id	sid	tid	token	lemma	pos
cuesj-1638	1	1	tx_1	tx_1	PROPN
cuesj-1638	1	2	~	~	X
cuesj-1638	1	3	abs	ab	NOUN
cuesj-1638	1	4	:	:	PUNCT
cuesj-1638	1	5	at	at	ADP
cuesj-1638	1	6	/	/	SYM
cuesj-1638	1	7	add	add	VERB
cuesj-1638	1	8	:	:	PUNCT
cuesj-1638	1	9	tx_2	tx_2	PROPN
cuesj-1638	1	10	~	~	NOUN
cuesj-1638	1	11	abs	ab	NOUN
cuesj-1638	1	12	:	:	PUNCT
cuesj-1638	1	13	at	at	ADP
cuesj-1638	1	14	117	117	NUM
cuesj-1638	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1638	1	16	cuesj	cuesj	NOUN
cuesj-1638	1	17	2025	2025	NUM
cuesj-1638	1	18	,	,	PUNCT
cuesj-1638	1	19	9	9	NUM
cuesj-1638	1	20	(	(	PUNCT
cuesj-1638	1	21	2	2	NUM
cuesj-1638	1	22	):	):	PUNCT
cuesj-1638	1	23	117	117	NUM
cuesj-1638	1	24	-	-	SYM
cuesj-1638	1	25	124	124	NUM
cuesj-1638	1	26	research	research	NOUN
cuesj-1638	1	27	article	article	NOUN
cuesj-1638	1	28	a	a	DET
cuesj-1638	1	29	hybrid	hybrid	ADJ
cuesj-1638	1	30	fuzzy	fuzzy	ADJ
cuesj-1638	1	31	-	-	PUNCT
cuesj-1638	1	32	kalman	kalman	NOUN
cuesj-1638	1	33	filtering	filter	VERB
cuesj-1638	1	34	approach	approach	NOUN
cuesj-1638	1	35	for	for	ADP
cuesj-1638	1	36	short	short	ADJ
cuesj-1638	1	37	-	-	PUNCT
cuesj-1638	1	38	term	term	NOUN
cuesj-1638	1	39	electricity	electricity	NOUN
cuesj-1638	1	40	load	load	NOUN
cuesj-1638	1	41	forecasting	forecasting	NOUN
cuesj-1638	1	42	in	in	ADP
cuesj-1638	1	43	the	the	DET
cuesj-1638	1	44	kurdistan	kurdistan	ADJ
cuesj-1638	1	45	region	region	NOUN
cuesj-1638	1	46	of	of	ADP
cuesj-1638	1	47	iraq	iraq	PROPN
cuesj-1638	1	48	rebaz	rebaz	PROPN
cuesj-1638	1	49	o.	o.	PROPN
cuesj-1638	1	50	yahya	yahya	PROPN
cuesj-1638	1	51	,	,	PUNCT
cuesj-1638	1	52	kurdistan	kurdistan	PROPN
cuesj-1638	1	53	i.	i.	PROPN
cuesj-1638	1	54	mawlood	mawlood	PROPN
cuesj-1638	1	55	department	department	PROPN
cuesj-1638	1	56	of	of	ADP
cuesj-1638	1	57	statistics	statistic	NOUN
cuesj-1638	1	58	and	and	CCONJ
cuesj-1638	1	59	informatics	informatic	NOUN
cuesj-1638	1	60	,	,	PUNCT
cuesj-1638	1	61	college	college	NOUN
cuesj-1638	1	62	of	of	ADP
cuesj-1638	1	63	administration	administration	NOUN
cuesj-1638	1	64	and	and	CCONJ
cuesj-1638	1	65	economics	economic	NOUN
cuesj-1638	1	66	,	,	PUNCT
cuesj-1638	1	67	salahaddin	salahaddin	VERB
cuesj-1638	1	68	university	university	NOUN
cuesj-1638	1	69	-	-	PUNCT
cuesj-1638	1	70	erbil	erbil	PROPN
cuesj-1638	1	71	,	,	PUNCT
cuesj-1638	1	72	erbil	erbil	PROPN
cuesj-1638	1	73	,	,	PUNCT
cuesj-1638	1	74	kurdistan	kurdistan	PROPN
cuesj-1638	1	75	region	region	NOUN
cuesj-1638	1	76	,	,	PUNCT
cuesj-1638	1	77	iraq	iraq	PROPN
cuesj-1638	1	78	abstract	abstract	ADJ
cuesj-1638	1	79	accurate	accurate	ADJ
cuesj-1638	1	80	short	short	ADJ
cuesj-1638	1	81	-	-	PUNCT
cuesj-1638	1	82	term	term	NOUN
cuesj-1638	1	83	load	load	NOUN
cuesj-1638	1	84	forecasting	forecasting	NOUN
cuesj-1638	1	85	is	be	AUX
cuesj-1638	1	86	vital	vital	ADJ
cuesj-1638	1	87	for	for	ADP
cuesj-1638	1	88	maintaining	maintain	VERB
cuesj-1638	1	89	the	the	DET
cuesj-1638	1	90	reliability	reliability	NOUN
cuesj-1638	1	91	and	and	CCONJ
cuesj-1638	1	92	stability	stability	NOUN
cuesj-1638	1	93	of	of	ADP
cuesj-1638	1	94	electricity	electricity	NOUN
cuesj-1638	1	95	supply	supply	NOUN
cuesj-1638	1	96	systems	system	NOUN
cuesj-1638	1	97	.	.	PUNCT
cuesj-1638	2	1	this	this	DET
cuesj-1638	2	2	study	study	NOUN
cuesj-1638	2	3	examines	examine	VERB
cuesj-1638	2	4	forecasting	forecasting	NOUN
cuesj-1638	2	5	methods	method	NOUN
cuesj-1638	2	6	for	for	ADP
cuesj-1638	2	7	the	the	DET
cuesj-1638	2	8	kurdistan	kurdistan	PROPN
cuesj-1638	2	9	region	region	NOUN
cuesj-1638	2	10	of	of	ADP
cuesj-1638	2	11	iraq	iraq	PROPN
cuesj-1638	2	12	,	,	PUNCT
cuesj-1638	2	13	where	where	SCONJ
cuesj-1638	2	14	electricity	electricity	NOUN
cuesj-1638	2	15	demand	demand	NOUN
cuesj-1638	2	16	is	be	AUX
cuesj-1638	2	17	steadily	steadily	ADV
cuesj-1638	2	18	rising	rise	VERB
cuesj-1638	2	19	.	.	PUNCT
cuesj-1638	3	1	historical	historical	ADJ
cuesj-1638	3	2	hourly	hourly	ADJ
cuesj-1638	3	3	load	load	NOUN
cuesj-1638	3	4	data	datum	NOUN
cuesj-1638	3	5	and	and	CCONJ
cuesj-1638	3	6	relevant	relevant	ADJ
cuesj-1638	3	7	exogenous	exogenous	ADJ
cuesj-1638	3	8	variables	variable	NOUN
cuesj-1638	3	9	were	be	AUX
cuesj-1638	3	10	used	use	VERB
cuesj-1638	3	11	to	to	PART
cuesj-1638	3	12	develop	develop	VERB
cuesj-1638	3	13	and	and	CCONJ
cuesj-1638	3	14	compare	compare	VERB
cuesj-1638	3	15	two	two	NUM
cuesj-1638	3	16	models	model	NOUN
cuesj-1638	3	17	:	:	PUNCT
cuesj-1638	3	18	a	a	DET
cuesj-1638	3	19	 	 	SPACE
cuesj-1638	3	20	standalone	standalone	ADJ
cuesj-1638	3	21	fuzzy	fuzzy	ADJ
cuesj-1638	3	22	logic	logic	NOUN
cuesj-1638	3	23	model	model	NOUN
cuesj-1638	3	24	and	and	CCONJ
cuesj-1638	3	25	a	a	DET
cuesj-1638	3	26	hybrid	hybrid	ADJ
cuesj-1638	3	27	fuzzy	fuzzy	ADJ
cuesj-1638	3	28	-	-	PUNCT
cuesj-1638	3	29	kalman	kalman	NOUN
cuesj-1638	3	30	filter	filter	NOUN
cuesj-1638	3	31	(	(	PUNCT
cuesj-1638	3	32	kf	kf	NOUN
cuesj-1638	3	33	)	)	PUNCT
cuesj-1638	3	34	model	model	NOUN
cuesj-1638	3	35	.	.	PUNCT
cuesj-1638	4	1	although	although	SCONJ
cuesj-1638	4	2	both	both	DET
cuesj-1638	4	3	fuzzy	fuzzy	ADJ
cuesj-1638	4	4	logic	logic	NOUN
cuesj-1638	4	5	and	and	CCONJ
cuesj-1638	4	6	kfs	kfs	PROPN
cuesj-1638	4	7	have	have	AUX
cuesj-1638	4	8	been	be	AUX
cuesj-1638	4	9	used	use	VERB
cuesj-1638	4	10	separately	separately	ADV
cuesj-1638	4	11	for	for	ADP
cuesj-1638	4	12	load	load	NOUN
cuesj-1638	4	13	forecasting	forecasting	NOUN
cuesj-1638	4	14	,	,	PUNCT
cuesj-1638	4	15	there	there	PRON
cuesj-1638	4	16	has	have	AUX
cuesj-1638	4	17	been	be	AUX
cuesj-1638	4	18	a	a	DET
cuesj-1638	4	19	lack	lack	NOUN
cuesj-1638	4	20	of	of	ADP
cuesj-1638	4	21	literature	literature	NOUN
cuesj-1638	4	22	directly	directly	ADV
cuesj-1638	4	23	comparing	compare	VERB
cuesj-1638	4	24	a	a	DET
cuesj-1638	4	25	standalone	standalone	ADJ
cuesj-1638	4	26	fuzzy	fuzzy	ADJ
cuesj-1638	4	27	logic	logic	NOUN
cuesj-1638	4	28	model	model	NOUN
cuesj-1638	4	29	with	with	ADP
cuesj-1638	4	30	a	a	DET
cuesj-1638	4	31	hybrid	hybrid	ADJ
cuesj-1638	4	32	fuzzy	fuzzy	ADJ
cuesj-1638	4	33	-	-	PUNCT
cuesj-1638	4	34	kf	kf	NOUN
cuesj-1638	4	35	approach	approach	NOUN
cuesj-1638	4	36	,	,	PUNCT
cuesj-1638	4	37	especially	especially	ADV
cuesj-1638	4	38	using	use	VERB
cuesj-1638	4	39	data	datum	NOUN
cuesj-1638	4	40	from	from	ADP
cuesj-1638	4	41	the	the	DET
cuesj-1638	4	42	kurdistan	kurdistan	PROPN
cuesj-1638	4	43	region	region	NOUN
cuesj-1638	4	44	.	.	PUNCT
cuesj-1638	5	1	the	the	DET
cuesj-1638	5	2	fuzzy	fuzzy	ADJ
cuesj-1638	5	3	logic	logic	NOUN
cuesj-1638	5	4	model	model	NOUN
cuesj-1638	5	5	was	be	AUX
cuesj-1638	5	6	designed	design	VERB
cuesj-1638	5	7	to	to	PART
cuesj-1638	5	8	capture	capture	VERB
cuesj-1638	5	9	non	non	ADJ
cuesj-1638	5	10	-	-	ADJ
cuesj-1638	5	11	linear	linear	ADJ
cuesj-1638	5	12	relationships	relationship	NOUN
cuesj-1638	5	13	and	and	CCONJ
cuesj-1638	5	14	apply	apply	VERB
cuesj-1638	5	15	human	human	NOUN
cuesj-1638	5	16	-	-	PUNCT
cuesj-1638	5	17	like	like	ADJ
cuesj-1638	5	18	reasoning	reasoning	NOUN
cuesj-1638	5	19	in	in	ADP
cuesj-1638	5	20	predicting	predict	VERB
cuesj-1638	5	21	load	load	NOUN
cuesj-1638	5	22	demand	demand	NOUN
cuesj-1638	5	23	.	.	PUNCT
cuesj-1638	6	1	the	the	DET
cuesj-1638	6	2	hybrid	hybrid	ADJ
cuesj-1638	6	3	approach	approach	NOUN
cuesj-1638	6	4	integrated	integrate	VERB
cuesj-1638	6	5	a	a	DET
cuesj-1638	6	6	kf	kf	NOUN
cuesj-1638	6	7	to	to	PART
cuesj-1638	6	8	refine	refine	VERB
cuesj-1638	6	9	initial	initial	ADJ
cuesj-1638	6	10	fuzzy	fuzzy	ADJ
cuesj-1638	6	11	estimates	estimate	NOUN
cuesj-1638	6	12	by	by	ADP
cuesj-1638	6	13	reducing	reduce	VERB
cuesj-1638	6	14	noise	noise	NOUN
cuesj-1638	6	15	and	and	CCONJ
cuesj-1638	6	16	updating	update	VERB
cuesj-1638	6	17	predictions	prediction	NOUN
cuesj-1638	6	18	based	base	VERB
cuesj-1638	6	19	on	on	ADP
cuesj-1638	6	20	recent	recent	ADJ
cuesj-1638	6	21	observations	observation	NOUN
cuesj-1638	6	22	.	.	PUNCT
cuesj-1638	7	1	both	both	DET
cuesj-1638	7	2	models	model	NOUN
cuesj-1638	7	3	were	be	AUX
cuesj-1638	7	4	evaluated	evaluate	VERB
cuesj-1638	7	5	using	use	VERB
cuesj-1638	7	6	mean	mean	ADJ
cuesj-1638	7	7	absolute	absolute	ADJ
cuesj-1638	7	8	percentage	percentage	NOUN
cuesj-1638	7	9	error	error	NOUN
cuesj-1638	7	10	and	and	CCONJ
cuesj-1638	7	11	root	root	NOUN
cuesj-1638	7	12	mean	mean	NOUN
cuesj-1638	7	13	square	square	ADJ
cuesj-1638	7	14	error	error	NOUN
cuesj-1638	7	15	(	(	PUNCT
cuesj-1638	7	16	rmse	rmse	NOUN
cuesj-1638	7	17	)	)	PUNCT
cuesj-1638	7	18	.	.	PUNCT
cuesj-1638	8	1	the	the	DET
cuesj-1638	8	2	outcomes	outcome	NOUN
cuesj-1638	8	3	show	show	VERB
cuesj-1638	8	4	that	that	SCONJ
cuesj-1638	8	5	standalone	standalone	ADJ
cuesj-1638	8	6	fuzzy	fuzzy	ADJ
cuesj-1638	8	7	logic	logic	NOUN
cuesj-1638	8	8	prediction	prediction	NOUN
cuesj-1638	8	9	is	be	AUX
cuesj-1638	8	10	not	not	PART
cuesj-1638	8	11	as	as	ADV
cuesj-1638	8	12	effective	effective	ADJ
cuesj-1638	8	13	as	as	ADP
cuesj-1638	8	14	the	the	DET
cuesj-1638	8	15	hybrid	hybrid	ADJ
cuesj-1638	8	16	fuzzy	fuzzy	NOUN
cuesj-1638	8	17	–	–	PUNCT
cuesj-1638	8	18	kf	kf	NOUN
cuesj-1638	8	19	.	.	PUNCT
cuesj-1638	9	1	the	the	DET
cuesj-1638	9	2	hybrid	hybrid	ADJ
cuesj-1638	9	3	technique	technique	NOUN
cuesj-1638	9	4	lowers	lower	VERB
cuesj-1638	9	5	the	the	DET
cuesj-1638	9	6	average	average	ADJ
cuesj-1638	9	7	mean	mean	NOUN
cuesj-1638	9	8	absolute	absolute	ADJ
cuesj-1638	9	9	error	error	NOUN
cuesj-1638	9	10	and	and	CCONJ
cuesj-1638	9	11	rmse	rmse	NOUN
cuesj-1638	9	12	of	of	ADP
cuesj-1638	9	13	the	the	DET
cuesj-1638	9	14	fuzzy	fuzzy	ADJ
cuesj-1638	9	15	model	model	NOUN
cuesj-1638	9	16	to	to	ADP
cuesj-1638	9	17	95.13	95.13	NUM
cuesj-1638	9	18	mw	mw	X
cuesj-1638	9	19	(	(	PUNCT
cuesj-1638	9	20	−3.75	−3.75	ADJ
cuesj-1638	9	21	%	%	NOUN
cuesj-1638	9	22	)	)	PUNCT
cuesj-1638	9	23	and	and	CCONJ
cuesj-1638	9	24	109.89	109.89	NUM
cuesj-1638	9	25	mw	mw	X
cuesj-1638	9	26	(	(	PUNCT
cuesj-1638	9	27	−10.46	−10.46	NOUN
cuesj-1638	9	28	%	%	NOUN
cuesj-1638	9	29	)	)	PUNCT
cuesj-1638	9	30	,	,	PUNCT
cuesj-1638	9	31	respectively	respectively	ADV
cuesj-1638	9	32	,	,	PUNCT
cuesj-1638	9	33	compared	compare	VERB
cuesj-1638	9	34	to	to	ADP
cuesj-1638	9	35	the	the	DET
cuesj-1638	9	36	fuzzy	fuzzy	ADJ
cuesj-1638	9	37	model	model	NOUN
cuesj-1638	9	38	’s	’s	PART
cuesj-1638	9	39	average	average	NOUN
cuesj-1638	9	40	of	of	ADP
cuesj-1638	9	41	98.84	98.84	NUM
cuesj-1638	9	42	mw	mw	NOUN
cuesj-1638	9	43	and	and	CCONJ
cuesj-1638	9	44	122.73	122.73	NUM
cuesj-1638	9	45	mw	mw	NOUN
cuesj-1638	9	46	.	.	PUNCT
cuesj-1638	10	1	this	this	DET
cuesj-1638	10	2	enhancement	enhancement	NOUN
cuesj-1638	10	3	demonstrates	demonstrate	VERB
cuesj-1638	10	4	how	how	SCONJ
cuesj-1638	10	5	well	well	ADV
cuesj-1638	10	6	noise	noise	NOUN
cuesj-1638	10	7	filtering	filter	VERB
cuesj-1638	10	8	and	and	CCONJ
cuesj-1638	10	9	recursive	recursive	ADJ
cuesj-1638	10	10	state	state	NOUN
cuesj-1638	10	11	estimation	estimation	NOUN
cuesj-1638	10	12	work	work	NOUN
cuesj-1638	10	13	,	,	PUNCT
cuesj-1638	10	14	especially	especially	ADV
cuesj-1638	10	15	when	when	SCONJ
cuesj-1638	10	16	load	load	NOUN
cuesj-1638	10	17	circumstances	circumstance	NOUN
cuesj-1638	10	18	are	be	AUX
cuesj-1638	10	19	steady	steady	ADJ
cuesj-1638	10	20	.	.	PUNCT
cuesj-1638	11	1	results	result	NOUN
cuesj-1638	11	2	show	show	VERB
cuesj-1638	11	3	that	that	SCONJ
cuesj-1638	11	4	the	the	DET
cuesj-1638	11	5	hybrid	hybrid	NOUN
cuesj-1638	11	6	model	model	NOUN
cuesj-1638	11	7	consistently	consistently	ADV
cuesj-1638	11	8	outperformed	outperform	VERB
cuesj-1638	11	9	the	the	DET
cuesj-1638	11	10	standalone	standalone	ADJ
cuesj-1638	11	11	fuzzy	fuzzy	ADJ
cuesj-1638	11	12	logic	logic	NOUN
cuesj-1638	11	13	model	model	NOUN
cuesj-1638	11	14	.	.	PUNCT
cuesj-1638	12	1	the	the	DET
cuesj-1638	12	2	findings	finding	NOUN
cuesj-1638	12	3	highlight	highlight	VERB
cuesj-1638	12	4	that	that	SCONJ
cuesj-1638	12	5	the	the	DET
cuesj-1638	12	6	hybrid	hybrid	ADJ
cuesj-1638	12	7	fuzzy	fuzzy	ADJ
cuesj-1638	12	8	-	-	PUNCT
cuesj-1638	12	9	kf	kf	PROPN
cuesj-1638	12	10	provides	provide	VERB
cuesj-1638	12	11	a	a	DET
cuesj-1638	12	12	more	more	ADV
cuesj-1638	12	13	effective	effective	ADJ
cuesj-1638	12	14	solution	solution	NOUN
cuesj-1638	12	15	for	for	ADP
cuesj-1638	12	16	short	short	ADJ
cuesj-1638	12	17	-	-	PUNCT
cuesj-1638	12	18	term	term	NOUN
cuesj-1638	12	19	load	load	NOUN
cuesj-1638	12	20	forecasting	forecasting	NOUN
cuesj-1638	12	21	in	in	ADP
cuesj-1638	12	22	kurdistan	kurdistan	PROPN
cuesj-1638	12	23	’s	’s	PART
cuesj-1638	12	24	electricity	electricity	NOUN
cuesj-1638	12	25	sector	sector	NOUN
cuesj-1638	12	26	.	.	PUNCT
cuesj-1638	13	1	keywords	keyword	NOUN
cuesj-1638	13	2	:	:	PUNCT
cuesj-1638	13	3	short	short	ADJ
cuesj-1638	13	4	-	-	PUNCT
cuesj-1638	13	5	term	term	NOUN
cuesj-1638	13	6	load	load	NOUN
cuesj-1638	13	7	forecasting	forecasting	NOUN
cuesj-1638	13	8	,	,	PUNCT
cuesj-1638	13	9	fuzzy	fuzzy	ADJ
cuesj-1638	13	10	logic	logic	NOUN
cuesj-1638	13	11	model	model	NOUN
cuesj-1638	13	12	,	,	PUNCT
cuesj-1638	13	13	kalman	kalman	PROPN
cuesj-1638	13	14	filter	filter	PROPN
cuesj-1638	13	15	,	,	PUNCT
cuesj-1638	13	16	hybrid	hybrid	ADJ
cuesj-1638	13	17	modeling	modeling	NOUN
cuesj-1638	13	18	,	,	PUNCT
cuesj-1638	13	19	electricity	electricity	NOUN
cuesj-1638	13	20	demand	demand	NOUN
cuesj-1638	13	21	introduction	introduction	NOUN
cuesj-1638	13	22	electrical	electrical	ADJ
cuesj-1638	13	23	load	load	NOUN
cuesj-1638	13	24	forecasting	forecasting	NOUN
cuesj-1638	13	25	stands	stand	VERB
cuesj-1638	13	26	at	at	ADP
cuesj-1638	13	27	the	the	DET
cuesj-1638	13	28	core	core	NOUN
cuesj-1638	13	29	of	of	ADP
cuesj-1638	13	30	planning	planning	NOUN
cuesj-1638	13	31	and	and	CCONJ
cuesj-1638	13	32	administration	administration	NOUN
cuesj-1638	13	33	of	of	ADP
cuesj-1638	13	34	contemporary	contemporary	PROPN
cuesj-1638	13	35	power	power	NOUN
cuesj-1638	13	36	systems	system	NOUN
cuesj-1638	13	37	.	.	PUNCT
cuesj-1638	14	1	the	the	DET
cuesj-1638	14	2	precise	precise	ADJ
cuesj-1638	14	3	forecasting	forecasting	NOUN
cuesj-1638	14	4	of	of	ADP
cuesj-1638	14	5	load	load	NOUN
cuesj-1638	14	6	is	be	AUX
cuesj-1638	14	7	essential	essential	ADJ
cuesj-1638	14	8	for	for	ADP
cuesj-1638	14	9	ensuring	ensure	VERB
cuesj-1638	14	10	the	the	DET
cuesj-1638	14	11	reliability	reliability	NOUN
cuesj-1638	14	12	of	of	ADP
cuesj-1638	14	13	the	the	DET
cuesj-1638	14	14	electrical	electrical	ADJ
cuesj-1638	14	15	grid	grid	NOUN
cuesj-1638	14	16	,	,	PUNCT
cuesj-1638	14	17	enhancing	enhance	VERB
cuesj-1638	14	18	the	the	DET
cuesj-1638	14	19	efficiency	efficiency	NOUN
cuesj-1638	14	20	of	of	ADP
cuesj-1638	14	21	power	power	NOUN
cuesj-1638	14	22	generation	generation	NOUN
cuesj-1638	14	23	,	,	PUNCT
cuesj-1638	14	24	regulating	regulate	VERB
cuesj-1638	14	25	energy	energy	NOUN
cuesj-1638	14	26	markets	market	NOUN
cuesj-1638	14	27	,	,	PUNCT
cuesj-1638	14	28	and	and	CCONJ
cuesj-1638	14	29	reducing	reduce	VERB
cuesj-1638	14	30	operational	operational	ADJ
cuesj-1638	14	31	expenses.[1,2	expenses.[1,2	ADJ
cuesj-1638	14	32	]	]	X
cuesj-1638	14	33	conventional	conventional	ADJ
cuesj-1638	14	34	statistical	statistical	ADJ
cuesj-1638	14	35	methods	method	NOUN
cuesj-1638	14	36	,	,	PUNCT
cuesj-1638	14	37	including	include	VERB
cuesj-1638	14	38	exponential	exponential	NOUN
cuesj-1638	14	39	smoothing	smoothing	NOUN
cuesj-1638	14	40	and	and	CCONJ
cuesj-1638	14	41	autoregressive	autoregressive	ADJ
cuesj-1638	14	42	models	model	NOUN
cuesj-1638	14	43	have	have	AUX
cuesj-1638	14	44	seen	see	VERB
cuesj-1638	14	45	extensive	extensive	ADJ
cuesj-1638	14	46	applications	application	NOUN
cuesj-1638	14	47	in	in	ADP
cuesj-1638	14	48	load	load	NOUN
cuesj-1638	14	49	forecasting	forecasting	NOUN
cuesj-1638	14	50	,	,	PUNCT
cuesj-1638	14	51	but	but	CCONJ
cuesj-1638	14	52	their	their	PRON
cuesj-1638	14	53	shortcomings	shortcoming	NOUN
cuesj-1638	14	54	are	be	AUX
cuesj-1638	14	55	apparent	apparent	ADJ
cuesj-1638	14	56	when	when	SCONJ
cuesj-1638	14	57	dealing	deal	VERB
cuesj-1638	14	58	with	with	ADP
cuesj-1638	14	59	issues	issue	NOUN
cuesj-1638	14	60	of	of	ADP
cuesj-1638	14	61	nonlinearity	nonlinearity	NOUN
cuesj-1638	14	62	,	,	PUNCT
cuesj-1638	14	63	non	non	ADJ
cuesj-1638	14	64	-	-	ADJ
cuesj-1638	14	65	stationary	stationary	ADJ
cuesj-1638	14	66	,	,	PUNCT
cuesj-1638	14	67	and	and	CCONJ
cuesj-1638	14	68	environmental	environmental	ADJ
cuesj-1638	14	69	variables	variable	NOUN
cuesj-1638	14	70	such	such	ADJ
cuesj-1638	14	71	as	as	ADP
cuesj-1638	14	72	temperature.[3	temperature.[3	NOUN
cuesj-1638	14	73	-	-	SYM
cuesj-1638	14	74	5	5	NUM
cuesj-1638	14	75	]	]	PUNCT
cuesj-1638	14	76	this	this	PRON
cuesj-1638	14	77	has	have	AUX
cuesj-1638	14	78	given	give	VERB
cuesj-1638	14	79	rise	rise	NOUN
cuesj-1638	14	80	to	to	ADP
cuesj-1638	14	81	the	the	DET
cuesj-1638	14	82	development	development	NOUN
cuesj-1638	14	83	of	of	ADP
cuesj-1638	14	84	hybrid	hybrid	ADJ
cuesj-1638	14	85	and	and	CCONJ
cuesj-1638	14	86	intelligent	intelligent	ADJ
cuesj-1638	14	87	models	model	NOUN
cuesj-1638	14	88	,	,	PUNCT
cuesj-1638	14	89	such	such	ADJ
cuesj-1638	14	90	as	as	ADP
cuesj-1638	14	91	fuzzy	fuzzy	ADJ
cuesj-1638	14	92	logic	logic	NOUN
cuesj-1638	14	93	and	and	CCONJ
cuesj-1638	14	94	kalman	kalman	PROPN
cuesj-1638	14	95	filtering	filtering	PROPN
cuesj-1638	14	96	,	,	PUNCT
cuesj-1638	14	97	to	to	PART
cuesj-1638	14	98	improve	improve	VERB
cuesj-1638	14	99	forecasting	forecasting	NOUN
cuesj-1638	14	100	efficiency	efficiency	NOUN
cuesj-1638	14	101	under	under	ADP
cuesj-1638	14	102	dynamic	dynamic	ADJ
cuesj-1638	14	103	and	and	CCONJ
cuesj-1638	14	104	uncertain	uncertain	ADJ
cuesj-1638	14	105	conditions.[6	conditions.[6	NOUN
cuesj-1638	14	106	-	-	PUNCT
cuesj-1638	14	107	8	8	NUM
cuesj-1638	14	108	]	]	PUNCT
cuesj-1638	14	109	the	the	DET
cuesj-1638	14	110	kurdistan	kurdistan	PROPN
cuesj-1638	14	111	region	region	NOUN
cuesj-1638	14	112	of	of	ADP
cuesj-1638	14	113	iraq	iraq	PROPN
cuesj-1638	14	114	faces	face	VERB
cuesj-1638	14	115	significant	significant	ADJ
cuesj-1638	14	116	challenges	challenge	NOUN
cuesj-1638	14	117	with	with	ADP
cuesj-1638	14	118	its	its	PRON
cuesj-1638	14	119	unstable	unstable	ADJ
cuesj-1638	14	120	electricity	electricity	NOUN
cuesj-1638	14	121	supply	supply	NOUN
cuesj-1638	14	122	and	and	CCONJ
cuesj-1638	14	123	rapidly	rapidly	ADV
cuesj-1638	14	124	growing	grow	VERB
cuesj-1638	14	125	demand	demand	NOUN
cuesj-1638	14	126	,	,	PUNCT
cuesj-1638	14	127	making	make	VERB
cuesj-1638	14	128	accurate	accurate	ADJ
cuesj-1638	14	129	short	short	ADJ
cuesj-1638	14	130	-	-	PUNCT
cuesj-1638	14	131	term	term	NOUN
cuesj-1638	14	132	load	load	NOUN
cuesj-1638	14	133	forecasting	forecast	VERB
cuesj-1638	14	134	a	a	DET
cuesj-1638	14	135	crucial	crucial	ADJ
cuesj-1638	14	136	priority	priority	NOUN
cuesj-1638	14	137	.	.	PUNCT
cuesj-1638	15	1	fuzzy	fuzzy	ADJ
cuesj-1638	15	2	logic	logic	NOUN
cuesj-1638	15	3	systems	system	NOUN
cuesj-1638	15	4	(	(	PUNCT
cuesj-1638	15	5	fls	fls	PROPN
cuesj-1638	15	6	)	)	PUNCT
cuesj-1638	15	7	are	be	AUX
cuesj-1638	15	8	based	base	VERB
cuesj-1638	15	9	on	on	ADP
cuesj-1638	15	10	human	human	ADJ
cuesj-1638	15	11	cognitive	cognitive	ADJ
cuesj-1638	15	12	processes	process	NOUN
cuesj-1638	15	13	and	and	CCONJ
cuesj-1638	15	14	linguistic	linguistic	ADJ
cuesj-1638	15	15	rules	rule	NOUN
cuesj-1638	15	16	,	,	PUNCT
cuesj-1638	15	17	making	make	VERB
cuesj-1638	15	18	them	they	PRON
cuesj-1638	15	19	well	well	ADV
cuesj-1638	15	20	-	-	PUNCT
cuesj-1638	15	21	suited	suited	ADJ
cuesj-1638	15	22	to	to	PART
cuesj-1638	15	23	represent	represent	VERB
cuesj-1638	15	24	uncertain	uncertain	ADJ
cuesj-1638	15	25	or	or	CCONJ
cuesj-1638	15	26	imprecise	imprecise	ADJ
cuesj-1638	15	27	relationships.[9	relationships.[9	NOUN
cuesj-1638	15	28	]	]	PUNCT
cuesj-1638	15	29	these	these	DET
cuesj-1638	15	30	systems	system	NOUN
cuesj-1638	15	31	are	be	AUX
cuesj-1638	15	32	data	datum	NOUN
cuesj-1638	15	33	-	-	PUNCT
cuesj-1638	15	34	driven	drive	VERB
cuesj-1638	15	35	and	and	CCONJ
cuesj-1638	15	36	can	can	AUX
cuesj-1638	15	37	embody	embody	VERB
cuesj-1638	15	38	expert	expert	ADJ
cuesj-1638	15	39	knowledge	knowledge	NOUN
cuesj-1638	15	40	through	through	ADP
cuesj-1638	15	41	conditional	conditional	ADJ
cuesj-1638	15	42	statements	statement	NOUN
cuesj-1638	15	43	,	,	PUNCT
cuesj-1638	15	44	which	which	PRON
cuesj-1638	15	45	enables	enable	VERB
cuesj-1638	15	46	them	they	PRON
cuesj-1638	15	47	to	to	PART
cuesj-1638	15	48	flexibly	flexibly	ADV
cuesj-1638	15	49	accommodate	accommodate	VERB
cuesj-1638	15	50	complex	complex	NOUN
cuesj-1638	15	51	,	,	PUNCT
cuesj-1638	15	52	nonlinear	nonlinear	ADJ
cuesj-1638	15	53	trends	trend	NOUN
cuesj-1638	15	54	in	in	ADP
cuesj-1638	15	55	load	load	NOUN
cuesj-1638	15	56	behavior.[10	behavior.[10	PROPN
cuesj-1638	15	57	]	]	PUNCT
cuesj-1638	15	58	kalman	kalman	NOUN
cuesj-1638	15	59	filters	filter	NOUN
cuesj-1638	15	60	(	(	PUNCT
cuesj-1638	15	61	kf	kf	PROPN
cuesj-1638	15	62	)	)	PUNCT
cuesj-1638	15	63	,	,	PUNCT
cuesj-1638	15	64	on	on	ADP
cuesj-1638	15	65	the	the	DET
cuesj-1638	15	66	other	other	ADJ
cuesj-1638	15	67	hand	hand	NOUN
cuesj-1638	15	68	,	,	PUNCT
cuesj-1638	15	69	offer	offer	VERB
cuesj-1638	15	70	an	an	DET
cuesj-1638	15	71	optimal	optimal	ADJ
cuesj-1638	15	72	recursive	recursive	ADJ
cuesj-1638	15	73	estimation	estimation	NOUN
cuesj-1638	15	74	for	for	ADP
cuesj-1638	15	75	linear	linear	ADJ
cuesj-1638	15	76	dynamic	dynamic	ADJ
cuesj-1638	15	77	systems	system	NOUN
cuesj-1638	15	78	with	with	ADP
cuesj-1638	15	79	gaussian	gaussian	ADJ
cuesj-1638	15	80	noise	noise	NOUN
cuesj-1638	15	81	assumptions.[11	assumptions.[11	PROPN
cuesj-1638	15	82	]	]	PUNCT
cuesj-1638	15	83	though	though	SCONJ
cuesj-1638	15	84	they	they	PRON
cuesj-1638	15	85	are	be	AUX
cuesj-1638	15	86	widely	widely	ADV
cuesj-1638	15	87	used	use	VERB
cuesj-1638	15	88	in	in	ADP
cuesj-1638	15	89	signal	signal	NOUN
cuesj-1638	15	90	and	and	CCONJ
cuesj-1638	15	91	control	control	NOUN
cuesj-1638	15	92	processing	processing	NOUN
cuesj-1638	15	93	,	,	PUNCT
cuesj-1638	15	94	standard	standard	ADJ
cuesj-1638	15	95	kfs	kfs	PROPN
cuesj-1638	15	96	perform	perform	VERB
cuesj-1638	15	97	inadequately	inadequately	ADV
cuesj-1638	15	98	when	when	SCONJ
cuesj-1638	15	99	the	the	DET
cuesj-1638	15	100	noise	noise	NOUN
cuesj-1638	15	101	characteristics	characteristic	NOUN
cuesj-1638	15	102	are	be	AUX
cuesj-1638	15	103	nonstationary	nonstationary	ADJ
cuesj-1638	15	104	or	or	CCONJ
cuesj-1638	15	105	in	in	ADP
cuesj-1638	15	106	cases	case	NOUN
cuesj-1638	15	107	where	where	SCONJ
cuesj-1638	15	108	system	system	NOUN
cuesj-1638	15	109	dynamics	dynamic	NOUN
cuesj-1638	15	110	are	be	AUX
cuesj-1638	15	111	nonlinear.[12	nonlinear.[12	PROPN
cuesj-1638	15	112	]	]	PUNCT
cuesj-1638	15	113	to	to	PART
cuesj-1638	15	114	overcome	overcome	VERB
cuesj-1638	15	115	these	these	DET
cuesj-1638	15	116	limitations	limitation	NOUN
cuesj-1638	15	117	,	,	PUNCT
cuesj-1638	15	118	fuzzy	fuzzy	ADJ
cuesj-1638	15	119	adaptive	adaptive	ADJ
cuesj-1638	15	120	kfs	kfs	PROPN
cuesj-1638	15	121	(	(	PUNCT
cuesj-1638	15	122	fakf	fakf	PROPN
cuesj-1638	15	123	)	)	PUNCT
cuesj-1638	15	124	have	have	AUX
cuesj-1638	15	125	been	be	AUX
cuesj-1638	15	126	established	establish	VERB
cuesj-1638	15	127	as	as	ADP
cuesj-1638	15	128	a	a	DET
cuesj-1638	15	129	hybrid	hybrid	ADJ
cuesj-1638	15	130	approach	approach	NOUN
cuesj-1638	15	131	.	.	PUNCT
cuesj-1638	16	1	in	in	ADP
cuesj-1638	16	2	fakf	fakf	PROPN
cuesj-1638	16	3	schemes	scheme	NOUN
cuesj-1638	16	4	,	,	PUNCT
cuesj-1638	16	5	fuzzy	fuzzy	ADJ
cuesj-1638	16	6	logic	logic	NOUN
cuesj-1638	16	7	is	be	AUX
cuesj-1638	16	8	used	use	VERB
cuesj-1638	16	9	to	to	PART
cuesj-1638	16	10	adaptively	adaptively	ADV
cuesj-1638	16	11	adjust	adjust	VERB
cuesj-1638	16	12	the	the	DET
cuesj-1638	16	13	measurement	measurement	NOUN
cuesj-1638	16	14	cihan	cihan	VERB
cuesj-1638	16	15	university	university	NOUN
cuesj-1638	16	16	-	-	PUNCT
cuesj-1638	16	17	erbil	erbil	PROPN
cuesj-1638	16	18	scientific	scientific	ADJ
cuesj-1638	16	19	journal	journal	NOUN
cuesj-1638	16	20	(	(	PUNCT
cuesj-1638	16	21	cuesj	cuesj	PROPN
cuesj-1638	16	22	)	)	PUNCT
cuesj-1638	16	23	corresponding	correspond	VERB
cuesj-1638	16	24	author	author	NOUN
cuesj-1638	16	25	:	:	PUNCT
cuesj-1638	16	26	rebaz	rebaz	PROPN
cuesj-1638	16	27	o.	o.	PROPN
cuesj-1638	16	28	yahya	yahya	PROPN
cuesj-1638	16	29	,	,	PUNCT
cuesj-1638	16	30	department	department	NOUN
cuesj-1638	16	31	of	of	ADP
cuesj-1638	16	32	statistics	statistic	NOUN
cuesj-1638	16	33	and	and	CCONJ
cuesj-1638	16	34	informatics	informatic	NOUN
cuesj-1638	16	35	,	,	PUNCT
cuesj-1638	16	36	college	college	NOUN
cuesj-1638	16	37	of	of	ADP
cuesj-1638	16	38	administration	administration	NOUN
cuesj-1638	16	39	and	and	CCONJ
cuesj-1638	16	40	economics	economic	NOUN
cuesj-1638	16	41	,	,	PUNCT
cuesj-1638	16	42	salahaddin	salahaddin	VERB
cuesj-1638	16	43	university	university	NOUN
cuesj-1638	16	44	-	-	PUNCT
cuesj-1638	16	45	erbil	erbil	PROPN
cuesj-1638	16	46	,	,	PUNCT
cuesj-1638	16	47	erbil	erbil	PROPN
cuesj-1638	16	48	,	,	PUNCT
cuesj-1638	16	49	kurdistan	kurdistan	PROPN
cuesj-1638	16	50	region	region	NOUN
cuesj-1638	16	51	,	,	PUNCT
cuesj-1638	16	52	iraq	iraq	PROPN
cuesj-1638	16	53	.	.	PUNCT
cuesj-1638	17	1	e	e	X
cuesj-1638	17	2	-	-	NOUN
cuesj-1638	17	3	mail	mail	NOUN
cuesj-1638	17	4	:	:	PUNCT
cuesj-1638	17	5	rebaz.yahya@su.edu.krd	rebaz.yahya@su.edu.krd	NOUN
cuesj-1638	17	6	received	receive	VERB
cuesj-1638	17	7	:	:	PUNCT
cuesj-1638	17	8	september	september	PROPN
cuesj-1638	17	9	16	16	NUM
cuesj-1638	17	10	,	,	PUNCT
cuesj-1638	17	11	2025	2025	NUM
cuesj-1638	17	12	accepted	accept	VERB
cuesj-1638	17	13	:	:	PUNCT
cuesj-1638	17	14	october	october	PROPN
cuesj-1638	17	15	20	20	NUM
cuesj-1638	17	16	,	,	PUNCT
cuesj-1638	17	17	2025	2025	NUM
cuesj-1638	17	18	published	publish	VERB
cuesj-1638	17	19	:	:	PUNCT
cuesj-1638	17	20	december	december	PROPN
cuesj-1638	17	21	10	10	NUM
cuesj-1638	17	22	,	,	PUNCT
cuesj-1638	17	23	2025	2025	NUM
cuesj-1638	17	24	doi	doi	NOUN
cuesj-1638	17	25	:	:	PUNCT
cuesj-1638	17	26	10.24086	10.24086	NUM
cuesj-1638	17	27	/	/	SYM
cuesj-1638	17	28	cuesj.v9n2y2025.pp117	cuesj.v9n2y2025.pp117	PROPN
cuesj-1638	17	29	-	-	PUNCT
cuesj-1638	17	30	124	124	NUM
cuesj-1638	17	31	copyright	copyright	NOUN
cuesj-1638	17	32	©	©	PROPN
cuesj-1638	17	33	2025	2025	NUM
cuesj-1638	17	34	rebaz	rebaz	NOUN
cuesj-1638	17	35	o.	o.	PROPN
cuesj-1638	17	36	yahya	yahya	PROPN
cuesj-1638	17	37	,	,	PUNCT
cuesj-1638	17	38	kurdistan	kurdistan	PROPN
cuesj-1638	17	39	i.	i.	PROPN
cuesj-1638	17	40	mawlood	mawlood	PROPN
cuesj-1638	17	41	.	.	PUNCT
cuesj-1638	18	1	this	this	PRON
cuesj-1638	18	2	is	be	AUX
cuesj-1638	18	3	an	an	DET
cuesj-1638	18	4	open	open	ADJ
cuesj-1638	18	5	-	-	PUNCT
cuesj-1638	18	6	access	access	NOUN
cuesj-1638	18	7	article	article	NOUN
cuesj-1638	18	8	distributed	distribute	VERB
cuesj-1638	18	9	under	under	ADP
cuesj-1638	18	10	the	the	DET
cuesj-1638	18	11	creative	creative	ADJ
cuesj-1638	18	12	commons	common	NOUN
cuesj-1638	18	13	attribution	attribution	NOUN
cuesj-1638	18	14	license	license	NOUN
cuesj-1638	18	15	.	.	PUNCT
cuesj-1638	19	1	yahya	yahya	PROPN
cuesj-1638	19	2	and	and	CCONJ
cuesj-1638	19	3	mawlood	mawlood	NOUN
cuesj-1638	19	4	:	:	PUNCT
cuesj-1638	19	5	a	a	DET
cuesj-1638	19	6	hybrid	hybrid	ADJ
cuesj-1638	19	7	fuzzy	fuzzy	ADJ
cuesj-1638	19	8	-	-	PUNCT
cuesj-1638	19	9	kalman	kalman	NOUN
cuesj-1638	19	10	filtering	filtering	NOUN
cuesj-1638	19	11	for	for	ADP
cuesj-1638	19	12	short	short	ADJ
cuesj-1638	19	13	-	-	PUNCT
cuesj-1638	19	14	term	term	NOUN
cuesj-1638	19	15	electricity	electricity	NOUN
cuesj-1638	19	16	load	load	NOUN
cuesj-1638	19	17	118	118	NUM
cuesj-1638	19	18	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1638	19	19	cuesj	cuesj	NOUN
cuesj-1638	19	20	2025	2025	NUM
cuesj-1638	19	21	,	,	PUNCT
cuesj-1638	19	22	9	9	NUM
cuesj-1638	19	23	(	(	PUNCT
cuesj-1638	19	24	2	2	NUM
cuesj-1638	19	25	):	):	PUNCT
cuesj-1638	19	26	117	117	NUM
cuesj-1638	19	27	-	-	SYM
cuesj-1638	19	28	124	124	NUM
cuesj-1638	19	29	noise	noise	NOUN
cuesj-1638	19	30	covariance	covariance	NOUN
cuesj-1638	19	31	(	(	PUNCT
cuesj-1638	19	32	r	r	NOUN
cuesj-1638	19	33	)	)	PUNCT
cuesj-1638	19	34	and	and	CCONJ
cuesj-1638	19	35	,	,	PUNCT
cuesj-1638	19	36	occasionally	occasionally	ADV
cuesj-1638	19	37	,	,	PUNCT
cuesj-1638	19	38	the	the	DET
cuesj-1638	19	39	process	process	NOUN
cuesj-1638	19	40	noise	noise	NOUN
cuesj-1638	19	41	covariance	covariance	NOUN
cuesj-1638	19	42	(	(	PUNCT
cuesj-1638	19	43	q	q	NOUN
cuesj-1638	19	44	)	)	PUNCT
cuesj-1638	19	45	,	,	PUNCT
cuesj-1638	19	46	based	base	VERB
cuesj-1638	19	47	on	on	ADP
cuesj-1638	19	48	contextual	contextual	ADJ
cuesj-1638	19	49	variables	variable	NOUN
cuesj-1638	19	50	such	such	ADJ
cuesj-1638	19	51	as	as	ADP
cuesj-1638	19	52	temperature	temperature	NOUN
cuesj-1638	19	53	,	,	PUNCT
cuesj-1638	19	54	time	time	NOUN
cuesj-1638	19	55	factors	factor	NOUN
cuesj-1638	19	56	,	,	PUNCT
cuesj-1638	19	57	or	or	CCONJ
cuesj-1638	19	58	historical	historical	ADJ
cuesj-1638	19	59	trends	trend	NOUN
cuesj-1638	19	60	of	of	ADP
cuesj-1638	19	61	error.[13	error.[13	NOUN
cuesj-1638	19	62	]	]	PUNCT
cuesj-1638	19	63	this	this	DET
cuesj-1638	19	64	capability	capability	NOUN
cuesj-1638	19	65	makes	make	VERB
cuesj-1638	19	66	the	the	DET
cuesj-1638	19	67	kf	kf	PROPN
cuesj-1638	19	68	adaptable	adaptable	ADJ
cuesj-1638	19	69	and	and	CCONJ
cuesj-1638	19	70	responsive	responsive	ADJ
cuesj-1638	19	71	to	to	ADP
cuesj-1638	19	72	changing	change	VERB
cuesj-1638	19	73	operating	operating	NOUN
cuesj-1638	19	74	conditions	condition	NOUN
cuesj-1638	19	75	,	,	PUNCT
cuesj-1638	19	76	thereby	thereby	ADV
cuesj-1638	19	77	enhancing	enhance	VERB
cuesj-1638	19	78	its	its	PRON
cuesj-1638	19	79	predictive	predictive	ADJ
cuesj-1638	19	80	capability	capability	NOUN
cuesj-1638	19	81	and	and	CCONJ
cuesj-1638	19	82	robustness.[14	robustness.[14	PROPN
cuesj-1638	19	83	]	]	PUNCT
cuesj-1638	19	84	this	this	DET
cuesj-1638	19	85	work	work	NOUN
cuesj-1638	19	86	presents	present	VERB
cuesj-1638	19	87	a	a	DET
cuesj-1638	19	88	comparison	comparison	NOUN
cuesj-1638	19	89	of	of	ADP
cuesj-1638	19	90	two	two	NUM
cuesj-1638	19	91	techniques	technique	NOUN
cuesj-1638	19	92	for	for	ADP
cuesj-1638	19	93	electric	electric	ADJ
cuesj-1638	19	94	load	load	NOUN
cuesj-1638	19	95	forecasting	forecasting	NOUN
cuesj-1638	19	96	:	:	PUNCT
cuesj-1638	19	97	a	a	DET
cuesj-1638	19	98	fuzzy	fuzzy	ADJ
cuesj-1638	19	99	logic	logic	NOUN
cuesj-1638	19	100	model	model	NOUN
cuesj-1638	19	101	by	by	ADP
cuesj-1638	19	102	itself	itself	PRON
cuesj-1638	19	103	and	and	CCONJ
cuesj-1638	19	104	a	a	DET
cuesj-1638	19	105	fakf	fakf	NOUN
cuesj-1638	19	106	.	.	PUNCT
cuesj-1638	20	1	the	the	DET
cuesj-1638	20	2	goal	goal	NOUN
cuesj-1638	20	3	is	be	AUX
cuesj-1638	20	4	to	to	PART
cuesj-1638	20	5	contrast	contrast	VERB
cuesj-1638	20	6	the	the	DET
cuesj-1638	20	7	predictive	predictive	ADJ
cuesj-1638	20	8	capabilities	capability	NOUN
cuesj-1638	20	9	of	of	ADP
cuesj-1638	20	10	each	each	DET
cuesj-1638	20	11	approach	approach	NOUN
cuesj-1638	20	12	and	and	CCONJ
cuesj-1638	20	13	point	point	VERB
cuesj-1638	20	14	out	out	ADP
cuesj-1638	20	15	the	the	DET
cuesj-1638	20	16	possible	possible	ADJ
cuesj-1638	20	17	benefits	benefit	NOUN
cuesj-1638	20	18	of	of	ADP
cuesj-1638	20	19	hybrid	hybrid	ADJ
cuesj-1638	20	20	methodologies	methodology	NOUN
cuesj-1638	20	21	.	.	PUNCT
cuesj-1638	21	1	to	to	ADP
cuesj-1638	21	2	the	the	DET
cuesj-1638	21	3	best	good	ADJ
cuesj-1638	21	4	of	of	ADP
cuesj-1638	21	5	our	our	PRON
cuesj-1638	21	6	knowledge	knowledge	NOUN
cuesj-1638	21	7	,	,	PUNCT
cuesj-1638	21	8	few	few	ADJ
cuesj-1638	21	9	works	work	NOUN
cuesj-1638	21	10	have	have	AUX
cuesj-1638	21	11	explicitly	explicitly	ADV
cuesj-1638	21	12	compared	compare	VERB
cuesj-1638	21	13	these	these	DET
cuesj-1638	21	14	approaches	approach	NOUN
cuesj-1638	21	15	with	with	ADP
cuesj-1638	21	16	a	a	DET
cuesj-1638	21	17	unique	unique	ADJ
cuesj-1638	21	18	dataset	dataset	NOUN
cuesj-1638	21	19	under	under	ADP
cuesj-1638	21	20	controlled	control	VERB
cuesj-1638	21	21	simulation	simulation	NOUN
cuesj-1638	21	22	conditions.[15	conditions.[15	PROPN
cuesj-1638	21	23	]	]	PUNCT
cuesj-1638	21	24	literature	literature	PROPN
cuesj-1638	21	25	review	review	VERB
cuesj-1638	21	26	traditional	traditional	ADJ
cuesj-1638	21	27	methods	method	NOUN
cuesj-1638	21	28	of	of	ADP
cuesj-1638	21	29	load	load	NOUN
cuesj-1638	21	30	forecasting	forecast	VERB
cuesj-1638	21	31	initial	initial	ADJ
cuesj-1638	21	32	approaches	approach	NOUN
cuesj-1638	21	33	to	to	PART
cuesj-1638	21	34	load	load	NOUN
cuesj-1638	21	35	forecasting	forecasting	NOUN
cuesj-1638	21	36	depended	depend	VERB
cuesj-1638	21	37	primarily	primarily	ADV
cuesj-1638	21	38	on	on	ADP
cuesj-1638	21	39	statistical	statistical	ADJ
cuesj-1638	21	40	techniques	technique	NOUN
cuesj-1638	21	41	,	,	PUNCT
cuesj-1638	21	42	encompassing	encompass	VERB
cuesj-1638	21	43	methods	method	NOUN
cuesj-1638	21	44	such	such	ADJ
cuesj-1638	21	45	as	as	ADP
cuesj-1638	21	46	autoregressive	autoregressive	ADJ
cuesj-1638	21	47	integrated	integrated	ADJ
cuesj-1638	21	48	moving	move	VERB
cuesj-1638	21	49	average	average	ADJ
cuesj-1638	21	50	,	,	PUNCT
cuesj-1638	21	51	regression	regression	NOUN
cuesj-1638	21	52	analyses	analysis	NOUN
cuesj-1638	21	53	,	,	PUNCT
cuesj-1638	21	54	and	and	CCONJ
cuesj-1638	21	55	exponential	exponential	ADJ
cuesj-1638	21	56	smoothing.[16	smoothing.[16	PROPN
cuesj-1638	21	57	-	-	PUNCT
cuesj-1638	21	58	18	18	NUM
cuesj-1638	21	59	]	]	PUNCT
cuesj-1638	21	60	these	these	DET
cuesj-1638	21	61	models	model	NOUN
cuesj-1638	21	62	are	be	AUX
cuesj-1638	21	63	effective	effective	ADJ
cuesj-1638	21	64	where	where	SCONJ
cuesj-1638	21	65	the	the	DET
cuesj-1638	21	66	underlying	underlying	ADJ
cuesj-1638	21	67	data	datum	NOUN
cuesj-1638	21	68	are	be	AUX
cuesj-1638	21	69	stationary	stationary	ADJ
cuesj-1638	21	70	and	and	CCONJ
cuesj-1638	21	71	the	the	DET
cuesj-1638	21	72	relationships	relationship	NOUN
cuesj-1638	21	73	are	be	AUX
cuesj-1638	21	74	linear	linear	ADJ
cuesj-1638	21	75	.	.	PUNCT
cuesj-1638	22	1	nevertheless	nevertheless	ADV
cuesj-1638	22	2	,	,	PUNCT
cuesj-1638	22	3	electric	electric	ADJ
cuesj-1638	22	4	load	load	NOUN
cuesj-1638	22	5	is	be	AUX
cuesj-1638	22	6	influenced	influence	VERB
cuesj-1638	22	7	by	by	ADP
cuesj-1638	22	8	numerous	numerous	ADJ
cuesj-1638	22	9	nonlinear	nonlinear	ADJ
cuesj-1638	22	10	factors	factor	NOUN
cuesj-1638	22	11	,	,	PUNCT
cuesj-1638	22	12	such	such	ADJ
cuesj-1638	22	13	as	as	ADP
cuesj-1638	22	14	weather	weather	NOUN
cuesj-1638	22	15	conditions	condition	NOUN
cuesj-1638	22	16	,	,	PUNCT
cuesj-1638	22	17	human	human	ADJ
cuesj-1638	22	18	activities	activity	NOUN
cuesj-1638	22	19	,	,	PUNCT
cuesj-1638	22	20	and	and	CCONJ
cuesj-1638	22	21	economic	economic	ADJ
cuesj-1638	22	22	constraints.[19	constraints.[19	NOUN
cuesj-1638	22	23	]	]	PUNCT
cuesj-1638	22	24	thus	thus	ADV
cuesj-1638	22	25	,	,	PUNCT
cuesj-1638	22	26	conventional	conventional	ADJ
cuesj-1638	22	27	models	model	NOUN
cuesj-1638	22	28	need	need	VERB
cuesj-1638	22	29	to	to	PART
cuesj-1638	22	30	be	be	AUX
cuesj-1638	22	31	frequently	frequently	ADV
cuesj-1638	22	32	retrained	retrain	VERB
cuesj-1638	22	33	and	and	CCONJ
cuesj-1638	22	34	are	be	AUX
cuesj-1638	22	35	not	not	PART
cuesj-1638	22	36	very	very	ADV
cuesj-1638	22	37	generalizable	generalizable	ADJ
cuesj-1638	22	38	in	in	ADP
cuesj-1638	22	39	dynamic	dynamic	ADJ
cuesj-1638	22	40	environments	environment	NOUN
cuesj-1638	22	41	.	.	PUNCT
cuesj-1638	23	1	fuzzy	fuzzy	ADJ
cuesj-1638	23	2	logic	logic	NOUN
cuesj-1638	23	3	in	in	ADP
cuesj-1638	23	4	load	load	NOUN
cuesj-1638	23	5	forecasting	forecast	VERB
cuesj-1638	23	6	fuzzy	fuzzy	ADJ
cuesj-1638	23	7	logic	logic	NOUN
cuesj-1638	23	8	was	be	AUX
cuesj-1638	23	9	first	first	ADV
cuesj-1638	23	10	proposed	propose	VERB
cuesj-1638	23	11	by	by	ADP
cuesj-1638	23	12	zadeh	zadeh	PROPN
cuesj-1638	23	13	(	(	PUNCT
cuesj-1638	23	14	1965	1965	NUM
cuesj-1638	23	15	)	)	PUNCT
cuesj-1638	23	16	to	to	PART
cuesj-1638	23	17	deal	deal	VERB
cuesj-1638	23	18	with	with	ADP
cuesj-1638	23	19	the	the	DET
cuesj-1638	23	20	imprecision	imprecision	NOUN
cuesj-1638	23	21	present	present	ADJ
cuesj-1638	23	22	in	in	ADP
cuesj-1638	23	23	most	most	ADJ
cuesj-1638	23	24	real	real	ADJ
cuesj-1638	23	25	-	-	PUNCT
cuesj-1638	23	26	world	world	NOUN
cuesj-1638	23	27	problems.[20	problems.[20	PROPN
cuesj-1638	23	28	]	]	X
cuesj-1638	23	29	fuzzy	fuzzy	ADJ
cuesj-1638	23	30	logic	logic	NOUN
cuesj-1638	23	31	models	model	NOUN
cuesj-1638	23	32	have	have	AUX
cuesj-1638	23	33	been	be	AUX
cuesj-1638	23	34	used	use	VERB
cuesj-1638	23	35	in	in	ADP
cuesj-1638	23	36	electric	electric	ADJ
cuesj-1638	23	37	load	load	NOUN
cuesj-1638	23	38	forecasting	forecasting	NOUN
cuesj-1638	23	39	to	to	PART
cuesj-1638	23	40	incorporate	incorporate	VERB
cuesj-1638	23	41	human	human	ADJ
cuesj-1638	23	42	knowledge	knowledge	NOUN
cuesj-1638	23	43	and	and	CCONJ
cuesj-1638	23	44	heuristic	heuristic	ADJ
cuesj-1638	23	45	rules	rule	NOUN
cuesj-1638	23	46	,	,	PUNCT
cuesj-1638	23	47	such	such	ADJ
cuesj-1638	23	48	as	as	ADP
cuesj-1638	23	49	“	"	PUNCT
cuesj-1638	23	50	if	if	SCONJ
cuesj-1638	23	51	temperature	temperature	NOUN
cuesj-1638	23	52	is	be	AUX
cuesj-1638	23	53	high	high	ADJ
cuesj-1638	23	54	,	,	PUNCT
cuesj-1638	23	55	then	then	ADV
cuesj-1638	23	56	load	load	NOUN
cuesj-1638	23	57	is	be	AUX
cuesj-1638	23	58	likely	likely	ADJ
cuesj-1638	23	59	to	to	PART
cuesj-1638	23	60	be	be	AUX
cuesj-1638	23	61	high	high	ADJ
cuesj-1638	23	62	.	.	PUNCT
cuesj-1638	23	63	”	"	PUNCT
cuesj-1638	24	1	such	such	ADJ
cuesj-1638	24	2	models	model	NOUN
cuesj-1638	24	3	are	be	AUX
cuesj-1638	24	4	highly	highly	ADV
cuesj-1638	24	5	interpretable	interpretable	ADJ
cuesj-1638	24	6	and	and	CCONJ
cuesj-1638	24	7	can	can	AUX
cuesj-1638	24	8	perform	perform	VERB
cuesj-1638	24	9	well	well	ADV
cuesj-1638	24	10	even	even	ADV
cuesj-1638	24	11	with	with	ADP
cuesj-1638	24	12	noisy	noisy	ADJ
cuesj-1638	24	13	or	or	CCONJ
cuesj-1638	24	14	limited	limited	ADJ
cuesj-1638	24	15	data.[21	data.[21	PROPN
cuesj-1638	24	16	]	]	PUNCT
cuesj-1638	24	17	fuzzy	fuzzy	ADJ
cuesj-1638	24	18	logic	logic	NOUN
cuesj-1638	24	19	forecasting	forecasting	NOUN
cuesj-1638	24	20	has	have	AUX
cuesj-1638	24	21	been	be	AUX
cuesj-1638	24	22	shown	show	VERB
cuesj-1638	24	23	to	to	PART
cuesj-1638	24	24	outperform	outperform	VERB
cuesj-1638	24	25	the	the	DET
cuesj-1638	24	26	traditional	traditional	ADJ
cuesj-1638	24	27	linear	linear	ADJ
cuesj-1638	24	28	models	model	NOUN
cuesj-1638	24	29	,	,	PUNCT
cuesj-1638	24	30	especially	especially	ADV
cuesj-1638	24	31	for	for	ADP
cuesj-1638	24	32	short	short	ADJ
cuesj-1638	24	33	-	-	PUNCT
cuesj-1638	24	34	term	term	NOUN
cuesj-1638	24	35	instances	instance	NOUN
cuesj-1638	24	36	of	of	ADP
cuesj-1638	24	37	varying	vary	VERB
cuesj-1638	24	38	demand.[22	demand.[22	PROPN
cuesj-1638	24	39	]	]	PUNCT
cuesj-1638	24	40	various	various	ADJ
cuesj-1638	24	41	types	type	NOUN
cuesj-1638	24	42	of	of	ADP
cuesj-1638	24	43	fuzzy	fuzzy	ADJ
cuesj-1638	24	44	systems	system	NOUN
cuesj-1638	24	45	have	have	AUX
cuesj-1638	24	46	been	be	AUX
cuesj-1638	24	47	studied	study	VERB
cuesj-1638	24	48	,	,	PUNCT
cuesj-1638	24	49	including	include	VERB
cuesj-1638	24	50	the	the	DET
cuesj-1638	24	51	mamdani	mamdani	NOUN
cuesj-1638	24	52	and	and	CCONJ
cuesj-1638	24	53	sugeno	sugeno	NOUN
cuesj-1638	24	54	models	model	NOUN
cuesj-1638	24	55	.	.	PUNCT
cuesj-1638	25	1	the	the	DET
cuesj-1638	25	2	mamdani	mamdani	PROPN
cuesj-1638	25	3	models	model	NOUN
cuesj-1638	25	4	make	make	VERB
cuesj-1638	25	5	use	use	NOUN
cuesj-1638	25	6	of	of	ADP
cuesj-1638	25	7	fuzzy	fuzzy	ADJ
cuesj-1638	25	8	sets	set	NOUN
cuesj-1638	25	9	for	for	ADP
cuesj-1638	25	10	input	input	NOUN
cuesj-1638	25	11	and	and	CCONJ
cuesj-1638	25	12	output	output	NOUN
cuesj-1638	25	13	variables	variable	NOUN
cuesj-1638	25	14	,	,	PUNCT
cuesj-1638	25	15	while	while	SCONJ
cuesj-1638	25	16	the	the	DET
cuesj-1638	25	17	sugeno	sugeno	NOUN
cuesj-1638	25	18	models	model	NOUN
cuesj-1638	25	19	incorporate	incorporate	VERB
cuesj-1638	25	20	crisp	crisp	ADJ
cuesj-1638	25	21	outputs	output	NOUN
cuesj-1638	25	22	and	and	CCONJ
cuesj-1638	25	23	are	be	AUX
cuesj-1638	25	24	more	more	ADV
cuesj-1638	25	25	computationally	computationally	ADV
cuesj-1638	25	26	efficient	efficient	ADJ
cuesj-1638	25	27	.	.	PUNCT
cuesj-1638	26	1	the	the	DET
cuesj-1638	26	2	selection	selection	NOUN
cuesj-1638	26	3	of	of	ADP
cuesj-1638	26	4	the	the	DET
cuesj-1638	26	5	two	two	NUM
cuesj-1638	26	6	models	model	NOUN
cuesj-1638	26	7	is	be	AUX
cuesj-1638	26	8	based	base	VERB
cuesj-1638	26	9	on	on	ADP
cuesj-1638	26	10	the	the	DET
cuesj-1638	26	11	complexity	complexity	NOUN
cuesj-1638	26	12	of	of	ADP
cuesj-1638	26	13	the	the	DET
cuesj-1638	26	14	application	application	NOUN
cuesj-1638	26	15	and	and	CCONJ
cuesj-1638	26	16	whether	whether	SCONJ
cuesj-1638	26	17	interpretability	interpretability	NOUN
cuesj-1638	26	18	is	be	AUX
cuesj-1638	26	19	required.[23	required.[23	NOUN
cuesj-1638	26	20	]	]	PUNCT
cuesj-1638	26	21	kalman	kalman	NOUN
cuesj-1638	26	22	filtering	filter	VERB
cuesj-1638	26	23	in	in	ADP
cuesj-1638	26	24	forecasting	forecasting	PROPN
cuesj-1638	26	25	kfs	kfs	PROPN
cuesj-1638	26	26	,	,	PUNCT
cuesj-1638	26	27	which	which	PRON
cuesj-1638	26	28	were	be	AUX
cuesj-1638	26	29	suggested	suggest	VERB
cuesj-1638	26	30	by	by	ADP
cuesj-1638	26	31	kalman	kalman	PROPN
cuesj-1638	26	32	in	in	ADP
cuesj-1638	26	33	1960,[24	1960,[24	PROPN
cuesj-1638	26	34	]	]	PUNCT
cuesj-1638	26	35	are	be	AUX
cuesj-1638	26	36	an	an	DET
cuesj-1638	26	37	optimum	optimum	ADJ
cuesj-1638	26	38	recursive	recursive	ADJ
cuesj-1638	26	39	linear	linear	NOUN
cuesj-1638	26	40	system	system	NOUN
cuesj-1638	26	41	estimation	estimation	NOUN
cuesj-1638	26	42	algorithm	algorithm	NOUN
cuesj-1638	26	43	for	for	ADP
cuesj-1638	26	44	gaussian	gaussian	ADJ
cuesj-1638	26	45	noise	noise	NOUN
cuesj-1638	26	46	.	.	PUNCT
cuesj-1638	27	1	kfs	kfs	PROPN
cuesj-1638	27	2	have	have	AUX
cuesj-1638	27	3	been	be	AUX
cuesj-1638	27	4	used	use	VERB
cuesj-1638	27	5	in	in	ADP
cuesj-1638	27	6	energy	energy	NOUN
cuesj-1638	27	7	systems	system	NOUN
cuesj-1638	27	8	for	for	ADP
cuesj-1638	27	9	filtering	filter	VERB
cuesj-1638	27	10	measurement	measurement	NOUN
cuesj-1638	27	11	noise	noise	NOUN
cuesj-1638	27	12	from	from	ADP
cuesj-1638	27	13	loads	load	NOUN
cuesj-1638	27	14	and	and	CCONJ
cuesj-1638	27	15	estimating	estimate	VERB
cuesj-1638	27	16	realtime	realtime	NOUN
cuesj-1638	27	17	system	system	NOUN
cuesj-1638	27	18	states.[25	states.[25	PROPN
cuesj-1638	27	19	]	]	X
cuesj-1638	27	20	extended	extend	VERB
cuesj-1638	27	21	kfs	kfs	PROPN
cuesj-1638	27	22	and	and	CCONJ
cuesj-1638	27	23	unscented	unscente	VERB
cuesj-1638	27	24	kfs	kfs	PROPN
cuesj-1638	27	25	have	have	AUX
cuesj-1638	27	26	been	be	AUX
cuesj-1638	27	27	suggested	suggest	VERB
cuesj-1638	27	28	to	to	PART
cuesj-1638	27	29	allow	allow	VERB
cuesj-1638	27	30	handling	handle	VERB
cuesj-1638	27	31	nonlinear	nonlinear	ADJ
cuesj-1638	27	32	dynamics,[26	dynamics,[26	NOUN
cuesj-1638	27	33	]	]	PUNCT
cuesj-1638	27	34	but	but	CCONJ
cuesj-1638	27	35	the	the	DET
cuesj-1638	27	36	performance	performance	NOUN
cuesj-1638	27	37	degrades	degrade	VERB
cuesj-1638	27	38	as	as	SCONJ
cuesj-1638	27	39	the	the	DET
cuesj-1638	27	40	noise	noise	NOUN
cuesj-1638	27	41	statistics	statistic	NOUN
cuesj-1638	27	42	change	change	VERB
cuesj-1638	27	43	with	with	ADP
cuesj-1638	27	44	time.[27	time.[27	PROPN
cuesj-1638	27	45	]	]	PUNCT
cuesj-1638	27	46	a	a	DET
cuesj-1638	27	47	significant	significant	ADJ
cuesj-1638	27	48	drawback	drawback	NOUN
cuesj-1638	27	49	of	of	ADP
cuesj-1638	27	50	conventional	conventional	ADJ
cuesj-1638	27	51	kalman	kalman	NOUN
cuesj-1638	27	52	filtering	filtering	NOUN
cuesj-1638	27	53	is	be	AUX
cuesj-1638	27	54	its	its	PRON
cuesj-1638	27	55	assumption	assumption	NOUN
cuesj-1638	27	56	of	of	ADP
cuesj-1638	27	57	constant	constant	ADJ
cuesj-1638	27	58	and	and	CCONJ
cuesj-1638	27	59	fixed	fix	VERB
cuesj-1638	27	60	noise	noise	NOUN
cuesj-1638	27	61	covariances	covariance	NOUN
cuesj-1638	27	62	(	(	PUNCT
cuesj-1638	27	63	r	r	NOUN
cuesj-1638	27	64	and	and	CCONJ
cuesj-1638	27	65	q	q	NOUN
cuesj-1638	27	66	)	)	PUNCT
cuesj-1638	27	67	.	.	PUNCT
cuesj-1638	28	1	in	in	ADP
cuesj-1638	28	2	practice	practice	NOUN
cuesj-1638	28	3	,	,	PUNCT
cuesj-1638	28	4	such	such	ADJ
cuesj-1638	28	5	parameters	parameter	NOUN
cuesj-1638	28	6	are	be	AUX
cuesj-1638	28	7	rarely	rarely	ADV
cuesj-1638	28	8	stable	stable	ADJ
cuesj-1638	28	9	,	,	PUNCT
cuesj-1638	28	10	particularly	particularly	ADV
cuesj-1638	28	11	in	in	ADP
cuesj-1638	28	12	situations	situation	NOUN
cuesj-1638	28	13	influenced	influence	VERB
cuesj-1638	28	14	by	by	ADP
cuesj-1638	28	15	external	external	ADJ
cuesj-1638	28	16	variables	variable	NOUN
cuesj-1638	28	17	such	such	ADJ
cuesj-1638	28	18	as	as	ADP
cuesj-1638	28	19	temperature	temperature	NOUN
cuesj-1638	28	20	,	,	PUNCT
cuesj-1638	28	21	weather	weather	NOUN
cuesj-1638	28	22	conditions	condition	NOUN
cuesj-1638	28	23	,	,	PUNCT
cuesj-1638	28	24	and	and	CCONJ
cuesj-1638	28	25	human	human	PROPN
cuesj-1638	28	26	activity.[28,29	activity.[28,29	PROPN
cuesj-1638	28	27	]	]	PUNCT
cuesj-1638	28	28	hybrid	hybrid	NOUN
cuesj-1638	28	29	models	model	NOUN
cuesj-1638	28	30	:	:	PUNCT
cuesj-1638	28	31	fuzzy	fuzzy	ADJ
cuesj-1638	28	32	adaptive	adaptive	ADJ
cuesj-1638	28	33	kalman	kalman	NOUN
cuesj-1638	28	34	filtering	filter	VERB
cuesj-1638	28	35	hybrid	hybrid	ADJ
cuesj-1638	28	36	approaches	approach	NOUN
cuesj-1638	28	37	of	of	ADP
cuesj-1638	28	38	kalman	kalman	PROPN
cuesj-1638	28	39	filtering	filtering	NOUN
cuesj-1638	28	40	and	and	CCONJ
cuesj-1638	28	41	fuzzy	fuzzy	ADJ
cuesj-1638	28	42	logic	logic	NOUN
cuesj-1638	28	43	have	have	AUX
cuesj-1638	28	44	received	receive	VERB
cuesj-1638	28	45	much	much	ADJ
cuesj-1638	28	46	attention	attention	NOUN
cuesj-1638	28	47	due	due	ADP
cuesj-1638	28	48	to	to	ADP
cuesj-1638	28	49	their	their	PRON
cuesj-1638	28	50	adaptation	adaptation	NOUN
cuesj-1638	28	51	capabilities	capability	NOUN
cuesj-1638	28	52	under	under	ADP
cuesj-1638	28	53	varying	vary	VERB
cuesj-1638	28	54	conditions	condition	NOUN
cuesj-1638	28	55	.	.	PUNCT
cuesj-1638	29	1	in	in	ADP
cuesj-1638	29	2	such	such	ADJ
cuesj-1638	29	3	approaches	approach	NOUN
cuesj-1638	29	4	,	,	PUNCT
cuesj-1638	29	5	fuzzy	fuzzy	ADJ
cuesj-1638	29	6	inference	inference	NOUN
cuesj-1638	29	7	systems	system	NOUN
cuesj-1638	29	8	adaptively	adaptively	ADV
cuesj-1638	29	9	change	change	VERB
cuesj-1638	29	10	the	the	DET
cuesj-1638	29	11	noise	noise	NOUN
cuesj-1638	29	12	covariance	covariance	NOUN
cuesj-1638	29	13	’s	’s	PART
cuesj-1638	29	14	r	r	NOUN
cuesj-1638	29	15	and/or	and/or	CCONJ
cuesj-1638	29	16	q	q	NOUN
cuesj-1638	29	17	in	in	ADP
cuesj-1638	29	18	real	real	ADJ
cuesj-1638	29	19	-	-	PUNCT
cuesj-1638	29	20	time	time	NOUN
cuesj-1638	29	21	,	,	PUNCT
cuesj-1638	29	22	depending	depend	VERB
cuesj-1638	29	23	on	on	ADP
cuesj-1638	29	24	auxiliary	auxiliary	ADJ
cuesj-1638	29	25	variables	variable	NOUN
cuesj-1638	29	26	.	.	PUNCT
cuesj-1638	30	1	for	for	ADP
cuesj-1638	30	2	instance,[30	instance,[30	PROPN
cuesj-1638	30	3	]	]	X
cuesj-1638	30	4	r	r	NOUN
cuesj-1638	30	5	is	be	AUX
cuesj-1638	30	6	considered	consider	VERB
cuesj-1638	30	7	to	to	PART
cuesj-1638	30	8	be	be	AUX
cuesj-1638	30	9	regulated	regulate	VERB
cuesj-1638	30	10	by	by	ADP
cuesj-1638	30	11	a	a	DET
cuesj-1638	30	12	fuzzy	fuzzy	ADJ
cuesj-1638	30	13	logic	logic	NOUN
cuesj-1638	30	14	controller	controller	NOUN
cuesj-1638	30	15	according	accord	VERB
cuesj-1638	30	16	to	to	ADP
cuesj-1638	30	17	load	load	NOUN
cuesj-1638	30	18	and	and	CCONJ
cuesj-1638	30	19	temperature	temperature	NOUN
cuesj-1638	30	20	changes	change	NOUN
cuesj-1638	30	21	,	,	PUNCT
cuesj-1638	30	22	resulting	result	VERB
cuesj-1638	30	23	in	in	ADP
cuesj-1638	30	24	better	well	ADJ
cuesj-1638	30	25	tracking	tracking	NOUN
cuesj-1638	30	26	performance	performance	NOUN
cuesj-1638	30	27	.	.	PUNCT
cuesj-1638	31	1	the	the	DET
cuesj-1638	31	2	same	same	ADJ
cuesj-1638	31	3	hybrid	hybrid	NOUN
cuesj-1638	31	4	models	model	NOUN
cuesj-1638	31	5	have	have	AUX
cuesj-1638	31	6	been	be	AUX
cuesj-1638	31	7	applied	apply	VERB
cuesj-1638	31	8	in	in	ADP
cuesj-1638	31	9	other	other	ADJ
cuesj-1638	31	10	areas	area	NOUN
cuesj-1638	31	11	,	,	PUNCT
cuesj-1638	31	12	including	include	VERB
cuesj-1638	31	13	finance	finance	NOUN
cuesj-1638	31	14	and	and	CCONJ
cuesj-1638	31	15	robotics	robotic	NOUN
cuesj-1638	31	16	,	,	PUNCT
cuesj-1638	31	17	and	and	CCONJ
cuesj-1638	31	18	their	their	PRON
cuesj-1638	31	19	applicability	applicability	NOUN
cuesj-1638	31	20	is	be	AUX
cuesj-1638	31	21	attested.[31	attested.[31	PROPN
cuesj-1638	31	22	]	]	PUNCT
cuesj-1638	31	23	studies	study	NOUN
cuesj-1638	31	24	have	have	AUX
cuesj-1638	31	25	shown	show	VERB
cuesj-1638	31	26	that	that	SCONJ
cuesj-1638	31	27	fakf	fakf	NOUN
cuesj-1638	31	28	models	model	NOUN
cuesj-1638	31	29	can	can	AUX
cuesj-1638	31	30	outperform	outperform	VERB
cuesj-1638	31	31	both	both	CCONJ
cuesj-1638	31	32	fls	fls	PROPN
cuesj-1638	31	33	and	and	CCONJ
cuesj-1638	31	34	conventional	conventional	PROPN
cuesj-1638	31	35	kfs	kfs	PROPN
cuesj-1638	31	36	,	,	PUNCT
cuesj-1638	31	37	particularly	particularly	ADV
cuesj-1638	31	38	in	in	ADP
cuesj-1638	31	39	systems	system	NOUN
cuesj-1638	31	40	with	with	ADP
cuesj-1638	31	41	highly	highly	ADV
cuesj-1638	31	42	varying	varying	ADJ
cuesj-1638	31	43	and	and	CCONJ
cuesj-1638	31	44	nonlinear	nonlinear	ADJ
cuesj-1638	31	45	dynamics[32	dynamics[32	PROPN
cuesj-1638	31	46	]	]	X
cuesj-1638	31	47	good	good	ADJ
cuesj-1638	31	48	fuzzy	fuzzy	ADJ
cuesj-1638	31	49	rules	rule	NOUN
cuesj-1638	31	50	and	and	CCONJ
cuesj-1638	31	51	membership	membership	NOUN
cuesj-1638	31	52	functions	function	NOUN
cuesj-1638	31	53	remain	remain	VERB
cuesj-1638	31	54	challenging	challenging	ADJ
cuesj-1638	31	55	to	to	PART
cuesj-1638	31	56	design	design	VERB
cuesj-1638	31	57	and	and	CCONJ
cuesj-1638	31	58	generally	generally	ADV
cuesj-1638	31	59	require	require	VERB
cuesj-1638	31	60	expert	expert	NOUN
cuesj-1638	31	61	insight	insight	NOUN
cuesj-1638	31	62	or	or	CCONJ
cuesj-1638	31	63	tuning	tune	VERB
cuesj-1638	31	64	using	use	VERB
cuesj-1638	31	65	optimization	optimization	NOUN
cuesj-1638	31	66	algorithms.[33	algorithms.[33	NOUN
cuesj-1638	31	67	]	]	PUNCT
cuesj-1638	31	68	despite	despite	SCONJ
cuesj-1638	31	69	the	the	DET
cuesj-1638	31	70	extensive	extensive	ADJ
cuesj-1638	31	71	discussions	discussion	NOUN
cuesj-1638	31	72	about	about	ADP
cuesj-1638	31	73	hybrid	hybrid	NOUN
cuesj-1638	31	74	models	model	NOUN
cuesj-1638	31	75	,	,	PUNCT
cuesj-1638	31	76	there	there	PRON
cuesj-1638	31	77	is	be	VERB
cuesj-1638	31	78	still	still	ADV
cuesj-1638	31	79	a	a	DET
cuesj-1638	31	80	notable	notable	ADJ
cuesj-1638	31	81	lack	lack	NOUN
cuesj-1638	31	82	of	of	ADP
cuesj-1638	31	83	studies	study	NOUN
cuesj-1638	31	84	comparing	compare	VERB
cuesj-1638	31	85	pure	pure	ADJ
cuesj-1638	31	86	fuzzy	fuzzy	ADJ
cuesj-1638	31	87	logic	logic	NOUN
cuesj-1638	31	88	with	with	ADP
cuesj-1638	31	89	fakf	fakf	NOUN
cuesj-1638	31	90	in	in	ADP
cuesj-1638	31	91	the	the	DET
cuesj-1638	31	92	field	field	NOUN
cuesj-1638	31	93	of	of	ADP
cuesj-1638	31	94	load	load	NOUN
cuesj-1638	31	95	forecasting	forecasting	NOUN
cuesj-1638	31	96	applications	application	NOUN
cuesj-1638	31	97	.	.	PUNCT
cuesj-1638	32	1	this	this	DET
cuesj-1638	32	2	gap	gap	NOUN
cuesj-1638	32	3	underscores	underscore	VERB
cuesj-1638	32	4	the	the	DET
cuesj-1638	32	5	need	need	NOUN
cuesj-1638	32	6	for	for	ADP
cuesj-1638	32	7	further	further	ADJ
cuesj-1638	32	8	research	research	NOUN
cuesj-1638	32	9	,	,	PUNCT
cuesj-1638	32	10	which	which	PRON
cuesj-1638	32	11	our	our	PRON
cuesj-1638	32	12	current	current	ADJ
cuesj-1638	32	13	study	study	NOUN
cuesj-1638	32	14	intends	intend	VERB
cuesj-1638	32	15	to	to	ADP
cuesj-1638	32	16	explore.[34	explore.[34	VERB
cuesj-1638	32	17	]	]	PUNCT
cuesj-1638	32	18	thus	thus	ADV
cuesj-1638	32	19	,	,	PUNCT
cuesj-1638	32	20	this	this	DET
cuesj-1638	32	21	study	study	NOUN
cuesj-1638	32	22	aims	aim	VERB
cuesj-1638	32	23	to	to	PART
cuesj-1638	32	24	address	address	VERB
cuesj-1638	32	25	the	the	DET
cuesj-1638	32	26	existing	exist	VERB
cuesj-1638	32	27	gap	gap	NOUN
cuesj-1638	32	28	by	by	ADP
cuesj-1638	32	29	developing	develop	VERB
cuesj-1638	32	30	and	and	CCONJ
cuesj-1638	32	31	evaluating	evaluate	VERB
cuesj-1638	32	32	a	a	DET
cuesj-1638	32	33	hybrid	hybrid	ADJ
cuesj-1638	32	34	fuzzy	fuzzy	ADJ
cuesj-1638	32	35	-	-	PUNCT
cuesj-1638	32	36	kf	kf	PROPN
cuesj-1638	32	37	model	model	NOUN
cuesj-1638	32	38	specifically	specifically	ADV
cuesj-1638	32	39	designed	design	VERB
cuesj-1638	32	40	for	for	ADP
cuesj-1638	32	41	the	the	DET
cuesj-1638	32	42	electricity	electricity	NOUN
cuesj-1638	32	43	load	load	NOUN
cuesj-1638	32	44	profile	profile	NOUN
cuesj-1638	32	45	of	of	ADP
cuesj-1638	32	46	the	the	DET
cuesj-1638	32	47	kurdistan	kurdistan	PROPN
cuesj-1638	32	48	region	region	NOUN
cuesj-1638	32	49	,	,	PUNCT
cuesj-1638	32	50	and	and	CCONJ
cuesj-1638	32	51	comparing	compare	VERB
cuesj-1638	32	52	its	its	PRON
cuesj-1638	32	53	performance	performance	NOUN
cuesj-1638	32	54	to	to	ADP
cuesj-1638	32	55	that	that	PRON
cuesj-1638	32	56	of	of	ADP
cuesj-1638	32	57	a	a	DET
cuesj-1638	32	58	standalone	standalone	ADJ
cuesj-1638	32	59	fuzzy	fuzzy	ADJ
cuesj-1638	32	60	logic	logic	NOUN
cuesj-1638	32	61	model	model	NOUN
cuesj-1638	32	62	.	.	PUNCT
cuesj-1638	33	1	methodology	methodology	VERB
cuesj-1638	33	2	the	the	DET
cuesj-1638	33	3	methodology	methodology	NOUN
cuesj-1638	33	4	of	of	ADP
cuesj-1638	33	5	this	this	DET
cuesj-1638	33	6	study	study	NOUN
cuesj-1638	33	7	is	be	AUX
cuesj-1638	33	8	structured	structure	VERB
cuesj-1638	33	9	in	in	ADP
cuesj-1638	33	10	a	a	DET
cuesj-1638	33	11	systematic	systematic	ADJ
cuesj-1638	33	12	sequence	sequence	NOUN
cuesj-1638	33	13	.	.	PUNCT
cuesj-1638	34	1	it	it	PRON
cuesj-1638	34	2	begins	begin	VERB
cuesj-1638	34	3	with	with	ADP
cuesj-1638	34	4	dataset	dataset	ADJ
cuesj-1638	34	5	preparation	preparation	NOUN
cuesj-1638	34	6	,	,	PUNCT
cuesj-1638	34	7	followed	follow	VERB
cuesj-1638	34	8	by	by	ADP
cuesj-1638	34	9	the	the	DET
cuesj-1638	34	10	implementation	implementation	NOUN
cuesj-1638	34	11	of	of	ADP
cuesj-1638	34	12	a	a	DET
cuesj-1638	34	13	fuzzy	fuzzy	ADJ
cuesj-1638	34	14	logic	logic	NOUN
cuesj-1638	34	15	model	model	NOUN
cuesj-1638	34	16	to	to	PART
cuesj-1638	34	17	produce	produce	VERB
cuesj-1638	34	18	initial	initial	ADJ
cuesj-1638	34	19	load	load	NOUN
cuesj-1638	34	20	forecasts	forecast	NOUN
cuesj-1638	34	21	.	.	PUNCT
cuesj-1638	35	1	subsequently	subsequently	ADV
cuesj-1638	35	2	,	,	PUNCT
cuesj-1638	35	3	a	a	DET
cuesj-1638	35	4	kf	kf	PROPN
cuesj-1638	35	5	is	be	AUX
cuesj-1638	35	6	incorporated	incorporate	VERB
cuesj-1638	35	7	to	to	PART
cuesj-1638	35	8	enhance	enhance	VERB
cuesj-1638	35	9	these	these	DET
cuesj-1638	35	10	forecasts	forecast	NOUN
cuesj-1638	35	11	.	.	PUNCT
cuesj-1638	36	1	finally	finally	ADV
cuesj-1638	36	2	,	,	PUNCT
cuesj-1638	36	3	the	the	DET
cuesj-1638	36	4	performance	performance	NOUN
cuesj-1638	36	5	of	of	ADP
cuesj-1638	36	6	both	both	CCONJ
cuesj-1638	36	7	the	the	DET
cuesj-1638	36	8	standalone	standalone	ADJ
cuesj-1638	36	9	and	and	CCONJ
cuesj-1638	36	10	hybrid	hybrid	NOUN
cuesj-1638	36	11	models	model	NOUN
cuesj-1638	36	12	is	be	AUX
cuesj-1638	36	13	assessed	assess	VERB
cuesj-1638	36	14	using	use	VERB
cuesj-1638	36	15	standard	standard	ADJ
cuesj-1638	36	16	accuracy	accuracy	NOUN
cuesj-1638	36	17	metrics	metric	NOUN
cuesj-1638	36	18	.	.	PUNCT
cuesj-1638	37	1	by	by	ADP
cuesj-1638	37	2	combining	combine	VERB
cuesj-1638	37	3	fuzzy	fuzzy	ADJ
cuesj-1638	37	4	logic	logic	NOUN
cuesj-1638	37	5	with	with	ADP
cuesj-1638	37	6	the	the	DET
cuesj-1638	37	7	kf	kf	PROPN
cuesj-1638	37	8	,	,	PUNCT
cuesj-1638	37	9	the	the	DET
cuesj-1638	37	10	study	study	NOUN
cuesj-1638	37	11	develops	develop	VERB
cuesj-1638	37	12	a	a	DET
cuesj-1638	37	13	hybrid	hybrid	NOUN
cuesj-1638	37	14	modelling	modelling	NOUN
cuesj-1638	37	15	approach	approach	NOUN
cuesj-1638	37	16	that	that	PRON
cuesj-1638	37	17	provides	provide	VERB
cuesj-1638	37	18	more	more	ADV
cuesj-1638	37	19	stable	stable	ADJ
cuesj-1638	37	20	predictions	prediction	NOUN
cuesj-1638	37	21	for	for	ADP
cuesj-1638	37	22	electricity	electricity	NOUN
cuesj-1638	37	23	load	load	NOUN
cuesj-1638	37	24	.	.	PUNCT
cuesj-1638	38	1	there	there	PRON
cuesj-1638	38	2	are	be	VERB
cuesj-1638	38	3	four	four	NUM
cuesj-1638	38	4	fundamental	fundamental	ADJ
cuesj-1638	38	5	phases	phase	NOUN
cuesj-1638	38	6	in	in	ADP
cuesj-1638	38	7	the	the	DET
cuesj-1638	38	8	methodology	methodology	NOUN
cuesj-1638	38	9	:	:	PUNCT
cuesj-1638	38	10	1	1	X
cuesj-1638	38	11	.	.	X
cuesj-1638	38	12	data	datum	NOUN
cuesj-1638	38	13	preparation	preparation	NOUN
cuesj-1638	38	14	data	datum	NOUN
cuesj-1638	38	15	on	on	ADP
cuesj-1638	38	16	electricity	electricity	NOUN
cuesj-1638	38	17	loads	load	NOUN
cuesj-1638	38	18	over	over	ADP
cuesj-1638	38	19	24	24	NUM
cuesj-1638	38	20	h	h	NOUN
cuesj-1638	38	21	was	be	AUX
cuesj-1638	38	22	collected	collect	VERB
cuesj-1638	38	23	,	,	PUNCT
cuesj-1638	38	24	along	along	ADP
cuesj-1638	38	25	with	with	ADP
cuesj-1638	38	26	temperature	temperature	NOUN
cuesj-1638	38	27	data	datum	NOUN
cuesj-1638	38	28	.	.	PUNCT
cuesj-1638	39	1	load	load	NOUN
cuesj-1638	39	2	values	value	NOUN
cuesj-1638	39	3	were	be	AUX
cuesj-1638	39	4	used	use	VERB
cuesj-1638	39	5	as	as	ADP
cuesj-1638	39	6	the	the	DET
cuesj-1638	39	7	target	target	NOUN
cuesj-1638	39	8	variable	variable	NOUN
cuesj-1638	39	9	,	,	PUNCT
cuesj-1638	39	10	and	and	CCONJ
cuesj-1638	39	11	temperature	temperature	NOUN
cuesj-1638	39	12	was	be	AUX
cuesj-1638	39	13	added	add	VERB
cuesj-1638	39	14	as	as	ADP
cuesj-1638	39	15	an	an	DET
cuesj-1638	39	16	input	input	NOUN
cuesj-1638	39	17	to	to	ADP
cuesj-1638	39	18	the	the	DET
cuesj-1638	39	19	fuzzy	fuzzy	ADJ
cuesj-1638	39	20	model	model	NOUN
cuesj-1638	39	21	to	to	PART
cuesj-1638	39	22	adjust	adjust	VERB
cuesj-1638	39	23	for	for	ADP
cuesj-1638	39	24	external	external	ADJ
cuesj-1638	39	25	influences	influence	NOUN
cuesj-1638	39	26	on	on	ADP
cuesj-1638	39	27	demand	demand	NOUN
cuesj-1638	39	28	.	.	PUNCT
cuesj-1638	40	1	2	2	X
cuesj-1638	40	2	.	.	X
cuesj-1638	40	3	fuzzy	fuzzy	ADJ
cuesj-1638	40	4	logic	logic	NOUN
cuesj-1638	40	5	load	load	NOUN
cuesj-1638	40	6	estimation	estimation	NOUN
cuesj-1638	40	7	a	a	DET
cuesj-1638	40	8	system	system	NOUN
cuesj-1638	40	9	that	that	PRON
cuesj-1638	40	10	relied	rely	VERB
cuesj-1638	40	11	on	on	ADP
cuesj-1638	40	12	fuzzy	fuzzy	ADJ
cuesj-1638	40	13	inference	inference	NOUN
cuesj-1638	40	14	was	be	AUX
cuesj-1638	40	15	developed	develop	VERB
cuesj-1638	40	16	to	to	PART
cuesj-1638	40	17	estimate	estimate	VERB
cuesj-1638	40	18	the	the	DET
cuesj-1638	40	19	load	load	NOUN
cuesj-1638	40	20	by	by	ADP
cuesj-1638	40	21	analysing	analyse	VERB
cuesj-1638	40	22	temperature	temperature	NOUN
cuesj-1638	40	23	variations	variation	NOUN
cuesj-1638	40	24	.	.	PUNCT
cuesj-1638	41	1	the	the	DET
cuesj-1638	41	2	initial	initial	ADJ
cuesj-1638	41	3	load	load	NOUN
cuesj-1638	41	4	estimates	estimate	NOUN
cuesj-1638	41	5	were	be	AUX
cuesj-1638	41	6	obtained	obtain	VERB
cuesj-1638	41	7	through	through	ADP
cuesj-1638	41	8	fuzzy	fuzzy	ADJ
cuesj-1638	41	9	regression	regression	NOUN
cuesj-1638	41	10	after	after	ADP
cuesj-1638	41	11	designing	design	VERB
cuesj-1638	41	12	triangular	triangular	NOUN
cuesj-1638	41	13	membership	membership	NOUN
cuesj-1638	41	14	functions	function	NOUN
cuesj-1638	41	15	for	for	ADP
cuesj-1638	41	16	the	the	DET
cuesj-1638	41	17	temperature	temperature	NOUN
cuesj-1638	41	18	variable	variable	NOUN
cuesj-1638	41	19	.	.	PUNCT
cuesj-1638	42	1	3	3	X
cuesj-1638	42	2	.	.	X
cuesj-1638	42	3	kf	kf	NOUN
cuesj-1638	42	4	integration	integration	NOUN
cuesj-1638	42	5	the	the	DET
cuesj-1638	42	6	outputs	output	NOUN
cuesj-1638	42	7	were	be	AUX
cuesj-1638	42	8	fuzzy	fuzzy	ADJ
cuesj-1638	42	9	and	and	CCONJ
cuesj-1638	42	10	then	then	ADV
cuesj-1638	42	11	subjected	subject	VERB
cuesj-1638	42	12	to	to	ADP
cuesj-1638	42	13	a	a	DET
cuesj-1638	42	14	kf	kf	NOUN
cuesj-1638	42	15	to	to	PART
cuesj-1638	42	16	smooth	smooth	VERB
cuesj-1638	42	17	out	out	ADP
cuesj-1638	42	18	fluctuations	fluctuation	NOUN
cuesj-1638	42	19	and	and	CCONJ
cuesj-1638	42	20	improve	improve	VERB
cuesj-1638	42	21	the	the	DET
cuesj-1638	42	22	stability	stability	NOUN
cuesj-1638	42	23	of	of	ADP
cuesj-1638	42	24	the	the	DET
cuesj-1638	42	25	time	time	NOUN
cuesj-1638	42	26	series	series	NOUN
cuesj-1638	42	27	.	.	PUNCT
cuesj-1638	43	1	the	the	DET
cuesj-1638	43	2	filter	filter	NOUN
cuesj-1638	43	3	was	be	AUX
cuesj-1638	43	4	set	set	VERB
cuesj-1638	43	5	to	to	ADP
cuesj-1638	43	6	the	the	DET
cuesj-1638	43	7	mean	mean	NOUN
cuesj-1638	43	8	and	and	CCONJ
cuesj-1638	43	9	variance	variance	NOUN
cuesj-1638	43	10	yahya	yahya	PROPN
cuesj-1638	43	11	and	and	CCONJ
cuesj-1638	43	12	mawlood	mawlood	NOUN
cuesj-1638	43	13	:	:	PUNCT
cuesj-1638	43	14	a	a	DET
cuesj-1638	43	15	hybrid	hybrid	ADJ
cuesj-1638	43	16	fuzzy	fuzzy	ADJ
cuesj-1638	43	17	-	-	PUNCT
cuesj-1638	43	18	kalman	kalman	NOUN
cuesj-1638	43	19	filtering	filtering	NOUN
cuesj-1638	43	20	for	for	ADP
cuesj-1638	43	21	short	short	ADJ
cuesj-1638	43	22	-	-	PUNCT
cuesj-1638	43	23	term	term	NOUN
cuesj-1638	43	24	electricity	electricity	NOUN
cuesj-1638	43	25	load	load	NOUN
cuesj-1638	43	26	119	119	NUM
cuesj-1638	43	27	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1638	43	28	cuesj	cuesj	NOUN
cuesj-1638	43	29	2025	2025	NUM
cuesj-1638	43	30	,	,	PUNCT
cuesj-1638	43	31	9	9	NUM
cuesj-1638	43	32	(	(	PUNCT
cuesj-1638	43	33	2	2	NUM
cuesj-1638	43	34	):	):	PUNCT
cuesj-1638	43	35	117	117	NUM
cuesj-1638	43	36	-	-	SYM
cuesj-1638	43	37	124	124	NUM
cuesj-1638	43	38	of	of	ADP
cuesj-1638	43	39	the	the	DET
cuesj-1638	43	40	actual	actual	ADJ
cuesj-1638	43	41	load	load	NOUN
cuesj-1638	43	42	per	per	ADP
cuesj-1638	43	43	hour	hour	NOUN
cuesj-1638	43	44	.	.	PUNCT
cuesj-1638	44	1	by	by	ADP
cuesj-1638	44	2	performing	perform	VERB
cuesj-1638	44	3	the	the	DET
cuesj-1638	44	4	prediction	prediction	NOUN
cuesj-1638	44	5	and	and	CCONJ
cuesj-1638	44	6	update	update	NOUN
cuesj-1638	44	7	steps	step	NOUN
cuesj-1638	44	8	every	every	DET
cuesj-1638	44	9	hour	hour	NOUN
cuesj-1638	44	10	,	,	PUNCT
cuesj-1638	44	11	the	the	DET
cuesj-1638	44	12	kf	kf	PROPN
cuesj-1638	44	13	produced	produce	VERB
cuesj-1638	44	14	an	an	DET
cuesj-1638	44	15	adjusted	adjusted	ADJ
cuesj-1638	44	16	estimate	estimate	NOUN
cuesj-1638	44	17	.	.	PUNCT
cuesj-1638	45	1	several	several	ADJ
cuesj-1638	45	2	crucial	crucial	ADJ
cuesj-1638	45	3	statistical	statistical	ADJ
cuesj-1638	45	4	data	datum	NOUN
cuesj-1638	45	5	were	be	AUX
cuesj-1638	45	6	reported	report	VERB
cuesj-1638	45	7	,	,	PUNCT
cuesj-1638	45	8	including	include	VERB
cuesj-1638	45	9	:	:	PUNCT
cuesj-1638	45	10	•	•	NUM
cuesj-1638	45	11	kalman	kalman	NOUN
cuesj-1638	45	12	gain	gain	NOUN
cuesj-1638	45	13	(	(	PUNCT
cuesj-1638	45	14	k	k	NOUN
cuesj-1638	45	15	):	):	PUNCT
cuesj-1638	45	16	balancing	balance	VERB
cuesj-1638	45	17	the	the	DET
cuesj-1638	45	18	validity	validity	NOUN
cuesj-1638	45	19	of	of	ADP
cuesj-1638	45	20	fuzzy	fuzzy	ADJ
cuesj-1638	45	21	measurements	measurement	NOUN
cuesj-1638	45	22	with	with	ADP
cuesj-1638	45	23	the	the	DET
cuesj-1638	45	24	filter	filter	NOUN
cuesj-1638	45	25	’s	’s	PART
cuesj-1638	45	26	predictions	prediction	NOUN
cuesj-1638	45	27	.	.	PUNCT
cuesj-1638	46	1	•	•	NUM
cuesj-1638	46	2	error	error	NOUN
cuesj-1638	46	3	covariance	covariance	NOUN
cuesj-1638	46	4	(	(	PUNCT
cuesj-1638	46	5	p	p	NOUN
cuesj-1638	46	6	):	):	PUNCT
cuesj-1638	46	7	defining	define	VERB
cuesj-1638	46	8	the	the	DET
cuesj-1638	46	9	uncertainty	uncertainty	NOUN
cuesj-1638	46	10	of	of	ADP
cuesj-1638	46	11	the	the	DET
cuesj-1638	46	12	state	state	NOUN
cuesj-1638	46	13	estimates	estimate	NOUN
cuesj-1638	46	14	.	.	PUNCT
cuesj-1638	47	1	•	•	NUM
cuesj-1638	47	2	residuals	residual	NOUN
cuesj-1638	47	3	:	:	PUNCT
cuesj-1638	47	4	identifying	identify	VERB
cuesj-1638	47	5	the	the	DET
cuesj-1638	47	6	dissimilarities	dissimilarity	NOUN
cuesj-1638	47	7	between	between	ADP
cuesj-1638	47	8	fuzzy	fuzzy	ADJ
cuesj-1638	47	9	outputs	output	NOUN
cuesj-1638	47	10	and	and	CCONJ
cuesj-1638	47	11	kalman	kalman	PROPN
cuesj-1638	47	12	estimates	estimate	NOUN
cuesj-1638	47	13	.	.	PUNCT
cuesj-1638	48	1	4	4	X
cuesj-1638	48	2	.	.	X
cuesj-1638	48	3	evaluation	evaluation	NOUN
cuesj-1638	48	4	and	and	CCONJ
cuesj-1638	48	5	analysis	analysis	NOUN
cuesj-1638	48	6	for	for	ADP
cuesj-1638	48	7	model	model	NOUN
cuesj-1638	48	8	performance	performance	NOUN
cuesj-1638	48	9	,	,	PUNCT
cuesj-1638	48	10	two	two	NUM
cuesj-1638	48	11	accuracy	accuracy	NOUN
cuesj-1638	48	12	measures	measure	NOUN
cuesj-1638	48	13	,	,	PUNCT
cuesj-1638	48	14	mean	mean	VERB
cuesj-1638	48	15	absolute	absolute	ADJ
cuesj-1638	48	16	error	error	NOUN
cuesj-1638	48	17	(	(	PUNCT
cuesj-1638	48	18	mae	mae	PROPN
cuesj-1638	48	19	)	)	PUNCT
cuesj-1638	48	20	and	and	CCONJ
cuesj-1638	48	21	root	root	NOUN
cuesj-1638	48	22	mean	mean	VERB
cuesj-1638	48	23	squared	square	VERB
cuesj-1638	48	24	error	error	NOUN
cuesj-1638	48	25	(	(	PUNCT
cuesj-1638	48	26	rmse	rmse	NOUN
cuesj-1638	48	27	)	)	PUNCT
cuesj-1638	48	28	,	,	PUNCT
cuesj-1638	48	29	were	be	AUX
cuesj-1638	48	30	calculated	calculate	VERB
cuesj-1638	48	31	by	by	ADP
cuesj-1638	48	32	utilizing	utilize	VERB
cuesj-1638	48	33	fuzzy	fuzzy	ADJ
cuesj-1638	48	34	outputs	output	NOUN
cuesj-1638	48	35	and	and	CCONJ
cuesj-1638	48	36	kalman	kalman	NOUN
cuesj-1638	48	37	-	-	PUNCT
cuesj-1638	48	38	filtered	filter	VERB
cuesj-1638	48	39	estimates	estimate	NOUN
cuesj-1638	48	40	.	.	PUNCT
cuesj-1638	49	1	time	time	NOUN
cuesj-1638	49	2	convergence	convergence	NOUN
cuesj-1638	49	3	was	be	AUX
cuesj-1638	49	4	also	also	ADV
cuesj-1638	49	5	documented	document	VERB
cuesj-1638	49	6	to	to	PART
cuesj-1638	49	7	determine	determine	VERB
cuesj-1638	49	8	how	how	SCONJ
cuesj-1638	49	9	many	many	ADJ
cuesj-1638	49	10	times	time	NOUN
cuesj-1638	49	11	the	the	DET
cuesj-1638	49	12	filter	filter	NOUN
cuesj-1638	49	13	had	have	VERB
cuesj-1638	49	14	to	to	PART
cuesj-1638	49	15	be	be	AUX
cuesj-1638	49	16	adjusted	adjust	VERB
cuesj-1638	49	17	for	for	ADP
cuesj-1638	49	18	each	each	DET
cuesj-1638	49	19	hour	hour	NOUN
cuesj-1638	49	20	.	.	PUNCT
cuesj-1638	50	1	hourly	hourly	ADJ
cuesj-1638	50	2	load	load	NOUN
cuesj-1638	50	3	profiles	profile	NOUN
cuesj-1638	50	4	and	and	CCONJ
cuesj-1638	50	5	the	the	DET
cuesj-1638	50	6	error	error	NOUN
cuesj-1638	50	7	plotted	plot	VERB
cuesj-1638	50	8	are	be	AUX
cuesj-1638	50	9	use	use	NOUN
cuesj-1638	50	10	to	to	PART
cuesj-1638	50	11	illustrate	illustrate	VERB
cuesj-1638	50	12	the	the	DET
cuesj-1638	50	13	results	result	NOUN
cuesj-1638	50	14	in	in	ADP
cuesj-1638	50	15	performance	performance	NOUN
cuesj-1638	50	16	tables	table	NOUN
cuesj-1638	50	17	per	per	ADP
cuesj-1638	50	18	hour	hour	NOUN
cuesj-1638	50	19	.	.	PUNCT
cuesj-1638	51	1	fuzzy	fuzzy	ADJ
cuesj-1638	51	2	logic	logic	NOUN
cuesj-1638	51	3	(	(	PUNCT
cuesj-1638	51	4	takagi	takagi	NOUN
cuesj-1638	51	5	–	–	PUNCT
cuesj-1638	51	6	sugeno	sugeno	NOUN
cuesj-1638	51	7	)	)	PUNCT
cuesj-1638	51	8	estimator	estimator	NOUN
cuesj-1638	51	9	memberships	membership	NOUN
cuesj-1638	51	10	(	(	PUNCT
cuesj-1638	51	11	three	three	NUM
cuesj-1638	51	12	terms	term	NOUN
cuesj-1638	51	13	:	:	PUNCT
cuesj-1638	51	14	l	l	NOUN
cuesj-1638	51	15	,	,	PUNCT
cuesj-1638	51	16	c	c	X
cuesj-1638	51	17	,	,	PUNCT
cuesj-1638	51	18	r	r	NOUN
cuesj-1638	51	19	)	)	PUNCT
cuesj-1638	51	20	a	a	DET
cuesj-1638	51	21	triangular	triangular	NOUN
cuesj-1638	51	22	membership	membership	NOUN
cuesj-1638	51	23	function	function	NOUN
cuesj-1638	51	24	is	be	AUX
cuesj-1638	51	25	defined	define	VERB
cuesj-1638	51	26	by	by	ADP
cuesj-1638	51	27	three	three	NUM
cuesj-1638	51	28	parameters	parameter	NOUN
cuesj-1638	51	29	:	:	PUNCT
cuesj-1638	51	30	•	•	NUM
cuesj-1638	51	31	l	l	NOUN
cuesj-1638	51	32	(	(	PUNCT
cuesj-1638	51	33	left	left	ADJ
cuesj-1638	51	34	):	):	PUNCT
cuesj-1638	51	35	left	leave	VERB
cuesj-1638	51	36	endpoint	endpoint	VERB
cuesj-1638	51	37	the	the	DET
cuesj-1638	51	38	membership	membership	NOUN
cuesj-1638	51	39	starts	start	VERB
cuesj-1638	51	40	to	to	PART
cuesj-1638	51	41	rise	rise	VERB
cuesj-1638	51	42	from	from	ADP
cuesj-1638	51	43	0	0	NUM
cuesj-1638	51	44	.	.	NOUN
cuesj-1638	51	45	•	•	NUM
cuesj-1638	51	46	c	c	PROPN
cuesj-1638	51	47	(	(	PUNCT
cuesj-1638	51	48	centre	centre	NOUN
cuesj-1638	51	49	):	):	PUNCT
cuesj-1638	51	50	peak	peak	NOUN
cuesj-1638	51	51	point	point	NOUN
cuesj-1638	51	52	the	the	DET
cuesj-1638	51	53	membership	membership	NOUN
cuesj-1638	51	54	is	be	AUX
cuesj-1638	51	55	1	1	NUM
cuesj-1638	51	56	(	(	PUNCT
cuesj-1638	51	57	full	full	ADJ
cuesj-1638	51	58	membership	membership	NOUN
cuesj-1638	51	59	)	)	PUNCT
cuesj-1638	51	60	.	.	PUNCT
cuesj-1638	52	1	•	•	NUM
cuesj-1638	52	2	r	r	NOUN
cuesj-1638	52	3	(	(	PUNCT
cuesj-1638	52	4	right	right	ADV
cuesj-1638	52	5	):	):	PUNCT
cuesj-1638	52	6	right	right	ADJ
cuesj-1638	52	7	endpoint	endpoint	NOUN
cuesj-1638	52	8	the	the	DET
cuesj-1638	52	9	membership	membership	NOUN
cuesj-1638	52	10	falls	fall	VERB
cuesj-1638	52	11	back	back	ADV
cuesj-1638	52	12	to	to	ADP
cuesj-1638	52	13	0	0	NUM
cuesj-1638	52	14	.	.	PUNCT
cuesj-1638	53	1	μi	μi	INTJ
cuesj-1638	53	2	(	(	PUNCT
cuesj-1638	53	3	tk)∈[0,1	tk)∈[0,1	NOUN
cuesj-1638	53	4	]	]	X
cuesj-1638	53	5	,	,	PUNCT
cuesj-1638	53	6	i∈{l	i∈{l	X
cuesj-1638	53	7	,	,	PUNCT
cuesj-1638	53	8	c	c	NOUN
cuesj-1638	53	9	,	,	PUNCT
cuesj-1638	53	10	r	r	NOUN
cuesj-1638	53	11	}	}	PUNCT
cuesj-1638	53	12	linear	linear	ADJ
cuesj-1638	53	13	consequents	consequent	NOUN
cuesj-1638	53	14	(	(	PUNCT
cuesj-1638	53	15	fuzzy	fuzzy	ADJ
cuesj-1638	53	16	regression	regression	NOUN
cuesj-1638	53	17	)	)	PUNCT
cuesj-1638	53	18	yi(tk	yi(tk	PROPN
cuesj-1638	53	19	)	)	PUNCT
cuesj-1638	54	1	=	=	PUNCT
cuesj-1638	55	1	a0,i	a0,i	PROPN
cuesj-1638	55	2	+	+	PUNCT
cuesj-1638	55	3	a1,itk	a1,itk	CCONJ
cuesj-1638	55	4	(	(	PUNCT
cuesj-1638	55	5	1	1	X
cuesj-1638	55	6	)	)	PUNCT
cuesj-1638	55	7	defuzzification	defuzzification	NOUN
cuesj-1638	55	8	(	(	PUNCT
cuesj-1638	55	9	ts	ts	NOUN
cuesj-1638	55	10	-	-	PUNCT
cuesj-1638	55	11	weighted	weight	VERB
cuesj-1638	55	12	average	average	ADJ
cuesj-1638	55	13	)	)	PUNCT
cuesj-1638	55	14	y	y	PROPN
cuesj-1638	55	15	w	w	PROPN
cuesj-1638	55	16	tk	tk	PROPN
cuesj-1638	56	1	y	y	PROPN
cuesj-1638	56	2	tk	tk	PROPN
cuesj-1638	56	3	tk	tk	PROPN
cuesj-1638	56	4	y	y	PROPN
cuesj-1638	56	5	tk	tk	PROPN
cuesj-1638	57	1	a	a	PRON
cuesj-1638	57	2	a	a	DET
cuesj-1638	57	3	tk	tk	NOUN
cuesj-1638	57	4	tkk	tkk	NOUN
cuesj-1638	58	1	f	f	PROPN
cuesj-1638	59	1	i	i	PRON
cuesj-1638	59	2	ii	ii	VERB
cuesj-1638	60	1	i	i	PRON
cuesj-1638	60	2	i	i	PRON
cuesj-1638	61	1	i	i	PRON
cuesj-1638	61	2	i	i	PRON
cuesj-1638	62	1	i	i	PRON
cuesj-1638	63	1	i	i	PRON
cuesj-1638	63	2	�	�	PROPN
cuesj-1638	63	3	�	�	PROPN
cuesj-1638	63	4	�	�	PROPN
cuesj-1638	63	5	�	�	PROPN
cuesj-1638	63	6	�	�	PROPN
cuesj-1638	63	7	�	�	PROPN
cuesj-1638	63	8	(	(	PUNCT
cuesj-1638	63	9	)	)	PUNCT
cuesj-1638	63	10	(	(	PUNCT
cuesj-1638	63	11	)	)	PUNCT
cuesj-1638	63	12	�	�	PROPN
cuesj-1638	63	13	(	(	PUNCT
cuesj-1638	63	14	)	)	PUNCT
cuesj-1638	63	15	(	(	PUNCT
cuesj-1638	63	16	)	)	PUNCT
cuesj-1638	63	17	[	[	PUNCT
cuesj-1638	63	18	]	]	X
cuesj-1638	63	19	)	)	PUNCT
cuesj-1638	63	20	(	(	PUNCT
cuesj-1638	63	21	)	)	PUNCT
cuesj-1638	63	22	,	,	PUNCT
cuesj-1638	63	23	,	,	PUNCT
cuesj-1638	63	24	�	�	PROPN
cuesj-1638	63	25	�	�	PROPN
cuesj-1638	63	26	0	0	NUM
cuesj-1638	63	27	1	1	NUM
cuesj-1638	63	28	0	0	NUM
cuesj-1638	63	29	(	(	PUNCT
cuesj-1638	63	30	2	2	X
cuesj-1638	63	31	)	)	PUNCT
cuesj-1638	63	32	the	the	DET
cuesj-1638	63	33	defuzzification	defuzzification	NOUN
cuesj-1638	63	34	step	step	NOUN
cuesj-1638	63	35	is	be	AUX
cuesj-1638	63	36	vital	vital	ADJ
cuesj-1638	63	37	,	,	PUNCT
cuesj-1638	63	38	as	as	SCONJ
cuesj-1638	63	39	it	it	PRON
cuesj-1638	63	40	transforms	transform	VERB
cuesj-1638	63	41	the	the	DET
cuesj-1638	63	42	fuzzy	fuzzy	ADJ
cuesj-1638	63	43	output	output	NOUN
cuesj-1638	63	44	into	into	ADP
cuesj-1638	63	45	a	a	DET
cuesj-1638	63	46	single	single	ADJ
cuesj-1638	63	47	,	,	PUNCT
cuesj-1638	63	48	clear	clear	ADJ
cuesj-1638	63	49	value	value	NOUN
cuesj-1638	63	50	that	that	PRON
cuesj-1638	63	51	represents	represent	VERB
cuesj-1638	63	52	the	the	DET
cuesj-1638	63	53	estimated	estimate	VERB
cuesj-1638	63	54	load	load	NOUN
cuesj-1638	63	55	demand	demand	NOUN
cuesj-1638	63	56	.	.	PUNCT
cuesj-1638	64	1	state	state	NOUN
cuesj-1638	64	2	and	and	CCONJ
cuesj-1638	64	3	observation	observation	NOUN
cuesj-1638	64	4	models	model	NOUN
cuesj-1638	64	5	we	we	PRON
cuesj-1638	64	6	treat	treat	VERB
cuesj-1638	64	7	the	the	DET
cuesj-1638	64	8	true	true	ADJ
cuesj-1638	64	9	load	load	NOUN
cuesj-1638	64	10	as	as	ADP
cuesj-1638	64	11	a	a	DET
cuesj-1638	64	12	latent	latent	NOUN
cuesj-1638	64	13	state	state	NOUN
cuesj-1638	64	14	xk	xk	PROPN
cuesj-1638	64	15	and	and	CCONJ
cuesj-1638	64	16	the	the	DET
cuesj-1638	64	17	fuzzy	fuzzy	ADJ
cuesj-1638	64	18	output	output	NOUN
cuesj-1638	64	19	as	as	ADP
cuesj-1638	64	20	the	the	DET
cuesj-1638	64	21	measurement	measurement	NOUN
cuesj-1638	64	22	.	.	PUNCT
cuesj-1638	65	1	xt	xt	PUNCT
cuesj-1638	66	1	=	=	NOUN
cuesj-1638	66	2	ftxt−1	ftxt−1	PROPN
cuesj-1638	67	1	+	+	NOUN
cuesj-1638	67	2	wt	wt	PROPN
cuesj-1638	67	3	(	(	PUNCT
cuesj-1638	67	4	3	3	NUM
cuesj-1638	67	5	)	)	PUNCT
cuesj-1638	67	6	where	where	SCONJ
cuesj-1638	67	7	xt	xt	PROPN
cuesj-1638	67	8	t	t	PROPN
cuesj-1638	67	9	t	t	PROPN
cuesj-1638	67	10	load	load	VERB
cuesj-1638	67	11	temperature	temperature	NOUN
cuesj-1638	67	12	r	r	PROPN
cuesj-1638	67	13	�	�	PROPN
cuesj-1638	67	14	�	�	PROPN
cuesj-1638	67	15	�	�	PROPN
cuesj-1638	67	16	�	�	PROPN
cuesj-1638	67	17	�	�	PROPN
cuesj-1638	67	18	�	�	PROPN
cuesj-1638	67	19	�	�	PROPN
cuesj-1638	67	20	�	�	PROPN
cuesj-1638	67	21	2	2	NUM
cuesj-1638	67	22	are	be	AUX
cuesj-1638	67	23	the	the	DET
cuesj-1638	67	24	current	current	ADJ
cuesj-1638	67	25	state	state	NOUN
cuesj-1638	67	26	,	,	PUNCT
cuesj-1638	67	27	ft	ft	PROPN
cuesj-1638	67	28	�	�	PROPN
cuesj-1638	67	29	�	�	PROPN
cuesj-1638	67	30	�	�	PROPN
cuesj-1638	67	31	�	�	PROPN
cuesj-1638	67	32	�	�	PROPN
cuesj-1638	67	33	�	�	PROPN
cuesj-1638	67	34	�	�	PROPN
cuesj-1638	67	35	1	1	NUM
cuesj-1638	67	36	0	0	NUM
cuesj-1638	67	37	0	0	NUM
cuesj-1638	67	38	1	1	NUM
cuesj-1638	67	39	is	be	AUX
cuesj-1638	67	40	the	the	DET
cuesj-1638	67	41	transition	transition	NOUN
cuesj-1638	67	42	matrix	matrix	NOUN
cuesj-1638	67	43	,	,	PUNCT
cuesj-1638	67	44	and	and	CCONJ
cuesj-1638	67	45	wt	wt	PROPN
cuesj-1638	67	46	is	be	AUX
cuesj-1638	67	47	the	the	DET
cuesj-1638	67	48	process	process	NOUN
cuesj-1638	67	49	noise	noise	NOUN
cuesj-1638	67	50	with	with	ADP
cuesj-1638	67	51	covariance	covariance	NOUN
cuesj-1638	67	52	,	,	PUNCT
cuesj-1638	67	53	i.e.	i.e.	X
cuesj-1638	67	54	,	,	PUNCT
cuesj-1638	67	55	wt	wt	ADP
cuesj-1638	67	56	~	~	NOUN
cuesj-1638	67	57	n(0,qt	n(0,qt	NOUN
cuesj-1638	67	58	)	)	PUNCT
cuesj-1638	67	59	.	.	PUNCT
cuesj-1638	68	1	the	the	DET
cuesj-1638	68	2	predicted	predict	VERB
cuesj-1638	68	3	load	load	NOUN
cuesj-1638	68	4	to	to	ADP
cuesj-1638	68	5	the	the	DET
cuesj-1638	68	6	actual	actual	ADJ
cuesj-1638	68	7	measurements	measurement	NOUN
cuesj-1638	68	8	to	to	ADP
cuesj-1638	68	9	the	the	DET
cuesj-1638	68	10	observation	observation	NOUN
cuesj-1638	68	11	model	model	NOUN
cuesj-1638	68	12	is	be	AUX
cuesj-1638	68	13	:	:	PUNCT
cuesj-1638	68	14	z	z	NOUN
cuesj-1638	69	1	y	y	NOUN
cuesj-1638	69	2	h	h	NOUN
cuesj-1638	69	3	x	x	PROPN
cuesj-1638	70	1	vt	vt	PROPN
cuesj-1638	70	2	k	k	PROPN
cuesj-1638	70	3	f	f	PROPN
cuesj-1638	70	4	t	t	PROPN
cuesj-1638	70	5	t	t	PROPN
cuesj-1638	70	6	t	t	PROPN
cuesj-1638	70	7	�	�	PROPN
cuesj-1638	70	8	�	�	PROPN
cuesj-1638	70	9	�	�	PROPN
cuesj-1638	70	10	(	(	PUNCT
cuesj-1638	70	11	4	4	NUM
cuesj-1638	70	12	)	)	PUNCT
cuesj-1638	70	13	where	where	SCONJ
cuesj-1638	70	14	zt	zt	PROPN
cuesj-1638	70	15	=	=	PUNCT
cuesj-1638	70	16	fuzzy	fuzzy	ADJ
cuesj-1638	70	17	logic	logic	NOUN
cuesj-1638	70	18	output	output	NOUN
cuesj-1638	70	19	=	=	PUNCT
cuesj-1638	70	20	estimated	estimate	VERB
cuesj-1638	70	21	load	load	NOUN
cuesj-1638	70	22	are	be	AUX
cuesj-1638	70	23	the	the	DET
cuesj-1638	70	24	measurements	measurement	NOUN
cuesj-1638	70	25	of	of	ADP
cuesj-1638	70	26	true	true	ADJ
cuesj-1638	70	27	state	state	NOUN
cuesj-1638	70	28	xt	xt	PROPN
cuesj-1638	70	29	,	,	PUNCT
cuesj-1638	70	30	ht	ht	PROPN
cuesj-1638	70	31	=	=	PUNCT
cuesj-1638	70	32	(	(	PUNCT
cuesj-1638	70	33	1	1	NUM
cuesj-1638	70	34	0	0	NUM
cuesj-1638	70	35	)	)	PUNCT
cuesj-1638	70	36	is	be	AUX
cuesj-1638	70	37	the	the	DET
cuesj-1638	70	38	measurement	measurement	NOUN
cuesj-1638	70	39	function	function	NOUN
cuesj-1638	70	40	or	or	CCONJ
cuesj-1638	70	41	(	(	PUNCT
cuesj-1638	70	42	matrix	matrix	NOUN
cuesj-1638	70	43	)	)	PUNCT
cuesj-1638	70	44	,	,	PUNCT
cuesj-1638	70	45	and	and	CCONJ
cuesj-1638	70	46	vt	vt	PROPN
cuesj-1638	70	47	is	be	AUX
cuesj-1638	70	48	the	the	DET
cuesj-1638	70	49	measurement	measurement	NOUN
cuesj-1638	70	50	noise	noise	NOUN
cuesj-1638	70	51	with	with	ADP
cuesj-1638	70	52	covariance	covariance	NOUN
cuesj-1638	70	53	rt	rt	PROPN
cuesj-1638	70	54	,	,	PUNCT
cuesj-1638	70	55	i.e.	i.e.	X
cuesj-1638	70	56	,	,	PUNCT
cuesj-1638	70	57	v	v	ADP
cuesj-1638	70	58	n	n	PRON
cuesj-1638	70	59	rt	rt	PROPN
cuesj-1638	71	1	t~	t~	PROPN
cuesj-1638	71	2	(	(	PUNCT
cuesj-1638	71	3	,	,	PUNCT
cuesj-1638	71	4	�	�	PROPN
cuesj-1638	71	5	)	)	PUNCT
cuesj-1638	71	6	0	0	NUM
cuesj-1638	71	7	.	.	PUNCT
cuesj-1638	72	1	initialization	initialization	PROPN
cuesj-1638	72	2	(	(	PUNCT
cuesj-1638	72	3	per	per	ADP
cuesj-1638	72	4	hour	hour	NOUN
cuesj-1638	72	5	)	)	PUNCT
cuesj-1638	72	6	=	=	PUNCT
cuesj-1638	73	1	=	=	SYM
cuesj-1638	73	2			PROPN
cuesj-1638	73	3			PROPN
cuesj-1638	73	4	,	,	PUNCT
cuesj-1638	73	5	,	,	PUNCT
cuesj-1638	73	6	0	0	NUM
cuesj-1638	73	7	0	0	NUM
cuesj-1638	73	8	0	0	NUM
cuesj-1638	73	9	0	0	NUM
cuesj-1638	73	10	 	 	SPACE
cuesj-1638	73	11	,	,	PUNCT
cuesj-1638	73	12	   	   	SPACE
cuesj-1638	73	13	(	(	PUNCT
cuesj-1638	73	14	)	)	PUNCT
cuesj-1638	73	15	actual	actual	ADJ
cuesj-1638	73	16	hour	hour	NOUN
cuesj-1638	73	17	actual	actual	ADJ
cuesj-1638	73	18	hourx	hourx	ADJ
cuesj-1638	73	19	y	y	PROPN
cuesj-1638	73	20	p	p	PROPN
cuesj-1638	73	21	var	var	PROPN
cuesj-1638	73	22	y	y	PROPN
cuesj-1638	73	23	(	(	PUNCT
cuesj-1638	73	24	5	5	NUM
cuesj-1638	73	25	)	)	PUNCT
cuesj-1638	73	26			NOUN
cuesj-1638	73	27			NUM
cuesj-1638	73	28	=	=	SYM
cuesj-1638	73	29			ADJ
cuesj-1638	73	30			PROPN
cuesj-1638	73	31			PUNCT
cuesj-1638	74	1			NOUN
cuesj-1638	74	2			NOUN
cuesj-1638	74	3	0	0	NUM
cuesj-1638	74	4	0	0	NUM
cuesj-1638	74	5	0	0	NUM
cuesj-1638	74	6	0	0	NUM
cuesj-1638	74	7	mean	mean	NOUN
cuesj-1638	74	8	 	 	SPACE
cuesj-1638	74	9	load	load	NOUN
cuesj-1638	74	10	mean	mean	NOUN
cuesj-1638	74	11	 	 	SPACE
cuesj-1638	74	12	temp	temp	NOUN
cuesj-1638	74	13	x̂	x̂	NOUN
cuesj-1638	74	14	,	,	PUNCT
cuesj-1638	74	15	p	p	NOUN
cuesj-1638	74	16	0	0	NUM
cuesj-1638	74	17	0	0	NUM
cuesj-1638	74	18	0	0	NUM
cuesj-1638	74	19	0	0	NUM
cuesj-1638	74	20	�	�	PROPN
cuesj-1638	74	21	�	�	PROPN
cuesj-1638	74	22	�	�	PROPN
cuesj-1638	74	23	�	�	PROPN
cuesj-1638	74	24	�	�	PROPN
cuesj-1638	74	25	�	�	PROPN
cuesj-1638	74	26	�	�	PROPN
cuesj-1638	74	27	var	var	PROPN
cuesj-1638	74	28	load	load	NOUN
cuesj-1638	74	29	var	var	NOUN
cuesj-1638	74	30	temp	temp	NOUN
cuesj-1638	74	31	(	(	PUNCT
cuesj-1638	74	32	)	)	PUNCT
cuesj-1638	74	33	(	(	PUNCT
cuesj-1638	74	34	)	)	PUNCT
cuesj-1638	74	35	forecasting	forecasting	NOUN
cuesj-1638	74	36	:	:	PUNCT
cuesj-1638	74	37	xk∣k−1	xk∣k−1	PROPN
cuesj-1638	74	38	=	=	PUNCT
cuesj-1638	75	1	f	f	PROPN
cuesj-1638	75	2	xk−1∣k−1	xk−1∣k−1	PROPN
cuesj-1638	75	3	,	,	PUNCT
cuesj-1638	75	4	pk∣k−1	pk∣k−1	NOUN
cuesj-1638	75	5	=	=	SYM
cuesj-1638	75	6	f	f	PROPN
cuesj-1638	75	7	pk−1∣k−1f	pk−1∣k−1f	X
cuesj-1638	75	8	t+q	t+q	NUM
cuesj-1638	75	9	(	(	PUNCT
cuesj-1638	75	10	6	6	NUM
cuesj-1638	75	11	)	)	PUNCT
cuesj-1638	75	12	innovation	innovation	NOUN
cuesj-1638	75	13	(	(	PUNCT
cuesj-1638	75	14	residual	residual	ADJ
cuesj-1638	75	15	)	)	PUNCT
cuesj-1638	75	16	and	and	CCONJ
cuesj-1638	75	17	its	its	PRON
cuesj-1638	75	18	variance	variance	NOUN
cuesj-1638	75	19	−	−	NOUN
cuesj-1638	75	20	−	−	PROPN
cuesj-1638	75	21	=	=	SYM
cuesj-1638	75	22	−	−	PROPN
cuesj-1638	75	23	=	=	SYM
cuesj-1638	76	1	+	+	NUM
cuesj-1638	76	2			X
cuesj-1638	76	3	1	1	ADV
cuesj-1638	76	4	1	1	NUM
cuesj-1638	76	5	 	 	SPACE
cuesj-1638	76	6	,	,	PUNCT
cuesj-1638	76	7	 	 	SPACE
cuesj-1638	76	8	ˆ	ˆ	NOUN
cuesj-1638	76	9	  	  	SPACE
cuesj-1638	76	10	t	t	NOUN
cuesj-1638	76	11	k	k	PROPN
cuesj-1638	76	12	k	k	PROPN
cuesj-1638	76	13	kk	kk	PROPN
cuesj-1638	76	14	k	k	PROPN
cuesj-1638	76	15	k	k	PROPN
cuesj-1638	76	16	k	k	PROPN
cuesj-1638	76	17	y	y	PROPN
cuesj-1638	76	18	z	z	PROPN
cuesj-1638	76	19	hx	hx	PROPN
cuesj-1638	76	20	s	s	PART
cuesj-1638	76	21	hp	hp	NOUN
cuesj-1638	76	22	h	h	NOUN
cuesj-1638	76	23	r	r	NOUN
cuesj-1638	76	24	(	(	PUNCT
cuesj-1638	76	25	7	7	X
cuesj-1638	76	26	)	)	PUNCT
cuesj-1638	76	27	kalman	kalman	NOUN
cuesj-1638	76	28	gain	gain	NOUN
cuesj-1638	76	29	,	,	PUNCT
cuesj-1638	76	30	update	update	NOUN
cuesj-1638	76	31	of	of	ADP
cuesj-1638	76	32	state	state	NOUN
cuesj-1638	76	33	and	and	CCONJ
cuesj-1638	76	34	covariance	covariance	NOUN
cuesj-1638	76	35	kk	kk	PROPN
cuesj-1638	76	36	=	=	PUNCT
cuesj-1638	76	37	pk∣k−1h	pk∣k−1h	PROPN
cuesj-1638	76	38	t	t	PROPN
cuesj-1638	76	39	sk−1	sk−1	PROPN
cuesj-1638	76	40	(	(	PUNCT
cuesj-1638	76	41	8)	8)	NUM
cuesj-1638	76	42	with	with	ADP
cuesj-1638	76	43	h	h	NOUN
cuesj-1638	76	44	=	=	SYM
cuesj-1638	76	45	1	1	NUM
cuesj-1638	76	46	k	k	NOUN
cuesj-1638	77	1	p	p	X
cuesj-1638	77	2	p	p	X
cuesj-1638	77	3	rk	rk	NOUN
cuesj-1638	77	4	k	k	NOUN
cuesj-1638	77	5	k	k	PROPN
cuesj-1638	77	6	k	k	PROPN
cuesj-1638	77	7	k	k	PROPN
cuesj-1638	77	8	�	�	PROPN
cuesj-1638	77	9	�	�	PROPN
cuesj-1638	77	10	�	�	PROPN
cuesj-1638	77	11	�	�	PROPN
cuesj-1638	77	12			PROPN
cuesj-1638	77	13			PROPN
cuesj-1638	77	14	1	1	NUM
cuesj-1638	77	15	1	1	NUM
cuesj-1638	77	16	hence	hence	ADV
cuesj-1638	77	17	:	:	PUNCT
cuesj-1638	77	18	kk	kk	PROPN
cuesj-1638	77	19	↑	↑	PROPN
cuesj-1638	77	20	when	when	SCONJ
cuesj-1638	77	21	pk∣k−1↑	pk∣k−1↑	X
cuesj-1638	77	22	(	(	PUNCT
cuesj-1638	77	23	high	high	ADJ
cuesj-1638	77	24	state	state	NOUN
cuesj-1638	77	25	uncertainty	uncertainty	NOUN
cuesj-1638	77	26	)	)	PUNCT
cuesj-1638	77	27	or	or	CCONJ
cuesj-1638	77	28	r↓	r↓	PUNCT
cuesj-1638	77	29	(	(	PUNCT
cuesj-1638	77	30	trust	trust	VERB
cuesj-1638	77	31	the	the	DET
cuesj-1638	77	32	fuzzy	fuzzy	ADJ
cuesj-1638	77	33	measurement	measurement	NOUN
cuesj-1638	77	34	more	more	ADJ
cuesj-1638	77	35	)	)	PUNCT
cuesj-1638	77	36	.	.	PUNCT
cuesj-1638	78	1	kk↓	kk↓	NOUN
cuesj-1638	78	2	when	when	SCONJ
cuesj-1638	78	3	pk∣k−1↓	pk∣k−1↓	PRON
cuesj-1638	78	4	or	or	CCONJ
cuesj-1638	78	5	r↑	r↑	PROPN
cuesj-1638	78	6	(	(	PUNCT
cuesj-1638	78	7	trust	trust	NOUN
cuesj-1638	78	8	prediction	prediction	NOUN
cuesj-1638	78	9	more	more	ADJ
cuesj-1638	78	10	)	)	PUNCT
cuesj-1638	78	11	the	the	DET
cuesj-1638	78	12	kalman	kalman	NOUN
cuesj-1638	78	13	gain	gain	NOUN
cuesj-1638	78	14	serves	serve	VERB
cuesj-1638	78	15	as	as	ADP
cuesj-1638	78	16	a	a	DET
cuesj-1638	78	17	dynamic	dynamic	ADJ
cuesj-1638	78	18	weighting	weighting	NOUN
cuesj-1638	78	19	factor	factor	NOUN
cuesj-1638	78	20	,	,	PUNCT
cuesj-1638	78	21	determining	determine	VERB
cuesj-1638	78	22	the	the	DET
cuesj-1638	78	23	extent	extent	NOUN
cuesj-1638	78	24	to	to	PART
cuesj-1638	78	25	which	which	PRON
cuesj-1638	78	26	the	the	DET
cuesj-1638	78	27	new	new	ADJ
cuesj-1638	78	28	fuzzy	fuzzy	ADJ
cuesj-1638	78	29	measurement	measurement	NOUN
cuesj-1638	78	30	adjusts	adjust	VERB
cuesj-1638	78	31	the	the	DET
cuesj-1638	78	32	state	state	NOUN
cuesj-1638	78	33	prediction	prediction	NOUN
cuesj-1638	78	34	.	.	PUNCT
cuesj-1638	79	1	time	time	NOUN
cuesj-1638	79	2	convergence	convergence	NOUN
cuesj-1638	79	3	(	(	PUNCT
cuesj-1638	79	4	per	per	ADP
cuesj-1638	79	5	-	-	PUNCT
cuesj-1638	79	6	hour	hour	NOUN
cuesj-1638	79	7	iteration	iteration	NOUN
cuesj-1638	79	8	)	)	PUNCT
cuesj-1638	79	9	if	if	SCONJ
cuesj-1638	79	10	you	you	PRON
cuesj-1638	79	11	iterate	iterate	VERB
cuesj-1638	79	12	the	the	DET
cuesj-1638	79	13	filter	filter	NOUN
cuesj-1638	79	14	within	within	ADP
cuesj-1638	79	15	hour	hour	NOUN
cuesj-1638	79	16	until	until	ADP
cuesj-1638	79	17	stability	stability	NOUN
cuesj-1638	79	18	,	,	PUNCT
cuesj-1638	79	19	stop	stop	VERB
cuesj-1638	79	20	when	when	SCONJ
cuesj-1638	79	21	x	x	X
cuesj-1638	79	22	x	x	NOUN
cuesj-1638	79	23	iterations	iteration	NOUN
cuesj-1638	80	1	timeconvergence	timeconvergence	NOUN
cuesj-1638	81	1	k	k	PROPN
cuesj-1638	81	2	k	k	PROPN
cuesj-1638	81	3	t	t	PROPN
cuesj-1638	81	4	k	k	PROPN
cuesj-1638	81	5	k	k	PROPN
cuesj-1638	81	6	t	t	PROPN
cuesj-1638	81	7			PROPN
cuesj-1638	81	8			PROPN
cuesj-1638	81	9	�	�	PROPN
cuesj-1638	81	10	�	�	PROPN
cuesj-1638	81	11	�	�	PROPN
cuesj-1638	81	12	�	�	PROPN
cuesj-1638	81	13	�	�	PROPN
cuesj-1638	81	14	(	(	PUNCT
cuesj-1638	81	15	)	)	PUNCT
cuesj-1638	81	16	�	�	PROPN
cuesj-1638	81	17	1	1	NUM
cuesj-1638	81	18			PROPN
cuesj-1638	81	19	.	.	PUNCT
cuesj-1638	82	1	mae	mae	PROPN
cuesj-1638	82	2	/	/	SYM
cuesj-1638	82	3	rmse	rmse	PROPN
cuesj-1638	82	4	(	(	PUNCT
cuesj-1638	82	5	for	for	ADP
cuesj-1638	82	6	fuzzy	fuzzy	ADJ
cuesj-1638	82	7	and	and	CCONJ
cuesj-1638	82	8	for	for	ADP
cuesj-1638	82	9	kalman	kalman	NOUN
cuesj-1638	82	10	estimates	estimate	NOUN
cuesj-1638	82	11	)	)	PUNCT
cuesj-1638	82	12	given	give	VERB
cuesj-1638	82	13	actual	actual	ADJ
cuesj-1638	82	14	load	load	NOUN
cuesj-1638	82	15	yk	yk	PROPN
cuesj-1638	82	16	,	,	PUNCT
cuesj-1638	82	17	fuzzy	fuzzy	ADJ
cuesj-1638	82	18	ˆ	ˆ	ADV
cuesj-1638	82	19	f	f	PROPN
cuesj-1638	82	20	ky	ky	PROPN
cuesj-1638	82	21	,	,	PUNCT
cuesj-1638	82	22	and	and	CCONJ
cuesj-1638	82	23	kalman	kalman	PROPN
cuesj-1638	82	24	forecasting	forecasting	PROPN
cuesj-1638	82	25	ˆk	ˆk	PROPN
cuesj-1638	82	26	ky	ky	PROPN
cuesj-1638	82	27	=	=	PROPN
cuesj-1638	82	28	=	=	SYM
cuesj-1638	82	29	=	=	SYM
cuesj-1638	82	30	−	−	PROPN
cuesj-1638	82	31	=	=	SYM
cuesj-1638	82	32	−∑	−∑	PROPN
cuesj-1638	82	33	∑	∑	PROPN
cuesj-1638	82	34	2	2	NUM
cuesj-1638	82	35	11	11	NUM
cuesj-1638	82	36	ˆ1	ˆ1	NOUN
cuesj-1638	82	37	1	1	NUM
cuesj-1638	82	38	  	  	SPACE
cuesj-1638	82	39	,	,	PUNCT
cuesj-1638	82	40	ˆ	ˆ	PROPN
cuesj-1638	82	41	(	(	PUNCT
cuesj-1638	82	42	)	)	PUNCT
cuesj-1638	82	43	n	n	CCONJ
cuesj-1638	82	44	n	n	NOUN
cuesj-1638	82	45	f	f	NOUN
cuesj-1638	83	1	f	f	PROPN
cuesj-1638	83	2	f	f	PROPN
cuesj-1638	84	1	k	k	PROPN
cuesj-1638	84	2	k	k	PROPN
cuesj-1638	84	3	f	f	PROPN
cuesj-1638	84	4	k	k	PROPN
cuesj-1638	84	5	k	k	PROPN
cuesj-1638	84	6	kk	kk	PROPN
cuesj-1638	84	7	mae	mae	PROPN
cuesj-1638	84	8	y	y	PROPN
cuesj-1638	84	9	y	y	PROPN
cuesj-1638	84	10	rmse	rmse	PROPN
cuesj-1638	84	11	y	y	PROPN
cuesj-1638	84	12	y	y	PROPN
cuesj-1638	84	13	n	n	CCONJ
cuesj-1638	84	14	n	n	CCONJ
cuesj-1638	84	15			ADJ
cuesj-1638	84	16			ADJ
cuesj-1638	84	17	(	(	PUNCT
cuesj-1638	84	18	9	9	NUM
cuesj-1638	84	19	)	)	PUNCT
cuesj-1638	84	20	=	=	NOUN
cuesj-1638	85	1	=	=	PUNCT
cuesj-1638	85	2	=	=	PUNCT
cuesj-1638	85	3	−	−	PROPN
cuesj-1638	85	4	=	=	SYM
cuesj-1638	85	5	−∑	−∑	PROPN
cuesj-1638	85	6	∑	∑	NOUN
cuesj-1638	85	7	2	2	NUM
cuesj-1638	85	8	1	1	NUM
cuesj-1638	85	9	1	1	NUM
cuesj-1638	85	10	1	1	NUM
cuesj-1638	85	11	1	1	NUM
cuesj-1638	85	12	  	  	SPACE
cuesj-1638	85	13	,	,	PUNCT
cuesj-1638	85	14	  	  	SPACE
cuesj-1638	85	15	(	(	PUNCT
cuesj-1638	85	16	)	)	PUNCT
cuesj-1638	85	17	ˆ	ˆ	NOUN
cuesj-1638	85	18	ˆ	ˆ	PROPN
cuesj-1638	85	19	n	n	ADP
cuesj-1638	85	20	n	n	NOUN
cuesj-1638	86	1	k	k	NOUN
cuesj-1638	86	2	k	k	PROPN
cuesj-1638	87	1	k	k	PROPN
cuesj-1638	87	2	k	k	PROPN
cuesj-1638	88	1	k	k	PROPN
cuesj-1638	89	1	k	k	PROPN
cuesj-1638	90	1	k	k	PROPN
cuesj-1638	91	1	k	k	PROPN
cuesj-1638	92	1	k	k	PROPN
cuesj-1638	93	1	k	k	PROPN
cuesj-1638	93	2	mae	mae	PROPN
cuesj-1638	93	3	y	y	PROPN
cuesj-1638	93	4	y	y	PROPN
cuesj-1638	93	5	rmse	rmse	PROPN
cuesj-1638	93	6	y	y	PROPN
cuesj-1638	93	7	y	y	PROPN
cuesj-1638	93	8	n	n	CCONJ
cuesj-1638	93	9	n	n	CCONJ
cuesj-1638	93	10			ADJ
cuesj-1638	93	11			ADJ
cuesj-1638	93	12	(	(	PUNCT
cuesj-1638	93	13	10	10	NUM
cuesj-1638	93	14	)	)	PUNCT
cuesj-1638	93	15	results	result	VERB
cuesj-1638	93	16	descriptive	descriptive	ADJ
cuesj-1638	93	17	statistics	statistic	NOUN
cuesj-1638	93	18	table	table	NOUN
cuesj-1638	93	19	1	1	NUM
cuesj-1638	93	20	displayed	display	VERB
cuesj-1638	93	21	each	each	DET
cuesj-1638	93	22	period	period	NOUN
cuesj-1638	93	23	’s	’s	PART
cuesj-1638	93	24	mean	mean	ADJ
cuesj-1638	93	25	consumption	consumption	NOUN
cuesj-1638	93	26	,	,	PUNCT
cuesj-1638	93	27	which	which	PRON
cuesj-1638	93	28	ranges	range	VERB
cuesj-1638	93	29	from	from	ADP
cuesj-1638	93	30	996	996	NUM
cuesj-1638	93	31	to	to	ADP
cuesj-1638	93	32	1026	1026	NUM
cuesj-1638	93	33	units	unit	NOUN
cuesj-1638	93	34	,	,	PUNCT
cuesj-1638	93	35	and	and	CCONJ
cuesj-1638	93	36	was	be	AUX
cuesj-1638	93	37	comparatively	comparatively	ADV
cuesj-1638	93	38	constant	constant	ADJ
cuesj-1638	93	39	.	.	PUNCT
cuesj-1638	94	1	for	for	ADP
cuesj-1638	94	2	example	example	NOUN
cuesj-1638	94	3	,	,	PUNCT
cuesj-1638	94	4	the	the	DET
cuesj-1638	94	5	average	average	ADJ
cuesj-1638	94	6	hourly	hourly	ADJ
cuesj-1638	94	7	use	use	NOUN
cuesj-1638	94	8	of	of	ADP
cuesj-1638	94	9	electricity	electricity	NOUN
cuesj-1638	94	10	fluctuated	fluctuate	VERB
cuesj-1638	94	11	between	between	ADP
cuesj-1638	94	12	996	996	NUM
cuesj-1638	94	13	and	and	CCONJ
cuesj-1638	94	14	1026	1026	NUM
cuesj-1638	94	15	units	unit	NOUN
cuesj-1638	94	16	during	during	ADP
cuesj-1638	94	17	the	the	DET
cuesj-1638	94	18	day	day	NOUN
cuesj-1638	94	19	,	,	PUNCT
cuesj-1638	94	20	while	while	SCONJ
cuesj-1638	94	21	the	the	DET
cuesj-1638	94	22	minimum	minimum	ADJ
cuesj-1638	94	23	hourly	hourly	ADJ
cuesj-1638	94	24	load	load	NOUN
cuesj-1638	94	25	was	be	AUX
cuesj-1638	94	26	between	between	ADP
cuesj-1638	94	27	700	700	NUM
cuesj-1638	94	28	and	and	CCONJ
cuesj-1638	94	29	792	792	NUM
cuesj-1638	94	30	units	unit	NOUN
cuesj-1638	94	31	.	.	PUNCT
cuesj-1638	95	1	maximum	maximum	ADJ
cuesj-1638	95	2	loads	load	NOUN
cuesj-1638	95	3	could	could	AUX
cuesj-1638	95	4	reach	reach	VERB
cuesj-1638	95	5	up	up	ADP
cuesj-1638	95	6	to	to	ADP
cuesj-1638	95	7	1263	1263	NUM
cuesj-1638	95	8	units	unit	NOUN
cuesj-1638	95	9	at	at	ADP
cuesj-1638	95	10	1	1	NUM
cuesj-1638	95	11	am	be	AUX
cuesj-1638	95	12	,	,	PUNCT
cuesj-1638	95	13	while	while	SCONJ
cuesj-1638	95	14	average	average	ADJ
cuesj-1638	95	15	consumption	consumption	NOUN
cuesj-1638	95	16	was	be	AUX
cuesj-1638	95	17	slightly	slightly	ADV
cuesj-1638	95	18	lower	low	ADJ
cuesj-1638	95	19	during	during	ADP
cuesj-1638	95	20	the	the	DET
cuesj-1638	95	21	early	early	ADJ
cuesj-1638	95	22	morning	morning	NOUN
cuesj-1638	95	23	hours	hour	NOUN
cuesj-1638	95	24	(	(	PUNCT
cuesj-1638	95	25	1	1	NUM
cuesj-1638	95	26	am–5	am–5	NOUN
cuesj-1638	95	27	am	am	NOUN
cuesj-1638	95	28	)	)	PUNCT
cuesj-1638	95	29	,	,	PUNCT
cuesj-1638	95	30	with	with	ADP
cuesj-1638	95	31	mean	mean	ADJ
cuesj-1638	95	32	values	value	NOUN
cuesj-1638	95	33	between	between	ADP
cuesj-1638	95	34	998	998	NUM
cuesj-1638	95	35	and	and	CCONJ
cuesj-1638	95	36	1008	1008	NUM
cuesj-1638	95	37	units	unit	NOUN
cuesj-1638	95	38	.	.	PUNCT
cuesj-1638	96	1	the	the	DET
cuesj-1638	96	2	demand	demand	NOUN
cuesj-1638	96	3	for	for	ADP
cuesj-1638	96	4	electricity	electricity	NOUN
cuesj-1638	96	5	steadied	steady	VERB
cuesj-1638	96	6	throughout	throughout	ADP
cuesj-1638	96	7	the	the	DET
cuesj-1638	96	8	day	day	NOUN
cuesj-1638	96	9	,	,	PUNCT
cuesj-1638	96	10	with	with	ADP
cuesj-1638	96	11	a	a	DET
cuesj-1638	96	12	discernible	discernible	ADJ
cuesj-1638	96	13	uptick	uptick	NOUN
cuesj-1638	96	14	beginning	begin	VERB
cuesj-1638	96	15	at	at	ADP
cuesj-1638	96	16	8	8	NUM
cuesj-1638	96	17	am	am	NOUN
cuesj-1638	96	18	.	.	PUNCT
cuesj-1638	97	1	midmorning	midmorne	VERB
cuesj-1638	97	2	to	to	ADP
cuesj-1638	97	3	early	early	ADJ
cuesj-1638	97	4	afternoon	afternoon	NOUN
cuesj-1638	97	5	(	(	PUNCT
cuesj-1638	97	6	9	9	NUM
cuesj-1638	97	7	am–12	am–12	PROPN
cuesj-1638	97	8	pm	pm	NOUN
cuesj-1638	97	9	)	)	PUNCT
cuesj-1638	97	10	was	be	AUX
cuesj-1638	97	11	yahya	yahya	PROPN
cuesj-1638	97	12	and	and	CCONJ
cuesj-1638	97	13	mawlood	mawlood	NOUN
cuesj-1638	97	14	:	:	PUNCT
cuesj-1638	97	15	a	a	DET
cuesj-1638	97	16	hybrid	hybrid	ADJ
cuesj-1638	97	17	fuzzy	fuzzy	ADJ
cuesj-1638	97	18	-	-	PUNCT
cuesj-1638	97	19	kalman	kalman	NOUN
cuesj-1638	97	20	filtering	filtering	NOUN
cuesj-1638	97	21	for	for	ADP
cuesj-1638	97	22	short	short	ADJ
cuesj-1638	97	23	-	-	PUNCT
cuesj-1638	97	24	term	term	NOUN
cuesj-1638	97	25	electricity	electricity	NOUN
cuesj-1638	97	26	load	load	NOUN
cuesj-1638	97	27	120	120	NUM
cuesj-1638	97	28	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1638	97	29	cuesj	cuesj	NOUN
cuesj-1638	97	30	2025	2025	NUM
cuesj-1638	97	31	,	,	PUNCT
cuesj-1638	97	32	9	9	NUM
cuesj-1638	97	33	(	(	PUNCT
cuesj-1638	97	34	2	2	NUM
cuesj-1638	97	35	):	):	PUNCT
cuesj-1638	97	36	117	117	NUM
cuesj-1638	97	37	-	-	SYM
cuesj-1638	97	38	124	124	NUM
cuesj-1638	97	39	when	when	SCONJ
cuesj-1638	97	40	power	power	NOUN
cuesj-1638	97	41	consumption	consumption	NOUN
cuesj-1638	97	42	was	be	AUX
cuesj-1638	97	43	at	at	ADP
cuesj-1638	97	44	its	its	PRON
cuesj-1638	97	45	highest	high	ADJ
cuesj-1638	97	46	.	.	PUNCT
cuesj-1638	98	1	during	during	ADP
cuesj-1638	98	2	this	this	DET
cuesj-1638	98	3	time	time	NOUN
cuesj-1638	98	4	,	,	PUNCT
cuesj-1638	98	5	the	the	DET
cuesj-1638	98	6	mean	mean	ADJ
cuesj-1638	98	7	load	load	NOUN
cuesj-1638	98	8	was	be	AUX
cuesj-1638	98	9	continuously	continuously	ADV
cuesj-1638	98	10	higher	high	ADJ
cuesj-1638	98	11	than	than	ADP
cuesj-1638	98	12	1023	1023	NUM
cuesj-1638	98	13	units	unit	NOUN
cuesj-1638	98	14	,	,	PUNCT
cuesj-1638	98	15	and	and	CCONJ
cuesj-1638	98	16	at	at	ADP
cuesj-1638	98	17	noon	noon	NOUN
cuesj-1638	98	18	,	,	PUNCT
cuesj-1638	98	19	the	the	DET
cuesj-1638	98	20	maximum	maximum	ADJ
cuesj-1638	98	21	recorded	record	VERB
cuesj-1638	98	22	values	value	NOUN
cuesj-1638	98	23	were	be	AUX
cuesj-1638	98	24	higher	high	ADJ
cuesj-1638	98	25	than	than	ADP
cuesj-1638	98	26	1311	1311	NUM
cuesj-1638	98	27	units	unit	NOUN
cuesj-1638	98	28	.	.	PUNCT
cuesj-1638	99	1	during	during	ADP
cuesj-1638	99	2	these	these	DET
cuesj-1638	99	3	peak	peak	NOUN
cuesj-1638	99	4	hours	hour	NOUN
cuesj-1638	99	5	,	,	PUNCT
cuesj-1638	99	6	the	the	DET
cuesj-1638	99	7	third	third	ADJ
cuesj-1638	99	8	quartile	quartile	NOUN
cuesj-1638	99	9	(	(	PUNCT
cuesj-1638	99	10	q3	q3	PROPN
cuesj-1638	99	11	)	)	PUNCT
cuesj-1638	99	12	continuously	continuously	ADV
cuesj-1638	99	13	exceeded	exceed	VERB
cuesj-1638	99	14	1080	1080	NUM
cuesj-1638	99	15	units	unit	NOUN
cuesj-1638	99	16	,	,	PUNCT
cuesj-1638	99	17	suggesting	suggest	VERB
cuesj-1638	99	18	persistently	persistently	ADV
cuesj-1638	99	19	high	high	ADJ
cuesj-1638	99	20	electricity	electricity	NOUN
cuesj-1638	99	21	consumption	consumption	NOUN
cuesj-1638	99	22	.	.	PUNCT
cuesj-1638	100	1	moreover	moreover	ADV
cuesj-1638	100	2	,	,	PUNCT
cuesj-1638	100	3	with	with	ADP
cuesj-1638	100	4	mean	mean	ADJ
cuesj-1638	100	5	values	value	NOUN
cuesj-1638	100	6	between	between	ADP
cuesj-1638	100	7	1010	1010	NUM
cuesj-1638	100	8	and	and	CCONJ
cuesj-1638	100	9	1017	1017	NUM
cuesj-1638	100	10	units	unit	NOUN
cuesj-1638	100	11	,	,	PUNCT
cuesj-1638	100	12	power	power	NOUN
cuesj-1638	100	13	consumption	consumption	NOUN
cuesj-1638	100	14	in	in	ADP
cuesj-1638	100	15	the	the	DET
cuesj-1638	100	16	afternoon	afternoon	NOUN
cuesj-1638	100	17	(	(	PUNCT
cuesj-1638	100	18	1	1	NUM
cuesj-1638	100	19	pm–5	pm–5	NOUN
cuesj-1638	100	20	pm	pm	NOUN
cuesj-1638	100	21	)	)	PUNCT
cuesj-1638	100	22	was	be	AUX
cuesj-1638	100	23	still	still	ADV
cuesj-1638	100	24	strong	strong	ADJ
cuesj-1638	100	25	but	but	CCONJ
cuesj-1638	100	26	somewhat	somewhat	ADV
cuesj-1638	100	27	tapered	taper	VERB
cuesj-1638	100	28	down	down	ADP
cuesj-1638	100	29	.	.	PUNCT
cuesj-1638	101	1	the	the	DET
cuesj-1638	101	2	fact	fact	NOUN
cuesj-1638	101	3	that	that	SCONJ
cuesj-1638	101	4	maximum	maximum	ADJ
cuesj-1638	101	5	loads	load	NOUN
cuesj-1638	101	6	during	during	ADP
cuesj-1638	101	7	this	this	DET
cuesj-1638	101	8	time	time	NOUN
cuesj-1638	101	9	still	still	ADV
cuesj-1638	101	10	surpassed	surpass	VERB
cuesj-1638	101	11	1250	1250	NUM
cuesj-1638	101	12	units	unit	NOUN
cuesj-1638	101	13	indicated	indicate	VERB
cuesj-1638	101	14	that	that	SCONJ
cuesj-1638	101	15	demand	demand	NOUN
cuesj-1638	101	16	was	be	AUX
cuesj-1638	101	17	still	still	ADV
cuesj-1638	101	18	high	high	ADJ
cuesj-1638	101	19	even	even	ADV
cuesj-1638	101	20	after	after	ADP
cuesj-1638	101	21	peak	peak	NOUN
cuesj-1638	101	22	hours	hour	NOUN
cuesj-1638	101	23	.	.	PUNCT
cuesj-1638	102	1	a	a	DET
cuesj-1638	102	2	slow	slow	ADJ
cuesj-1638	102	3	decrease	decrease	NOUN
cuesj-1638	102	4	was	be	AUX
cuesj-1638	102	5	noted	note	VERB
cuesj-1638	102	6	in	in	ADP
cuesj-1638	102	7	the	the	DET
cuesj-1638	102	8	evening	evening	NOUN
cuesj-1638	102	9	(	(	PUNCT
cuesj-1638	102	10	6	6	NUM
cuesj-1638	102	11	pm–9	pm–9	X
cuesj-1638	102	12	pm	pm	NOUN
cuesj-1638	102	13	)	)	PUNCT
cuesj-1638	102	14	,	,	PUNCT
cuesj-1638	102	15	with	with	ADP
cuesj-1638	102	16	maximum	maximum	ADJ
cuesj-1638	102	17	loads	load	NOUN
cuesj-1638	102	18	continuously	continuously	ADV
cuesj-1638	102	19	surpassing	surpass	VERB
cuesj-1638	102	20	1229	1229	NUM
cuesj-1638	102	21	units	unit	NOUN
cuesj-1638	102	22	and	and	CCONJ
cuesj-1638	102	23	mean	mean	VERB
cuesj-1638	102	24	values	value	NOUN
cuesj-1638	102	25	ranging	range	VERB
cuesj-1638	102	26	from	from	ADP
cuesj-1638	102	27	996	996	NUM
cuesj-1638	102	28	to	to	ADP
cuesj-1638	102	29	1007	1007	NUM
cuesj-1638	102	30	units	unit	NOUN
cuesj-1638	102	31	.	.	PUNCT
cuesj-1638	103	1	with	with	ADP
cuesj-1638	103	2	upper	upper	ADJ
cuesj-1638	103	3	quartiles	quartile	NOUN
cuesj-1638	103	4	continuing	continue	VERB
cuesj-1638	103	5	to	to	PART
cuesj-1638	103	6	be	be	AUX
cuesj-1638	103	7	above	above	ADP
cuesj-1638	103	8	1060	1060	NUM
cuesj-1638	103	9	units	unit	NOUN
cuesj-1638	103	10	,	,	PUNCT
cuesj-1638	103	11	late	late	ADJ
cuesj-1638	103	12	-	-	PUNCT
cuesj-1638	103	13	night	night	NOUN
cuesj-1638	103	14	(	(	PUNCT
cuesj-1638	103	15	10	10	NUM
cuesj-1638	103	16	pm	pm	NOUN
cuesj-1638	103	17	to	to	ADP
cuesj-1638	103	18	midnight	midnight	NOUN
cuesj-1638	103	19	)	)	PUNCT
cuesj-1638	103	20	hours	hour	NOUN
cuesj-1638	103	21	exhibited	exhibit	VERB
cuesj-1638	103	22	a	a	DET
cuesj-1638	103	23	little	little	ADJ
cuesj-1638	103	24	recovery	recovery	NOUN
cuesj-1638	103	25	in	in	ADP
cuesj-1638	103	26	mean	mean	ADJ
cuesj-1638	103	27	consumption	consumption	NOUN
cuesj-1638	103	28	(	(	PUNCT
cuesj-1638	103	29	1005–1011	1005–1011	NUM
cuesj-1638	103	30	units	unit	NOUN
cuesj-1638	103	31	)	)	PUNCT
cuesj-1638	103	32	,	,	PUNCT
cuesj-1638	103	33	suggesting	suggest	VERB
cuesj-1638	103	34	that	that	SCONJ
cuesj-1638	103	35	some	some	DET
cuesj-1638	103	36	users	user	NOUN
cuesj-1638	103	37	continued	continue	VERB
cuesj-1638	103	38	to	to	PART
cuesj-1638	103	39	consume	consume	VERB
cuesj-1638	103	40	at	at	ADP
cuesj-1638	103	41	high	high	ADJ
cuesj-1638	103	42	levels	level	NOUN
cuesj-1638	103	43	.	.	PUNCT
cuesj-1638	104	1	with	with	ADP
cuesj-1638	104	2	notable	notable	ADJ
cuesj-1638	104	3	peaks	peak	NOUN
cuesj-1638	104	4	in	in	ADP
cuesj-1638	104	5	the	the	DET
cuesj-1638	104	6	morning	morning	NOUN
cuesj-1638	104	7	and	and	CCONJ
cuesj-1638	104	8	consistent	consistent	ADJ
cuesj-1638	104	9	high	high	ADJ
cuesj-1638	104	10	consumption	consumption	NOUN
cuesj-1638	104	11	throughout	throughout	ADP
cuesj-1638	104	12	the	the	DET
cuesj-1638	104	13	day	day	NOUN
cuesj-1638	104	14	and	and	CCONJ
cuesj-1638	104	15	evening	evening	NOUN
cuesj-1638	104	16	,	,	PUNCT
cuesj-1638	104	17	the	the	DET
cuesj-1638	104	18	overall	overall	ADJ
cuesj-1638	104	19	pattern	pattern	NOUN
cuesj-1638	104	20	indicated	indicate	VERB
cuesj-1638	104	21	that	that	SCONJ
cuesj-1638	104	22	the	the	DET
cuesj-1638	104	23	demand	demand	NOUN
cuesj-1638	104	24	for	for	ADP
cuesj-1638	104	25	power	power	NOUN
cuesj-1638	104	26	stayed	stay	VERB
cuesj-1638	104	27	strong	strong	ADJ
cuesj-1638	104	28	throughout	throughout	ADP
cuesj-1638	104	29	the	the	DET
cuesj-1638	104	30	24	24	NUM
cuesj-1638	104	31	-	-	PUNCT
cuesj-1638	104	32	h	h	NOUN
cuesj-1638	104	33	cycle	cycle	NOUN
cuesj-1638	104	34	.	.	PUNCT
cuesj-1638	105	1	these	these	DET
cuesj-1638	105	2	insights	insight	NOUN
cuesj-1638	105	3	were	be	AUX
cuesj-1638	105	4	essential	essential	ADJ
cuesj-1638	105	5	for	for	ADP
cuesj-1638	105	6	predicting	predict	VERB
cuesj-1638	105	7	peak	peak	NOUN
cuesj-1638	105	8	load	load	NOUN
cuesj-1638	105	9	demand	demand	NOUN
cuesj-1638	105	10	and	and	CCONJ
cuesj-1638	105	11	optimizing	optimize	VERB
cuesj-1638	105	12	the	the	DET
cuesj-1638	105	13	energy	energy	NOUN
cuesj-1638	105	14	supply	supply	NOUN
cuesj-1638	105	15	.	.	PUNCT
cuesj-1638	106	1	regarding	regard	VERB
cuesj-1638	106	2	to	to	ADP
cuesj-1638	106	3	the	the	DET
cuesj-1638	106	4	variation	variation	NOUN
cuesj-1638	106	5	inspected	inspect	VERB
cuesj-1638	106	6	through	through	ADP
cuesj-1638	106	7	standard	standard	ADJ
cuesj-1638	106	8	deviation	deviation	NOUN
cuesj-1638	106	9	,	,	PUNCT
cuesj-1638	106	10	which	which	PRON
cuesj-1638	106	11	might	might	AUX
cuesj-1638	106	12	be	be	AUX
cuesj-1638	106	13	a	a	DET
cuesj-1638	106	14	sign	sign	NOUN
cuesj-1638	106	15	of	of	ADP
cuesj-1638	106	16	seasonal	seasonal	ADJ
cuesj-1638	106	17	patterns	pattern	NOUN
cuesj-1638	106	18	,	,	PUNCT
cuesj-1638	106	19	population	population	NOUN
cuesj-1638	106	20	activity	activity	NOUN
cuesj-1638	106	21	shifts	shift	NOUN
cuesj-1638	106	22	,	,	PUNCT
cuesj-1638	106	23	or	or	CCONJ
cuesj-1638	106	24	outside	outside	ADJ
cuesj-1638	106	25	events	event	NOUN
cuesj-1638	106	26	that	that	PRON
cuesj-1638	106	27	impact	impact	VERB
cuesj-1638	106	28	the	the	DET
cuesj-1638	106	29	demand	demand	NOUN
cuesj-1638	106	30	for	for	ADP
cuesj-1638	106	31	power	power	NOUN
cuesj-1638	106	32	.	.	PUNCT
cuesj-1638	107	1	the	the	DET
cuesj-1638	107	2	existence	existence	NOUN
cuesj-1638	107	3	of	of	ADP
cuesj-1638	107	4	fluctuating	fluctuate	VERB
cuesj-1638	107	5	consumption	consumption	NOUN
cuesj-1638	107	6	periods	period	NOUN
cuesj-1638	107	7	highlighted	highlight	VERB
cuesj-1638	107	8	the	the	DET
cuesj-1638	107	9	dynamic	dynamic	ADJ
cuesj-1638	107	10	character	character	NOUN
cuesj-1638	107	11	of	of	ADP
cuesj-1638	107	12	power	power	NOUN
cuesj-1638	107	13	demand	demand	NOUN
cuesj-1638	107	14	,	,	PUNCT
cuesj-1638	107	15	even	even	ADV
cuesj-1638	107	16	when	when	SCONJ
cuesj-1638	107	17	the	the	DET
cuesj-1638	107	18	overall	overall	ADJ
cuesj-1638	107	19	trend	trend	NOUN
cuesj-1638	107	20	of	of	ADP
cuesj-1638	107	21	mean	mean	ADJ
cuesj-1638	107	22	consumption	consumption	NOUN
cuesj-1638	107	23	was	be	AUX
cuesj-1638	107	24	steady	steady	ADJ
cuesj-1638	107	25	as	as	SCONJ
cuesj-1638	107	26	shown	show	VERB
cuesj-1638	107	27	in	in	ADP
cuesj-1638	107	28	figure	figure	NOUN
cuesj-1638	107	29	1	1	NUM
cuesj-1638	107	30	.	.	PUNCT
cuesj-1638	108	1	in	in	ADP
cuesj-1638	108	2	conclusion	conclusion	NOUN
cuesj-1638	108	3	,	,	PUNCT
cuesj-1638	108	4	the	the	DET
cuesj-1638	108	5	data	datum	NOUN
cuesj-1638	108	6	points	point	VERB
cuesj-1638	108	7	to	to	ADP
cuesj-1638	108	8	a	a	DET
cuesj-1638	108	9	pattern	pattern	NOUN
cuesj-1638	108	10	of	of	ADP
cuesj-1638	108	11	electricity	electricity	NOUN
cuesj-1638	108	12	use	use	NOUN
cuesj-1638	108	13	that	that	PRON
cuesj-1638	108	14	was	be	AUX
cuesj-1638	108	15	largely	largely	ADV
cuesj-1638	108	16	steady	steady	ADJ
cuesj-1638	108	17	,	,	PUNCT
cuesj-1638	108	18	with	with	ADP
cuesj-1638	108	19	sporadic	sporadic	ADJ
cuesj-1638	108	20	fluctuation	fluctuation	NOUN
cuesj-1638	108	21	spikes	spike	NOUN
cuesj-1638	108	22	and	and	CCONJ
cuesj-1638	108	23	this	this	PRON
cuesj-1638	108	24	might	might	AUX
cuesj-1638	108	25	be	be	AUX
cuesj-1638	108	26	due	due	ADJ
cuesj-1638	108	27	to	to	ADP
cuesj-1638	108	28	hourly	hourly	ADJ
cuesj-1638	108	29	usage	usage	NOUN
cuesj-1638	108	30	.	.	PUNCT
cuesj-1638	109	1	the	the	DET
cuesj-1638	109	2	study	study	NOUN
cuesj-1638	109	3	’s	’s	PART
cuesj-1638	109	4	findings	finding	NOUN
cuesj-1638	109	5	demonstrate	demonstrate	VERB
cuesj-1638	109	6	the	the	DET
cuesj-1638	109	7	enhanced	enhanced	ADJ
cuesj-1638	109	8	performance	performance	NOUN
cuesj-1638	109	9	of	of	ADP
cuesj-1638	109	10	the	the	DET
cuesj-1638	109	11	hybrid	hybrid	ADJ
cuesj-1638	109	12	fuzzy	fuzzy	ADJ
cuesj-1638	109	13	-	-	PUNCT
cuesj-1638	109	14	kf	kf	PROPN
cuesj-1638	109	15	model	model	NOUN
cuesj-1638	109	16	in	in	ADP
cuesj-1638	109	17	comparison	comparison	NOUN
cuesj-1638	109	18	to	to	ADP
cuesj-1638	109	19	the	the	DET
cuesj-1638	109	20	standalone	standalone	ADJ
cuesj-1638	109	21	fuzzy	fuzzy	ADJ
cuesj-1638	109	22	logic	logic	NOUN
cuesj-1638	109	23	model	model	NOUN
cuesj-1638	109	24	for	for	ADP
cuesj-1638	109	25	24	24	NUM
cuesj-1638	109	26	-	-	PUNCT
cuesj-1638	109	27	h	h	NOUN
cuesj-1638	109	28	power	power	NOUN
cuesj-1638	109	29	demand	demand	NOUN
cuesj-1638	109	30	forecasting	forecasting	NOUN
cuesj-1638	109	31	in	in	ADP
cuesj-1638	109	32	the	the	DET
cuesj-1638	109	33	kurdistan	kurdistan	ADJ
cuesj-1638	109	34	region	region	NOUN
cuesj-1638	109	35	of	of	ADP
cuesj-1638	109	36	iraq	iraq	PROPN
cuesj-1638	109	37	.	.	PUNCT
cuesj-1638	110	1	a	a	DET
cuesj-1638	110	2	thorough	thorough	ADJ
cuesj-1638	110	3	comparison	comparison	NOUN
cuesj-1638	110	4	of	of	ADP
cuesj-1638	110	5	the	the	DET
cuesj-1638	110	6	hourly	hourly	ADJ
cuesj-1638	110	7	performance	performance	NOUN
cuesj-1638	110	8	metrics	metric	NOUN
cuesj-1638	110	9	,	,	PUNCT
cuesj-1638	110	10	including	include	VERB
cuesj-1638	110	11	mae	mae	PROPN
cuesj-1638	110	12	and	and	CCONJ
cuesj-1638	110	13	rmse	rmse	NOUN
cuesj-1638	110	14	,	,	PUNCT
cuesj-1638	110	15	is	be	AUX
cuesj-1638	110	16	provided	provide	VERB
cuesj-1638	110	17	in	in	ADP
cuesj-1638	110	18	table	table	NOUN
cuesj-1638	110	19	2	2	NUM
cuesj-1638	110	20	.	.	PUNCT
cuesj-1638	110	21	table	table	NOUN
cuesj-1638	110	22	2	2	NUM
cuesj-1638	110	23	the	the	DET
cuesj-1638	110	24	data	datum	NOUN
cuesj-1638	110	25	consists	consist	VERB
cuesj-1638	110	26	of	of	ADP
cuesj-1638	110	27	hourly	hourly	ADJ
cuesj-1638	110	28	measurements	measurement	NOUN
cuesj-1638	110	29	of	of	ADP
cuesj-1638	110	30	electricity	electricity	NOUN
cuesj-1638	110	31	load	load	NOUN
cuesj-1638	110	32	with	with	ADP
cuesj-1638	110	33	convergence	convergence	NOUN
cuesj-1638	110	34	times	time	NOUN
cuesj-1638	110	35	between	between	ADP
cuesj-1638	110	36	9	9	NUM
cuesj-1638	110	37	and	and	CCONJ
cuesj-1638	110	38	32	32	NUM
cuesj-1638	110	39	units	unit	NOUN
cuesj-1638	110	40	,	,	PUNCT
cuesj-1638	110	41	representing	represent	VERB
cuesj-1638	110	42	different	different	ADJ
cuesj-1638	110	43	computational	computational	ADJ
cuesj-1638	110	44	complexities	complexity	NOUN
cuesj-1638	110	45	in	in	ADP
cuesj-1638	110	46	different	different	ADJ
cuesj-1638	110	47	hours	hour	NOUN
cuesj-1638	110	48	of	of	ADP
cuesj-1638	110	49	the	the	DET
cuesj-1638	110	50	day	day	NOUN
cuesj-1638	110	51	.	.	PUNCT
cuesj-1638	111	1	the	the	DET
cuesj-1638	111	2	load	load	NOUN
cuesj-1638	111	3	values	value	VERB
cuesj-1638	111	4	themselves	themselves	PRON
cuesj-1638	111	5	range	range	VERB
cuesj-1638	111	6	from	from	ADP
cuesj-1638	111	7	842	842	NUM
cuesj-1638	111	8	mw	mw	NOUN
cuesj-1638	111	9	to	to	ADP
cuesj-1638	111	10	1223	1223	NUM
cuesj-1638	111	11	mw	mw	NOUN
cuesj-1638	111	12	,	,	PUNCT
cuesj-1638	111	13	exhibiting	exhibit	VERB
cuesj-1638	111	14	normal	normal	ADJ
cuesj-1638	111	15	daily	daily	ADJ
cuesj-1638	111	16	variation	variation	NOUN
cuesj-1638	111	17	patterns	pattern	NOUN
cuesj-1638	111	18	in	in	ADP
cuesj-1638	111	19	power	power	NOUN
cuesj-1638	111	20	grids	grid	NOUN
cuesj-1638	111	21	.	.	PUNCT
cuesj-1638	112	1	the	the	DET
cuesj-1638	112	2	fuzzy	fuzzy	ADJ
cuesj-1638	112	3	logic	logic	NOUN
cuesj-1638	112	4	approach	approach	NOUN
cuesj-1638	112	5	produces	produce	VERB
cuesj-1638	112	6	estimates	estimate	NOUN
cuesj-1638	112	7	based	base	VERB
cuesj-1638	112	8	on	on	ADP
cuesj-1638	112	9	membership	membership	NOUN
cuesj-1638	112	10	functions	function	NOUN
cuesj-1638	112	11	and	and	CCONJ
cuesj-1638	112	12	rule	rule	NOUN
cuesj-1638	112	13	-	-	PUNCT
cuesj-1638	112	14	based	base	VERB
cuesj-1638	112	15	reasoning	reasoning	NOUN
cuesj-1638	112	16	,	,	PUNCT
cuesj-1638	112	17	whereas	whereas	SCONJ
cuesj-1638	112	18	the	the	DET
cuesj-1638	112	19	hybrid	hybrid	ADJ
cuesj-1638	112	20	fuzzy	fuzzy	ADJ
cuesj-1638	112	21	-	-	PUNCT
cuesj-1638	112	22	kalman	kalman	NOUN
cuesj-1638	112	23	method	method	NOUN
cuesj-1638	112	24	fuses	fuse	VERB
cuesj-1638	112	25	the	the	DET
cuesj-1638	112	26	fuzzy	fuzzy	ADJ
cuesj-1638	112	27	estimates	estimate	NOUN
cuesj-1638	112	28	with	with	ADP
cuesj-1638	112	29	kalman	kalman	NOUN
cuesj-1638	112	30	filtering	filtering	NOUN
cuesj-1638	112	31	principles	principle	NOUN
cuesj-1638	112	32	.	.	PUNCT
cuesj-1638	113	1	the	the	DET
cuesj-1638	113	2	values	value	NOUN
cuesj-1638	113	3	of	of	ADP
cuesj-1638	113	4	the	the	DET
cuesj-1638	113	5	kalman	kalman	NOUN
cuesj-1638	113	6	gain	gain	PROPN
cuesj-1638	113	7	(	(	PUNCT
cuesj-1638	113	8	0.1321–0.6395	0.1321–0.6395	NOUN
cuesj-1638	113	9	)	)	PUNCT
cuesj-1638	113	10	represent	represent	VERB
cuesj-1638	113	11	adaptive	adaptive	ADJ
cuesj-1638	113	12	weighing	weighing	NOUN
cuesj-1638	113	13	between	between	ADP
cuesj-1638	113	14	forecasted	forecast	VERB
cuesj-1638	113	15	states	state	NOUN
cuesj-1638	113	16	and	and	CCONJ
cuesj-1638	113	17	measurements	measurement	NOUN
cuesj-1638	113	18	,	,	PUNCT
cuesj-1638	113	19	where	where	SCONJ
cuesj-1638	113	20	higher	high	ADJ
cuesj-1638	113	21	gains	gain	NOUN
cuesj-1638	113	22	reflect	reflect	VERB
cuesj-1638	113	23	greater	great	ADJ
cuesj-1638	113	24	reliance	reliance	NOUN
cuesj-1638	113	25	upon	upon	SCONJ
cuesj-1638	113	26	new	new	ADJ
cuesj-1638	113	27	observation	observation	NOUN
cuesj-1638	113	28	.	.	PUNCT
cuesj-1638	114	1	the	the	DET
cuesj-1638	114	2	values	value	NOUN
cuesj-1638	114	3	of	of	ADP
cuesj-1638	114	4	error	error	NOUN
cuesj-1638	114	5	covariance	covariance	NOUN
cuesj-1638	114	6	(	(	PUNCT
cuesj-1638	114	7	0.8921–15.0214	0.8921–15.0214	X
cuesj-1638	114	8	)	)	PUNCT
cuesj-1638	114	9	reflect	reflect	VERB
cuesj-1638	114	10	quantification	quantification	NOUN
cuesj-1638	114	11	of	of	ADP
cuesj-1638	114	12	uncertainty	uncertainty	NOUN
cuesj-1638	114	13	inherent	inherent	ADJ
cuesj-1638	114	14	in	in	ADP
cuesj-1638	114	15	the	the	DET
cuesj-1638	114	16	kalman	kalman	PROPN
cuesj-1638	114	17	formulation	formulation	NOUN
cuesj-1638	114	18	,	,	PUNCT
cuesj-1638	114	19	representing	represent	VERB
cuesj-1638	114	20	a	a	DET
cuesj-1638	114	21	measure	measure	NOUN
cuesj-1638	114	22	of	of	ADP
cuesj-1638	114	23	confidence	confidence	NOUN
cuesj-1638	114	24	in	in	ADP
cuesj-1638	114	25	estimation	estimation	NOUN
cuesj-1638	114	26	that	that	PRON
cuesj-1638	114	27	changes	change	NOUN
cuesj-1638	114	28	based	base	VERB
cuesj-1638	114	29	upon	upon	SCONJ
cuesj-1638	114	30	system	system	NOUN
cuesj-1638	114	31	behavior	behavior	NOUN
cuesj-1638	114	32	and	and	CCONJ
cuesj-1638	114	33	quality	quality	NOUN
cuesj-1638	114	34	of	of	ADP
cuesj-1638	114	35	measurement	measurement	NOUN
cuesj-1638	114	36	.	.	PUNCT
cuesj-1638	115	1	the	the	DET
cuesj-1638	115	2	analysis	analysis	NOUN
cuesj-1638	115	3	of	of	ADP
cuesj-1638	115	4	performance	performance	NOUN
cuesj-1638	115	5	clearly	clearly	ADV
cuesj-1638	115	6	indicates	indicate	VERB
cuesj-1638	115	7	merits	merit	NOUN
cuesj-1638	115	8	of	of	ADP
cuesj-1638	115	9	the	the	DET
cuesj-1638	115	10	hybrid	hybrid	ADJ
cuesj-1638	115	11	fuzzy	fuzzy	ADJ
cuesj-1638	115	12	-	-	PUNCT
cuesj-1638	115	13	kf	kf	NOUN
cuesj-1638	115	14	over	over	ADP
cuesj-1638	115	15	fuzzy	fuzzy	ADJ
cuesj-1638	115	16	logic	logic	NOUN
cuesj-1638	115	17	prediction	prediction	NOUN
cuesj-1638	115	18	alone	alone	ADV
cuesj-1638	115	19	.	.	PUNCT
cuesj-1638	116	1	for	for	ADP
cuesj-1638	116	2	fuzzy	fuzzy	ADJ
cuesj-1638	116	3	logic	logic	NOUN
cuesj-1638	116	4	prediction	prediction	NOUN
cuesj-1638	116	5	,	,	PUNCT
cuesj-1638	116	6	mae	mae	PROPN
cuesj-1638	116	7	ranges	range	VERB
cuesj-1638	116	8	from	from	ADP
cuesj-1638	116	9	87.27	87.27	NUM
cuesj-1638	116	10	to	to	ADP
cuesj-1638	116	11	110.13	110.13	NUM
cuesj-1638	116	12	mw	mw	NOUN
cuesj-1638	116	13	,	,	PUNCT
cuesj-1638	116	14	averaging	average	VERB
cuesj-1638	116	15	98.84	98.84	NUM
cuesj-1638	116	16	mw	mw	NOUN
cuesj-1638	116	17	,	,	PUNCT
cuesj-1638	116	18	and	and	CCONJ
cuesj-1638	116	19	rmse	rmse	ADJ
cuesj-1638	116	20	ranges	range	VERB
cuesj-1638	116	21	from	from	ADP
cuesj-1638	116	22	111.14	111.14	NUM
cuesj-1638	116	23	to	to	ADP
cuesj-1638	116	24	137.14	137.14	NUM
cuesj-1638	116	25	mw	mw	NOUN
cuesj-1638	116	26	,	,	PUNCT
cuesj-1638	116	27	averaging	average	VERB
cuesj-1638	116	28	122.73	122.73	NUM
cuesj-1638	116	29	mw	mw	NOUN
cuesj-1638	116	30	.	.	PROPN
cuesj-1638	116	31	for	for	ADP
cuesj-1638	116	32	its	its	PRON
cuesj-1638	116	33	own	own	ADJ
cuesj-1638	116	34	part	part	NOUN
cuesj-1638	116	35	,	,	PUNCT
cuesj-1638	116	36	though	though	ADV
cuesj-1638	116	37	,	,	PUNCT
cuesj-1638	116	38	better	well	ADJ
cuesj-1638	116	39	accuracy	accuracy	NOUN
cuesj-1638	116	40	is	be	AUX
cuesj-1638	116	41	evidenced	evidence	VERB
cuesj-1638	116	42	by	by	ADP
cuesj-1638	116	43	the	the	DET
cuesj-1638	116	44	hybrid	hybrid	ADJ
cuesj-1638	116	45	fuzzy	fuzzy	ADJ
cuesj-1638	116	46	-	-	PUNCT
cuesj-1638	116	47	kf	kf	NOUN
cuesj-1638	116	48	,	,	PUNCT
cuesj-1638	116	49	where	where	SCONJ
cuesj-1638	116	50	higher	high	ADJ
cuesj-1638	116	51	and	and	CCONJ
cuesj-1638	116	52	lower	low	ADJ
cuesj-1638	116	53	limits	limit	NOUN
cuesj-1638	116	54	of	of	ADP
cuesj-1638	116	55	mae	mae	PROPN
cuesj-1638	116	56	are	be	AUX
cuesj-1638	116	57	82.48	82.48	NUM
cuesj-1638	116	58	mw	mw	NOUN
cuesj-1638	116	59	and	and	CCONJ
cuesj-1638	116	60	108.03	108.03	NUM
cuesj-1638	116	61	mw	mw	NOUN
cuesj-1638	116	62	,	,	PUNCT
cuesj-1638	116	63	averaging	average	VERB
cuesj-1638	116	64	95.13	95.13	NUM
cuesj-1638	116	65	mw	mw	NOUN
cuesj-1638	116	66	,	,	PUNCT
cuesj-1638	116	67	and	and	CCONJ
cuesj-1638	116	68	rmse	rmse	NOUN
cuesj-1638	116	69	is	be	AUX
cuesj-1638	116	70	101.85	101.85	NUM
cuesj-1638	116	71	mw	mw	NOUN
cuesj-1638	116	72	to	to	ADP
cuesj-1638	116	73	137.04	137.04	NUM
cuesj-1638	116	74	mw	mw	NOUN
cuesj-1638	116	75	,	,	PUNCT
cuesj-1638	116	76	averaging	average	VERB
cuesj-1638	116	77	109.89	109.89	NUM
cuesj-1638	116	78	mw	mw	NOUN
cuesj-1638	116	79	.	.	NOUN
cuesj-1638	116	80	reduction	reduction	NOUN
cuesj-1638	116	81	of	of	ADP
cuesj-1638	116	82	mean	mean	PROPN
cuesj-1638	116	83	mae	mae	PROPN
cuesj-1638	116	84	by	by	ADP
cuesj-1638	116	85	approximately	approximately	ADV
cuesj-1638	116	86	3.75	3.75	NUM
cuesj-1638	116	87	%	%	NOUN
cuesj-1638	116	88	and	and	CCONJ
cuesj-1638	116	89	rmse	rmse	NOUN
cuesj-1638	116	90	by	by	ADP
cuesj-1638	116	91	10.46	10.46	NUM
cuesj-1638	116	92	%	%	NOUN
cuesj-1638	116	93	verifies	verifie	NOUN
cuesj-1638	116	94	that	that	PRON
cuesj-1638	116	95	mitigation	mitigation	NOUN
cuesj-1638	116	96	of	of	ADP
cuesj-1638	116	97	prediction	prediction	NOUN
cuesj-1638	116	98	error	error	NOUN
cuesj-1638	116	99	is	be	AUX
cuesj-1638	116	100	efficacious	efficacious	ADJ
cuesj-1638	116	101	by	by	ADP
cuesj-1638	116	102	means	mean	NOUN
cuesj-1638	116	103	of	of	ADP
cuesj-1638	116	104	recursive	recursive	ADJ
cuesj-1638	116	105	state	state	NOUN
cuesj-1638	116	106	estimation	estimation	NOUN
cuesj-1638	116	107	and	and	CCONJ
cuesj-1638	116	108	filtering	filter	VERB
cuesj-1638	116	109	out	out	ADP
cuesj-1638	116	110	measurement	measurement	NOUN
cuesj-1638	116	111	noise	noise	NOUN
cuesj-1638	116	112	by	by	ADP
cuesj-1638	116	113	means	mean	NOUN
cuesj-1638	116	114	of	of	ADP
cuesj-1638	116	115	the	the	DET
cuesj-1638	116	116	kf	kf	PROPN
cuesj-1638	116	117	.	.	PUNCT
cuesj-1638	117	1	notably	notably	ADV
cuesj-1638	117	2	,	,	PUNCT
cuesj-1638	117	3	improvement	improvement	NOUN
cuesj-1638	117	4	is	be	AUX
cuesj-1638	117	5	most	most	ADV
cuesj-1638	117	6	effective	effective	ADJ
cuesj-1638	117	7	during	during	ADP
cuesj-1638	117	8	stable	stable	ADJ
cuesj-1638	117	9	load	load	NOUN
cuesj-1638	117	10	patterns	pattern	NOUN
cuesj-1638	117	11	,	,	PUNCT
cuesj-1638	117	12	where	where	SCONJ
cuesj-1638	117	13	dynamic	dynamic	ADJ
cuesj-1638	117	14	tracking	tracking	NOUN
cuesj-1638	117	15	of	of	ADP
cuesj-1638	117	16	the	the	DET
cuesj-1638	117	17	table	table	NOUN
cuesj-1638	117	18	1	1	NUM
cuesj-1638	117	19	:	:	PUNCT
cuesj-1638	117	20	descriptive	descriptive	ADJ
cuesj-1638	117	21	statistics	statistic	NOUN
cuesj-1638	117	22	of	of	ADP
cuesj-1638	117	23	electricity	electricity	NOUN
cuesj-1638	117	24	usage	usage	NOUN
cuesj-1638	117	25	per	per	ADP
cuesj-1638	117	26	hour	hour	NOUN
cuesj-1638	117	27	time	time	NOUN
cuesj-1638	117	28	(	(	PUNCT
cuesj-1638	117	29	hour	hour	NOUN
cuesj-1638	117	30	)	)	PUNCT
cuesj-1638	118	1	min	min	PROPN
cuesj-1638	118	2	q1	q1	PROPN
cuesj-1638	118	3	median	median	PROPN
cuesj-1638	118	4	mean	mean	PROPN
cuesj-1638	118	5	q3	q3	PROPN
cuesj-1638	118	6	max	max	PROPN
cuesj-1638	118	7	1	1	NUM
cuesj-1638	118	8	715.95	715.95	NUM
cuesj-1638	118	9	943.74	943.74	NUM
cuesj-1638	118	10	1004.98	1004.98	NUM
cuesj-1638	118	11	1007.72	1007.72	NUM
cuesj-1638	118	12	1057.35	1057.35	NUM
cuesj-1638	118	13	1262.62	1262.62	NUM
cuesj-1638	118	14	2	2	NUM
cuesj-1638	118	15	705.45	705.45	NUM
cuesj-1638	118	16	936.33	936.33	NUM
cuesj-1638	118	17	1010.9	1010.9	NUM
cuesj-1638	118	18	1006.83	1006.83	NUM
cuesj-1638	118	19	1070.79	1070.79	NUM
cuesj-1638	118	20	1247.29	1247.29	NUM
cuesj-1638	118	21	3	3	NUM
cuesj-1638	118	22	718.47	718.47	NUM
cuesj-1638	118	23	937.07	937.07	NUM
cuesj-1638	118	24	1012.2	1012.2	NUM
cuesj-1638	118	25	1005.02	1005.02	NUM
cuesj-1638	118	26	1068.96	1068.96	NUM
cuesj-1638	118	27	1273.33	1273.33	NUM
cuesj-1638	118	28	4	4	NUM
cuesj-1638	118	29	707.36	707.36	NUM
cuesj-1638	118	30	943.61	943.61	NUM
cuesj-1638	118	31	1010.72	1010.72	NUM
cuesj-1638	118	32	1004.17	1004.17	NUM
cuesj-1638	118	33	1075.83	1075.83	NUM
cuesj-1638	118	34	1260.31	1260.31	NUM
cuesj-1638	118	35	5	5	NUM
cuesj-1638	118	36	700.35	700.35	NUM
cuesj-1638	118	37	932.69	932.69	NUM
cuesj-1638	118	38	1010.31	1010.31	NUM
cuesj-1638	118	39	997.9	997.9	NUM
cuesj-1638	118	40	1073.4	1073.4	NUM
cuesj-1638	118	41	1233.22	1233.22	NUM
cuesj-1638	118	42	6	6	NUM
cuesj-1638	118	43	701.06	701.06	NUM
cuesj-1638	118	44	919.61	919.61	NUM
cuesj-1638	118	45	1006.41	1006.41	NUM
cuesj-1638	118	46	997.63	997.63	NUM
cuesj-1638	118	47	1080.44	1080.44	NUM
cuesj-1638	118	48	1256.32	1256.32	NUM
cuesj-1638	118	49	7	7	NUM
cuesj-1638	118	50	700.77	700.77	NUM
cuesj-1638	118	51	916.82	916.82	NUM
cuesj-1638	118	52	1016.19	1016.19	NUM
cuesj-1638	118	53	998.78	998.78	NUM
cuesj-1638	118	54	1079.33	1079.33	NUM
cuesj-1638	118	55	1266.82	1266.82	NUM
cuesj-1638	118	56	8	8	NUM
cuesj-1638	118	57	707.15	707.15	NUM
cuesj-1638	118	58	921.12	921.12	NUM
cuesj-1638	118	59	1031.5	1031.5	NUM
cuesj-1638	118	60	1011.42	1011.42	NUM
cuesj-1638	118	61	1092.34	1092.34	NUM
cuesj-1638	118	62	1277.95	1277.95	NUM
cuesj-1638	118	63	9	9	NUM
cuesj-1638	118	64	743.57	743.57	NUM
cuesj-1638	118	65	932.5	932.5	NUM
cuesj-1638	118	66	1029.84	1029.84	NUM
cuesj-1638	118	67	1016.37	1016.37	NUM
cuesj-1638	118	68	1089.69	1089.69	NUM
cuesj-1638	118	69	1257.37	1257.37	NUM
cuesj-1638	118	70	10	10	NUM
cuesj-1638	118	71	763.7	763.7	NUM
cuesj-1638	118	72	935.84	935.84	NUM
cuesj-1638	118	73	1034.25	1034.25	NUM
cuesj-1638	118	74	1024.11	1024.11	NUM
cuesj-1638	118	75	1089.99	1089.99	NUM
cuesj-1638	118	76	1292.36	1292.36	NUM
cuesj-1638	118	77	11	11	NUM
cuesj-1638	118	78	775.46	775.46	NUM
cuesj-1638	118	79	939.12	939.12	NUM
cuesj-1638	118	80	1025.39	1025.39	NUM
cuesj-1638	118	81	1022.95	1022.95	NUM
cuesj-1638	118	82	1082.66	1082.66	NUM
cuesj-1638	118	83	1316.06	1316.06	NUM
cuesj-1638	118	84	12	12	NUM
cuesj-1638	118	85	748.79	748.79	NUM
cuesj-1638	118	86	957.35	957.35	NUM
cuesj-1638	118	87	1028.08	1028.08	NUM
cuesj-1638	118	88	1025.59	1025.59	NUM
cuesj-1638	118	89	1084.27	1084.27	NUM
cuesj-1638	118	90	1310.61	1310.61	NUM
cuesj-1638	118	91	13	13	NUM
cuesj-1638	118	92	732.83	732.83	NUM
cuesj-1638	118	93	946.5	946.5	NUM
cuesj-1638	118	94	1022.12	1022.12	NUM
cuesj-1638	118	95	1015.88	1015.88	NUM
cuesj-1638	118	96	1071.51	1071.51	NUM
cuesj-1638	118	97	1257.62	1257.62	NUM
cuesj-1638	118	98	14	14	NUM
cuesj-1638	118	99	733.41	733.41	NUM
cuesj-1638	118	100	952.01	952.01	NUM
cuesj-1638	118	101	1023.05	1023.05	NUM
cuesj-1638	118	102	1016.78	1016.78	NUM
cuesj-1638	118	103	1076.13	1076.13	NUM
cuesj-1638	118	104	1246.87	1246.87	NUM
cuesj-1638	118	105	15	15	NUM
cuesj-1638	118	106	737.1	737.1	NUM
cuesj-1638	118	107	946.89	946.89	NUM
cuesj-1638	118	108	1014.84	1014.84	NUM
cuesj-1638	118	109	1010.02	1010.02	NUM
cuesj-1638	118	110	1070.97	1070.97	NUM
cuesj-1638	118	111	1249.71	1249.71	NUM
cuesj-1638	118	112	16	16	NUM
cuesj-1638	118	113	719.25	719.25	NUM
cuesj-1638	118	114	941.5	941.5	NUM
cuesj-1638	118	115	1014.18	1014.18	NUM
cuesj-1638	118	116	1009.27	1009.27	NUM
cuesj-1638	118	117	1067.1	1067.1	NUM
cuesj-1638	118	118	1256.43	1256.43	NUM
cuesj-1638	118	119	17	17	NUM
cuesj-1638	118	120	774.69	774.69	NUM
cuesj-1638	118	121	934.58	934.58	NUM
cuesj-1638	119	1	998.31	998.31	NUM
cuesj-1638	119	2	998.97	998.97	NUM
cuesj-1638	119	3	1051.98	1051.98	NUM
cuesj-1638	119	4	1245.09	1245.09	NUM
cuesj-1638	119	5	18	18	NUM
cuesj-1638	119	6	757.89	757.89	NUM
cuesj-1638	119	7	930.86	930.86	NUM
cuesj-1638	119	8	999.97	999.97	NUM
cuesj-1638	119	9	996.21	996.21	NUM
cuesj-1638	119	10	1046.79	1046.79	NUM
cuesj-1638	119	11	1263.78	1263.78	NUM
cuesj-1638	119	12	19	19	NUM
cuesj-1638	119	13	746.55	746.55	NUM
cuesj-1638	119	14	929.5	929.5	NUM
cuesj-1638	119	15	999.02	999.02	NUM
cuesj-1638	119	16	996.85	996.85	NUM
cuesj-1638	119	17	1050.69	1050.69	NUM
cuesj-1638	119	18	1242.78	1242.78	NUM
cuesj-1638	119	19	20	20	NUM
cuesj-1638	119	20	735.21	735.21	NUM
cuesj-1638	119	21	940.46	940.46	NUM
cuesj-1638	119	22	1006.46	1006.46	NUM
cuesj-1638	119	23	1005.68	1005.68	NUM
cuesj-1638	119	24	1063.23	1063.23	NUM
cuesj-1638	119	25	1229.34	1229.34	NUM
cuesj-1638	119	26	21	21	NUM
cuesj-1638	119	27	781.41	781.41	NUM
cuesj-1638	119	28	938.57	938.57	NUM
cuesj-1638	119	29	998.55	998.55	NUM
cuesj-1638	119	30	1005.41	1005.41	NUM
cuesj-1638	119	31	1061	1061	NUM
cuesj-1638	119	32	1246.77	1246.77	NUM
cuesj-1638	119	33	22	22	NUM
cuesj-1638	119	34	788.97	788.97	NUM
cuesj-1638	119	35	941.85	941.85	NUM
cuesj-1638	119	36	1003.36	1003.36	NUM
cuesj-1638	119	37	1007.19	1007.19	NUM
cuesj-1638	119	38	1066.8	1066.8	NUM
cuesj-1638	119	39	1233.96	1233.96	NUM
cuesj-1638	119	40	23	23	NUM
cuesj-1638	119	41	791.76	791.76	NUM
cuesj-1638	119	42	939.33	939.33	NUM
cuesj-1638	119	43	1010.06	1010.06	NUM
cuesj-1638	119	44	1010.06	1010.06	NUM
cuesj-1638	119	45	1075.62	1075.62	NUM
cuesj-1638	119	46	1239.73	1239.73	NUM
cuesj-1638	119	47	24	24	NUM
cuesj-1638	119	48	745.79	745.79	NUM
cuesj-1638	119	49	946.47	946.47	NUM
cuesj-1638	119	50	1007.79	1007.79	NUM
cuesj-1638	119	51	1010.95	1010.95	NUM
cuesj-1638	119	52	1066.51	1066.51	NUM
cuesj-1638	119	53	1244.56	1244.56	NUM
cuesj-1638	119	54	figure	figure	NOUN
cuesj-1638	119	55	1	1	NUM
cuesj-1638	119	56	:	:	PUNCT
cuesj-1638	119	57	mean	mean	VERB
cuesj-1638	119	58	value	value	NOUN
cuesj-1638	119	59	electricity	electricity	NOUN
cuesj-1638	119	60	consumption	consumption	NOUN
cuesj-1638	119	61	along	along	ADP
cuesj-1638	119	62	the	the	DET
cuesj-1638	119	63	standard	standard	ADJ
cuesj-1638	119	64	deviation	deviation	NOUN
cuesj-1638	119	65	yahya	yahya	NOUN
cuesj-1638	119	66	and	and	CCONJ
cuesj-1638	119	67	mawlood	mawlood	NOUN
cuesj-1638	119	68	:	:	PUNCT
cuesj-1638	119	69	a	a	DET
cuesj-1638	119	70	hybrid	hybrid	ADJ
cuesj-1638	119	71	fuzzy	fuzzy	ADJ
cuesj-1638	119	72	-	-	PUNCT
cuesj-1638	119	73	kalman	kalman	NOUN
cuesj-1638	119	74	filtering	filtering	NOUN
cuesj-1638	119	75	for	for	ADP
cuesj-1638	119	76	short	short	ADJ
cuesj-1638	119	77	-	-	PUNCT
cuesj-1638	119	78	term	term	NOUN
cuesj-1638	119	79	electricity	electricity	NOUN
cuesj-1638	119	80	load	load	NOUN
cuesj-1638	119	81	121	121	NUM
cuesj-1638	119	82	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1638	119	83	cuesj	cuesj	NOUN
cuesj-1638	119	84	2025	2025	NUM
cuesj-1638	119	85	,	,	PUNCT
cuesj-1638	119	86	9	9	NUM
cuesj-1638	119	87	(	(	PUNCT
cuesj-1638	119	88	2	2	NUM
cuesj-1638	119	89	):	):	PUNCT
cuesj-1638	119	90	117	117	NUM
cuesj-1638	119	91	-	-	SYM
cuesj-1638	119	92	124	124	NUM
cuesj-1638	119	93	ta	ta	X
cuesj-1638	119	94	b	b	PROPN
cuesj-1638	119	95	le	le	X
cuesj-1638	119	96	2	2	NUM
cuesj-1638	119	97	:	:	PUNCT
cuesj-1638	119	98	c	c	X
cuesj-1638	120	1	om	om	INTJ
cuesj-1638	120	2	pa	pa	PROPN
cuesj-1638	120	3	ra	ra	PROPN
cuesj-1638	120	4	ti	ti	PROPN
cuesj-1638	120	5	ve	ve	VERB
cuesj-1638	120	6	p	p	X
cuesj-1638	121	1	er	er	INTJ
cuesj-1638	121	2	fo	fo	INTJ
cuesj-1638	121	3	rm	rm	PROPN
cuesj-1638	121	4	an	an	DET
cuesj-1638	121	5	ce	ce	NOUN
cuesj-1638	122	1	o	o	X
cuesj-1638	122	2	f	f	PROPN
cuesj-1638	122	3	f	f	PROPN
cuesj-1638	122	4	uz	uz	X
cuesj-1638	122	5	zy	zy	PROPN
cuesj-1638	122	6	lo	lo	PROPN
cuesj-1638	122	7	gi	gi	NOUN
cuesj-1638	122	8	c	c	PROPN
cuesj-1638	123	1	an	an	DET
cuesj-1638	123	2	d	d	X
cuesj-1638	123	3	k	k	PROPN
cuesj-1638	123	4	al	al	PROPN
cuesj-1638	123	5	m	m	PROPN
cuesj-1638	123	6	an	an	DET
cuesj-1638	123	7	fi	fi	NOUN
cuesj-1638	123	8	lt	lt	INTJ
cuesj-1638	123	9	er	er	INTJ
cuesj-1638	123	10	in	in	ADP
cuesj-1638	123	11	h	h	NOUN
cuesj-1638	123	12	ou	ou	NOUN
cuesj-1638	123	13	rl	rl	ADP
cuesj-1638	123	14	y	y	PROPN
cuesj-1638	123	15	el	el	PROPN
cuesj-1638	123	16	ec	ec	PROPN
cuesj-1638	124	1	tr	tr	VERB
cuesj-1638	124	2	ic	ic	PROPN
cuesj-1638	125	1	it	it	PRON
cuesj-1638	125	2	y	y	NOUN
cuesj-1638	125	3	lo	lo	NOUN
cuesj-1638	125	4	ad	ad	NOUN
cuesj-1638	125	5	fo	fo	INTJ
cuesj-1638	125	6	re	re	ADJ
cuesj-1638	125	7	ca	ca	AUX
cuesj-1638	125	8	st	st	VERB
cuesj-1638	125	9	in	in	ADP
cuesj-1638	125	10	g	g	PROPN
cuesj-1638	125	11	h	h	NOUN
cuesj-1638	125	12	o	o	X
cuesj-1638	126	1	u	u	NOUN
cuesj-1638	127	1	r	r	NOUN
cuesj-1638	128	1	t	t	NOUN
cuesj-1638	129	1	i	i	PRON
cuesj-1638	129	2	m	m	VERB
cuesj-1638	129	3	e	e	NOUN
cuesj-1638	129	4	co	co	X
cuesj-1638	129	5	n	n	PROPN
cuesj-1638	129	6	ve	ve	AUX
cuesj-1638	129	7	rg	rg	PROPN
cuesj-1638	129	8	en	en	PROPN
cuesj-1638	129	9	ce	ce	PROPN
cuesj-1638	129	10	a	a	DET
cuesj-1638	129	11	ct	ct	PROPN
cuesj-1638	129	12	u	u	PROPN
cuesj-1638	129	13	a	a	DET
cuesj-1638	129	14	l	l	NOUN
cuesj-1638	129	15	lo	lo	NOUN
cuesj-1638	130	1	a	a	PRON
cuesj-1638	130	2	d	d	X
cuesj-1638	130	3	f	f	X
cuesj-1638	130	4	u	u	NOUN
cuesj-1638	130	5	zz	zz	PROPN
cuesj-1638	130	6	y	y	NOUN
cuesj-1638	130	7	es	es	X
cuesj-1638	130	8	ti	ti	PROPN
cuesj-1638	130	9	m	m	NOUN
cuesj-1638	130	10	a	a	PRON
cuesj-1638	130	11	te	te	PROPN
cuesj-1638	130	12	h	h	NOUN
cuesj-1638	131	1	yb	yb	PROPN
cuesj-1638	131	2	ri	ri	PROPN
cuesj-1638	132	1	d	d	X
cuesj-1638	132	2	f	f	X
cuesj-1638	132	3	u	u	X
cuesj-1638	132	4	zz	zz	PROPN
cuesj-1638	132	5	y	y	PROPN
cuesj-1638	133	1	k	k	PROPN
cuesj-1638	134	1	a	a	PRON
cuesj-1638	134	2	lm	lm	INTJ
cuesj-1638	134	3	a	a	DET
cuesj-1638	134	4	n	n	X
cuesj-1638	134	5	e	e	PROPN
cuesj-1638	134	6	st	st	PROPN
cuesj-1638	135	1	i	i	X
cuesj-1638	135	2	m	m	VERB
cuesj-1638	135	3	a	a	PRON
cuesj-1638	135	4	te	te	ADP
cuesj-1638	135	5	k	k	PROPN
cuesj-1638	136	1	a	a	DET
cuesj-1638	136	2	lm	lm	INTJ
cuesj-1638	136	3	a	a	PRON
cuesj-1638	136	4	n	n	NOUN
cuesj-1638	136	5	g	g	NOUN
cuesj-1638	136	6	a	a	PRON
cuesj-1638	136	7	in	in	ADP
cuesj-1638	136	8	e	e	X
cuesj-1638	136	9	rr	rr	NOUN
cuesj-1638	136	10	o	o	NOUN
cuesj-1638	136	11	r	r	X
cuesj-1638	136	12	co	co	PROPN
cuesj-1638	136	13	va	va	PROPN
cuesj-1638	136	14	ri	ri	PROPN
cuesj-1638	137	1	a	a	PROPN
cuesj-1638	137	2	n	n	NUM
cuesj-1638	137	3	ce	ce	PROPN
cuesj-1638	137	4	m	m	VERB
cuesj-1638	137	5	a	a	PRON
cuesj-1638	137	6	e	e	X
cuesj-1638	137	7	f	f	X
cuesj-1638	137	8	u	u	NOUN
cuesj-1638	137	9	zz	zz	PROPN
cuesj-1638	137	10	y	y	NOUN
cuesj-1638	137	11	r	r	NOUN
cuesj-1638	137	12	m	m	NOUN
cuesj-1638	137	13	s	s	X
cuesj-1638	137	14	e	e	X
cuesj-1638	137	15	f	f	X
cuesj-1638	137	16	u	u	X
cuesj-1638	137	17	zz	zz	PROPN
cuesj-1638	137	18	y	y	PROPN
cuesj-1638	137	19	m	m	VERB
cuesj-1638	137	20	a	a	DET
cuesj-1638	137	21	e	e	NOUN
cuesj-1638	137	22	h	h	NOUN
cuesj-1638	138	1	yb	yb	INTJ
cuesj-1638	138	2	ri	ri	PROPN
cuesj-1638	139	1	d	d	PROPN
cuesj-1638	139	2	fu	fu	PROPN
cuesj-1638	140	1	zz	zz	PROPN
cuesj-1638	140	2	y	y	PROPN
cuesj-1638	140	3	k	k	PROPN
cuesj-1638	141	1	a	a	PRON
cuesj-1638	141	2	lm	lm	INTJ
cuesj-1638	141	3	a	a	DET
cuesj-1638	141	4	n	n	NOUN
cuesj-1638	141	5	r	r	NOUN
cuesj-1638	141	6	m	m	NOUN
cuesj-1638	141	7	s	s	NOUN
cuesj-1638	141	8	e	e	NOUN
cuesj-1638	141	9	h	h	NOUN
cuesj-1638	141	10	yb	yb	INTJ
cuesj-1638	141	11	ri	ri	PROPN
cuesj-1638	142	1	d	d	PROPN
cuesj-1638	142	2	fu	fu	PROPN
cuesj-1638	143	1	zz	zz	PROPN
cuesj-1638	143	2	y	y	PROPN
cuesj-1638	143	3	k	k	PROPN
cuesj-1638	144	1	a	a	PRON
cuesj-1638	144	2	lm	lm	INTJ
cuesj-1638	144	3	a	a	DET
cuesj-1638	144	4	n	n	NUM
cuesj-1638	144	5	1	1	NUM
cuesj-1638	144	6	18	18	NUM
cuesj-1638	144	7	86	86	NUM
cuesj-1638	144	8	9	9	NUM
cuesj-1638	144	9	99	99	NUM
cuesj-1638	144	10	3	3	NUM
cuesj-1638	144	11	.	.	X
cuesj-1638	144	12	51	51	NUM
cuesj-1638	144	13	75	75	NUM
cuesj-1638	144	14	99	99	NUM
cuesj-1638	144	15	4	4	NUM
cuesj-1638	144	16	.	.	NUM
cuesj-1638	144	17	21	21	NUM
cuesj-1638	144	18	20	20	NUM
cuesj-1638	144	19	0	0	NUM
cuesj-1638	144	20	.	.	PUNCT
cuesj-1638	145	1	36	36	NUM
cuesj-1638	145	2	66	66	NUM
cuesj-1638	145	3	9	9	NUM
cuesj-1638	145	4	.	.	X
cuesj-1638	145	5	31	31	NUM
cuesj-1638	146	1	48	48	NUM
cuesj-1638	146	2	99	99	NUM
cuesj-1638	146	3	.7	.7	NUM
cuesj-1638	146	4	51	51	NUM
cuesj-1638	146	5	3	3	NUM
cuesj-1638	146	6	12	12	NUM
cuesj-1638	146	7	6	6	NUM
cuesj-1638	146	8	.	.	PUNCT
cuesj-1638	146	9	40	40	NUM
cuesj-1638	146	10	92	92	NUM
cuesj-1638	146	11	96	96	NUM
cuesj-1638	146	12	.9	.9	NUM
cuesj-1638	146	13	01	01	NUM
cuesj-1638	146	14	2	2	NUM
cuesj-1638	146	15	11	11	NUM
cuesj-1638	146	16	6	6	NUM
cuesj-1638	146	17	.	.	PUNCT
cuesj-1638	146	18	50	50	NUM
cuesj-1638	146	19	78	78	NUM
cuesj-1638	146	20	2	2	NUM
cuesj-1638	146	21	19	19	NUM
cuesj-1638	146	22	91	91	NUM
cuesj-1638	146	23	3	3	NUM
cuesj-1638	146	24	99	99	NUM
cuesj-1638	146	25	3	3	NUM
cuesj-1638	146	26	.	.	PUNCT
cuesj-1638	146	27	56	56	NUM
cuesj-1638	146	28	88	88	NUM
cuesj-1638	146	29	99	99	NUM
cuesj-1638	146	30	2	2	NUM
cuesj-1638	146	31	.	.	NUM
cuesj-1638	146	32	85	85	NUM
cuesj-1638	146	33	82	82	NUM
cuesj-1638	146	34	0	0	NUM
cuesj-1638	146	35	.	.	NOUN
cuesj-1638	146	36	35	35	NUM
cuesj-1638	146	37	88	88	NUM
cuesj-1638	146	38	9	9	NUM
cuesj-1638	146	39	.	.	PUNCT
cuesj-1638	146	40	08	08	NUM
cuesj-1638	146	41	06	06	NUM
cuesj-1638	147	1	93	93	NUM
cuesj-1638	147	2	.8	.8	NUM
cuesj-1638	147	3	26	26	NUM
cuesj-1638	147	4	9	9	NUM
cuesj-1638	147	5	12	12	NUM
cuesj-1638	147	6	0	0	NUM
cuesj-1638	147	7	.	.	PUNCT
cuesj-1638	148	1	40	40	NUM
cuesj-1638	148	2	91	91	NUM
cuesj-1638	148	3	91	91	NUM
cuesj-1638	149	1	.9	.9	NUM
cuesj-1638	149	2	22	22	NUM
cuesj-1638	149	3	2	2	NUM
cuesj-1638	149	4	11	11	NUM
cuesj-1638	149	5	0	0	NUM
cuesj-1638	149	6	.	.	PUNCT
cuesj-1638	150	1	49	49	NUM
cuesj-1638	150	2	47	47	NUM
cuesj-1638	150	3	3	3	NUM
cuesj-1638	150	4	11	11	NUM
cuesj-1638	150	5	11	11	NUM
cuesj-1638	150	6	25	25	NUM
cuesj-1638	150	7	98	98	NUM
cuesj-1638	150	8	9	9	NUM
cuesj-1638	150	9	.	.	NOUN
cuesj-1638	150	10	83	83	NUM
cuesj-1638	150	11	45	45	NUM
cuesj-1638	150	12	99	99	NUM
cuesj-1638	150	13	8	8	NUM
cuesj-1638	150	14	.	.	PUNCT
cuesj-1638	150	15	89	89	NUM
cuesj-1638	150	16	21	21	NUM
cuesj-1638	150	17	0	0	NUM
cuesj-1638	150	18	.	.	PUNCT
cuesj-1638	150	19	13	13	NUM
cuesj-1638	150	20	21	21	NUM
cuesj-1638	150	21	2	2	NUM
cuesj-1638	150	22	.	.	X
cuesj-1638	150	23	39	39	NUM
cuesj-1638	150	24	12	12	NUM
cuesj-1638	150	25	99	99	NUM
cuesj-1638	150	26	.9	.9	NUM
cuesj-1638	150	27	84	84	NUM
cuesj-1638	150	28	3	3	NUM
cuesj-1638	150	29	12	12	NUM
cuesj-1638	150	30	5	5	NUM
cuesj-1638	150	31	.	.	PUNCT
cuesj-1638	150	32	45	45	NUM
cuesj-1638	150	33	10	10	NUM
cuesj-1638	150	34	91	91	NUM
cuesj-1638	150	35	.1	.1	NUM
cuesj-1638	150	36	24	24	NUM
cuesj-1638	150	37	1	1	NUM
cuesj-1638	150	38	11	11	NUM
cuesj-1638	150	39	0	0	NUM
cuesj-1638	150	40	.	.	PUNCT
cuesj-1638	151	1	67	67	NUM
cuesj-1638	151	2	21	21	NUM
cuesj-1638	151	3	4	4	NUM
cuesj-1638	151	4	20	20	NUM
cuesj-1638	151	5	94	94	NUM
cuesj-1638	151	6	2	2	NUM
cuesj-1638	151	7	98	98	NUM
cuesj-1638	151	8	7	7	NUM
cuesj-1638	151	9	.	.	NOUN
cuesj-1638	151	10	07	07	NUM
cuesj-1638	151	11	95	95	NUM
cuesj-1638	151	12	98	98	NUM
cuesj-1638	151	13	7	7	NUM
cuesj-1638	151	14	.	.	PUNCT
cuesj-1638	151	15	34	34	NUM
cuesj-1638	151	16	70	70	NUM
cuesj-1638	151	17	0	0	NUM
cuesj-1638	151	18	.	.	PUNCT
cuesj-1638	151	19	33	33	NUM
cuesj-1638	151	20	17	17	NUM
cuesj-1638	151	21	7	7	NUM
cuesj-1638	151	22	.	.	PUNCT
cuesj-1638	151	23	91	91	NUM
cuesj-1638	151	24	33	33	NUM
cuesj-1638	151	25	10	10	NUM
cuesj-1638	151	26	5	5	NUM
cuesj-1638	151	27	.	.	PUNCT
cuesj-1638	151	28	32	32	NUM
cuesj-1638	151	29	96	96	NUM
cuesj-1638	151	30	12	12	NUM
cuesj-1638	151	31	8	8	NUM
cuesj-1638	151	32	.	.	PUNCT
cuesj-1638	152	1	97	97	NUM
cuesj-1638	152	2	29	29	NUM
cuesj-1638	152	3	10	10	NUM
cuesj-1638	152	4	3	3	NUM
cuesj-1638	152	5	.	.	PUNCT
cuesj-1638	152	6	23	23	NUM
cuesj-1638	152	7	37	37	NUM
cuesj-1638	152	8	12	12	NUM
cuesj-1638	152	9	8	8	NUM
cuesj-1638	152	10	.	.	PUNCT
cuesj-1638	153	1	87	87	NUM
cuesj-1638	153	2	43	43	NUM
cuesj-1638	153	3	5	5	NUM
cuesj-1638	153	4	10	10	NUM
cuesj-1638	153	5	93	93	NUM
cuesj-1638	153	6	7	7	NUM
cuesj-1638	153	7	99	99	NUM
cuesj-1638	153	8	0	0	NUM
cuesj-1638	153	9	.	.	PUNCT
cuesj-1638	153	10	08	08	NUM
cuesj-1638	153	11	41	41	NUM
cuesj-1638	153	12	99	99	NUM
cuesj-1638	153	13	0	0	NUM
cuesj-1638	153	14	.	.	PUNCT
cuesj-1638	154	1	05	05	NUM
cuesj-1638	155	1	17	17	NUM
cuesj-1638	155	2	0	0	NUM
cuesj-1638	155	3	.	.	PUNCT
cuesj-1638	156	1	63	63	NUM
cuesj-1638	156	2	95	95	NUM
cuesj-1638	156	3	15	15	NUM
cuesj-1638	156	4	.0	.0	NUM
cuesj-1638	156	5	21	21	NUM
cuesj-1638	156	6	4	4	NUM
cuesj-1638	156	7	11	11	NUM
cuesj-1638	156	8	0	0	NUM
cuesj-1638	156	9	.	.	PUNCT
cuesj-1638	157	1	13	13	NUM
cuesj-1638	157	2	16	16	NUM
cuesj-1638	157	3	13	13	NUM
cuesj-1638	157	4	7	7	NUM
cuesj-1638	157	5	.	.	PUNCT
cuesj-1638	157	6	14	14	NUM
cuesj-1638	157	7	14	14	NUM
cuesj-1638	157	8	10	10	NUM
cuesj-1638	157	9	8	8	NUM
cuesj-1638	157	10	.	.	PUNCT
cuesj-1638	158	1	02	02	NUM
cuesj-1638	158	2	57	57	NUM
cuesj-1638	158	3	13	13	NUM
cuesj-1638	158	4	7	7	NUM
cuesj-1638	158	5	.	.	SYM
cuesj-1638	158	6	04	04	NUM
cuesj-1638	158	7	20	20	NUM
cuesj-1638	158	8	6	6	NUM
cuesj-1638	158	9	9	9	NUM
cuesj-1638	158	10	95	95	NUM
cuesj-1638	158	11	7	7	NUM
cuesj-1638	158	12	99	99	NUM
cuesj-1638	158	13	1	1	NUM
cuesj-1638	158	14	.	.	NUM
cuesj-1638	158	15	29	29	NUM
cuesj-1638	158	16	38	38	NUM
cuesj-1638	158	17	98	98	NUM
cuesj-1638	158	18	8	8	NUM
cuesj-1638	158	19	.	.	PUNCT
cuesj-1638	159	1	58	58	NUM
cuesj-1638	159	2	44	44	NUM
cuesj-1638	159	3	0	0	NUM
cuesj-1638	159	4	.	.	PUNCT
cuesj-1638	160	1	63	63	NUM
cuesj-1638	160	2	88	88	NUM
cuesj-1638	160	3	14	14	NUM
cuesj-1638	160	4	.8	.8	NUM
cuesj-1638	160	5	23	23	NUM
cuesj-1638	160	6	3	3	NUM
cuesj-1638	160	7	10	10	NUM
cuesj-1638	160	8	8	8	NUM
cuesj-1638	160	9	.	.	PUNCT
cuesj-1638	161	1	34	34	NUM
cuesj-1638	161	2	57	57	NUM
cuesj-1638	161	3	13	13	NUM
cuesj-1638	161	4	5	5	NUM
cuesj-1638	161	5	.	.	NOUN
cuesj-1638	161	6	49	49	NUM
cuesj-1638	161	7	50	50	NUM
cuesj-1638	161	8	10	10	NUM
cuesj-1638	161	9	2	2	NUM
cuesj-1638	161	10	.	.	NUM
cuesj-1638	161	11	24	24	NUM
cuesj-1638	161	12	15	15	NUM
cuesj-1638	161	13	13	13	NUM
cuesj-1638	161	14	5	5	NUM
cuesj-1638	161	15	.	.	PUNCT
cuesj-1638	161	16	38	38	NUM
cuesj-1638	161	17	20	20	NUM
cuesj-1638	161	18	7	7	NUM
cuesj-1638	161	19	13	13	NUM
cuesj-1638	161	20	97	97	NUM
cuesj-1638	161	21	0	0	NUM
cuesj-1638	161	22	98	98	NUM
cuesj-1638	161	23	5	5	NUM
cuesj-1638	161	24	.	.	NUM
cuesj-1638	161	25	49	49	NUM
cuesj-1638	161	26	66	66	NUM
cuesj-1638	161	27	98	98	NUM
cuesj-1638	161	28	3	3	NUM
cuesj-1638	161	29	.	.	PUNCT
cuesj-1638	161	30	66	66	NUM
cuesj-1638	161	31	82	82	NUM
cuesj-1638	161	32	0	0	NUM
cuesj-1638	161	33	.	.	PUNCT
cuesj-1638	162	1	50	50	NUM
cuesj-1638	162	2	41	41	NUM
cuesj-1638	162	3	11	11	NUM
cuesj-1638	162	4	.6	.6	NUM
cuesj-1638	162	5	60	60	NUM
cuesj-1638	162	6	9	9	NUM
cuesj-1638	162	7	98	98	NUM
cuesj-1638	162	8	.0	.0	NUM
cuesj-1638	162	9	97	97	NUM
cuesj-1638	162	10	2	2	NUM
cuesj-1638	162	11	12	12	NUM
cuesj-1638	162	12	0	0	NUM
cuesj-1638	162	13	.	.	PUNCT
cuesj-1638	163	1	84	84	NUM
cuesj-1638	163	2	65	65	NUM
cuesj-1638	163	3	91	91	NUM
cuesj-1638	163	4	.0	.0	NUM
cuesj-1638	163	5	11	11	NUM
cuesj-1638	163	6	2	2	NUM
cuesj-1638	163	7	12	12	NUM
cuesj-1638	163	8	0	0	NUM
cuesj-1638	163	9	.	.	PUNCT
cuesj-1638	164	1	72	72	NUM
cuesj-1638	164	2	22	22	NUM
cuesj-1638	164	3	8	8	NUM
cuesj-1638	164	4	15	15	NUM
cuesj-1638	164	5	10	10	NUM
cuesj-1638	164	6	19	19	NUM
cuesj-1638	164	7	99	99	NUM
cuesj-1638	164	8	8	8	NUM
cuesj-1638	164	9	.	.	PUNCT
cuesj-1638	165	1	98	98	NUM
cuesj-1638	165	2	41	41	NUM
cuesj-1638	165	3	99	99	NUM
cuesj-1638	165	4	1	1	NUM
cuesj-1638	165	5	.	.	PUNCT
cuesj-1638	166	1	78	78	NUM
cuesj-1638	166	2	21	21	NUM
cuesj-1638	166	3	0	0	NUM
cuesj-1638	166	4	.	.	PUNCT
cuesj-1638	166	5	21	21	NUM
cuesj-1638	166	6	31	31	NUM
cuesj-1638	166	7	0	0	NUM
cuesj-1638	166	8	.	.	X
cuesj-1638	166	9	89	89	NUM
cuesj-1638	166	10	21	21	NUM
cuesj-1638	166	11	97	97	NUM
cuesj-1638	166	12	.3	.3	NUM
cuesj-1638	166	13	19	19	NUM
cuesj-1638	166	14	8	8	NUM
cuesj-1638	166	15	11	11	NUM
cuesj-1638	166	16	1	1	NUM
cuesj-1638	166	17	.	.	PUNCT
cuesj-1638	166	18	65	65	NUM
cuesj-1638	166	19	21	21	NUM
cuesj-1638	166	20	91	91	NUM
cuesj-1638	167	1	.2	.2	NUM
cuesj-1638	167	2	14	14	NUM
cuesj-1638	167	3	5	5	NUM
cuesj-1638	167	4	11	11	NUM
cuesj-1638	167	5	1	1	NUM
cuesj-1638	167	6	.	.	NUM
cuesj-1638	167	7	13	13	NUM
cuesj-1638	167	8	56	56	NUM
cuesj-1638	167	9	9	9	NUM
cuesj-1638	167	10	12	12	NUM
cuesj-1638	167	11	91	91	NUM
cuesj-1638	167	12	1	1	NUM
cuesj-1638	167	13	96	96	NUM
cuesj-1638	167	14	9	9	NUM
cuesj-1638	167	15	.	.	X
cuesj-1638	167	16	52	52	NUM
cuesj-1638	167	17	56	56	NUM
cuesj-1638	167	18	96	96	NUM
cuesj-1638	167	19	8	8	NUM
cuesj-1638	167	20	.	.	PUNCT
cuesj-1638	168	1	68	68	NUM
cuesj-1638	168	2	63	63	NUM
cuesj-1638	168	3	0	0	NUM
cuesj-1638	168	4	.	.	PUNCT
cuesj-1638	168	5	50	50	NUM
cuesj-1638	168	6	19	19	NUM
cuesj-1638	168	7	12	12	NUM
cuesj-1638	168	8	.3	.3	NUM
cuesj-1638	168	9	68	68	NUM
cuesj-1638	168	10	5	5	NUM
cuesj-1638	168	11	87	87	NUM
cuesj-1638	168	12	.3	.3	NUM
cuesj-1638	168	13	74	74	NUM
cuesj-1638	168	14	5	5	NUM
cuesj-1638	168	15	11	11	NUM
cuesj-1638	168	16	4	4	NUM
cuesj-1638	168	17	.	.	PUNCT
cuesj-1638	169	1	41	41	NUM
cuesj-1638	169	2	30	30	NUM
cuesj-1638	169	3	83	83	NUM
cuesj-1638	169	4	.4	.4	NUM
cuesj-1638	169	5	17	17	NUM
cuesj-1638	169	6	6	6	NUM
cuesj-1638	169	7	10	10	NUM
cuesj-1638	169	8	4	4	NUM
cuesj-1638	169	9	.	.	PUNCT
cuesj-1638	170	1	56	56	NUM
cuesj-1638	170	2	22	22	NUM
cuesj-1638	170	3	10	10	NUM
cuesj-1638	170	4	11	11	NUM
cuesj-1638	170	5	92	92	NUM
cuesj-1638	170	6	0	0	NUM
cuesj-1638	170	7	97	97	NUM
cuesj-1638	170	8	2	2	NUM
cuesj-1638	170	9	.	.	PUNCT
cuesj-1638	170	10	55	55	NUM
cuesj-1638	170	11	06	06	NUM
cuesj-1638	170	12	97	97	NUM
cuesj-1638	170	13	3	3	NUM
cuesj-1638	170	14	.	.	NOUN
cuesj-1638	170	15	91	91	NUM
cuesj-1638	170	16	42	42	NUM
cuesj-1638	170	17	0	0	NUM
cuesj-1638	170	18	.	.	PUNCT
cuesj-1638	171	1	54	54	NUM
cuesj-1638	171	2	77	77	NUM
cuesj-1638	171	3	13	13	NUM
cuesj-1638	171	4	.7	.7	NUM
cuesj-1638	171	5	59	59	NUM
cuesj-1638	171	6	0	0	NUM
cuesj-1638	171	7	87	87	NUM
cuesj-1638	171	8	.2	.2	NUM
cuesj-1638	171	9	72	72	NUM
cuesj-1638	171	10	6	6	NUM
cuesj-1638	171	11	11	11	NUM
cuesj-1638	171	12	2	2	NUM
cuesj-1638	171	13	.	.	X
cuesj-1638	171	14	32	32	NUM
cuesj-1638	171	15	33	33	NUM
cuesj-1638	171	16	82	82	NUM
cuesj-1638	171	17	.4	.4	NUM
cuesj-1638	171	18	76	76	NUM
cuesj-1638	171	19	4	4	NUM
cuesj-1638	171	20	10	10	NUM
cuesj-1638	171	21	2	2	NUM
cuesj-1638	171	22	.	.	X
cuesj-1638	171	23	51	51	NUM
cuesj-1638	171	24	88	88	NUM
cuesj-1638	171	25	11	11	NUM
cuesj-1638	171	26	13	13	NUM
cuesj-1638	171	27	93	93	NUM
cuesj-1638	171	28	3	3	NUM
cuesj-1638	171	29	98	98	NUM
cuesj-1638	171	30	1	1	NUM
cuesj-1638	171	31	.	.	PUNCT
cuesj-1638	171	32	81	81	NUM
cuesj-1638	171	33	18	18	NUM
cuesj-1638	171	34	98	98	NUM
cuesj-1638	171	35	0	0	NUM
cuesj-1638	171	36	.	.	PUNCT
cuesj-1638	171	37	88	88	NUM
cuesj-1638	171	38	49	49	NUM
cuesj-1638	171	39	0	0	NUM
cuesj-1638	171	40	.	.	PUNCT
cuesj-1638	172	1	49	49	NUM
cuesj-1638	172	2	84	84	NUM
cuesj-1638	172	3	12	12	NUM
cuesj-1638	172	4	.6	.6	NUM
cuesj-1638	172	5	17	17	NUM
cuesj-1638	172	6	1	1	NUM
cuesj-1638	172	7	88	88	NUM
cuesj-1638	172	8	.5	.5	NUM
cuesj-1638	172	9	46	46	NUM
cuesj-1638	172	10	5	5	NUM
cuesj-1638	172	11	11	11	NUM
cuesj-1638	172	12	1	1	NUM
cuesj-1638	172	13	.	.	PUNCT
cuesj-1638	172	14	69	69	NUM
cuesj-1638	172	15	72	72	NUM
cuesj-1638	172	16	85	85	NUM
cuesj-1638	172	17	.6	.6	NUM
cuesj-1638	172	18	64	64	NUM
cuesj-1638	172	19	8	8	NUM
cuesj-1638	172	20	10	10	NUM
cuesj-1638	172	21	1	1	NUM
cuesj-1638	172	22	.	.	NUM
cuesj-1638	172	23	85	85	NUM
cuesj-1638	172	24	15	15	NUM
cuesj-1638	172	25	12	12	NUM
cuesj-1638	172	26	14	14	NUM
cuesj-1638	172	27	97	97	NUM
cuesj-1638	172	28	4	4	NUM
cuesj-1638	172	29	99	99	NUM
cuesj-1638	172	30	7	7	NUM
cuesj-1638	172	31	.	.	NUM
cuesj-1638	172	32	17	17	NUM
cuesj-1638	172	33	79	79	NUM
cuesj-1638	172	34	99	99	NUM
cuesj-1638	172	35	7	7	NUM
cuesj-1638	172	36	.	.	NUM
cuesj-1638	172	37	19	19	NUM
cuesj-1638	172	38	24	24	NUM
cuesj-1638	172	39	0	0	NUM
cuesj-1638	172	40	.	.	PUNCT
cuesj-1638	173	1	45	45	NUM
cuesj-1638	173	2	25	25	NUM
cuesj-1638	173	3	11	11	NUM
cuesj-1638	173	4	.7	.7	NUM
cuesj-1638	173	5	43	43	NUM
cuesj-1638	173	6	2	2	NUM
cuesj-1638	173	7	90	90	NUM
cuesj-1638	173	8	.6	.6	NUM
cuesj-1638	173	9	17	17	NUM
cuesj-1638	173	10	9	9	NUM
cuesj-1638	173	11	11	11	NUM
cuesj-1638	173	12	4	4	NUM
cuesj-1638	173	13	.	.	NUM
cuesj-1638	173	14	01	01	NUM
cuesj-1638	173	15	69	69	NUM
cuesj-1638	173	16	89	89	NUM
cuesj-1638	173	17	.8	.8	NUM
cuesj-1638	173	18	10	10	NUM
cuesj-1638	173	19	2	2	NUM
cuesj-1638	173	20	10	10	NUM
cuesj-1638	173	21	4	4	NUM
cuesj-1638	173	22	.	.	NOUN
cuesj-1638	173	23	20	20	NUM
cuesj-1638	173	24	56	56	NUM
cuesj-1638	173	25	13	13	NUM
cuesj-1638	173	26	17	17	NUM
cuesj-1638	173	27	93	93	NUM
cuesj-1638	173	28	1	1	NUM
cuesj-1638	173	29	10	10	NUM
cuesj-1638	173	30	04	04	NUM
cuesj-1638	173	31	.3	.3	NUM
cuesj-1638	173	32	80	80	NUM
cuesj-1638	173	33	5	5	NUM
cuesj-1638	173	34	10	10	NUM
cuesj-1638	173	35	03	03	NUM
cuesj-1638	173	36	.9	.9	NUM
cuesj-1638	173	37	53	53	NUM
cuesj-1638	173	38	9	9	NUM
cuesj-1638	173	39	0	0	NUM
cuesj-1638	173	40	.	.	PUNCT
cuesj-1638	174	1	38	38	NUM
cuesj-1638	174	2	45	45	NUM
cuesj-1638	174	3	9	9	NUM
cuesj-1638	174	4	.	.	X
cuesj-1638	174	5	99	99	NUM
cuesj-1638	174	6	20	20	NUM
cuesj-1638	174	7	10	10	NUM
cuesj-1638	174	8	1	1	NUM
cuesj-1638	174	9	.	.	PUNCT
cuesj-1638	175	1	91	91	NUM
cuesj-1638	175	2	71	71	NUM
cuesj-1638	175	3	12	12	NUM
cuesj-1638	175	4	6	6	NUM
cuesj-1638	175	5	.	.	PUNCT
cuesj-1638	176	1	56	56	NUM
cuesj-1638	176	2	12	12	NUM
cuesj-1638	176	3	10	10	NUM
cuesj-1638	176	4	0	0	NUM
cuesj-1638	176	5	.	.	PUNCT
cuesj-1638	177	1	14	14	NUM
cuesj-1638	177	2	27	27	NUM
cuesj-1638	177	3	10	10	NUM
cuesj-1638	177	4	6	6	NUM
cuesj-1638	177	5	.	.	PUNCT
cuesj-1638	178	1	73	73	NUM
cuesj-1638	178	2	05	05	NUM
cuesj-1638	178	3	14	14	NUM
cuesj-1638	178	4	32	32	NUM
cuesj-1638	178	5	12	12	NUM
cuesj-1638	178	6	23	23	NUM
cuesj-1638	178	7	10	10	NUM
cuesj-1638	178	8	10	10	NUM
cuesj-1638	178	9	.0	.0	NUM
cuesj-1638	178	10	12	12	NUM
cuesj-1638	178	11	8	8	NUM
cuesj-1638	178	12	10	10	NUM
cuesj-1638	178	13	09	09	NUM
cuesj-1638	178	14	.2	.2	NUM
cuesj-1638	178	15	44	44	NUM
cuesj-1638	178	16	9	9	NUM
cuesj-1638	178	17	0	0	NUM
cuesj-1638	178	18	.	.	PUNCT
cuesj-1638	179	1	23	23	NUM
cuesj-1638	179	2	75	75	NUM
cuesj-1638	179	3	6	6	NUM
cuesj-1638	179	4	.	.	PUNCT
cuesj-1638	179	5	12	12	NUM
cuesj-1638	179	6	91	91	NUM
cuesj-1638	179	7	10	10	NUM
cuesj-1638	179	8	2	2	NUM
cuesj-1638	179	9	.	.	NUM
cuesj-1638	179	10	99	99	NUM
cuesj-1638	179	11	25	25	NUM
cuesj-1638	179	12	12	12	NUM
cuesj-1638	179	13	7	7	NUM
cuesj-1638	179	14	.	.	SYM
cuesj-1638	179	15	20	20	NUM
cuesj-1638	179	16	11	11	NUM
cuesj-1638	179	17	10	10	NUM
cuesj-1638	179	18	1	1	NUM
cuesj-1638	179	19	.	.	NUM
cuesj-1638	179	20	19	19	NUM
cuesj-1638	179	21	41	41	NUM
cuesj-1638	179	22	10	10	NUM
cuesj-1638	179	23	7	7	NUM
cuesj-1638	179	24	.	.	X
cuesj-1638	179	25	39	39	NUM
cuesj-1638	179	26	71	71	NUM
cuesj-1638	179	27	15	15	NUM
cuesj-1638	179	28	19	19	NUM
cuesj-1638	179	29	91	91	NUM
cuesj-1638	179	30	0	0	NUM
cuesj-1638	179	31	10	10	NUM
cuesj-1638	179	32	03	03	NUM
cuesj-1638	180	1	.4	.4	NUM
cuesj-1638	180	2	64	64	NUM
cuesj-1638	180	3	0	0	NUM
cuesj-1638	180	4	10	10	NUM
cuesj-1638	180	5	02	02	NUM
cuesj-1638	180	6	.2	.2	NUM
cuesj-1638	180	7	43	43	NUM
cuesj-1638	180	8	9	9	NUM
cuesj-1638	180	9	0	0	NUM
cuesj-1638	180	10	.	.	NOUN
cuesj-1638	180	11	35	35	NUM
cuesj-1638	180	12	61	61	NUM
cuesj-1638	180	13	9	9	NUM
cuesj-1638	180	14	.	.	PUNCT
cuesj-1638	180	15	17	17	NUM
cuesj-1638	180	16	03	03	NUM
cuesj-1638	180	17	10	10	NUM
cuesj-1638	180	18	2	2	NUM
cuesj-1638	180	19	.	.	NUM
cuesj-1638	180	20	89	89	NUM
cuesj-1638	180	21	88	88	NUM
cuesj-1638	180	22	12	12	NUM
cuesj-1638	180	23	6	6	NUM
cuesj-1638	180	24	.	.	NUM
cuesj-1638	180	25	44	44	NUM
cuesj-1638	181	1	47	47	NUM
cuesj-1638	181	2	10	10	NUM
cuesj-1638	181	3	1	1	NUM
cuesj-1638	181	4	.	.	X
cuesj-1638	182	1	99	99	NUM
cuesj-1638	182	2	47	47	NUM
cuesj-1638	182	3	10	10	NUM
cuesj-1638	182	4	6	6	NUM
cuesj-1638	182	5	.	.	PUNCT
cuesj-1638	183	1	56	56	NUM
cuesj-1638	183	2	36	36	NUM
cuesj-1638	183	3	16	16	NUM
cuesj-1638	183	4	29	29	NUM
cuesj-1638	183	5	96	96	NUM
cuesj-1638	183	6	6	6	NUM
cuesj-1638	183	7	99	99	NUM
cuesj-1638	183	8	9	9	NUM
cuesj-1638	183	9	.	.	PUNCT
cuesj-1638	184	1	70	70	NUM
cuesj-1638	184	2	01	01	NUM
cuesj-1638	184	3	99	99	NUM
cuesj-1638	184	4	8	8	NUM
cuesj-1638	184	5	.	.	PUNCT
cuesj-1638	185	1	93	93	NUM
cuesj-1638	185	2	55	55	NUM
cuesj-1638	185	3	0	0	NUM
cuesj-1638	185	4	.	.	PUNCT
cuesj-1638	185	5	27	27	NUM
cuesj-1638	185	6	76	76	NUM
cuesj-1638	185	7	7	7	NUM
cuesj-1638	185	8	.	.	PUNCT
cuesj-1638	185	9	04	04	NUM
cuesj-1638	185	10	89	89	NUM
cuesj-1638	185	11	99	99	NUM
cuesj-1638	185	12	.3	.3	NUM
cuesj-1638	185	13	46	46	NUM
cuesj-1638	185	14	3	3	NUM
cuesj-1638	185	15	12	12	NUM
cuesj-1638	185	16	3	3	NUM
cuesj-1638	185	17	.	.	NUM
cuesj-1638	185	18	08	08	NUM
cuesj-1638	185	19	28	28	NUM
cuesj-1638	185	20	87	87	NUM
cuesj-1638	185	21	.4	.4	NUM
cuesj-1638	186	1	77	77	NUM
cuesj-1638	187	1	9	9	NUM
cuesj-1638	187	2	10	10	NUM
cuesj-1638	187	3	3	3	NUM
cuesj-1638	187	4	.	.	NUM
cuesj-1638	187	5	21	21	NUM
cuesj-1638	187	6	02	02	NUM
cuesj-1638	187	7	17	17	NUM
cuesj-1638	187	8	14	14	NUM
cuesj-1638	187	9	91	91	NUM
cuesj-1638	187	10	1	1	NUM
cuesj-1638	187	11	97	97	NUM
cuesj-1638	187	12	8	8	NUM
cuesj-1638	187	13	.	.	PUNCT
cuesj-1638	187	14	04	04	NUM
cuesj-1638	187	15	35	35	NUM
cuesj-1638	187	16	97	97	NUM
cuesj-1638	187	17	8	8	NUM
cuesj-1638	187	18	.	.	PUNCT
cuesj-1638	188	1	36	36	NUM
cuesj-1638	188	2	40	40	NUM
cuesj-1638	188	3	0	0	NUM
cuesj-1638	188	4	.	.	PUNCT
cuesj-1638	189	1	46	46	NUM
cuesj-1638	189	2	99	99	NUM
cuesj-1638	189	3	11	11	NUM
cuesj-1638	189	4	.7	.7	NUM
cuesj-1638	189	5	82	82	NUM
cuesj-1638	189	6	8	8	NUM
cuesj-1638	189	7	95	95	NUM
cuesj-1638	189	8	.3	.3	NUM
cuesj-1638	189	9	13	13	NUM
cuesj-1638	189	10	9	9	NUM
cuesj-1638	189	11	11	11	NUM
cuesj-1638	189	12	6	6	NUM
cuesj-1638	189	13	.	.	PUNCT
cuesj-1638	190	1	76	76	NUM
cuesj-1638	190	2	49	49	NUM
cuesj-1638	190	3	93	93	NUM
cuesj-1638	190	4	.4	.4	NUM
cuesj-1638	190	5	21	21	NUM
cuesj-1638	190	6	6	6	NUM
cuesj-1638	190	7	10	10	NUM
cuesj-1638	190	8	6	6	NUM
cuesj-1638	190	9	.	.	PUNCT
cuesj-1638	191	1	84	84	NUM
cuesj-1638	191	2	94	94	NUM
cuesj-1638	191	3	18	18	NUM
cuesj-1638	191	4	13	13	NUM
cuesj-1638	191	5	84	84	NUM
cuesj-1638	191	6	2	2	NUM
cuesj-1638	191	7	97	97	NUM
cuesj-1638	191	8	5	5	NUM
cuesj-1638	191	9	.	.	NUM
cuesj-1638	191	10	89	89	NUM
cuesj-1638	191	11	41	41	NUM
cuesj-1638	191	12	97	97	NUM
cuesj-1638	191	13	4	4	NUM
cuesj-1638	191	14	.	.	PUNCT
cuesj-1638	191	15	84	84	NUM
cuesj-1638	191	16	87	87	NUM
cuesj-1638	191	17	0	0	NUM
cuesj-1638	191	18	.	.	PUNCT
cuesj-1638	192	1	48	48	NUM
cuesj-1638	192	2	58	58	NUM
cuesj-1638	192	3	12	12	NUM
cuesj-1638	192	4	.1	.1	NUM
cuesj-1638	192	5	11	11	NUM
cuesj-1638	192	6	9	9	NUM
cuesj-1638	192	7	94	94	NUM
cuesj-1638	192	8	.6	.6	NUM
cuesj-1638	192	9	49	49	NUM
cuesj-1638	192	10	1	1	NUM
cuesj-1638	192	11	11	11	NUM
cuesj-1638	192	12	7	7	NUM
cuesj-1638	192	13	.	.	NOUN
cuesj-1638	192	14	20	20	NUM
cuesj-1638	192	15	03	03	NUM
cuesj-1638	192	16	91	91	NUM
cuesj-1638	192	17	.7	.7	NUM
cuesj-1638	192	18	24	24	NUM
cuesj-1638	192	19	1	1	NUM
cuesj-1638	192	20	10	10	NUM
cuesj-1638	192	21	7	7	NUM
cuesj-1638	192	22	.	.	NUM
cuesj-1638	192	23	24	24	NUM
cuesj-1638	192	24	76	76	NUM
cuesj-1638	192	25	19	19	NUM
cuesj-1638	192	26	13	13	NUM
cuesj-1638	192	27	84	84	NUM
cuesj-1638	192	28	7	7	NUM
cuesj-1638	192	29	97	97	NUM
cuesj-1638	192	30	5	5	NUM
cuesj-1638	192	31	.	.	NOUN
cuesj-1638	192	32	64	64	NUM
cuesj-1638	192	33	25	25	NUM
cuesj-1638	192	34	97	97	NUM
cuesj-1638	192	35	4	4	NUM
cuesj-1638	192	36	.	.	PUNCT
cuesj-1638	192	37	77	77	NUM
cuesj-1638	192	38	75	75	NUM
cuesj-1638	192	39	0	0	NUM
cuesj-1638	192	40	.	.	PUNCT
cuesj-1638	193	1	47	47	NUM
cuesj-1638	193	2	96	96	NUM
cuesj-1638	193	3	11	11	NUM
cuesj-1638	193	4	.9	.9	NUM
cuesj-1638	193	5	16	16	NUM
cuesj-1638	193	6	7	7	NUM
cuesj-1638	193	7	95	95	NUM
cuesj-1638	193	8	.7	.7	NUM
cuesj-1638	193	9	08	08	NUM
cuesj-1638	193	10	2	2	NUM
cuesj-1638	193	11	11	11	NUM
cuesj-1638	193	12	8	8	NUM
cuesj-1638	193	13	.	.	PUNCT
cuesj-1638	194	1	56	56	NUM
cuesj-1638	194	2	07	07	NUM
cuesj-1638	194	3	91	91	NUM
cuesj-1638	194	4	.8	.8	NUM
cuesj-1638	194	5	66	66	NUM
cuesj-1638	194	6	5	5	NUM
cuesj-1638	194	7	10	10	NUM
cuesj-1638	194	8	8	8	NUM
cuesj-1638	194	9	.	.	PUNCT
cuesj-1638	195	1	69	69	NUM
cuesj-1638	195	2	98	98	NUM
cuesj-1638	195	3	20	20	NUM
cuesj-1638	195	4	12	12	NUM
cuesj-1638	195	5	89	89	NUM
cuesj-1638	195	6	5	5	NUM
cuesj-1638	195	7	97	97	NUM
cuesj-1638	195	8	8	8	NUM
cuesj-1638	195	9	.	.	PUNCT
cuesj-1638	195	10	80	80	NUM
cuesj-1638	195	11	31	31	NUM
cuesj-1638	195	12	97	97	NUM
cuesj-1638	195	13	8	8	NUM
cuesj-1638	195	14	.	.	PUNCT
cuesj-1638	196	1	65	65	NUM
cuesj-1638	196	2	36	36	NUM
cuesj-1638	196	3	0	0	NUM
cuesj-1638	196	4	.	.	PUNCT
cuesj-1638	197	1	53	53	NUM
cuesj-1638	197	2	84	84	NUM
cuesj-1638	197	3	13	13	NUM
cuesj-1638	197	4	.5	.5	NUM
cuesj-1638	197	5	67	67	NUM
cuesj-1638	197	6	7	7	NUM
cuesj-1638	197	7	95	95	NUM
cuesj-1638	197	8	.6	.6	NUM
cuesj-1638	197	9	42	42	NUM
cuesj-1638	197	10	5	5	NUM
cuesj-1638	197	11	11	11	NUM
cuesj-1638	197	12	9	9	NUM
cuesj-1638	197	13	.	.	PUNCT
cuesj-1638	197	14	25	25	NUM
cuesj-1638	197	15	86	86	NUM
cuesj-1638	197	16	92	92	NUM
cuesj-1638	197	17	.7	.7	NUM
cuesj-1638	197	18	77	77	NUM
cuesj-1638	197	19	3	3	NUM
cuesj-1638	197	20	10	10	NUM
cuesj-1638	197	21	9	9	NUM
cuesj-1638	197	22	.	.	NOUN
cuesj-1638	197	23	29	29	NUM
cuesj-1638	197	24	60	60	NUM
cuesj-1638	197	25	21	21	NUM
cuesj-1638	197	26	17	17	NUM
cuesj-1638	197	27	86	86	NUM
cuesj-1638	197	28	5	5	NUM
cuesj-1638	197	29	98	98	NUM
cuesj-1638	197	30	4	4	NUM
cuesj-1638	197	31	.	.	NUM
cuesj-1638	197	32	21	21	NUM
cuesj-1638	197	33	27	27	NUM
cuesj-1638	197	34	98	98	NUM
cuesj-1638	197	35	3	3	NUM
cuesj-1638	197	36	.	.	PUNCT
cuesj-1638	197	37	66	66	NUM
cuesj-1638	197	38	44	44	NUM
cuesj-1638	197	39	0	0	NUM
cuesj-1638	197	40	.	.	PUNCT
cuesj-1638	197	41	40	40	NUM
cuesj-1638	197	42	42	42	NUM
cuesj-1638	197	43	10	10	NUM
cuesj-1638	197	44	.1	.1	NUM
cuesj-1638	197	45	42	42	NUM
cuesj-1638	197	46	8	8	NUM
cuesj-1638	197	47	10	10	NUM
cuesj-1638	197	48	2	2	NUM
cuesj-1638	197	49	.	.	NUM
cuesj-1638	197	50	35	35	NUM
cuesj-1638	197	51	56	56	NUM
cuesj-1638	197	52	12	12	NUM
cuesj-1638	197	53	5	5	NUM
cuesj-1638	197	54	.	.	PUNCT
cuesj-1638	197	55	48	48	NUM
cuesj-1638	197	56	25	25	NUM
cuesj-1638	197	57	99	99	NUM
cuesj-1638	197	58	.5	.5	NUM
cuesj-1638	197	59	32	32	NUM
cuesj-1638	197	60	6	6	NUM
cuesj-1638	197	61	10	10	NUM
cuesj-1638	197	62	5	5	NUM
cuesj-1638	197	63	.	.	PUNCT
cuesj-1638	197	64	58	58	NUM
cuesj-1638	197	65	13	13	NUM
cuesj-1638	197	66	22	22	NUM
cuesj-1638	197	67	12	12	NUM
cuesj-1638	197	68	89	89	NUM
cuesj-1638	197	69	6	6	NUM
cuesj-1638	197	70	97	97	NUM
cuesj-1638	197	71	5	5	NUM
cuesj-1638	197	72	.	.	PUNCT
cuesj-1638	197	73	72	72	NUM
cuesj-1638	197	74	12	12	NUM
cuesj-1638	197	75	97	97	NUM
cuesj-1638	197	76	8	8	NUM
cuesj-1638	197	77	.	.	PUNCT
cuesj-1638	198	1	62	62	NUM
cuesj-1638	198	2	32	32	NUM
cuesj-1638	198	3	0	0	NUM
cuesj-1638	198	4	.	.	PUNCT
cuesj-1638	199	1	53	53	NUM
cuesj-1638	199	2	57	57	NUM
cuesj-1638	199	3	13	13	NUM
cuesj-1638	199	4	.5	.5	NUM
cuesj-1638	199	5	51	51	NUM
cuesj-1638	199	6	7	7	NUM
cuesj-1638	199	7	10	10	NUM
cuesj-1638	199	8	0	0	NUM
cuesj-1638	199	9	.	.	PUNCT
cuesj-1638	199	10	19	19	NUM
cuesj-1638	199	11	22	22	NUM
cuesj-1638	199	12	12	12	NUM
cuesj-1638	199	13	3	3	NUM
cuesj-1638	199	14	.	.	X
cuesj-1638	199	15	59	59	NUM
cuesj-1638	199	16	75	75	NUM
cuesj-1638	199	17	98	98	NUM
cuesj-1638	199	18	.3	.3	NUM
cuesj-1638	199	19	70	70	NUM
cuesj-1638	199	20	6	6	NUM
cuesj-1638	199	21	10	10	NUM
cuesj-1638	199	22	3	3	NUM
cuesj-1638	199	23	.	.	PUNCT
cuesj-1638	199	24	71	71	NUM
cuesj-1638	199	25	36	36	NUM
cuesj-1638	199	26	23	23	NUM
cuesj-1638	199	27	11	11	NUM
cuesj-1638	199	28	10	10	NUM
cuesj-1638	199	29	00	00	NUM
cuesj-1638	199	30	98	98	NUM
cuesj-1638	199	31	1	1	NUM
cuesj-1638	199	32	.	.	NUM
cuesj-1638	199	33	30	30	NUM
cuesj-1638	199	34	80	80	NUM
cuesj-1638	199	35	98	98	NUM
cuesj-1638	199	36	3	3	NUM
cuesj-1638	199	37	.	.	PUNCT
cuesj-1638	199	38	96	96	NUM
cuesj-1638	199	39	00	00	NUM
cuesj-1638	199	40	0	0	NUM
cuesj-1638	199	41	.	.	PUNCT
cuesj-1638	199	42	54	54	NUM
cuesj-1638	200	1	62	62	NUM
cuesj-1638	200	2	13	13	NUM
cuesj-1638	200	3	.9	.9	NUM
cuesj-1638	200	4	36	36	NUM
cuesj-1638	200	5	0	0	NUM
cuesj-1638	200	6	99	99	NUM
cuesj-1638	200	7	.7	.7	NUM
cuesj-1638	200	8	32	32	NUM
cuesj-1638	200	9	6	6	NUM
cuesj-1638	200	10	12	12	NUM
cuesj-1638	200	11	4	4	NUM
cuesj-1638	200	12	.	.	PUNCT
cuesj-1638	200	13	10	10	NUM
cuesj-1638	200	14	23	23	NUM
cuesj-1638	200	15	92	92	NUM
cuesj-1638	200	16	.8	.8	NUM
cuesj-1638	200	17	35	35	NUM
cuesj-1638	200	18	4	4	NUM
cuesj-1638	200	19	10	10	NUM
cuesj-1638	200	20	4	4	NUM
cuesj-1638	200	21	.	.	NUM
cuesj-1638	200	22	19	19	NUM
cuesj-1638	200	23	44	44	NUM
cuesj-1638	200	24	24	24	NUM
cuesj-1638	200	25	11	11	NUM
cuesj-1638	200	26	96	96	NUM
cuesj-1638	200	27	8	8	NUM
cuesj-1638	200	28	98	98	NUM
cuesj-1638	200	29	8	8	NUM
cuesj-1638	200	30	.	.	PUNCT
cuesj-1638	200	31	32	32	NUM
cuesj-1638	200	32	36	36	NUM
cuesj-1638	200	33	99	99	NUM
cuesj-1638	200	34	0	0	NUM
cuesj-1638	200	35	.	.	PUNCT
cuesj-1638	200	36	00	00	NUM
cuesj-1638	201	1	97	97	NUM
cuesj-1638	201	2	0	0	NUM
cuesj-1638	201	3	.	.	PUNCT
cuesj-1638	202	1	57	57	NUM
cuesj-1638	202	2	32	32	NUM
cuesj-1638	202	3	14	14	NUM
cuesj-1638	202	4	.6	.6	NUM
cuesj-1638	202	5	57	57	NUM
cuesj-1638	202	6	8	8	NUM
cuesj-1638	202	7	99	99	NUM
cuesj-1638	202	8	.1	.1	NUM
cuesj-1638	202	9	91	91	NUM
cuesj-1638	202	10	5	5	NUM
cuesj-1638	202	11	12	12	NUM
cuesj-1638	202	12	3	3	NUM
cuesj-1638	202	13	.	.	NUM
cuesj-1638	202	14	89	89	NUM
cuesj-1638	202	15	75	75	NUM
cuesj-1638	202	16	94	94	NUM
cuesj-1638	202	17	.2	.2	NUM
cuesj-1638	202	18	84	84	NUM
cuesj-1638	202	19	8	8	NUM
cuesj-1638	202	20	10	10	NUM
cuesj-1638	202	21	3	3	NUM
cuesj-1638	202	22	.	.	X
cuesj-1638	202	23	99	99	NUM
cuesj-1638	202	24	62	62	NUM
cuesj-1638	202	25	yahya	yahya	NOUN
cuesj-1638	202	26	and	and	CCONJ
cuesj-1638	202	27	mawlood	mawlood	NOUN
cuesj-1638	202	28	:	:	PUNCT
cuesj-1638	202	29	a	a	DET
cuesj-1638	202	30	hybrid	hybrid	ADJ
cuesj-1638	202	31	fuzzy	fuzzy	ADJ
cuesj-1638	202	32	-	-	PUNCT
cuesj-1638	202	33	kalman	kalman	NOUN
cuesj-1638	202	34	filtering	filtering	NOUN
cuesj-1638	202	35	for	for	ADP
cuesj-1638	202	36	short	short	ADJ
cuesj-1638	202	37	-	-	PUNCT
cuesj-1638	202	38	term	term	NOUN
cuesj-1638	202	39	electricity	electricity	NOUN
cuesj-1638	202	40	load	load	NOUN
cuesj-1638	202	41	122	122	NUM
cuesj-1638	202	42	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1638	202	43	cuesj	cuesj	NOUN
cuesj-1638	202	44	2025	2025	NUM
cuesj-1638	202	45	,	,	PUNCT
cuesj-1638	202	46	9	9	NUM
cuesj-1638	202	47	(	(	PUNCT
cuesj-1638	202	48	2	2	NUM
cuesj-1638	202	49	):	):	PUNCT
cuesj-1638	202	50	117	117	NUM
cuesj-1638	202	51	-	-	SYM
cuesj-1638	202	52	124	124	NUM
cuesj-1638	202	53	system	system	NOUN
cuesj-1638	202	54	along	along	ADP
cuesj-1638	202	55	with	with	ADP
cuesj-1638	202	56	filtering	filter	VERB
cuesj-1638	202	57	out	out	ADP
cuesj-1638	202	58	measurement	measurement	NOUN
cuesj-1638	202	59	noise	noise	NOUN
cuesj-1638	202	60	is	be	AUX
cuesj-1638	202	61	aided	aid	VERB
cuesj-1638	202	62	by	by	ADP
cuesj-1638	202	63	means	mean	NOUN
cuesj-1638	202	64	of	of	ADP
cuesj-1638	202	65	the	the	DET
cuesj-1638	202	66	kf	kf	PROPN
cuesj-1638	202	67	.	.	PUNCT
cuesj-1638	203	1	the	the	DET
cuesj-1638	203	2	consistently	consistently	ADV
cuesj-1638	203	3	lower	low	ADJ
cuesj-1638	203	4	mae	mae	PROPN
cuesj-1638	203	5	and	and	CCONJ
cuesj-1638	203	6	rmse	rmse	ADJ
cuesj-1638	203	7	values	value	NOUN
cuesj-1638	203	8	for	for	ADP
cuesj-1638	203	9	the	the	DET
cuesj-1638	203	10	hybrid	hybrid	ADJ
cuesj-1638	203	11	model	model	NOUN
cuesj-1638	203	12	,	,	PUNCT
cuesj-1638	203	13	as	as	SCONJ
cuesj-1638	203	14	indicated	indicate	VERB
cuesj-1638	203	15	in	in	ADP
cuesj-1638	203	16	table	table	NOUN
cuesj-1638	203	17	2	2	NUM
cuesj-1638	203	18	,	,	PUNCT
cuesj-1638	203	19	clearly	clearly	ADV
cuesj-1638	203	20	demonstrate	demonstrate	VERB
cuesj-1638	203	21	that	that	SCONJ
cuesj-1638	203	22	the	the	DET
cuesj-1638	203	23	integration	integration	NOUN
cuesj-1638	203	24	of	of	ADP
cuesj-1638	203	25	the	the	DET
cuesj-1638	203	26	kf	kf	PROPN
cuesj-1638	203	27	effectively	effectively	ADV
cuesj-1638	203	28	mitigates	mitigate	VERB
cuesj-1638	203	29	forecasting	forecast	VERB
cuesj-1638	203	30	errors	error	NOUN
cuesj-1638	203	31	.	.	PUNCT
cuesj-1638	204	1	this	this	DET
cuesj-1638	204	2	enhancement	enhancement	NOUN
cuesj-1638	204	3	is	be	AUX
cuesj-1638	204	4	particularly	particularly	ADV
cuesj-1638	204	5	evident	evident	ADJ
cuesj-1638	204	6	during	during	ADP
cuesj-1638	204	7	periods	period	NOUN
cuesj-1638	204	8	of	of	ADP
cuesj-1638	204	9	high	high	ADJ
cuesj-1638	204	10	load	load	NOUN
cuesj-1638	204	11	volatility	volatility	NOUN
cuesj-1638	204	12	,	,	PUNCT
cuesj-1638	204	13	illustrating	illustrate	VERB
cuesj-1638	204	14	the	the	DET
cuesj-1638	204	15	filter	filter	NOUN
cuesj-1638	204	16	’s	’s	PART
cuesj-1638	204	17	ability	ability	NOUN
cuesj-1638	204	18	to	to	PART
cuesj-1638	204	19	refine	refine	VERB
cuesj-1638	204	20	the	the	DET
cuesj-1638	204	21	noisy	noisy	ADJ
cuesj-1638	204	22	predictions	prediction	NOUN
cuesj-1638	204	23	generated	generate	VERB
cuesj-1638	204	24	by	by	ADP
cuesj-1638	204	25	the	the	DET
cuesj-1638	204	26	fuzzy	fuzzy	ADJ
cuesj-1638	204	27	logic	logic	NOUN
cuesj-1638	204	28	component	component	NOUN
cuesj-1638	204	29	.	.	PUNCT
cuesj-1638	205	1	by	by	ADP
cuesj-1638	205	2	examining	examine	VERB
cuesj-1638	205	3	the	the	DET
cuesj-1638	205	4	24	24	NUM
cuesj-1638	205	5	-	-	PUNCT
cuesj-1638	205	6	h	h	NOUN
cuesj-1638	205	7	load	load	NOUN
cuesj-1638	205	8	profile	profile	NOUN
cuesj-1638	205	9	,	,	PUNCT
cuesj-1638	205	10	it	it	PRON
cuesj-1638	205	11	is	be	AUX
cuesj-1638	205	12	evident	evident	ADJ
cuesj-1638	205	13	that	that	SCONJ
cuesj-1638	205	14	clear	clear	ADJ
cuesj-1638	205	15	patterns	pattern	NOUN
cuesj-1638	205	16	exist	exist	VERB
cuesj-1638	205	17	in	in	ADP
cuesj-1638	205	18	both	both	CCONJ
cuesj-1638	205	19	fuzzy	fuzzy	ADJ
cuesj-1638	205	20	outputs	output	NOUN
cuesj-1638	205	21	and	and	CCONJ
cuesj-1638	205	22	kalmanfiltered	kalmanfiltere	VERB
cuesj-1638	205	23	estimates	estimate	NOUN
cuesj-1638	205	24	when	when	SCONJ
cuesj-1638	205	25	compared	compare	VERB
cuesj-1638	205	26	to	to	ADP
cuesj-1638	205	27	the	the	DET
cuesj-1638	205	28	actual	actual	ADJ
cuesj-1638	205	29	load	load	NOUN
cuesj-1638	205	30	.	.	PUNCT
cuesj-1638	206	1	higher	high	ADJ
cuesj-1638	206	2	fuzzy	fuzzy	ADJ
cuesj-1638	206	3	outputs	output	NOUN
cuesj-1638	206	4	than	than	SCONJ
cuesj-1638	206	5	the	the	DET
cuesj-1638	206	6	actual	actual	ADJ
cuesj-1638	206	7	load	load	NOUN
cuesj-1638	206	8	are	be	AUX
cuesj-1638	206	9	observed	observe	VERB
cuesj-1638	206	10	during	during	ADP
cuesj-1638	206	11	the	the	DET
cuesj-1638	206	12	early	early	ADJ
cuesj-1638	206	13	morning	morning	NOUN
cuesj-1638	206	14	period	period	NOUN
cuesj-1638	206	15	,	,	PUNCT
cuesj-1638	206	16	hours	hour	NOUN
cuesj-1638	206	17	1–6	1–6	NUM
cuesj-1638	206	18	,	,	PUNCT
cuesj-1638	206	19	which	which	PRON
cuesj-1638	206	20	is	be	AUX
cuesj-1638	206	21	probably	probably	ADV
cuesj-1638	206	22	due	due	ADJ
cuesj-1638	206	23	to	to	ADP
cuesj-1638	206	24	temperature	temperature	NOUN
cuesj-1638	206	25	-	-	PUNCT
cuesj-1638	206	26	based	base	VERB
cuesj-1638	206	27	changes	change	NOUN
cuesj-1638	206	28	in	in	ADP
cuesj-1638	206	29	the	the	DET
cuesj-1638	206	30	fuzzy	fuzzy	ADJ
cuesj-1638	206	31	model	model	NOUN
cuesj-1638	206	32	.	.	PUNCT
cuesj-1638	207	1	despite	despite	SCONJ
cuesj-1638	207	2	being	be	AUX
cuesj-1638	207	3	somewhat	somewhat	ADV
cuesj-1638	207	4	biased	biased	ADJ
cuesj-1638	207	5	towards	towards	ADP
cuesj-1638	207	6	smoothing	smooth	VERB
cuesj-1638	207	7	short	short	ADJ
cuesj-1638	207	8	-	-	PUNCT
cuesj-1638	207	9	term	term	NOUN
cuesj-1638	207	10	fluctuations	fluctuation	NOUN
cuesj-1638	207	11	,	,	PUNCT
cuesj-1638	207	12	the	the	DET
cuesj-1638	207	13	hybrid	hybrid	ADJ
cuesj-1638	207	14	fuzzy	fuzzy	ADJ
cuesj-1638	207	15	-	-	PUNCT
cuesj-1638	207	16	kf	kf	PROPN
cuesj-1638	207	17	estimates	estimate	NOUN
cuesj-1638	207	18	do	do	AUX
cuesj-1638	207	19	not	not	PART
cuesj-1638	207	20	address	address	VERB
cuesj-1638	207	21	the	the	DET
cuesj-1638	207	22	systematic	systematic	ADJ
cuesj-1638	207	23	overestimation	overestimation	NOUN
cuesj-1638	207	24	of	of	ADP
cuesj-1638	207	25	outputs	output	NOUN
cuesj-1638	207	26	.	.	PUNCT
cuesj-1638	208	1	the	the	DET
cuesj-1638	208	2	temperature	temperature	NOUN
cuesj-1638	208	3	effect	effect	NOUN
cuesj-1638	208	4	in	in	ADP
cuesj-1638	208	5	the	the	DET
cuesj-1638	208	6	fuzzy	fuzzy	ADJ
cuesj-1638	208	7	model	model	NOUN
cuesj-1638	208	8	is	be	AUX
cuesj-1638	208	9	reflected	reflect	VERB
cuesj-1638	208	10	in	in	ADP
cuesj-1638	208	11	both	both	CCONJ
cuesj-1638	208	12	the	the	DET
cuesj-1638	208	13	moderate	moderate	ADJ
cuesj-1638	208	14	differences	difference	NOUN
cuesj-1638	208	15	between	between	ADP
cuesj-1638	208	16	the	the	DET
cuesj-1638	208	17	noon	noon	NOUN
cuesj-1638	208	18	period	period	NOUN
cuesj-1638	208	19	,	,	PUNCT
cuesj-1638	208	20	hours	hour	NOUN
cuesj-1638	208	21	7–14	7–14	PROPN
cuesj-1638	208	22	,	,	PUNCT
cuesj-1638	208	23	as	as	ADV
cuesj-1638	208	24	well	well	ADV
cuesj-1638	208	25	as	as	ADP
cuesj-1638	208	26	their	their	PRON
cuesj-1638	208	27	fuzzy	fuzzy	ADJ
cuesj-1638	208	28	outputs	output	NOUN
cuesj-1638	208	29	and	and	CCONJ
cuesj-1638	208	30	kalman	kalman	NOUN
cuesj-1638	208	31	estimates	estimate	NOUN
cuesj-1638	208	32	,	,	PUNCT
cuesj-1638	208	33	which	which	PRON
cuesj-1638	208	34	remain	remain	VERB
cuesj-1638	208	35	slightly	slightly	ADV
cuesj-1638	208	36	below	below	ADP
cuesj-1638	208	37	or	or	CCONJ
cuesj-1638	208	38	above	above	ADP
cuesj-1638	208	39	the	the	DET
cuesj-1638	208	40	actual	actual	ADJ
cuesj-1638	208	41	load	load	NOUN
cuesj-1638	208	42	.	.	PUNCT
cuesj-1638	209	1	hours	hour	NOUN
cuesj-1638	209	2	15–24	15–24	NUM
cuesj-1638	209	3	exhibit	exhibit	VERB
cuesj-1638	209	4	comparable	comparable	ADJ
cuesj-1638	209	5	behavior	behavior	NOUN
cuesj-1638	209	6	,	,	PUNCT
cuesj-1638	209	7	with	with	ADP
cuesj-1638	209	8	the	the	DET
cuesj-1638	209	9	highest	high	ADJ
cuesj-1638	209	10	residuals	residual	NOUN
cuesj-1638	209	11	occurring	occur	VERB
cuesj-1638	209	12	in	in	ADP
cuesj-1638	209	13	hours	hour	NOUN
cuesj-1638	209	14	22–24	22–24	NUM
cuesj-1638	209	15	.	.	PUNCT
cuesj-1638	210	1	the	the	DET
cuesj-1638	210	2	kf	kf	PROPN
cuesj-1638	210	3	somewhat	somewhat	ADV
cuesj-1638	210	4	reduced	reduce	VERB
cuesj-1638	210	5	fluctuations	fluctuation	NOUN
cuesj-1638	210	6	but	but	CCONJ
cuesj-1638	210	7	still	still	ADV
cuesj-1638	210	8	tracks	track	VERB
cuesj-1638	210	9	the	the	DET
cuesj-1638	210	10	ambiguous	ambiguous	ADJ
cuesj-1638	210	11	outputs	output	NOUN
cuesj-1638	210	12	.	.	PUNCT
cuesj-1638	211	1	this	this	PRON
cuesj-1638	211	2	is	be	AUX
cuesj-1638	211	3	also	also	ADV
cuesj-1638	211	4	true	true	ADJ
cuesj-1638	211	5	for	for	ADP
cuesj-1638	211	6	the	the	DET
cuesj-1638	211	7	evening	evening	NOUN
cuesj-1638	211	8	period	period	NOUN
cuesj-1638	211	9	,	,	PUNCT
cuesj-1638	211	10	hours	hour	NOUN
cuesj-1638	211	11	15–24	15–24	NUM
cuesj-1638	211	12	.	.	PUNCT
cuesj-1638	212	1	the	the	DET
cuesj-1638	212	2	kf	kf	PROPN
cuesj-1638	212	3	maintains	maintain	VERB
cuesj-1638	212	4	temporal	temporal	ADJ
cuesj-1638	212	5	consistency	consistency	NOUN
cuesj-1638	212	6	and	and	CCONJ
cuesj-1638	212	7	reduces	reduce	VERB
cuesj-1638	212	8	noise	noise	NOUN
cuesj-1638	212	9	,	,	PUNCT
cuesj-1638	212	10	whereas	whereas	SCONJ
cuesj-1638	212	11	it	it	PRON
cuesj-1638	212	12	fails	fail	VERB
cuesj-1638	212	13	to	to	PART
cuesj-1638	212	14	significantly	significantly	ADV
cuesj-1638	212	15	enhance	enhance	VERB
cuesj-1638	212	16	alignment	alignment	NOUN
cuesj-1638	212	17	with	with	ADP
cuesj-1638	212	18	the	the	DET
cuesj-1638	212	19	actual	actual	ADJ
cuesj-1638	212	20	load	load	NOUN
cuesj-1638	212	21	.	.	PUNCT
cuesj-1638	213	1	despite	despite	SCONJ
cuesj-1638	213	2	the	the	DET
cuesj-1638	213	3	filter	filter	NOUN
cuesj-1638	213	4	’s	’s	PART
cuesj-1638	213	5	improved	improved	ADJ
cuesj-1638	213	6	stability	stability	NOUN
cuesj-1638	213	7	,	,	PUNCT
cuesj-1638	213	8	predictive	predictive	ADJ
cuesj-1638	213	9	accuracy	accuracy	NOUN
cuesj-1638	213	10	is	be	AUX
cuesj-1638	213	11	primarily	primarily	ADV
cuesj-1638	213	12	determined	determine	VERB
cuesj-1638	213	13	by	by	ADP
cuesj-1638	213	14	the	the	DET
cuesj-1638	213	15	quality	quality	NOUN
cuesj-1638	213	16	of	of	ADP
cuesj-1638	213	17	the	the	DET
cuesj-1638	213	18	fuzzy	fuzzy	ADJ
cuesj-1638	213	19	model	model	NOUN
cuesj-1638	213	20	itself	itself	PRON
cuesj-1638	213	21	,	,	PUNCT
cuesj-1638	213	22	as	as	SCONJ
cuesj-1638	213	23	demonstrated	demonstrate	VERB
cuesj-1638	213	24	in	in	ADP
cuesj-1638	213	25	this	this	DET
cuesj-1638	213	26	trend	trend	NOUN
cuesj-1638	213	27	analysis	analysis	NOUN
cuesj-1638	213	28	as	as	SCONJ
cuesj-1638	213	29	shown	show	VERB
cuesj-1638	213	30	in	in	ADP
cuesj-1638	213	31	figures	figure	NOUN
cuesj-1638	213	32	2	2	NUM
cuesj-1638	213	33	and	and	CCONJ
cuesj-1638	213	34	3	3	NUM
cuesj-1638	213	35	.	.	X
cuesj-1638	213	36	conclusion	conclusion	NOUN
cuesj-1638	213	37	for	for	ADP
cuesj-1638	213	38	a	a	DET
cuesj-1638	213	39	region	region	NOUN
cuesj-1638	213	40	facing	face	VERB
cuesj-1638	213	41	electricity	electricity	NOUN
cuesj-1638	213	42	supply	supply	NOUN
cuesj-1638	213	43	instability	instability	NOUN
cuesj-1638	213	44	and	and	CCONJ
cuesj-1638	213	45	rapid	rapid	ADJ
cuesj-1638	213	46	demand	demand	NOUN
cuesj-1638	213	47	growth	growth	NOUN
cuesj-1638	213	48	,	,	PUNCT
cuesj-1638	213	49	such	such	ADJ
cuesj-1638	213	50	as	as	ADP
cuesj-1638	213	51	kurdistan	kurdistan	PROPN
cuesj-1638	213	52	,	,	PUNCT
cuesj-1638	213	53	the	the	DET
cuesj-1638	213	54	improved	improved	ADJ
cuesj-1638	213	55	accuracy	accuracy	NOUN
cuesj-1638	213	56	provided	provide	VERB
cuesj-1638	213	57	by	by	ADP
cuesj-1638	213	58	the	the	DET
cuesj-1638	213	59	hybrid	hybrid	ADJ
cuesj-1638	213	60	fuzzy	fuzzy	ADJ
cuesj-1638	213	61	-	-	PUNCT
cuesj-1638	213	62	kf	kf	PROPN
cuesj-1638	213	63	offers	offer	VERB
cuesj-1638	213	64	a	a	DET
cuesj-1638	213	65	more	more	ADV
cuesj-1638	213	66	dependable	dependable	ADJ
cuesj-1638	213	67	tool	tool	NOUN
cuesj-1638	213	68	for	for	ADP
cuesj-1638	213	69	grid	grid	NOUN
cuesj-1638	213	70	management	management	NOUN
cuesj-1638	213	71	and	and	CCONJ
cuesj-1638	213	72	operational	operational	ADJ
cuesj-1638	213	73	planning	planning	NOUN
cuesj-1638	213	74	.	.	PUNCT
cuesj-1638	214	1	the	the	DET
cuesj-1638	214	2	findings	finding	NOUN
cuesj-1638	214	3	showed	show	VERB
cuesj-1638	214	4	that	that	SCONJ
cuesj-1638	214	5	while	while	SCONJ
cuesj-1638	214	6	the	the	DET
cuesj-1638	214	7	fuzzy	fuzzy	ADJ
cuesj-1638	214	8	logic	logic	NOUN
cuesj-1638	214	9	model	model	NOUN
cuesj-1638	214	10	captured	capture	VERB
cuesj-1638	214	11	the	the	DET
cuesj-1638	214	12	non	non	ADJ
cuesj-1638	214	13	-	-	ADJ
cuesj-1638	214	14	linear	linear	ADJ
cuesj-1638	214	15	relationship	relationship	NOUN
cuesj-1638	214	16	between	between	ADP
cuesj-1638	214	17	temperature	temperature	NOUN
cuesj-1638	214	18	and	and	CCONJ
cuesj-1638	214	19	electricity	electricity	NOUN
cuesj-1638	214	20	demand	demand	NOUN
cuesj-1638	214	21	,	,	PUNCT
cuesj-1638	214	22	it	it	PRON
cuesj-1638	214	23	was	be	AUX
cuesj-1638	214	24	also	also	ADV
cuesj-1638	214	25	prone	prone	ADJ
cuesj-1638	214	26	to	to	ADP
cuesj-1638	214	27	noise	noise	NOUN
cuesj-1638	214	28	and	and	CCONJ
cuesj-1638	214	29	uncertainty	uncertainty	NOUN
cuesj-1638	214	30	.	.	PUNCT
cuesj-1638	215	1	the	the	DET
cuesj-1638	215	2	addition	addition	NOUN
cuesj-1638	215	3	of	of	ADP
cuesj-1638	215	4	the	the	DET
cuesj-1638	215	5	kf	kf	PROPN
cuesj-1638	215	6	significantly	significantly	ADV
cuesj-1638	215	7	improved	improve	VERB
cuesj-1638	215	8	forecasting	forecasting	NOUN
cuesj-1638	215	9	figure	figure	NOUN
cuesj-1638	215	10	2	2	NUM
cuesj-1638	215	11	:	:	PUNCT
cuesj-1638	215	12	hourly	hourly	ADJ
cuesj-1638	215	13	electricity	electricity	NOUN
cuesj-1638	215	14	load	load	NOUN
cuesj-1638	215	15	forecasting	forecasting	NOUN
cuesj-1638	215	16	using	use	VERB
cuesj-1638	215	17	fuzzy	fuzzy	ADJ
cuesj-1638	215	18	logic	logic	NOUN
cuesj-1638	215	19	and	and	CCONJ
cuesj-1638	215	20	hybrid	hybrid	ADJ
cuesj-1638	215	21	fuzzy	fuzzy	ADJ
cuesj-1638	215	22	-	-	PUNCT
cuesj-1638	215	23	kalman	kalman	NOUN
cuesj-1638	215	24	filter	filter	NOUN
cuesj-1638	215	25	models	model	NOUN
cuesj-1638	215	26	figure	figure	VERB
cuesj-1638	215	27	3	3	NUM
cuesj-1638	215	28	:	:	PUNCT
cuesj-1638	215	29	error	error	NOUN
cuesj-1638	215	30	analysis	analysis	NOUN
cuesj-1638	215	31	and	and	CCONJ
cuesj-1638	215	32	forecast	forecast	VERB
cuesj-1638	215	33	comparison	comparison	NOUN
cuesj-1638	215	34	of	of	ADP
cuesj-1638	215	35	24	24	NUM
cuesj-1638	215	36	-	-	PUNCT
cuesj-1638	215	37	h	h	NOUN
cuesj-1638	215	38	electricity	electricity	NOUN
cuesj-1638	215	39	load	load	NOUN
cuesj-1638	215	40	using	use	VERB
cuesj-1638	215	41	fuzzy	fuzzy	ADJ
cuesj-1638	215	42	logic	logic	NOUN
cuesj-1638	215	43	and	and	CCONJ
cuesj-1638	215	44	hybrid	hybrid	ADJ
cuesj-1638	215	45	fuzzy	fuzzy	ADJ
cuesj-1638	215	46	-	-	PUNCT
cuesj-1638	215	47	kalman	kalman	NOUN
cuesj-1638	215	48	filter	filter	NOUN
cuesj-1638	215	49	yahya	yahya	PROPN
cuesj-1638	215	50	and	and	CCONJ
cuesj-1638	215	51	mawlood	mawlood	NOUN
cuesj-1638	215	52	:	:	PUNCT
cuesj-1638	215	53	a	a	DET
cuesj-1638	215	54	hybrid	hybrid	ADJ
cuesj-1638	215	55	fuzzy	fuzzy	ADJ
cuesj-1638	215	56	-	-	PUNCT
cuesj-1638	215	57	kalman	kalman	NOUN
cuesj-1638	215	58	filtering	filtering	NOUN
cuesj-1638	215	59	for	for	ADP
cuesj-1638	215	60	short	short	ADJ
cuesj-1638	215	61	-	-	PUNCT
cuesj-1638	215	62	term	term	NOUN
cuesj-1638	215	63	electricity	electricity	NOUN
cuesj-1638	215	64	load	load	NOUN
cuesj-1638	215	65	123	123	NUM
cuesj-1638	215	66	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1638	215	67	cuesj	cuesj	NOUN
cuesj-1638	215	68	2025	2025	NUM
cuesj-1638	215	69	,	,	PUNCT
cuesj-1638	215	70	9	9	NUM
cuesj-1638	215	71	(	(	PUNCT
cuesj-1638	215	72	2	2	NUM
cuesj-1638	215	73	):	):	PUNCT
cuesj-1638	215	74	117	117	NUM
cuesj-1638	215	75	-	-	SYM
cuesj-1638	215	76	124	124	NUM
cuesj-1638	215	77	accuracy	accuracy	NOUN
cuesj-1638	215	78	by	by	ADP
cuesj-1638	215	79	reducing	reduce	VERB
cuesj-1638	215	80	estimation	estimation	NOUN
cuesj-1638	215	81	errors	error	NOUN
cuesj-1638	215	82	and	and	CCONJ
cuesj-1638	215	83	smoothing	smooth	VERB
cuesj-1638	215	84	shortterm	shortterm	NOUN
cuesj-1638	215	85	fluctuations	fluctuation	NOUN
cuesj-1638	215	86	,	,	PUNCT
cuesj-1638	215	87	as	as	SCONJ
cuesj-1638	215	88	evidenced	evidence	VERB
cuesj-1638	215	89	by	by	ADP
cuesj-1638	215	90	a	a	DET
cuesj-1638	215	91	consistent	consistent	ADJ
cuesj-1638	215	92	decrease	decrease	NOUN
cuesj-1638	215	93	in	in	ADP
cuesj-1638	215	94	the	the	DET
cuesj-1638	215	95	rmse	rmse	NOUN
cuesj-1638	215	96	over	over	ADP
cuesj-1638	215	97	the	the	DET
cuesj-1638	215	98	24	24	NUM
cuesj-1638	215	99	-	-	PUNCT
cuesj-1638	215	100	h	h	NOUN
cuesj-1638	215	101	forecast	forecast	NOUN
cuesj-1638	215	102	period	period	NOUN
cuesj-1638	215	103	.	.	PUNCT
cuesj-1638	216	1	however	however	ADV
cuesj-1638	216	2	,	,	PUNCT
cuesj-1638	216	3	the	the	DET
cuesj-1638	216	4	performance	performance	NOUN
cuesj-1638	216	5	of	of	ADP
cuesj-1638	216	6	the	the	DET
cuesj-1638	216	7	hybrid	hybrid	ADJ
cuesj-1638	216	8	model	model	NOUN
cuesj-1638	216	9	still	still	ADV
cuesj-1638	216	10	relied	rely	VERB
cuesj-1638	216	11	heavily	heavily	ADV
cuesj-1638	216	12	on	on	ADP
cuesj-1638	216	13	the	the	DET
cuesj-1638	216	14	initial	initial	ADJ
cuesj-1638	216	15	fuzzy	fuzzy	ADJ
cuesj-1638	216	16	estimate	estimate	NOUN
cuesj-1638	216	17	,	,	PUNCT
cuesj-1638	216	18	and	and	CCONJ
cuesj-1638	216	19	the	the	DET
cuesj-1638	216	20	kf	kf	PROPN
cuesj-1638	216	21	did	do	AUX
cuesj-1638	216	22	not	not	PART
cuesj-1638	216	23	address	address	VERB
cuesj-1638	216	24	systematic	systematic	ADJ
cuesj-1638	216	25	overestimation	overestimation	NOUN
cuesj-1638	216	26	biases	bias	NOUN
cuesj-1638	216	27	found	find	VERB
cuesj-1638	216	28	in	in	ADP
cuesj-1638	216	29	the	the	DET
cuesj-1638	216	30	fuzzy	fuzzy	ADJ
cuesj-1638	216	31	model	model	NOUN
cuesj-1638	216	32	’s	’s	PART
cuesj-1638	216	33	output	output	NOUN
cuesj-1638	216	34	.	.	PUNCT
cuesj-1638	217	1	this	this	DET
cuesj-1638	217	2	research	research	NOUN
cuesj-1638	217	3	validates	validate	VERB
cuesj-1638	217	4	the	the	DET
cuesj-1638	217	5	effectiveness	effectiveness	NOUN
cuesj-1638	217	6	of	of	ADP
cuesj-1638	217	7	the	the	DET
cuesj-1638	217	8	hybrid	hybrid	NOUN
cuesj-1638	217	9	model	model	NOUN
cuesj-1638	217	10	;	;	PUNCT
cuesj-1638	217	11	however	however	ADV
cuesj-1638	217	12	,	,	PUNCT
cuesj-1638	217	13	its	its	PRON
cuesj-1638	217	14	reliance	reliance	NOUN
cuesj-1638	217	15	on	on	ADP
cuesj-1638	217	16	the	the	DET
cuesj-1638	217	17	initial	initial	ADJ
cuesj-1638	217	18	fuzzy	fuzzy	ADJ
cuesj-1638	217	19	estimate	estimate	NOUN
cuesj-1638	217	20	suggests	suggest	VERB
cuesj-1638	217	21	that	that	SCONJ
cuesj-1638	217	22	future	future	ADJ
cuesj-1638	217	23	efforts	effort	NOUN
cuesj-1638	217	24	should	should	AUX
cuesj-1638	217	25	focus	focus	VERB
cuesj-1638	217	26	on	on	ADP
cuesj-1638	217	27	refining	refine	VERB
cuesj-1638	217	28	the	the	DET
cuesj-1638	217	29	core	core	ADJ
cuesj-1638	217	30	fuzzy	fuzzy	ADJ
cuesj-1638	217	31	logic	logic	NOUN
cuesj-1638	217	32	component	component	NOUN
cuesj-1638	217	33	.	.	PUNCT
cuesj-1638	218	1	potential	potential	ADJ
cuesj-1638	218	2	enhancements	enhancement	NOUN
cuesj-1638	218	3	include	include	VERB
cuesj-1638	218	4	the	the	DET
cuesj-1638	218	5	integration	integration	NOUN
cuesj-1638	218	6	of	of	ADP
cuesj-1638	218	7	additional	additional	ADJ
cuesj-1638	218	8	external	external	ADJ
cuesj-1638	218	9	variables	variable	NOUN
cuesj-1638	218	10	and	and	CCONJ
cuesj-1638	218	11	the	the	DET
cuesj-1638	218	12	optimization	optimization	NOUN
cuesj-1638	218	13	of	of	ADP
cuesj-1638	218	14	fuzzy	fuzzy	ADJ
cuesj-1638	218	15	membership	membership	NOUN
cuesj-1638	218	16	functions	function	NOUN
cuesj-1638	218	17	,	,	PUNCT
cuesj-1638	218	18	aiming	aim	VERB
cuesj-1638	218	19	to	to	PART
cuesj-1638	218	20	improve	improve	VERB
cuesj-1638	218	21	forecasting	forecasting	NOUN
cuesj-1638	218	22	accuracy	accuracy	NOUN
cuesj-1638	218	23	further	far	ADV
cuesj-1638	218	24	and	and	CCONJ
cuesj-1638	218	25	mitigate	mitigate	VERB
cuesj-1638	218	26	the	the	DET
cuesj-1638	218	27	systematic	systematic	ADJ
cuesj-1638	218	28	overestimation	overestimation	NOUN
cuesj-1638	218	29	biases	bias	NOUN
cuesj-1638	218	30	observed	observe	VERB
cuesj-1638	218	31	in	in	ADP
cuesj-1638	218	32	the	the	DET
cuesj-1638	218	33	current	current	ADJ
cuesj-1638	218	34	model	model	NOUN
cuesj-1638	218	35	.	.	PUNCT
cuesj-1638	219	1	in	in	ADP
cuesj-1638	219	2	conclusion	conclusion	NOUN
cuesj-1638	219	3	,	,	PUNCT
cuesj-1638	219	4	this	this	DET
cuesj-1638	219	5	research	research	NOUN
cuesj-1638	219	6	validates	validate	VERB
cuesj-1638	219	7	the	the	DET
cuesj-1638	219	8	hybrid	hybrid	ADJ
cuesj-1638	219	9	fuzzy	fuzzy	ADJ
cuesj-1638	219	10	-	-	PUNCT
cuesj-1638	219	11	kf	kf	PROPN
cuesj-1638	219	12	as	as	ADP
cuesj-1638	219	13	an	an	DET
cuesj-1638	219	14	effective	effective	ADJ
cuesj-1638	219	15	method	method	NOUN
cuesj-1638	219	16	for	for	ADP
cuesj-1638	219	17	stlf	stlf	NOUN
cuesj-1638	219	18	in	in	ADP
cuesj-1638	219	19	the	the	DET
cuesj-1638	219	20	kurdistan	kurdistan	PROPN
cuesj-1638	219	21	-	-	PUNCT
cuesj-1638	219	22	iraq	iraq	PROPN
cuesj-1638	219	23	electricity	electricity	NOUN
cuesj-1638	219	24	system	system	NOUN
cuesj-1638	219	25	,	,	PUNCT
cuesj-1638	219	26	providing	provide	VERB
cuesj-1638	219	27	a	a	DET
cuesj-1638	219	28	practical	practical	ADJ
cuesj-1638	219	29	solution	solution	NOUN
cuesj-1638	219	30	for	for	ADP
cuesj-1638	219	31	better	well	ADJ
cuesj-1638	219	32	power	power	NOUN
cuesj-1638	219	33	grid	grid	NOUN
cuesj-1638	219	34	management	management	NOUN
cuesj-1638	219	35	and	and	CCONJ
cuesj-1638	219	36	operational	operational	ADJ
cuesj-1638	219	37	planning	planning	NOUN
cuesj-1638	219	38	.	.	PUNCT
cuesj-1638	220	1	limitations	limitation	NOUN
cuesj-1638	220	2	and	and	CCONJ
cuesj-1638	220	3	recommendations	recommendation	NOUN
cuesj-1638	220	4	this	this	DET
cuesj-1638	220	5	study	study	NOUN
cuesj-1638	220	6	has	have	VERB
cuesj-1638	220	7	several	several	ADJ
cuesj-1638	220	8	limitations	limitation	NOUN
cuesj-1638	220	9	that	that	PRON
cuesj-1638	220	10	should	should	AUX
cuesj-1638	220	11	be	be	AUX
cuesj-1638	220	12	acknowledged	acknowledge	VERB
cuesj-1638	220	13	.	.	PUNCT
cuesj-1638	221	1	first	first	ADV
cuesj-1638	221	2	,	,	PUNCT
cuesj-1638	221	3	the	the	DET
cuesj-1638	221	4	application	application	NOUN
cuesj-1638	221	5	of	of	ADP
cuesj-1638	221	6	the	the	DET
cuesj-1638	221	7	kf	kf	PROPN
cuesj-1638	221	8	was	be	AUX
cuesj-1638	221	9	based	base	VERB
cuesj-1638	221	10	on	on	ADP
cuesj-1638	221	11	fuzzy	fuzzy	ADJ
cuesj-1638	221	12	model	model	NOUN
cuesj-1638	221	13	outputs	output	NOUN
cuesj-1638	221	14	derived	derive	VERB
cuesj-1638	221	15	from	from	ADP
cuesj-1638	221	16	actual	actual	ADJ
cuesj-1638	221	17	load	load	NOUN
cuesj-1638	221	18	data	datum	NOUN
cuesj-1638	221	19	,	,	PUNCT
cuesj-1638	221	20	which	which	PRON
cuesj-1638	221	21	limits	limit	VERB
cuesj-1638	221	22	the	the	DET
cuesj-1638	221	23	filter	filter	NOUN
cuesj-1638	221	24	’s	’s	PART
cuesj-1638	221	25	potential	potential	NOUN
cuesj-1638	221	26	to	to	PART
cuesj-1638	221	27	substantially	substantially	ADV
cuesj-1638	221	28	enhance	enhance	VERB
cuesj-1638	221	29	prediction	prediction	NOUN
cuesj-1638	221	30	accuracy	accuracy	NOUN
cuesj-1638	221	31	,	,	PUNCT
cuesj-1638	221	32	as	as	SCONJ
cuesj-1638	221	33	the	the	DET
cuesj-1638	221	34	observation	observation	NOUN
cuesj-1638	221	35	model	model	NOUN
cuesj-1638	221	36	is	be	AUX
cuesj-1638	221	37	already	already	ADV
cuesj-1638	221	38	closely	closely	ADV
cuesj-1638	221	39	aligned	align	VERB
cuesj-1638	221	40	with	with	ADP
cuesj-1638	221	41	the	the	DET
cuesj-1638	221	42	target	target	NOUN
cuesj-1638	221	43	values	value	NOUN
cuesj-1638	221	44	.	.	PUNCT
cuesj-1638	222	1	second	second	ADJ
cuesj-1638	222	2	,	,	PUNCT
cuesj-1638	222	3	the	the	DET
cuesj-1638	222	4	current	current	ADJ
cuesj-1638	222	5	framework	framework	NOUN
cuesj-1638	222	6	does	do	AUX
cuesj-1638	222	7	not	not	PART
cuesj-1638	222	8	incorporate	incorporate	VERB
cuesj-1638	222	9	exogenous	exogenous	ADJ
cuesj-1638	222	10	variables	variable	NOUN
cuesj-1638	222	11	such	such	ADJ
cuesj-1638	222	12	as	as	ADP
cuesj-1638	222	13	weather	weather	NOUN
cuesj-1638	222	14	,	,	PUNCT
cuesj-1638	222	15	seasonal	seasonal	ADJ
cuesj-1638	222	16	effects	effect	NOUN
cuesj-1638	222	17	,	,	PUNCT
cuesj-1638	222	18	or	or	CCONJ
cuesj-1638	222	19	socioeconomic	socioeconomic	ADJ
cuesj-1638	222	20	indicators	indicator	NOUN
cuesj-1638	222	21	that	that	PRON
cuesj-1638	222	22	are	be	AUX
cuesj-1638	222	23	known	know	VERB
cuesj-1638	222	24	to	to	PART
cuesj-1638	222	25	influence	influence	VERB
cuesj-1638	222	26	electricity	electricity	NOUN
cuesj-1638	222	27	demand	demand	NOUN
cuesj-1638	222	28	.	.	PUNCT
cuesj-1638	223	1	finally	finally	ADV
cuesj-1638	223	2	,	,	PUNCT
cuesj-1638	223	3	the	the	DET
cuesj-1638	223	4	model	model	NOUN
cuesj-1638	223	5	assumes	assume	VERB
cuesj-1638	223	6	relatively	relatively	ADV
cuesj-1638	223	7	simple	simple	ADJ
cuesj-1638	223	8	noise	noise	NOUN
cuesj-1638	223	9	structures	structure	NOUN
cuesj-1638	223	10	,	,	PUNCT
cuesj-1638	223	11	which	which	PRON
cuesj-1638	223	12	may	may	AUX
cuesj-1638	223	13	not	not	PART
cuesj-1638	223	14	fully	fully	ADV
cuesj-1638	223	15	capture	capture	VERB
cuesj-1638	223	16	the	the	DET
cuesj-1638	223	17	complex	complex	ADJ
cuesj-1638	223	18	stochastic	stochastic	ADJ
cuesj-1638	223	19	behavior	behavior	NOUN
cuesj-1638	223	20	inherent	inherent	ADJ
cuesj-1638	223	21	in	in	ADP
cuesj-1638	223	22	real	real	ADJ
cuesj-1638	223	23	-	-	PUNCT
cuesj-1638	223	24	world	world	NOUN
cuesj-1638	223	25	load	load	NOUN
cuesj-1638	223	26	patterns	pattern	NOUN
cuesj-1638	223	27	.	.	PUNCT
cuesj-1638	224	1	for	for	ADP
cuesj-1638	224	2	future	future	ADJ
cuesj-1638	224	3	research	research	NOUN
cuesj-1638	224	4	,	,	PUNCT
cuesj-1638	224	5	it	it	PRON
cuesj-1638	224	6	is	be	AUX
cuesj-1638	224	7	recommended	recommend	VERB
cuesj-1638	224	8	to	to	PART
cuesj-1638	224	9	extend	extend	VERB
cuesj-1638	224	10	the	the	DET
cuesj-1638	224	11	model	model	NOUN
cuesj-1638	224	12	by	by	ADP
cuesj-1638	224	13	integrating	integrate	VERB
cuesj-1638	224	14	exogenous	exogenous	ADJ
cuesj-1638	224	15	predictors	predictor	NOUN
cuesj-1638	224	16	to	to	PART
cuesj-1638	224	17	improve	improve	VERB
cuesj-1638	224	18	robustness	robustness	NOUN
cuesj-1638	224	19	,	,	PUNCT
cuesj-1638	224	20	exploring	explore	VERB
cuesj-1638	224	21	alternative	alternative	ADJ
cuesj-1638	224	22	state	state	NOUN
cuesj-1638	224	23	-	-	PUNCT
cuesj-1638	224	24	space	space	NOUN
cuesj-1638	224	25	formulations	formulation	NOUN
cuesj-1638	224	26	,	,	PUNCT
cuesj-1638	224	27	and	and	CCONJ
cuesj-1638	224	28	considering	consider	VERB
cuesj-1638	224	29	adaptive	adaptive	ADJ
cuesj-1638	224	30	or	or	CCONJ
cuesj-1638	224	31	hybrid	hybrid	ADJ
cuesj-1638	224	32	filtering	filtering	NOUN
cuesj-1638	224	33	approaches	approach	NOUN
cuesj-1638	224	34	such	such	ADJ
cuesj-1638	224	35	as	as	ADP
cuesj-1638	224	36	advanced	advanced	ADJ
cuesj-1638	224	37	kalman	kalman	NOUN
cuesj-1638	224	38	variants	variant	NOUN
cuesj-1638	224	39	.	.	PUNCT
cuesj-1638	225	1	additionally	additionally	ADV
cuesj-1638	225	2	,	,	PUNCT
cuesj-1638	225	3	comparative	comparative	ADJ
cuesj-1638	225	4	evaluations	evaluation	NOUN
cuesj-1638	225	5	with	with	ADP
cuesj-1638	225	6	other	other	ADJ
cuesj-1638	225	7	estimation	estimation	NOUN
cuesj-1638	225	8	techniques	technique	NOUN
cuesj-1638	225	9	,	,	PUNCT
cuesj-1638	225	10	including	include	VERB
cuesj-1638	225	11	particle	particle	NOUN
cuesj-1638	225	12	filters	filter	NOUN
cuesj-1638	225	13	and	and	CCONJ
cuesj-1638	225	14	bayesian	bayesian	NOUN
cuesj-1638	225	15	methods	method	NOUN
cuesj-1638	225	16	,	,	PUNCT
cuesj-1638	225	17	would	would	AUX
cuesj-1638	225	18	provide	provide	VERB
cuesj-1638	225	19	further	further	ADJ
cuesj-1638	225	20	insights	insight	NOUN
cuesj-1638	225	21	into	into	ADP
cuesj-1638	225	22	the	the	DET
cuesj-1638	225	23	trade	trade	NOUN
cuesj-1638	225	24	-	-	PUNCT
cuesj-1638	225	25	offs	off	NOUN
cuesj-1638	225	26	between	between	ADP
cuesj-1638	225	27	model	model	NOUN
cuesj-1638	225	28	interpretability	interpretability	NOUN
cuesj-1638	225	29	,	,	PUNCT
cuesj-1638	225	30	computational	computational	ADJ
cuesj-1638	225	31	efficiency	efficiency	NOUN
cuesj-1638	225	32	,	,	PUNCT
cuesj-1638	225	33	and	and	CCONJ
cuesj-1638	225	34	forecasting	forecasting	NOUN
cuesj-1638	225	35	accuracy	accuracy	NOUN
cuesj-1638	225	36	.	.	PUNCT
cuesj-1638	226	1	references	reference	NOUN
cuesj-1638	226	2	1	1	NUM
cuesj-1638	226	3	.	.	PUNCT
cuesj-1638	227	1	v.	v.	ADP
cuesj-1638	227	2	kumar	kumar	PROPN
cuesj-1638	227	3	and	and	CCONJ
cuesj-1638	227	4	r.	r.	PROPN
cuesj-1638	227	5	k.	k.	PROPN
cuesj-1638	227	6	mandal	mandal	PROPN
cuesj-1638	227	7	.	.	PUNCT
cuesj-1638	228	1	long	long	ADJ
cuesj-1638	228	2	-	-	PUNCT
cuesj-1638	228	3	term	term	NOUN
cuesj-1638	228	4	load	load	NOUN
cuesj-1638	228	5	forecasting	forecasting	NOUN
cuesj-1638	228	6	for	for	ADP
cuesj-1638	228	7	smart	smart	ADJ
cuesj-1638	228	8	grid	grid	NOUN
cuesj-1638	228	9	.	.	PUNCT
cuesj-1638	229	1	engineering	engineering	NOUN
cuesj-1638	229	2	research	research	NOUN
cuesj-1638	229	3	express	express	ADJ
cuesj-1638	229	4	,	,	PUNCT
cuesj-1638	229	5	vol	vol	NOUN
cuesj-1638	229	6	.	.	PROPN
cuesj-1638	230	1	6	6	NUM
cuesj-1638	230	2	,	,	PUNCT
cuesj-1638	230	3	no	no	INTJ
cuesj-1638	230	4	.	.	NOUN
cuesj-1638	230	5	4	4	NUM
cuesj-1638	230	6	,	,	PUNCT
cuesj-1638	230	7	p.	p.	NOUN
cuesj-1638	230	8	045339	045339	NUM
cuesj-1638	230	9	,	,	PUNCT
cuesj-1638	230	10	2024	2024	NUM
cuesj-1638	230	11	.	.	PUNCT
cuesj-1638	231	1	2	2	X
cuesj-1638	231	2	.	.	X
cuesj-1638	231	3	m.	m.	PROPN
cuesj-1638	231	4	ali	ali	PROPN
cuesj-1638	231	5	,	,	PUNCT
cuesj-1638	231	6	m.	m.	PROPN
cuesj-1638	231	7	adnan	adnan	PROPN
cuesj-1638	231	8	,	,	PUNCT
cuesj-1638	231	9	m.	m.	NOUN
cuesj-1638	231	10	tariq	tariq	PROPN
cuesj-1638	231	11	and	and	CCONJ
cuesj-1638	231	12	h.	h.	PROPN
cuesj-1638	231	13	v.	v.	PROPN
cuesj-1638	231	14	poor	poor	PROPN
cuesj-1638	231	15	.	.	PUNCT
cuesj-1638	232	1	load	load	NOUN
cuesj-1638	232	2	forecasting	forecast	VERB
cuesj-1638	232	3	through	through	ADP
cuesj-1638	232	4	estimated	estimate	VERB
cuesj-1638	232	5	parametrized	parametrize	VERB
cuesj-1638	232	6	-	-	PUNCT
cuesj-1638	232	7	based	base	VERB
cuesj-1638	232	8	fuzzy	fuzzy	ADJ
cuesj-1638	232	9	inference	inference	NOUN
cuesj-1638	232	10	system	system	NOUN
cuesj-1638	232	11	in	in	ADP
cuesj-1638	232	12	smart	smart	ADJ
cuesj-1638	232	13	grids	grid	NOUN
cuesj-1638	232	14	.	.	PUNCT
cuesj-1638	233	1	ieee	ieee	NOUN
cuesj-1638	233	2	transactions	transaction	NOUN
cuesj-1638	233	3	on	on	ADP
cuesj-1638	233	4	fuzzy	fuzzy	ADJ
cuesj-1638	233	5	systems	system	NOUN
cuesj-1638	233	6	,	,	PUNCT
cuesj-1638	233	7	vol	vol	NOUN
cuesj-1638	233	8	.	.	PROPN
cuesj-1638	233	9	29	29	NUM
cuesj-1638	233	10	,	,	PUNCT
cuesj-1638	233	11	no	no	INTJ
cuesj-1638	233	12	.	.	NOUN
cuesj-1638	233	13	1	1	NUM
cuesj-1638	233	14	,	,	PUNCT
cuesj-1638	233	15	pp	pp	ADJ
cuesj-1638	233	16	.	.	PUNCT
cuesj-1638	234	1	156	156	NUM
cuesj-1638	234	2	-	-	SYM
cuesj-1638	234	3	165	165	NUM
cuesj-1638	234	4	,	,	PUNCT
cuesj-1638	234	5	2020	2020	NUM
cuesj-1638	234	6	.	.	PUNCT
cuesj-1638	235	1	3	3	X
cuesj-1638	235	2	.	.	X
cuesj-1638	235	3	m.	m.	NOUN
cuesj-1638	235	4	chavan	chavan	PROPN
cuesj-1638	235	5	.	.	PUNCT
cuesj-1638	236	1	time	time	PROPN
cuesj-1638	236	2	series	series	PROPN
cuesj-1638	236	3	analysis	analysis	NOUN
cuesj-1638	236	4	in	in	ADP
cuesj-1638	236	5	electrical	electrical	ADJ
cuesj-1638	236	6	load	load	NOUN
cuesj-1638	236	7	forecasting	forecasting	NOUN
cuesj-1638	236	8	.	.	PUNCT
cuesj-1638	237	1	panamerican	panamerican	PROPN
cuesj-1638	237	2	mathematical	mathematical	ADJ
cuesj-1638	237	3	journal	journal	PROPN
cuesj-1638	237	4	,	,	PUNCT
cuesj-1638	237	5	vol	vol	NOUN
cuesj-1638	237	6	.	.	PROPN
cuesj-1638	237	7	35	35	NUM
cuesj-1638	237	8	,	,	PUNCT
cuesj-1638	237	9	no	no	INTJ
cuesj-1638	237	10	.	.	NOUN
cuesj-1638	237	11	1	1	NUM
cuesj-1638	237	12	,	,	PUNCT
cuesj-1638	237	13	pp	pp	ADJ
cuesj-1638	237	14	.	.	PUNCT
cuesj-1638	238	1	210	210	NUM
cuesj-1638	238	2	-	-	SYM
cuesj-1638	238	3	219	219	NUM
cuesj-1638	238	4	,	,	PUNCT
cuesj-1638	238	5	2024	2024	NUM
cuesj-1638	238	6	.	.	PUNCT
cuesj-1638	239	1	4	4	NUM
cuesj-1638	239	2	.	.	X
cuesj-1638	239	3	x.	x.	PROPN
cuesj-1638	239	4	sun	sun	PROPN
cuesj-1638	239	5	,	,	PUNCT
cuesj-1638	239	6	x.	x.	PROPN
cuesj-1638	239	7	zhang	zhang	PROPN
cuesj-1638	239	8	and	and	CCONJ
cuesj-1638	239	9	f.	f.	PROPN
cuesj-1638	239	10	zeng	zeng	PROPN
cuesj-1638	239	11	.	.	PUNCT
cuesj-1638	240	1	an	an	DET
cuesj-1638	240	2	improved	improve	VERB
cuesj-1638	240	3	time	time	NOUN
cuesj-1638	240	4	series	series	PROPN
cuesj-1638	240	5	temperature	temperature	NOUN
cuesj-1638	240	6	prediction	prediction	NOUN
cuesj-1638	240	7	algorithm	algorithm	NOUN
cuesj-1638	240	8	based	base	VERB
cuesj-1638	240	9	on	on	ADP
cuesj-1638	240	10	kalman	kalman	PROPN
cuesj-1638	240	11	filter	filter	PROPN
cuesj-1638	240	12	and	and	CCONJ
cuesj-1638	240	13	lstm	lstm	NOUN
cuesj-1638	240	14	.	.	PUNCT
cuesj-1638	241	1	in	in	ADP
cuesj-1638	241	2	:	:	PUNCT
cuesj-1638	241	3	2024	2024	NUM
cuesj-1638	241	4	international	international	ADJ
cuesj-1638	241	5	conference	conference	NOUN
cuesj-1638	241	6	on	on	ADP
cuesj-1638	241	7	energy	energy	NOUN
cuesj-1638	241	8	and	and	CCONJ
cuesj-1638	241	9	electrical	electrical	ADJ
cuesj-1638	241	10	engineering	engineering	NOUN
cuesj-1638	241	11	(	(	PUNCT
cuesj-1638	241	12	eee	eee	NOUN
cuesj-1638	241	13	)	)	PUNCT
cuesj-1638	241	14	,	,	PUNCT
cuesj-1638	241	15	pp	pp	ADJ
cuesj-1638	241	16	.	.	PUNCT
cuesj-1638	242	1	1	1	NUM
cuesj-1638	242	2	-	-	SYM
cuesj-1638	242	3	7	7	NUM
cuesj-1638	242	4	,	,	PUNCT
cuesj-1638	242	5	2024	2024	NUM
cuesj-1638	242	6	.	.	PUNCT
cuesj-1638	243	1	5	5	NUM
cuesj-1638	243	2	.	.	PUNCT
cuesj-1638	243	3	s.	s.	PROPN
cuesj-1638	243	4	h.	h.	PROPN
cuesj-1638	243	5	murad	murad	PROPN
cuesj-1638	243	6	,	,	PUNCT
cuesj-1638	243	7	n.	n.	PROPN
cuesj-1638	243	8	b.	b.	PROPN
cuesj-1638	243	9	tayfor	tayfor	PROPN
cuesj-1638	243	10	,	,	PUNCT
cuesj-1638	243	11	n.	n.	PROPN
cuesj-1638	243	12	h.	h.	PROPN
cuesj-1638	243	13	mahmood	mahmood	PROPN
cuesj-1638	243	14	and	and	CCONJ
cuesj-1638	243	15	l.	l.	PROPN
cuesj-1638	243	16	arman	arman	PROPN
cuesj-1638	243	17	.	.	PUNCT
cuesj-1638	244	1	hybrid	hybrid	ADJ
cuesj-1638	244	2	genetic	genetic	ADJ
cuesj-1638	244	3	algorithms	algorithms	NOUN
cuesj-1638	244	4	-	-	PUNCT
cuesj-1638	244	5	driven	drive	VERB
cuesj-1638	244	6	optimization	optimization	NOUN
cuesj-1638	244	7	of	of	ADP
cuesj-1638	244	8	machine	machine	NOUN
cuesj-1638	244	9	learning	learning	NOUN
cuesj-1638	244	10	models	model	NOUN
cuesj-1638	244	11	for	for	ADP
cuesj-1638	244	12	heart	heart	NOUN
cuesj-1638	244	13	disease	disease	NOUN
cuesj-1638	244	14	predictio	predictio	NOUN
cuesj-1638	244	15	.	.	PUNCT
cuesj-1638	245	1	methodsx	methodsx	PROPN
cuesj-1638	245	2	,	,	PUNCT
cuesj-1638	245	3	vol	vol	NOUN
cuesj-1638	245	4	.	.	PROPN
cuesj-1638	245	5	15	15	NUM
cuesj-1638	245	6	,	,	PUNCT
cuesj-1638	245	7	p.	p.	NOUN
cuesj-1638	245	8	103510	103510	NUM
cuesj-1638	245	9	,	,	PUNCT
cuesj-1638	245	10	2025	2025	NUM
cuesj-1638	245	11	.	.	PUNCT
cuesj-1638	246	1	6	6	NUM
cuesj-1638	246	2	.	.	PUNCT
cuesj-1638	246	3	i.	i.	PROPN
cuesj-1638	246	4	akhtar	akhtar	PROPN
cuesj-1638	246	5	,	,	PUNCT
cuesj-1638	246	6	s.	s.	PROPN
cuesj-1638	246	7	kirmani	kirmani	PROPN
cuesj-1638	246	8	,	,	PUNCT
cuesj-1638	246	9	m.	m.	NOUN
cuesj-1638	246	10	ahmad	ahmad	PROPN
cuesj-1638	246	11	and	and	CCONJ
cuesj-1638	246	12	s.	s.	PROPN
cuesj-1638	246	13	ahmad	ahmad	PROPN
cuesj-1638	246	14	.	.	PUNCT
cuesj-1638	247	1	average	average	ADJ
cuesj-1638	247	2	monthly	monthly	ADJ
cuesj-1638	247	3	wind	wind	NOUN
cuesj-1638	247	4	power	power	NOUN
cuesj-1638	247	5	forecasting	forecasting	NOUN
cuesj-1638	247	6	using	use	VERB
cuesj-1638	247	7	fuzzy	fuzzy	ADJ
cuesj-1638	247	8	approach	approach	NOUN
cuesj-1638	247	9	.	.	PUNCT
cuesj-1638	248	1	ieee	ieee	NOUN
cuesj-1638	248	2	access	access	NOUN
cuesj-1638	248	3	,	,	PUNCT
cuesj-1638	248	4	vol	vol	NOUN
cuesj-1638	248	5	.	.	NOUN
cuesj-1638	248	6	9	9	NUM
cuesj-1638	248	7	,	,	PUNCT
cuesj-1638	248	8	pp	pp	ADJ
cuesj-1638	248	9	.	.	PUNCT
cuesj-1638	248	10	30426	30426	NUM
cuesj-1638	248	11	-	-	SYM
cuesj-1638	248	12	30440	30440	NUM
cuesj-1638	248	13	,	,	PUNCT
cuesj-1638	248	14	2021	2021	NUM
cuesj-1638	248	15	.	.	PUNCT
cuesj-1638	249	1	7	7	X
cuesj-1638	249	2	.	.	PUNCT
cuesj-1638	249	3	h.	h.	PROPN
cuesj-1638	249	4	a.	a.	PROPN
cuesj-1638	249	5	khidir	khidir	PROPN
cuesj-1638	249	6	,	,	PUNCT
cuesj-1638	249	7	i̇.	i̇.	PROPN
cuesj-1638	249	8	etikan	etikan	NOUN
cuesj-1638	249	9	,	,	PUNCT
cuesj-1638	249	10	d.	d.	PROPN
cuesj-1638	249	11	h.	h.	PROPN
cuesj-1638	249	12	kadir	kadir	PROPN
cuesj-1638	249	13	,	,	PUNCT
cuesj-1638	249	14	n.	n.	PROPN
cuesj-1638	249	15	h.	h.	PROPN
cuesj-1638	249	16	mahmood	mahmood	PROPN
cuesj-1638	249	17	and	and	CCONJ
cuesj-1638	249	18	r.	r.	PROPN
cuesj-1638	249	19	sabetvand	sabetvand	PROPN
cuesj-1638	249	20	.	.	PUNCT
cuesj-1638	250	1	bayesian	bayesian	NOUN
cuesj-1638	250	2	machine	machine	NOUN
cuesj-1638	250	3	learning	learn	VERB
cuesj-1638	250	4	analysis	analysis	NOUN
cuesj-1638	250	5	with	with	ADP
cuesj-1638	250	6	markov	markov	NOUN
cuesj-1638	250	7	chain	chain	NOUN
cuesj-1638	250	8	monte	monte	PROPN
cuesj-1638	250	9	carlo	carlo	PROPN
cuesj-1638	250	10	techniques	technique	NOUN
cuesj-1638	250	11	for	for	ADP
cuesj-1638	250	12	assessing	assess	VERB
cuesj-1638	250	13	characteristics	characteristic	NOUN
cuesj-1638	250	14	and	and	CCONJ
cuesj-1638	250	15	risk	risk	NOUN
cuesj-1638	250	16	factors	factor	NOUN
cuesj-1638	250	17	of	of	ADP
cuesj-1638	250	18	covid-19	covid-19	PROPN
cuesj-1638	250	19	in	in	ADP
cuesj-1638	250	20	erbil	erbil	PROPN
cuesj-1638	250	21	city	city	PROPN
cuesj-1638	250	22	-	-	PUNCT
cuesj-1638	250	23	iraq	iraq	PROPN
cuesj-1638	250	24	2020	2020	NUM
cuesj-1638	250	25	-	-	SYM
cuesj-1638	250	26	2021	2021	NUM
cuesj-1638	250	27	.	.	PUNCT
cuesj-1638	251	1	alexandria	alexandria	PROPN
cuesj-1638	251	2	engineering	engineering	PROPN
cuesj-1638	251	3	journal	journal	PROPN
cuesj-1638	251	4	,	,	PUNCT
cuesj-1638	251	5	vol	vol	NOUN
cuesj-1638	251	6	.	.	PROPN
cuesj-1638	251	7	78	78	NUM
cuesj-1638	251	8	,	,	PUNCT
cuesj-1638	251	9	pp	pp	ADJ
cuesj-1638	251	10	.	.	PUNCT
cuesj-1638	252	1	162	162	NUM
cuesj-1638	252	2	-	-	SYM
cuesj-1638	252	3	174	174	NUM
cuesj-1638	252	4	,	,	PUNCT
cuesj-1638	252	5	2023	2023	NUM
cuesj-1638	252	6	.	.	PUNCT
cuesj-1638	253	1	8	8	X
cuesj-1638	253	2	.	.	PUNCT
cuesj-1638	253	3	n.	n.	PROPN
cuesj-1638	253	4	h.	h.	PROPN
cuesj-1638	253	5	mahmood	mahmood	PROPN
cuesj-1638	253	6	and	and	CCONJ
cuesj-1638	253	7	d.	d.	PROPN
cuesj-1638	253	8	h.	h.	PROPN
cuesj-1638	253	9	kadir	kadir	PROPN
cuesj-1638	253	10	.	.	PUNCT
cuesj-1638	254	1	an	an	DET
cuesj-1638	254	2	elastic	elastic	ADJ
cuesj-1638	254	3	net	net	ADJ
cuesj-1638	254	4	approach	approach	NOUN
cuesj-1638	254	5	to	to	ADP
cuesj-1638	254	6	logistic	logistic	ADJ
cuesj-1638	254	7	regression	regression	NOUN
cuesj-1638	254	8	for	for	ADP
cuesj-1638	254	9	genetic	genetic	ADJ
cuesj-1638	254	10	selection	selection	NOUN
cuesj-1638	254	11	in	in	ADP
cuesj-1638	254	12	high	high	ADJ
cuesj-1638	254	13	-	-	PUNCT
cuesj-1638	254	14	dimensional	dimensional	ADJ
cuesj-1638	254	15	brain	brain	NOUN
cuesj-1638	254	16	cancer	cancer	NOUN
cuesj-1638	254	17	data	datum	NOUN
cuesj-1638	254	18	.	.	PUNCT
cuesj-1638	255	1	cihan	cihan	VERB
cuesj-1638	255	2	university	university	NOUN
cuesj-1638	255	3	-	-	PUNCT
cuesj-1638	255	4	erbil	erbil	PROPN
cuesj-1638	255	5	scientific	scientific	ADJ
cuesj-1638	255	6	journal	journal	NOUN
cuesj-1638	255	7	,	,	PUNCT
cuesj-1638	255	8	vol	vol	NOUN
cuesj-1638	255	9	.	.	PROPN
cuesj-1638	255	10	9	9	NUM
cuesj-1638	255	11	,	,	PUNCT
cuesj-1638	255	12	no	no	INTJ
cuesj-1638	255	13	.	.	NOUN
cuesj-1638	255	14	1	1	NUM
cuesj-1638	255	15	,	,	PUNCT
cuesj-1638	255	16	pp	pp	ADJ
cuesj-1638	255	17	.	.	PUNCT
cuesj-1638	256	1	14	14	NUM
cuesj-1638	256	2	-	-	SYM
cuesj-1638	256	3	23	23	NUM
cuesj-1638	256	4	,	,	PUNCT
cuesj-1638	256	5	2025	2025	NUM
cuesj-1638	256	6	.	.	PUNCT
cuesj-1638	257	1	9	9	NUM
cuesj-1638	257	2	.	.	PUNCT
cuesj-1638	257	3	a.	a.	PROPN
cuesj-1638	257	4	ahmad	ahmad	PROPN
cuesj-1638	257	5	,	,	PUNCT
cuesj-1638	257	6	n.	n.	PROPN
cuesj-1638	257	7	javaid	javaid	PROPN
cuesj-1638	257	8	,	,	PUNCT
cuesj-1638	257	9	a.	a.	PROPN
cuesj-1638	257	10	mateen	mateen	PROPN
cuesj-1638	257	11	,	,	PUNCT
cuesj-1638	257	12	m.	m.	NOUN
cuesj-1638	257	13	awais	awais	PROPN
cuesj-1638	257	14	and	and	CCONJ
cuesj-1638	257	15	z.	z.	PROPN
cuesj-1638	257	16	a.	a.	PROPN
cuesj-1638	257	17	khan	khan	PROPN
cuesj-1638	257	18	.	.	PUNCT
cuesj-1638	258	1	shortterm	shortterm	PROPN
cuesj-1638	258	2	load	load	NOUN
cuesj-1638	258	3	forecasting	forecasting	NOUN
cuesj-1638	258	4	in	in	ADP
cuesj-1638	258	5	smart	smart	ADJ
cuesj-1638	258	6	grids	grid	NOUN
cuesj-1638	258	7	:	:	PUNCT
cuesj-1638	258	8	an	an	DET
cuesj-1638	258	9	intelligent	intelligent	ADJ
cuesj-1638	258	10	modular	modular	ADJ
cuesj-1638	258	11	approach	approach	NOUN
cuesj-1638	258	12	.	.	PUNCT
cuesj-1638	259	1	energies	energy	NOUN
cuesj-1638	259	2	,	,	PUNCT
cuesj-1638	259	3	vol	vol	NOUN
cuesj-1638	259	4	.	.	PROPN
cuesj-1638	259	5	12	12	NUM
cuesj-1638	259	6	,	,	PUNCT
cuesj-1638	259	7	no	no	INTJ
cuesj-1638	259	8	.	.	NOUN
cuesj-1638	259	9	1	1	NUM
cuesj-1638	259	10	,	,	PUNCT
cuesj-1638	259	11	p.	p.	NOUN
cuesj-1638	259	12	164	164	NUM
cuesj-1638	259	13	,	,	PUNCT
cuesj-1638	259	14	2019	2019	NUM
cuesj-1638	259	15	.	.	PUNCT
cuesj-1638	260	1	10	10	NUM
cuesj-1638	260	2	.	.	PUNCT
cuesj-1638	261	1	g.	g.	PROPN
cuesj-1638	261	2	revach	revach	PROPN
cuesj-1638	261	3	,	,	PUNCT
cuesj-1638	261	4	n.	n.	NOUN
cuesj-1638	261	5	shlezinger	shlezinger	NOUN
cuesj-1638	261	6	,	,	PUNCT
cuesj-1638	261	7	sloun	sloun	ADV
cuesj-1638	261	8	,	,	PUNCT
cuesj-1638	261	9	v	v	NOUN
cuesj-1638	261	10	and	and	CCONJ
cuesj-1638	261	11	y.	y.	PROPN
cuesj-1638	261	12	c.	c.	PROPN
cuesj-1638	261	13	eldar	eldar	PROPN
cuesj-1638	261	14	.	.	PUNCT
cuesj-1638	262	1	kalmannet	kalmannet	NOUN
cuesj-1638	262	2	:	:	PUNCT
cuesj-1638	262	3	data	data	NOUN
cuesj-1638	262	4	-	-	PUNCT
cuesj-1638	262	5	driven	drive	VERB
cuesj-1638	262	6	kalman	kalman	NOUN
cuesj-1638	262	7	filtering	filtering	PROPN
cuesj-1638	262	8	.	.	PUNCT
cuesj-1638	263	1	institute	institute	PROPN
cuesj-1638	263	2	of	of	ADP
cuesj-1638	263	3	electrical	electrical	ADJ
cuesj-1638	263	4	and	and	CCONJ
cuesj-1638	263	5	electronics	electronic	NOUN
cuesj-1638	263	6	engineers	engineer	NOUN
cuesj-1638	263	7	,	,	PUNCT
cuesj-1638	263	8	piscataway	piscataway	NOUN
cuesj-1638	263	9	,	,	PUNCT
cuesj-1638	263	10	2021	2021	NUM
cuesj-1638	263	11	.	.	PUNCT
cuesj-1638	264	1	11	11	NUM
cuesj-1638	264	2	.	.	PUNCT
cuesj-1638	265	1	t.	t.	PROPN
cuesj-1638	265	2	wen	wen	PROPN
cuesj-1638	265	3	,	,	PUNCT
cuesj-1638	265	4	j.	j.	PROPN
cuesj-1638	265	5	liu	liu	PROPN
cuesj-1638	265	6	,	,	PUNCT
cuesj-1638	265	7	b.	b.	PROPN
cuesj-1638	265	8	cai	cai	PROPN
cuesj-1638	265	9	and	and	CCONJ
cuesj-1638	265	10	c.	c.	PROPN
cuesj-1638	265	11	roberts	roberts	PROPN
cuesj-1638	265	12	.	.	PUNCT
cuesj-1638	266	1	high	high	ADJ
cuesj-1638	266	2	-	-	PUNCT
cuesj-1638	266	3	precision	precision	NOUN
cuesj-1638	266	4	state	state	NOUN
cuesj-1638	266	5	estimator	estimator	NOUN
cuesj-1638	266	6	design	design	NOUN
cuesj-1638	266	7	for	for	ADP
cuesj-1638	266	8	the	the	DET
cuesj-1638	266	9	state	state	NOUN
cuesj-1638	266	10	of	of	ADP
cuesj-1638	266	11	gaussian	gaussian	ADJ
cuesj-1638	266	12	linear	linear	PROPN
cuesj-1638	266	13	systems	system	NOUN
cuesj-1638	266	14	based	base	VERB
cuesj-1638	266	15	on	on	ADP
cuesj-1638	266	16	deep	deep	ADJ
cuesj-1638	266	17	neural	neural	ADJ
cuesj-1638	266	18	network	network	NOUN
cuesj-1638	266	19	kalman	kalman	PROPN
cuesj-1638	266	20	filter	filter	PROPN
cuesj-1638	266	21	.	.	PUNCT
cuesj-1638	267	1	ieee	ieee	PROPN
cuesj-1638	267	2	sensors	sensor	NOUN
cuesj-1638	267	3	journal	journal	PROPN
cuesj-1638	267	4	,	,	PUNCT
cuesj-1638	267	5	vol	vol	NOUN
cuesj-1638	267	6	.	.	PROPN
cuesj-1638	267	7	23	23	NUM
cuesj-1638	267	8	,	,	PUNCT
cuesj-1638	267	9	no	no	INTJ
cuesj-1638	267	10	.	.	NOUN
cuesj-1638	267	11	24	24	NUM
cuesj-1638	267	12	,	,	PUNCT
cuesj-1638	267	13	pp	pp	ADJ
cuesj-1638	267	14	.	.	PUNCT
cuesj-1638	268	1	31337	31337	NUM
cuesj-1638	268	2	-	-	SYM
cuesj-1638	268	3	31344	31344	NUM
cuesj-1638	268	4	,	,	PUNCT
cuesj-1638	268	5	2023	2023	NUM
cuesj-1638	268	6	.	.	PUNCT
cuesj-1638	269	1	12	12	NUM
cuesj-1638	269	2	.	.	PUNCT
cuesj-1638	269	3	s.	s.	PROPN
cuesj-1638	269	4	shen	shen	PROPN
cuesj-1638	269	5	,	,	PUNCT
cuesj-1638	269	6	j.	j.	PROPN
cuesj-1638	269	7	chen	chen	PROPN
cuesj-1638	269	8	,	,	PUNCT
cuesj-1638	269	9	g.	g.	PROPN
cuesj-1638	269	10	yu	yu	PROPN
cuesj-1638	269	11	,	,	PUNCT
cuesj-1638	269	12	z.	z.	PROPN
cuesj-1638	269	13	zhai	zhai	PROPN
cuesj-1638	269	14	and	and	CCONJ
cuesj-1638	269	15	p.	p.	PROPN
cuesj-1638	269	16	han	han	PROPN
cuesj-1638	269	17	.	.	PUNCT
cuesj-1638	270	1	kalmanformer	kalmanformer	PROPN
cuesj-1638	270	2	:	:	PUNCT
cuesj-1638	270	3	using	use	VERB
cuesj-1638	270	4	transformer	transformer	NOUN
cuesj-1638	270	5	to	to	PART
cuesj-1638	270	6	model	model	VERB
cuesj-1638	270	7	the	the	DET
cuesj-1638	270	8	kalman	kalman	NOUN
cuesj-1638	270	9	gain	gain	VERB
cuesj-1638	270	10	in	in	ADP
cuesj-1638	270	11	kalman	kalman	PROPN
cuesj-1638	270	12	filters	filter	NOUN
cuesj-1638	270	13	.	.	PUNCT
cuesj-1638	271	1	frontiers	frontier	NOUN
cuesj-1638	271	2	in	in	ADP
cuesj-1638	271	3	neurorobotics	neurorobotic	NOUN
cuesj-1638	271	4	,	,	PUNCT
cuesj-1638	271	5	vol	vol	NOUN
cuesj-1638	271	6	.	.	PROPN
cuesj-1638	271	7	18	18	NUM
cuesj-1638	271	8	,	,	PUNCT
cuesj-1638	271	9	p.	p.	NOUN
cuesj-1638	271	10	1460255	1460255	NUM
cuesj-1638	271	11	,	,	PUNCT
cuesj-1638	271	12	2025	2025	NUM
cuesj-1638	271	13	.	.	PUNCT
cuesj-1638	272	1	13	13	NUM
cuesj-1638	272	2	.	.	PUNCT
cuesj-1638	273	1	w.	w.	PROPN
cuesj-1638	273	2	liu	liu	PROPN
cuesj-1638	273	3	,	,	PUNCT
cuesj-1638	273	4	y.	y.	PROPN
cuesj-1638	273	5	liu	liu	PROPN
cuesj-1638	273	6	and	and	CCONJ
cuesj-1638	273	7	r.	r.	PROPN
cuesj-1638	273	8	bucknall	bucknall	PROPN
cuesj-1638	273	9	.	.	PUNCT
cuesj-1638	274	1	a	a	DET
cuesj-1638	274	2	robust	robust	ADJ
cuesj-1638	274	3	localization	localization	NOUN
cuesj-1638	274	4	method	method	NOUN
cuesj-1638	274	5	for	for	ADP
cuesj-1638	274	6	unmanned	unmanned	ADJ
cuesj-1638	274	7	surface	surface	NOUN
cuesj-1638	274	8	vehicle	vehicle	NOUN
cuesj-1638	274	9	(	(	PUNCT
cuesj-1638	274	10	usv	usv	ADJ
cuesj-1638	274	11	)	)	PUNCT
cuesj-1638	274	12	navigation	navigation	NOUN
cuesj-1638	274	13	using	use	VERB
cuesj-1638	274	14	fuzzy	fuzzy	ADJ
cuesj-1638	274	15	adaptive	adaptive	ADJ
cuesj-1638	274	16	kalman	kalman	NOUN
cuesj-1638	274	17	filtering	filtering	PROPN
cuesj-1638	274	18	.	.	PUNCT
cuesj-1638	275	1	ieee	ieee	NOUN
cuesj-1638	275	2	access	access	NOUN
cuesj-1638	275	3	,	,	PUNCT
cuesj-1638	275	4	vol	vol	NOUN
cuesj-1638	275	5	.	.	PROPN
cuesj-1638	275	6	7	7	NUM
cuesj-1638	275	7	,	,	PUNCT
cuesj-1638	275	8	pp	pp	ADJ
cuesj-1638	275	9	.	.	PUNCT
cuesj-1638	276	1	46071	46071	NUM
cuesj-1638	276	2	-	-	SYM
cuesj-1638	276	3	46083	46083	NUM
cuesj-1638	276	4	,	,	PUNCT
cuesj-1638	276	5	2019	2019	NUM
cuesj-1638	276	6	.	.	PUNCT
cuesj-1638	277	1	14	14	NUM
cuesj-1638	277	2	.	.	PUNCT
cuesj-1638	277	3	i.	i.	PROPN
cuesj-1638	277	4	ullah	ullah	PROPN
cuesj-1638	277	5	,	,	PUNCT
cuesj-1638	277	6	m.	m.	NOUN
cuesj-1638	277	7	fayaz	fayaz	PROPN
cuesj-1638	277	8	and	and	CCONJ
cuesj-1638	277	9	d.	d.	PROPN
cuesj-1638	277	10	kim	kim	PROPN
cuesj-1638	277	11	.	.	PUNCT
cuesj-1638	278	1	improving	improve	VERB
cuesj-1638	278	2	accuracy	accuracy	NOUN
cuesj-1638	278	3	of	of	ADP
cuesj-1638	278	4	the	the	DET
cuesj-1638	278	5	kalman	kalman	PROPN
cuesj-1638	278	6	filter	filter	NOUN
cuesj-1638	278	7	algorithm	algorithm	NOUN
cuesj-1638	278	8	in	in	ADP
cuesj-1638	278	9	dynamic	dynamic	ADJ
cuesj-1638	278	10	conditions	condition	NOUN
cuesj-1638	278	11	using	use	VERB
cuesj-1638	278	12	ann	ann	PROPN
cuesj-1638	278	13	-	-	PUNCT
cuesj-1638	278	14	based	base	VERB
cuesj-1638	278	15	learning	learning	NOUN
cuesj-1638	278	16	module	module	NOUN
cuesj-1638	278	17	.	.	PUNCT
cuesj-1638	279	1	symmetry	symmetry	NOUN
cuesj-1638	279	2	,	,	PUNCT
cuesj-1638	279	3	vol	vol	NOUN
cuesj-1638	279	4	.	.	PROPN
cuesj-1638	279	5	11	11	NUM
cuesj-1638	279	6	,	,	PUNCT
cuesj-1638	279	7	no	no	INTJ
cuesj-1638	279	8	.	.	NOUN
cuesj-1638	279	9	1	1	NUM
cuesj-1638	279	10	,	,	PUNCT
cuesj-1638	279	11	p.	p.	NOUN
cuesj-1638	279	12	94	94	NUM
cuesj-1638	279	13	,	,	PUNCT
cuesj-1638	279	14	2019	2019	NUM
cuesj-1638	279	15	.	.	PUNCT
cuesj-1638	280	1	15	15	NUM
cuesj-1638	280	2	.	.	PUNCT
cuesj-1638	280	3	m.	m.	NOUN
cuesj-1638	280	4	a.	a.	PROPN
cuesj-1638	280	5	hammad	hammad	PROPN
cuesj-1638	280	6	,	,	PUNCT
cuesj-1638	280	7	b.	b.	PROPN
cuesj-1638	280	8	jereb	jereb	PROPN
cuesj-1638	280	9	,	,	PUNCT
cuesj-1638	280	10	b.	b.	PROPN
cuesj-1638	280	11	rosi	rosi	PROPN
cuesj-1638	280	12	and	and	CCONJ
cuesj-1638	280	13	d.	d.	PROPN
cuesj-1638	280	14	dragan	dragan	PROPN
cuesj-1638	280	15	.	.	PUNCT
cuesj-1638	281	1	methods	method	NOUN
cuesj-1638	281	2	and	and	CCONJ
cuesj-1638	281	3	models	model	NOUN
cuesj-1638	281	4	for	for	ADP
cuesj-1638	281	5	electric	electric	ADJ
cuesj-1638	281	6	load	load	NOUN
cuesj-1638	281	7	forecasting	forecasting	NOUN
cuesj-1638	281	8	:	:	PUNCT
cuesj-1638	281	9	a	a	DET
cuesj-1638	281	10	comprehensive	comprehensive	ADJ
cuesj-1638	281	11	review	review	NOUN
cuesj-1638	281	12	.	.	PUNCT
cuesj-1638	282	1	logistics	logistic	NOUN
cuesj-1638	282	2	and	and	CCONJ
cuesj-1638	282	3	sustainable	sustainable	ADJ
cuesj-1638	282	4	transport	transport	NOUN
cuesj-1638	282	5	,	,	PUNCT
cuesj-1638	282	6	vol	vol	NOUN
cuesj-1638	282	7	.	.	PROPN
cuesj-1638	282	8	11	11	NUM
cuesj-1638	282	9	,	,	PUNCT
cuesj-1638	282	10	no	no	INTJ
cuesj-1638	282	11	.	.	NOUN
cuesj-1638	282	12	1	1	NUM
cuesj-1638	282	13	,	,	PUNCT
cuesj-1638	282	14	pp	pp	ADJ
cuesj-1638	282	15	.	.	PUNCT
cuesj-1638	283	1	51	51	NUM
cuesj-1638	283	2	-	-	SYM
cuesj-1638	283	3	76	76	NUM
cuesj-1638	283	4	,	,	PUNCT
cuesj-1638	283	5	2020	2020	NUM
cuesj-1638	283	6	.	.	PUNCT
cuesj-1638	284	1	16	16	NUM
cuesj-1638	284	2	.	.	PUNCT
cuesj-1638	285	1	u.	u.	PROPN
cuesj-1638	285	2	dilawar	dilawar	PROPN
cuesj-1638	285	3	,	,	PUNCT
cuesj-1638	285	4	a.	a.	NOUN
cuesj-1638	285	5	khaliq	khaliq	PROPN
cuesj-1638	285	6	and	and	CCONJ
cuesj-1638	285	7	n.	n.	PROPN
cuesj-1638	285	8	kureshi	kureshi	PROPN
cuesj-1638	285	9	.	.	PUNCT
cuesj-1638	286	1	evaluating	evaluate	VERB
cuesj-1638	286	2	artificial	artificial	ADJ
cuesj-1638	286	3	intelligence	intelligence	NOUN
cuesj-1638	286	4	and	and	CCONJ
cuesj-1638	286	5	statistical	statistical	ADJ
cuesj-1638	286	6	methods	method	NOUN
cuesj-1638	286	7	for	for	ADP
cuesj-1638	286	8	electric	electric	ADJ
cuesj-1638	286	9	load	load	NOUN
cuesj-1638	286	10	forecasting	forecasting	NOUN
cuesj-1638	286	11	.	.	PUNCT
cuesj-1638	287	1	international	international	ADJ
cuesj-1638	287	2	journal	journal	NOUN
cuesj-1638	287	3	of	of	ADP
cuesj-1638	287	4	innovations	innovation	NOUN
cuesj-1638	287	5	in	in	ADP
cuesj-1638	287	6	science	science	NOUN
cuesj-1638	287	7	and	and	CCONJ
cuesj-1638	287	8	technology	technology	NOUN
cuesj-1638	287	9	,	,	PUNCT
cuesj-1638	287	10	vol	vol	NOUN
cuesj-1638	287	11	.	.	PROPN
cuesj-1638	288	1	3	3	NUM
cuesj-1638	288	2	,	,	PUNCT
cuesj-1638	288	3	no	no	INTJ
cuesj-1638	288	4	.	.	NOUN
cuesj-1638	288	5	5	5	NUM
cuesj-1638	288	6	,	,	PUNCT
cuesj-1638	288	7	pp	pp	ADJ
cuesj-1638	288	8	.	.	PUNCT
cuesj-1638	289	1	59	59	NUM
cuesj-1638	289	2	-	-	SYM
cuesj-1638	289	3	83	83	NUM
cuesj-1638	289	4	,	,	PUNCT
cuesj-1638	289	5	2022	2022	NUM
cuesj-1638	289	6	.	.	PUNCT
cuesj-1638	290	1	17	17	NUM
cuesj-1638	290	2	.	.	PUNCT
cuesj-1638	291	1	o.	o.	PROPN
cuesj-1638	291	2	m.	m.	PROPN
cuesj-1638	291	3	al	al	PROPN
cuesj-1638	291	4	-	-	PUNCT
cuesj-1638	291	5	zawbaee	zawbaee	PROPN
cuesj-1638	291	6	and	and	CCONJ
cuesj-1638	291	7	n.	n.	PROPN
cuesj-1638	291	8	h.	h.	PROPN
cuesj-1638	291	9	mahmood	mahmood	PROPN
cuesj-1638	291	10	.	.	PUNCT
cuesj-1638	292	1	building	build	VERB
cuesj-1638	292	2	an	an	DET
cuesj-1638	292	3	efficient	efficient	ADJ
cuesj-1638	292	4	model	model	NOUN
cuesj-1638	292	5	by	by	ADP
cuesj-1638	292	6	using	use	VERB
cuesj-1638	292	7	panel	panel	NOUN
cuesj-1638	292	8	data	datum	NOUN
cuesj-1638	292	9	.	.	PUNCT
cuesj-1638	293	1	cihan	cihan	VERB
cuesj-1638	293	2	university	university	NOUN
cuesj-1638	293	3	-	-	PUNCT
cuesj-1638	293	4	erbil	erbil	PROPN
cuesj-1638	293	5	journal	journal	PROPN
cuesj-1638	293	6	of	of	ADP
cuesj-1638	293	7	humanities	humanity	NOUN
cuesj-1638	293	8	and	and	CCONJ
cuesj-1638	293	9	social	social	ADJ
cuesj-1638	293	10	sciences	science	NOUN
cuesj-1638	293	11	,	,	PUNCT
cuesj-1638	293	12	vol	vol	NOUN
cuesj-1638	293	13	.	.	PROPN
cuesj-1638	294	1	7	7	NUM
cuesj-1638	294	2	,	,	PUNCT
cuesj-1638	294	3	no	no	INTJ
cuesj-1638	294	4	.	.	NOUN
cuesj-1638	294	5	1	1	NUM
cuesj-1638	294	6	,	,	PUNCT
cuesj-1638	294	7	pp	pp	ADJ
cuesj-1638	294	8	.	.	PUNCT
cuesj-1638	295	1	82	82	NUM
cuesj-1638	295	2	-	-	SYM
cuesj-1638	295	3	87	87	NUM
cuesj-1638	295	4	,	,	PUNCT
cuesj-1638	295	5	2023	2023	NUM
cuesj-1638	295	6	.	.	PUNCT
cuesj-1638	296	1	18	18	NUM
cuesj-1638	296	2	.	.	PUNCT
cuesj-1638	296	3	n.	n.	PROPN
cuesj-1638	296	4	hussen	hussen	PROPN
cuesj-1638	296	5	mahmood	mahmood	PROPN
cuesj-1638	296	6	,	,	PUNCT
cuesj-1638	296	7	d.	d.	PROPN
cuesj-1638	296	8	hussen	hussen	PROPN
cuesj-1638	296	9	kadir	kadir	PROPN
cuesj-1638	296	10	and	and	CCONJ
cuesj-1638	296	11	o.	o.	PROPN
cuesj-1638	296	12	m.	m.	PROPN
cuesj-1638	296	13	m.	m.	PROPN
cuesj-1638	296	14	alzawbaee	alzawbaee	PROPN
cuesj-1638	296	15	.	.	PUNCT
cuesj-1638	297	1	building	build	VERB
cuesj-1638	297	2	a	a	DET
cuesj-1638	297	3	statistical	statistical	ADJ
cuesj-1638	297	4	model	model	NOUN
cuesj-1638	297	5	to	to	PART
cuesj-1638	297	6	forecast	forecast	VERB
cuesj-1638	297	7	traffic	traffic	NOUN
cuesj-1638	297	8	accidents	accident	NOUN
cuesj-1638	297	9	for	for	ADP
cuesj-1638	297	10	death	death	NOUN
cuesj-1638	297	11	and	and	CCONJ
cuesj-1638	297	12	injuries	injury	NOUN
cuesj-1638	297	13	by	by	ADP
cuesj-1638	297	14	using	use	VERB
cuesj-1638	297	15	bivariate	bivariate	ADJ
cuesj-1638	297	16	time	time	NOUN
cuesj-1638	297	17	series	series	NOUN
cuesj-1638	297	18	analysis	analysis	NOUN
cuesj-1638	297	19	.	.	PUNCT
cuesj-1638	298	1	zanco	zanco	PROPN
cuesj-1638	298	2	journal	journal	PROPN
cuesj-1638	298	3	of	of	ADP
cuesj-1638	298	4	humanity	humanity	NOUN
cuesj-1638	298	5	sciences	science	NOUN
cuesj-1638	298	6	,	,	PUNCT
cuesj-1638	298	7	vol	vol	NOUN
cuesj-1638	298	8	.	.	PROPN
cuesj-1638	298	9	28	28	NUM
cuesj-1638	298	10	,	,	PUNCT
cuesj-1638	298	11	no	no	INTJ
cuesj-1638	298	12	.	.	NOUN
cuesj-1638	298	13	1	1	NUM
cuesj-1638	298	14	,	,	PUNCT
cuesj-1638	298	15	pp	pp	ADJ
cuesj-1638	298	16	.	.	PUNCT
cuesj-1638	299	1	278	278	NUM
cuesj-1638	299	2	-	-	SYM
cuesj-1638	299	3	289	289	NUM
cuesj-1638	299	4	,	,	PUNCT
cuesj-1638	299	5	2024	2024	NUM
cuesj-1638	299	6	.	.	PUNCT
cuesj-1638	300	1	19	19	NUM
cuesj-1638	300	2	.	.	PUNCT
cuesj-1638	300	3	k.	k.	PROPN
cuesj-1638	300	4	w.	w.	PROPN
cuesj-1638	300	5	yu	yu	PROPN
cuesj-1638	300	6	,	,	PUNCT
cuesj-1638	300	7	c.	c.	PROPN
cuesj-1638	300	8	h.	h.	PROPN
cuesj-1638	300	9	hsu	hsu	PROPN
cuesj-1638	300	10	and	and	CCONJ
cuesj-1638	300	11	s.	s.	PROPN
cuesj-1638	300	12	m.	m.	PROPN
cuesj-1638	300	13	yang	yang	PROPN
cuesj-1638	300	14	.	.	PUNCT
cuesj-1638	301	1	a	a	DET
cuesj-1638	301	2	model	model	NOUN
cuesj-1638	301	3	integrating	integrate	VERB
cuesj-1638	301	4	arima	arima	PROPN
cuesj-1638	301	5	and	and	CCONJ
cuesj-1638	301	6	ann	ann	PROPN
cuesj-1638	301	7	with	with	ADP
cuesj-1638	301	8	seasonal	seasonal	ADJ
cuesj-1638	301	9	and	and	CCONJ
cuesj-1638	301	10	periodic	periodic	ADJ
cuesj-1638	301	11	characteristics	characteristic	NOUN
cuesj-1638	301	12	for	for	ADP
cuesj-1638	301	13	forecasting	forecast	VERB
cuesj-1638	301	14	electricity	electricity	NOUN
cuesj-1638	301	15	load	load	NOUN
cuesj-1638	301	16	dynamics	dynamic	NOUN
cuesj-1638	301	17	in	in	ADP
cuesj-1638	301	18	a	a	DET
cuesj-1638	301	19	state	state	NOUN
cuesj-1638	301	20	.	.	PUNCT
cuesj-1638	302	1	in	in	ADP
cuesj-1638	302	2	:	:	PUNCT
cuesj-1638	302	3	proceedings	proceeding	NOUN
cuesj-1638	302	4	of	of	ADP
cuesj-1638	302	5	the	the	DET
cuesj-1638	302	6	2019	2019	NUM
cuesj-1638	302	7	ieee	ieee	NOUN
cuesj-1638	302	8	6th	6th	ADJ
cuesj-1638	302	9	international	international	ADJ
cuesj-1638	302	10	conference	conference	NOUN
cuesj-1638	302	11	on	on	ADP
cuesj-1638	302	12	energy	energy	NOUN
cuesj-1638	302	13	smart	smart	ADJ
cuesj-1638	302	14	systems	system	NOUN
cuesj-1638	302	15	,	,	PUNCT
cuesj-1638	302	16	2019	2019	NUM
cuesj-1638	302	17	.	.	PUNCT
cuesj-1638	303	1	20	20	NUM
cuesj-1638	303	2	.	.	PUNCT
cuesj-1638	303	3	a.	a.	PROPN
cuesj-1638	303	4	a.	a.	PROPN
cuesj-1638	303	5	kindo	kindo	PROPN
cuesj-1638	303	6	,	,	PUNCT
cuesj-1638	303	7	g.	g.	PROPN
cuesj-1638	303	8	kaladzavi	kaladzavi	PROPN
cuesj-1638	303	9	,	,	PUNCT
cuesj-1638	303	10	s.	s.	PROPN
cuesj-1638	303	11	malo	malo	PROPN
cuesj-1638	303	12	,	,	PUNCT
cuesj-1638	303	13	g.	g.	PROPN
cuesj-1638	303	14	camara	camara	PROPN
cuesj-1638	303	15	,	,	PUNCT
cuesj-1638	303	16	t.	t.	PROPN
cuesj-1638	303	17	marie	marie	PROPN
cuesj-1638	303	18	and	and	CCONJ
cuesj-1638	303	19	n.	n.	PROPN
cuesj-1638	303	20	kolyang	kolyang	PROPN
cuesj-1638	303	21	.	.	PUNCT
cuesj-1638	304	1	fuzzy	fuzzy	ADJ
cuesj-1638	304	2	logic	logic	NOUN
cuesj-1638	304	3	approach	approach	NOUN
cuesj-1638	304	4	for	for	ADP
cuesj-1638	304	5	knowledge	knowledge	NOUN
cuesj-1638	304	6	modeling	modeling	NOUN
cuesj-1638	304	7	in	in	ADP
cuesj-1638	304	8	an	an	DET
cuesj-1638	304	9	ontology	ontology	NOUN
cuesj-1638	304	10	:	:	PUNCT
cuesj-1638	304	11	a	a	DET
cuesj-1638	304	12	review	review	NOUN
cuesj-1638	304	13	.	.	PUNCT
cuesj-1638	305	1	in	in	ADP
cuesj-1638	305	2	:	:	PUNCT
cuesj-1638	305	3	ieee	ieee	PROPN
cuesj-1638	305	4	2nd	2nd	PROPN
cuesj-1638	305	5	international	international	ADJ
cuesj-1638	305	6	conference	conference	NOUN
cuesj-1638	305	7	on	on	ADP
cuesj-1638	305	8	smart	smart	ADJ
cuesj-1638	305	9	,	,	PUNCT
cuesj-1638	305	10	pp	pp	ADJ
cuesj-1638	305	11	.	.	PUNCT
cuesj-1638	306	1	1	1	NUM
cuesj-1638	306	2	-	-	SYM
cuesj-1638	306	3	8	8	NUM
cuesj-1638	306	4	,	,	PUNCT
cuesj-1638	306	5	2020	2020	NUM
cuesj-1638	306	6	.	.	PUNCT
cuesj-1638	307	1	21	21	NUM
cuesj-1638	307	2	.	.	PUNCT
cuesj-1638	307	3	b.	b.	PROPN
cuesj-1638	307	4	k.	k.	PROPN
cuesj-1638	307	5	chauhan	chauhan	PROPN
cuesj-1638	307	6	and	and	CCONJ
cuesj-1638	307	7	p.	p.	PROPN
cuesj-1638	307	8	k.	k.	PROPN
cuesj-1638	308	1	shukla	shukla	PROPN
cuesj-1638	308	2	.	.	PUNCT
cuesj-1638	309	1	electric	electric	ADJ
cuesj-1638	309	2	load	load	NOUN
cuesj-1638	309	3	forecasting	forecasting	NOUN
cuesj-1638	309	4	using	use	VERB
cuesj-1638	309	5	fuzzy	fuzzy	ADJ
cuesj-1638	309	6	knowledge	knowledge	NOUN
cuesj-1638	309	7	base	base	NOUN
cuesj-1638	309	8	system	system	NOUN
cuesj-1638	309	9	with	with	ADP
cuesj-1638	309	10	improved	improved	ADJ
cuesj-1638	309	11	accuracy	accuracy	NOUN
cuesj-1638	309	12	.	.	PUNCT
cuesj-1638	310	1	intelligent	intelligent	ADJ
cuesj-1638	310	2	learning	learning	NOUN
cuesj-1638	310	3	for	for	ADP
cuesj-1638	310	4	computer	computer	NOUN
cuesj-1638	310	5	vision	vision	NOUN
cuesj-1638	310	6	.	.	PUNCT
cuesj-1638	311	1	springer	springer	NOUN
cuesj-1638	311	2	nature	nature	PROPN
cuesj-1638	311	3	,	,	PUNCT
cuesj-1638	311	4	germany	germany	PROPN
cuesj-1638	311	5	,	,	PUNCT
cuesj-1638	311	6	pp	pp	ADP
cuesj-1638	311	7	.	.	PUNCT
cuesj-1638	312	1	259	259	NUM
cuesj-1638	312	2	-	-	SYM
cuesj-1638	312	3	273	273	NUM
cuesj-1638	312	4	,	,	PUNCT
cuesj-1638	312	5	2021	2021	NUM
cuesj-1638	312	6	.	.	PUNCT
cuesj-1638	313	1	22	22	NUM
cuesj-1638	313	2	.	.	PUNCT
cuesj-1638	314	1	d.	d.	PROPN
cuesj-1638	314	2	v.	v.	PROPN
cuesj-1638	314	3	n.	n.	PROPN
cuesj-1638	314	4	ananth	ananth	PROPN
cuesj-1638	314	5	,	,	PUNCT
cuesj-1638	314	6	l.	l.	PROPN
cuesj-1638	314	7	v.	v.	PROPN
cuesj-1638	314	8	s.	s.	PROPN
cuesj-1638	314	9	kumar	kumar	PROPN
cuesj-1638	314	10	,	,	PUNCT
cuesj-1638	314	11	t.	t.	PROPN
cuesj-1638	314	12	s.	s.	PROPN
cuesj-1638	314	13	gorripotu	gorripotu	PROPN
cuesj-1638	314	14	and	and	CCONJ
cuesj-1638	314	15	a.	a.	PROPN
cuesj-1638	314	16	t.	t.	PROPN
cuesj-1638	314	17	azar	azar	PROPN
cuesj-1638	314	18	.	.	PUNCT
cuesj-1638	315	1	design	design	NOUN
cuesj-1638	315	2	of	of	ADP
cuesj-1638	315	3	a	a	DET
cuesj-1638	315	4	fuzzy	fuzzy	ADJ
cuesj-1638	315	5	logic	logic	NOUN
cuesj-1638	315	6	controller	controller	NOUN
cuesj-1638	315	7	for	for	ADP
cuesj-1638	315	8	short	short	ADJ
cuesj-1638	315	9	-	-	PUNCT
cuesj-1638	315	10	term	term	NOUN
cuesj-1638	315	11	load	load	NOUN
cuesj-1638	315	12	forecasting	forecasting	NOUN
cuesj-1638	315	13	with	with	ADP
cuesj-1638	315	14	randomly	randomly	ADV
cuesj-1638	315	15	varying	vary	VERB
cuesj-1638	315	16	load	load	NOUN
cuesj-1638	315	17	.	.	PUNCT
cuesj-1638	316	1	international	international	ADJ
cuesj-1638	316	2	journal	journal	PROPN
cuesj-1638	316	3	of	of	ADP
cuesj-1638	316	4	sociotechnology	sociotechnology	NOUN
cuesj-1638	316	5	and	and	CCONJ
cuesj-1638	316	6	knowledge	knowledge	NOUN
cuesj-1638	316	7	development	development	NOUN
cuesj-1638	316	8	,	,	PUNCT
cuesj-1638	316	9	vol	vol	NOUN
cuesj-1638	316	10	.	.	PROPN
cuesj-1638	316	11	13	13	NUM
cuesj-1638	316	12	,	,	PUNCT
cuesj-1638	316	13	no	no	INTJ
cuesj-1638	316	14	.	.	NOUN
cuesj-1638	316	15	4	4	NUM
cuesj-1638	316	16	,	,	PUNCT
cuesj-1638	316	17	pp	pp	ADJ
cuesj-1638	316	18	.	.	PUNCT
cuesj-1638	317	1	32	32	NUM
cuesj-1638	317	2	-	-	SYM
cuesj-1638	317	3	49	49	NUM
cuesj-1638	317	4	,	,	PUNCT
cuesj-1638	317	5	2021	2021	NUM
cuesj-1638	317	6	.	.	PUNCT
cuesj-1638	318	1	23	23	NUM
cuesj-1638	318	2	.	.	PUNCT
cuesj-1638	318	3	a.	a.	NOUN
cuesj-1638	318	4	t.	t.	PROPN
cuesj-1638	318	5	nguyen	nguyen	PROPN
cuesj-1638	318	6	,	,	PUNCT
cuesj-1638	318	7	t.	t.	PROPN
cuesj-1638	318	8	taniguchi	taniguchi	PROPN
cuesj-1638	318	9	,	,	PUNCT
cuesj-1638	318	10	l.	l.	PROPN
cuesj-1638	318	11	eciolaza	eciolaza	PROPN
cuesj-1638	318	12	,	,	PUNCT
cuesj-1638	318	13	v.	v.	PROPN
cuesj-1638	318	14	campos	campos	PROPN
cuesj-1638	318	15	,	,	PUNCT
cuesj-1638	318	16	r.	r.	PROPN
cuesj-1638	318	17	palhares	palhares	PROPN
cuesj-1638	318	18	and	and	CCONJ
cuesj-1638	318	19	m.	m.	NOUN
cuesj-1638	318	20	sugeno	sugeno	PROPN
cuesj-1638	318	21	.	.	PUNCT
cuesj-1638	319	1	fuzzy	fuzzy	ADJ
cuesj-1638	319	2	control	control	NOUN
cuesj-1638	319	3	systems	system	NOUN
cuesj-1638	319	4	:	:	PUNCT
cuesj-1638	319	5	past	past	ADJ
cuesj-1638	319	6	,	,	PUNCT
cuesj-1638	319	7	present	present	ADJ
cuesj-1638	319	8	and	and	CCONJ
cuesj-1638	319	9	future	future	NOUN
cuesj-1638	319	10	.	.	PUNCT
cuesj-1638	320	1	ieee	ieee	PROPN
cuesj-1638	320	2	computational	computational	PROPN
cuesj-1638	320	3	intelligence	intelligence	PROPN
cuesj-1638	320	4	magazine	magazine	NOUN
cuesj-1638	320	5	,	,	PUNCT
cuesj-1638	320	6	vol	vol	NOUN
cuesj-1638	320	7	.	.	PROPN
cuesj-1638	320	8	14	14	NUM
cuesj-1638	320	9	,	,	PUNCT
cuesj-1638	320	10	no	no	INTJ
cuesj-1638	320	11	.	.	NOUN
cuesj-1638	320	12	1	1	NUM
cuesj-1638	320	13	,	,	PUNCT
cuesj-1638	320	14	pp	pp	ADJ
cuesj-1638	320	15	.	.	PUNCT
cuesj-1638	321	1	56	56	NUM
cuesj-1638	321	2	-	-	SYM
cuesj-1638	321	3	68	68	NUM
cuesj-1638	321	4	,	,	PUNCT
cuesj-1638	321	5	2019	2019	NUM
cuesj-1638	321	6	.	.	PUNCT
cuesj-1638	322	1	24	24	NUM
cuesj-1638	322	2	.	.	PUNCT
cuesj-1638	322	3	y.	y.	PROPN
cuesj-1638	322	4	bai	bai	PROPN
cuesj-1638	322	5	,	,	PUNCT
cuesj-1638	322	6	b.	b.	PROPN
cuesj-1638	322	7	yan	yan	PROPN
cuesj-1638	322	8	,	,	PUNCT
cuesj-1638	322	9	c.	c.	PROPN
cuesj-1638	322	10	zhou	zhou	PROPN
cuesj-1638	322	11	,	,	PUNCT
cuesj-1638	322	12	t.	t.	PROPN
cuesj-1638	322	13	su	su	PROPN
cuesj-1638	322	14	and	and	CCONJ
cuesj-1638	322	15	x.	x.	PROPN
cuesj-1638	322	16	jin	jin	PROPN
cuesj-1638	322	17	.	.	PUNCT
cuesj-1638	323	1	state	state	NOUN
cuesj-1638	323	2	of	of	ADP
cuesj-1638	323	3	art	art	NOUN
cuesj-1638	323	4	on	on	ADP
cuesj-1638	323	5	state	state	NOUN
cuesj-1638	323	6	yahya	yahya	PROPN
cuesj-1638	323	7	and	and	CCONJ
cuesj-1638	323	8	mawlood	mawlood	NOUN
cuesj-1638	323	9	:	:	PUNCT
cuesj-1638	323	10	a	a	DET
cuesj-1638	323	11	hybrid	hybrid	ADJ
cuesj-1638	323	12	fuzzy	fuzzy	ADJ
cuesj-1638	323	13	-	-	PUNCT
cuesj-1638	323	14	kalman	kalman	NOUN
cuesj-1638	323	15	filtering	filtering	NOUN
cuesj-1638	323	16	for	for	ADP
cuesj-1638	323	17	short	short	ADJ
cuesj-1638	323	18	-	-	PUNCT
cuesj-1638	323	19	term	term	NOUN
cuesj-1638	323	20	electricity	electricity	NOUN
cuesj-1638	323	21	load	load	NOUN
cuesj-1638	323	22	124	124	NUM
cuesj-1638	323	23	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1638	323	24	cuesj	cuesj	NOUN
cuesj-1638	323	25	2025	2025	NUM
cuesj-1638	323	26	,	,	PUNCT
cuesj-1638	323	27	9	9	NUM
cuesj-1638	323	28	(	(	PUNCT
cuesj-1638	323	29	2	2	NUM
cuesj-1638	323	30	):	):	PUNCT
cuesj-1638	323	31	117	117	NUM
cuesj-1638	323	32	-	-	SYM
cuesj-1638	323	33	124	124	NUM
cuesj-1638	323	34	estimation	estimation	NOUN
cuesj-1638	323	35	:	:	PUNCT
cuesj-1638	323	36	kalman	kalman	NOUN
cuesj-1638	323	37	filter	filter	NOUN
cuesj-1638	323	38	driven	drive	VERB
cuesj-1638	323	39	by	by	ADP
cuesj-1638	323	40	machine	machine	NOUN
cuesj-1638	323	41	learning	learning	NOUN
cuesj-1638	323	42	.	.	PUNCT
cuesj-1638	324	1	annual	annual	ADJ
cuesj-1638	324	2	reviews	review	NOUN
cuesj-1638	324	3	in	in	ADP
cuesj-1638	324	4	control	control	NOUN
cuesj-1638	324	5	,	,	PUNCT
cuesj-1638	324	6	vol	vol	NOUN
cuesj-1638	324	7	.	.	PROPN
cuesj-1638	324	8	56	56	NUM
cuesj-1638	324	9	,	,	PUNCT
cuesj-1638	324	10	pp	pp	ADJ
cuesj-1638	324	11	.	.	PUNCT
cuesj-1638	325	1	100909	100909	NUM
cuesj-1638	325	2	-	-	SYM
cuesj-1638	325	3	100909	100909	NUM
cuesj-1638	325	4	,	,	PUNCT
cuesj-1638	325	5	2023	2023	NUM
cuesj-1638	325	6	.	.	PUNCT
cuesj-1638	326	1	25	25	NUM
cuesj-1638	326	2	.	.	PUNCT
cuesj-1638	327	1	h.	h.	PROPN
cuesj-1638	327	2	h.	h.	PROPN
cuesj-1638	327	3	afshari	afshari	PROPN
cuesj-1638	327	4	,	,	PUNCT
cuesj-1638	327	5	s.	s.	PROPN
cuesj-1638	327	6	a.	a.	PROPN
cuesj-1638	327	7	gadsden	gadsden	PROPN
cuesj-1638	327	8	and	and	CCONJ
cuesj-1638	327	9	s.	s.	PROPN
cuesj-1638	327	10	habibi	habibi	PROPN
cuesj-1638	327	11	.	.	PUNCT
cuesj-1638	328	1	gaussian	gaussian	ADJ
cuesj-1638	328	2	filters	filter	NOUN
cuesj-1638	328	3	for	for	ADP
cuesj-1638	328	4	parameter	parameter	NOUN
cuesj-1638	328	5	and	and	CCONJ
cuesj-1638	328	6	state	state	NOUN
cuesj-1638	328	7	estimation	estimation	NOUN
cuesj-1638	328	8	:	:	PUNCT
cuesj-1638	328	9	a	a	DET
cuesj-1638	328	10	general	general	ADJ
cuesj-1638	328	11	review	review	NOUN
cuesj-1638	328	12	of	of	ADP
cuesj-1638	328	13	theory	theory	NOUN
cuesj-1638	328	14	and	and	CCONJ
cuesj-1638	328	15	recent	recent	ADJ
cuesj-1638	328	16	trends	trend	NOUN
cuesj-1638	328	17	.	.	PUNCT
cuesj-1638	329	1	signal	signal	ADJ
cuesj-1638	329	2	processing	processing	NOUN
cuesj-1638	329	3	,	,	PUNCT
cuesj-1638	329	4	vol	vol	NOUN
cuesj-1638	329	5	.	.	PROPN
cuesj-1638	329	6	135	135	NUM
cuesj-1638	329	7	,	,	PUNCT
cuesj-1638	329	8	pp	pp	ADJ
cuesj-1638	329	9	.	.	PUNCT
cuesj-1638	330	1	218	218	NUM
cuesj-1638	330	2	-	-	SYM
cuesj-1638	330	3	238	238	NUM
cuesj-1638	330	4	,	,	PUNCT
cuesj-1638	330	5	2017	2017	NUM
cuesj-1638	330	6	.	.	PUNCT
cuesj-1638	331	1	26	26	NUM
cuesj-1638	331	2	.	.	PUNCT
cuesj-1638	332	1	p.	p.	NOUN
cuesj-1638	332	2	s.	s.	PROPN
cuesj-1638	332	3	madhukar	madhukar	PROPN
cuesj-1638	332	4	and	and	CCONJ
cuesj-1638	332	5	l.	l.	PROPN
cuesj-1638	332	6	b.	b.	PROPN
cuesj-1638	332	7	prasad	prasad	PROPN
cuesj-1638	332	8	.	.	PUNCT
cuesj-1638	333	1	state	state	NOUN
cuesj-1638	333	2	estimation	estimation	NOUN
cuesj-1638	333	3	using	use	VERB
cuesj-1638	333	4	extended	extended	ADJ
cuesj-1638	333	5	kalman	kalman	NOUN
cuesj-1638	333	6	filter	filter	NOUN
cuesj-1638	333	7	and	and	CCONJ
cuesj-1638	333	8	unscented	unscente	VERB
cuesj-1638	333	9	kalman	kalman	PROPN
cuesj-1638	333	10	filter	filter	NOUN
cuesj-1638	333	11	.	.	PUNCT
cuesj-1638	334	1	in	in	ADP
cuesj-1638	334	2	:	:	PUNCT
cuesj-1638	334	3	2020	2020	NUM
cuesj-1638	334	4	international	international	ADJ
cuesj-1638	334	5	conference	conference	NOUN
cuesj-1638	334	6	on	on	ADP
cuesj-1638	334	7	emerging	emerge	VERB
cuesj-1638	334	8	trends	trend	NOUN
cuesj-1638	334	9	in	in	ADP
cuesj-1638	334	10	communication	communication	NOUN
cuesj-1638	334	11	,	,	PUNCT
cuesj-1638	334	12	control	control	NOUN
cuesj-1638	334	13	and	and	CCONJ
cuesj-1638	334	14	computing	computing	NOUN
cuesj-1638	334	15	(	(	PUNCT
cuesj-1638	334	16	iconc3	iconc3	PROPN
cuesj-1638	334	17	)	)	PUNCT
cuesj-1638	334	18	,	,	PUNCT
cuesj-1638	334	19	pp	pp	ADP
cuesj-1638	334	20	.	.	PUNCT
cuesj-1638	335	1	1	1	NUM
cuesj-1638	335	2	-	-	SYM
cuesj-1638	335	3	4	4	NUM
cuesj-1638	335	4	,	,	PUNCT
cuesj-1638	335	5	2020	2020	NUM
cuesj-1638	335	6	.	.	PUNCT
cuesj-1638	336	1	27	27	NUM
cuesj-1638	336	2	.	.	PUNCT
cuesj-1638	337	1	z.	z.	PROPN
cuesj-1638	337	2	li	li	PROPN
cuesj-1638	337	3	,	,	PUNCT
cuesj-1638	337	4	w.	w.	PROPN
cuesj-1638	337	5	yang	yang	PROPN
cuesj-1638	337	6	and	and	CCONJ
cuesj-1638	337	7	d.	d.	PROPN
cuesj-1638	337	8	ding	ding	PROPN
cuesj-1638	337	9	.	.	PUNCT
cuesj-1638	338	1	time	time	NOUN
cuesj-1638	338	2	-	-	PUNCT
cuesj-1638	338	3	varying	vary	VERB
cuesj-1638	338	4	noise	noise	NOUN
cuesj-1638	338	5	statistic	statistic	NOUN
cuesj-1638	338	6	estimator	estimator	NOUN
cuesj-1638	338	7	based	base	VERB
cuesj-1638	338	8	adaptive	adaptive	ADJ
cuesj-1638	338	9	simplex	simplex	NOUN
cuesj-1638	338	10	cubature	cubature	NOUN
cuesj-1638	338	11	kalman	kalman	PROPN
cuesj-1638	338	12	filter	filter	PROPN
cuesj-1638	338	13	.	.	PUNCT
cuesj-1638	339	1	mathematical	mathematical	ADJ
cuesj-1638	339	2	problems	problem	NOUN
cuesj-1638	339	3	in	in	ADP
cuesj-1638	339	4	engineering	engineering	NOUN
cuesj-1638	339	5	,	,	PUNCT
cuesj-1638	339	6	vol	vol	NOUN
cuesj-1638	339	7	.	.	PROPN
cuesj-1638	339	8	2017	2017	NUM
cuesj-1638	339	9	,	,	PUNCT
cuesj-1638	339	10	no	no	INTJ
cuesj-1638	339	11	.	.	NOUN
cuesj-1638	339	12	1	1	NUM
cuesj-1638	339	13	,	,	PUNCT
cuesj-1638	339	14	pp	pp	ADJ
cuesj-1638	339	15	.	.	PUNCT
cuesj-1638	340	1	1	1	NUM
cuesj-1638	340	2	-	-	SYM
cuesj-1638	340	3	8	8	NUM
cuesj-1638	340	4	,	,	PUNCT
cuesj-1638	340	5	2017	2017	NUM
cuesj-1638	340	6	.	.	PUNCT
cuesj-1638	341	1	28	28	NUM
cuesj-1638	341	2	.	.	PUNCT
cuesj-1638	342	1	s.	s.	PROPN
cuesj-1638	342	2	akhlaghi	akhlaghi	PROPN
cuesj-1638	342	3	,	,	PUNCT
cuesj-1638	342	4	n.	n.	PROPN
cuesj-1638	342	5	zhou	zhou	PROPN
cuesj-1638	342	6	and	and	CCONJ
cuesj-1638	342	7	z.	z.	PROPN
cuesj-1638	342	8	huang	huang	PROPN
cuesj-1638	342	9	.	.	PROPN
cuesj-1638	343	1	adaptive	adaptive	PROPN
cuesj-1638	343	2	adjustment	adjustment	NOUN
cuesj-1638	343	3	of	of	ADP
cuesj-1638	343	4	noise	noise	NOUN
cuesj-1638	343	5	covariance	covariance	NOUN
cuesj-1638	343	6	in	in	ADP
cuesj-1638	343	7	kalman	kalman	PROPN
cuesj-1638	343	8	filter	filter	PROPN
cuesj-1638	343	9	for	for	ADP
cuesj-1638	343	10	dynamic	dynamic	ADJ
cuesj-1638	343	11	state	state	NOUN
cuesj-1638	343	12	estimation	estimation	NOUN
cuesj-1638	343	13	.	.	PUNCT
cuesj-1638	344	1	in	in	ADP
cuesj-1638	344	2	:	:	PUNCT
cuesj-1638	344	3	power	power	NOUN
cuesj-1638	344	4	and	and	CCONJ
cuesj-1638	344	5	energy	energy	NOUN
cuesj-1638	344	6	society	society	NOUN
cuesj-1638	344	7	general	general	ADJ
cuesj-1638	344	8	meeting	meeting	NOUN
cuesj-1638	344	9	,	,	PUNCT
cuesj-1638	344	10	2017	2017	NUM
cuesj-1638	344	11	.	.	PUNCT
cuesj-1638	344	12	29	29	NUM
cuesj-1638	344	13	.	.	PUNCT
cuesj-1638	344	14	h.	h.	PROPN
cuesj-1638	344	15	bai	bai	PROPN
cuesj-1638	344	16	and	and	CCONJ
cuesj-1638	344	17	c.	c.	PROPN
cuesj-1638	344	18	n.	n.	PROPN
cuesj-1638	344	19	taylor	taylor	PROPN
cuesj-1638	344	20	.	.	PUNCT
cuesj-1638	345	1	a	a	DET
cuesj-1638	345	2	variational	variational	ADJ
cuesj-1638	345	3	bayesian	bayesian	NOUN
cuesj-1638	345	4	approach	approach	NOUN
cuesj-1638	345	5	for	for	ADP
cuesj-1638	345	6	estimating	estimate	VERB
cuesj-1638	345	7	system	system	NOUN
cuesj-1638	345	8	parameters	parameter	NOUN
cuesj-1638	345	9	and	and	CCONJ
cuesj-1638	345	10	process	process	NOUN
cuesj-1638	345	11	noise	noise	NOUN
cuesj-1638	345	12	.	.	PUNCT
cuesj-1638	346	1	in	in	ADP
cuesj-1638	346	2	:	:	PUNCT
cuesj-1638	346	3	ieee	ieee	PROPN
cuesj-1638	346	4	23rd	23rd	ADJ
cuesj-1638	346	5	international	international	ADJ
cuesj-1638	346	6	conference	conference	NOUN
cuesj-1638	346	7	on	on	ADP
cuesj-1638	346	8	information	information	NOUN
cuesj-1638	346	9	fusion	fusion	NOUN
cuesj-1638	346	10	,	,	PUNCT
cuesj-1638	346	11	pp	pp	ADJ
cuesj-1638	346	12	.	.	PUNCT
cuesj-1638	347	1	1	1	NUM
cuesj-1638	347	2	-	-	SYM
cuesj-1638	347	3	7	7	NUM
cuesj-1638	347	4	,	,	PUNCT
cuesj-1638	347	5	2020	2020	NUM
cuesj-1638	347	6	.	.	PUNCT
cuesj-1638	348	1	30	30	NUM
cuesj-1638	348	2	.	.	PUNCT
cuesj-1638	349	1	p.	p.	NOUN
cuesj-1638	349	2	b.	b.	PROPN
cuesj-1638	350	1	sreeharsha	sreeharsha	PROPN
cuesj-1638	350	2	and	and	CCONJ
cuesj-1638	350	3	v.	v.	PROPN
cuesj-1638	350	4	r.	r.	PROPN
cuesj-1638	350	5	devanaboyina	devanaboyina	PROPN
cuesj-1638	350	6	.	.	PUNCT
cuesj-1638	351	1	fuzzy	fuzzy	ADJ
cuesj-1638	351	2	logic	logic	NOUN
cuesj-1638	351	3	-	-	PUNCT
cuesj-1638	351	4	based	base	VERB
cuesj-1638	351	5	adaptive	adaptive	ADJ
cuesj-1638	351	6	extended	extended	ADJ
cuesj-1638	351	7	kalman	kalman	NOUN
cuesj-1638	351	8	filter	filter	NOUN
cuesj-1638	351	9	algorithm	algorithm	NOUN
cuesj-1638	351	10	for	for	ADP
cuesj-1638	351	11	gnss	gnss	NOUN
cuesj-1638	351	12	receivers	receiver	NOUN
cuesj-1638	351	13	.	.	PUNCT
cuesj-1638	352	1	defence	defence	NOUN
cuesj-1638	352	2	science	science	PROPN
cuesj-1638	352	3	journal	journal	PROPN
cuesj-1638	352	4	,	,	PUNCT
cuesj-1638	352	5	vol	vol	NOUN
cuesj-1638	352	6	.	.	PROPN
cuesj-1638	352	7	68	68	NUM
cuesj-1638	352	8	,	,	PUNCT
cuesj-1638	352	9	no	no	INTJ
cuesj-1638	352	10	.	.	NOUN
cuesj-1638	352	11	6	6	NUM
cuesj-1638	352	12	,	,	PUNCT
cuesj-1638	352	13	p.	p.	NOUN
cuesj-1638	352	14	560	560	NUM
cuesj-1638	352	15	,	,	PUNCT
cuesj-1638	352	16	2018	2018	NUM
cuesj-1638	352	17	.	.	PUNCT
cuesj-1638	353	1	31	31	NUM
cuesj-1638	353	2	.	.	PUNCT
cuesj-1638	354	1	n.	n.	PROPN
cuesj-1638	354	2	nireekshana	nireekshana	PROPN
cuesj-1638	354	3	,	,	PUNCT
cuesj-1638	354	4	r.	r.	PROPN
cuesj-1638	354	5	ramachandran	ramachandran	PROPN
cuesj-1638	354	6	and	and	CCONJ
cuesj-1638	354	7	g.	g.	PROPN
cuesj-1638	354	8	v.	v.	PROPN
cuesj-1638	354	9	narayana	narayana	PROPN
cuesj-1638	354	10	.	.	PUNCT
cuesj-1638	355	1	a	a	DET
cuesj-1638	355	2	new	new	ADJ
cuesj-1638	355	3	soft	soft	ADJ
cuesj-1638	355	4	computing	compute	VERB
cuesj-1638	355	5	fuzzy	fuzzy	ADJ
cuesj-1638	355	6	logic	logic	NOUN
cuesj-1638	355	7	frequency	frequency	NOUN
cuesj-1638	355	8	regulation	regulation	NOUN
cuesj-1638	355	9	scheme	scheme	NOUN
cuesj-1638	355	10	for	for	ADP
cuesj-1638	355	11	two	two	NUM
cuesj-1638	355	12	area	area	NOUN
cuesj-1638	355	13	hybrid	hybrid	ADJ
cuesj-1638	355	14	power	power	NOUN
cuesj-1638	355	15	systems	system	NOUN
cuesj-1638	355	16	.	.	PUNCT
cuesj-1638	356	1	international	international	ADJ
cuesj-1638	356	2	journal	journal	NOUN
cuesj-1638	356	3	of	of	ADP
cuesj-1638	356	4	electrical	electrical	ADJ
cuesj-1638	356	5	and	and	CCONJ
cuesj-1638	356	6	electronics	electronic	NOUN
cuesj-1638	356	7	research	research	NOUN
cuesj-1638	356	8	,	,	PUNCT
cuesj-1638	356	9	vol	vol	NOUN
cuesj-1638	356	10	.	.	PROPN
cuesj-1638	356	11	11	11	NUM
cuesj-1638	356	12	,	,	PUNCT
cuesj-1638	356	13	no	no	INTJ
cuesj-1638	356	14	.	.	NOUN
cuesj-1638	356	15	3	3	NUM
cuesj-1638	356	16	,	,	PUNCT
cuesj-1638	356	17	pp	pp	ADJ
cuesj-1638	356	18	.	.	PUNCT
cuesj-1638	357	1	705	705	NUM
cuesj-1638	357	2	-	-	SYM
cuesj-1638	357	3	710	710	NUM
cuesj-1638	357	4	,	,	PUNCT
cuesj-1638	357	5	2023	2023	NUM
cuesj-1638	357	6	.	.	PUNCT
cuesj-1638	358	1	32	32	NUM
cuesj-1638	358	2	.	.	PUNCT
cuesj-1638	359	1	s.	s.	PROPN
cuesj-1638	359	2	mokhtari	mokhtari	PROPN
cuesj-1638	359	3	and	and	CCONJ
cuesj-1638	359	4	k.	k.	PROPN
cuesj-1638	359	5	k.	k.	PROPN
cuesj-1638	359	6	yen	yen	PROPN
cuesj-1638	359	7	.	.	PUNCT
cuesj-1638	360	1	a	a	DET
cuesj-1638	360	2	novel	novel	ADJ
cuesj-1638	360	3	bilateral	bilateral	ADJ
cuesj-1638	360	4	fuzzy	fuzzy	ADJ
cuesj-1638	360	5	adaptive	adaptive	ADJ
cuesj-1638	360	6	unscented	unscente	VERB
cuesj-1638	360	7	kalman	kalman	NOUN
cuesj-1638	360	8	filter	filter	NOUN
cuesj-1638	360	9	and	and	CCONJ
cuesj-1638	360	10	its	its	PRON
cuesj-1638	360	11	implementation	implementation	NOUN
cuesj-1638	360	12	to	to	ADP
cuesj-1638	360	13	nonlinear	nonlinear	ADJ
cuesj-1638	360	14	systems	system	NOUN
cuesj-1638	360	15	with	with	ADP
cuesj-1638	360	16	additive	additive	ADJ
cuesj-1638	360	17	noise	noise	NOUN
cuesj-1638	360	18	.	.	PUNCT
cuesj-1638	361	1	in	in	ADP
cuesj-1638	361	2	:	:	PUNCT
cuesj-1638	361	3	ieee	ieee	NOUN
cuesj-1638	361	4	industry	industry	NOUN
cuesj-1638	361	5	applications	application	NOUN
cuesj-1638	361	6	society	society	NOUN
cuesj-1638	361	7	annual	annual	ADJ
cuesj-1638	361	8	meeting	meeting	NOUN
cuesj-1638	361	9	,	,	PUNCT
cuesj-1638	361	10	pp	pp	CCONJ
cuesj-1638	361	11	.	.	PUNCT
cuesj-1638	362	1	1	1	NUM
cuesj-1638	362	2	-	-	SYM
cuesj-1638	362	3	6	6	NUM
cuesj-1638	362	4	,	,	PUNCT
cuesj-1638	362	5	2020	2020	NUM
cuesj-1638	362	6	.	.	PUNCT
cuesj-1638	363	1	33	33	NUM
cuesj-1638	363	2	.	.	PUNCT
cuesj-1638	364	1	g.	g.	PROPN
cuesj-1638	364	2	dewantoro	dewantoro	PROPN
cuesj-1638	364	3	.	.	PUNCT
cuesj-1638	365	1	optimizing	optimize	VERB
cuesj-1638	365	2	membership	membership	NOUN
cuesj-1638	365	3	function	function	NOUN
cuesj-1638	365	4	of	of	ADP
cuesj-1638	365	5	fuzzy	fuzzy	ADJ
cuesj-1638	365	6	logic	logic	NOUN
cuesj-1638	365	7	controller	controller	NOUN
cuesj-1638	365	8	via	via	ADP
cuesj-1638	365	9	orthogonal	orthogonal	ADJ
cuesj-1638	365	10	array	array	NOUN
cuesj-1638	365	11	:	:	PUNCT
cuesj-1638	365	12	a	a	DET
cuesj-1638	365	13	case	case	NOUN
cuesj-1638	365	14	study	study	NOUN
cuesj-1638	365	15	on	on	ADP
cuesj-1638	365	16	temperature	temperature	NOUN
cuesj-1638	365	17	control	control	NOUN
cuesj-1638	365	18	.	.	PUNCT
cuesj-1638	366	1	in	in	ADP
cuesj-1638	366	2	:	:	PUNCT
cuesj-1638	366	3	7th	7th	ADJ
cuesj-1638	366	4	ieee	ieee	PROPN
cuesj-1638	366	5	international	international	ADJ
cuesj-1638	366	6	conference	conference	NOUN
cuesj-1638	366	7	on	on	ADP
cuesj-1638	366	8	control	control	NOUN
cuesj-1638	366	9	system	system	NOUN
cuesj-1638	366	10	,	,	PUNCT
cuesj-1638	366	11	computing	computing	NOUN
cuesj-1638	366	12	and	and	CCONJ
cuesj-1638	366	13	engineering	engineering	NOUN
cuesj-1638	366	14	,	,	PUNCT
cuesj-1638	366	15	pp	pp	ADJ
cuesj-1638	366	16	.	.	PUNCT
cuesj-1638	367	1	192	192	NUM
cuesj-1638	367	2	-	-	SYM
cuesj-1638	367	3	197	197	NUM
cuesj-1638	367	4	,	,	PUNCT
cuesj-1638	367	5	2017	2017	NUM
cuesj-1638	367	6	.	.	PUNCT
cuesj-1638	368	1	34	34	NUM
cuesj-1638	368	2	.	.	PUNCT
cuesj-1638	369	1	o.	o.	PROPN
cuesj-1638	369	2	ibrahim	ibrahim	PROPN
cuesj-1638	369	3	,	,	PUNCT
cuesj-1638	369	4	w.	w.	PROPN
cuesj-1638	369	5	o.	o.	PROPN
cuesj-1638	369	6	owonikoko1	owonikoko1	PROPN
cuesj-1638	369	7	,	,	PUNCT
cuesj-1638	369	8	a.	a.	NOUN
cuesj-1638	369	9	abdulkarim	abdulkarim	NOUN
cuesj-1638	369	10	,	,	PUNCT
cuesj-1638	369	11	a.	a.	PROPN
cuesj-1638	369	12	o.	o.	PROPN
cuesj-1638	370	1	otuoze1	otuoze1	PROPN
cuesj-1638	370	2	,	,	PUNCT
cuesj-1638	370	3	m.	m.	NOUN
cuesj-1638	370	4	a.	a.	PROPN
cuesj-1638	370	5	afolayan	afolayan	PROPN
cuesj-1638	370	6	,	,	PUNCT
cuesj-1638	370	7	i.	i.	PROPN
cuesj-1638	370	8	s.	s.	PROPN
cuesj-1638	370	9	madugu	madugu	PROPN
cuesj-1638	370	10	,	,	PUNCT
cuesj-1638	370	11	m.	m.	PROPN
cuesj-1638	370	12	s.	s.	PROPN
cuesj-1638	370	13	bakare	bakare	PROPN
cuesj-1638	370	14	and	and	CCONJ
cuesj-1638	370	15	k.	k.	PROPN
cuesj-1638	370	16	e.	e.	PROPN
cuesj-1638	370	17	adedayo	adedayo	PROPN
cuesj-1638	370	18	.	.	PUNCT
cuesj-1638	371	1	performance	performance	NOUN
cuesj-1638	371	2	evaluation	evaluation	NOUN
cuesj-1638	371	3	of	of	ADP
cuesj-1638	371	4	different	different	ADJ
cuesj-1638	371	5	membership	membership	NOUN
cuesj-1638	371	6	function	function	NOUN
cuesj-1638	371	7	in	in	ADP
cuesj-1638	371	8	fuzzy	fuzzy	ADJ
cuesj-1638	371	9	logic	logic	NOUN
cuesj-1638	371	10	based	base	VERB
cuesj-1638	371	11	short	short	ADJ
cuesj-1638	371	12	-	-	PUNCT
cuesj-1638	371	13	term	term	NOUN
cuesj-1638	371	14	load	load	NOUN
cuesj-1638	371	15	forecasting	forecasting	NOUN
cuesj-1638	371	16	.	.	PUNCT
cuesj-1638	372	1	pertanika	pertanika	PROPN
cuesj-1638	372	2	journal	journal	PROPN
cuesj-1638	372	3	of	of	ADP
cuesj-1638	372	4	science	science	NOUN
cuesj-1638	372	5	and	and	CCONJ
cuesj-1638	372	6	technology	technology	NOUN
cuesj-1638	372	7	,	,	PUNCT
cuesj-1638	372	8	vol	vol	NOUN
cuesj-1638	372	9	.	.	PROPN
cuesj-1638	372	10	29	29	NUM
cuesj-1638	372	11	,	,	PUNCT
cuesj-1638	372	12	no	no	INTJ
cuesj-1638	372	13	.	.	NOUN
cuesj-1638	372	14	2	2	NUM
cuesj-1638	372	15	,	,	PUNCT
cuesj-1638	372	16	pp	pp	ADJ
cuesj-1638	372	17	.	.	PUNCT
cuesj-1638	373	1	959	959	NUM
cuesj-1638	373	2	-	-	SYM
cuesj-1638	373	3	978	978	NUM
cuesj-1638	373	4	,	,	PUNCT
cuesj-1638	373	5	2021	2021	NUM
cuesj-1638	373	6	.	.	PUNCT