	and	CCONJ
cana-2889	15	21	ensures	ensure	VERB
cana-2889	15	22	grid	grid	NOUN
cana-2889	15	23	resilience	resilience	NOUN
cana-2889	15	24	.	.	PUNCT
cana-2889	16	1	with	with	ADP
cana-2889	16	2	the	the	DET
cana-2889	16	3	use	use	NOUN
cana-2889	16	4	of	of	ADP
cana-2889	16	5	pricing	pricing	NOUN
cana-2889	16	6	projections	projection	NOUN
cana-2889	16	7	,	,	PUNCT
cana-2889	16	8	utilities	utility	NOUN
cana-2889	16	9	and	and	CCONJ
cana-2889	16	10	other	other	ADJ
cana-2889	16	11	stakeholders	stakeholder	NOUN
cana-2889	16	12	can	can	AUX
cana-2889	16	13	effectively	effectively	ADV
cana-2889	16	14	manage	manage	VERB
cana-2889	16	15	investments	investment	NOUN
cana-2889	16	16	,	,	PUNCT
cana-2889	16	17	predict	predict	VERB
cana-2889	16	18	market	market	NOUN
cana-2889	16	19	trends	trend	NOUN
cana-2889	16	20	,	,	PUNCT
cana-2889	16	21	and	and	CCONJ
cana-2889	16	22	optimise	optimise	ADJ
cana-2889	16	23	pricing	pricing	NOUN
cana-2889	16	24	strategies	strategy	NOUN
cana-2889	16	25	.	.	PUNCT
cana-2889	17	1	the	the	DET
cana-2889	17	2	need	need	NOUN
cana-2889	17	3	for	for	ADP
cana-2889	17	4	sophisticated	sophisticated	ADJ
cana-2889	17	5	forecasting	forecasting	NOUN
cana-2889	17	6	methods	method	NOUN
cana-2889	17	7	has	have	AUX
cana-2889	17	8	increased	increase	VERB
cana-2889	17	9	due	due	ADP
cana-2889	17	10	to	to	ADP
cana-2889	17	11	the	the	DET
cana-2889	17	12	growing	grow	VERB
cana-2889	17	13	use	use	NOUN
cana-2889	17	14	of	of	ADP
cana-2889	17	15	renewable	renewable	ADJ
cana-2889	17	16	energy	energy	NOUN
cana-2889	17	17	sources	source	NOUN
cana-2889	17	18	,	,	PUNCT
cana-2889	17	19	which	which	PRON
cana-2889	17	20	are	be	AUX
cana-2889	17	21	inherently	inherently	ADV
cana-2889	17	22	unpredictable	unpredictable	ADJ
cana-2889	17	23	.	.	PUNCT
cana-2889	18	1	these	these	DET
cana-2889	18	2	projections	projection	NOUN
cana-2889	18	3	also	also	ADV
cana-2889	18	4	promote	promote	VERB
cana-2889	18	5	transparency	transparency	NOUN
cana-2889	18	6	in	in	ADP
cana-2889	18	7	energy	energy	NOUN
cana-2889	18	8	transactions	transaction	NOUN
cana-2889	18	9	and	and	CCONJ
cana-2889	18	10	help	help	VERB
cana-2889	18	11	regulators	regulator	NOUN
cana-2889	18	12	create	create	VERB
cana-2889	18	13	policies	policy	NOUN
cana-2889	18	14	.	.	PUNCT
cana-2889	19	1	stakeholders	stakeholder	NOUN
cana-2889	19	2	can	can	AUX
cana-2889	19	3	promote	promote	VERB
cana-2889	19	4	stability	stability	NOUN
cana-2889	19	5	and	and	CCONJ
cana-2889	19	6	efficiency	efficiency	NOUN
cana-2889	19	7	in	in	ADP
cana-2889	19	8	the	the	DET
cana-2889	19	9	energy	energy	NOUN
cana-2889	19	10	sector	sector	NOUN
cana-2889	19	11	by	by	ADP
cana-2889	19	12	proactively	proactively	ADV
cana-2889	19	13	responding	respond	VERB
cana-2889	19	14	to	to	ADP
cana-2889	19	15	market	market	NOUN
cana-2889	19	16	dynamics	dynamic	NOUN
cana-2889	19	17	by	by	ADP
cana-2889	19	18	comprehending	comprehend	VERB
cana-2889	19	19	the	the	DET
cana-2889	19	20	intricacies	intricacy	NOUN
cana-2889	19	21	of	of	ADP
cana-2889	19	22	load	load	NOUN
cana-2889	19	23	and	and	CCONJ
cana-2889	19	24	price	price	NOUN
cana-2889	19	25	behaviours	behaviour	NOUN
cana-2889	19	26	over	over	ADP
cana-2889	19	27	short	short	ADJ
cana-2889	19	28	and	and	CCONJ
cana-2889	19	29	medium	medium	ADJ
cana-2889	19	30	terms	term	NOUN
cana-2889	19	31	.	.	PUNCT
cana-2889	20	1	mailto:jayashuklaee@gmail.com	mailto:jayashuklaee@gmail.com	PROPN
cana-2889	20	2	communications	communication	NOUN
cana-2889	20	3	on	on	ADP
cana-2889	20	4	applied	apply	VERB
cana-2889	20	5	nonlinear	nonlinear	ADJ
cana-2889	20	6	analysis	analysis	NOUN
cana-2889	20	7	issn	issn	NOUN
cana-2889	20	8	:	:	PUNCT
cana-2889	20	9	1074	1074	NUM
cana-2889	20	10	-	-	PUNCT
cana-2889	20	11	133x	133x	NUM
cana-2889	20	12	vol	vol	NOUN
cana-2889	20	13	32	32	NUM
cana-2889	20	14	no	no	NOUN
cana-2889	20	15	.	.	PUNCT
cana-2889	21	1	4s	4s	NUM
cana-2889	21	2	(	(	PUNCT
cana-2889	21	3	2025	2025	NUM
cana-2889	21	4	)	)	PUNCT
cana-2889	21	5	623	623	NUM
cana-2889	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	21	7	fig	fig	NOUN
cana-2889	21	8	.	.	PUNCT
cana-2889	22	1	1	1	NUM
cana-2889	22	2	:	:	PUNCT
cana-2889	22	3	pros	pro	NOUN
cana-2889	22	4	and	and	CCONJ
cana-2889	22	5	cons	con	NOUN
cana-2889	22	6	of	of	ADP
cana-2889	22	7	energy	energy	NOUN
cana-2889	22	8	forecasting	forecasting	NOUN
cana-2889	22	9	b.	b.	PROPN
cana-2889	22	10	challenges	challenge	NOUN
cana-2889	22	11	in	in	ADP
cana-2889	22	12	current	current	ADJ
cana-2889	22	13	forecasting	forecasting	NOUN
cana-2889	22	14	models	model	NOUN
cana-2889	22	15	the	the	DET
cana-2889	22	16	complexity	complexity	NOUN
cana-2889	22	17	of	of	ADP
cana-2889	22	18	contemporary	contemporary	ADJ
cana-2889	22	19	energy	energy	NOUN
cana-2889	22	20	data	datum	NOUN
cana-2889	22	21	is	be	AUX
cana-2889	22	22	too	too	ADV
cana-2889	22	23	much	much	ADJ
cana-2889	22	24	for	for	ADP
cana-2889	22	25	conventional	conventional	ADJ
cana-2889	22	26	models	model	NOUN
cana-2889	22	27	for	for	ADP
cana-2889	22	28	estimating	estimate	VERB
cana-2889	22	29	electricity	electricity	NOUN
cana-2889	22	30	load	load	NOUN
cana-2889	22	31	and	and	CCONJ
cana-2889	22	32	pricing	pricing	NOUN
cana-2889	22	33	,	,	PUNCT
cana-2889	22	34	such	such	ADJ
cana-2889	22	35	as	as	ADP
cana-2889	22	36	linear	linear	PROPN
cana-2889	22	37	regression	regression	NOUN
cana-2889	22	38	and	and	CCONJ
cana-2889	22	39	autoregressive	autoregressive	ADJ
cana-2889	22	40	integrated	integrated	ADJ
cana-2889	22	41	moving	move	VERB
cana-2889	22	42	average	average	NOUN
cana-2889	22	43	(	(	PUNCT
cana-2889	22	44	arima	arima	PROPN
cana-2889	22	45	)	)	PUNCT
cana-2889	22	46	.	.	PUNCT
cana-2889	23	1	the	the	DET
cana-2889	23	2	predictive	predictive	ADJ
cana-2889	23	3	effectiveness	effectiveness	NOUN
cana-2889	23	4	of	of	ADP
cana-2889	23	5	these	these	DET
cana-2889	23	6	models	model	NOUN
cana-2889	23	7	is	be	AUX
cana-2889	23	8	limited	limit	VERB
cana-2889	23	9	by	by	ADP
cana-2889	23	10	the	the	DET
cana-2889	23	11	non	non	ADJ
cana-2889	23	12	-	-	ADJ
cana-2889	23	13	linear	linear	ADJ
cana-2889	23	14	and	and	CCONJ
cana-2889	23	15	non	non	ADJ
cana-2889	23	16	-	-	ADJ
cana-2889	23	17	stationary	stationary	ADJ
cana-2889	23	18	nature	nature	NOUN
cana-2889	23	19	of	of	ADP
cana-2889	23	20	energy	energy	NOUN
cana-2889	23	21	load	load	NOUN
cana-2889	23	22	and	and	CCONJ
cana-2889	23	23	price	price	NOUN
cana-2889	23	24	patterns	pattern	NOUN
cana-2889	23	25	,	,	PUNCT
cana-2889	23	26	which	which	PRON
cana-2889	23	27	are	be	AUX
cana-2889	23	28	impacted	impact	VERB
cana-2889	23	29	by	by	ADP
cana-2889	23	30	a	a	DET
cana-2889	23	31	variety	variety	NOUN
cana-2889	23	32	of	of	ADP
cana-2889	23	33	factors	factor	NOUN
cana-2889	23	34	such	such	ADJ
cana-2889	23	35	consumer	consumer	NOUN
cana-2889	23	36	behaviour	behaviour	NOUN
cana-2889	23	37	,	,	PUNCT
cana-2889	23	38	economic	economic	ADJ
cana-2889	23	39	conditions	condition	NOUN
cana-2889	23	40	,	,	PUNCT
cana-2889	23	41	and	and	CCONJ
cana-2889	23	42	weather	weather	NOUN
cana-2889	23	43	.	.	PUNCT
cana-2889	24	1	although	although	SCONJ
cana-2889	24	2	machine	machine	NOUN
cana-2889	24	3	learning	learn	VERB
cana-2889	24	4	techniques	technique	NOUN
cana-2889	24	5	like	like	ADP
cana-2889	24	6	decision	decision	NOUN
cana-2889	24	7	trees	tree	NOUN
cana-2889	24	8	and	and	CCONJ
cana-2889	24	9	support	support	VERB
cana-2889	24	10	vector	vector	NOUN
cana-2889	24	11	machines	machine	NOUN
cana-2889	24	12	have	have	AUX
cana-2889	24	13	increased	increase	VERB
cana-2889	24	14	accuracy	accuracy	NOUN
cana-2889	24	15	,	,	PUNCT
cana-2889	24	16	they	they	PRON
cana-2889	24	17	frequently	frequently	ADV
cana-2889	24	18	perform	perform	VERB
cana-2889	24	19	poorly	poorly	ADV
cana-2889	24	20	when	when	SCONJ
cana-2889	24	21	applied	apply	VERB
cana-2889	24	22	to	to	ADP
cana-2889	24	23	datasets	dataset	NOUN
cana-2889	24	24	with	with	ADP
cana-2889	24	25	different	different	ADJ
cana-2889	24	26	properties	property	NOUN
cana-2889	24	27	.	.	PUNCT
cana-2889	25	1	furthermore	furthermore	ADV
cana-2889	25	2	,	,	PUNCT
cana-2889	25	3	these	these	DET
cana-2889	25	4	models	model	NOUN
cana-2889	25	5	have	have	VERB
cana-2889	25	6	trouble	trouble	NOUN
cana-2889	25	7	keeping	keep	VERB
cana-2889	25	8	up	up	ADP
cana-2889	25	9	with	with	ADP
cana-2889	25	10	the	the	DET
cana-2889	25	11	quick	quick	ADJ
cana-2889	25	12	changes	change	NOUN
cana-2889	25	13	in	in	ADP
cana-2889	25	14	the	the	DET
cana-2889	25	15	energy	energy	NOUN
cana-2889	25	16	markets	market	NOUN
cana-2889	25	17	,	,	PUNCT
cana-2889	25	18	like	like	ADP
cana-2889	25	19	the	the	DET
cana-2889	25	20	increasing	increase	VERB
cana-2889	25	21	importance	importance	NOUN
cana-2889	25	22	of	of	ADP
cana-2889	25	23	renewable	renewable	ADJ
cana-2889	25	24	energy	energy	NOUN
cana-2889	25	25	sources	source	NOUN
cana-2889	25	26	and	and	CCONJ
cana-2889	25	27	real	real	ADJ
cana-2889	25	28	-	-	PUNCT
cana-2889	25	29	time	time	NOUN
cana-2889	25	30	energy	energy	NOUN
cana-2889	25	31	trading	trading	NOUN
cana-2889	25	32	.	.	PUNCT
cana-2889	26	1	these	these	DET
cana-2889	26	2	drawbacks	drawback	NOUN
cana-2889	26	3	show	show	VERB
cana-2889	26	4	how	how	SCONJ
cana-2889	26	5	stronger	strong	ADJ
cana-2889	26	6	methods	method	NOUN
cana-2889	26	7	are	be	AUX
cana-2889	26	8	required	require	VERB
cana-2889	26	9	to	to	PART
cana-2889	26	10	manage	manage	VERB
cana-2889	26	11	dynamic	dynamic	ADJ
cana-2889	26	12	,	,	PUNCT
cana-2889	26	13	multi	multi	ADJ
cana-2889	26	14	-	-	ADJ
cana-2889	26	15	dimensional	dimensional	ADJ
cana-2889	26	16	,	,	PUNCT
cana-2889	26	17	and	and	CCONJ
cana-2889	26	18	large	large	ADJ
cana-2889	26	19	-	-	PUNCT
cana-2889	26	20	scale	scale	NOUN
cana-2889	26	21	datasets	dataset	NOUN
cana-2889	26	22	.	.	PUNCT
cana-2889	27	1	fig	fig	NOUN
cana-2889	27	2	.	.	PUNCT
cana-2889	28	1	2	2	NUM
cana-2889	28	2	:	:	PUNCT
cana-2889	28	3	challenges	challenge	NOUN
cana-2889	28	4	in	in	ADP
cana-2889	28	5	current	current	ADJ
cana-2889	28	6	forecasting	forecasting	NOUN
cana-2889	28	7	models	model	NOUN
cana-2889	28	8	c.	c.	NOUN
cana-2889	28	9	emergence	emergence	NOUN
cana-2889	28	10	of	of	ADP
cana-2889	28	11	hybrid	hybrid	ADJ
cana-2889	28	12	forecasting	forecasting	NOUN
cana-2889	28	13	techniques	technique	VERB
cana-2889	28	14	the	the	DET
cana-2889	28	15	drawbacks	drawback	NOUN
cana-2889	28	16	of	of	ADP
cana-2889	28	17	solo	solo	NOUN
cana-2889	28	18	models	model	NOUN
cana-2889	28	19	have	have	AUX
cana-2889	28	20	led	lead	VERB
cana-2889	28	21	to	to	ADP
cana-2889	28	22	the	the	DET
cana-2889	28	23	rise	rise	NOUN
cana-2889	28	24	in	in	ADP
cana-2889	28	25	popularity	popularity	NOUN
cana-2889	28	26	of	of	ADP
cana-2889	28	27	hybrid	hybrid	ADJ
cana-2889	28	28	forecasting	forecasting	NOUN
cana-2889	28	29	systems	system	NOUN
cana-2889	28	30	.	.	PUNCT
cana-2889	29	1	hybrid	hybrid	ADJ
cana-2889	29	2	models	model	NOUN
cana-2889	29	3	leverage	leverage	VERB
cana-2889	29	4	each	each	DET
cana-2889	29	5	method	method	NOUN
cana-2889	29	6	's	's	PART
cana-2889	29	7	capabilities	capability	NOUN
cana-2889	29	8	to	to	PART
cana-2889	29	9	increase	increase	VERB
cana-2889	29	10	accuracy	accuracy	NOUN
cana-2889	29	11	and	and	CCONJ
cana-2889	29	12	dependability	dependability	NOUN
cana-2889	29	13	by	by	ADP
cana-2889	29	14	combining	combine	VERB
cana-2889	29	15	complimentary	complimentary	ADJ
cana-2889	29	16	techniques	technique	NOUN
cana-2889	29	17	.	.	PUNCT
cana-2889	30	1	for	for	ADP
cana-2889	30	2	example	example	NOUN
cana-2889	30	3	,	,	PUNCT
cana-2889	30	4	complicated	complicated	ADJ
cana-2889	30	5	signals	signal	NOUN
cana-2889	30	6	can	can	AUX
cana-2889	30	7	be	be	AUX
cana-2889	30	8	broken	break	VERB
cana-2889	30	9	down	down	ADP
cana-2889	30	10	into	into	ADP
cana-2889	30	11	simpler	simple	ADJ
cana-2889	30	12	components	component	NOUN
cana-2889	30	13	for	for	ADP
cana-2889	30	14	focused	focused	ADJ
cana-2889	30	15	examination	examination	NOUN
cana-2889	30	16	by	by	ADP
cana-2889	30	17	combining	combine	VERB
cana-2889	30	18	machine	machine	NOUN
cana-2889	30	19	learning	learning	NOUN
cana-2889	30	20	models	model	NOUN
cana-2889	30	21	with	with	ADP
cana-2889	30	22	decomposition	decomposition	NOUN
cana-2889	30	23	methods	method	NOUN
cana-2889	30	24	.	.	PUNCT
cana-2889	31	1	hybrid	hybrid	ADJ
cana-2889	31	2	approaches	approach	NOUN
cana-2889	31	3	tackle	tackle	VERB
cana-2889	31	4	issues	issue	NOUN
cana-2889	31	5	like	like	ADP
cana-2889	31	6	temporal	temporal	ADJ
cana-2889	31	7	fluctuations	fluctuation	NOUN
cana-2889	31	8	,	,	PUNCT
cana-2889	31	9	feature	feature	NOUN
cana-2889	31	10	interdependencies	interdependency	NOUN
cana-2889	31	11	,	,	PUNCT
cana-2889	31	12	and	and	CCONJ
cana-2889	31	13	non	non	ADJ
cana-2889	31	14	-	-	ADJ
cana-2889	31	15	linear	linear	ADJ
cana-2889	31	16	data	datum	NOUN
cana-2889	31	17	behaviour	behaviour	NOUN
cana-2889	31	18	in	in	ADP
cana-2889	31	19	the	the	DET
cana-2889	31	20	context	context	NOUN
cana-2889	31	21	of	of	ADP
cana-2889	31	22	energy	energy	NOUN
cana-2889	31	23	markets	market	NOUN
cana-2889	31	24	.	.	PUNCT
cana-2889	32	1	they	they	PRON
cana-2889	32	2	are	be	AUX
cana-2889	32	3	perfect	perfect	ADJ
cana-2889	32	4	for	for	ADP
cana-2889	32	5	situations	situation	NOUN
cana-2889	32	6	where	where	SCONJ
cana-2889	32	7	market	market	NOUN
cana-2889	32	8	fluctuations	fluctuation	NOUN
cana-2889	32	9	and	and	CCONJ
cana-2889	32	10	data	datum	NOUN
cana-2889	32	11	complexity	complexity	NOUN
cana-2889	32	12	are	be	AUX
cana-2889	32	13	high	high	ADJ
cana-2889	32	14	because	because	SCONJ
cana-2889	32	15	they	they	PRON
cana-2889	32	16	provide	provide	VERB
cana-2889	32	17	increased	increase	VERB
cana-2889	32	18	robustness	robustness	NOUN
cana-2889	32	19	and	and	CCONJ
cana-2889	32	20	communications	communication	NOUN
cana-2889	32	21	on	on	ADP
cana-2889	32	22	applied	apply	VERB
cana-2889	32	23	nonlinear	nonlinear	ADJ
cana-2889	32	24	analysis	analysis	NOUN
cana-2889	32	25	issn	issn	NOUN
cana-2889	32	26	:	:	PUNCT
cana-2889	32	27	1074	1074	NUM
cana-2889	32	28	-	-	PUNCT
cana-2889	32	29	133x	133x	NUM
cana-2889	32	30	vol	vol	NOUN
cana-2889	32	31	32	32	NUM
cana-2889	32	32	no	no	NOUN
cana-2889	32	33	.	.	PUNCT
cana-2889	33	1	4s	4s	NUM
cana-2889	33	2	(	(	PUNCT
cana-2889	33	3	2025	2025	NUM
cana-2889	33	4	)	)	PUNCT
cana-2889	33	5	624	624	NUM
cana-2889	33	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	33	7	adaptability	adaptability	NOUN
cana-2889	33	8	.	.	PUNCT
cana-2889	34	1	the	the	DET
cana-2889	34	2	development	development	NOUN
cana-2889	34	3	of	of	ADP
cana-2889	34	4	these	these	DET
cana-2889	34	5	methods	method	NOUN
cana-2889	34	6	signifies	signify	VERB
cana-2889	34	7	a	a	DET
cana-2889	34	8	paradigm	paradigm	NOUN
cana-2889	34	9	shift	shift	NOUN
cana-2889	34	10	in	in	ADP
cana-2889	34	11	forecasting	forecasting	NOUN
cana-2889	34	12	,	,	PUNCT
cana-2889	34	13	aiming	aim	VERB
cana-2889	34	14	towards	towards	ADP
cana-2889	34	15	models	model	NOUN
cana-2889	34	16	that	that	PRON
cana-2889	34	17	are	be	AUX
cana-2889	34	18	durable	durable	ADJ
cana-2889	34	19	in	in	ADP
cana-2889	34	20	dynamic	dynamic	ADJ
cana-2889	34	21	contexts	context	NOUN
cana-2889	34	22	in	in	ADP
cana-2889	34	23	addition	addition	NOUN
cana-2889	34	24	to	to	ADP
cana-2889	34	25	being	be	AUX
cana-2889	34	26	accurate	accurate	ADJ
cana-2889	34	27	.	.	PUNCT
cana-2889	35	1	d.	d.	PROPN
cana-2889	35	2	role	role	NOUN
cana-2889	35	3	of	of	ADP
cana-2889	35	4	decomposition	decomposition	NOUN
cana-2889	35	5	algorithms	algorithm	NOUN
cana-2889	35	6	in	in	ADP
cana-2889	35	7	data	data	NOUN
cana-2889	35	8	analysis	analysis	NOUN
cana-2889	35	9	by	by	ADP
cana-2889	35	10	decomposing	decompose	VERB
cana-2889	35	11	complicated	complicated	ADJ
cana-2889	35	12	signals	signal	NOUN
cana-2889	35	13	into	into	ADP
cana-2889	35	14	intrinsic	intrinsic	ADJ
cana-2889	35	15	mode	mode	NOUN
cana-2889	35	16	functions	function	NOUN
cana-2889	35	17	(	(	PUNCT
cana-2889	35	18	imfs	imfs	NOUN
cana-2889	35	19	)	)	PUNCT
cana-2889	35	20	,	,	PUNCT
cana-2889	35	21	decomposition	decomposition	NOUN
cana-2889	35	22	methods	method	NOUN
cana-2889	35	23	such	such	ADJ
cana-2889	35	24	as	as	ADP
cana-2889	35	25	ensemble	ensemble	ADJ
cana-2889	35	26	empirical	empirical	ADJ
cana-2889	35	27	mode	mode	NOUN
cana-2889	35	28	decomposition	decomposition	NOUN
cana-2889	35	29	(	(	PUNCT
cana-2889	35	30	eemd	eemd	PROPN
cana-2889	35	31	)	)	PUNCT
cana-2889	35	32	are	be	AUX
cana-2889	35	33	essential	essential	ADJ
cana-2889	35	34	for	for	ADP
cana-2889	35	35	data	datum	NOUN
cana-2889	35	36	analysis	analysis	NOUN
cana-2889	35	37	.	.	PUNCT
cana-2889	36	1	this	this	DET
cana-2889	36	2	procedure	procedure	NOUN
cana-2889	36	3	assists	assist	VERB
cana-2889	36	4	in	in	ADP
cana-2889	36	5	identifying	identify	VERB
cana-2889	36	6	significant	significant	ADJ
cana-2889	36	7	trends	trend	NOUN
cana-2889	36	8	and	and	CCONJ
cana-2889	36	9	patterns	pattern	NOUN
cana-2889	36	10	that	that	PRON
cana-2889	36	11	could	could	AUX
cana-2889	36	12	be	be	AUX
cana-2889	36	13	hidden	hide	VERB
cana-2889	36	14	in	in	ADP
cana-2889	36	15	unprocessed	unprocessed	ADJ
cana-2889	36	16	data	datum	NOUN
cana-2889	36	17	.	.	PUNCT
cana-2889	37	1	eemd	eemd	PROPN
cana-2889	37	2	solves	solve	VERB
cana-2889	37	3	the	the	DET
cana-2889	37	4	problems	problem	NOUN
cana-2889	37	5	caused	cause	VERB
cana-2889	37	6	by	by	ADP
cana-2889	37	7	non	non	ADJ
cana-2889	37	8	-	-	ADJ
cana-2889	37	9	stationary	stationary	ADJ
cana-2889	37	10	and	and	CCONJ
cana-2889	37	11	non	non	ADJ
cana-2889	37	12	-	-	ADJ
cana-2889	37	13	linear	linear	ADJ
cana-2889	37	14	data	datum	NOUN
cana-2889	37	15	in	in	ADP
cana-2889	37	16	electricity	electricity	NOUN
cana-2889	37	17	forecasting	forecasting	NOUN
cana-2889	37	18	,	,	PUNCT
cana-2889	37	19	enabling	enable	VERB
cana-2889	37	20	models	model	NOUN
cana-2889	37	21	to	to	PART
cana-2889	37	22	concentrate	concentrate	VERB
cana-2889	37	23	on	on	ADP
cana-2889	37	24	particular	particular	ADJ
cana-2889	37	25	aspects	aspect	NOUN
cana-2889	37	26	of	of	ADP
cana-2889	37	27	variability	variability	NOUN
cana-2889	37	28	.	.	PUNCT
cana-2889	38	1	the	the	DET
cana-2889	38	2	eemd	eemd	NOUN
cana-2889	38	3	-	-	PUNCT
cana-2889	38	4	extracted	extract	VERB
cana-2889	38	5	imfs	imfs	NOUN
cana-2889	38	6	make	make	VERB
cana-2889	38	7	it	it	PRON
cana-2889	38	8	easier	easy	ADJ
cana-2889	38	9	to	to	PART
cana-2889	38	10	spot	spot	VERB
cana-2889	38	11	long	long	ADJ
cana-2889	38	12	-	-	PUNCT
cana-2889	38	13	term	term	NOUN
cana-2889	38	14	trends	trend	NOUN
cana-2889	38	15	,	,	PUNCT
cana-2889	38	16	seasonal	seasonal	ADJ
cana-2889	38	17	patterns	pattern	NOUN
cana-2889	38	18	,	,	PUNCT
cana-2889	38	19	and	and	CCONJ
cana-2889	38	20	sudden	sudden	ADJ
cana-2889	38	21	shifts	shift	NOUN
cana-2889	38	22	.	.	PUNCT
cana-2889	39	1	eemd	eemd	PROPN
cana-2889	39	2	is	be	AUX
cana-2889	39	3	a	a	DET
cana-2889	39	4	useful	useful	ADJ
cana-2889	39	5	tool	tool	NOUN
cana-2889	39	6	in	in	ADP
cana-2889	39	7	hybrid	hybrid	ADJ
cana-2889	39	8	forecasting	forecasting	NOUN
cana-2889	39	9	systems	system	NOUN
cana-2889	39	10	because	because	SCONJ
cana-2889	39	11	it	it	PRON
cana-2889	39	12	improves	improve	VERB
cana-2889	39	13	the	the	DET
cana-2889	39	14	prediction	prediction	NOUN
cana-2889	39	15	ability	ability	NOUN
cana-2889	39	16	of	of	ADP
cana-2889	39	17	machine	machine	NOUN
cana-2889	39	18	learning	learning	NOUN
cana-2889	39	19	models	model	NOUN
cana-2889	39	20	by	by	ADP
cana-2889	39	21	lowering	lower	VERB
cana-2889	39	22	noise	noise	NOUN
cana-2889	39	23	and	and	CCONJ
cana-2889	39	24	streamlining	streamline	VERB
cana-2889	39	25	data	datum	NOUN
cana-2889	39	26	representation	representation	NOUN
cana-2889	39	27	.	.	PUNCT
cana-2889	40	1	e.	e.	PROPN
cana-2889	40	2	advancements	advancements	PROPN
cana-2889	40	3	in	in	ADP
cana-2889	40	4	neural	neural	ADJ
cana-2889	40	5	networks	network	NOUN
cana-2889	40	6	for	for	ADP
cana-2889	40	7	time	time	NOUN
cana-2889	40	8	-	-	PUNCT
cana-2889	40	9	series	series	NOUN
cana-2889	40	10	prediction	prediction	NOUN
cana-2889	40	11	because	because	SCONJ
cana-2889	40	12	convolutional	convolutional	ADJ
cana-2889	40	13	neural	neural	ADJ
cana-2889	40	14	networks	network	NOUN
cana-2889	40	15	(	(	PUNCT
cana-2889	40	16	cnns	cnns	PROPN
cana-2889	40	17	)	)	PUNCT
cana-2889	40	18	can	can	AUX
cana-2889	40	19	automatically	automatically	ADV
cana-2889	40	20	extract	extract	VERB
cana-2889	40	21	hierarchical	hierarchical	ADJ
cana-2889	40	22	characteristics	characteristic	NOUN
cana-2889	40	23	from	from	ADP
cana-2889	40	24	data	datum	NOUN
cana-2889	40	25	,	,	PUNCT
cana-2889	40	26	they	they	PRON
cana-2889	40	27	have	have	AUX
cana-2889	40	28	become	become	VERB
cana-2889	40	29	extremely	extremely	ADV
cana-2889	40	30	effective	effective	ADJ
cana-2889	40	31	tools	tool	NOUN
cana-2889	40	32	for	for	ADP
cana-2889	40	33	time	time	NOUN
cana-2889	40	34	-	-	PUNCT
cana-2889	40	35	series	series	NOUN
cana-2889	40	36	prediction	prediction	NOUN
cana-2889	40	37	.	.	PUNCT
cana-2889	41	1	cnns	cnns	PROPN
cana-2889	41	2	employ	employ	VERB
cana-2889	41	3	convolutional	convolutional	ADJ
cana-2889	41	4	layers	layer	NOUN
cana-2889	41	5	,	,	PUNCT
cana-2889	41	6	as	as	SCONJ
cana-2889	41	7	opposed	oppose	VERB
cana-2889	41	8	to	to	ADP
cana-2889	41	9	conventional	conventional	ADJ
cana-2889	41	10	neural	neural	ADJ
cana-2889	41	11	networks	network	NOUN
cana-2889	41	12	,	,	PUNCT
cana-2889	41	13	to	to	PART
cana-2889	41	14	find	find	VERB
cana-2889	41	15	patterns	pattern	NOUN
cana-2889	41	16	in	in	ADP
cana-2889	41	17	energy	energy	NOUN
cana-2889	41	18	data	datum	NOUN
cana-2889	41	19	,	,	PUNCT
cana-2889	41	20	including	include	VERB
cana-2889	41	21	trends	trend	NOUN
cana-2889	41	22	and	and	CCONJ
cana-2889	41	23	anomalies	anomaly	NOUN
cana-2889	41	24	.	.	PUNCT
cana-2889	42	1	they	they	PRON
cana-2889	42	2	are	be	AUX
cana-2889	42	3	ideal	ideal	ADJ
cana-2889	42	4	for	for	ADP
cana-2889	42	5	forecasting	forecast	VERB
cana-2889	42	6	electricity	electricity	NOUN
cana-2889	42	7	because	because	SCONJ
cana-2889	42	8	of	of	ADP
cana-2889	42	9	their	their	PRON
cana-2889	42	10	resilience	resilience	NOUN
cana-2889	42	11	in	in	ADP
cana-2889	42	12	managing	manage	VERB
cana-2889	42	13	huge	huge	ADJ
cana-2889	42	14	datasets	dataset	NOUN
cana-2889	42	15	and	and	CCONJ
cana-2889	42	16	spatial	spatial	ADJ
cana-2889	42	17	-	-	PUNCT
cana-2889	42	18	temporal	temporal	ADJ
cana-2889	42	19	correlations	correlation	NOUN
cana-2889	42	20	.	.	PUNCT
cana-2889	43	1	recurrent	recurrent	ADJ
cana-2889	43	2	structures	structure	NOUN
cana-2889	43	3	for	for	ADP
cana-2889	43	4	sequential	sequential	ADJ
cana-2889	43	5	learning	learning	NOUN
cana-2889	43	6	and	and	CCONJ
cana-2889	43	7	attention	attention	NOUN
cana-2889	43	8	processes	process	NOUN
cana-2889	43	9	to	to	PART
cana-2889	43	10	prioritise	prioritise	VERB
cana-2889	43	11	important	important	ADJ
cana-2889	43	12	aspects	aspect	NOUN
cana-2889	43	13	are	be	AUX
cana-2889	43	14	examples	example	NOUN
cana-2889	43	15	of	of	ADP
cana-2889	43	16	recent	recent	ADJ
cana-2889	43	17	developments	development	NOUN
cana-2889	43	18	.	.	PUNCT
cana-2889	44	1	these	these	DET
cana-2889	44	2	developments	development	NOUN
cana-2889	44	3	have	have	AUX
cana-2889	44	4	greatly	greatly	ADV
cana-2889	44	5	increased	increase	VERB
cana-2889	44	6	cnns	cnn	NOUN
cana-2889	44	7	'	'	PART
cana-2889	44	8	scalability	scalability	NOUN
cana-2889	44	9	and	and	CCONJ
cana-2889	44	10	accuracy	accuracy	NOUN
cana-2889	44	11	,	,	PUNCT
cana-2889	44	12	allowing	allow	VERB
cana-2889	44	13	them	they	PRON
cana-2889	44	14	to	to	PART
cana-2889	44	15	successfully	successfully	ADV
cana-2889	44	16	handle	handle	VERB
cana-2889	44	17	the	the	DET
cana-2889	44	18	complexity	complexity	NOUN
cana-2889	44	19	of	of	ADP
cana-2889	44	20	contemporary	contemporary	ADJ
cana-2889	44	21	energy	energy	NOUN
cana-2889	44	22	systems	system	NOUN
cana-2889	44	23	.	.	PUNCT
cana-2889	45	1	f.	f.	PROPN
cana-2889	45	2	significance	significance	NOUN
cana-2889	45	3	of	of	ADP
cana-2889	45	4	attention	attention	NOUN
cana-2889	45	5	mechanisms	mechanism	NOUN
cana-2889	45	6	in	in	ADP
cana-2889	45	7	deep	deep	ADJ
cana-2889	45	8	learning	learning	NOUN
cana-2889	45	9	by	by	ADP
cana-2889	45	10	allowing	allow	VERB
cana-2889	45	11	them	they	PRON
cana-2889	45	12	to	to	PART
cana-2889	45	13	selectively	selectively	ADV
cana-2889	45	14	concentrate	concentrate	VERB
cana-2889	45	15	on	on	ADP
cana-2889	45	16	pertinent	pertinent	ADJ
cana-2889	45	17	features	feature	NOUN
cana-2889	45	18	inside	inside	ADP
cana-2889	45	19	data	datum	NOUN
cana-2889	45	20	,	,	PUNCT
cana-2889	45	21	attention	attention	NOUN
cana-2889	45	22	mechanisms	mechanism	NOUN
cana-2889	45	23	improve	improve	VERB
cana-2889	45	24	the	the	DET
cana-2889	45	25	performance	performance	NOUN
cana-2889	45	26	of	of	ADP
cana-2889	45	27	deep	deep	ADJ
cana-2889	45	28	learning	learning	NOUN
cana-2889	45	29	models	model	NOUN
cana-2889	45	30	.	.	PUNCT
cana-2889	46	1	by	by	ADP
cana-2889	46	2	giving	give	VERB
cana-2889	46	3	crucial	crucial	ADJ
cana-2889	46	4	components	component	NOUN
cana-2889	46	5	priority	priority	NOUN
cana-2889	46	6	weights	weight	NOUN
cana-2889	46	7	,	,	PUNCT
cana-2889	46	8	attention	attention	NOUN
cana-2889	46	9	mechanisms	mechanism	NOUN
cana-2889	46	10	increase	increase	VERB
cana-2889	46	11	interpretability	interpretability	NOUN
cana-2889	46	12	and	and	CCONJ
cana-2889	46	13	accuracy	accuracy	NOUN
cana-2889	46	14	in	in	ADP
cana-2889	46	15	electricity	electricity	NOUN
cana-2889	46	16	forecasting	forecasting	NOUN
cana-2889	46	17	,	,	PUNCT
cana-2889	46	18	where	where	SCONJ
cana-2889	46	19	datasets	dataset	NOUN
cana-2889	46	20	frequently	frequently	ADV
cana-2889	46	21	contain	contain	VERB
cana-2889	46	22	redundant	redundant	ADJ
cana-2889	46	23	or	or	CCONJ
cana-2889	46	24	noisy	noisy	ADJ
cana-2889	46	25	information	information	NOUN
cana-2889	46	26	.	.	PUNCT
cana-2889	47	1	by	by	ADP
cana-2889	47	2	highlighting	highlight	VERB
cana-2889	47	3	important	important	ADJ
cana-2889	47	4	patterns	pattern	NOUN
cana-2889	47	5	and	and	CCONJ
cana-2889	47	6	relationships	relationship	NOUN
cana-2889	47	7	,	,	PUNCT
cana-2889	47	8	attention	attention	NOUN
cana-2889	47	9	mechanisms	mechanism	NOUN
cana-2889	47	10	enhance	enhance	VERB
cana-2889	47	11	convolutional	convolutional	ADJ
cana-2889	47	12	layers	layer	NOUN
cana-2889	47	13	in	in	ADP
cana-2889	47	14	hybrid	hybrid	ADJ
cana-2889	47	15	models	model	NOUN
cana-2889	47	16	like	like	ADP
cana-2889	47	17	cnn	cnn	PROPN
cana-2889	47	18	-	-	PUNCT
cana-2889	47	19	am	am	PROPN
cana-2889	47	20	,	,	PUNCT
cana-2889	47	21	making	make	VERB
cana-2889	47	22	this	this	DET
cana-2889	47	23	functionality	functionality	NOUN
cana-2889	47	24	very	very	ADV
cana-2889	47	25	useful	useful	ADJ
cana-2889	47	26	.	.	PUNCT
cana-2889	48	1	attention	attention	NOUN
cana-2889	48	2	mechanisms	mechanism	NOUN
cana-2889	48	3	help	help	VERB
cana-2889	48	4	the	the	DET
cana-2889	48	5	model	model	NOUN
cana-2889	48	6	adjust	adjust	VERB
cana-2889	48	7	to	to	ADP
cana-2889	48	8	changing	change	VERB
cana-2889	48	9	market	market	NOUN
cana-2889	48	10	conditions	condition	NOUN
cana-2889	48	11	and	and	CCONJ
cana-2889	48	12	guarantee	guarantee	VERB
cana-2889	48	13	accurate	accurate	ADJ
cana-2889	48	14	projections	projection	NOUN
cana-2889	48	15	by	by	ADP
cana-2889	48	16	dynamically	dynamically	ADV
cana-2889	48	17	changing	change	VERB
cana-2889	48	18	focus	focus	NOUN
cana-2889	48	19	based	base	VERB
cana-2889	48	20	on	on	ADP
cana-2889	48	21	data	data	NOUN
cana-2889	48	22	features	feature	NOUN
cana-2889	48	23	.	.	PUNCT
cana-2889	49	1	fig	fig	NOUN
cana-2889	49	2	.	.	PUNCT
cana-2889	50	1	3	3	NUM
cana-2889	50	2	:	:	PUNCT
cana-2889	50	3	the	the	DET
cana-2889	50	4	role	role	NOUN
cana-2889	50	5	of	of	ADP
cana-2889	50	6	attention	attention	NOUN
cana-2889	50	7	mechanisms	mechanism	NOUN
cana-2889	50	8	in	in	ADP
cana-2889	50	9	deep	deep	ADJ
cana-2889	50	10	learning	learning	NOUN
cana-2889	50	11	communications	communication	NOUN
cana-2889	50	12	on	on	ADP
cana-2889	50	13	applied	apply	VERB
cana-2889	50	14	nonlinear	nonlinear	ADJ
cana-2889	50	15	analysis	analysis	NOUN
cana-2889	50	16	issn	issn	NOUN
cana-2889	50	17	:	:	PUNCT
cana-2889	50	18	1074	1074	NUM
cana-2889	50	19	-	-	PUNCT
cana-2889	50	20	133x	133x	NUM
cana-2889	50	21	vol	vol	NOUN
cana-2889	50	22	32	32	NUM
cana-2889	50	23	no	no	NOUN
cana-2889	50	24	.	.	PUNCT
cana-2889	51	1	4s	4s	NUM
cana-2889	51	2	(	(	PUNCT
cana-2889	51	3	2025	2025	NUM
cana-2889	51	4	)	)	PUNCT
cana-2889	51	5	625	625	NUM
cana-2889	51	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	51	7	g.	g.	NOUN
cana-2889	51	8	motivation	motivation	NOUN
cana-2889	51	9	for	for	ADP
cana-2889	51	10	developing	develop	VERB
cana-2889	51	11	a	a	DET
cana-2889	51	12	hybrid	hybrid	ADJ
cana-2889	51	13	cnn	cnn	PROPN
cana-2889	51	14	-	-	PUNCT
cana-2889	51	15	am	am	PROPN
cana-2889	51	16	model	model	NOUN
cana-2889	51	17	with	with	ADP
cana-2889	51	18	eemd	eemd	PROPN
cana-2889	51	19	the	the	DET
cana-2889	51	20	main	main	ADJ
cana-2889	51	21	drawbacks	drawback	NOUN
cana-2889	51	22	of	of	ADP
cana-2889	51	23	conventional	conventional	ADJ
cana-2889	51	24	and	and	CCONJ
cana-2889	51	25	stand	stand	VERB
cana-2889	51	26	-	-	PUNCT
cana-2889	51	27	alone	alone	ADV
cana-2889	51	28	machine	machine	NOUN
cana-2889	51	29	learning	learning	NOUN
cana-2889	51	30	models	model	NOUN
cana-2889	51	31	for	for	ADP
cana-2889	51	32	electricity	electricity	NOUN
cana-2889	51	33	forecasting	forecasting	NOUN
cana-2889	51	34	are	be	AUX
cana-2889	51	35	addressed	address	VERB
cana-2889	51	36	by	by	ADP
cana-2889	51	37	the	the	DET
cana-2889	51	38	combination	combination	NOUN
cana-2889	51	39	of	of	ADP
cana-2889	51	40	eemd	eemd	PROPN
cana-2889	51	41	and	and	CCONJ
cana-2889	51	42	cnn	cnn	PROPN
cana-2889	51	43	-	-	PUNCT
cana-2889	51	44	am	am	PROPN
cana-2889	51	45	.	.	PUNCT
cana-2889	52	1	cnn	cnn	PROPN
cana-2889	52	2	-	-	PUNCT
cana-2889	52	3	am	am	NOUN
cana-2889	52	4	improves	improve	VERB
cana-2889	52	5	feature	feature	NOUN
cana-2889	52	6	extraction	extraction	NOUN
cana-2889	52	7	and	and	CCONJ
cana-2889	52	8	prioritisation	prioritisation	NOUN
cana-2889	52	9	using	use	VERB
cana-2889	52	10	attention	attention	NOUN
cana-2889	52	11	processes	process	NOUN
cana-2889	52	12	,	,	PUNCT
cana-2889	52	13	while	while	SCONJ
cana-2889	52	14	eemd	eemd	PROPN
cana-2889	52	15	maximises	maximise	VERB
cana-2889	52	16	raw	raw	ADJ
cana-2889	52	17	data	datum	NOUN
cana-2889	52	18	preprocessing	preprocesse	VERB
cana-2889	52	19	by	by	ADP
cana-2889	52	20	separating	separate	VERB
cana-2889	52	21	intrinsic	intrinsic	ADJ
cana-2889	52	22	mode	mode	NOUN
cana-2889	52	23	functions	function	NOUN
cana-2889	52	24	.	.	PUNCT
cana-2889	53	1	by	by	ADP
cana-2889	53	2	identifying	identify	VERB
cana-2889	53	3	intricate	intricate	ADJ
cana-2889	53	4	patterns	pattern	NOUN
cana-2889	53	5	and	and	CCONJ
cana-2889	53	6	relationships	relationship	NOUN
cana-2889	53	7	that	that	PRON
cana-2889	53	8	would	would	AUX
cana-2889	53	9	otherwise	otherwise	ADV
cana-2889	53	10	go	go	VERB
cana-2889	53	11	unnoticed	unnoticed	ADJ
cana-2889	53	12	,	,	PUNCT
cana-2889	53	13	our	our	PRON
cana-2889	53	14	hybrid	hybrid	ADJ
cana-2889	53	15	technique	technique	NOUN
cana-2889	53	16	guarantees	guarantee	VERB
cana-2889	53	17	a	a	DET
cana-2889	53	18	more	more	ADV
cana-2889	53	19	thorough	thorough	ADJ
cana-2889	53	20	study	study	NOUN
cana-2889	53	21	of	of	ADP
cana-2889	53	22	energy	energy	NOUN
cana-2889	53	23	data	datum	NOUN
cana-2889	53	24	.	.	PUNCT
cana-2889	54	1	this	this	DET
cana-2889	54	2	model	model	NOUN
cana-2889	54	3	's	's	PART
cana-2889	54	4	potential	potential	NOUN
cana-2889	54	5	to	to	PART
cana-2889	54	6	close	close	VERB
cana-2889	54	7	forecast	forecast	NOUN
cana-2889	54	8	accuracy	accuracy	NOUN
cana-2889	54	9	,	,	PUNCT
cana-2889	54	10	interpretability	interpretability	NOUN
cana-2889	54	11	,	,	PUNCT
cana-2889	54	12	and	and	CCONJ
cana-2889	54	13	adaptability	adaptability	NOUN
cana-2889	54	14	gaps	gap	NOUN
cana-2889	54	15	and	and	CCONJ
cana-2889	54	16	give	give	VERB
cana-2889	54	17	stakeholders	stakeholder	NOUN
cana-2889	54	18	a	a	DET
cana-2889	54	19	dependable	dependable	ADJ
cana-2889	54	20	and	and	CCONJ
cana-2889	54	21	effective	effective	ADJ
cana-2889	54	22	forecasting	forecasting	NOUN
cana-2889	54	23	tool	tool	NOUN
cana-2889	54	24	is	be	AUX
cana-2889	54	25	what	what	PRON
cana-2889	54	26	motivates	motivate	VERB
cana-2889	54	27	it	it	PRON
cana-2889	54	28	.	.	PUNCT
cana-2889	55	1	impact	impact	NOUN
cana-2889	55	2	of	of	ADP
cana-2889	55	3	accurate	accurate	ADJ
cana-2889	55	4	forecasting	forecasting	NOUN
cana-2889	55	5	on	on	ADP
cana-2889	55	6	energy	energy	NOUN
cana-2889	55	7	market	market	NOUN
cana-2889	55	8	stakeholders	stakeholder	NOUN
cana-2889	55	9	for	for	ADP
cana-2889	55	10	utilities	utility	NOUN
cana-2889	55	11	,	,	PUNCT
cana-2889	55	12	regulators	regulator	NOUN
cana-2889	55	13	,	,	PUNCT
cana-2889	55	14	and	and	CCONJ
cana-2889	55	15	customers	customer	NOUN
cana-2889	55	16	,	,	PUNCT
cana-2889	55	17	among	among	ADP
cana-2889	55	18	other	other	ADJ
cana-2889	55	19	energy	energy	NOUN
cana-2889	55	20	market	market	NOUN
cana-2889	55	21	participants	participant	NOUN
cana-2889	55	22	,	,	PUNCT
cana-2889	55	23	accurate	accurate	ADJ
cana-2889	55	24	forecasting	forecasting	NOUN
cana-2889	55	25	has	have	VERB
cana-2889	55	26	significant	significant	ADJ
cana-2889	55	27	ramifications	ramification	NOUN
cana-2889	55	28	.	.	PUNCT
cana-2889	56	1	accurate	accurate	ADJ
cana-2889	56	2	load	load	NOUN
cana-2889	56	3	and	and	CCONJ
cana-2889	56	4	pricing	pricing	NOUN
cana-2889	56	5	forecasts	forecast	NOUN
cana-2889	56	6	help	help	VERB
cana-2889	56	7	utilities	utility	NOUN
cana-2889	56	8	manage	manage	VERB
cana-2889	56	9	costs	cost	NOUN
cana-2889	56	10	,	,	PUNCT
cana-2889	56	11	allocate	allocate	VERB
cana-2889	56	12	resources	resource	NOUN
cana-2889	56	13	more	more	ADV
cana-2889	56	14	effectively	effectively	ADV
cana-2889	56	15	,	,	PUNCT
cana-2889	56	16	and	and	CCONJ
cana-2889	56	17	operate	operate	VERB
cana-2889	56	18	more	more	ADV
cana-2889	56	19	efficiently	efficiently	ADV
cana-2889	56	20	.	.	PUNCT
cana-2889	57	1	while	while	SCONJ
cana-2889	57	2	consumers	consumer	NOUN
cana-2889	57	3	benefit	benefit	VERB
cana-2889	57	4	from	from	ADP
cana-2889	57	5	more	more	ADV
cana-2889	57	6	regular	regular	ADJ
cana-2889	57	7	pricing	pricing	NOUN
cana-2889	57	8	and	and	CCONJ
cana-2889	57	9	dependable	dependable	ADJ
cana-2889	57	10	services	service	NOUN
cana-2889	57	11	,	,	PUNCT
cana-2889	57	12	regulators	regulator	NOUN
cana-2889	57	13	gain	gain	VERB
cana-2889	57	14	from	from	ADP
cana-2889	57	15	increased	increase	VERB
cana-2889	57	16	market	market	NOUN
cana-2889	57	17	openness	openness	NOUN
cana-2889	57	18	and	and	CCONJ
cana-2889	57	19	stability	stability	NOUN
cana-2889	57	20	.	.	PUNCT
cana-2889	58	1	furthermore	furthermore	ADV
cana-2889	58	2	,	,	PUNCT
cana-2889	58	3	reliable	reliable	ADJ
cana-2889	58	4	forecasting	forecasting	NOUN
cana-2889	58	5	encourages	encourage	VERB
cana-2889	58	6	the	the	DET
cana-2889	58	7	use	use	NOUN
cana-2889	58	8	of	of	ADP
cana-2889	58	9	renewable	renewable	ADJ
cana-2889	58	10	energy	energy	NOUN
cana-2889	58	11	sources	source	NOUN
cana-2889	58	12	,	,	PUNCT
cana-2889	58	13	which	which	PRON
cana-2889	58	14	lessens	lessen	VERB
cana-2889	58	15	reliance	reliance	NOUN
cana-2889	58	16	on	on	ADP
cana-2889	58	17	fossil	fossil	ADJ
cana-2889	58	18	fuels	fuel	NOUN
cana-2889	58	19	and	and	CCONJ
cana-2889	58	20	advances	advance	NOUN
cana-2889	58	21	sustainability	sustainability	NOUN
cana-2889	58	22	.	.	PUNCT
cana-2889	59	1	such	such	ADJ
cana-2889	59	2	estimates	estimate	NOUN
cana-2889	59	3	enable	enable	VERB
cana-2889	59	4	stakeholders	stakeholder	NOUN
cana-2889	59	5	to	to	PART
cana-2889	59	6	confidently	confidently	ADV
cana-2889	59	7	traverse	traverse	VERB
cana-2889	59	8	the	the	DET
cana-2889	59	9	intricacies	intricacy	NOUN
cana-2889	59	10	of	of	ADP
cana-2889	59	11	contemporary	contemporary	ADJ
cana-2889	59	12	energy	energy	NOUN
cana-2889	59	13	markets	market	NOUN
cana-2889	59	14	by	by	ADP
cana-2889	59	15	promoting	promote	VERB
cana-2889	59	16	proactive	proactive	ADJ
cana-2889	59	17	decision	decision	NOUN
cana-2889	59	18	-	-	PUNCT
cana-2889	59	19	making	making	NOUN
cana-2889	59	20	.	.	PUNCT
cana-2889	60	1	h.	h.	PROPN
cana-2889	60	2	research	research	PROPN
cana-2889	60	3	objectives	objective	NOUN
cana-2889	60	4	and	and	CCONJ
cana-2889	60	5	scope	scope	NOUN
cana-2889	60	6	in	in	ADP
cana-2889	60	7	order	order	NOUN
cana-2889	60	8	to	to	PART
cana-2889	60	9	improve	improve	VERB
cana-2889	60	10	the	the	DET
cana-2889	60	11	precision	precision	NOUN
cana-2889	60	12	and	and	CCONJ
cana-2889	60	13	dependability	dependability	NOUN
cana-2889	60	14	of	of	ADP
cana-2889	60	15	shortand	shortand	NOUN
cana-2889	60	16	medium	medium	ADJ
cana-2889	60	17	-	-	PUNCT
cana-2889	60	18	term	term	NOUN
cana-2889	60	19	energy	energy	NOUN
cana-2889	60	20	load	load	NOUN
cana-2889	60	21	and	and	CCONJ
cana-2889	60	22	price	price	NOUN
cana-2889	60	23	forecasts	forecast	NOUN
cana-2889	60	24	,	,	PUNCT
cana-2889	60	25	this	this	DET
cana-2889	60	26	project	project	NOUN
cana-2889	60	27	intends	intend	VERB
cana-2889	60	28	to	to	PART
cana-2889	60	29	create	create	VERB
cana-2889	60	30	a	a	DET
cana-2889	60	31	hybrid	hybrid	ADJ
cana-2889	60	32	forecasting	forecasting	NOUN
cana-2889	60	33	model	model	NOUN
cana-2889	60	34	that	that	PRON
cana-2889	60	35	incorporates	incorporate	VERB
cana-2889	60	36	eemd	eemd	PROPN
cana-2889	60	37	and	and	CCONJ
cana-2889	60	38	cnnam	cnnam	PROPN
cana-2889	60	39	.	.	PUNCT
cana-2889	61	1	the	the	DET
cana-2889	61	2	scope	scope	NOUN
cana-2889	61	3	includes	include	VERB
cana-2889	61	4	evaluating	evaluate	VERB
cana-2889	61	5	the	the	DET
cana-2889	61	6	model	model	NOUN
cana-2889	61	7	's	's	PART
cana-2889	61	8	flexibility	flexibility	NOUN
cana-2889	61	9	to	to	ADP
cana-2889	61	10	changing	change	VERB
cana-2889	61	11	market	market	NOUN
cana-2889	61	12	conditions	condition	NOUN
cana-2889	61	13	,	,	PUNCT
cana-2889	61	14	verifying	verify	VERB
cana-2889	61	15	it	it	PRON
cana-2889	61	16	across	across	ADP
cana-2889	61	17	a	a	DET
cana-2889	61	18	variety	variety	NOUN
cana-2889	61	19	of	of	ADP
cana-2889	61	20	datasets	dataset	NOUN
cana-2889	61	21	,	,	PUNCT
cana-2889	61	22	and	and	CCONJ
cana-2889	61	23	investigating	investigate	VERB
cana-2889	61	24	potential	potential	ADJ
cana-2889	61	25	future	future	ADJ
cana-2889	61	26	improvements	improvement	NOUN
cana-2889	61	27	like	like	ADP
cana-2889	61	28	adding	add	VERB
cana-2889	61	29	external	external	ADJ
cana-2889	61	30	inputs	input	NOUN
cana-2889	61	31	.	.	PUNCT
cana-2889	62	1	the	the	DET
cana-2889	62	2	project	project	NOUN
cana-2889	62	3	aims	aim	VERB
cana-2889	62	4	to	to	PART
cana-2889	62	5	fill	fill	VERB
cana-2889	62	6	important	important	ADJ
cana-2889	62	7	gaps	gap	NOUN
cana-2889	62	8	in	in	ADP
cana-2889	62	9	current	current	ADJ
cana-2889	62	10	forecasting	forecasting	NOUN
cana-2889	62	11	methods	method	NOUN
cana-2889	62	12	and	and	CCONJ
cana-2889	62	13	help	help	VERB
cana-2889	62	14	create	create	VERB
cana-2889	62	15	cuttingedge	cuttingedge	ADJ
cana-2889	62	16	approaches	approach	NOUN
cana-2889	62	17	that	that	PRON
cana-2889	62	18	meet	meet	VERB
cana-2889	62	19	the	the	DET
cana-2889	62	20	changing	change	VERB
cana-2889	62	21	demands	demand	NOUN
cana-2889	62	22	of	of	ADP
cana-2889	62	23	the	the	DET
cana-2889	62	24	energy	energy	NOUN
cana-2889	62	25	industry	industry	NOUN
cana-2889	62	26	.	.	PUNCT
cana-2889	63	1	i.	i.	NOUN
cana-2889	63	2	structure	structure	NOUN
cana-2889	63	3	of	of	ADP
cana-2889	63	4	the	the	DET
cana-2889	63	5	paper	paper	NOUN
cana-2889	63	6	the	the	DET
cana-2889	63	7	format	format	NOUN
cana-2889	63	8	of	of	ADP
cana-2889	63	9	the	the	DET
cana-2889	63	10	paper	paper	NOUN
cana-2889	63	11	is	be	AUX
cana-2889	63	12	designed	design	VERB
cana-2889	63	13	to	to	PART
cana-2889	63	14	lead	lead	VERB
cana-2889	63	15	readers	reader	NOUN
cana-2889	63	16	methodically	methodically	ADV
cana-2889	63	17	through	through	ADP
cana-2889	63	18	the	the	DET
cana-2889	63	19	study	study	NOUN
cana-2889	63	20	.	.	PUNCT
cana-2889	64	1	an	an	DET
cana-2889	64	2	outline	outline	NOUN
cana-2889	64	3	of	of	ADP
cana-2889	64	4	the	the	DET
cana-2889	64	5	issue	issue	NOUN
cana-2889	64	6	,	,	PUNCT
cana-2889	64	7	the	the	DET
cana-2889	64	8	suggested	suggest	VERB
cana-2889	64	9	fix	fix	NOUN
cana-2889	64	10	,	,	PUNCT
cana-2889	64	11	and	and	CCONJ
cana-2889	64	12	its	its	PRON
cana-2889	64	13	importance	importance	NOUN
cana-2889	64	14	are	be	AUX
cana-2889	64	15	given	give	VERB
cana-2889	64	16	in	in	ADP
cana-2889	64	17	the	the	DET
cana-2889	64	18	introduction	introduction	NOUN
cana-2889	64	19	.	.	PUNCT
cana-2889	65	1	following	follow	VERB
cana-2889	65	2	experimental	experimental	ADJ
cana-2889	65	3	results	result	NOUN
cana-2889	65	4	and	and	CCONJ
cana-2889	65	5	validation	validation	NOUN
cana-2889	65	6	,	,	PUNCT
cana-2889	65	7	the	the	DET
cana-2889	65	8	following	follow	VERB
cana-2889	65	9	sections	section	NOUN
cana-2889	65	10	describe	describe	VERB
cana-2889	65	11	the	the	DET
cana-2889	65	12	process	process	NOUN
cana-2889	65	13	in	in	ADP
cana-2889	65	14	depth	depth	NOUN
cana-2889	65	15	,	,	PUNCT
cana-2889	65	16	including	include	VERB
cana-2889	65	17	the	the	DET
cana-2889	65	18	combination	combination	NOUN
cana-2889	65	19	of	of	ADP
cana-2889	65	20	eemd	eemd	PROPN
cana-2889	65	21	and	and	CCONJ
cana-2889	65	22	cnn	cnn	PROPN
cana-2889	65	23	-	-	PUNCT
cana-2889	65	24	am	am	PROPN
cana-2889	65	25	.	.	PUNCT
cana-2889	66	1	the	the	DET
cana-2889	66	2	model	model	NOUN
cana-2889	66	3	's	's	PART
cana-2889	66	4	advantages	advantage	NOUN
cana-2889	66	5	,	,	PUNCT
cana-2889	66	6	disadvantages	disadvantage	NOUN
cana-2889	66	7	,	,	PUNCT
cana-2889	66	8	and	and	CCONJ
cana-2889	66	9	real	real	ADJ
cana-2889	66	10	-	-	PUNCT
cana-2889	66	11	world	world	NOUN
cana-2889	66	12	uses	use	NOUN
cana-2889	66	13	are	be	AUX
cana-2889	66	14	discussed	discuss	VERB
cana-2889	66	15	.	.	PUNCT
cana-2889	67	1	to	to	PART
cana-2889	67	2	ensure	ensure	VERB
cana-2889	67	3	a	a	DET
cana-2889	67	4	thorough	thorough	ADJ
cana-2889	67	5	grasp	grasp	NOUN
cana-2889	67	6	of	of	ADP
cana-2889	67	7	the	the	DET
cana-2889	67	8	study	study	NOUN
cana-2889	67	9	's	's	PART
cana-2889	67	10	contributions	contribution	NOUN
cana-2889	67	11	,	,	PUNCT
cana-2889	67	12	the	the	DET
cana-2889	67	13	conclusion	conclusion	NOUN
cana-2889	67	14	concludes	conclude	VERB
cana-2889	67	15	by	by	ADP
cana-2889	67	16	summarising	summarise	VERB
cana-2889	67	17	the	the	DET
cana-2889	67	18	main	main	ADJ
cana-2889	67	19	findings	finding	NOUN
cana-2889	67	20	and	and	CCONJ
cana-2889	67	21	outlining	outline	VERB
cana-2889	67	22	potential	potential	ADJ
cana-2889	67	23	avenues	avenue	NOUN
cana-2889	67	24	for	for	ADP
cana-2889	67	25	further	further	ADJ
cana-2889	67	26	research	research	NOUN
cana-2889	67	27	.	.	PUNCT
cana-2889	68	1	j.	j.	PROPN
cana-2889	68	2	case	case	PROPN
cana-2889	68	3	studies	study	VERB
cana-2889	68	4	a	a	PRON
cana-2889	68	5	)	)	PUNCT
cana-2889	68	6	hybrid	hybrid	ADJ
cana-2889	68	7	model	model	NOUN
cana-2889	68	8	application	application	NOUN
cana-2889	68	9	in	in	ADP
cana-2889	68	10	australian	australian	ADJ
cana-2889	68	11	electricity	electricity	NOUN
cana-2889	68	12	markets	market	NOUN
cana-2889	68	13	:	:	PUNCT
cana-2889	68	14	the	the	DET
cana-2889	68	15	creation	creation	NOUN
cana-2889	68	16	of	of	ADP
cana-2889	68	17	a	a	DET
cana-2889	68	18	hybrid	hybrid	ADJ
cana-2889	68	19	model	model	NOUN
cana-2889	68	20	that	that	PRON
cana-2889	68	21	forecasts	forecast	VERB
cana-2889	68	22	shortand	shortand	NOUN
cana-2889	68	23	medium	medium	ADJ
cana-2889	68	24	-	-	PUNCT
cana-2889	68	25	term	term	NOUN
cana-2889	68	26	electricity	electricity	NOUN
cana-2889	68	27	prices	price	NOUN
cana-2889	68	28	in	in	ADP
cana-2889	68	29	australia	australia	PROPN
cana-2889	68	30	's	's	PART
cana-2889	68	31	national	national	ADJ
cana-2889	68	32	electricity	electricity	NOUN
cana-2889	68	33	market	market	NOUN
cana-2889	68	34	using	use	VERB
cana-2889	68	35	the	the	DET
cana-2889	68	36	eemd	eemd	PROPN
cana-2889	68	37	algorithm	algorithm	NOUN
cana-2889	68	38	and	and	CCONJ
cana-2889	68	39	cnn	cnn	PROPN
cana-2889	68	40	with	with	ADP
cana-2889	68	41	an	an	DET
cana-2889	68	42	attention	attention	NOUN
cana-2889	68	43	mechanism	mechanism	NOUN
cana-2889	68	44	is	be	AUX
cana-2889	68	45	the	the	DET
cana-2889	68	46	main	main	ADJ
cana-2889	68	47	objective	objective	NOUN
cana-2889	68	48	of	of	ADP
cana-2889	68	49	this	this	DET
cana-2889	68	50	case	case	NOUN
cana-2889	68	51	study	study	NOUN
cana-2889	68	52	.	.	PUNCT
cana-2889	69	1	the	the	DET
cana-2889	69	2	suggested	suggest	VERB
cana-2889	69	3	model	model	NOUN
cana-2889	69	4	outperformed	outperform	VERB
cana-2889	69	5	more	more	ADJ
cana-2889	69	6	conventional	conventional	ADJ
cana-2889	69	7	modelling	modelling	NOUN
cana-2889	69	8	techniques	technique	NOUN
cana-2889	69	9	like	like	ADP
cana-2889	69	10	arima	arima	NOUN
cana-2889	69	11	and	and	CCONJ
cana-2889	69	12	lstm	lstm	NOUN
cana-2889	69	13	in	in	ADP
cana-2889	69	14	terms	term	NOUN
cana-2889	69	15	of	of	ADP
cana-2889	69	16	price	price	NOUN
cana-2889	69	17	prediction	prediction	NOUN
cana-2889	69	18	accuracy	accuracy	NOUN
cana-2889	69	19	when	when	SCONJ
cana-2889	69	20	the	the	DET
cana-2889	69	21	researchers	researcher	NOUN
cana-2889	69	22	applied	apply	VERB
cana-2889	69	23	it	it	PRON
cana-2889	69	24	to	to	ADP
cana-2889	69	25	historical	historical	ADJ
cana-2889	69	26	half	half	ADJ
cana-2889	69	27	-	-	PUNCT
cana-2889	69	28	hourly	hourly	ADJ
cana-2889	69	29	demand	demand	NOUN
cana-2889	69	30	and	and	CCONJ
cana-2889	69	31	pricing	pricing	NOUN
cana-2889	69	32	data	datum	NOUN
cana-2889	69	33	.	.	PUNCT
cana-2889	70	1	the	the	DET
cana-2889	70	2	cnn	cnn	PROPN
cana-2889	70	3	-	-	PUNCT
cana-2889	70	4	am	be	AUX
cana-2889	70	5	used	use	VERB
cana-2889	70	6	the	the	DET
cana-2889	70	7	efficient	efficient	ADJ
cana-2889	70	8	decomposition	decomposition	NOUN
cana-2889	70	9	of	of	ADP
cana-2889	70	10	complicated	complicated	ADJ
cana-2889	70	11	signals	signal	NOUN
cana-2889	70	12	into	into	ADP
cana-2889	70	13	simpler	simple	ADJ
cana-2889	70	14	components	component	NOUN
cana-2889	70	15	by	by	ADP
cana-2889	70	16	the	the	DET
cana-2889	70	17	integration	integration	NOUN
cana-2889	70	18	of	of	ADP
cana-2889	70	19	eemd	eemd	PROPN
cana-2889	70	20	to	to	PART
cana-2889	70	21	concentrate	concentrate	VERB
cana-2889	70	22	on	on	ADP
cana-2889	70	23	important	important	ADJ
cana-2889	70	24	features	feature	NOUN
cana-2889	70	25	that	that	PRON
cana-2889	70	26	are	be	AUX
cana-2889	70	27	essential	essential	ADJ
cana-2889	70	28	for	for	ADP
cana-2889	70	29	predicting	predict	VERB
cana-2889	70	30	.	.	PUNCT
cana-2889	71	1	performance	performance	NOUN
cana-2889	71	2	indicators	indicator	NOUN
cana-2889	71	3	showed	show	VERB
cana-2889	71	4	a	a	DET
cana-2889	71	5	significant	significant	ADJ
cana-2889	71	6	communications	communication	NOUN
cana-2889	71	7	on	on	ADP
cana-2889	71	8	applied	apply	VERB
cana-2889	71	9	nonlinear	nonlinear	ADJ
cana-2889	71	10	analysis	analysis	NOUN
cana-2889	71	11	issn	issn	NOUN
cana-2889	71	12	:	:	PUNCT
cana-2889	71	13	1074	1074	NUM
cana-2889	71	14	-	-	PUNCT
cana-2889	71	15	133x	133x	NUM
cana-2889	71	16	vol	vol	NOUN
cana-2889	71	17	32	32	NUM
cana-2889	71	18	no	no	NOUN
cana-2889	71	19	.	.	PUNCT
cana-2889	72	1	4s	4s	NUM
cana-2889	72	2	(	(	PUNCT
cana-2889	72	3	2025	2025	NUM
cana-2889	72	4	)	)	PUNCT
cana-2889	72	5	626	626	NUM
cana-2889	72	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	72	7	improvement	improvement	NOUN
cana-2889	72	8	in	in	ADP
cana-2889	72	9	forecast	forecast	NOUN
cana-2889	72	10	accuracy	accuracy	NOUN
cana-2889	72	11	,	,	PUNCT
cana-2889	72	12	making	make	VERB
cana-2889	72	13	it	it	PRON
cana-2889	72	14	a	a	DET
cana-2889	72	15	useful	useful	ADJ
cana-2889	72	16	tool	tool	NOUN
cana-2889	72	17	for	for	ADP
cana-2889	72	18	market	market	NOUN
cana-2889	72	19	participants	participant	NOUN
cana-2889	72	20	looking	look	VERB
cana-2889	72	21	to	to	PART
cana-2889	72	22	improve	improve	VERB
cana-2889	72	23	operational	operational	ADJ
cana-2889	72	24	efficiency	efficiency	NOUN
cana-2889	72	25	and	and	CCONJ
cana-2889	72	26	pricing	pricing	NOUN
cana-2889	72	27	strategies	strategy	NOUN
cana-2889	72	28	.	.	PUNCT
cana-2889	73	1	the	the	DET
cana-2889	73	2	study	study	NOUN
cana-2889	73	3	's	's	PART
cana-2889	73	4	findings	finding	NOUN
cana-2889	73	5	demonstrate	demonstrate	VERB
cana-2889	73	6	how	how	SCONJ
cana-2889	73	7	hybrid	hybrid	ADJ
cana-2889	73	8	models	model	NOUN
cana-2889	73	9	can	can	AUX
cana-2889	73	10	be	be	AUX
cana-2889	73	11	used	use	VERB
cana-2889	73	12	to	to	PART
cana-2889	73	13	tackle	tackle	VERB
cana-2889	73	14	the	the	DET
cana-2889	73	15	difficulties	difficulty	NOUN
cana-2889	73	16	brought	bring	VERB
cana-2889	73	17	on	on	ADP
cana-2889	73	18	by	by	ADP
cana-2889	73	19	the	the	DET
cana-2889	73	20	extremely	extremely	ADV
cana-2889	73	21	erratic	erratic	ADJ
cana-2889	73	22	nature	nature	NOUN
cana-2889	73	23	of	of	ADP
cana-2889	73	24	electricity	electricity	NOUN
cana-2889	73	25	markets	market	NOUN
cana-2889	73	26	and	and	CCONJ
cana-2889	73	27	emphasise	emphasise	VERB
cana-2889	73	28	their	their	PRON
cana-2889	73	29	usefulness	usefulness	NOUN
cana-2889	73	30	in	in	ADP
cana-2889	73	31	practical	practical	ADJ
cana-2889	73	32	situations	situation	NOUN
cana-2889	73	33	.	.	PUNCT
cana-2889	74	1	fig	fig	NOUN
cana-2889	74	2	.	.	PUNCT
cana-2889	75	1	4	4	NUM
cana-2889	75	2	:	:	PUNCT
cana-2889	75	3	hybrid	hybrid	ADJ
cana-2889	75	4	model	model	NOUN
cana-2889	75	5	for	for	ADP
cana-2889	75	6	electricity	electricity	NOUN
cana-2889	75	7	price	price	NOUN
cana-2889	75	8	forecasting	forecasting	NOUN
cana-2889	75	9	b	b	NOUN
cana-2889	75	10	)	)	PUNCT
cana-2889	75	11	implementation	implementation	NOUN
cana-2889	75	12	of	of	ADP
cana-2889	75	13	eemd	eemd	PROPN
cana-2889	75	14	-	-	PROPN
cana-2889	75	15	cnn	cnn	PROPN
cana-2889	75	16	-	-	PUNCT
cana-2889	75	17	am	be	AUX
cana-2889	75	18	for	for	ADP
cana-2889	75	19	load	load	NOUN
cana-2889	75	20	forecasting	forecasting	NOUN
cana-2889	75	21	in	in	ADP
cana-2889	75	22	smart	smart	ADJ
cana-2889	75	23	grids	grid	NOUN
cana-2889	75	24	:	:	PUNCT
cana-2889	75	25	the	the	DET
cana-2889	75	26	effectiveness	effectiveness	NOUN
cana-2889	75	27	of	of	ADP
cana-2889	75	28	an	an	DET
cana-2889	75	29	eemd	eemd	PROPN
cana-2889	75	30	-	-	PROPN
cana-2889	75	31	cnn	cnn	PROPN
cana-2889	75	32	-	-	PUNCT
cana-2889	75	33	am	be	AUX
cana-2889	75	34	hybrid	hybrid	ADJ
cana-2889	75	35	model	model	NOUN
cana-2889	75	36	was	be	AUX
cana-2889	75	37	especially	especially	ADV
cana-2889	75	38	examined	examine	VERB
cana-2889	75	39	in	in	ADP
cana-2889	75	40	the	the	DET
cana-2889	75	41	context	context	NOUN
cana-2889	75	42	of	of	ADP
cana-2889	75	43	smart	smart	ADJ
cana-2889	75	44	grid	grid	NOUN
cana-2889	75	45	applications	application	NOUN
cana-2889	75	46	in	in	ADP
cana-2889	75	47	this	this	DET
cana-2889	75	48	case	case	NOUN
cana-2889	75	49	study	study	NOUN
cana-2889	75	50	.	.	PUNCT
cana-2889	76	1	the	the	DET
cana-2889	76	2	model	model	NOUN
cana-2889	76	3	's	's	PART
cana-2889	76	4	objective	objective	NOUN
cana-2889	76	5	was	be	AUX
cana-2889	76	6	to	to	PART
cana-2889	76	7	precisely	precisely	ADV
cana-2889	76	8	forecast	forecast	VERB
cana-2889	76	9	a	a	DET
cana-2889	76	10	regional	regional	ADJ
cana-2889	76	11	utility	utility	NOUN
cana-2889	76	12	company	company	NOUN
cana-2889	76	13	's	's	PART
cana-2889	76	14	shortto	shortto	ADJ
cana-2889	76	15	medium	medium	ADJ
cana-2889	76	16	-	-	PUNCT
cana-2889	76	17	term	term	NOUN
cana-2889	76	18	electric	electric	ADJ
cana-2889	76	19	load	load	NOUN
cana-2889	76	20	.	.	PUNCT
cana-2889	77	1	in	in	ADP
cana-2889	77	2	order	order	NOUN
cana-2889	77	3	to	to	PART
cana-2889	77	4	concentrate	concentrate	VERB
cana-2889	77	5	attention	attention	NOUN
cana-2889	77	6	on	on	ADP
cana-2889	77	7	times	time	NOUN
cana-2889	77	8	of	of	ADP
cana-2889	77	9	high	high	ADJ
cana-2889	77	10	demand	demand	NOUN
cana-2889	77	11	impacted	impact	VERB
cana-2889	77	12	by	by	ADP
cana-2889	77	13	seasonal	seasonal	ADJ
cana-2889	77	14	fluctuations	fluctuation	NOUN
cana-2889	77	15	,	,	PUNCT
cana-2889	77	16	consumer	consumer	NOUN
cana-2889	77	17	behaviour	behaviour	NOUN
cana-2889	77	18	,	,	PUNCT
cana-2889	77	19	and	and	CCONJ
cana-2889	77	20	external	external	ADJ
cana-2889	77	21	factors	factor	NOUN
cana-2889	77	22	like	like	ADP
cana-2889	77	23	weather	weather	NOUN
cana-2889	77	24	,	,	PUNCT
cana-2889	77	25	researchers	researcher	NOUN
cana-2889	77	26	used	use	VERB
cana-2889	77	27	eemd	eemd	PROPN
cana-2889	77	28	to	to	PART
cana-2889	77	29	break	break	VERB
cana-2889	77	30	down	down	ADP
cana-2889	77	31	historical	historical	ADJ
cana-2889	77	32	load	load	NOUN
cana-2889	77	33	data	datum	NOUN
cana-2889	77	34	into	into	ADP
cana-2889	77	35	simple	simple	ADJ
cana-2889	77	36	intrinsic	intrinsic	ADJ
cana-2889	77	37	mode	mode	NOUN
cana-2889	77	38	functions	function	NOUN
cana-2889	77	39	.	.	PUNCT
cana-2889	78	1	the	the	DET
cana-2889	78	2	cnn	cnn	PROPN
cana-2889	78	3	-	-	PUNCT
cana-2889	78	4	am	am	NOUN
cana-2889	78	5	framework	framework	NOUN
cana-2889	78	6	then	then	ADV
cana-2889	78	7	analysed	analyse	VERB
cana-2889	78	8	these	these	DET
cana-2889	78	9	mode	mode	NOUN
cana-2889	78	10	functions	function	NOUN
cana-2889	78	11	.	.	PUNCT
cana-2889	79	1	when	when	SCONJ
cana-2889	79	2	compared	compare	VERB
cana-2889	79	3	to	to	ADP
cana-2889	79	4	models	model	NOUN
cana-2889	79	5	that	that	SCONJ
cana-2889	79	6	only	only	ADV
cana-2889	79	7	used	use	VERB
cana-2889	79	8	historical	historical	ADJ
cana-2889	79	9	averages	average	NOUN
cana-2889	79	10	or	or	CCONJ
cana-2889	79	11	linear	linear	ADJ
cana-2889	79	12	regression	regression	NOUN
cana-2889	79	13	approaches	approach	NOUN
cana-2889	79	14	,	,	PUNCT
cana-2889	79	15	extensive	extensive	ADJ
cana-2889	79	16	testing	testing	NOUN
cana-2889	79	17	utilising	utilise	VERB
cana-2889	79	18	real	real	ADJ
cana-2889	79	19	-	-	PUNCT
cana-2889	79	20	world	world	NOUN
cana-2889	79	21	data	datum	NOUN
cana-2889	79	22	produced	produce	VERB
cana-2889	79	23	notable	notable	ADJ
cana-2889	79	24	reductions	reduction	NOUN
cana-2889	79	25	in	in	ADP
cana-2889	79	26	forecast	forecast	NOUN
cana-2889	79	27	errors	error	NOUN
cana-2889	79	28	.	.	PUNCT
cana-2889	80	1	according	accord	VERB
cana-2889	80	2	to	to	ADP
cana-2889	80	3	the	the	DET
cana-2889	80	4	study	study	NOUN
cana-2889	80	5	's	's	PART
cana-2889	80	6	findings	finding	NOUN
cana-2889	80	7	,	,	PUNCT
cana-2889	80	8	this	this	DET
cana-2889	80	9	hybrid	hybrid	ADJ
cana-2889	80	10	strategy	strategy	NOUN
cana-2889	80	11	increased	increase	VERB
cana-2889	80	12	the	the	DET
cana-2889	80	13	model	model	NOUN
cana-2889	80	14	's	's	PART
cana-2889	80	15	capacity	capacity	NOUN
cana-2889	80	16	to	to	PART
cana-2889	80	17	adjust	adjust	VERB
cana-2889	80	18	to	to	ADP
cana-2889	80	19	changing	change	VERB
cana-2889	80	20	load	load	NOUN
cana-2889	80	21	patterns	pattern	NOUN
cana-2889	80	22	,	,	PUNCT
cana-2889	80	23	which	which	PRON
cana-2889	80	24	is	be	AUX
cana-2889	80	25	essential	essential	ADJ
cana-2889	80	26	for	for	ADP
cana-2889	80	27	efficient	efficient	ADJ
cana-2889	80	28	demand	demand	NOUN
cana-2889	80	29	response	response	NOUN
cana-2889	80	30	and	and	CCONJ
cana-2889	80	31	grid	grid	NOUN
cana-2889	80	32	stability	stability	NOUN
cana-2889	80	33	management	management	NOUN
cana-2889	80	34	,	,	PUNCT
cana-2889	80	35	in	in	ADP
cana-2889	80	36	addition	addition	NOUN
cana-2889	80	37	to	to	ADP
cana-2889	80	38	improving	improve	VERB
cana-2889	80	39	forecasting	forecasting	NOUN
cana-2889	80	40	accuracy	accuracy	NOUN
cana-2889	80	41	.	.	PUNCT
cana-2889	81	1	c	c	X
cana-2889	81	2	)	)	PUNCT
cana-2889	81	3	california	california	PROPN
cana-2889	81	4	power	power	NOUN
cana-2889	81	5	market	market	NOUN
cana-2889	81	6	forecasting	forecasting	NOUN
cana-2889	81	7	employing	employ	VERB
cana-2889	81	8	cnn	cnn	PROPN
cana-2889	81	9	with	with	ADP
cana-2889	81	10	attention	attention	NOUN
cana-2889	81	11	mechanism	mechanism	NOUN
cana-2889	81	12	:	:	PUNCT
cana-2889	81	13	this	this	DET
cana-2889	81	14	study	study	NOUN
cana-2889	81	15	focused	focus	VERB
cana-2889	81	16	on	on	ADP
cana-2889	81	17	a	a	DET
cana-2889	81	18	hybrid	hybrid	ADJ
cana-2889	81	19	model	model	NOUN
cana-2889	81	20	that	that	PRON
cana-2889	81	21	forecasted	forecast	VERB
cana-2889	81	22	energy	energy	NOUN
cana-2889	81	23	load	load	NOUN
cana-2889	81	24	and	and	CCONJ
cana-2889	81	25	pricing	pricing	NOUN
cana-2889	81	26	in	in	ADP
cana-2889	81	27	the	the	DET
cana-2889	81	28	california	california	PROPN
cana-2889	81	29	power	power	NOUN
cana-2889	81	30	market	market	NOUN
cana-2889	81	31	by	by	ADP
cana-2889	81	32	combining	combine	VERB
cana-2889	81	33	cnn	cnn	PROPN
cana-2889	81	34	and	and	CCONJ
cana-2889	81	35	eemd	eemd	PROPN
cana-2889	81	36	with	with	ADP
cana-2889	81	37	an	an	DET
cana-2889	81	38	attention	attention	NOUN
cana-2889	81	39	mechanism	mechanism	NOUN
cana-2889	81	40	.	.	PUNCT
cana-2889	82	1	the	the	DET
cana-2889	82	2	architecture	architecture	NOUN
cana-2889	82	3	of	of	ADP
cana-2889	82	4	the	the	DET
cana-2889	82	5	model	model	NOUN
cana-2889	82	6	was	be	AUX
cana-2889	82	7	created	create	VERB
cana-2889	82	8	to	to	PART
cana-2889	82	9	address	address	VERB
cana-2889	82	10	the	the	DET
cana-2889	82	11	state	state	NOUN
cana-2889	82	12	's	's	PART
cana-2889	82	13	particular	particular	ADJ
cana-2889	82	14	environmental	environmental	ADJ
cana-2889	82	15	factors	factor	NOUN
cana-2889	82	16	and	and	CCONJ
cana-2889	82	17	market	market	NOUN
cana-2889	82	18	dynamics	dynamic	NOUN
cana-2889	82	19	,	,	PUNCT
cana-2889	82	20	including	include	VERB
cana-2889	82	21	the	the	DET
cana-2889	82	22	incorporation	incorporation	NOUN
cana-2889	82	23	of	of	ADP
cana-2889	82	24	renewable	renewable	ADJ
cana-2889	82	25	energy	energy	NOUN
cana-2889	82	26	sources	source	NOUN
cana-2889	82	27	.	.	PUNCT
cana-2889	83	1	the	the	DET
cana-2889	83	2	model	model	NOUN
cana-2889	83	3	was	be	AUX
cana-2889	83	4	able	able	ADJ
cana-2889	83	5	to	to	PART
cana-2889	83	6	capture	capture	VERB
cana-2889	83	7	both	both	DET
cana-2889	83	8	seasonal	seasonal	ADJ
cana-2889	83	9	trends	trend	NOUN
cana-2889	83	10	and	and	CCONJ
cana-2889	83	11	sudden	sudden	ADJ
cana-2889	83	12	changes	change	NOUN
cana-2889	83	13	in	in	ADP
cana-2889	83	14	consumption	consumption	NOUN
cana-2889	83	15	patterns	pattern	NOUN
cana-2889	83	16	by	by	ADP
cana-2889	83	17	using	use	VERB
cana-2889	83	18	the	the	DET
cana-2889	83	19	eemd	eemd	PROPN
cana-2889	83	20	approach	approach	NOUN
cana-2889	83	21	to	to	PART
cana-2889	83	22	divide	divide	VERB
cana-2889	83	23	load	load	NOUN
cana-2889	83	24	data	datum	NOUN
cana-2889	83	25	into	into	ADP
cana-2889	83	26	pertinent	pertinent	ADJ
cana-2889	83	27	components	component	NOUN
cana-2889	83	28	.	.	PUNCT
cana-2889	84	1	the	the	DET
cana-2889	84	2	cnn	cnn	PROPN
cana-2889	84	3	's	's	PART
cana-2889	84	4	capacity	capacity	NOUN
cana-2889	84	5	to	to	PART
cana-2889	84	6	focus	focus	VERB
cana-2889	84	7	on	on	ADP
cana-2889	84	8	pivotal	pivotal	ADJ
cana-2889	84	9	moments	moment	NOUN
cana-2889	84	10	that	that	PRON
cana-2889	84	11	represent	represent	VERB
cana-2889	84	12	notable	notable	ADJ
cana-2889	84	13	changes	change	NOUN
cana-2889	84	14	in	in	ADP
cana-2889	84	15	consumer	consumer	NOUN
cana-2889	84	16	behaviour	behaviour	NOUN
cana-2889	84	17	was	be	AUX
cana-2889	84	18	further	far	ADV
cana-2889	84	19	enhanced	enhance	VERB
cana-2889	84	20	by	by	ADP
cana-2889	84	21	the	the	DET
cana-2889	84	22	attention	attention	NOUN
cana-2889	84	23	mechanism	mechanism	NOUN
cana-2889	84	24	.	.	PUNCT
cana-2889	85	1	the	the	DET
cana-2889	85	2	findings	finding	NOUN
cana-2889	85	3	showed	show	VERB
cana-2889	85	4	that	that	SCONJ
cana-2889	85	5	,	,	PUNCT
cana-2889	85	6	in	in	ADP
cana-2889	85	7	comparison	comparison	NOUN
cana-2889	85	8	to	to	ADP
cana-2889	85	9	other	other	ADJ
cana-2889	85	10	forecasting	forecasting	NOUN
cana-2889	85	11	techniques	technique	NOUN
cana-2889	85	12	,	,	PUNCT
cana-2889	85	13	the	the	DET
cana-2889	85	14	hybrid	hybrid	ADJ
cana-2889	85	15	model	model	NOUN
cana-2889	85	16	offered	offer	VERB
cana-2889	85	17	a	a	DET
cana-2889	85	18	more	more	ADV
cana-2889	85	19	detailed	detailed	ADJ
cana-2889	85	20	perspective	perspective	NOUN
cana-2889	85	21	of	of	ADP
cana-2889	85	22	the	the	DET
cana-2889	85	23	dynamics	dynamic	NOUN
cana-2889	85	24	of	of	ADP
cana-2889	85	25	power	power	NOUN
cana-2889	85	26	consumption	consumption	NOUN
cana-2889	85	27	.	.	PUNCT
cana-2889	86	1	stakeholders	stakeholder	NOUN
cana-2889	86	2	obtained	obtain	VERB
cana-2889	86	3	knowledge	knowledge	NOUN
cana-2889	86	4	that	that	PRON
cana-2889	86	5	enabled	enable	VERB
cana-2889	86	6	them	they	PRON
cana-2889	86	7	to	to	PART
cana-2889	86	8	adjust	adjust	VERB
cana-2889	86	9	pricing	pricing	NOUN
cana-2889	86	10	and	and	CCONJ
cana-2889	86	11	generation	generation	NOUN
cana-2889	86	12	schedules	schedule	NOUN
cana-2889	86	13	to	to	PART
cana-2889	86	14	closely	closely	ADV
cana-2889	86	15	match	match	VERB
cana-2889	86	16	changes	change	NOUN
cana-2889	86	17	in	in	ADP
cana-2889	86	18	demand	demand	NOUN
cana-2889	86	19	and	and	CCONJ
cana-2889	86	20	initiatives	initiative	NOUN
cana-2889	86	21	to	to	PART
cana-2889	86	22	integrate	integrate	VERB
cana-2889	86	23	renewable	renewable	ADJ
cana-2889	86	24	energy	energy	NOUN
cana-2889	86	25	sources	source	NOUN
cana-2889	86	26	.	.	PUNCT
cana-2889	87	1	ii	ii	PROPN
cana-2889	87	2	.	.	PUNCT
cana-2889	88	1	literature	literature	PROPN
cana-2889	88	2	review	review	PROPN
cana-2889	88	3	[	[	X
cana-2889	88	4	1	1	NUM
cana-2889	88	5	]	]	X
cana-2889	88	6	convolutional	convolutional	ADJ
cana-2889	88	7	neural	neural	ADJ
cana-2889	88	8	networks	network	NOUN
cana-2889	88	9	(	(	PUNCT
cana-2889	88	10	cnn	cnn	PROPN
cana-2889	88	11	)	)	PUNCT
cana-2889	88	12	were	be	AUX
cana-2889	88	13	the	the	DET
cana-2889	88	14	main	main	ADJ
cana-2889	88	15	focus	focus	NOUN
cana-2889	88	16	of	of	ADP
cana-2889	88	17	smith	smith	PROPN
cana-2889	88	18	et	et	PROPN
cana-2889	88	19	al	al	PROPN
cana-2889	88	20	.	.	PROPN
cana-2889	88	21	's	's	PART
cana-2889	88	22	(	(	PUNCT
cana-2889	88	23	2018	2018	NUM
cana-2889	88	24	)	)	PUNCT
cana-2889	88	25	investigation	investigation	NOUN
cana-2889	88	26	on	on	ADP
cana-2889	88	27	the	the	DET
cana-2889	88	28	use	use	NOUN
cana-2889	88	29	of	of	ADP
cana-2889	88	30	deep	deep	ADJ
cana-2889	88	31	learning	learning	NOUN
cana-2889	88	32	methods	method	NOUN
cana-2889	88	33	for	for	ADP
cana-2889	88	34	electrical	electrical	ADJ
cana-2889	88	35	load	load	NOUN
cana-2889	88	36	forecasting	forecasting	NOUN
cana-2889	88	37	.	.	PUNCT
cana-2889	89	1	the	the	DET
cana-2889	89	2	study	study	NOUN
cana-2889	89	3	demonstrated	demonstrate	VERB
cana-2889	89	4	how	how	SCONJ
cana-2889	89	5	cnns	cnns	ADJ
cana-2889	89	6	communications	communication	NOUN
cana-2889	89	7	on	on	ADP
cana-2889	89	8	applied	apply	VERB
cana-2889	89	9	nonlinear	nonlinear	ADJ
cana-2889	89	10	analysis	analysis	NOUN
cana-2889	89	11	issn	issn	NOUN
cana-2889	89	12	:	:	PUNCT
cana-2889	89	13	1074	1074	NUM
cana-2889	89	14	-	-	PUNCT
cana-2889	89	15	133x	133x	NUM
cana-2889	89	16	vol	vol	NOUN
cana-2889	89	17	32	32	NUM
cana-2889	89	18	no	no	NOUN
cana-2889	89	19	.	.	PUNCT
cana-2889	90	1	4s	4s	NUM
cana-2889	90	2	(	(	PUNCT
cana-2889	90	3	2025	2025	NUM
cana-2889	90	4	)	)	PUNCT
cana-2889	90	5	627	627	NUM
cana-2889	90	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	90	7	capture	capture	NOUN
cana-2889	90	8	complex	complex	ADJ
cana-2889	90	9	patterns	pattern	NOUN
cana-2889	90	10	in	in	ADP
cana-2889	90	11	historical	historical	ADJ
cana-2889	90	12	load	load	NOUN
cana-2889	90	13	data	datum	NOUN
cana-2889	90	14	,	,	PUNCT
cana-2889	90	15	outperforming	outperform	VERB
cana-2889	90	16	conventional	conventional	ADJ
cana-2889	90	17	statistical	statistical	ADJ
cana-2889	90	18	models	model	NOUN
cana-2889	90	19	.	.	PUNCT
cana-2889	91	1	additionally	additionally	ADV
cana-2889	91	2	,	,	PUNCT
cana-2889	91	3	the	the	DET
cana-2889	91	4	authors	author	NOUN
cana-2889	91	5	stressed	stress	VERB
cana-2889	91	6	how	how	SCONJ
cana-2889	91	7	crucial	crucial	ADJ
cana-2889	91	8	pretreatment	pretreatment	NOUN
cana-2889	91	9	procedures	procedure	NOUN
cana-2889	91	10	like	like	ADP
cana-2889	91	11	data	datum	NOUN
cana-2889	91	12	normalisation	normalisation	NOUN
cana-2889	91	13	are	be	AUX
cana-2889	91	14	to	to	ADP
cana-2889	91	15	raising	raise	VERB
cana-2889	91	16	forecast	forecast	NOUN
cana-2889	91	17	accuracy	accuracy	NOUN
cana-2889	91	18	.	.	PUNCT
cana-2889	92	1	their	their	PRON
cana-2889	92	2	results	result	NOUN
cana-2889	92	3	showed	show	VERB
cana-2889	92	4	that	that	SCONJ
cana-2889	92	5	,	,	PUNCT
cana-2889	92	6	despite	despite	SCONJ
cana-2889	92	7	their	their	PRON
cana-2889	92	8	architectural	architectural	ADJ
cana-2889	92	9	restrictions	restriction	NOUN
cana-2889	92	10	,	,	PUNCT
cana-2889	92	11	cnn	cnn	PROPN
cana-2889	92	12	-	-	PUNCT
cana-2889	92	13	based	base	VERB
cana-2889	92	14	models	model	NOUN
cana-2889	92	15	were	be	AUX
cana-2889	92	16	better	well	ADJ
cana-2889	92	17	able	able	ADJ
cana-2889	92	18	to	to	PART
cana-2889	92	19	handle	handle	VERB
cana-2889	92	20	short	short	ADJ
cana-2889	92	21	-	-	PUNCT
cana-2889	92	22	term	term	NOUN
cana-2889	92	23	fluctuation	fluctuation	NOUN
cana-2889	92	24	than	than	ADP
cana-2889	92	25	medium	medium	ADJ
cana-2889	92	26	-	-	PUNCT
cana-2889	92	27	term	term	NOUN
cana-2889	92	28	trends	trend	NOUN
cana-2889	92	29	,	,	PUNCT
cana-2889	92	30	indicating	indicate	VERB
cana-2889	92	31	that	that	SCONJ
cana-2889	92	32	this	this	DET
cana-2889	92	33	gap	gap	NOUN
cana-2889	92	34	could	could	AUX
cana-2889	92	35	be	be	AUX
cana-2889	92	36	filled	fill	VERB
cana-2889	92	37	by	by	ADP
cana-2889	92	38	integrating	integrate	VERB
cana-2889	92	39	them	they	PRON
cana-2889	92	40	with	with	ADP
cana-2889	92	41	other	other	ADJ
cana-2889	92	42	models	model	NOUN
cana-2889	92	43	.	.	PUNCT
cana-2889	93	1	[	[	X
cana-2889	93	2	2	2	X
cana-2889	93	3	]	]	PUNCT
cana-2889	93	4	the	the	DET
cana-2889	93	5	possibility	possibility	NOUN
cana-2889	93	6	of	of	ADP
cana-2889	93	7	hybrid	hybrid	ADJ
cana-2889	93	8	neural	neural	ADJ
cana-2889	93	9	network	network	NOUN
cana-2889	93	10	models	model	NOUN
cana-2889	93	11	that	that	PRON
cana-2889	93	12	combine	combine	VERB
cana-2889	93	13	cnn	cnn	PROPN
cana-2889	93	14	and	and	CCONJ
cana-2889	93	15	long	long	ADJ
cana-2889	93	16	short	short	ADJ
cana-2889	93	17	-	-	PUNCT
cana-2889	93	18	term	term	NOUN
cana-2889	93	19	memory	memory	NOUN
cana-2889	93	20	(	(	PUNCT
cana-2889	93	21	lstm	lstm	NOUN
cana-2889	93	22	)	)	PUNCT
cana-2889	93	23	networks	network	NOUN
cana-2889	93	24	for	for	ADP
cana-2889	93	25	forecasting	forecast	VERB
cana-2889	93	26	electricity	electricity	NOUN
cana-2889	93	27	prices	price	NOUN
cana-2889	93	28	was	be	AUX
cana-2889	93	29	examined	examine	VERB
cana-2889	93	30	by	by	ADP
cana-2889	93	31	johnson	johnson	PROPN
cana-2889	93	32	et	et	PROPN
cana-2889	93	33	al	al	PROPN
cana-2889	93	34	.	.	PROPN
cana-2889	94	1	(	(	PUNCT
cana-2889	94	2	2019	2019	NUM
cana-2889	94	3	)	)	PUNCT
cana-2889	94	4	.	.	PUNCT
cana-2889	95	1	they	they	PRON
cana-2889	95	2	highlighted	highlight	VERB
cana-2889	95	3	how	how	SCONJ
cana-2889	95	4	lstms	lstms	ADJ
cana-2889	95	5	captured	capture	VERB
cana-2889	95	6	temporal	temporal	ADJ
cana-2889	95	7	dependencies	dependency	NOUN
cana-2889	95	8	and	and	CCONJ
cana-2889	95	9	cnns	cnn	NOUN
cana-2889	95	10	successfully	successfully	ADV
cana-2889	95	11	extracted	extract	VERB
cana-2889	95	12	spatial	spatial	ADJ
cana-2889	95	13	information	information	NOUN
cana-2889	95	14	from	from	ADP
cana-2889	95	15	input	input	NOUN
cana-2889	95	16	data	datum	NOUN
cana-2889	95	17	.	.	PUNCT
cana-2889	96	1	according	accord	VERB
cana-2889	96	2	to	to	ADP
cana-2889	96	3	the	the	DET
cana-2889	96	4	study	study	NOUN
cana-2889	96	5	,	,	PUNCT
cana-2889	96	6	the	the	DET
cana-2889	96	7	hybrid	hybrid	NOUN
cana-2889	96	8	model	model	NOUN
cana-2889	96	9	fared	fare	VERB
cana-2889	96	10	better	well	ADJ
cana-2889	96	11	at	at	ADP
cana-2889	96	12	forecasting	forecast	VERB
cana-2889	96	13	erratic	erratic	ADJ
cana-2889	96	14	price	price	NOUN
cana-2889	96	15	swings	swing	NOUN
cana-2889	96	16	than	than	ADP
cana-2889	96	17	the	the	DET
cana-2889	96	18	independent	independent	ADJ
cana-2889	96	19	cnn	cnn	PROPN
cana-2889	96	20	and	and	CCONJ
cana-2889	96	21	lstm	lstm	NOUN
cana-2889	96	22	models	model	NOUN
cana-2889	96	23	,	,	PUNCT
cana-2889	96	24	particularly	particularly	ADV
cana-2889	96	25	during	during	ADP
cana-2889	96	26	times	time	NOUN
cana-2889	96	27	of	of	ADP
cana-2889	96	28	high	high	ADJ
cana-2889	96	29	demand	demand	NOUN
cana-2889	96	30	.	.	PUNCT
cana-2889	97	1	the	the	DET
cana-2889	97	2	authors	author	NOUN
cana-2889	97	3	did	do	AUX
cana-2889	97	4	point	point	VERB
cana-2889	97	5	out	out	ADP
cana-2889	97	6	that	that	SCONJ
cana-2889	97	7	it	it	PRON
cana-2889	97	8	can	can	AUX
cana-2889	97	9	be	be	AUX
cana-2889	97	10	difficult	difficult	ADJ
cana-2889	97	11	to	to	PART
cana-2889	97	12	balance	balance	VERB
cana-2889	97	13	the	the	DET
cana-2889	97	14	contributions	contribution	NOUN
cana-2889	97	15	of	of	ADP
cana-2889	97	16	both	both	DET
cana-2889	97	17	designs	design	NOUN
cana-2889	97	18	by	by	ADP
cana-2889	97	19	adjusting	adjust	VERB
cana-2889	97	20	hyperparameters	hyperparameter	NOUN
cana-2889	97	21	.	.	PUNCT
cana-2889	98	1	[	[	X
cana-2889	98	2	3	3	X
cana-2889	98	3	]	]	X
cana-2889	98	4	the	the	DET
cana-2889	98	5	usefulness	usefulness	NOUN
cana-2889	98	6	of	of	ADP
cana-2889	98	7	attention	attention	NOUN
cana-2889	98	8	mechanisms	mechanism	NOUN
cana-2889	98	9	in	in	ADP
cana-2889	98	10	improving	improve	VERB
cana-2889	98	11	load	load	NOUN
cana-2889	98	12	forecasting	forecasting	NOUN
cana-2889	98	13	model	model	NOUN
cana-2889	98	14	performance	performance	NOUN
cana-2889	98	15	was	be	AUX
cana-2889	98	16	examined	examine	VERB
cana-2889	98	17	by	by	ADP
cana-2889	98	18	wang	wang	PROPN
cana-2889	98	19	et	et	PROPN
cana-2889	98	20	al	al	PROPN
cana-2889	98	21	.	.	PROPN
cana-2889	98	22	(	(	PUNCT
cana-2889	98	23	2020	2020	NUM
cana-2889	98	24	)	)	PUNCT
cana-2889	98	25	.	.	PUNCT
cana-2889	99	1	to	to	PART
cana-2889	99	2	highlight	highlight	VERB
cana-2889	99	3	important	important	ADJ
cana-2889	99	4	junctures	juncture	NOUN
cana-2889	99	5	in	in	ADP
cana-2889	99	6	historical	historical	ADJ
cana-2889	99	7	data	datum	NOUN
cana-2889	99	8	,	,	PUNCT
cana-2889	99	9	the	the	DET
cana-2889	99	10	authors	author	NOUN
cana-2889	99	11	incorporated	incorporate	VERB
cana-2889	99	12	an	an	DET
cana-2889	99	13	attention	attention	NOUN
cana-2889	99	14	mechanism	mechanism	NOUN
cana-2889	99	15	(	(	PUNCT
cana-2889	99	16	am	am	NOUN
cana-2889	99	17	)	)	PUNCT
cana-2889	99	18	module	module	NOUN
cana-2889	99	19	into	into	ADP
cana-2889	99	20	an	an	DET
cana-2889	99	21	lstm	lstm	NOUN
cana-2889	99	22	framework	framework	NOUN
cana-2889	99	23	.	.	PUNCT
cana-2889	100	1	when	when	SCONJ
cana-2889	100	2	compared	compare	VERB
cana-2889	100	3	to	to	ADP
cana-2889	100	4	non	non	ADJ
cana-2889	100	5	-	-	ADJ
cana-2889	100	6	attention	attention	NOUN
cana-2889	100	7	-	-	PUNCT
cana-2889	100	8	based	base	VERB
cana-2889	100	9	models	model	NOUN
cana-2889	100	10	,	,	PUNCT
cana-2889	100	11	the	the	DET
cana-2889	100	12	study	study	NOUN
cana-2889	100	13	demonstrated	demonstrate	VERB
cana-2889	100	14	a	a	DET
cana-2889	100	15	notable	notable	ADJ
cana-2889	100	16	improvement	improvement	NOUN
cana-2889	100	17	in	in	ADP
cana-2889	100	18	medium	medium	ADJ
cana-2889	100	19	-	-	PUNCT
cana-2889	100	20	term	term	NOUN
cana-2889	100	21	load	load	NOUN
cana-2889	100	22	forecasting	forecasting	NOUN
cana-2889	100	23	accuracy	accuracy	NOUN
cana-2889	100	24	.	.	PUNCT
cana-2889	101	1	their	their	PRON
cana-2889	101	2	research	research	NOUN
cana-2889	101	3	made	make	VERB
cana-2889	101	4	models	model	NOUN
cana-2889	101	5	easier	easy	ADJ
cana-2889	101	6	to	to	PART
cana-2889	101	7	understand	understand	VERB
cana-2889	101	8	by	by	ADP
cana-2889	101	9	shedding	shed	VERB
cana-2889	101	10	light	light	NOUN
cana-2889	101	11	on	on	ADP
cana-2889	101	12	how	how	SCONJ
cana-2889	101	13	attention	attention	NOUN
cana-2889	101	14	layers	layer	NOUN
cana-2889	101	15	dynamically	dynamically	ADV
cana-2889	101	16	weigh	weigh	VERB
cana-2889	101	17	input	input	NOUN
cana-2889	101	18	characteristics	characteristic	NOUN
cana-2889	101	19	.	.	PUNCT
cana-2889	102	1	[	[	X
cana-2889	102	2	4	4	X
cana-2889	102	3	]	]	PUNCT
cana-2889	102	4	in	in	ADP
cana-2889	102	5	order	order	NOUN
cana-2889	102	6	to	to	PART
cana-2889	102	7	anticipate	anticipate	VERB
cana-2889	102	8	power	power	NOUN
cana-2889	102	9	load	load	NOUN
cana-2889	102	10	,	,	PUNCT
cana-2889	102	11	chen	chen	PROPN
cana-2889	102	12	et	et	PROPN
cana-2889	102	13	al	al	PROPN
cana-2889	102	14	.	.	PROPN
cana-2889	102	15	(	(	PUNCT
cana-2889	102	16	2021	2021	NUM
cana-2889	102	17	)	)	PUNCT
cana-2889	102	18	presented	present	VERB
cana-2889	102	19	a	a	DET
cana-2889	102	20	novel	novel	ADJ
cana-2889	102	21	hybrid	hybrid	NOUN
cana-2889	102	22	model	model	NOUN
cana-2889	102	23	that	that	PRON
cana-2889	102	24	combines	combine	VERB
cana-2889	102	25	cnn	cnn	PROPN
cana-2889	102	26	and	and	CCONJ
cana-2889	102	27	am	be	AUX
cana-2889	102	28	.	.	PUNCT
cana-2889	103	1	their	their	PRON
cana-2889	103	2	method	method	NOUN
cana-2889	103	3	used	use	VERB
cana-2889	103	4	am	be	AUX
cana-2889	103	5	to	to	PART
cana-2889	103	6	highlight	highlight	VERB
cana-2889	103	7	pertinent	pertinent	ADJ
cana-2889	103	8	time	time	NOUN
cana-2889	103	9	periods	period	NOUN
cana-2889	103	10	and	and	CCONJ
cana-2889	103	11	cnn	cnn	PROPN
cana-2889	103	12	to	to	PART
cana-2889	103	13	identify	identify	VERB
cana-2889	103	14	local	local	ADJ
cana-2889	103	15	patterns	pattern	NOUN
cana-2889	103	16	in	in	ADP
cana-2889	103	17	historical	historical	ADJ
cana-2889	103	18	data	datum	NOUN
cana-2889	103	19	.	.	PUNCT
cana-2889	104	1	when	when	SCONJ
cana-2889	104	2	compared	compare	VERB
cana-2889	104	3	to	to	ADP
cana-2889	104	4	conventional	conventional	ADJ
cana-2889	104	5	machine	machine	NOUN
cana-2889	104	6	learning	learning	NOUN
cana-2889	104	7	models	model	NOUN
cana-2889	104	8	,	,	PUNCT
cana-2889	104	9	the	the	DET
cana-2889	104	10	authors	author	NOUN
cana-2889	104	11	reported	report	VERB
cana-2889	104	12	better	well	ADJ
cana-2889	104	13	performance	performance	NOUN
cana-2889	104	14	in	in	ADP
cana-2889	104	15	both	both	DET
cana-2889	104	16	shortand	shortand	NOUN
cana-2889	104	17	medium	medium	ADJ
cana-2889	104	18	-	-	PUNCT
cana-2889	104	19	term	term	NOUN
cana-2889	104	20	forecasts	forecast	NOUN
cana-2889	104	21	.	.	PUNCT
cana-2889	105	1	additionally	additionally	ADV
cana-2889	105	2	,	,	PUNCT
cana-2889	105	3	they	they	PRON
cana-2889	105	4	emphasised	emphasise	VERB
cana-2889	105	5	how	how	SCONJ
cana-2889	105	6	crucial	crucial	ADJ
cana-2889	105	7	it	it	PRON
cana-2889	105	8	is	be	AUX
cana-2889	105	9	to	to	PART
cana-2889	105	10	optimise	optimise	VERB
cana-2889	105	11	cnn	cnn	PROPN
cana-2889	105	12	filter	filter	NOUN
cana-2889	105	13	widths	width	NOUN
cana-2889	105	14	and	and	CCONJ
cana-2889	105	15	attention	attention	NOUN
cana-2889	105	16	weight	weight	NOUN
cana-2889	105	17	parameters	parameter	NOUN
cana-2889	105	18	in	in	ADP
cana-2889	105	19	order	order	NOUN
cana-2889	105	20	to	to	PART
cana-2889	105	21	get	get	VERB
cana-2889	105	22	consistent	consistent	ADJ
cana-2889	105	23	outcomes	outcome	NOUN
cana-2889	105	24	across	across	ADP
cana-2889	105	25	a	a	DET
cana-2889	105	26	variety	variety	NOUN
cana-2889	105	27	of	of	ADP
cana-2889	105	28	datasets	dataset	NOUN
cana-2889	105	29	.	.	PUNCT
cana-2889	106	1	[	[	X
cana-2889	106	2	5	5	NUM
cana-2889	106	3	]	]	PUNCT
cana-2889	106	4	a	a	DET
cana-2889	106	5	thorough	thorough	ADJ
cana-2889	106	6	investigation	investigation	NOUN
cana-2889	106	7	on	on	ADP
cana-2889	106	8	the	the	DET
cana-2889	106	9	application	application	NOUN
cana-2889	106	10	of	of	ADP
cana-2889	106	11	deep	deep	ADJ
cana-2889	106	12	learning	learning	NOUN
cana-2889	106	13	models	model	NOUN
cana-2889	106	14	for	for	ADP
cana-2889	106	15	forecasting	forecast	VERB
cana-2889	106	16	power	power	NOUN
cana-2889	106	17	prices	price	NOUN
cana-2889	106	18	in	in	ADP
cana-2889	106	19	deregulated	deregulated	ADJ
cana-2889	106	20	markets	market	NOUN
cana-2889	106	21	was	be	AUX
cana-2889	106	22	carried	carry	VERB
cana-2889	106	23	out	out	ADP
cana-2889	106	24	by	by	ADP
cana-2889	106	25	patel	patel	PROPN
cana-2889	106	26	et	et	PROPN
cana-2889	106	27	al	al	PROPN
cana-2889	106	28	.	.	PROPN
cana-2889	107	1	(	(	PUNCT
cana-2889	107	2	2019	2019	NUM
cana-2889	107	3	)	)	PUNCT
cana-2889	107	4	.	.	PUNCT
cana-2889	108	1	they	they	PRON
cana-2889	108	2	showed	show	VERB
cana-2889	108	3	that	that	SCONJ
cana-2889	108	4	cnn	cnn	PROPN
cana-2889	108	5	-	-	PUNCT
cana-2889	108	6	based	base	VERB
cana-2889	108	7	models	model	NOUN
cana-2889	108	8	performed	perform	VERB
cana-2889	108	9	well	well	ADV
cana-2889	108	10	at	at	ADP
cana-2889	108	11	identifying	identify	VERB
cana-2889	108	12	nonlinear	nonlinear	ADJ
cana-2889	108	13	patterns	pattern	NOUN
cana-2889	108	14	but	but	CCONJ
cana-2889	108	15	poorly	poorly	ADV
cana-2889	108	16	at	at	ADP
cana-2889	108	17	identifying	identify	VERB
cana-2889	108	18	medium	medium	ADJ
cana-2889	108	19	-	-	PUNCT
cana-2889	108	20	term	term	NOUN
cana-2889	108	21	trends	trend	NOUN
cana-2889	108	22	because	because	SCONJ
cana-2889	108	23	of	of	ADP
cana-2889	108	24	their	their	PRON
cana-2889	108	25	poor	poor	ADJ
cana-2889	108	26	memory	memory	NOUN
cana-2889	108	27	capacity	capacity	NOUN
cana-2889	108	28	.	.	PUNCT
cana-2889	109	1	in	in	ADP
cana-2889	109	2	order	order	NOUN
cana-2889	109	3	to	to	PART
cana-2889	109	4	improve	improve	VERB
cana-2889	109	5	medium	medium	ADJ
cana-2889	109	6	-	-	PUNCT
cana-2889	109	7	term	term	NOUN
cana-2889	109	8	price	price	NOUN
cana-2889	109	9	projections	projection	NOUN
cana-2889	109	10	,	,	PUNCT
cana-2889	109	11	the	the	DET
cana-2889	109	12	study	study	NOUN
cana-2889	109	13	recommended	recommend	VERB
cana-2889	109	14	incorporating	incorporate	VERB
cana-2889	109	15	recurrent	recurrent	ADJ
cana-2889	109	16	architectures	architecture	NOUN
cana-2889	109	17	or	or	CCONJ
cana-2889	109	18	external	external	ADJ
cana-2889	109	19	smoothing	smoothing	NOUN
cana-2889	109	20	approaches	approach	NOUN
cana-2889	109	21	.	.	PUNCT
cana-2889	110	1	[	[	X
cana-2889	110	2	6	6	NUM
cana-2889	110	3	]	]	PUNCT
cana-2889	110	4	for	for	ADP
cana-2889	110	5	electrical	electrical	ADJ
cana-2889	110	6	load	load	NOUN
cana-2889	110	7	forecasting	forecasting	NOUN
cana-2889	110	8	,	,	PUNCT
cana-2889	110	9	lee	lee	PROPN
cana-2889	110	10	et	et	PROPN
cana-2889	110	11	al	al	PROPN
cana-2889	110	12	.	.	PROPN
cana-2889	111	1	(	(	PUNCT
cana-2889	111	2	2022	2022	NUM
cana-2889	111	3	)	)	PUNCT
cana-2889	111	4	presented	present	VERB
cana-2889	111	5	a	a	DET
cana-2889	111	6	multi	multi	ADJ
cana-2889	111	7	-	-	ADJ
cana-2889	111	8	scale	scale	ADJ
cana-2889	111	9	cnn	cnn	NOUN
cana-2889	111	10	architecture	architecture	NOUN
cana-2889	111	11	that	that	PRON
cana-2889	111	12	is	be	AUX
cana-2889	111	13	intended	intend	VERB
cana-2889	111	14	to	to	PART
cana-2889	111	15	capture	capture	VERB
cana-2889	111	16	trends	trend	NOUN
cana-2889	111	17	at	at	ADP
cana-2889	111	18	various	various	ADJ
cana-2889	111	19	resolutions	resolution	NOUN
cana-2889	111	20	.	.	PUNCT
cana-2889	112	1	their	their	PRON
cana-2889	112	2	approach	approach	NOUN
cana-2889	112	3	improved	improve	VERB
cana-2889	112	4	the	the	DET
cana-2889	112	5	accuracy	accuracy	NOUN
cana-2889	112	6	of	of	ADP
cana-2889	112	7	shortand	shortand	NOUN
cana-2889	112	8	medium	medium	ADJ
cana-2889	112	9	-	-	PUNCT
cana-2889	112	10	term	term	NOUN
cana-2889	112	11	projections	projection	NOUN
cana-2889	112	12	by	by	ADP
cana-2889	112	13	handling	handle	VERB
cana-2889	112	14	a	a	DET
cana-2889	112	15	variety	variety	NOUN
cana-2889	112	16	of	of	ADP
cana-2889	112	17	time	time	NOUN
cana-2889	112	18	scales	scale	VERB
cana-2889	112	19	with	with	ADP
cana-2889	112	20	ease	ease	NOUN
cana-2889	112	21	.	.	PUNCT
cana-2889	113	1	the	the	DET
cana-2889	113	2	study	study	NOUN
cana-2889	113	3	underlined	underline	VERB
cana-2889	113	4	how	how	SCONJ
cana-2889	113	5	crucial	crucial	ADJ
cana-2889	113	6	multi	multi	ADJ
cana-2889	113	7	-	-	ADJ
cana-2889	113	8	scale	scale	ADJ
cana-2889	113	9	convolutional	convolutional	ADJ
cana-2889	113	10	kernels	kernel	NOUN
cana-2889	113	11	are	be	AUX
cana-2889	113	12	for	for	ADP
cana-2889	113	13	adjusting	adjust	VERB
cana-2889	113	14	to	to	ADP
cana-2889	113	15	different	different	ADJ
cana-2889	113	16	input	input	NOUN
cana-2889	113	17	data	datum	NOUN
cana-2889	113	18	granularities	granularity	NOUN
cana-2889	113	19	.	.	PUNCT
cana-2889	114	1	the	the	DET
cana-2889	114	2	authors	author	NOUN
cana-2889	114	3	also	also	ADV
cana-2889	114	4	discussed	discuss	VERB
cana-2889	114	5	computational	computational	ADJ
cana-2889	114	6	issues	issue	NOUN
cana-2889	114	7	and	and	CCONJ
cana-2889	114	8	offered	offer	VERB
cana-2889	114	9	methods	method	NOUN
cana-2889	114	10	for	for	ADP
cana-2889	114	11	effectively	effectively	ADV
cana-2889	114	12	training	train	VERB
cana-2889	114	13	big	big	ADJ
cana-2889	114	14	models	model	NOUN
cana-2889	114	15	.	.	PUNCT
cana-2889	115	1	[	[	X
cana-2889	115	2	7	7	X
cana-2889	115	3	]	]	PUNCT
cana-2889	115	4	by	by	ADP
cana-2889	115	5	merging	merge	VERB
cana-2889	115	6	statistical	statistical	ADJ
cana-2889	115	7	techniques	technique	NOUN
cana-2889	115	8	with	with	ADP
cana-2889	115	9	cnns	cnn	NOUN
cana-2889	115	10	,	,	PUNCT
cana-2889	115	11	kim	kim	PROPN
cana-2889	115	12	et	et	PROPN
cana-2889	115	13	al	al	PROPN
cana-2889	115	14	.	.	PROPN
cana-2889	115	15	(	(	PUNCT
cana-2889	115	16	2020	2020	NUM
cana-2889	115	17	)	)	PUNCT
cana-2889	115	18	emphasised	emphasise	VERB
cana-2889	115	19	the	the	DET
cana-2889	115	20	importance	importance	NOUN
cana-2889	115	21	of	of	ADP
cana-2889	115	22	hybrid	hybrid	ADJ
cana-2889	115	23	models	model	NOUN
cana-2889	115	24	for	for	ADP
cana-2889	115	25	forecasting	forecast	VERB
cana-2889	115	26	electricity	electricity	NOUN
cana-2889	115	27	prices	price	NOUN
cana-2889	115	28	.	.	PUNCT
cana-2889	116	1	the	the	DET
cana-2889	116	2	study	study	NOUN
cana-2889	116	3	showed	show	VERB
cana-2889	116	4	that	that	SCONJ
cana-2889	116	5	hybrid	hybrid	ADJ
cana-2889	116	6	techniques	technique	NOUN
cana-2889	116	7	improve	improve	VERB
cana-2889	116	8	generalisation	generalisation	NOUN
cana-2889	116	9	on	on	ADP
cana-2889	116	10	unseen	unseen	ADJ
cana-2889	116	11	data	datum	NOUN
cana-2889	116	12	by	by	ADP
cana-2889	116	13	utilising	utilise	VERB
cana-2889	116	14	the	the	DET
cana-2889	116	15	advantages	advantage	NOUN
cana-2889	116	16	of	of	ADP
cana-2889	116	17	both	both	DET
cana-2889	116	18	paradigms	paradigm	NOUN
cana-2889	116	19	.	.	PUNCT
cana-2889	117	1	while	while	SCONJ
cana-2889	117	2	statistical	statistical	ADJ
cana-2889	117	3	models	model	NOUN
cana-2889	117	4	produced	produce	VERB
cana-2889	117	5	reliable	reliable	ADJ
cana-2889	117	6	baseline	baseline	NOUN
cana-2889	117	7	projections	projection	NOUN
cana-2889	117	8	,	,	PUNCT
cana-2889	117	9	cnns	cnn	NOUN
cana-2889	117	10	were	be	AUX
cana-2889	117	11	able	able	ADJ
cana-2889	117	12	to	to	PART
cana-2889	117	13	catch	catch	VERB
cana-2889	117	14	complex	complex	ADJ
cana-2889	117	15	patterns	pattern	NOUN
cana-2889	117	16	.	.	PUNCT
cana-2889	118	1	the	the	DET
cana-2889	118	2	study	study	NOUN
cana-2889	118	3	came	come	VERB
cana-2889	118	4	to	to	ADP
cana-2889	118	5	the	the	DET
cana-2889	118	6	conclusion	conclusion	NOUN
cana-2889	118	7	that	that	SCONJ
cana-2889	118	8	cnn	cnn	PROPN
cana-2889	118	9	architectures	architecture	NOUN
cana-2889	118	10	can	can	AUX
cana-2889	118	11	further	far	ADV
cana-2889	118	12	improve	improve	VERB
cana-2889	118	13	model	model	NOUN
cana-2889	118	14	performance	performance	NOUN
cana-2889	118	15	by	by	ADP
cana-2889	118	16	incorporating	incorporate	VERB
cana-2889	118	17	domain	domain	NOUN
cana-2889	118	18	knowledge	knowledge	NOUN
cana-2889	118	19	.	.	PUNCT
cana-2889	119	1	communications	communication	NOUN
cana-2889	119	2	on	on	ADP
cana-2889	119	3	applied	apply	VERB
cana-2889	119	4	nonlinear	nonlinear	ADJ
cana-2889	119	5	analysis	analysis	NOUN
cana-2889	119	6	issn	issn	NOUN
cana-2889	119	7	:	:	PUNCT
cana-2889	119	8	1074	1074	NUM
cana-2889	119	9	-	-	PUNCT
cana-2889	119	10	133x	133x	NUM
cana-2889	119	11	vol	vol	NOUN
cana-2889	119	12	32	32	NUM
cana-2889	119	13	no	no	NOUN
cana-2889	119	14	.	.	PUNCT
cana-2889	120	1	4s	4s	NUM
cana-2889	120	2	(	(	PUNCT
cana-2889	120	3	2025	2025	NUM
cana-2889	120	4	)	)	PUNCT
cana-2889	120	5	628	628	NUM
cana-2889	120	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	121	1	[	[	X
cana-2889	121	2	8	8	X
cana-2889	121	3	]	]	X
cana-2889	121	4	the	the	DET
cana-2889	121	5	use	use	NOUN
cana-2889	121	6	of	of	ADP
cana-2889	121	7	cnns	cnn	NOUN
cana-2889	121	8	in	in	ADP
cana-2889	121	9	predicting	predict	VERB
cana-2889	121	10	power	power	NOUN
cana-2889	121	11	load	load	NOUN
cana-2889	121	12	for	for	ADP
cana-2889	121	13	grids	grid	NOUN
cana-2889	121	14	with	with	ADP
cana-2889	121	15	renewable	renewable	ADJ
cana-2889	121	16	energy	energy	NOUN
cana-2889	121	17	integration	integration	NOUN
cana-2889	121	18	was	be	AUX
cana-2889	121	19	investigated	investigate	VERB
cana-2889	121	20	by	by	ADP
cana-2889	121	21	zhou	zhou	PROPN
cana-2889	121	22	et	et	PROPN
cana-2889	121	23	al	al	PROPN
cana-2889	121	24	.	.	PROPN
cana-2889	122	1	(	(	PUNCT
cana-2889	122	2	2018	2018	NUM
cana-2889	122	3	)	)	PUNCT
cana-2889	122	4	.	.	PUNCT
cana-2889	123	1	cnns	cnns	PROPN
cana-2889	123	2	successfully	successfully	ADV
cana-2889	123	3	captured	capture	VERB
cana-2889	123	4	load	load	NOUN
cana-2889	123	5	patterns	pattern	NOUN
cana-2889	123	6	influenced	influence	VERB
cana-2889	123	7	by	by	ADP
cana-2889	123	8	intermittent	intermittent	ADJ
cana-2889	123	9	renewable	renewable	ADJ
cana-2889	123	10	power	power	NOUN
cana-2889	123	11	,	,	PUNCT
cana-2889	123	12	according	accord	VERB
cana-2889	123	13	to	to	ADP
cana-2889	123	14	their	their	PRON
cana-2889	123	15	study	study	NOUN
cana-2889	123	16	.	.	PUNCT
cana-2889	124	1	they	they	PRON
cana-2889	124	2	highlighted	highlight	VERB
cana-2889	124	3	how	how	SCONJ
cana-2889	124	4	data	datum	NOUN
cana-2889	124	5	augmentation	augmentation	NOUN
cana-2889	124	6	methods	method	NOUN
cana-2889	124	7	can	can	AUX
cana-2889	124	8	increase	increase	VERB
cana-2889	124	9	the	the	DET
cana-2889	124	10	resilience	resilience	NOUN
cana-2889	124	11	of	of	ADP
cana-2889	124	12	models	model	NOUN
cana-2889	124	13	.	.	PUNCT
cana-2889	125	1	the	the	DET
cana-2889	125	2	authors	author	NOUN
cana-2889	125	3	also	also	ADV
cana-2889	125	4	talked	talk	VERB
cana-2889	125	5	about	about	ADP
cana-2889	125	6	how	how	SCONJ
cana-2889	125	7	hybrid	hybrid	ADJ
cana-2889	125	8	models	model	NOUN
cana-2889	125	9	that	that	PRON
cana-2889	125	10	combine	combine	VERB
cana-2889	125	11	cnn	cnn	PROPN
cana-2889	125	12	and	and	CCONJ
cana-2889	125	13	recurrent	recurrent	ADJ
cana-2889	125	14	architectures	architecture	NOUN
cana-2889	125	15	could	could	AUX
cana-2889	125	16	be	be	AUX
cana-2889	125	17	used	use	VERB
cana-2889	125	18	to	to	PART
cana-2889	125	19	solve	solve	VERB
cana-2889	125	20	medium	medium	ADJ
cana-2889	125	21	-	-	PUNCT
cana-2889	125	22	term	term	NOUN
cana-2889	125	23	forecasting	forecasting	NOUN
cana-2889	125	24	problems	problem	NOUN
cana-2889	125	25	.	.	PUNCT
cana-2889	126	1	[	[	X
cana-2889	126	2	9	9	NUM
cana-2889	126	3	]	]	PUNCT
cana-2889	126	4	in	in	ADP
cana-2889	126	5	order	order	NOUN
cana-2889	126	6	to	to	PART
cana-2889	126	7	forecast	forecast	VERB
cana-2889	126	8	power	power	NOUN
cana-2889	126	9	load	load	NOUN
cana-2889	126	10	,	,	PUNCT
cana-2889	126	11	ahmed	ahmed	PROPN
cana-2889	126	12	et	et	PROPN
cana-2889	126	13	al	al	PROPN
cana-2889	126	14	.	.	PROPN
cana-2889	127	1	(	(	PUNCT
cana-2889	127	2	2021	2021	NUM
cana-2889	127	3	)	)	PUNCT
cana-2889	127	4	created	create	VERB
cana-2889	127	5	a	a	DET
cana-2889	127	6	hybrid	hybrid	ADJ
cana-2889	127	7	deep	deep	ADJ
cana-2889	127	8	learning	learning	NOUN
cana-2889	127	9	model	model	NOUN
cana-2889	127	10	that	that	PRON
cana-2889	127	11	combines	combine	VERB
cana-2889	127	12	cnn	cnn	PROPN
cana-2889	127	13	and	and	CCONJ
cana-2889	127	14	bidirectional	bidirectional	ADJ
cana-2889	127	15	lstm	lstm	NOUN
cana-2889	127	16	(	(	PUNCT
cana-2889	127	17	bilstm	bilstm	NOUN
cana-2889	127	18	)	)	PUNCT
cana-2889	127	19	networks	network	NOUN
cana-2889	127	20	.	.	PUNCT
cana-2889	128	1	their	their	PRON
cana-2889	128	2	study	study	NOUN
cana-2889	128	3	showed	show	VERB
cana-2889	128	4	that	that	SCONJ
cana-2889	128	5	forecasting	forecasting	NOUN
cana-2889	128	6	accuracy	accuracy	NOUN
cana-2889	128	7	was	be	AUX
cana-2889	128	8	greatly	greatly	ADV
cana-2889	128	9	increased	increase	VERB
cana-2889	128	10	by	by	ADP
cana-2889	128	11	combining	combine	VERB
cana-2889	128	12	cnn	cnn	PROPN
cana-2889	128	13	's	's	PART
cana-2889	128	14	feature	feature	NOUN
cana-2889	128	15	extraction	extraction	NOUN
cana-2889	128	16	capabilities	capability	NOUN
cana-2889	128	17	with	with	ADP
cana-2889	128	18	the	the	DET
cana-2889	128	19	forward	forward	ADJ
cana-2889	128	20	and	and	CCONJ
cana-2889	128	21	backward	backward	ADJ
cana-2889	128	22	information	information	NOUN
cana-2889	128	23	flow	flow	NOUN
cana-2889	128	24	in	in	ADP
cana-2889	128	25	bilstm	bilstm	NOUN
cana-2889	128	26	.	.	PUNCT
cana-2889	129	1	the	the	DET
cana-2889	129	2	study	study	NOUN
cana-2889	129	3	demonstrated	demonstrate	VERB
cana-2889	129	4	how	how	SCONJ
cana-2889	129	5	well	well	ADV
cana-2889	129	6	the	the	DET
cana-2889	129	7	model	model	NOUN
cana-2889	129	8	predicted	predict	VERB
cana-2889	129	9	load	load	NOUN
cana-2889	129	10	in	in	ADP
cana-2889	129	11	circumstances	circumstance	NOUN
cana-2889	129	12	with	with	ADP
cana-2889	129	13	fluctuating	fluctuate	VERB
cana-2889	129	14	demand	demand	NOUN
cana-2889	129	15	,	,	PUNCT
cana-2889	129	16	such	such	ADJ
cana-2889	129	17	as	as	ADP
cana-2889	129	18	weekdays	weekday	NOUN
cana-2889	129	19	versus	versus	ADP
cana-2889	129	20	weekends	weekend	NOUN
cana-2889	129	21	.	.	PUNCT
cana-2889	130	1	[	[	X
cana-2889	130	2	10	10	NUM
cana-2889	130	3	]	]	X
cana-2889	130	4	a	a	DET
cana-2889	130	5	comparison	comparison	NOUN
cana-2889	130	6	of	of	ADP
cana-2889	130	7	deep	deep	ADJ
cana-2889	130	8	learning	learning	NOUN
cana-2889	130	9	methods	method	NOUN
cana-2889	130	10	,	,	PUNCT
cana-2889	130	11	such	such	ADJ
cana-2889	130	12	as	as	ADP
cana-2889	130	13	cnns	cnns	ADJ
cana-2889	130	14	,	,	PUNCT
cana-2889	130	15	lstms	lstms	ADJ
cana-2889	130	16	,	,	PUNCT
cana-2889	130	17	and	and	CCONJ
cana-2889	130	18	hybrid	hybrid	ADJ
cana-2889	130	19	algorithms	algorithm	NOUN
cana-2889	130	20	,	,	PUNCT
cana-2889	130	21	for	for	ADP
cana-2889	130	22	power	power	NOUN
cana-2889	130	23	load	load	NOUN
cana-2889	130	24	forecasting	forecasting	NOUN
cana-2889	130	25	was	be	AUX
cana-2889	130	26	presented	present	VERB
cana-2889	130	27	by	by	ADP
cana-2889	130	28	singh	singh	PROPN
cana-2889	130	29	et	et	PROPN
cana-2889	130	30	al	al	PROPN
cana-2889	130	31	.	.	PROPN
cana-2889	131	1	(	(	PUNCT
cana-2889	131	2	2019	2019	NUM
cana-2889	131	3	)	)	PUNCT
cana-2889	131	4	.	.	PUNCT
cana-2889	132	1	in	in	ADP
cana-2889	132	2	both	both	DET
cana-2889	132	3	shortand	shortand	NOUN
cana-2889	132	4	medium	medium	ADJ
cana-2889	132	5	-	-	PUNCT
cana-2889	132	6	term	term	NOUN
cana-2889	132	7	forecasts	forecast	NOUN
cana-2889	132	8	,	,	PUNCT
cana-2889	132	9	their	their	PRON
cana-2889	132	10	results	result	NOUN
cana-2889	132	11	showed	show	VERB
cana-2889	132	12	that	that	SCONJ
cana-2889	132	13	hybrid	hybrid	NOUN
cana-2889	132	14	models	model	NOUN
cana-2889	132	15	perform	perform	VERB
cana-2889	132	16	better	well	ADJ
cana-2889	132	17	than	than	ADP
cana-2889	132	18	solo	solo	ADJ
cana-2889	132	19	models	model	NOUN
cana-2889	132	20	.	.	PUNCT
cana-2889	133	1	they	they	PRON
cana-2889	133	2	underlined	underline	VERB
cana-2889	133	3	that	that	SCONJ
cana-2889	133	4	in	in	ADP
cana-2889	133	5	order	order	NOUN
cana-2889	133	6	to	to	PART
cana-2889	133	7	effectively	effectively	ADV
cana-2889	133	8	train	train	VERB
cana-2889	133	9	complicated	complicated	ADJ
cana-2889	133	10	architectures	architecture	NOUN
cana-2889	133	11	,	,	PUNCT
cana-2889	133	12	large	large	ADJ
cana-2889	133	13	-	-	PUNCT
cana-2889	133	14	scale	scale	NOUN
cana-2889	133	15	datasets	dataset	NOUN
cana-2889	133	16	and	and	CCONJ
cana-2889	133	17	hyperparameter	hyperparameter	NOUN
cana-2889	133	18	optimisation	optimisation	NOUN
cana-2889	133	19	are	be	AUX
cana-2889	133	20	essential	essential	ADJ
cana-2889	133	21	.	.	PUNCT
cana-2889	134	1	[	[	X
cana-2889	134	2	11	11	NUM
cana-2889	134	3	]	]	PUNCT
cana-2889	134	4	a	a	DET
cana-2889	134	5	cnn	cnn	PROPN
cana-2889	134	6	-	-	PUNCT
cana-2889	134	7	based	base	VERB
cana-2889	134	8	model	model	NOUN
cana-2889	134	9	with	with	ADP
cana-2889	134	10	an	an	DET
cana-2889	134	11	attention	attention	NOUN
cana-2889	134	12	mechanism	mechanism	NOUN
cana-2889	134	13	was	be	AUX
cana-2889	134	14	presented	present	VERB
cana-2889	134	15	by	by	ADP
cana-2889	134	16	kumar	kumar	PROPN
cana-2889	134	17	et	et	PROPN
cana-2889	134	18	al	al	PROPN
cana-2889	134	19	.	.	PROPN
cana-2889	135	1	(	(	PUNCT
cana-2889	135	2	2022	2022	NUM
cana-2889	135	3	)	)	PUNCT
cana-2889	136	1	to	to	PART
cana-2889	136	2	predict	predict	VERB
cana-2889	136	3	electricity	electricity	NOUN
cana-2889	136	4	load	load	NOUN
cana-2889	136	5	in	in	ADP
cana-2889	136	6	the	the	DET
cana-2889	136	7	event	event	NOUN
cana-2889	136	8	of	of	ADP
cana-2889	136	9	severe	severe	ADJ
cana-2889	136	10	weather	weather	NOUN
cana-2889	137	1	.	.	PUNCT
cana-2889	138	1	the	the	DET
cana-2889	138	2	authors	author	NOUN
cana-2889	138	3	showed	show	VERB
cana-2889	138	4	how	how	SCONJ
cana-2889	138	5	the	the	DET
cana-2889	138	6	model	model	NOUN
cana-2889	138	7	improved	improve	VERB
cana-2889	138	8	accuracy	accuracy	NOUN
cana-2889	138	9	during	during	ADP
cana-2889	138	10	times	time	NOUN
cana-2889	138	11	of	of	ADP
cana-2889	138	12	heavy	heavy	ADJ
cana-2889	138	13	demand	demand	NOUN
cana-2889	138	14	by	by	ADP
cana-2889	138	15	dynamically	dynamically	ADV
cana-2889	138	16	prioritising	prioritise	VERB
cana-2889	138	17	input	input	NOUN
cana-2889	138	18	data	datum	NOUN
cana-2889	138	19	.	.	PUNCT
cana-2889	139	1	their	their	PRON
cana-2889	139	2	research	research	NOUN
cana-2889	139	3	demonstrated	demonstrate	VERB
cana-2889	139	4	how	how	SCONJ
cana-2889	139	5	crucial	crucial	ADJ
cana-2889	139	6	it	it	PRON
cana-2889	139	7	is	be	AUX
cana-2889	139	8	to	to	PART
cana-2889	139	9	include	include	VERB
cana-2889	139	10	outside	outside	ADJ
cana-2889	139	11	factors	factor	NOUN
cana-2889	139	12	like	like	ADP
cana-2889	139	13	humidity	humidity	NOUN
cana-2889	139	14	and	and	CCONJ
cana-2889	139	15	temperature	temperature	NOUN
cana-2889	139	16	in	in	ADP
cana-2889	139	17	predicting	predict	VERB
cana-2889	139	18	.	.	PUNCT
cana-2889	140	1	[	[	X
cana-2889	140	2	12	12	NUM
cana-2889	140	3	]	]	PUNCT
cana-2889	140	4	the	the	DET
cana-2889	140	5	incorporation	incorporation	NOUN
cana-2889	140	6	of	of	ADP
cana-2889	140	7	estimates	estimate	NOUN
cana-2889	140	8	for	for	ADP
cana-2889	140	9	renewable	renewable	ADJ
cana-2889	140	10	energy	energy	NOUN
cana-2889	140	11	into	into	ADP
cana-2889	140	12	models	model	NOUN
cana-2889	140	13	for	for	ADP
cana-2889	140	14	predicting	predict	VERB
cana-2889	140	15	electricity	electricity	NOUN
cana-2889	140	16	usage	usage	NOUN
cana-2889	140	17	was	be	AUX
cana-2889	140	18	the	the	DET
cana-2889	140	19	main	main	ADJ
cana-2889	140	20	emphasis	emphasis	NOUN
cana-2889	140	21	of	of	ADP
cana-2889	140	22	gupta	gupta	PROPN
cana-2889	140	23	et	et	PROPN
cana-2889	140	24	al	al	PROPN
cana-2889	140	25	.	.	PROPN
cana-2889	141	1	(	(	PUNCT
cana-2889	141	2	2020	2020	NUM
cana-2889	141	3	)	)	PUNCT
cana-2889	141	4	.	.	PUNCT
cana-2889	142	1	they	they	PRON
cana-2889	142	2	put	put	VERB
cana-2889	142	3	up	up	ADP
cana-2889	142	4	a	a	DET
cana-2889	142	5	cnn	cnn	PROPN
cana-2889	142	6	-	-	PUNCT
cana-2889	142	7	am	be	AUX
cana-2889	142	8	hybrid	hybrid	ADJ
cana-2889	142	9	model	model	NOUN
cana-2889	142	10	that	that	PRON
cana-2889	142	11	took	take	VERB
cana-2889	142	12	into	into	ADP
cana-2889	142	13	consideration	consideration	NOUN
cana-2889	142	14	the	the	DET
cana-2889	142	15	variability	variability	NOUN
cana-2889	142	16	brought	bring	VERB
cana-2889	142	17	forth	forth	ADP
cana-2889	142	18	by	by	ADP
cana-2889	142	19	renewable	renewable	ADJ
cana-2889	142	20	energy	energy	NOUN
cana-2889	142	21	sources	source	NOUN
cana-2889	142	22	.	.	PUNCT
cana-2889	143	1	according	accord	VERB
cana-2889	143	2	to	to	ADP
cana-2889	143	3	their	their	PRON
cana-2889	143	4	findings	finding	NOUN
cana-2889	143	5	,	,	PUNCT
cana-2889	143	6	forecasting	forecasting	NOUN
cana-2889	143	7	accuracy	accuracy	NOUN
cana-2889	143	8	significantly	significantly	ADV
cana-2889	143	9	increased	increase	VERB
cana-2889	143	10	,	,	PUNCT
cana-2889	143	11	especially	especially	ADV
cana-2889	143	12	in	in	ADP
cana-2889	143	13	areas	area	NOUN
cana-2889	143	14	with	with	ADP
cana-2889	143	15	a	a	DET
cana-2889	143	16	high	high	ADJ
cana-2889	143	17	penetration	penetration	NOUN
cana-2889	143	18	of	of	ADP
cana-2889	143	19	renewable	renewable	ADJ
cana-2889	143	20	energy	energy	NOUN
cana-2889	143	21	.	.	PUNCT
cana-2889	144	1	[	[	X
cana-2889	144	2	13	13	NUM
cana-2889	144	3	]	]	X
cana-2889	144	4	zhang	zhang	PROPN
cana-2889	144	5	et	et	PROPN
cana-2889	144	6	al	al	PROPN
cana-2889	144	7	.	.	PROPN
cana-2889	145	1	(	(	PUNCT
cana-2889	145	2	2021	2021	NUM
cana-2889	145	3	)	)	PUNCT
cana-2889	145	4	created	create	VERB
cana-2889	145	5	a	a	DET
cana-2889	145	6	hybrid	hybrid	ADJ
cana-2889	145	7	model	model	NOUN
cana-2889	145	8	for	for	ADP
cana-2889	145	9	predicting	predict	VERB
cana-2889	145	10	power	power	NOUN
cana-2889	145	11	prices	price	NOUN
cana-2889	145	12	that	that	PRON
cana-2889	145	13	combines	combine	VERB
cana-2889	145	14	cnn	cnn	PROPN
cana-2889	145	15	and	and	CCONJ
cana-2889	145	16	gated	gate	VERB
cana-2889	145	17	recurrent	recurrent	ADJ
cana-2889	145	18	units	unit	NOUN
cana-2889	145	19	(	(	PUNCT
cana-2889	145	20	gru	gru	NOUN
cana-2889	145	21	)	)	PUNCT
cana-2889	145	22	.	.	PUNCT
cana-2889	146	1	the	the	DET
cana-2889	146	2	study	study	NOUN
cana-2889	146	3	demonstrated	demonstrate	VERB
cana-2889	146	4	how	how	SCONJ
cana-2889	146	5	gru	gru	PROPN
cana-2889	146	6	and	and	CCONJ
cana-2889	146	7	cnn	cnn	PROPN
cana-2889	146	8	work	work	VERB
cana-2889	146	9	well	well	ADV
cana-2889	146	10	together	together	ADV
cana-2889	146	11	to	to	PART
cana-2889	146	12	model	model	VERB
cana-2889	146	13	sequential	sequential	ADJ
cana-2889	146	14	data	datum	NOUN
cana-2889	146	15	and	and	CCONJ
cana-2889	146	16	extract	extract	VERB
cana-2889	146	17	features	feature	NOUN
cana-2889	146	18	,	,	PUNCT
cana-2889	146	19	respectively	respectively	ADV
cana-2889	146	20	.	.	PUNCT
cana-2889	147	1	in	in	ADP
cana-2889	147	2	comparison	comparison	NOUN
cana-2889	147	3	to	to	ADP
cana-2889	147	4	solo	solo	NOUN
cana-2889	147	5	models	model	NOUN
cana-2889	147	6	,	,	PUNCT
cana-2889	147	7	the	the	DET
cana-2889	147	8	authors	author	NOUN
cana-2889	147	9	reported	report	VERB
cana-2889	147	10	significant	significant	ADJ
cana-2889	147	11	gains	gain	NOUN
cana-2889	147	12	in	in	ADP
cana-2889	147	13	medium	medium	ADJ
cana-2889	147	14	-	-	PUNCT
cana-2889	147	15	term	term	NOUN
cana-2889	147	16	price	price	NOUN
cana-2889	147	17	forecast	forecast	NOUN
cana-2889	147	18	accuracy	accuracy	NOUN
cana-2889	147	19	.	.	PUNCT
cana-2889	148	1	[	[	X
cana-2889	148	2	14	14	NUM
cana-2889	148	3	]	]	X
cana-2889	148	4	cnn	cnn	PROPN
cana-2889	148	5	and	and	CCONJ
cana-2889	148	6	reinforcement	reinforcement	NOUN
cana-2889	148	7	learning	learning	NOUN
cana-2889	148	8	were	be	AUX
cana-2889	148	9	used	use	VERB
cana-2889	148	10	in	in	ADP
cana-2889	148	11	a	a	DET
cana-2889	148	12	novel	novel	ADJ
cana-2889	148	13	framework	framework	NOUN
cana-2889	148	14	for	for	ADP
cana-2889	148	15	electrical	electrical	ADJ
cana-2889	148	16	load	load	NOUN
cana-2889	148	17	forecasting	forecasting	NOUN
cana-2889	148	18	by	by	ADP
cana-2889	148	19	ali	ali	PROPN
cana-2889	148	20	et	et	PROPN
cana-2889	148	21	al	al	PROPN
cana-2889	148	22	.	.	PROPN
cana-2889	149	1	(	(	PUNCT
cana-2889	149	2	2020	2020	NUM
cana-2889	149	3	)	)	PUNCT
cana-2889	149	4	.	.	PUNCT
cana-2889	150	1	their	their	PRON
cana-2889	150	2	model	model	NOUN
cana-2889	150	3	improved	improve	VERB
cana-2889	150	4	shortand	shortand	NOUN
cana-2889	150	5	medium	medium	ADJ
cana-2889	150	6	-	-	PUNCT
cana-2889	150	7	term	term	NOUN
cana-2889	150	8	forecasts	forecast	NOUN
cana-2889	150	9	by	by	ADP
cana-2889	150	10	dynamically	dynamically	ADV
cana-2889	150	11	optimising	optimise	VERB
cana-2889	150	12	cnn	cnn	PROPN
cana-2889	150	13	parameters	parameter	NOUN
cana-2889	150	14	through	through	ADP
cana-2889	150	15	the	the	DET
cana-2889	150	16	use	use	NOUN
cana-2889	150	17	of	of	ADP
cana-2889	150	18	reinforcement	reinforcement	NOUN
cana-2889	150	19	learning	learning	NOUN
cana-2889	150	20	.	.	PUNCT
cana-2889	151	1	the	the	DET
cana-2889	151	2	authors	author	NOUN
cana-2889	151	3	highlighted	highlight	VERB
cana-2889	151	4	how	how	SCONJ
cana-2889	151	5	adaptive	adaptive	ADJ
cana-2889	151	6	learning	learning	NOUN
cana-2889	151	7	strategies	strategy	NOUN
cana-2889	151	8	can	can	AUX
cana-2889	151	9	improve	improve	VERB
cana-2889	151	10	model	model	NOUN
cana-2889	151	11	performance	performance	NOUN
cana-2889	151	12	in	in	ADP
cana-2889	151	13	dynamic	dynamic	ADJ
cana-2889	151	14	market	market	NOUN
cana-2889	151	15	environments	environment	NOUN
cana-2889	151	16	.	.	PUNCT
cana-2889	152	1	[	[	X
cana-2889	152	2	15	15	NUM
cana-2889	152	3	]	]	X
cana-2889	152	4	a	a	DET
cana-2889	152	5	cnn	cnn	NOUN
cana-2889	152	6	and	and	CCONJ
cana-2889	152	7	random	random	ADJ
cana-2889	152	8	forest	forest	NOUN
cana-2889	152	9	(	(	PUNCT
cana-2889	152	10	rf	rf	NOUN
cana-2889	152	11	)	)	PUNCT
cana-2889	152	12	hybrid	hybrid	ADJ
cana-2889	152	13	model	model	NOUN
cana-2889	152	14	was	be	AUX
cana-2889	152	15	presented	present	VERB
cana-2889	152	16	by	by	ADP
cana-2889	152	17	huang	huang	PROPN
cana-2889	152	18	et	et	PROPN
cana-2889	152	19	al	al	PROPN
cana-2889	152	20	.	.	PROPN
cana-2889	153	1	(	(	PUNCT
cana-2889	153	2	2021	2021	NUM
cana-2889	153	3	)	)	PUNCT
cana-2889	153	4	for	for	ADP
cana-2889	153	5	the	the	DET
cana-2889	153	6	purpose	purpose	NOUN
cana-2889	153	7	of	of	ADP
cana-2889	153	8	forecasting	forecast	VERB
cana-2889	153	9	power	power	NOUN
cana-2889	153	10	prices	price	NOUN
cana-2889	153	11	.	.	PUNCT
cana-2889	154	1	their	their	PRON
cana-2889	154	2	study	study	NOUN
cana-2889	154	3	showed	show	VERB
cana-2889	154	4	that	that	SCONJ
cana-2889	154	5	rf	rf	NOUN
cana-2889	154	6	's	's	PART
cana-2889	154	7	resilience	resilience	NOUN
cana-2889	154	8	against	against	ADP
cana-2889	154	9	overfitting	overfitting	NOUN
cana-2889	154	10	and	and	CCONJ
cana-2889	154	11	cnn	cnn	PROPN
cana-2889	154	12	's	's	PART
cana-2889	154	13	pattern	pattern	NOUN
cana-2889	154	14	recognition	recognition	NOUN
cana-2889	154	15	skills	skill	NOUN
cana-2889	154	16	combined	combine	VERB
cana-2889	154	17	to	to	PART
cana-2889	154	18	produce	produce	VERB
cana-2889	154	19	higher	high	ADJ
cana-2889	154	20	accuracy	accuracy	NOUN
cana-2889	154	21	across	across	ADP
cana-2889	154	22	a	a	DET
cana-2889	154	23	range	range	NOUN
cana-2889	154	24	of	of	ADP
cana-2889	154	25	datasets	dataset	NOUN
cana-2889	154	26	.	.	PUNCT
cana-2889	155	1	because	because	SCONJ
cana-2889	155	2	of	of	ADP
cana-2889	155	3	its	its	PRON
cana-2889	155	4	stability	stability	NOUN
cana-2889	155	5	,	,	PUNCT
cana-2889	155	6	the	the	DET
cana-2889	155	7	hybrid	hybrid	NOUN
cana-2889	155	8	model	model	NOUN
cana-2889	155	9	was	be	AUX
cana-2889	155	10	suggested	suggest	VERB
cana-2889	155	11	by	by	ADP
cana-2889	155	12	the	the	DET
cana-2889	155	13	authors	author	NOUN
cana-2889	155	14	for	for	ADP
cana-2889	155	15	medium	medium	ADJ
cana-2889	155	16	-	-	PUNCT
cana-2889	155	17	term	term	NOUN
cana-2889	155	18	projections	projection	NOUN
cana-2889	155	19	.	.	PUNCT
cana-2889	156	1	[	[	X
cana-2889	156	2	16	16	NUM
cana-2889	156	3	]	]	PUNCT
cana-2889	156	4	the	the	DET
cana-2889	156	5	application	application	NOUN
cana-2889	156	6	of	of	ADP
cana-2889	156	7	ensemble	ensemble	ADJ
cana-2889	156	8	techniques	technique	NOUN
cana-2889	156	9	to	to	PART
cana-2889	156	10	improve	improve	VERB
cana-2889	156	11	cnn	cnn	PROPN
cana-2889	156	12	-	-	PUNCT
cana-2889	156	13	based	base	VERB
cana-2889	156	14	electrical	electrical	ADJ
cana-2889	156	15	load	load	NOUN
cana-2889	156	16	forecasting	forecasting	NOUN
cana-2889	156	17	models	model	NOUN
cana-2889	156	18	was	be	AUX
cana-2889	156	19	investigated	investigate	VERB
cana-2889	156	20	by	by	ADP
cana-2889	156	21	rahman	rahman	PROPN
cana-2889	156	22	et	et	PROPN
cana-2889	156	23	al	al	PROPN
cana-2889	156	24	.	.	PROPN
cana-2889	157	1	(	(	PUNCT
cana-2889	157	2	2019	2019	NUM
cana-2889	157	3	)	)	PUNCT
cana-2889	157	4	.	.	PUNCT
cana-2889	158	1	they	they	PRON
cana-2889	158	2	showed	show	VERB
cana-2889	158	3	that	that	SCONJ
cana-2889	158	4	using	use	VERB
cana-2889	158	5	an	an	DET
cana-2889	158	6	ensemble	ensemble	ADJ
cana-2889	158	7	technique	technique	NOUN
cana-2889	158	8	to	to	PART
cana-2889	158	9	combine	combine	VERB
cana-2889	158	10	communications	communication	NOUN
cana-2889	158	11	on	on	ADP
cana-2889	158	12	applied	apply	VERB
cana-2889	158	13	nonlinear	nonlinear	ADJ
cana-2889	158	14	analysis	analysis	NOUN
cana-2889	158	15	issn	issn	NOUN
cana-2889	158	16	:	:	PUNCT
cana-2889	158	17	1074	1074	NUM
cana-2889	158	18	-	-	PUNCT
cana-2889	158	19	133x	133x	NUM
cana-2889	158	20	vol	vol	NOUN
cana-2889	158	21	32	32	NUM
cana-2889	158	22	no	no	NOUN
cana-2889	158	23	.	.	PUNCT
cana-2889	159	1	4s	4s	NUM
cana-2889	159	2	(	(	PUNCT
cana-2889	159	3	2025	2025	NUM
cana-2889	159	4	)	)	PUNCT
cana-2889	159	5	629	629	NUM
cana-2889	160	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	160	2	various	various	ADJ
cana-2889	160	3	cnn	cnn	PROPN
cana-2889	160	4	designs	design	NOUN
cana-2889	160	5	decreased	decrease	VERB
cana-2889	160	6	prediction	prediction	NOUN
cana-2889	160	7	errors	error	NOUN
cana-2889	160	8	,	,	PUNCT
cana-2889	160	9	especially	especially	ADV
cana-2889	160	10	in	in	ADP
cana-2889	160	11	medium	medium	ADJ
cana-2889	160	12	-	-	PUNCT
cana-2889	160	13	term	term	NOUN
cana-2889	160	14	projections	projection	NOUN
cana-2889	160	15	.	.	PUNCT
cana-2889	161	1	the	the	DET
cana-2889	161	2	study	study	NOUN
cana-2889	161	3	emphasised	emphasise	VERB
cana-2889	161	4	how	how	SCONJ
cana-2889	161	5	crucial	crucial	ADJ
cana-2889	161	6	model	model	NOUN
cana-2889	161	7	variety	variety	NOUN
cana-2889	161	8	is	be	AUX
cana-2889	161	9	to	to	ADP
cana-2889	161	10	producing	produce	VERB
cana-2889	161	11	reliable	reliable	ADJ
cana-2889	161	12	forecasts	forecast	NOUN
cana-2889	161	13	.	.	PUNCT
cana-2889	162	1	[	[	X
cana-2889	162	2	17	17	NUM
cana-2889	162	3	]	]	PUNCT
cana-2889	162	4	the	the	DET
cana-2889	162	5	application	application	NOUN
cana-2889	162	6	of	of	ADP
cana-2889	162	7	ensemble	ensemble	ADJ
cana-2889	162	8	techniques	technique	NOUN
cana-2889	162	9	to	to	PART
cana-2889	162	10	improve	improve	VERB
cana-2889	162	11	cnn	cnn	PROPN
cana-2889	162	12	-	-	PUNCT
cana-2889	162	13	based	base	VERB
cana-2889	162	14	electrical	electrical	ADJ
cana-2889	162	15	load	load	NOUN
cana-2889	162	16	forecasting	forecasting	NOUN
cana-2889	162	17	models	model	NOUN
cana-2889	162	18	was	be	AUX
cana-2889	162	19	investigated	investigate	VERB
cana-2889	162	20	by	by	ADP
cana-2889	162	21	rahman	rahman	PROPN
cana-2889	162	22	et	et	PROPN
cana-2889	162	23	al	al	PROPN
cana-2889	162	24	.	.	PROPN
cana-2889	163	1	(	(	PUNCT
cana-2889	163	2	2019	2019	NUM
cana-2889	163	3	)	)	PUNCT
cana-2889	163	4	.	.	PUNCT
cana-2889	164	1	they	they	PRON
cana-2889	164	2	showed	show	VERB
cana-2889	164	3	that	that	SCONJ
cana-2889	164	4	using	use	VERB
cana-2889	164	5	an	an	DET
cana-2889	164	6	ensemble	ensemble	ADJ
cana-2889	164	7	technique	technique	NOUN
cana-2889	164	8	to	to	PART
cana-2889	164	9	combine	combine	VERB
cana-2889	164	10	various	various	ADJ
cana-2889	164	11	cnn	cnn	PROPN
cana-2889	164	12	designs	design	NOUN
cana-2889	164	13	decreased	decrease	VERB
cana-2889	164	14	prediction	prediction	NOUN
cana-2889	164	15	errors	error	NOUN
cana-2889	164	16	,	,	PUNCT
cana-2889	164	17	especially	especially	ADV
cana-2889	164	18	in	in	ADP
cana-2889	164	19	medium	medium	ADJ
cana-2889	164	20	-	-	PUNCT
cana-2889	164	21	term	term	NOUN
cana-2889	164	22	projections	projection	NOUN
cana-2889	164	23	.	.	PUNCT
cana-2889	165	1	the	the	DET
cana-2889	165	2	study	study	NOUN
cana-2889	165	3	emphasised	emphasise	VERB
cana-2889	165	4	how	how	SCONJ
cana-2889	165	5	crucial	crucial	ADJ
cana-2889	165	6	model	model	NOUN
cana-2889	165	7	variety	variety	NOUN
cana-2889	165	8	is	be	AUX
cana-2889	165	9	to	to	ADP
cana-2889	165	10	producing	produce	VERB
cana-2889	165	11	reliable	reliable	ADJ
cana-2889	165	12	forecasts	forecast	NOUN
cana-2889	165	13	.	.	PUNCT
cana-2889	166	1	[	[	X
cana-2889	166	2	18	18	NUM
cana-2889	166	3	]	]	PUNCT
cana-2889	166	4	for	for	ADP
cana-2889	166	5	energy	energy	NOUN
cana-2889	166	6	demand	demand	NOUN
cana-2889	166	7	forecasting	forecasting	NOUN
cana-2889	166	8	,	,	PUNCT
cana-2889	166	9	yadav	yadav	PROPN
cana-2889	166	10	et	et	PROPN
cana-2889	166	11	al	al	PROPN
cana-2889	166	12	.	.	PROPN
cana-2889	167	1	(	(	PUNCT
cana-2889	167	2	2020	2020	NUM
cana-2889	167	3	)	)	PUNCT
cana-2889	167	4	suggested	suggest	VERB
cana-2889	167	5	a	a	DET
cana-2889	167	6	hierarchical	hierarchical	ADJ
cana-2889	167	7	cnn	cnn	NOUN
cana-2889	167	8	model	model	NOUN
cana-2889	167	9	with	with	ADP
cana-2889	167	10	several	several	ADJ
cana-2889	167	11	layers	layer	NOUN
cana-2889	167	12	intended	intend	VERB
cana-2889	167	13	to	to	PART
cana-2889	167	14	capture	capture	VERB
cana-2889	167	15	patterns	pattern	NOUN
cana-2889	167	16	at	at	ADP
cana-2889	167	17	various	various	ADJ
cana-2889	167	18	granularities	granularity	NOUN
cana-2889	167	19	.	.	PUNCT
cana-2889	168	1	their	their	PRON
cana-2889	168	2	study	study	NOUN
cana-2889	168	3	showed	show	VERB
cana-2889	168	4	that	that	SCONJ
cana-2889	168	5	hierarchical	hierarchical	ADJ
cana-2889	168	6	models	model	NOUN
cana-2889	168	7	,	,	PUNCT
cana-2889	168	8	which	which	PRON
cana-2889	168	9	provide	provide	VERB
cana-2889	168	10	superior	superior	ADJ
cana-2889	168	11	scalability	scalability	NOUN
cana-2889	168	12	and	and	CCONJ
cana-2889	168	13	interpretability	interpretability	NOUN
cana-2889	168	14	,	,	PUNCT
cana-2889	168	15	perform	perform	VERB
cana-2889	168	16	better	well	ADV
cana-2889	168	17	in	in	ADP
cana-2889	168	18	medium	medium	ADJ
cana-2889	168	19	-	-	PUNCT
cana-2889	168	20	term	term	NOUN
cana-2889	168	21	projections	projection	NOUN
cana-2889	168	22	than	than	ADP
cana-2889	168	23	conventional	conventional	ADJ
cana-2889	168	24	cnns	cnn	NOUN
cana-2889	168	25	.	.	PUNCT
cana-2889	169	1	convolutional	convolutional	ADJ
cana-2889	169	2	neural	neural	ADJ
cana-2889	169	3	networks	network	NOUN
cana-2889	169	4	(	(	PUNCT
cana-2889	169	5	cnns	cnns	PROPN
cana-2889	169	6	)	)	PUNCT
cana-2889	169	7	,	,	PUNCT
cana-2889	169	8	one	one	NUM
cana-2889	169	9	type	type	NOUN
cana-2889	169	10	of	of	ADP
cana-2889	169	11	deep	deep	ADJ
cana-2889	169	12	learning	learning	NOUN
cana-2889	169	13	technique	technique	NOUN
cana-2889	169	14	,	,	PUNCT
cana-2889	169	15	have	have	AUX
cana-2889	169	16	demonstrated	demonstrate	VERB
cana-2889	169	17	great	great	ADJ
cana-2889	169	18	promise	promise	NOUN
cana-2889	169	19	in	in	ADP
cana-2889	169	20	forecasting	forecast	VERB
cana-2889	169	21	power	power	NOUN
cana-2889	169	22	prices	price	NOUN
cana-2889	169	23	and	and	CCONJ
cana-2889	169	24	loads	load	NOUN
cana-2889	169	25	.	.	PUNCT
cana-2889	170	1	according	accord	VERB
cana-2889	170	2	to	to	ADP
cana-2889	170	3	studies	study	NOUN
cana-2889	170	4	like	like	ADP
cana-2889	170	5	smith	smith	PROPN
cana-2889	170	6	et	et	PROPN
cana-2889	170	7	al	al	PROPN
cana-2889	170	8	.	.	PROPN
cana-2889	171	1	(	(	PUNCT
cana-2889	171	2	2018	2018	NUM
cana-2889	171	3	)	)	PUNCT
cana-2889	172	1	,	,	PUNCT
cana-2889	172	2	cnns	cnn	NOUN
cana-2889	172	3	outperform	outperform	ADJ
cana-2889	172	4	conventional	conventional	ADJ
cana-2889	172	5	statistical	statistical	ADJ
cana-2889	172	6	models	model	NOUN
cana-2889	172	7	in	in	ADP
cana-2889	172	8	short	short	ADJ
cana-2889	172	9	-	-	PUNCT
cana-2889	172	10	term	term	NOUN
cana-2889	172	11	forecasting	forecasting	NOUN
cana-2889	172	12	by	by	ADP
cana-2889	172	13	capturing	capture	VERB
cana-2889	172	14	intricate	intricate	ADJ
cana-2889	172	15	patterns	pattern	NOUN
cana-2889	172	16	in	in	ADP
cana-2889	172	17	historical	historical	ADJ
cana-2889	172	18	load	load	NOUN
cana-2889	172	19	data	datum	NOUN
cana-2889	172	20	.	.	PUNCT
cana-2889	173	1	by	by	ADP
cana-2889	173	2	merging	merge	VERB
cana-2889	173	3	cnns	cnn	NOUN
cana-2889	173	4	with	with	ADP
cana-2889	173	5	architectures	architecture	NOUN
cana-2889	173	6	like	like	ADP
cana-2889	173	7	lstms	lstms	NOUN
cana-2889	173	8	(	(	PUNCT
cana-2889	173	9	johnson	johnson	PROPN
cana-2889	173	10	et	et	PROPN
cana-2889	173	11	al	al	PROPN
cana-2889	173	12	.	.	PROPN
cana-2889	173	13	,	,	PUNCT
cana-2889	173	14	2019	2019	NUM
cana-2889	173	15	)	)	PUNCT
cana-2889	173	16	or	or	CCONJ
cana-2889	173	17	grus	grus	NOUN
cana-2889	173	18	(	(	PUNCT
cana-2889	173	19	zhang	zhang	PROPN
cana-2889	173	20	et	et	PROPN
cana-2889	173	21	al	al	PROPN
cana-2889	173	22	.	.	PROPN
cana-2889	173	23	,	,	PUNCT
cana-2889	173	24	2021	2021	NUM
cana-2889	173	25	)	)	PUNCT
cana-2889	173	26	,	,	PUNCT
cana-2889	173	27	hybrid	hybrid	NOUN
cana-2889	173	28	models	model	NOUN
cana-2889	173	29	improve	improve	VERB
cana-2889	173	30	accuracy	accuracy	NOUN
cana-2889	173	31	in	in	ADP
cana-2889	173	32	medium	medium	ADJ
cana-2889	173	33	-	-	PUNCT
cana-2889	173	34	term	term	NOUN
cana-2889	173	35	trends	trend	NOUN
cana-2889	173	36	and	and	CCONJ
cana-2889	173	37	price	price	NOUN
cana-2889	173	38	volatility	volatility	NOUN
cana-2889	173	39	by	by	ADP
cana-2889	173	40	utilising	utilise	VERB
cana-2889	173	41	the	the	DET
cana-2889	173	42	spatial	spatial	ADJ
cana-2889	173	43	feature	feature	NOUN
cana-2889	173	44	extraction	extraction	NOUN
cana-2889	173	45	capabilities	capability	NOUN
cana-2889	173	46	of	of	ADP
cana-2889	173	47	cnns	cnn	NOUN
cana-2889	173	48	and	and	CCONJ
cana-2889	173	49	the	the	DET
cana-2889	173	50	sequential	sequential	ADJ
cana-2889	173	51	data	datum	NOUN
cana-2889	173	52	modelling	model	VERB
cana-2889	173	53	capabilities	capability	NOUN
cana-2889	173	54	of	of	ADP
cana-2889	173	55	lstms	lstms	NOUN
cana-2889	173	56	.	.	PUNCT
cana-2889	174	1	by	by	ADP
cana-2889	174	2	giving	give	VERB
cana-2889	174	3	priority	priority	NOUN
cana-2889	174	4	to	to	ADP
cana-2889	174	5	important	important	ADJ
cana-2889	174	6	input	input	NOUN
cana-2889	174	7	data	datum	NOUN
cana-2889	174	8	points	point	NOUN
cana-2889	174	9	,	,	PUNCT
cana-2889	174	10	attention	attention	NOUN
cana-2889	174	11	mechanisms	mechanism	NOUN
cana-2889	174	12	enhance	enhance	VERB
cana-2889	174	13	prediction	prediction	NOUN
cana-2889	174	14	accuracy	accuracy	NOUN
cana-2889	174	15	and	and	CCONJ
cana-2889	174	16	interpretability	interpretability	NOUN
cana-2889	174	17	(	(	PUNCT
cana-2889	174	18	wang	wang	PROPN
cana-2889	174	19	et	et	PROPN
cana-2889	174	20	al	al	PROPN
cana-2889	174	21	.	.	PROPN
cana-2889	174	22	,	,	PUNCT
cana-2889	174	23	2020	2020	NUM
cana-2889	174	24	;	;	PUNCT
cana-2889	174	25	kumar	kumar	PROPN
cana-2889	174	26	et	et	PROPN
cana-2889	174	27	al	al	PROPN
cana-2889	174	28	.	.	PROPN
cana-2889	174	29	,	,	PUNCT
cana-2889	174	30	2022	2022	NUM
cana-2889	174	31	)	)	PUNCT
cana-2889	174	32	.	.	PUNCT
cana-2889	175	1	in	in	ADP
cana-2889	175	2	order	order	NOUN
cana-2889	175	3	to	to	PART
cana-2889	175	4	maximise	maximise	VERB
cana-2889	175	5	scalability	scalability	NOUN
cana-2889	175	6	and	and	CCONJ
cana-2889	175	7	adaptation	adaptation	NOUN
cana-2889	175	8	to	to	ADP
cana-2889	175	9	granular	granular	ADJ
cana-2889	175	10	data	datum	NOUN
cana-2889	175	11	,	,	PUNCT
cana-2889	175	12	multi	multi	ADJ
cana-2889	175	13	-	-	ADJ
cana-2889	175	14	scale	scale	ADJ
cana-2889	175	15	and	and	CCONJ
cana-2889	175	16	hierarchical	hierarchical	ADJ
cana-2889	175	17	cnn	cnn	PROPN
cana-2889	175	18	systems	system	NOUN
cana-2889	175	19	(	(	PUNCT
cana-2889	175	20	lee	lee	PROPN
cana-2889	175	21	et	et	PROPN
cana-2889	175	22	al	al	PROPN
cana-2889	175	23	.	.	PROPN
cana-2889	175	24	,	,	PUNCT
cana-2889	175	25	2022	2022	NUM
cana-2889	175	26	;	;	PUNCT
cana-2889	175	27	yadav	yadav	PROPN
cana-2889	175	28	et	et	PROPN
cana-2889	175	29	al	al	PROPN
cana-2889	175	30	.	.	PROPN
cana-2889	175	31	,	,	PUNCT
cana-2889	175	32	2020	2020	NUM
cana-2889	175	33	)	)	PUNCT
cana-2889	175	34	handle	handle	VERB
cana-2889	175	35	data	datum	NOUN
cana-2889	175	36	at	at	ADP
cana-2889	175	37	different	different	ADJ
cana-2889	175	38	resolutions	resolution	NOUN
cana-2889	175	39	.	.	PUNCT
cana-2889	176	1	by	by	ADP
cana-2889	176	2	decreasing	decrease	VERB
cana-2889	176	3	overfitting	overfitte	VERB
cana-2889	176	4	and	and	CCONJ
cana-2889	176	5	enhancing	enhance	VERB
cana-2889	176	6	generalisation	generalisation	NOUN
cana-2889	176	7	,	,	PUNCT
cana-2889	176	8	hybrid	hybrid	ADJ
cana-2889	176	9	and	and	CCONJ
cana-2889	176	10	ensemble	ensemble	ADJ
cana-2889	176	11	methods	method	NOUN
cana-2889	176	12	improve	improve	VERB
cana-2889	176	13	predicting	predict	VERB
cana-2889	176	14	even	even	ADV
cana-2889	176	15	more	more	ADJ
cana-2889	176	16	.	.	PUNCT
cana-2889	177	1	in	in	ADP
cana-2889	177	2	order	order	NOUN
cana-2889	177	3	to	to	PART
cana-2889	177	4	increase	increase	VERB
cana-2889	177	5	prediction	prediction	NOUN
cana-2889	177	6	robustness	robustness	NOUN
cana-2889	177	7	,	,	PUNCT
cana-2889	177	8	rahman	rahman	PROPN
cana-2889	177	9	et	et	PROPN
cana-2889	177	10	al	al	PROPN
cana-2889	177	11	.	.	PROPN
cana-2889	177	12	(	(	PUNCT
cana-2889	177	13	2019	2019	NUM
cana-2889	177	14	)	)	PUNCT
cana-2889	177	15	and	and	CCONJ
cana-2889	177	16	huang	huang	PROPN
cana-2889	177	17	et	et	PROPN
cana-2889	177	18	al	al	PROPN
cana-2889	177	19	.	.	PROPN
cana-2889	178	1	(	(	PUNCT
cana-2889	178	2	2021	2021	NUM
cana-2889	178	3	)	)	PUNCT
cana-2889	178	4	focused	focus	VERB
cana-2889	178	5	on	on	ADP
cana-2889	178	6	ensemble	ensemble	ADJ
cana-2889	178	7	approaches	approach	NOUN
cana-2889	178	8	and	and	CCONJ
cana-2889	178	9	random	random	ADJ
cana-2889	178	10	forest	forest	NOUN
cana-2889	178	11	integrations	integration	NOUN
cana-2889	178	12	.	.	PUNCT
cana-2889	179	1	innovative	innovative	ADJ
cana-2889	179	2	frameworks	framework	NOUN
cana-2889	179	3	that	that	PRON
cana-2889	179	4	take	take	VERB
cana-2889	179	5	into	into	ADP
cana-2889	179	6	account	account	NOUN
cana-2889	179	7	renewable	renewable	ADJ
cana-2889	179	8	energy	energy	NOUN
cana-2889	179	9	considerations	consideration	NOUN
cana-2889	179	10	(	(	PUNCT
cana-2889	179	11	gupta	gupta	NOUN
cana-2889	179	12	et	et	PROPN
cana-2889	179	13	al	al	PROPN
cana-2889	179	14	.	.	PROPN
cana-2889	179	15	,	,	PUNCT
cana-2889	179	16	2020	2020	NUM
cana-2889	179	17	)	)	PUNCT
cana-2889	179	18	and	and	CCONJ
cana-2889	179	19	reinforcement	reinforcement	NOUN
cana-2889	179	20	learning	learning	NOUN
cana-2889	179	21	(	(	PUNCT
cana-2889	179	22	ali	ali	PROPN
cana-2889	179	23	et	et	PROPN
cana-2889	179	24	al	al	PROPN
cana-2889	179	25	.	.	PROPN
cana-2889	179	26	,	,	PUNCT
cana-2889	179	27	2020	2020	NUM
cana-2889	179	28	)	)	PUNCT
cana-2889	179	29	show	show	VERB
cana-2889	179	30	flexibility	flexibility	NOUN
cana-2889	179	31	in	in	ADP
cana-2889	179	32	response	response	NOUN
cana-2889	179	33	to	to	ADP
cana-2889	179	34	changing	change	VERB
cana-2889	179	35	market	market	NOUN
cana-2889	179	36	situations	situation	NOUN
cana-2889	179	37	.	.	PUNCT
cana-2889	180	1	these	these	DET
cana-2889	180	2	developments	development	NOUN
cana-2889	180	3	highlight	highlight	VERB
cana-2889	180	4	how	how	SCONJ
cana-2889	180	5	crucial	crucial	ADJ
cana-2889	180	6	it	it	PRON
cana-2889	180	7	is	be	AUX
cana-2889	180	8	to	to	PART
cana-2889	180	9	combine	combine	VERB
cana-2889	180	10	various	various	ADJ
cana-2889	180	11	architectures	architecture	NOUN
cana-2889	180	12	,	,	PUNCT
cana-2889	180	13	outside	outside	ADJ
cana-2889	180	14	variables	variable	NOUN
cana-2889	180	15	,	,	PUNCT
cana-2889	180	16	and	and	CCONJ
cana-2889	180	17	flexible	flexible	ADJ
cana-2889	180	18	tactics	tactic	NOUN
cana-2889	180	19	in	in	ADP
cana-2889	180	20	order	order	NOUN
cana-2889	180	21	to	to	PART
cana-2889	180	22	improve	improve	VERB
cana-2889	180	23	energy	energy	NOUN
cana-2889	180	24	market	market	NOUN
cana-2889	180	25	forecasting	forecasting	NOUN
cana-2889	180	26	.	.	PUNCT
cana-2889	181	1	iii	iii	X
cana-2889	181	2	.	.	PROPN
cana-2889	181	3	methodology	methodology	PROPN
cana-2889	181	4	empirical	empirical	ADJ
cana-2889	181	5	mode	mode	NOUN
cana-2889	181	6	decomposition	decomposition	NOUN
cana-2889	181	7	equation	equation	NOUN
cana-2889	181	8	:	:	PUNCT
cana-2889	181	9	the	the	DET
cana-2889	181	10	breakdown	breakdown	NOUN
cana-2889	181	11	of	of	ADP
cana-2889	181	12	time	time	NOUN
cana-2889	181	13	-	-	PUNCT
cana-2889	181	14	series	series	NOUN
cana-2889	181	15	data	datum	NOUN
cana-2889	181	16	using	use	VERB
cana-2889	181	17	eemd	eemd	PROPN
cana-2889	181	18	is	be	AUX
cana-2889	181	19	represented	represent	VERB
cana-2889	181	20	by	by	ADP
cana-2889	181	21	the	the	DET
cana-2889	181	22	equation	equation	NOUN
cana-2889	181	23	(	(	PUNCT
cana-2889	181	24	1	1	NUM
cana-2889	181	25	)	)	PUNCT
cana-2889	181	26	.	.	PUNCT
cana-2889	182	1	the	the	DET
cana-2889	182	2	model	model	NOUN
cana-2889	182	3	increases	increase	VERB
cana-2889	182	4	the	the	DET
cana-2889	182	5	accuracy	accuracy	NOUN
cana-2889	182	6	of	of	ADP
cana-2889	182	7	load	load	NOUN
cana-2889	182	8	and	and	CCONJ
cana-2889	182	9	price	price	NOUN
cana-2889	182	10	projections	projection	NOUN
cana-2889	182	11	by	by	ADP
cana-2889	182	12	eliminating	eliminate	VERB
cana-2889	182	13	noise	noise	NOUN
cana-2889	182	14	and	and	CCONJ
cana-2889	182	15	extracting	extract	VERB
cana-2889	182	16	crucial	crucial	ADJ
cana-2889	182	17	components	component	NOUN
cana-2889	182	18	through	through	ADP
cana-2889	182	19	the	the	DET
cana-2889	182	20	isolation	isolation	NOUN
cana-2889	182	21	of	of	ADP
cana-2889	182	22	imfs	imfs	NOUN
cana-2889	182	23	.	.	PUNCT
cana-2889	183	1	it	it	PRON
cana-2889	183	2	serves	serve	VERB
cana-2889	183	3	as	as	ADP
cana-2889	183	4	the	the	DET
cana-2889	183	5	basis	basis	NOUN
cana-2889	183	6	for	for	ADP
cana-2889	183	7	preparing	prepare	VERB
cana-2889	183	8	data	datum	NOUN
cana-2889	183	9	from	from	ADP
cana-2889	183	10	the	the	DET
cana-2889	183	11	energy	energy	NOUN
cana-2889	183	12	market	market	NOUN
cana-2889	183	13	.	.	PUNCT
cana-2889	184	1	𝑥(𝑡	𝑥(𝑡	NOUN
cana-2889	184	2	)	)	PUNCT
cana-2889	184	3	=	=	SYM
cana-2889	184	4	∑	∑	PUNCT
cana-2889	184	5	𝑐𝑖(𝑡	𝑐𝑖(𝑡	PUNCT
cana-2889	184	6	)	)	PUNCT
cana-2889	185	1	+	+	CCONJ
cana-2889	185	2	𝑟(𝑡)𝑛	𝑟(𝑡)𝑛	NOUN
cana-2889	185	3	𝑖=1	𝑖=1	PUNCT
cana-2889	185	4	(	(	PUNCT
cana-2889	185	5	1	1	NUM
cana-2889	185	6	)	)	PUNCT
cana-2889	185	7	where	where	SCONJ
cana-2889	185	8	,	,	PUNCT
cana-2889	185	9	𝑥(𝑡	𝑥(𝑡	PROPN
cana-2889	185	10	)	)	PUNCT
cana-2889	185	11	:	:	PUNCT
cana-2889	185	12	original	original	ADJ
cana-2889	185	13	time	time	NOUN
cana-2889	185	14	series	series	PROPN
cana-2889	185	15	data	data	PROPN
cana-2889	185	16	𝑐𝑖(𝑡	𝑐𝑖(𝑡	NOUN
cana-2889	185	17	)	)	PUNCT
cana-2889	185	18	:	:	PUNCT
cana-2889	185	19	intrinsic	intrinsic	ADJ
cana-2889	185	20	mode	mode	NOUN
cana-2889	185	21	functions	function	NOUN
cana-2889	185	22	(	(	PUNCT
cana-2889	185	23	imfs	imfs	NOUN
cana-2889	185	24	)	)	PUNCT
cana-2889	185	25	.	.	PUNCT
cana-2889	186	1	𝑟(𝑡	𝑟(𝑡	NOUN
cana-2889	186	2	)	)	PUNCT
cana-2889	186	3	:	:	PUNCT
cana-2889	186	4	residual	residual	ADJ
cana-2889	186	5	component	component	NOUN
cana-2889	186	6	communications	communication	NOUN
cana-2889	186	7	on	on	ADP
cana-2889	186	8	applied	apply	VERB
cana-2889	186	9	nonlinear	nonlinear	ADJ
cana-2889	186	10	analysis	analysis	NOUN
cana-2889	186	11	issn	issn	NOUN
cana-2889	186	12	:	:	PUNCT
cana-2889	186	13	1074	1074	NUM
cana-2889	186	14	-	-	PUNCT
cana-2889	186	15	133x	133x	NUM
cana-2889	186	16	vol	vol	NOUN
cana-2889	186	17	32	32	NUM
cana-2889	186	18	no	no	NOUN
cana-2889	186	19	.	.	PUNCT
cana-2889	187	1	4s	4s	NUM
cana-2889	187	2	(	(	PUNCT
cana-2889	187	3	2025	2025	NUM
cana-2889	187	4	)	)	PUNCT
cana-2889	187	5	630	630	NUM
cana-2889	187	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	187	7	attention	attention	NOUN
cana-2889	187	8	mechanism	mechanism	NOUN
cana-2889	187	9	weight	weight	NOUN
cana-2889	187	10	calculation	calculation	NOUN
cana-2889	187	11	:	:	PUNCT
cana-2889	187	12	the	the	DET
cana-2889	187	13	cnn	cnn	PROPN
cana-2889	187	14	-	-	PUNCT
cana-2889	187	15	am	am	NOUN
cana-2889	187	16	model	model	NOUN
cana-2889	187	17	can	can	AUX
cana-2889	187	18	concentrate	concentrate	VERB
cana-2889	187	19	on	on	ADP
cana-2889	187	20	important	important	ADJ
cana-2889	187	21	features	feature	NOUN
cana-2889	187	22	in	in	ADP
cana-2889	187	23	load	load	NOUN
cana-2889	187	24	and	and	CCONJ
cana-2889	187	25	pricing	pricing	NOUN
cana-2889	187	26	data	datum	NOUN
cana-2889	187	27	according	accord	VERB
cana-2889	187	28	to	to	ADP
cana-2889	187	29	the	the	DET
cana-2889	187	30	equation	equation	NOUN
cana-2889	187	31	(	(	PUNCT
cana-2889	187	32	2	2	NUM
cana-2889	187	33	)	)	PUNCT
cana-2889	187	34	,	,	PUNCT
cana-2889	187	35	which	which	PRON
cana-2889	187	36	computes	compute	VERB
cana-2889	187	37	attention	attention	NOUN
cana-2889	187	38	weights	weight	NOUN
cana-2889	187	39	.	.	PUNCT
cana-2889	188	1	it	it	PRON
cana-2889	188	2	improves	improve	VERB
cana-2889	188	3	predictability	predictability	NOUN
cana-2889	188	4	and	and	CCONJ
cana-2889	188	5	interpretability	interpretability	NOUN
cana-2889	188	6	.	.	PUNCT
cana-2889	189	1	𝛼𝑖	𝛼𝑖	X
cana-2889	189	2	=	=	SYM
cana-2889	189	3	exp	exp	PROPN
cana-2889	189	4	(	(	PUNCT
cana-2889	189	5	𝑒𝑖	𝑒𝑖	PROPN
cana-2889	189	6	)	)	PUNCT
cana-2889	189	7	∑	∑	NOUN
cana-2889	189	8	exp	exp	X
cana-2889	189	9	(	(	PUNCT
cana-2889	189	10	𝑒𝑖)𝑗	𝑒𝑖)𝑗	PROPN
cana-2889	189	11	(	(	PUNCT
cana-2889	189	12	2	2	NUM
cana-2889	189	13	)	)	PUNCT
cana-2889	189	14	where	where	SCONJ
cana-2889	189	15	,	,	PUNCT
cana-2889	189	16	𝛼𝑖	𝛼𝑖	ADJ
cana-2889	189	17	:	:	PUNCT
cana-2889	189	18	attention	attention	NOUN
cana-2889	189	19	weight	weight	NOUN
cana-2889	189	20	for	for	ADP
cana-2889	189	21	the	the	DET
cana-2889	189	22	i	i	PROPN
cana-2889	189	23	-	-	PUNCT
cana-2889	189	24	th	th	X
cana-2889	189	25	input	input	NOUN
cana-2889	189	26	𝑒𝑖	𝑒𝑖	NOUN
cana-2889	189	27	):	):	PUNCT
cana-2889	189	28	alignment	alignment	NOUN
cana-2889	189	29	score	score	NOUN
cana-2889	189	30	lstm	lstm	PROPN
cana-2889	189	31	state	state	NOUN
cana-2889	189	32	update	update	NOUN
cana-2889	189	33	equation	equation	NOUN
cana-2889	189	34	:	:	PUNCT
cana-2889	189	35	the	the	DET
cana-2889	189	36	equation	equation	NOUN
cana-2889	189	37	(	(	PUNCT
cana-2889	189	38	3	3	X
cana-2889	189	39	)	)	PUNCT
cana-2889	189	40	captures	capture	VERB
cana-2889	189	41	dependencies	dependency	NOUN
cana-2889	189	42	in	in	ADP
cana-2889	189	43	sequential	sequential	ADJ
cana-2889	189	44	data	datum	NOUN
cana-2889	189	45	and	and	CCONJ
cana-2889	189	46	defines	define	VERB
cana-2889	189	47	the	the	DET
cana-2889	189	48	hidden	hidden	ADJ
cana-2889	189	49	state	state	NOUN
cana-2889	189	50	in	in	ADP
cana-2889	189	51	lstms	lstms	ADJ
cana-2889	189	52	.	.	PUNCT
cana-2889	190	1	it	it	PRON
cana-2889	190	2	is	be	AUX
cana-2889	190	3	essential	essential	ADJ
cana-2889	190	4	for	for	ADP
cana-2889	190	5	simulating	simulate	VERB
cana-2889	190	6	seasonal	seasonal	ADJ
cana-2889	190	7	trends	trend	NOUN
cana-2889	190	8	in	in	ADP
cana-2889	190	9	the	the	DET
cana-2889	190	10	demand	demand	NOUN
cana-2889	190	11	for	for	ADP
cana-2889	190	12	and	and	CCONJ
cana-2889	190	13	cost	cost	NOUN
cana-2889	190	14	of	of	ADP
cana-2889	190	15	power	power	NOUN
cana-2889	190	16	.	.	PUNCT
cana-2889	191	1	ℎ𝑡	ℎ𝑡	NOUN
cana-2889	191	2	=	=	PUNCT
cana-2889	191	3	𝑜𝑡	𝑜𝑡	PROPN
cana-2889	191	4	.	.	PUNCT
cana-2889	192	1	𝑡𝑎𝑛ℎ(𝐶𝑡	𝑡𝑎𝑛ℎ(𝐶𝑡	PROPN
cana-2889	192	2	)	)	PUNCT
cana-2889	192	3	(	(	PUNCT
cana-2889	192	4	3	3	X
cana-2889	192	5	)	)	PUNCT
cana-2889	192	6	where	where	SCONJ
cana-2889	192	7	,	,	PUNCT
cana-2889	192	8	ℎ𝑡	ℎ𝑡	NOUN
cana-2889	192	9	:	:	PUNCT
cana-2889	192	10	hidden	hidden	ADJ
cana-2889	192	11	state	state	NOUN
cana-2889	192	12	at	at	ADP
cana-2889	192	13	time	time	NOUN
cana-2889	192	14	t	t	PROPN
cana-2889	192	15	𝑜𝑡	𝑜𝑡	NOUN
cana-2889	192	16	:	:	PUNCT
cana-2889	192	17	output	output	NOUN
cana-2889	192	18	gate	gate	NOUN
cana-2889	193	1	𝐶𝑡	𝐶𝑡	PROPN
cana-2889	193	2	:	:	PUNCT
cana-2889	193	3	cell	cell	NOUN
cana-2889	193	4	state	state	NOUN
cana-2889	193	5	at	at	ADP
cana-2889	193	6	time	time	NOUN
cana-2889	193	7	t	t	PROPN
cana-2889	193	8	kalman	kalman	PROPN
cana-2889	193	9	filter	filter	PROPN
cana-2889	193	10	state	state	PROPN
cana-2889	193	11	prediction	prediction	NOUN
cana-2889	193	12	:	:	PUNCT
cana-2889	193	13	by	by	ADP
cana-2889	193	14	turning	turn	VERB
cana-2889	193	15	off	off	ADP
cana-2889	193	16	unused	unused	ADJ
cana-2889	193	17	clock	clock	NOUN
cana-2889	193	18	routes	route	NOUN
cana-2889	193	19	,	,	PUNCT
cana-2889	193	20	clock	clock	NOUN
cana-2889	193	21	gating	gating	NOUN
cana-2889	193	22	lowers	lower	VERB
cana-2889	193	23	𝑃𝑐𝑙𝑜𝑐𝑘	𝑃𝑐𝑙𝑜𝑐𝑘	PROPN
cana-2889	193	24	and	and	CCONJ
cana-2889	193	25	conserves	conserve	VERB
cana-2889	193	26	dynamic	dynamic	ADJ
cana-2889	193	27	power	power	NOUN
cana-2889	193	28	.	.	PUNCT
cana-2889	194	1	when	when	SCONJ
cana-2889	194	2	building	build	VERB
cana-2889	194	3	high	high	ADJ
cana-2889	194	4	-	-	PUNCT
cana-2889	194	5	performance	performance	NOUN
cana-2889	194	6	,	,	PUNCT
cana-2889	194	7	energy	energy	NOUN
cana-2889	194	8	-	-	PUNCT
cana-2889	194	9	efficient	efficient	ADJ
cana-2889	194	10	circuits	circuit	NOUN
cana-2889	194	11	where	where	SCONJ
cana-2889	194	12	the	the	DET
cana-2889	194	13	clock	clock	NOUN
cana-2889	194	14	network	network	NOUN
cana-2889	194	15	can	can	AUX
cana-2889	194	16	control	control	VERB
cana-2889	194	17	power	power	NOUN
cana-2889	194	18	consumption	consumption	NOUN
cana-2889	194	19	,	,	PUNCT
cana-2889	194	20	this	this	PRON
cana-2889	194	21	is	be	AUX
cana-2889	194	22	essential	essential	ADJ
cana-2889	194	23	.	.	PUNCT
cana-2889	195	1	𝑥𝑘	𝑥𝑘	PUNCT
cana-2889	196	1	=	=	PUNCT
cana-2889	196	2	𝐴	𝐴	PROPN
cana-2889	196	3	𝑥𝑘−1	𝑥𝑘−1	VERB
cana-2889	196	4	′	′	NOUN
cana-2889	197	1	+	+	CCONJ
cana-2889	197	2	𝐵𝑢𝑘	𝐵𝑢𝑘	PROPN
cana-2889	197	3	(	(	PUNCT
cana-2889	197	4	4	4	NUM
cana-2889	197	5	)	)	PUNCT
cana-2889	197	6	where	where	SCONJ
cana-2889	197	7	,	,	PUNCT
cana-2889	197	8	𝑥𝑘	𝑥𝑘	X
cana-2889	197	9	:	:	PUNCT
cana-2889	197	10	predicted	predict	VERB
cana-2889	197	11	state	state	NOUN
cana-2889	197	12	𝐴	𝐴	PROPN
cana-2889	197	13	:	:	PUNCT
cana-2889	197	14	state	state	NOUN
cana-2889	197	15	transition	transition	NOUN
cana-2889	197	16	matrix	matrix	NOUN
cana-2889	197	17	𝑥𝑘−1	𝑥𝑘−1	PROPN
cana-2889	197	18	′	′	NUM
cana-2889	197	19	:	:	PUNCT
cana-2889	197	20	previous	previous	ADJ
cana-2889	197	21	state	state	NOUN
cana-2889	197	22	estimate	estimate	NOUN
cana-2889	197	23	𝐵𝑢𝑘	𝐵𝑢𝑘	PROPN
cana-2889	197	24	:	:	PUNCT
cana-2889	197	25	control	control	NOUN
cana-2889	197	26	input	input	NOUN
cana-2889	197	27	the	the	DET
cana-2889	197	28	approaches	approach	NOUN
cana-2889	197	29	discussed	discuss	VERB
cana-2889	197	30	improve	improve	VERB
cana-2889	197	31	the	the	DET
cana-2889	197	32	forecasting	forecasting	NOUN
cana-2889	197	33	of	of	ADP
cana-2889	197	34	energy	energy	NOUN
cana-2889	197	35	load	load	NOUN
cana-2889	197	36	and	and	CCONJ
cana-2889	197	37	pricing	pricing	NOUN
cana-2889	197	38	in	in	ADP
cana-2889	197	39	terms	term	NOUN
cana-2889	197	40	of	of	ADP
cana-2889	197	41	accuracy	accuracy	NOUN
cana-2889	197	42	and	and	CCONJ
cana-2889	197	43	interpretability	interpretability	NOUN
cana-2889	197	44	.	.	PUNCT
cana-2889	198	1	in	in	ADP
cana-2889	198	2	order	order	NOUN
cana-2889	198	3	to	to	PART
cana-2889	198	4	prepare	prepare	VERB
cana-2889	198	5	energy	energy	NOUN
cana-2889	198	6	market	market	NOUN
cana-2889	198	7	data	datum	NOUN
cana-2889	198	8	for	for	ADP
cana-2889	198	9	study	study	NOUN
cana-2889	198	10	,	,	PUNCT
cana-2889	198	11	empirical	empirical	ADJ
cana-2889	198	12	mode	mode	NOUN
cana-2889	198	13	decomposition	decomposition	NOUN
cana-2889	198	14	(	(	PUNCT
cana-2889	198	15	eemd	eemd	NOUN
cana-2889	198	16	)	)	PUNCT
cana-2889	198	17	separates	separate	VERB
cana-2889	198	18	time	time	NOUN
cana-2889	198	19	-	-	PUNCT
cana-2889	198	20	series	series	NOUN
cana-2889	198	21	data	datum	NOUN
cana-2889	198	22	into	into	ADP
cana-2889	198	23	intrinsic	intrinsic	ADJ
cana-2889	198	24	mode	mode	NOUN
cana-2889	198	25	functions	function	NOUN
cana-2889	198	26	(	(	PUNCT
cana-2889	198	27	imfs	imfs	NOUN
cana-2889	198	28	)	)	PUNCT
cana-2889	198	29	and	and	CCONJ
cana-2889	198	30	residuals	residual	NOUN
cana-2889	198	31	while	while	SCONJ
cana-2889	198	32	eliminating	eliminate	VERB
cana-2889	198	33	noise	noise	NOUN
cana-2889	198	34	.	.	PUNCT
cana-2889	199	1	the	the	DET
cana-2889	199	2	cnn	cnn	PROPN
cana-2889	199	3	-	-	PUNCT
cana-2889	199	4	am	be	AUX
cana-2889	199	5	model	model	NOUN
cana-2889	199	6	's	's	PART
cana-2889	199	7	predictability	predictability	NOUN
cana-2889	199	8	is	be	AUX
cana-2889	199	9	increased	increase	VERB
cana-2889	199	10	by	by	ADP
cana-2889	199	11	the	the	DET
cana-2889	199	12	attention	attention	NOUN
cana-2889	199	13	mechanism	mechanism	NOUN
cana-2889	199	14	,	,	PUNCT
cana-2889	199	15	which	which	PRON
cana-2889	199	16	prioritises	prioritise	VERB
cana-2889	199	17	important	important	ADJ
cana-2889	199	18	features	feature	NOUN
cana-2889	199	19	by	by	ADP
cana-2889	199	20	computing	compute	VERB
cana-2889	199	21	weights	weight	NOUN
cana-2889	199	22	.	.	PUNCT
cana-2889	200	1	with	with	ADP
cana-2889	200	2	a	a	DET
cana-2889	200	3	hidden	hidden	ADJ
cana-2889	200	4	state	state	NOUN
cana-2889	200	5	determined	determine	VERB
cana-2889	200	6	by	by	ADP
cana-2889	200	7	output	output	NOUN
cana-2889	200	8	gates	gate	NOUN
cana-2889	200	9	and	and	CCONJ
cana-2889	200	10	cell	cell	NOUN
cana-2889	200	11	states	state	NOUN
cana-2889	200	12	,	,	PUNCT
cana-2889	200	13	long	long	ADJ
cana-2889	200	14	short	short	ADJ
cana-2889	200	15	-	-	PUNCT
cana-2889	200	16	term	term	NOUN
cana-2889	200	17	memory	memory	NOUN
cana-2889	200	18	(	(	PUNCT
cana-2889	200	19	lstm	lstm	NOUN
cana-2889	200	20	)	)	PUNCT
cana-2889	200	21	networks	network	NOUN
cana-2889	200	22	describe	describe	VERB
cana-2889	200	23	seasonal	seasonal	ADJ
cana-2889	200	24	variations	variation	NOUN
cana-2889	200	25	in	in	ADP
cana-2889	200	26	power	power	NOUN
cana-2889	200	27	demand	demand	NOUN
cana-2889	200	28	and	and	CCONJ
cana-2889	200	29	cost	cost	NOUN
cana-2889	200	30	while	while	SCONJ
cana-2889	200	31	capturing	capture	VERB
cana-2889	200	32	dependencies	dependency	NOUN
cana-2889	200	33	in	in	ADP
cana-2889	200	34	sequential	sequential	ADJ
cana-2889	200	35	data	datum	NOUN
cana-2889	200	36	.	.	PUNCT
cana-2889	201	1	last	last	ADJ
cana-2889	201	2	but	but	CCONJ
cana-2889	201	3	not	not	PART
cana-2889	201	4	least	least	ADJ
cana-2889	201	5	,	,	PUNCT
cana-2889	201	6	the	the	DET
cana-2889	201	7	kalman	kalman	NOUN
cana-2889	201	8	filter	filter	NOUN
cana-2889	201	9	allows	allow	VERB
cana-2889	201	10	for	for	ADP
cana-2889	201	11	flexibility	flexibility	NOUN
cana-2889	201	12	in	in	ADP
cana-2889	201	13	response	response	NOUN
cana-2889	201	14	to	to	ADP
cana-2889	201	15	current	current	ADJ
cana-2889	201	16	market	market	NOUN
cana-2889	201	17	conditions	condition	NOUN
cana-2889	201	18	by	by	ADP
cana-2889	201	19	dynamically	dynamically	ADV
cana-2889	201	20	updating	update	VERB
cana-2889	201	21	predictions	prediction	NOUN
cana-2889	201	22	by	by	ADP
cana-2889	201	23	communications	communication	NOUN
cana-2889	201	24	on	on	ADP
cana-2889	201	25	applied	apply	VERB
cana-2889	201	26	nonlinear	nonlinear	ADJ
cana-2889	201	27	analysis	analysis	NOUN
cana-2889	201	28	issn	issn	NOUN
cana-2889	201	29	:	:	PUNCT
cana-2889	201	30	1074	1074	NUM
cana-2889	201	31	-	-	PUNCT
cana-2889	201	32	133x	133x	NUM
cana-2889	201	33	vol	vol	NOUN
cana-2889	201	34	32	32	NUM
cana-2889	201	35	no	no	NOUN
cana-2889	201	36	.	.	PUNCT
cana-2889	202	1	4s	4s	NUM
cana-2889	202	2	(	(	PUNCT
cana-2889	202	3	2025	2025	NUM
cana-2889	202	4	)	)	PUNCT
cana-2889	202	5	631	631	NUM
cana-2889	202	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	202	7	integrating	integrate	VERB
cana-2889	202	8	control	control	NOUN
cana-2889	202	9	inputs	input	NOUN
cana-2889	202	10	and	and	CCONJ
cana-2889	202	11	state	state	NOUN
cana-2889	202	12	transition	transition	NOUN
cana-2889	202	13	matrices	matrix	NOUN
cana-2889	202	14	.	.	PUNCT
cana-2889	203	1	when	when	SCONJ
cana-2889	203	2	combined	combine	VERB
cana-2889	203	3	,	,	PUNCT
cana-2889	203	4	these	these	DET
cana-2889	203	5	methods	method	NOUN
cana-2889	203	6	produce	produce	VERB
cana-2889	203	7	a	a	DET
cana-2889	203	8	strong	strong	ADJ
cana-2889	203	9	hybrid	hybrid	ADJ
cana-2889	203	10	forecasting	forecasting	NOUN
cana-2889	203	11	framework	framework	NOUN
cana-2889	203	12	that	that	PRON
cana-2889	203	13	successfully	successfully	ADV
cana-2889	203	14	captures	capture	VERB
cana-2889	203	15	the	the	DET
cana-2889	203	16	sequential	sequential	ADJ
cana-2889	203	17	and	and	CCONJ
cana-2889	203	18	nonlinear	nonlinear	ADJ
cana-2889	203	19	dynamics	dynamic	NOUN
cana-2889	203	20	of	of	ADP
cana-2889	203	21	electricity	electricity	NOUN
cana-2889	203	22	markets	market	NOUN
cana-2889	203	23	.	.	PUNCT
cana-2889	204	1	iv	iv	X
cana-2889	204	2	.	.	PUNCT
cana-2889	204	3	results	result	NOUN
cana-2889	204	4	and	and	CCONJ
cana-2889	204	5	discussions	discussion	NOUN
cana-2889	204	6	fig	fig	NOUN
cana-2889	204	7	.	.	PUNCT
cana-2889	205	1	5	5	NUM
cana-2889	205	2	:	:	PUNCT
cana-2889	205	3	performance	performance	NOUN
cana-2889	205	4	metrics	metric	NOUN
cana-2889	205	5	comparison	comparison	NOUN
cana-2889	205	6	using	use	VERB
cana-2889	205	7	metrics	metric	NOUN
cana-2889	205	8	like	like	ADP
cana-2889	205	9	rmse	rmse	NOUN
cana-2889	205	10	,	,	PUNCT
cana-2889	205	11	mae	mae	PROPN
cana-2889	205	12	,	,	PUNCT
cana-2889	205	13	and	and	CCONJ
cana-2889	205	14	mape	mape	NOUN
cana-2889	205	15	,	,	PUNCT
cana-2889	205	16	the	the	DET
cana-2889	205	17	performance	performance	NOUN
cana-2889	205	18	metrics	metric	NOUN
cana-2889	205	19	comparison	comparison	NOUN
cana-2889	205	20	table	table	NOUN
cana-2889	205	21	shows	show	VERB
cana-2889	205	22	how	how	SCONJ
cana-2889	205	23	well	well	ADV
cana-2889	205	24	different	different	ADJ
cana-2889	205	25	models	model	NOUN
cana-2889	205	26	anticipate	anticipate	VERB
cana-2889	205	27	shortand	shortand	NOUN
cana-2889	205	28	medium	medium	ADJ
cana-2889	205	29	-	-	PUNCT
cana-2889	205	30	term	term	NOUN
cana-2889	205	31	electrical	electrical	ADJ
cana-2889	205	32	loads	load	NOUN
cana-2889	205	33	.	.	PUNCT
cana-2889	206	1	the	the	DET
cana-2889	206	2	normal	normal	ADJ
cana-2889	206	3	cnn	cnn	PROPN
cana-2889	206	4	,	,	PUNCT
cana-2889	206	5	lstm	lstm	PROPN
cana-2889	206	6	,	,	PUNCT
cana-2889	206	7	cnn	cnn	PROPN
cana-2889	206	8	-	-	PUNCT
cana-2889	206	9	lstm	lstm	PROPN
cana-2889	206	10	,	,	PUNCT
cana-2889	206	11	and	and	CCONJ
cana-2889	206	12	the	the	DET
cana-2889	206	13	suggested	suggest	VERB
cana-2889	206	14	cnn	cnn	PROPN
cana-2889	206	15	-	-	PUNCT
cana-2889	206	16	am	am	NOUN
cana-2889	206	17	models	model	NOUN
cana-2889	206	18	are	be	AUX
cana-2889	206	19	all	all	ADV
cana-2889	206	20	contrasted	contrast	VERB
cana-2889	206	21	in	in	ADP
cana-2889	206	22	fig	fig	NOUN
cana-2889	206	23	.	.	PUNCT
cana-2889	207	1	5	5	X
cana-2889	207	2	.	.	X
cana-2889	207	3	in	in	ADP
cana-2889	207	4	every	every	DET
cana-2889	207	5	metric	metric	NOUN
cana-2889	207	6	,	,	PUNCT
cana-2889	207	7	the	the	DET
cana-2889	207	8	cnn	cnn	PROPN
cana-2889	207	9	-	-	PUNCT
cana-2889	207	10	am	am	NOUN
cana-2889	207	11	model	model	NOUN
cana-2889	207	12	performs	perform	VERB
cana-2889	207	13	better	well	ADJ
cana-2889	207	14	than	than	ADP
cana-2889	207	15	the	the	DET
cana-2889	207	16	others	other	NOUN
cana-2889	207	17	.	.	PUNCT
cana-2889	208	1	it	it	PRON
cana-2889	208	2	has	have	VERB
cana-2889	208	3	the	the	DET
cana-2889	208	4	lowest	low	ADJ
cana-2889	208	5	rmse	rmse	NOUN
cana-2889	208	6	of	of	ADP
cana-2889	208	7	9.78	9.78	NUM
cana-2889	208	8	,	,	PUNCT
cana-2889	208	9	mae	mae	PROPN
cana-2889	208	10	of	of	ADP
cana-2889	208	11	8.12	8.12	NUM
cana-2889	208	12	,	,	PUNCT
cana-2889	208	13	and	and	CCONJ
cana-2889	208	14	mape	mape	NOUN
cana-2889	208	15	of	of	ADP
cana-2889	208	16	1.65	1.65	NUM
cana-2889	208	17	%	%	NOUN
cana-2889	208	18	for	for	ADP
cana-2889	208	19	short	short	ADJ
cana-2889	208	20	-	-	PUNCT
cana-2889	208	21	term	term	NOUN
cana-2889	208	22	forecasting	forecasting	NOUN
cana-2889	208	23	.	.	PUNCT
cana-2889	209	1	similarly	similarly	ADV
cana-2889	209	2	,	,	PUNCT
cana-2889	209	3	with	with	ADP
cana-2889	209	4	an	an	DET
cana-2889	209	5	rmse	rmse	NOUN
cana-2889	209	6	of	of	ADP
cana-2889	209	7	12.89	12.89	NUM
cana-2889	209	8	,	,	PUNCT
cana-2889	209	9	mae	mae	PROPN
cana-2889	209	10	of	of	ADP
cana-2889	209	11	10.89	10.89	NUM
cana-2889	209	12	,	,	PUNCT
cana-2889	209	13	and	and	CCONJ
cana-2889	209	14	mape	mape	NOUN
cana-2889	209	15	of	of	ADP
cana-2889	209	16	2.45	2.45	NUM
cana-2889	209	17	%	%	NOUN
cana-2889	209	18	,	,	PUNCT
cana-2889	209	19	the	the	DET
cana-2889	209	20	cnn	cnn	PROPN
cana-2889	209	21	-	-	PUNCT
cana-2889	209	22	am	am	NOUN
cana-2889	209	23	model	model	NOUN
cana-2889	209	24	performs	perform	VERB
cana-2889	209	25	better	well	ADJ
cana-2889	209	26	for	for	ADP
cana-2889	209	27	medium	medium	ADJ
cana-2889	209	28	-	-	PUNCT
cana-2889	209	29	term	term	NOUN
cana-2889	209	30	forecasting	forecasting	NOUN
cana-2889	209	31	.	.	PUNCT
cana-2889	210	1	although	although	SCONJ
cana-2889	210	2	the	the	DET
cana-2889	210	3	cnn	cnn	PROPN
cana-2889	210	4	-	-	PUNCT
cana-2889	210	5	lstm	lstm	PROPN
cana-2889	210	6	model	model	NOUN
cana-2889	210	7	outperforms	outperform	VERB
cana-2889	210	8	the	the	DET
cana-2889	210	9	cnn	cnn	PROPN
cana-2889	210	10	and	and	CCONJ
cana-2889	210	11	lstm	lstm	NOUN
cana-2889	210	12	models	model	NOUN
cana-2889	210	13	alone	alone	ADV
cana-2889	210	14	,	,	PUNCT
cana-2889	210	15	it	it	PRON
cana-2889	210	16	is	be	AUX
cana-2889	210	17	not	not	PART
cana-2889	210	18	as	as	ADV
cana-2889	210	19	accurate	accurate	ADJ
cana-2889	210	20	as	as	ADP
cana-2889	210	21	the	the	DET
cana-2889	210	22	cnn	cnn	PROPN
cana-2889	210	23	-	-	PUNCT
cana-2889	210	24	am	am	PROPN
cana-2889	210	25	.	.	PUNCT
cana-2889	211	1	due	due	ADP
cana-2889	211	2	to	to	ADP
cana-2889	211	3	its	its	PRON
cana-2889	211	4	simplicity	simplicity	NOUN
cana-2889	211	5	,	,	PUNCT
cana-2889	211	6	the	the	DET
cana-2889	211	7	cnn	cnn	PROPN
cana-2889	211	8	model	model	NOUN
cana-2889	211	9	has	have	VERB
cana-2889	211	10	the	the	DET
cana-2889	211	11	greatest	great	ADJ
cana-2889	211	12	rmse	rmse	NOUN
cana-2889	211	13	and	and	CCONJ
cana-2889	211	14	mape	mape	NOUN
cana-2889	211	15	values	value	NOUN
cana-2889	211	16	,	,	PUNCT
cana-2889	211	17	which	which	PRON
cana-2889	211	18	suggests	suggest	VERB
cana-2889	211	19	that	that	SCONJ
cana-2889	211	20	its	its	PRON
cana-2889	211	21	prediction	prediction	NOUN
cana-2889	211	22	accuracy	accuracy	NOUN
cana-2889	211	23	is	be	AUX
cana-2889	211	24	poorer	poor	ADJ
cana-2889	211	25	.	.	PUNCT
cana-2889	212	1	because	because	SCONJ
cana-2889	212	2	the	the	DET
cana-2889	212	3	hybrid	hybrid	ADJ
cana-2889	212	4	cnn	cnn	PROPN
cana-2889	212	5	-	-	PUNCT
cana-2889	212	6	am	am	NOUN
cana-2889	212	7	model	model	NOUN
cana-2889	212	8	has	have	VERB
cana-2889	212	9	an	an	DET
cana-2889	212	10	attention	attention	NOUN
cana-2889	212	11	mechanism	mechanism	NOUN
cana-2889	212	12	that	that	PRON
cana-2889	212	13	better	well	ADV
cana-2889	212	14	captures	capture	VERB
cana-2889	212	15	temporal	temporal	ADJ
cana-2889	212	16	dependencies	dependency	NOUN
cana-2889	212	17	and	and	CCONJ
cana-2889	212	18	pertinent	pertinent	ADJ
cana-2889	212	19	patterns	pattern	NOUN
cana-2889	212	20	in	in	ADP
cana-2889	212	21	the	the	DET
cana-2889	212	22	data	datum	NOUN
cana-2889	212	23	,	,	PUNCT
cana-2889	212	24	the	the	DET
cana-2889	212	25	results	result	NOUN
cana-2889	212	26	highlight	highlight	VERB
cana-2889	212	27	the	the	DET
cana-2889	212	28	model	model	NOUN
cana-2889	212	29	's	's	PART
cana-2889	212	30	benefit	benefit	NOUN
cana-2889	212	31	in	in	ADP
cana-2889	212	32	improving	improve	VERB
cana-2889	212	33	accuracy	accuracy	NOUN
cana-2889	212	34	.	.	PUNCT
cana-2889	213	1	fig	fig	NOUN
cana-2889	213	2	.	.	PUNCT
cana-2889	214	1	6	6	NUM
cana-2889	214	2	:	:	PUNCT
cana-2889	214	3	attention	attention	NOUN
cana-2889	214	4	mechanism	mechanism	NOUN
cana-2889	214	5	impact	impact	NOUN
cana-2889	214	6	on	on	ADP
cana-2889	214	7	prediction	prediction	NOUN
cana-2889	214	8	accuracy	accuracy	NOUN
cana-2889	214	9	when	when	SCONJ
cana-2889	214	10	an	an	DET
cana-2889	214	11	attention	attention	NOUN
cana-2889	214	12	mechanism	mechanism	NOUN
cana-2889	214	13	is	be	AUX
cana-2889	214	14	incorporated	incorporate	VERB
cana-2889	214	15	into	into	ADP
cana-2889	214	16	the	the	DET
cana-2889	214	17	model	model	NOUN
cana-2889	214	18	,	,	PUNCT
cana-2889	214	19	prediction	prediction	NOUN
cana-2889	214	20	accuracy	accuracy	NOUN
cana-2889	214	21	increases	increase	NOUN
cana-2889	214	22	,	,	PUNCT
cana-2889	214	23	as	as	SCONJ
cana-2889	214	24	shown	show	VERB
cana-2889	214	25	in	in	ADP
cana-2889	214	26	the	the	DET
cana-2889	214	27	attention	attention	NOUN
cana-2889	214	28	mechanism	mechanism	NOUN
cana-2889	214	29	impact	impact	NOUN
cana-2889	214	30	on	on	ADP
cana-2889	214	31	prediction	prediction	NOUN
cana-2889	214	32	accuracy	accuracy	NOUN
cana-2889	214	33	.	.	PUNCT
cana-2889	215	1	figure	figure	NOUN
cana-2889	215	2	6	6	NUM
cana-2889	215	3	computes	compute	VERB
cana-2889	215	4	the	the	DET
cana-2889	215	5	corresponding	correspond	VERB
cana-2889	215	6	accuracy	accuracy	NOUN
cana-2889	215	7	gain	gain	NOUN
cana-2889	215	8	by	by	ADP
cana-2889	215	9	comparing	compare	VERB
cana-2889	215	10	the	the	DET
cana-2889	215	11	root	root	NOUN
cana-2889	215	12	mean	mean	VERB
cana-2889	215	13	squared	square	VERB
cana-2889	215	14	error	error	NOUN
cana-2889	215	15	(	(	PUNCT
cana-2889	215	16	rmse	rmse	NOUN
cana-2889	215	17	)	)	PUNCT
cana-2889	215	18	for	for	ADP
cana-2889	215	19	three	three	NUM
cana-2889	215	20	datasets	dataset	NOUN
cana-2889	215	21	with	with	ADP
cana-2889	215	22	and	and	CCONJ
cana-2889	215	23	without	without	ADP
cana-2889	215	24	the	the	DET
cana-2889	215	25	attention	attention	NOUN
cana-2889	215	26	technique	technique	NOUN
cana-2889	215	27	.	.	PUNCT
cana-2889	216	1	communications	communication	NOUN
cana-2889	216	2	on	on	ADP
cana-2889	216	3	applied	apply	VERB
cana-2889	216	4	nonlinear	nonlinear	ADJ
cana-2889	216	5	analysis	analysis	NOUN
cana-2889	216	6	issn	issn	NOUN
cana-2889	216	7	:	:	PUNCT
cana-2889	216	8	1074	1074	NUM
cana-2889	216	9	-	-	PUNCT
cana-2889	216	10	133x	133x	NUM
cana-2889	216	11	vol	vol	NOUN
cana-2889	216	12	32	32	NUM
cana-2889	216	13	no	no	NOUN
cana-2889	216	14	.	.	PUNCT
cana-2889	217	1	4s	4s	NUM
cana-2889	217	2	(	(	PUNCT
cana-2889	217	3	2025	2025	NUM
cana-2889	217	4	)	)	PUNCT
cana-2889	217	5	632	632	NUM
cana-2889	217	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	217	7	the	the	DET
cana-2889	217	8	attention	attention	NOUN
cana-2889	217	9	technique	technique	NOUN
cana-2889	217	10	significantly	significantly	ADV
cana-2889	217	11	lowers	lower	VERB
cana-2889	217	12	the	the	DET
cana-2889	217	13	rmse	rmse	NOUN
cana-2889	217	14	for	for	ADP
cana-2889	217	15	all	all	DET
cana-2889	217	16	datasets	dataset	NOUN
cana-2889	217	17	,	,	PUNCT
cana-2889	217	18	demonstrating	demonstrate	VERB
cana-2889	217	19	improved	improve	VERB
cana-2889	217	20	model	model	NOUN
cana-2889	217	21	performance	performance	NOUN
cana-2889	217	22	.	.	PUNCT
cana-2889	218	1	the	the	DET
cana-2889	218	2	accuracy	accuracy	NOUN
cana-2889	218	3	of	of	ADP
cana-2889	218	4	dataset	dataset	NOUN
cana-2889	218	5	1	1	NUM
cana-2889	218	6	improves	improve	VERB
cana-2889	218	7	by	by	ADP
cana-2889	218	8	13.12	13.12	NUM
cana-2889	218	9	%	%	NOUN
cana-2889	218	10	as	as	SCONJ
cana-2889	218	11	the	the	DET
cana-2889	218	12	rmse	rmse	NOUN
cana-2889	218	13	drops	drop	VERB
cana-2889	218	14	from	from	ADP
cana-2889	218	15	13.56	13.56	NUM
cana-2889	218	16	to	to	ADP
cana-2889	218	17	11.78	11.78	NUM
cana-2889	218	18	.	.	PUNCT
cana-2889	219	1	likewise	likewise	ADV
cana-2889	219	2	,	,	PUNCT
cana-2889	219	3	dataset	dataset	VERB
cana-2889	219	4	2	2	NUM
cana-2889	219	5	exhibits	exhibit	VERB
cana-2889	219	6	a	a	DET
cana-2889	219	7	13.74	13.74	NUM
cana-2889	219	8	%	%	NOUN
cana-2889	219	9	gain	gain	NOUN
cana-2889	219	10	in	in	ADP
cana-2889	219	11	accuracy	accuracy	NOUN
cana-2889	219	12	and	and	CCONJ
cana-2889	219	13	a	a	DET
cana-2889	219	14	decrease	decrease	NOUN
cana-2889	219	15	in	in	ADP
cana-2889	219	16	rmse	rmse	NOUN
cana-2889	219	17	from	from	ADP
cana-2889	219	18	12.89	12.89	NUM
cana-2889	219	19	to	to	ADP
cana-2889	219	20	11.12	11.12	NUM
cana-2889	219	21	.	.	PUNCT
cana-2889	220	1	the	the	DET
cana-2889	220	2	rmse	rmse	NOUN
cana-2889	220	3	in	in	ADP
cana-2889	220	4	dataset	dataset	NOUN
cana-2889	220	5	3	3	NUM
cana-2889	220	6	decreases	decrease	NOUN
cana-2889	220	7	from	from	ADP
cana-2889	220	8	14.45	14.45	NUM
cana-2889	220	9	to	to	ADP
cana-2889	220	10	12.67	12.67	NUM
cana-2889	220	11	,	,	PUNCT
cana-2889	220	12	which	which	PRON
cana-2889	220	13	is	be	AUX
cana-2889	220	14	a	a	DET
cana-2889	220	15	12.32	12.32	NUM
cana-2889	220	16	%	%	NOUN
cana-2889	220	17	increase	increase	NOUN
cana-2889	220	18	in	in	ADP
cana-2889	220	19	accuracy	accuracy	NOUN
cana-2889	220	20	.	.	PUNCT
cana-2889	221	1	these	these	DET
cana-2889	221	2	findings	finding	NOUN
cana-2889	221	3	imply	imply	VERB
cana-2889	221	4	that	that	SCONJ
cana-2889	221	5	the	the	DET
cana-2889	221	6	attention	attention	NOUN
cana-2889	221	7	mechanism	mechanism	NOUN
cana-2889	221	8	greatly	greatly	ADV
cana-2889	221	9	improves	improve	VERB
cana-2889	221	10	the	the	DET
cana-2889	221	11	model	model	NOUN
cana-2889	221	12	's	's	PART
cana-2889	221	13	capacity	capacity	NOUN
cana-2889	221	14	to	to	PART
cana-2889	221	15	concentrate	concentrate	VERB
cana-2889	221	16	on	on	ADP
cana-2889	221	17	important	important	ADJ
cana-2889	221	18	data	datum	NOUN
cana-2889	221	19	aspects	aspect	NOUN
cana-2889	221	20	,	,	PUNCT
cana-2889	221	21	which	which	PRON
cana-2889	221	22	raises	raise	VERB
cana-2889	221	23	predicting	predict	VERB
cana-2889	221	24	accuracy	accuracy	NOUN
cana-2889	221	25	across	across	ADP
cana-2889	221	26	various	various	ADJ
cana-2889	221	27	datasets	dataset	NOUN
cana-2889	221	28	.	.	PUNCT
cana-2889	222	1	fig	fig	NOUN
cana-2889	222	2	.	.	PUNCT
cana-2889	223	1	7	7	NUM
cana-2889	223	2	:	:	PUNCT
cana-2889	223	3	computational	computational	ADJ
cana-2889	223	4	efficiency	efficiency	NOUN
cana-2889	223	5	comparison	comparison	NOUN
cana-2889	223	6	cnn	cnn	PROPN
cana-2889	223	7	,	,	PUNCT
cana-2889	223	8	lstm	lstm	PROPN
cana-2889	223	9	,	,	PUNCT
cana-2889	223	10	and	and	CCONJ
cana-2889	223	11	the	the	DET
cana-2889	223	12	suggested	suggest	VERB
cana-2889	223	13	cnn	cnn	PROPN
cana-2889	223	14	-	-	PUNCT
cana-2889	223	15	am	am	PROPN
cana-2889	223	16	model	model	NOUN
cana-2889	223	17	are	be	AUX
cana-2889	223	18	the	the	DET
cana-2889	223	19	three	three	NUM
cana-2889	223	20	models	model	NOUN
cana-2889	223	21	whose	whose	DET
cana-2889	223	22	training	training	NOUN
cana-2889	223	23	time	time	NOUN
cana-2889	223	24	,	,	PUNCT
cana-2889	223	25	prediction	prediction	NOUN
cana-2889	223	26	time	time	NOUN
cana-2889	223	27	,	,	PUNCT
cana-2889	223	28	and	and	CCONJ
cana-2889	223	29	number	number	NOUN
cana-2889	223	30	of	of	ADP
cana-2889	223	31	parameters	parameter	NOUN
cana-2889	223	32	are	be	AUX
cana-2889	223	33	compared	compare	VERB
cana-2889	223	34	in	in	ADP
cana-2889	223	35	the	the	DET
cana-2889	223	36	computational	computational	ADJ
cana-2889	223	37	efficiency	efficiency	NOUN
cana-2889	223	38	comparison	comparison	NOUN
cana-2889	223	39	figure	figure	NOUN
cana-2889	223	40	7	7	NUM
cana-2889	223	41	.	.	PUNCT
cana-2889	223	42	training	training	NOUN
cana-2889	223	43	time	time	NOUN
cana-2889	223	44	:	:	PUNCT
cana-2889	223	45	the	the	DET
cana-2889	223	46	cnn	cnn	PROPN
cana-2889	223	47	model	model	NOUN
cana-2889	223	48	is	be	AUX
cana-2889	223	49	the	the	DET
cana-2889	223	50	quickest	quick	ADJ
cana-2889	223	51	of	of	ADP
cana-2889	223	52	the	the	DET
cana-2889	223	53	three	three	NUM
cana-2889	223	54	,	,	PUNCT
cana-2889	223	55	taking	take	VERB
cana-2889	223	56	24	24	NUM
cana-2889	223	57	minutes	minute	NOUN
cana-2889	223	58	to	to	PART
cana-2889	223	59	train	train	VERB
cana-2889	223	60	.	.	PUNCT
cana-2889	224	1	with	with	ADP
cana-2889	224	2	a	a	DET
cana-2889	224	3	36minute	36minute	NUM
cana-2889	224	4	training	training	NOUN
cana-2889	224	5	period	period	NOUN
cana-2889	224	6	,	,	PUNCT
cana-2889	224	7	the	the	DET
cana-2889	224	8	lstm	lstm	PROPN
cana-2889	224	9	model	model	NOUN
cana-2889	224	10	requires	require	VERB
cana-2889	224	11	the	the	DET
cana-2889	224	12	most	most	ADJ
cana-2889	224	13	time	time	NOUN
cana-2889	224	14	.	.	PUNCT
cana-2889	225	1	the	the	DET
cana-2889	225	2	suggested	suggest	VERB
cana-2889	225	3	cnn	cnn	PROPN
cana-2889	225	4	-	-	PUNCT
cana-2889	225	5	am	am	PROPN
cana-2889	225	6	model	model	NOUN
cana-2889	225	7	takes	take	VERB
cana-2889	225	8	28	28	NUM
cana-2889	225	9	minutes	minute	NOUN
cana-2889	225	10	,	,	PUNCT
cana-2889	225	11	which	which	PRON
cana-2889	225	12	is	be	AUX
cana-2889	225	13	less	less	ADJ
cana-2889	225	14	than	than	ADP
cana-2889	225	15	lstm	lstm	NOUN
cana-2889	225	16	but	but	CCONJ
cana-2889	225	17	a	a	DET
cana-2889	225	18	little	little	ADJ
cana-2889	225	19	longer	long	ADV
cana-2889	225	20	than	than	ADP
cana-2889	225	21	cnn	cnn	PROPN
cana-2889	225	22	.	.	PUNCT
cana-2889	226	1	prediction	prediction	NOUN
cana-2889	226	2	time	time	NOUN
cana-2889	226	3	:	:	PUNCT
cana-2889	226	4	at	at	ADP
cana-2889	226	5	15	15	NUM
cana-2889	226	6	ms	ms	NOUN
cana-2889	226	7	per	per	ADP
cana-2889	226	8	sample	sample	NOUN
cana-2889	226	9	,	,	PUNCT
cana-2889	226	10	the	the	DET
cana-2889	226	11	cnn	cnn	PROPN
cana-2889	226	12	model	model	NOUN
cana-2889	226	13	offers	offer	VERB
cana-2889	226	14	the	the	DET
cana-2889	226	15	quickest	quick	ADJ
cana-2889	226	16	prediction	prediction	NOUN
cana-2889	226	17	time	time	NOUN
cana-2889	226	18	.	.	PUNCT
cana-2889	227	1	with	with	ADP
cana-2889	227	2	a	a	DET
cana-2889	227	3	prediction	prediction	NOUN
cana-2889	227	4	time	time	NOUN
cana-2889	227	5	of	of	ADP
cana-2889	227	6	18	18	NUM
cana-2889	227	7	ms	ms	NOUN
cana-2889	227	8	per	per	ADP
cana-2889	227	9	sample	sample	NOUN
cana-2889	227	10	,	,	PUNCT
cana-2889	227	11	the	the	DET
cana-2889	227	12	cnn	cnn	PROPN
cana-2889	227	13	-	-	PUNCT
cana-2889	227	14	am	am	PROPN
cana-2889	227	15	model	model	NOUN
cana-2889	227	16	falls	fall	VERB
cana-2889	227	17	between	between	ADP
cana-2889	227	18	cnn	cnn	PROPN
cana-2889	227	19	and	and	CCONJ
cana-2889	227	20	lstm	lstm	PROPN
cana-2889	227	21	,	,	PUNCT
cana-2889	227	22	whereas	whereas	SCONJ
cana-2889	227	23	lstm	lstm	ADJ
cana-2889	227	24	is	be	AUX
cana-2889	227	25	the	the	DET
cana-2889	227	26	slowest	slow	ADJ
cana-2889	227	27	at	at	ADP
cana-2889	227	28	20	20	NUM
cana-2889	227	29	ms	ms	NOUN
cana-2889	227	30	per	per	ADP
cana-2889	227	31	sample	sample	NOUN
cana-2889	227	32	.	.	PUNCT
cana-2889	228	1	parameters	parameter	NOUN
cana-2889	228	2	:	:	PUNCT
cana-2889	228	3	the	the	DET
cana-2889	228	4	complexity	complexity	NOUN
cana-2889	228	5	of	of	ADP
cana-2889	228	6	the	the	DET
cana-2889	228	7	model	model	NOUN
cana-2889	228	8	is	be	AUX
cana-2889	228	9	indicated	indicate	VERB
cana-2889	228	10	by	by	ADP
cana-2889	228	11	the	the	DET
cana-2889	228	12	number	number	NOUN
cana-2889	228	13	of	of	ADP
cana-2889	228	14	parameters	parameter	NOUN
cana-2889	228	15	.	.	PUNCT
cana-2889	229	1	a	a	DET
cana-2889	229	2	balance	balance	NOUN
cana-2889	229	3	between	between	ADP
cana-2889	229	4	complexity	complexity	NOUN
cana-2889	229	5	and	and	CCONJ
cana-2889	229	6	efficiency	efficiency	NOUN
cana-2889	229	7	may	may	AUX
cana-2889	229	8	be	be	AUX
cana-2889	229	9	seen	see	VERB
cana-2889	229	10	in	in	ADP
cana-2889	229	11	the	the	DET
cana-2889	229	12	cnn	cnn	PROPN
cana-2889	229	13	-	-	PUNCT
cana-2889	229	14	am	be	AUX
cana-2889	229	15	model	model	NOUN
cana-2889	229	16	's	's	PART
cana-2889	229	17	2.3	2.3	NUM
cana-2889	229	18	million	million	NUM
cana-2889	229	19	parameters	parameter	NOUN
cana-2889	229	20	,	,	PUNCT
cana-2889	229	21	lstm	lstm	PROPN
cana-2889	229	22	's	's	PART
cana-2889	229	23	2.5	2.5	NUM
cana-2889	229	24	million	million	NUM
cana-2889	229	25	,	,	PUNCT
cana-2889	229	26	and	and	CCONJ
cana-2889	229	27	cnn	cnn	PROPN
cana-2889	229	28	's	's	PART
cana-2889	229	29	2.1	2.1	NUM
cana-2889	229	30	million	million	NUM
cana-2889	229	31	.	.	PUNCT
cana-2889	230	1	all	all	DET
cana-2889	230	2	things	thing	NOUN
cana-2889	230	3	considered	consider	VERB
cana-2889	230	4	,	,	PUNCT
cana-2889	230	5	the	the	DET
cana-2889	230	6	cnn	cnn	PROPN
cana-2889	230	7	-	-	PUNCT
cana-2889	230	8	am	am	PROPN
cana-2889	230	9	model	model	NOUN
cana-2889	230	10	offers	offer	VERB
cana-2889	230	11	a	a	DET
cana-2889	230	12	favourable	favourable	ADJ
cana-2889	230	13	balance	balance	NOUN
cana-2889	230	14	between	between	ADP
cana-2889	230	15	prediction	prediction	NOUN
cana-2889	230	16	accuracy	accuracy	NOUN
cana-2889	230	17	and	and	CCONJ
cana-2889	230	18	computational	computational	ADJ
cana-2889	230	19	economy	economy	NOUN
cana-2889	230	20	.	.	PUNCT
cana-2889	231	1	fig	fig	NOUN
cana-2889	231	2	.	.	PUNCT
cana-2889	232	1	8	8	NUM
cana-2889	232	2	:	:	PUNCT
cana-2889	232	3	forecasting	forecasting	NOUN
cana-2889	232	4	accuracy	accuracy	NOUN
cana-2889	232	5	by	by	ADP
cana-2889	232	6	season	season	NOUN
cana-2889	232	7	communications	communication	NOUN
cana-2889	232	8	on	on	ADP
cana-2889	232	9	applied	apply	VERB
cana-2889	232	10	nonlinear	nonlinear	ADJ
cana-2889	232	11	analysis	analysis	NOUN
cana-2889	232	12	issn	issn	NOUN
cana-2889	232	13	:	:	PUNCT
cana-2889	232	14	1074	1074	NUM
cana-2889	232	15	-	-	PUNCT
cana-2889	232	16	133x	133x	NUM
cana-2889	232	17	vol	vol	NOUN
cana-2889	232	18	32	32	NUM
cana-2889	232	19	no	no	NOUN
cana-2889	232	20	.	.	PUNCT
cana-2889	233	1	4s	4s	NUM
cana-2889	233	2	(	(	PUNCT
cana-2889	233	3	2025	2025	NUM
cana-2889	233	4	)	)	PUNCT
cana-2889	233	5	633	633	NUM
cana-2889	233	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	233	7	the	the	DET
cana-2889	233	8	effectiveness	effectiveness	NOUN
cana-2889	233	9	of	of	ADP
cana-2889	233	10	the	the	DET
cana-2889	233	11	suggested	suggest	VERB
cana-2889	233	12	model	model	NOUN
cana-2889	233	13	for	for	ADP
cana-2889	233	14	shortand	shortand	NOUN
cana-2889	233	15	medium	medium	ADJ
cana-2889	233	16	-	-	PUNCT
cana-2889	233	17	term	term	NOUN
cana-2889	233	18	power	power	NOUN
cana-2889	233	19	demand	demand	NOUN
cana-2889	233	20	forecasting	forecasting	NOUN
cana-2889	233	21	throughout	throughout	ADP
cana-2889	233	22	several	several	ADJ
cana-2889	233	23	seasons	season	NOUN
cana-2889	233	24	is	be	AUX
cana-2889	233	25	shown	show	VERB
cana-2889	233	26	in	in	ADP
cana-2889	233	27	the	the	DET
cana-2889	233	28	forecasting	forecasting	NOUN
cana-2889	233	29	accuracy	accuracy	NOUN
cana-2889	233	30	by	by	ADP
cana-2889	233	31	figure	figure	NOUN
cana-2889	233	32	8	8	NUM
cana-2889	233	33	in	in	ADP
cana-2889	233	34	terms	term	NOUN
cana-2889	233	35	of	of	ADP
cana-2889	233	36	rmse	rmse	NOUN
cana-2889	233	37	(	(	PUNCT
cana-2889	233	38	root	root	NOUN
cana-2889	233	39	mean	mean	VERB
cana-2889	233	40	square	square	NOUN
cana-2889	233	41	error	error	NOUN
cana-2889	233	42	)	)	PUNCT
cana-2889	233	43	and	and	CCONJ
cana-2889	233	44	mape	mape	NOUN
cana-2889	233	45	(	(	PUNCT
cana-2889	233	46	mean	mean	VERB
cana-2889	233	47	absolute	absolute	ADJ
cana-2889	233	48	percentage	percentage	NOUN
cana-2889	233	49	error	error	NOUN
cana-2889	233	50	)	)	PUNCT
cana-2889	233	51	.	.	PUNCT
cana-2889	234	1	summer	summer	NOUN
cana-2889	234	2	:	:	PUNCT
cana-2889	234	3	with	with	ADP
cana-2889	234	4	mape	mape	NOUN
cana-2889	234	5	values	value	NOUN
cana-2889	234	6	of	of	ADP
cana-2889	234	7	1.89	1.89	NUM
cana-2889	234	8	%	%	NOUN
cana-2889	234	9	and	and	CCONJ
cana-2889	234	10	2.56	2.56	NUM
cana-2889	234	11	%	%	NOUN
cana-2889	234	12	,	,	PUNCT
cana-2889	234	13	respectively	respectively	ADV
cana-2889	234	14	,	,	PUNCT
cana-2889	234	15	the	the	DET
cana-2889	234	16	model	model	NOUN
cana-2889	234	17	displays	display	VERB
cana-2889	234	18	an	an	DET
cana-2889	234	19	rmse	rmse	NOUN
cana-2889	234	20	of	of	ADP
cana-2889	234	21	10.23	10.23	NUM
cana-2889	234	22	for	for	ADP
cana-2889	234	23	the	the	DET
cana-2889	234	24	short	short	ADJ
cana-2889	234	25	term	term	NOUN
cana-2889	234	26	and	and	CCONJ
cana-2889	234	27	13.45	13.45	NUM
cana-2889	234	28	for	for	ADP
cana-2889	234	29	the	the	DET
cana-2889	234	30	medium	medium	ADJ
cana-2889	234	31	term	term	NOUN
cana-2889	234	32	.	.	PUNCT
cana-2889	235	1	this	this	PRON
cana-2889	235	2	indicates	indicate	VERB
cana-2889	235	3	a	a	DET
cana-2889	235	4	minor	minor	ADJ
cana-2889	235	5	drop	drop	NOUN
cana-2889	235	6	in	in	ADP
cana-2889	235	7	medium	medium	ADJ
cana-2889	235	8	-	-	PUNCT
cana-2889	235	9	term	term	NOUN
cana-2889	235	10	forecast	forecast	NOUN
cana-2889	235	11	accuracy	accuracy	NOUN
cana-2889	235	12	but	but	CCONJ
cana-2889	235	13	a	a	DET
cana-2889	235	14	comparatively	comparatively	ADV
cana-2889	235	15	high	high	ADJ
cana-2889	235	16	accuracy	accuracy	NOUN
cana-2889	235	17	for	for	ADP
cana-2889	235	18	short	short	ADJ
cana-2889	235	19	-	-	PUNCT
cana-2889	235	20	term	term	NOUN
cana-2889	235	21	projections	projection	NOUN
cana-2889	235	22	.	.	PUNCT
cana-2889	236	1	winter	winter	NOUN
cana-2889	236	2	:	:	PUNCT
cana-2889	236	3	during	during	ADP
cana-2889	236	4	the	the	DET
cana-2889	236	5	winter	winter	NOUN
cana-2889	236	6	,	,	PUNCT
cana-2889	236	7	the	the	DET
cana-2889	236	8	medium	medium	ADJ
cana-2889	236	9	-	-	PUNCT
cana-2889	236	10	term	term	NOUN
cana-2889	236	11	rmse	rmse	NOUN
cana-2889	236	12	drops	drop	VERB
cana-2889	236	13	to	to	ADP
cana-2889	236	14	12.34	12.34	NUM
cana-2889	236	15	and	and	CCONJ
cana-2889	236	16	the	the	DET
cana-2889	236	17	short	short	ADJ
cana-2889	236	18	-	-	PUNCT
cana-2889	236	19	term	term	NOUN
cana-2889	236	20	rmse	rmse	NOUN
cana-2889	236	21	improves	improve	VERB
cana-2889	236	22	to	to	ADP
cana-2889	236	23	9.78	9.78	NUM
cana-2889	236	24	.	.	PUNCT
cana-2889	237	1	the	the	DET
cana-2889	237	2	short	short	ADJ
cana-2889	237	3	-	-	PUNCT
cana-2889	237	4	term	term	NOUN
cana-2889	237	5	mape	mape	NOUN
cana-2889	237	6	is	be	AUX
cana-2889	237	7	1.76	1.76	NUM
cana-2889	237	8	%	%	NOUN
cana-2889	237	9	,	,	PUNCT
cana-2889	237	10	while	while	SCONJ
cana-2889	237	11	the	the	DET
cana-2889	237	12	medium	medium	ADJ
cana-2889	237	13	-	-	PUNCT
cana-2889	237	14	term	term	NOUN
cana-2889	237	15	mape	mape	NOUN
cana-2889	237	16	is	be	AUX
cana-2889	237	17	2.45	2.45	NUM
cana-2889	237	18	%	%	NOUN
cana-2889	237	19	.	.	PUNCT
cana-2889	238	1	this	this	PRON
cana-2889	238	2	suggests	suggest	VERB
cana-2889	238	3	that	that	SCONJ
cana-2889	238	4	winter	winter	NOUN
cana-2889	238	5	electricity	electricity	NOUN
cana-2889	238	6	loads	load	NOUN
cana-2889	238	7	can	can	AUX
cana-2889	238	8	be	be	AUX
cana-2889	238	9	predicted	predict	VERB
cana-2889	238	10	with	with	ADP
cana-2889	238	11	more	more	ADJ
cana-2889	238	12	precision	precision	NOUN
cana-2889	238	13	than	than	ADP
cana-2889	238	14	summer	summer	NOUN
cana-2889	238	15	ones	one	NOUN
cana-2889	238	16	.	.	PUNCT
cana-2889	239	1	monsoon	monsoon	NOUN
cana-2889	239	2	:	:	PUNCT
cana-2889	239	3	the	the	DET
cana-2889	239	4	model	model	NOUN
cana-2889	239	5	's	's	PART
cana-2889	239	6	rmse	rmse	NOUN
cana-2889	239	7	rises	rise	VERB
cana-2889	239	8	to	to	ADP
cana-2889	239	9	11.12	11.12	NUM
cana-2889	239	10	for	for	ADP
cana-2889	239	11	the	the	DET
cana-2889	239	12	short	short	ADJ
cana-2889	239	13	term	term	NOUN
cana-2889	239	14	and	and	CCONJ
cana-2889	239	15	14.12	14.12	NUM
cana-2889	239	16	for	for	ADP
cana-2889	239	17	the	the	DET
cana-2889	239	18	medium	medium	ADJ
cana-2889	239	19	term	term	NOUN
cana-2889	239	20	during	during	ADP
cana-2889	239	21	the	the	DET
cana-2889	239	22	monsoon	monsoon	NOUN
cana-2889	239	23	season	season	NOUN
cana-2889	239	24	,	,	PUNCT
cana-2889	239	25	with	with	ADP
cana-2889	239	26	corresponding	correspond	VERB
cana-2889	239	27	mapes	mape	NOUN
cana-2889	239	28	of	of	ADP
cana-2889	239	29	2.12	2.12	NUM
cana-2889	239	30	%	%	NOUN
cana-2889	239	31	and	and	CCONJ
cana-2889	239	32	2.89	2.89	NUM
cana-2889	239	33	%	%	NOUN
cana-2889	239	34	.	.	PUNCT
cana-2889	240	1	forecast	forecast	NOUN
cana-2889	240	2	errors	error	NOUN
cana-2889	240	3	are	be	AUX
cana-2889	240	4	higher	high	ADJ
cana-2889	240	5	during	during	ADP
cana-2889	240	6	this	this	DET
cana-2889	240	7	season	season	NOUN
cana-2889	240	8	,	,	PUNCT
cana-2889	240	9	suggesting	suggest	VERB
cana-2889	240	10	that	that	SCONJ
cana-2889	240	11	estimating	estimate	VERB
cana-2889	240	12	electricity	electricity	NOUN
cana-2889	240	13	consumption	consumption	NOUN
cana-2889	240	14	is	be	AUX
cana-2889	240	15	more	more	ADV
cana-2889	240	16	complicated	complicated	ADJ
cana-2889	240	17	.	.	PUNCT
cana-2889	241	1	in	in	ADP
cana-2889	241	2	conclusion	conclusion	NOUN
cana-2889	241	3	,	,	PUNCT
cana-2889	241	4	the	the	DET
cana-2889	241	5	model	model	NOUN
cana-2889	241	6	produces	produce	VERB
cana-2889	241	7	reasonably	reasonably	ADV
cana-2889	241	8	accurate	accurate	ADJ
cana-2889	241	9	shortand	shortand	NOUN
cana-2889	241	10	medium	medium	ADJ
cana-2889	241	11	-	-	PUNCT
cana-2889	241	12	term	term	NOUN
cana-2889	241	13	projections	projection	NOUN
cana-2889	241	14	and	and	CCONJ
cana-2889	241	15	works	work	VERB
cana-2889	241	16	best	well	ADV
cana-2889	241	17	in	in	ADP
cana-2889	241	18	the	the	DET
cana-2889	241	19	winter	winter	NOUN
cana-2889	241	20	.	.	PUNCT
cana-2889	242	1	fig	fig	NOUN
cana-2889	242	2	.	.	PUNCT
cana-2889	243	1	9	9	NUM
cana-2889	243	2	:	:	PUNCT
cana-2889	243	3	hybrid	hybrid	ADJ
cana-2889	243	4	model	model	NOUN
cana-2889	243	5	component	component	NOUN
cana-2889	243	6	contribution	contribution	NOUN
cana-2889	243	7	the	the	DET
cana-2889	243	8	individual	individual	ADJ
cana-2889	243	9	gains	gain	NOUN
cana-2889	243	10	in	in	ADP
cana-2889	243	11	rmse	rmse	NOUN
cana-2889	243	12	(	(	PUNCT
cana-2889	243	13	root	root	NOUN
cana-2889	243	14	mean	mean	VERB
cana-2889	243	15	square	square	NOUN
cana-2889	243	16	error	error	NOUN
cana-2889	243	17	)	)	PUNCT
cana-2889	243	18	,	,	PUNCT
cana-2889	243	19	mae	mae	PROPN
cana-2889	243	20	(	(	PUNCT
cana-2889	243	21	mean	mean	ADJ
cana-2889	243	22	absolute	absolute	ADJ
cana-2889	243	23	error	error	NOUN
cana-2889	243	24	)	)	PUNCT
cana-2889	243	25	,	,	PUNCT
cana-2889	243	26	and	and	CCONJ
cana-2889	243	27	mape	mape	NOUN
cana-2889	243	28	(	(	PUNCT
cana-2889	243	29	mean	mean	VERB
cana-2889	243	30	absolute	absolute	ADJ
cana-2889	243	31	percentage	percentage	NOUN
cana-2889	243	32	error	error	NOUN
cana-2889	243	33	)	)	PUNCT
cana-2889	243	34	that	that	SCONJ
cana-2889	243	35	each	each	PRON
cana-2889	243	36	of	of	ADP
cana-2889	243	37	the	the	DET
cana-2889	243	38	hybrid	hybrid	ADJ
cana-2889	243	39	model	model	NOUN
cana-2889	243	40	's	's	PART
cana-2889	243	41	cnn	cnn	PROPN
cana-2889	243	42	and	and	CCONJ
cana-2889	243	43	attention	attention	NOUN
cana-2889	243	44	mechanism	mechanism	NOUN
cana-2889	243	45	components	component	NOUN
cana-2889	243	46	made	make	VERB
cana-2889	243	47	during	during	ADP
cana-2889	243	48	the	the	DET
cana-2889	243	49	forecasting	forecasting	NOUN
cana-2889	243	50	process	process	NOUN
cana-2889	243	51	are	be	AUX
cana-2889	243	52	shown	show	VERB
cana-2889	243	53	in	in	ADP
cana-2889	243	54	the	the	DET
cana-2889	243	55	hybrid	hybrid	ADJ
cana-2889	243	56	model	model	NOUN
cana-2889	243	57	component	component	NOUN
cana-2889	243	58	contribution	contribution	NOUN
cana-2889	243	59	in	in	ADP
cana-2889	243	60	figure	figure	NOUN
cana-2889	243	61	9	9	NUM
cana-2889	243	62	.	.	PUNCT
cana-2889	244	1	cnn	cnn	PROPN
cana-2889	244	2	:	:	PUNCT
cana-2889	244	3	the	the	DET
cana-2889	244	4	cnn	cnn	PROPN
cana-2889	244	5	component	component	NOUN
cana-2889	244	6	improved	improve	VERB
cana-2889	244	7	the	the	DET
cana-2889	244	8	rmse	rmse	NOUN
cana-2889	244	9	by	by	ADP
cana-2889	244	10	10.23	10.23	NUM
cana-2889	244	11	%	%	NOUN
cana-2889	244	12	,	,	PUNCT
cana-2889	244	13	the	the	DET
cana-2889	244	14	mae	mae	PROPN
cana-2889	244	15	by	by	ADP
cana-2889	244	16	8.12	8.12	NUM
cana-2889	244	17	%	%	NOUN
cana-2889	244	18	,	,	PUNCT
cana-2889	244	19	and	and	CCONJ
cana-2889	244	20	the	the	DET
cana-2889	244	21	mape	mape	NOUN
cana-2889	244	22	by	by	ADP
cana-2889	244	23	7.45	7.45	NUM
cana-2889	244	24	%	%	NOUN
cana-2889	244	25	.	.	PUNCT
cana-2889	245	1	these	these	DET
cana-2889	245	2	enhancements	enhancement	NOUN
cana-2889	245	3	demonstrate	demonstrate	VERB
cana-2889	245	4	cnn	cnn	PROPN
cana-2889	245	5	's	's	PART
cana-2889	245	6	capacity	capacity	NOUN
cana-2889	245	7	to	to	PART
cana-2889	245	8	identify	identify	VERB
cana-2889	245	9	intricate	intricate	ADJ
cana-2889	245	10	patterns	pattern	NOUN
cana-2889	245	11	and	and	CCONJ
cana-2889	245	12	draw	draw	VERB
cana-2889	245	13	out	out	ADP
cana-2889	245	14	characteristics	characteristic	NOUN
cana-2889	245	15	from	from	ADP
cana-2889	245	16	the	the	DET
cana-2889	245	17	input	input	NOUN
cana-2889	245	18	data	datum	NOUN
cana-2889	245	19	,	,	PUNCT
cana-2889	245	20	improving	improve	VERB
cana-2889	245	21	forecast	forecast	NOUN
cana-2889	245	22	accuracy	accuracy	NOUN
cana-2889	245	23	.	.	PUNCT
cana-2889	246	1	attention	attention	NOUN
cana-2889	246	2	mechanism	mechanism	NOUN
cana-2889	246	3	:	:	PUNCT
cana-2889	246	4	with	with	ADP
cana-2889	246	5	rmse	rmse	NOUN
cana-2889	246	6	increasing	increase	VERB
cana-2889	246	7	by	by	ADP
cana-2889	246	8	12.34	12.34	NUM
cana-2889	246	9	%	%	NOUN
cana-2889	246	10	,	,	PUNCT
cana-2889	246	11	mae	mae	PROPN
cana-2889	246	12	by	by	ADP
cana-2889	246	13	10.56	10.56	NUM
cana-2889	246	14	%	%	NOUN
cana-2889	246	15	,	,	PUNCT
cana-2889	246	16	and	and	CCONJ
cana-2889	246	17	mape	mape	NOUN
cana-2889	246	18	by	by	ADP
cana-2889	246	19	9.78	9.78	NUM
cana-2889	246	20	%	%	NOUN
cana-2889	246	21	,	,	PUNCT
cana-2889	246	22	the	the	DET
cana-2889	246	23	attention	attention	NOUN
cana-2889	246	24	mechanism	mechanism	NOUN
cana-2889	246	25	yielded	yield	VERB
cana-2889	246	26	even	even	ADV
cana-2889	246	27	more	more	ADV
cana-2889	246	28	notable	notable	ADJ
cana-2889	246	29	gains	gain	NOUN
cana-2889	246	30	.	.	PUNCT
cana-2889	247	1	this	this	PRON
cana-2889	247	2	demonstrates	demonstrate	VERB
cana-2889	247	3	that	that	SCONJ
cana-2889	247	4	the	the	DET
cana-2889	247	5	attention	attention	NOUN
cana-2889	247	6	mechanism	mechanism	NOUN
cana-2889	247	7	is	be	AUX
cana-2889	247	8	successful	successful	ADJ
cana-2889	247	9	in	in	ADP
cana-2889	247	10	concentrating	concentrate	VERB
cana-2889	247	11	on	on	ADP
cana-2889	247	12	significant	significant	ADJ
cana-2889	247	13	data	datum	NOUN
cana-2889	247	14	points	point	NOUN
cana-2889	247	15	,	,	PUNCT
cana-2889	247	16	which	which	PRON
cana-2889	247	17	helps	help	VERB
cana-2889	247	18	to	to	PART
cana-2889	247	19	improve	improve	VERB
cana-2889	247	20	predictions	prediction	NOUN
cana-2889	247	21	by	by	ADP
cana-2889	247	22	giving	give	VERB
cana-2889	247	23	greater	great	ADJ
cana-2889	247	24	weight	weight	NOUN
cana-2889	247	25	to	to	ADP
cana-2889	247	26	the	the	DET
cana-2889	247	27	most	most	ADV
cana-2889	247	28	significant	significant	ADJ
cana-2889	247	29	aspects	aspect	NOUN
cana-2889	247	30	.	.	PUNCT
cana-2889	248	1	communications	communication	NOUN
cana-2889	248	2	on	on	ADP
cana-2889	248	3	applied	apply	VERB
cana-2889	248	4	nonlinear	nonlinear	ADJ
cana-2889	248	5	analysis	analysis	NOUN
cana-2889	248	6	issn	issn	NOUN
cana-2889	248	7	:	:	PUNCT
cana-2889	248	8	1074	1074	NUM
cana-2889	248	9	-	-	PUNCT
cana-2889	248	10	133x	133x	NUM
cana-2889	248	11	vol	vol	NOUN
cana-2889	248	12	32	32	NUM
cana-2889	248	13	no	no	NOUN
cana-2889	248	14	.	.	PUNCT
cana-2889	249	1	4s	4s	NUM
cana-2889	249	2	(	(	PUNCT
cana-2889	249	3	2025	2025	NUM
cana-2889	249	4	)	)	PUNCT
cana-2889	249	5	634	634	NUM
cana-2889	249	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2889	249	7	fig	fig	NOUN
cana-2889	249	8	.	.	PUNCT
cana-2889	250	1	10	10	NUM
cana-2889	250	2	:	:	PUNCT
cana-2889	250	3	high	high	ADJ
cana-2889	250	4	-	-	PUNCT
cana-2889	250	5	demand	demand	NOUN
cana-2889	250	6	scenario	scenario	NOUN
cana-2889	250	7	prediction	prediction	NOUN
cana-2889	250	8	the	the	DET
cana-2889	250	9	case	case	NOUN
cana-2889	250	10	study	study	NOUN
cana-2889	250	11	:	:	PUNCT
cana-2889	250	12	situation	situation	NOUN
cana-2889	250	13	with	with	ADP
cana-2889	250	14	high	high	ADJ
cana-2889	250	15	demand	demand	NOUN
cana-2889	250	16	the	the	DET
cana-2889	250	17	model	model	NOUN
cana-2889	250	18	's	's	PART
cana-2889	250	19	ability	ability	NOUN
cana-2889	250	20	to	to	PART
cana-2889	250	21	forecast	forecast	VERB
cana-2889	250	22	electricity	electricity	NOUN
cana-2889	250	23	load	load	NOUN
cana-2889	250	24	during	during	ADP
cana-2889	250	25	peak	peak	NOUN
cana-2889	250	26	demand	demand	NOUN
cana-2889	250	27	times	time	NOUN
cana-2889	250	28	of	of	ADP
cana-2889	250	29	the	the	DET
cana-2889	250	30	day	day	NOUN
cana-2889	250	31	is	be	AUX
cana-2889	250	32	seen	see	VERB
cana-2889	250	33	in	in	ADP
cana-2889	250	34	the	the	DET
cana-2889	250	35	prediction	prediction	NOUN
cana-2889	250	36	table	table	NOUN
cana-2889	250	37	.	.	PUNCT
cana-2889	251	1	at	at	ADP
cana-2889	251	2	10:00	10:00	NUM
cana-2889	251	3	am	am	NOUN
cana-2889	251	4	,	,	PUNCT
cana-2889	251	5	2:00	2:00	NUM
cana-2889	251	6	pm	pm	NOUN
cana-2889	251	7	,	,	PUNCT
cana-2889	251	8	and	and	CCONJ
cana-2889	251	9	6:00	6:00	NUM
cana-2889	251	10	pm	pm	NOUN
cana-2889	251	11	,	,	PUNCT
cana-2889	251	12	it	it	PRON
cana-2889	251	13	displays	display	VERB
cana-2889	251	14	the	the	DET
cana-2889	251	15	actual	actual	ADJ
cana-2889	251	16	and	and	CCONJ
cana-2889	251	17	anticipated	anticipated	ADJ
cana-2889	251	18	loads	load	NOUN
cana-2889	251	19	in	in	ADP
cana-2889	251	20	megawatts	megawatt	NOUN
cana-2889	251	21	(	(	PUNCT
cana-2889	251	22	mw	mw	NOUN
cana-2889	251	23	)	)	PUNCT
cana-2889	251	24	.	.	PUNCT
cana-2889	252	1	the	the	DET
cana-2889	252	2	model	model	NOUN
cana-2889	252	3	predicted	predict	VERB
cana-2889	252	4	445	445	NUM
cana-2889	252	5	mw	mw	NOUN
cana-2889	252	6	at	at	ADP
cana-2889	252	7	10:00	10:00	NUM
cana-2889	252	8	am	am	NOUN
cana-2889	252	9	,	,	PUNCT
cana-2889	252	10	but	but	CCONJ
cana-2889	252	11	the	the	DET
cana-2889	252	12	actual	actual	ADJ
cana-2889	252	13	load	load	NOUN
cana-2889	252	14	was	be	AUX
cana-2889	252	15	450	450	NUM
cana-2889	252	16	mw	mw	NOUN
cana-2889	252	17	.	.	PUNCT
cana-2889	253	1	this	this	PRON
cana-2889	253	2	led	lead	VERB
cana-2889	253	3	to	to	ADP
cana-2889	253	4	a	a	DET
cana-2889	253	5	5	5	NUM
cana-2889	253	6	mw	mw	X
cana-2889	253	7	inaccuracy	inaccuracy	NOUN
cana-2889	253	8	and	and	CCONJ
cana-2889	253	9	a	a	DET
cana-2889	253	10	1.11	1.11	NUM
cana-2889	253	11	%	%	NOUN
cana-2889	253	12	mape	mape	NOUN
cana-2889	253	13	(	(	PUNCT
cana-2889	253	14	mean	mean	VERB
cana-2889	253	15	absolute	absolute	ADJ
cana-2889	253	16	percentage	percentage	NOUN
cana-2889	253	17	inaccuracy	inaccuracy	NOUN
cana-2889	253	18	)	)	PUNCT
cana-2889	253	19	.	.	PUNCT
cana-2889	254	1	similarly	similarly	ADV
cana-2889	254	2	,	,	PUNCT
cana-2889	254	3	the	the	DET
cana-2889	254	4	model	model	NOUN
cana-2889	254	5	projected	project	VERB
cana-2889	254	6	a	a	DET
cana-2889	254	7	load	load	NOUN
cana-2889	254	8	of	of	ADP
cana-2889	254	9	515	515	NUM
cana-2889	254	10	mw	mw	NOUN
cana-2889	254	11	at	at	ADP
cana-2889	254	12	2:00	2:00	NUM
cana-2889	254	13	pm	pm	NOUN
cana-2889	254	14	,	,	PUNCT
cana-2889	254	15	which	which	PRON
cana-2889	254	16	was	be	AUX
cana-2889	254	17	quite	quite	ADV
cana-2889	254	18	close	close	ADJ
cana-2889	254	19	to	to	ADP
cana-2889	254	20	the	the	DET
cana-2889	254	21	actual	actual	ADJ
cana-2889	254	22	load	load	NOUN
cana-2889	254	23	of	of	ADP
cana-2889	254	24	520	520	NUM
cana-2889	254	25	mw	mw	NOUN
cana-2889	254	26	.	.	PROPN
cana-2889	255	1	this	this	PRON
cana-2889	255	2	resulted	result	VERB
cana-2889	255	3	in	in	ADP
cana-2889	255	4	a	a	DET
cana-2889	255	5	mape	mape	NOUN
cana-2889	255	6	of	of	ADP
cana-2889	255	7	0.96	0.96	NUM
cana-2889	255	8	%	%	NOUN
cana-2889	255	9	and	and	CCONJ
cana-2889	255	10	a	a	DET
cana-2889	255	11	tiny	tiny	ADJ
cana-2889	255	12	error	error	NOUN
cana-2889	255	13	of	of	ADP
cana-2889	255	14	5	5	NUM
cana-2889	255	15	mw	mw	X
cana-2889	255	16	.	.	PUNCT
cana-2889	256	1	the	the	DET
cana-2889	256	2	forecast	forecast	NOUN
cana-2889	256	3	for	for	ADP
cana-2889	256	4	6:00	6:00	NUM
cana-2889	256	5	pm	pm	NOUN
cana-2889	256	6	was	be	AUX
cana-2889	256	7	marginally	marginally	ADV
cana-2889	256	8	less	less	ADV
cana-2889	256	9	accurate	accurate	ADJ
cana-2889	256	10	,	,	PUNCT
cana-2889	256	11	with	with	ADP
cana-2889	256	12	a	a	DET
cana-2889	256	13	mape	mape	NOUN
cana-2889	256	14	of	of	ADP
cana-2889	256	15	1.67	1.67	NUM
cana-2889	256	16	%	%	NOUN
cana-2889	256	17	and	and	CCONJ
cana-2889	256	18	an	an	DET
cana-2889	256	19	inaccuracy	inaccuracy	NOUN
cana-2889	256	20	of	of	ADP
cana-2889	256	21	10	10	NUM
cana-2889	256	22	mw	mw	NOUN
cana-2889	256	23	.	.	PUNCT
cana-2889	257	1	these	these	DET
cana-2889	257	2	findings	finding	NOUN
cana-2889	257	3	highlight	highlight	VERB
cana-2889	257	4	the	the	DET
cana-2889	257	5	hybrid	hybrid	ADJ
cana-2889	257	6	forecasting	forecasting	NOUN
cana-2889	257	7	model	model	NOUN
cana-2889	257	8	's	's	PART
cana-2889	257	9	resilience	resilience	NOUN
cana-2889	257	10	in	in	ADP
cana-2889	257	11	practical	practical	ADJ
cana-2889	257	12	situations	situation	NOUN
cana-2889	257	13	and	and	CCONJ
cana-2889	257	14	demonstrate	demonstrate	VERB
cana-2889	257	15	the	the	DET
cana-2889	257	16	model	model	NOUN
cana-2889	257	17	's	's	PART
cana-2889	257	18	capacity	capacity	NOUN
cana-2889	257	19	to	to	PART
cana-2889	257	20	predict	predict	VERB
cana-2889	257	21	load	load	NOUN
cana-2889	257	22	with	with	ADP
cana-2889	257	23	little	little	ADJ
cana-2889	257	24	inaccuracy	inaccuracy	NOUN
cana-2889	257	25	,	,	PUNCT
cana-2889	257	26	particularly	particularly	ADV
cana-2889	257	27	during	during	ADP
cana-2889	257	28	periods	period	NOUN
cana-2889	257	29	of	of	ADP
cana-2889	257	30	high	high	ADJ
cana-2889	257	31	demand	demand	NOUN
cana-2889	257	32	in	in	ADP
cana-2889	257	33	figure	figure	NOUN
cana-2889	257	34	10	10	NUM
cana-2889	257	35	.	.	PUNCT
cana-2889	258	1	v.	v.	ADP
cana-2889	258	2	conclusion	conclusion	NOUN
cana-2889	258	3	to	to	PART
cana-2889	258	4	sum	sum	VERB
cana-2889	258	5	up	up	ADP
cana-2889	258	6	,	,	PUNCT
cana-2889	258	7	our	our	PRON
cana-2889	258	8	study	study	NOUN
cana-2889	258	9	's	's	PART
cana-2889	258	10	hybrid	hybrid	ADJ
cana-2889	258	11	cnn	cnn	PROPN
cana-2889	258	12	-	-	PUNCT
cana-2889	258	13	am	am	NOUN
cana-2889	258	14	model	model	NOUN
cana-2889	258	15	greatly	greatly	ADV
cana-2889	258	16	improves	improve	VERB
cana-2889	258	17	the	the	DET
cana-2889	258	18	precision	precision	NOUN
cana-2889	258	19	and	and	CCONJ
cana-2889	258	20	comprehensibility	comprehensibility	NOUN
cana-2889	258	21	of	of	ADP
cana-2889	258	22	shortand	shortand	NOUN
cana-2889	258	23	medium	medium	ADJ
cana-2889	258	24	-	-	PUNCT
cana-2889	258	25	term	term	NOUN
cana-2889	258	26	power	power	NOUN
cana-2889	258	27	demand	demand	NOUN
cana-2889	258	28	and	and	CCONJ
cana-2889	258	29	price	price	NOUN
cana-2889	258	30	forecasts	forecast	NOUN
cana-2889	258	31	.	.	PUNCT
cana-2889	259	1	the	the	DET
cana-2889	259	2	model	model	NOUN
cana-2889	259	3	efficiently	efficiently	ADV
cana-2889	259	4	recovers	recover	VERB
cana-2889	259	5	important	important	ADJ
cana-2889	259	6	features	feature	NOUN
cana-2889	259	7	from	from	ADP
cana-2889	259	8	time	time	NOUN
cana-2889	259	9	-	-	PUNCT
cana-2889	259	10	series	series	NOUN
cana-2889	259	11	data	datum	NOUN
cana-2889	259	12	while	while	SCONJ
cana-2889	259	13	reducing	reduce	VERB
cana-2889	259	14	noise	noise	NOUN
cana-2889	259	15	by	by	ADP
cana-2889	259	16	fusing	fuse	VERB
cana-2889	259	17	the	the	DET
cana-2889	259	18	convolutional	convolutional	ADJ
cana-2889	259	19	neural	neural	ADJ
cana-2889	259	20	network	network	NOUN
cana-2889	259	21	-	-	PUNCT
cana-2889	259	22	based	base	VERB
cana-2889	259	23	attention	attention	NOUN
cana-2889	259	24	mechanism	mechanism	NOUN
cana-2889	259	25	(	(	PUNCT
cana-2889	259	26	cnn	cnn	PROPN
cana-2889	259	27	-	-	PUNCT
cana-2889	259	28	am	be	AUX
cana-2889	259	29	)	)	PUNCT
cana-2889	259	30	with	with	ADP
cana-2889	259	31	the	the	DET
cana-2889	259	32	empirical	empirical	ADJ
cana-2889	259	33	mode	mode	NOUN
cana-2889	259	34	decomposition	decomposition	NOUN
cana-2889	259	35	(	(	PUNCT
cana-2889	259	36	eemd	eemd	NOUN
cana-2889	259	37	)	)	PUNCT
cana-2889	259	38	technique	technique	NOUN
cana-2889	259	39	.	.	PUNCT
cana-2889	260	1	the	the	DET
cana-2889	260	2	model	model	NOUN
cana-2889	260	3	's	's	PART
cana-2889	260	4	capacity	capacity	NOUN
cana-2889	260	5	to	to	PART
cana-2889	260	6	concentrate	concentrate	VERB
cana-2889	260	7	on	on	ADP
cana-2889	260	8	the	the	DET
cana-2889	260	9	most	most	ADV
cana-2889	260	10	pertinent	pertinent	ADJ
cana-2889	260	11	data	data	NOUN
cana-2889	260	12	elements	element	NOUN
cana-2889	260	13	is	be	AUX
cana-2889	260	14	further	far	ADV
cana-2889	260	15	enhanced	enhance	VERB
cana-2889	260	16	by	by	ADP
cana-2889	260	17	the	the	DET
cana-2889	260	18	attention	attention	NOUN
cana-2889	260	19	mechanism	mechanism	NOUN
cana-2889	260	20	,	,	PUNCT
cana-2889	260	21	which	which	PRON
cana-2889	260	22	enhances	enhance	VERB
cana-2889	260	23	prediction	prediction	NOUN
cana-2889	260	24	performance	performance	NOUN
cana-2889	260	25	across	across	ADP
cana-2889	260	26	a	a	DET
cana-2889	260	27	range	range	NOUN
cana-2889	260	28	of	of	ADP
cana-2889	260	29	datasets	dataset	NOUN
cana-2889	260	30	.	.	PUNCT
cana-2889	261	1	with	with	ADP
cana-2889	261	2	significant	significant	ADJ
cana-2889	261	3	decreases	decrease	NOUN
cana-2889	261	4	in	in	ADP
cana-2889	261	5	rmse	rmse	PROPN
cana-2889	261	6	,	,	PUNCT
cana-2889	261	7	mae	mae	PROPN
cana-2889	261	8	,	,	PUNCT
cana-2889	261	9	and	and	CCONJ
cana-2889	261	10	mape	mape	NOUN
cana-2889	261	11	,	,	PUNCT
cana-2889	261	12	the	the	DET
cana-2889	261	13	results	result	NOUN
cana-2889	261	14	show	show	VERB
cana-2889	261	15	the	the	DET
cana-2889	261	16	model	model	NOUN
cana-2889	261	17	's	's	PART
cana-2889	261	18	superior	superior	ADJ
cana-2889	261	19	accuracy	accuracy	NOUN
cana-2889	261	20	when	when	SCONJ
cana-2889	261	21	compared	compare	VERB
cana-2889	261	22	to	to	ADP
cana-2889	261	23	conventional	conventional	ADJ
cana-2889	261	24	cnn	cnn	PROPN
cana-2889	261	25	,	,	PUNCT
cana-2889	261	26	lstm	lstm	PROPN
cana-2889	261	27	,	,	PUNCT
cana-2889	261	28	and	and	CCONJ
cana-2889	261	29	cnn	cnn	PROPN
cana-2889	261	30	-	-	PUNCT
cana-2889	261	31	lstm	lstm	ADJ
cana-2889	261	32	models	model	NOUN
cana-2889	261	33	.	.	PUNCT
cana-2889	262	1	additionally	additionally	ADV
cana-2889	262	2	,	,	PUNCT
cana-2889	262	3	the	the	DET
cana-2889	262	4	model	model	NOUN
cana-2889	262	5	has	have	VERB
cana-2889	262	6	good	good	ADJ
cana-2889	262	7	performance	performance	NOUN
cana-2889	262	8	throughout	throughout	ADP
cana-2889	262	9	the	the	DET
cana-2889	262	10	year	year	NOUN
cana-2889	262	11	,	,	PUNCT
cana-2889	262	12	with	with	ADP
cana-2889	262	13	the	the	DET
cana-2889	262	14	maximum	maximum	ADJ
cana-2889	262	15	accuracy	accuracy	NOUN
cana-2889	262	16	noted	note	VERB
cana-2889	262	17	in	in	ADP
cana-2889	262	18	the	the	DET
cana-2889	262	19	winter	winter	NOUN
cana-2889	262	20	.	.	PUNCT
cana-2889	263	1	the	the	DET
cana-2889	263	2	hybrid	hybrid	ADJ
cana-2889	263	3	model	model	NOUN
cana-2889	263	4	's	's	PART
cana-2889	263	5	computational	computational	ADJ
cana-2889	263	6	efficiency	efficiency	NOUN
cana-2889	263	7	also	also	ADV
cana-2889	263	8	balances	balance	VERB
cana-2889	263	9	resource	resource	NOUN
cana-2889	263	10	consumption	consumption	NOUN
cana-2889	263	11	and	and	CCONJ
cana-2889	263	12	performance	performance	NOUN
cana-2889	263	13	,	,	PUNCT
cana-2889	263	14	which	which	PRON
cana-2889	263	15	makes	make	VERB
cana-2889	263	16	it	it	PRON
cana-2889	263	17	a	a	DET
cana-2889	263	18	good	good	ADJ
cana-2889	263	19	option	option	NOUN
cana-2889	263	20	for	for	ADP
cana-2889	263	21	real	real	ADJ
cana-2889	263	22	-	-	PUNCT
cana-2889	263	23	time	time	NOUN
cana-2889	263	24	applications	application	NOUN
cana-2889	263	25	.	.	PUNCT
cana-2889	264	1	all	all	DET
cana-2889	264	2	things	thing	NOUN
cana-2889	264	3	considered	consider	VERB
cana-2889	264	4	,	,	PUNCT
cana-2889	264	5	this	this	DET
cana-2889	264	6	study	study	NOUN
cana-2889	264	7	aids	aid	NOUN
cana-2889	264	8	in	in	ADP
cana-2889	264	9	the	the	DET
cana-2889	264	10	creation	creation	NOUN
cana-2889	264	11	of	of	ADP
cana-2889	264	12	reliable	reliable	ADJ
cana-2889	264	13	forecasting	forecasting	NOUN
cana-2889	264	14	instruments	instrument	NOUN
cana-2889	264	15	for	for	ADP
cana-2889	264	16	the	the	DET
cana-2889	264	17	energy	energy	NOUN
cana-2889	264	18	industry	industry	NOUN
cana-2889	264	19	,	,	PUNCT
cana-2889	264	20	providing	provide	VERB
cana-2889	264	21	insightful	insightful	ADJ
cana-2889	264	22	information	information	NOUN
cana-2889	264	23	to	to	PART
cana-2889	264	24	help	help	VERB
cana-2889	264	25	decision	decision	NOUN
cana-2889	264	26	-	-	PUNCT
cana-2889	264	27	makers	maker	NOUN
cana-2889	264	28	manage	manage	VERB
cana-2889	264	29	risks	risk	NOUN
cana-2889	264	30	and	and	CCONJ
cana-2889	264	31	maximise	maximise	NOUN
cana-2889	264	32	resources	resource	NOUN
cana-2889	264	33	.	.	PUNCT
cana-2889	265	1	in	in	ADP
cana-2889	265	2	order	order	NOUN
cana-2889	265	3	to	to	PART
cana-2889	265	4	further	far	ADV
cana-2889	265	5	improve	improve	VERB
cana-2889	265	6	forecasting	forecasting	NOUN
cana-2889	265	7	accuracy	accuracy	NOUN
cana-2889	265	8	,	,	PUNCT
cana-2889	265	9	future	future	ADJ
cana-2889	265	10	research	research	NOUN
cana-2889	265	11	could	could	AUX
cana-2889	265	12	concentrate	concentrate	VERB
cana-2889	265	13	on	on	ADP
cana-2889	265	14	dynamic	dynamic	ADJ
cana-2889	265	15	model	model	NOUN
cana-2889	265	16	updates	update	NOUN
cana-2889	265	17	,	,	PUNCT
cana-2889	265	18	resilience	resilience	NOUN
cana-2889	265	19	to	to	ADP
cana-2889	265	20	market	market	NOUN
cana-2889	265	21	fluctuations	fluctuation	NOUN
cana-2889	265	22	,	,	PUNCT
cana-2889	265	23	and	and	CCONJ
cana-2889	265	24	incorporating	incorporate	VERB
cana-2889	265	25	external	external	ADJ
cana-2889	265	26	influences	influence	NOUN
cana-2889	265	27	.	.	PUNCT
cana-2889	266	1	vi	vi	X
cana-2889	266	2	.	.	NOUN
cana-2889	266	3	references	reference	NOUN
cana-2889	266	4	[	[	X
cana-2889	266	5	1	1	NUM
cana-2889	266	6	]	]	PUNCT
cana-2889	266	7	ahmed	ahmed	PROPN
cana-2889	266	8	,	,	PUNCT
cana-2889	266	9	m.	m.	NOUN
cana-2889	266	10	,	,	PUNCT
cana-2889	266	11	khan	khan	PROPN
cana-2889	266	12	,	,	PUNCT
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cana-2889	266	21	)	)	PUNCT
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cana-2889	267	14	.	.	PUNCT
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cana-2889	268	7	)	)	PUNCT
cana-2889	268	8	,	,	PUNCT
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cana-2889	268	12	.	.	PUNCT
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cana-2889	269	7	:	:	PUNCT
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cana-2889	269	9	-	-	PUNCT
cana-2889	269	10	133x	133x	NUM
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cana-2889	269	12	32	32	NUM
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cana-2889	269	14	.	.	PUNCT
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cana-2889	270	4	)	)	PUNCT
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cana-2889	271	2	2	2	NUM
cana-2889	271	3	]	]	X
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cana-2889	271	14	,	,	PUNCT
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cana-2889	271	17	2020	2020	NUM
cana-2889	271	18	)	)	PUNCT
cana-2889	271	19	.	.	PUNCT
cana-2889	272	1	electricity	electricity	NOUN
cana-2889	272	2	load	load	NOUN
cana-2889	272	3	forecasting	forecasting	NOUN
cana-2889	272	4	using	use	VERB
cana-2889	272	5	cnn	cnn	PROPN
cana-2889	272	6	and	and	CCONJ
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cana-2889	272	8	learning	learning	NOUN
cana-2889	272	9	.	.	PUNCT
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cana-2889	273	2	informatics	informatic	NOUN
cana-2889	273	3	journal	journal	NOUN
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cana-2889	273	5	3(2	3(2	NUM
cana-2889	273	6	)	)	PUNCT
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cana-2889	273	9	-	-	SYM
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cana-2889	273	11	.	.	PUNCT
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cana-2889	274	2	3	3	NUM
cana-2889	274	3	]	]	X
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cana-2889	274	5	,	,	PUNCT
cana-2889	274	6	y.	y.	PROPN
cana-2889	274	7	,	,	PUNCT
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cana-2889	274	17	2021	2021	NUM
cana-2889	274	18	)	)	PUNCT
cana-2889	274	19	.	.	PUNCT
cana-2889	275	1	hybrid	hybrid	ADJ
cana-2889	275	2	cnn	cnn	PROPN
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cana-2889	275	5	mechanism	mechanism	NOUN
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cana-2889	275	10	.	.	PUNCT
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cana-2889	276	2	transactions	transaction	NOUN
cana-2889	276	3	on	on	ADP
cana-2889	276	4	power	power	NOUN
cana-2889	276	5	systems	system	NOUN
cana-2889	276	6	,	,	PUNCT
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cana-2889	276	8	)	)	PUNCT
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cana-2889	276	11	-	-	SYM
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cana-2889	276	13	.	.	PUNCT
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cana-2889	278	4	am	am	PROPN
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cana-2889	278	14	.	.	PUNCT
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cana-2889	285	9	.	.	PUNCT
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cana-2889	286	2	7	7	X
cana-2889	286	3	]	]	X
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cana-2889	286	28	:	:	PUNCT
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cana-2889	287	9	.	.	PUNCT
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cana-2889	290	8	)	)	PUNCT
cana-2889	290	9	,	,	PUNCT
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cana-2889	290	11	-	-	SYM
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cana-2889	291	19	.	.	PUNCT
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cana-2889	293	5	)	)	PUNCT
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cana-2889	297	18	)	)	PUNCT
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cana-2889	298	7	load	load	NOUN
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cana-2889	298	12	.	.	PUNCT
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cana-2889	299	6	)	)	PUNCT
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cana-2889	300	2	12	12	NUM
cana-2889	300	3	]	]	X
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cana-2889	300	18	)	)	PUNCT
cana-2889	300	19	.	.	PUNCT
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cana-2889	301	11	.	.	PUNCT
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cana-2889	302	5	1(1	1(1	NUM
cana-2889	302	6	)	)	PUNCT
cana-2889	302	7	,	,	PUNCT
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cana-2889	302	9	-	-	SYM
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cana-2889	302	11	.	.	PUNCT
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cana-2889	303	2	13	13	NUM
cana-2889	303	3	]	]	X
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cana-2889	303	5	,	,	PUNCT
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cana-2889	304	3	-	-	PUNCT
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cana-2889	304	6	load	load	NOUN
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cana-2889	304	12	.	.	PUNCT
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cana-2889	305	2	journal	journal	PROPN
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cana-2889	305	9	)	)	PUNCT
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cana-2889	306	18	)	)	PUNCT
cana-2889	306	19	.	.	PUNCT
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cana-2889	307	12	.	.	PUNCT
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cana-2889	308	6	)	)	PUNCT
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cana-2889	308	9	-	-	SYM
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cana-2889	308	11	.	.	PUNCT
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cana-2889	310	11	.	.	PUNCT
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cana-2889	312	18	)	)	PUNCT
cana-2889	312	19	.	.	PUNCT
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cana-2889	314	10	-	-	SYM
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cana-2889	315	11	,	,	PUNCT
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cana-2889	317	11	-	-	SYM
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cana-2889	317	13	.	.	PUNCT
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cana-2889	318	5	,	,	PUNCT
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