id	sid	tid	token	lemma	pos
ejpam-5953	1	1	european	european	PROPN
ejpam-5953	1	2	journal	journal	PROPN
ejpam-5953	1	3	of	of	ADP
ejpam-5953	1	4	pure	pure	ADJ
ejpam-5953	1	5	and	and	CCONJ
ejpam-5953	1	6	applied	applied	ADJ
ejpam-5953	1	7	mathematics	mathematic	NOUN
ejpam-5953	1	8	2025	2025	NUM
ejpam-5953	1	9	,	,	PUNCT
ejpam-5953	1	10	vol	vol	NOUN
ejpam-5953	1	11	.	.	PROPN
ejpam-5953	1	12	18	18	NUM
ejpam-5953	1	13	,	,	PUNCT
ejpam-5953	1	14	issue	issue	NOUN
ejpam-5953	1	15	2	2	NUM
ejpam-5953	1	16	,	,	PUNCT
ejpam-5953	1	17	article	article	NOUN
ejpam-5953	1	18	number	number	NOUN
ejpam-5953	1	19	5953	5953	NUM
ejpam-5953	1	20	issn	issn	VERB
ejpam-5953	1	21	1307	1307	NUM
ejpam-5953	1	22	-	-	SYM
ejpam-5953	1	23	5543	5543	NUM
ejpam-5953	1	24	–	–	PUNCT
ejpam-5953	1	25	ejpam.com	ejpam.com	X
ejpam-5953	1	26	published	publish	VERB
ejpam-5953	1	27	by	by	ADP
ejpam-5953	1	28	new	new	PROPN
ejpam-5953	1	29	york	york	PROPN
ejpam-5953	1	30	business	business	PROPN
ejpam-5953	1	31	global	global	ADJ
ejpam-5953	1	32	machine	machine	NOUN
ejpam-5953	1	33	learning	learn	VERB
ejpam-5953	1	34	for	for	ADP
ejpam-5953	1	35	smart	smart	ADJ
ejpam-5953	1	36	grid	grid	NOUN
ejpam-5953	1	37	stability	stability	NOUN
ejpam-5953	1	38	:	:	PUNCT
ejpam-5953	1	39	enhancing	enhance	VERB
ejpam-5953	1	40	reliability	reliability	NOUN
ejpam-5953	1	41	in	in	ADP
ejpam-5953	1	42	renewable	renewable	ADJ
ejpam-5953	1	43	energy	energy	NOUN
ejpam-5953	1	44	integration	integration	NOUN
ejpam-5953	1	45	kassem	kassem	PROPN
ejpam-5953	1	46	danach1,∗	danach1,∗	PROPN
ejpam-5953	1	47	,	,	PUNCT
ejpam-5953	1	48	wael	wael	PROPN
ejpam-5953	1	49	hosny	hosny	PROPN
ejpam-5953	1	50	fouad	fouad	PROPN
ejpam-5953	1	51	aly2	aly2	PROPN
ejpam-5953	1	52	,	,	PUNCT
ejpam-5953	1	53	hassan	hassan	PROPN
ejpam-5953	1	54	kanj2	kanj2	PROPN
ejpam-5953	1	55	1	1	NUM
ejpam-5953	1	56	basic	basic	ADJ
ejpam-5953	1	57	and	and	CCONJ
ejpam-5953	1	58	applied	apply	VERB
ejpam-5953	1	59	sciences	sciences	PROPN
ejpam-5953	1	60	research	research	NOUN
ejpam-5953	1	61	center	center	NOUN
ejpam-5953	1	62	,	,	PUNCT
ejpam-5953	1	63	al	al	PROPN
ejpam-5953	1	64	maaref	maaref	PROPN
ejpam-5953	1	65	university	university	PROPN
ejpam-5953	1	66	,	,	PUNCT
ejpam-5953	1	67	beirut	beirut	PROPN
ejpam-5953	1	68	,	,	PUNCT
ejpam-5953	1	69	lebanon	lebanon	PROPN
ejpam-5953	1	70	2	2	NUM
ejpam-5953	1	71	college	college	NOUN
ejpam-5953	1	72	of	of	ADP
ejpam-5953	1	73	engineering	engineering	NOUN
ejpam-5953	1	74	and	and	CCONJ
ejpam-5953	1	75	technology	technology	NOUN
ejpam-5953	1	76	,	,	PUNCT
ejpam-5953	1	77	american	american	PROPN
ejpam-5953	1	78	university	university	PROPN
ejpam-5953	1	79	of	of	ADP
ejpam-5953	1	80	the	the	DET
ejpam-5953	1	81	middle	middle	PROPN
ejpam-5953	1	82	east	east	PROPN
ejpam-5953	1	83	,	,	PUNCT
ejpam-5953	1	84	kuwait	kuwait	PROPN
ejpam-5953	1	85	abstract	abstract	PROPN
ejpam-5953	1	86	.	.	PUNCT
ejpam-5953	2	1	the	the	DET
ejpam-5953	2	2	integration	integration	NOUN
ejpam-5953	2	3	of	of	ADP
ejpam-5953	2	4	renewable	renewable	ADJ
ejpam-5953	2	5	energy	energy	NOUN
ejpam-5953	2	6	sources	source	NOUN
ejpam-5953	2	7	into	into	ADP
ejpam-5953	2	8	modern	modern	ADJ
ejpam-5953	2	9	power	power	NOUN
ejpam-5953	2	10	grids	grid	NOUN
ejpam-5953	2	11	introduces	introduce	VERB
ejpam-5953	2	12	significant	significant	ADJ
ejpam-5953	2	13	challenges	challenge	NOUN
ejpam-5953	2	14	to	to	ADP
ejpam-5953	2	15	maintaining	maintain	VERB
ejpam-5953	2	16	grid	grid	NOUN
ejpam-5953	2	17	stability	stability	NOUN
ejpam-5953	2	18	due	due	ADP
ejpam-5953	2	19	to	to	ADP
ejpam-5953	2	20	the	the	DET
ejpam-5953	2	21	inherent	inherent	ADJ
ejpam-5953	2	22	variability	variability	NOUN
ejpam-5953	2	23	and	and	CCONJ
ejpam-5953	2	24	unpredictability	unpredictability	NOUN
ejpam-5953	2	25	of	of	ADP
ejpam-5953	2	26	these	these	DET
ejpam-5953	2	27	energy	energy	NOUN
ejpam-5953	2	28	sources	source	NOUN
ejpam-5953	2	29	.	.	PUNCT
ejpam-5953	3	1	this	this	DET
ejpam-5953	3	2	study	study	NOUN
ejpam-5953	3	3	explores	explore	VERB
ejpam-5953	3	4	the	the	DET
ejpam-5953	3	5	application	application	NOUN
ejpam-5953	3	6	of	of	ADP
ejpam-5953	3	7	machine	machine	NOUN
ejpam-5953	3	8	learning	learn	VERB
ejpam-5953	3	9	techniques	technique	NOUN
ejpam-5953	3	10	to	to	PART
ejpam-5953	3	11	predict	predict	VERB
ejpam-5953	3	12	and	and	CCONJ
ejpam-5953	3	13	enhance	enhance	VERB
ejpam-5953	3	14	smart	smart	ADJ
ejpam-5953	3	15	grid	grid	NOUN
ejpam-5953	3	16	stability	stability	NOUN
ejpam-5953	3	17	,	,	PUNCT
ejpam-5953	3	18	focusing	focus	VERB
ejpam-5953	3	19	on	on	ADP
ejpam-5953	3	20	scenarios	scenario	NOUN
ejpam-5953	3	21	involving	involve	VERB
ejpam-5953	3	22	renewable	renewable	ADJ
ejpam-5953	3	23	energy	energy	NOUN
ejpam-5953	3	24	integration	integration	NOUN
ejpam-5953	3	25	.	.	PUNCT
ejpam-5953	4	1	using	use	VERB
ejpam-5953	4	2	the	the	DET
ejpam-5953	4	3	electrical	electrical	ADJ
ejpam-5953	4	4	grid	grid	NOUN
ejpam-5953	4	5	stability	stability	NOUN
ejpam-5953	4	6	simulated	simulate	VERB
ejpam-5953	4	7	dataset	dataset	NOUN
ejpam-5953	4	8	,	,	PUNCT
ejpam-5953	4	9	we	we	PRON
ejpam-5953	4	10	develop	develop	VERB
ejpam-5953	4	11	and	and	CCONJ
ejpam-5953	4	12	evaluate	evaluate	VERB
ejpam-5953	4	13	predictive	predictive	ADJ
ejpam-5953	4	14	models	model	NOUN
ejpam-5953	4	15	that	that	PRON
ejpam-5953	4	16	classify	classify	VERB
ejpam-5953	4	17	grid	grid	NOUN
ejpam-5953	4	18	states	state	NOUN
ejpam-5953	4	19	as	as	ADP
ejpam-5953	4	20	stable	stable	ADJ
ejpam-5953	4	21	or	or	CCONJ
ejpam-5953	4	22	unstable	unstable	ADJ
ejpam-5953	4	23	,	,	PUNCT
ejpam-5953	4	24	analyze	analyze	VERB
ejpam-5953	4	25	the	the	DET
ejpam-5953	4	26	impact	impact	NOUN
ejpam-5953	4	27	of	of	ADP
ejpam-5953	4	28	renewable	renewable	ADJ
ejpam-5953	4	29	energy	energy	NOUN
ejpam-5953	4	30	inputs	input	NOUN
ejpam-5953	4	31	,	,	PUNCT
ejpam-5953	4	32	and	and	CCONJ
ejpam-5953	4	33	identify	identify	VERB
ejpam-5953	4	34	key	key	ADJ
ejpam-5953	4	35	factors	factor	NOUN
ejpam-5953	4	36	influencing	influence	VERB
ejpam-5953	4	37	stability	stability	NOUN
ejpam-5953	4	38	.	.	PUNCT
ejpam-5953	5	1	red	red	PROPN
ejpam-5953	5	2	the	the	DET
ejpam-5953	5	3	proposed	propose	VERB
ejpam-5953	5	4	ml	ml	NOUN
ejpam-5953	5	5	framework	framework	NOUN
ejpam-5953	5	6	achieves	achieve	VERB
ejpam-5953	5	7	a	a	DET
ejpam-5953	5	8	classification	classification	NOUN
ejpam-5953	5	9	accuracy	accuracy	NOUN
ejpam-5953	5	10	of	of	ADP
ejpam-5953	5	11	94	94	NUM
ejpam-5953	5	12	%	%	NOUN
ejpam-5953	5	13	using	use	VERB
ejpam-5953	5	14	neural	neural	ADJ
ejpam-5953	5	15	networks	network	NOUN
ejpam-5953	5	16	,	,	PUNCT
ejpam-5953	5	17	outperforming	outperform	VERB
ejpam-5953	5	18	traditional	traditional	ADJ
ejpam-5953	5	19	models	model	NOUN
ejpam-5953	5	20	such	such	ADJ
ejpam-5953	5	21	as	as	ADP
ejpam-5953	5	22	random	random	ADJ
ejpam-5953	5	23	forest	forest	NOUN
ejpam-5953	5	24	(	(	PUNCT
ejpam-5953	5	25	92	92	NUM
ejpam-5953	5	26	%	%	NOUN
ejpam-5953	5	27	)	)	PUNCT
ejpam-5953	5	28	and	and	CCONJ
ejpam-5953	5	29	logistic	logistic	ADJ
ejpam-5953	5	30	regression	regression	NOUN
ejpam-5953	5	31	(	(	PUNCT
ejpam-5953	5	32	88	88	NUM
ejpam-5953	5	33	%	%	NOUN
ejpam-5953	5	34	)	)	PUNCT
ejpam-5953	5	35	.	.	PUNCT
ejpam-5953	6	1	sensitivity	sensitivity	NOUN
ejpam-5953	6	2	analysis	analysis	NOUN
ejpam-5953	6	3	reveals	reveal	VERB
ejpam-5953	6	4	that	that	SCONJ
ejpam-5953	6	5	increasing	increase	VERB
ejpam-5953	6	6	frame	frame	NOUN
ejpam-5953	6	7	size	size	NOUN
ejpam-5953	6	8	from	from	ADP
ejpam-5953	6	9	40	40	NUM
ejpam-5953	6	10	to	to	PART
ejpam-5953	6	11	320	320	NUM
ejpam-5953	6	12	reduces	reduce	VERB
ejpam-5953	6	13	ber	ber	NOUN
ejpam-5953	6	14	from	from	ADP
ejpam-5953	6	15	0.04	0.04	NUM
ejpam-5953	6	16	to	to	ADP
ejpam-5953	6	17	0.005	0.005	NUM
ejpam-5953	6	18	,	,	PUNCT
ejpam-5953	6	19	while	while	SCONJ
ejpam-5953	6	20	excessive	excessive	ADJ
ejpam-5953	6	21	iterations	iteration	NOUN
ejpam-5953	6	22	beyond	beyond	ADP
ejpam-5953	6	23	5	5	NUM
ejpam-5953	6	24	show	show	NOUN
ejpam-5953	6	25	diminishing	diminishing	NOUN
ejpam-5953	6	26	returns	return	NOUN
ejpam-5953	6	27	.	.	PUNCT
ejpam-5953	7	1	our	our	PRON
ejpam-5953	7	2	method	method	NOUN
ejpam-5953	7	3	enables	enable	VERB
ejpam-5953	7	4	real	real	ADJ
ejpam-5953	7	5	-	-	PUNCT
ejpam-5953	7	6	time	time	NOUN
ejpam-5953	7	7	monitoring	monitoring	NOUN
ejpam-5953	7	8	with	with	ADP
ejpam-5953	7	9	a	a	DET
ejpam-5953	7	10	50	50	NUM
ejpam-5953	7	11	%	%	NOUN
ejpam-5953	7	12	reduction	reduction	NOUN
ejpam-5953	7	13	in	in	ADP
ejpam-5953	7	14	false	false	ADJ
ejpam-5953	7	15	alarms	alarm	NOUN
ejpam-5953	7	16	,	,	PUNCT
ejpam-5953	7	17	enhancing	enhance	VERB
ejpam-5953	7	18	grid	grid	NOUN
ejpam-5953	7	19	stability	stability	NOUN
ejpam-5953	7	20	.	.	PUNCT
ejpam-5953	8	1	additionally	additionally	ADV
ejpam-5953	8	2	,	,	PUNCT
ejpam-5953	8	3	we	we	PRON
ejpam-5953	8	4	highlight	highlight	VERB
ejpam-5953	8	5	the	the	DET
ejpam-5953	8	6	role	role	NOUN
ejpam-5953	8	7	of	of	ADP
ejpam-5953	8	8	interleaved	interleaved	ADJ
ejpam-5953	8	9	randomness	randomness	NOUN
ejpam-5953	8	10	,	,	PUNCT
ejpam-5953	8	11	feature	feature	NOUN
ejpam-5953	8	12	selection	selection	NOUN
ejpam-5953	8	13	,	,	PUNCT
ejpam-5953	8	14	and	and	CCONJ
ejpam-5953	8	15	data	data	NOUN
ejpam-5953	8	16	-	-	PUNCT
ejpam-5953	8	17	driven	drive	VERB
ejpam-5953	8	18	approaches	approach	NOUN
ejpam-5953	8	19	in	in	ADP
ejpam-5953	8	20	achieving	achieve	VERB
ejpam-5953	8	21	robust	robust	ADJ
ejpam-5953	8	22	predictions	prediction	NOUN
ejpam-5953	8	23	.	.	PUNCT
ejpam-5953	9	1	this	this	DET
ejpam-5953	9	2	research	research	NOUN
ejpam-5953	9	3	underscores	underscore	VERB
ejpam-5953	9	4	the	the	DET
ejpam-5953	9	5	potential	potential	NOUN
ejpam-5953	9	6	of	of	ADP
ejpam-5953	9	7	machine	machine	NOUN
ejpam-5953	9	8	learning	learn	VERB
ejpam-5953	9	9	to	to	PART
ejpam-5953	9	10	transform	transform	VERB
ejpam-5953	9	11	grid	grid	NOUN
ejpam-5953	9	12	management	management	NOUN
ejpam-5953	9	13	,	,	PUNCT
ejpam-5953	9	14	offering	offer	VERB
ejpam-5953	9	15	practical	practical	ADJ
ejpam-5953	9	16	solutions	solution	NOUN
ejpam-5953	9	17	for	for	ADP
ejpam-5953	9	18	energy	energy	NOUN
ejpam-5953	9	19	load	load	NOUN
ejpam-5953	9	20	optimization	optimization	NOUN
ejpam-5953	9	21	and	and	CCONJ
ejpam-5953	9	22	real	real	ADJ
ejpam-5953	9	23	-	-	PUNCT
ejpam-5953	9	24	time	time	NOUN
ejpam-5953	9	25	stability	stability	NOUN
ejpam-5953	9	26	monitoring	monitoring	NOUN
ejpam-5953	9	27	.	.	PUNCT
ejpam-5953	10	1	our	our	PRON
ejpam-5953	10	2	findings	finding	NOUN
ejpam-5953	10	3	contribute	contribute	VERB
ejpam-5953	10	4	to	to	ADP
ejpam-5953	10	5	the	the	DET
ejpam-5953	10	6	development	development	NOUN
ejpam-5953	10	7	of	of	ADP
ejpam-5953	10	8	smarter	smart	ADJ
ejpam-5953	10	9	,	,	PUNCT
ejpam-5953	10	10	more	more	ADV
ejpam-5953	10	11	resilient	resilient	ADJ
ejpam-5953	10	12	power	power	NOUN
ejpam-5953	10	13	systems	system	NOUN
ejpam-5953	10	14	capable	capable	ADJ
ejpam-5953	10	15	of	of	ADP
ejpam-5953	10	16	integrating	integrate	VERB
ejpam-5953	10	17	renewable	renewable	ADJ
ejpam-5953	10	18	energy	energy	NOUN
ejpam-5953	10	19	sources	source	NOUN
ejpam-5953	10	20	seamlessly	seamlessly	ADV
ejpam-5953	10	21	.	.	PUNCT
ejpam-5953	11	1	2020	2020	NUM
ejpam-5953	11	2	mathematics	mathematic	NOUN
ejpam-5953	11	3	subject	subject	NOUN
ejpam-5953	11	4	classifications	classification	NOUN
ejpam-5953	11	5	:	:	PUNCT
ejpam-5953	11	6	68t07	68t07	NUM
ejpam-5953	11	7	,	,	PUNCT
ejpam-5953	11	8	90c90	90c90	NUM
ejpam-5953	11	9	,	,	PUNCT
ejpam-5953	11	10	93e35	93e35	NUM
ejpam-5953	11	11	,	,	PUNCT
ejpam-5953	11	12	94a12	94a12	NUM
ejpam-5953	11	13	,	,	PUNCT
ejpam-5953	11	14	68q32	68q32	NUM
ejpam-5953	11	15	key	key	ADJ
ejpam-5953	11	16	words	word	NOUN
ejpam-5953	11	17	and	and	CCONJ
ejpam-5953	11	18	phrases	phrase	NOUN
ejpam-5953	11	19	:	:	PUNCT
ejpam-5953	11	20	smart	smart	ADJ
ejpam-5953	11	21	grid	grid	NOUN
ejpam-5953	11	22	stability	stability	NOUN
ejpam-5953	11	23	,	,	PUNCT
ejpam-5953	11	24	renewable	renewable	ADJ
ejpam-5953	11	25	energy	energy	NOUN
ejpam-5953	11	26	integration	integration	NOUN
ejpam-5953	11	27	,	,	PUNCT
ejpam-5953	11	28	machine	machine	NOUN
ejpam-5953	11	29	learning	learning	NOUN
ejpam-5953	11	30	,	,	PUNCT
ejpam-5953	11	31	grid	grid	NOUN
ejpam-5953	11	32	reliability	reliability	NOUN
ejpam-5953	11	33	,	,	PUNCT
ejpam-5953	11	34	predictive	predictive	ADJ
ejpam-5953	11	35	modeling	modeling	NOUN
ejpam-5953	11	36	,	,	PUNCT
ejpam-5953	11	37	electrical	electrical	ADJ
ejpam-5953	11	38	grid	grid	NOUN
ejpam-5953	11	39	stability	stability	NOUN
ejpam-5953	11	40	dataset	dataset	NOUN
ejpam-5953	11	41	,	,	PUNCT
ejpam-5953	11	42	energy	energy	NOUN
ejpam-5953	11	43	load	load	NOUN
ejpam-5953	11	44	optimization	optimization	NOUN
ejpam-5953	11	45	1	1	NUM
ejpam-5953	11	46	.	.	PUNCT
ejpam-5953	11	47	introduction	introduction	NOUN
ejpam-5953	11	48	1.1	1.1	NUM
ejpam-5953	11	49	.	.	PUNCT
ejpam-5953	12	1	background	background	NOUN
ejpam-5953	12	2	the	the	DET
ejpam-5953	12	3	transition	transition	NOUN
ejpam-5953	12	4	to	to	PART
ejpam-5953	12	5	renewable	renewable	VERB
ejpam-5953	12	6	energy	energy	NOUN
ejpam-5953	12	7	sources	source	NOUN
ejpam-5953	12	8	,	,	PUNCT
ejpam-5953	12	9	such	such	ADJ
ejpam-5953	12	10	as	as	ADP
ejpam-5953	12	11	solar	solar	ADJ
ejpam-5953	12	12	,	,	PUNCT
ejpam-5953	12	13	wind	wind	NOUN
ejpam-5953	12	14	,	,	PUNCT
ejpam-5953	12	15	and	and	CCONJ
ejpam-5953	12	16	hydroelectric	hydroelectric	ADJ
ejpam-5953	12	17	power	power	NOUN
ejpam-5953	12	18	,	,	PUNCT
ejpam-5953	12	19	is	be	AUX
ejpam-5953	12	20	pivotal	pivotal	ADJ
ejpam-5953	12	21	in	in	ADP
ejpam-5953	12	22	addressing	address	VERB
ejpam-5953	12	23	global	global	ADJ
ejpam-5953	12	24	energy	energy	NOUN
ejpam-5953	12	25	demands	demand	NOUN
ejpam-5953	12	26	while	while	SCONJ
ejpam-5953	12	27	mitigating	mitigate	VERB
ejpam-5953	12	28	the	the	DET
ejpam-5953	12	29	adverse	adverse	ADJ
ejpam-5953	12	30	effects	effect	NOUN
ejpam-5953	12	31	∗corresponding	∗corresponde	VERB
ejpam-5953	12	32	author	author	NOUN
ejpam-5953	12	33	.	.	PUNCT
ejpam-5953	13	1	doi	doi	NOUN
ejpam-5953	13	2	:	:	PUNCT
ejpam-5953	13	3	https://doi.org/10.29020/nybg.ejpam.v18i2.5953	https://doi.org/10.29020/nybg.ejpam.v18i2.5953	PROPN
ejpam-5953	13	4	email	email	NOUN
ejpam-5953	13	5	addresses	address	NOUN
ejpam-5953	13	6	:	:	PUNCT
ejpam-5953	13	7	kassem.danach@mu.edu.lb	kassem.danach@mu.edu.lb	PROPN
ejpam-5953	13	8	(	(	PUNCT
ejpam-5953	13	9	k.	k.	PROPN
ejpam-5953	13	10	danach	danach	PROPN
ejpam-5953	13	11	)	)	PUNCT
ejpam-5953	13	12	,	,	PUNCT
ejpam-5953	13	13	wael.aly@aum.edu.kw	wael.aly@aum.edu.kw	PROPN
ejpam-5953	13	14	(	(	PUNCT
ejpam-5953	13	15	w.	w.	PROPN
ejpam-5953	13	16	h.	h.	PROPN
ejpam-5953	13	17	f.	f.	PROPN
ejpam-5953	13	18	aly	aly	PROPN
ejpam-5953	13	19	)	)	PUNCT
ejpam-5953	13	20	,	,	PUNCT
ejpam-5953	13	21	hassan.kanj@aum.edu.kw	hassan.kanj@aum.edu.kw	PROPN
ejpam-5953	13	22	(	(	PUNCT
ejpam-5953	13	23	h.	h.	PROPN
ejpam-5953	13	24	kanj	kanj	PROPN
ejpam-5953	13	25	)	)	PUNCT
ejpam-5953	13	26	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-5953	14	1	1	1	NUM
ejpam-5953	14	2	copyright	copyright	NOUN
ejpam-5953	14	3	:	:	PUNCT
ejpam-5953	14	4	©	©	PROPN
ejpam-5953	14	5	2025	2025	NUM
ejpam-5953	14	6	the	the	DET
ejpam-5953	14	7	author(s	author(s	NOUN
ejpam-5953	14	8	)	)	PUNCT
ejpam-5953	14	9	.	.	PUNCT
ejpam-5953	15	1	(	(	PUNCT
ejpam-5953	15	2	cc	cc	NOUN
ejpam-5953	15	3	by	by	ADP
ejpam-5953	15	4	-	-	PUNCT
ejpam-5953	15	5	nc	nc	PROPN
ejpam-5953	15	6	4.0	4.0	NUM
ejpam-5953	15	7	)	)	PUNCT
ejpam-5953	15	8	k.	k.	NOUN
ejpam-5953	15	9	danach	danach	PROPN
ejpam-5953	15	10	,	,	PUNCT
ejpam-5953	15	11	w.	w.	PROPN
ejpam-5953	15	12	h.	h.	PROPN
ejpam-5953	15	13	f.	f.	PROPN
ejpam-5953	15	14	aly	aly	PROPN
ejpam-5953	15	15	,	,	PUNCT
ejpam-5953	15	16	h.	h.	PROPN
ejpam-5953	15	17	kanj	kanj	PROPN
ejpam-5953	15	18	/	/	PUNCT
ejpam-5953	15	19	eur	eur	PROPN
ejpam-5953	15	20	.	.	PUNCT
ejpam-5953	16	1	j.	j.	PROPN
ejpam-5953	16	2	pure	pure	PROPN
ejpam-5953	16	3	appl	appl	PROPN
ejpam-5953	16	4	.	.	PROPN
ejpam-5953	16	5	math	math	PROPN
ejpam-5953	16	6	,	,	PUNCT
ejpam-5953	16	7	18	18	NUM
ejpam-5953	16	8	(	(	PUNCT
ejpam-5953	16	9	2	2	NUM
ejpam-5953	16	10	)	)	PUNCT
ejpam-5953	16	11	(	(	PUNCT
ejpam-5953	16	12	2025	2025	NUM
ejpam-5953	16	13	)	)	PUNCT
ejpam-5953	16	14	,	,	PUNCT
ejpam-5953	16	15	5953	5953	NUM
ejpam-5953	16	16	2	2	NUM
ejpam-5953	16	17	of	of	ADP
ejpam-5953	16	18	20	20	NUM
ejpam-5953	16	19	of	of	ADP
ejpam-5953	16	20	climate	climate	NOUN
ejpam-5953	16	21	change	change	NOUN
ejpam-5953	16	22	[	[	X
ejpam-5953	16	23	1–4	1–4	NOUN
ejpam-5953	16	24	]	]	X
ejpam-5953	16	25	.	.	PUNCT
ejpam-5953	17	1	renewable	renewable	ADJ
ejpam-5953	17	2	energy	energy	NOUN
ejpam-5953	17	3	offers	offer	VERB
ejpam-5953	17	4	a	a	DET
ejpam-5953	17	5	sustainable	sustainable	ADJ
ejpam-5953	17	6	alternative	alternative	NOUN
ejpam-5953	17	7	to	to	ADP
ejpam-5953	17	8	fossil	fossil	ADJ
ejpam-5953	17	9	fuels	fuel	NOUN
ejpam-5953	17	10	,	,	PUNCT
ejpam-5953	17	11	but	but	CCONJ
ejpam-5953	17	12	its	its	PRON
ejpam-5953	17	13	integration	integration	NOUN
ejpam-5953	17	14	into	into	ADP
ejpam-5953	17	15	existing	exist	VERB
ejpam-5953	17	16	power	power	NOUN
ejpam-5953	17	17	grids	grid	NOUN
ejpam-5953	17	18	presents	present	VERB
ejpam-5953	17	19	several	several	ADJ
ejpam-5953	17	20	challenges	challenge	NOUN
ejpam-5953	17	21	.	.	PUNCT
ejpam-5953	18	1	these	these	DET
ejpam-5953	18	2	energy	energy	NOUN
ejpam-5953	18	3	sources	source	NOUN
ejpam-5953	18	4	are	be	AUX
ejpam-5953	18	5	inherently	inherently	ADV
ejpam-5953	18	6	intermittent	intermittent	ADJ
ejpam-5953	18	7	and	and	CCONJ
ejpam-5953	18	8	variable	variable	ADJ
ejpam-5953	18	9	,	,	PUNCT
ejpam-5953	18	10	heavily	heavily	ADV
ejpam-5953	18	11	influenced	influence	VERB
ejpam-5953	18	12	by	by	ADP
ejpam-5953	18	13	weather	weather	NOUN
ejpam-5953	18	14	conditions	condition	NOUN
ejpam-5953	18	15	and	and	CCONJ
ejpam-5953	18	16	seasonal	seasonal	ADJ
ejpam-5953	18	17	patterns	pattern	NOUN
ejpam-5953	18	18	.	.	PUNCT
ejpam-5953	19	1	such	such	ADJ
ejpam-5953	19	2	unpredictability	unpredictability	NOUN
ejpam-5953	19	3	complicates	complicate	VERB
ejpam-5953	19	4	the	the	DET
ejpam-5953	19	5	maintenance	maintenance	NOUN
ejpam-5953	19	6	of	of	ADP
ejpam-5953	19	7	grid	grid	NOUN
ejpam-5953	19	8	stability	stability	NOUN
ejpam-5953	19	9	,	,	PUNCT
ejpam-5953	19	10	potentially	potentially	ADV
ejpam-5953	19	11	leading	lead	VERB
ejpam-5953	19	12	to	to	ADP
ejpam-5953	19	13	power	power	NOUN
ejpam-5953	19	14	outages	outage	NOUN
ejpam-5953	19	15	or	or	CCONJ
ejpam-5953	19	16	inefficiencies	inefficiency	NOUN
ejpam-5953	19	17	in	in	ADP
ejpam-5953	19	18	energy	energy	NOUN
ejpam-5953	19	19	distribution	distribution	NOUN
ejpam-5953	19	20	[	[	X
ejpam-5953	19	21	5–9	5–9	X
ejpam-5953	19	22	]	]	PUNCT
ejpam-5953	19	23	.	.	PUNCT
ejpam-5953	20	1	to	to	PART
ejpam-5953	20	2	address	address	VERB
ejpam-5953	20	3	these	these	DET
ejpam-5953	20	4	challenges	challenge	NOUN
ejpam-5953	20	5	,	,	PUNCT
ejpam-5953	20	6	smart	smart	ADJ
ejpam-5953	20	7	grids	grid	NOUN
ejpam-5953	20	8	have	have	AUX
ejpam-5953	20	9	emerged	emerge	VERB
ejpam-5953	20	10	as	as	ADP
ejpam-5953	20	11	a	a	DET
ejpam-5953	20	12	transformative	transformative	ADJ
ejpam-5953	20	13	solution	solution	NOUN
ejpam-5953	20	14	.	.	PUNCT
ejpam-5953	21	1	these	these	DET
ejpam-5953	21	2	grids	grid	NOUN
ejpam-5953	21	3	incorporate	incorporate	VERB
ejpam-5953	21	4	advanced	advanced	ADJ
ejpam-5953	21	5	technologies	technology	NOUN
ejpam-5953	21	6	for	for	ADP
ejpam-5953	21	7	real	real	ADJ
ejpam-5953	21	8	-	-	PUNCT
ejpam-5953	21	9	time	time	NOUN
ejpam-5953	21	10	monitoring	monitoring	NOUN
ejpam-5953	21	11	,	,	PUNCT
ejpam-5953	21	12	adaptive	adaptive	ADJ
ejpam-5953	21	13	control	control	NOUN
ejpam-5953	21	14	,	,	PUNCT
ejpam-5953	21	15	and	and	CCONJ
ejpam-5953	21	16	intelligent	intelligent	ADJ
ejpam-5953	21	17	energy	energy	NOUN
ejpam-5953	21	18	management	management	NOUN
ejpam-5953	21	19	.	.	PUNCT
ejpam-5953	22	1	among	among	ADP
ejpam-5953	22	2	these	these	DET
ejpam-5953	22	3	technologies	technology	NOUN
ejpam-5953	22	4	,	,	PUNCT
ejpam-5953	22	5	machine	machine	NOUN
ejpam-5953	22	6	learning	learning	NOUN
ejpam-5953	22	7	(	(	PUNCT
ejpam-5953	22	8	ml	ml	NOUN
ejpam-5953	22	9	)	)	PUNCT
ejpam-5953	22	10	plays	play	VERB
ejpam-5953	22	11	a	a	DET
ejpam-5953	22	12	vital	vital	ADJ
ejpam-5953	22	13	role	role	NOUN
ejpam-5953	22	14	,	,	PUNCT
ejpam-5953	22	15	offering	offer	VERB
ejpam-5953	22	16	predictive	predictive	ADJ
ejpam-5953	22	17	capabilities	capability	NOUN
ejpam-5953	22	18	and	and	CCONJ
ejpam-5953	22	19	data	datum	NOUN
ejpam-5953	22	20	-	-	PUNCT
ejpam-5953	22	21	driven	drive	VERB
ejpam-5953	22	22	optimization	optimization	NOUN
ejpam-5953	22	23	techniques	technique	NOUN
ejpam-5953	22	24	that	that	PRON
ejpam-5953	22	25	improve	improve	VERB
ejpam-5953	22	26	grid	grid	NOUN
ejpam-5953	22	27	reliability	reliability	NOUN
ejpam-5953	22	28	and	and	CCONJ
ejpam-5953	22	29	operational	operational	ADJ
ejpam-5953	22	30	efficiency	efficiency	NOUN
ejpam-5953	22	31	.	.	PUNCT
ejpam-5953	23	1	machine	machine	NOUN
ejpam-5953	23	2	learning	learning	NOUN
ejpam-5953	23	3	,	,	PUNCT
ejpam-5953	23	4	particularly	particularly	ADV
ejpam-5953	23	5	deep	deep	ADJ
ejpam-5953	23	6	neural	neural	ADJ
ejpam-5953	23	7	networks	network	NOUN
ejpam-5953	23	8	and	and	CCONJ
ejpam-5953	23	9	random	random	ADJ
ejpam-5953	23	10	forests	forest	NOUN
ejpam-5953	23	11	,	,	PUNCT
ejpam-5953	23	12	enhances	enhance	VERB
ejpam-5953	23	13	grid	grid	NOUN
ejpam-5953	23	14	stability	stability	NOUN
ejpam-5953	23	15	predictions	prediction	NOUN
ejpam-5953	23	16	by	by	ADP
ejpam-5953	23	17	leveraging	leverage	VERB
ejpam-5953	23	18	non	non	ADJ
ejpam-5953	23	19	-	-	ADJ
ejpam-5953	23	20	linear	linear	ADJ
ejpam-5953	23	21	relationships	relationship	NOUN
ejpam-5953	23	22	in	in	ADP
ejpam-5953	23	23	data	datum	NOUN
ejpam-5953	23	24	,	,	PUNCT
ejpam-5953	23	25	outperforming	outperform	VERB
ejpam-5953	23	26	traditional	traditional	ADJ
ejpam-5953	23	27	rule	rule	NOUN
ejpam-5953	23	28	-	-	PUNCT
ejpam-5953	23	29	based	base	VERB
ejpam-5953	23	30	models	model	NOUN
ejpam-5953	23	31	in	in	ADP
ejpam-5953	23	32	terms	term	NOUN
ejpam-5953	23	33	of	of	ADP
ejpam-5953	23	34	accuracy	accuracy	NOUN
ejpam-5953	23	35	and	and	CCONJ
ejpam-5953	23	36	response	response	NOUN
ejpam-5953	23	37	time	time	NOUN
ejpam-5953	23	38	[	[	X
ejpam-5953	23	39	10–14	10–14	NUM
ejpam-5953	23	40	]	]	PUNCT
ejpam-5953	23	41	.	.	PUNCT
ejpam-5953	24	1	recent	recent	ADJ
ejpam-5953	24	2	studies	study	NOUN
ejpam-5953	24	3	have	have	AUX
ejpam-5953	24	4	demonstrated	demonstrate	VERB
ejpam-5953	24	5	the	the	DET
ejpam-5953	24	6	efficacy	efficacy	NOUN
ejpam-5953	24	7	of	of	ADP
ejpam-5953	24	8	ml	ml	PROPN
ejpam-5953	24	9	models	model	NOUN
ejpam-5953	24	10	in	in	ADP
ejpam-5953	24	11	predicting	predict	VERB
ejpam-5953	24	12	and	and	CCONJ
ejpam-5953	24	13	mitigating	mitigate	VERB
ejpam-5953	24	14	grid	grid	NOUN
ejpam-5953	24	15	instability	instability	NOUN
ejpam-5953	24	16	.	.	PUNCT
ejpam-5953	25	1	for	for	ADP
ejpam-5953	25	2	instance	instance	NOUN
ejpam-5953	25	3	,	,	PUNCT
ejpam-5953	25	4	[	[	X
ejpam-5953	25	5	15–17	15–17	NUM
ejpam-5953	25	6	]	]	PUNCT
ejpam-5953	25	7	proposed	propose	VERB
ejpam-5953	25	8	a	a	DET
ejpam-5953	25	9	deep	deep	ADJ
ejpam-5953	25	10	learning	learning	NOUN
ejpam-5953	25	11	-	-	PUNCT
ejpam-5953	25	12	based	base	VERB
ejpam-5953	25	13	approach	approach	NOUN
ejpam-5953	25	14	using	use	VERB
ejpam-5953	25	15	long	long	ADJ
ejpam-5953	25	16	short	short	ADJ
ejpam-5953	25	17	-	-	PUNCT
ejpam-5953	25	18	term	term	NOUN
ejpam-5953	25	19	memory	memory	NOUN
ejpam-5953	25	20	(	(	PUNCT
ejpam-5953	25	21	lstm	lstm	NOUN
ejpam-5953	25	22	)	)	PUNCT
ejpam-5953	25	23	networks	network	NOUN
ejpam-5953	25	24	to	to	PART
ejpam-5953	25	25	predict	predict	VERB
ejpam-5953	25	26	short	short	ADJ
ejpam-5953	25	27	-	-	PUNCT
ejpam-5953	25	28	term	term	NOUN
ejpam-5953	25	29	energy	energy	NOUN
ejpam-5953	25	30	demand	demand	NOUN
ejpam-5953	25	31	in	in	ADP
ejpam-5953	25	32	smart	smart	ADJ
ejpam-5953	25	33	grids	grid	NOUN
ejpam-5953	25	34	,	,	PUNCT
ejpam-5953	25	35	facilitating	facilitate	VERB
ejpam-5953	25	36	better	well	ADJ
ejpam-5953	25	37	integration	integration	NOUN
ejpam-5953	25	38	of	of	ADP
ejpam-5953	25	39	ress	ress	NOUN
ejpam-5953	25	40	and	and	CCONJ
ejpam-5953	25	41	contributing	contribute	VERB
ejpam-5953	25	42	to	to	ADP
ejpam-5953	25	43	sustainable	sustainable	ADJ
ejpam-5953	25	44	development	development	NOUN
ejpam-5953	25	45	goals	goal	NOUN
ejpam-5953	25	46	.	.	PUNCT
ejpam-5953	26	1	similarly	similarly	ADV
ejpam-5953	26	2	,	,	PUNCT
ejpam-5953	26	3	[	[	X
ejpam-5953	26	4	18–21	18–21	NUM
ejpam-5953	26	5	]	]	X
ejpam-5953	26	6	developed	develop	VERB
ejpam-5953	26	7	a	a	DET
ejpam-5953	26	8	framework	framework	NOUN
ejpam-5953	26	9	combining	combine	VERB
ejpam-5953	26	10	reinforcement	reinforcement	NOUN
ejpam-5953	26	11	learning	learning	NOUN
ejpam-5953	26	12	and	and	CCONJ
ejpam-5953	26	13	time	time	NOUN
ejpam-5953	26	14	-	-	PUNCT
ejpam-5953	26	15	series	series	NOUN
ejpam-5953	26	16	forecasting	forecasting	NOUN
ejpam-5953	26	17	to	to	PART
ejpam-5953	26	18	address	address	VERB
ejpam-5953	26	19	uncertainties	uncertainty	NOUN
ejpam-5953	26	20	in	in	ADP
ejpam-5953	26	21	wind	wind	NOUN
ejpam-5953	26	22	and	and	CCONJ
ejpam-5953	26	23	photovoltaic	photovoltaic	VERB
ejpam-5953	26	24	energy	energy	NOUN
ejpam-5953	26	25	sources	source	NOUN
ejpam-5953	26	26	,	,	PUNCT
ejpam-5953	26	27	thereby	thereby	ADV
ejpam-5953	26	28	enhancing	enhance	VERB
ejpam-5953	26	29	energy	energy	NOUN
ejpam-5953	26	30	management	management	NOUN
ejpam-5953	26	31	in	in	ADP
ejpam-5953	26	32	microgrids	microgrid	NOUN
ejpam-5953	26	33	.	.	PUNCT
ejpam-5953	27	1	moreover	moreover	ADV
ejpam-5953	27	2	,	,	PUNCT
ejpam-5953	27	3	the	the	DET
ejpam-5953	27	4	application	application	NOUN
ejpam-5953	27	5	of	of	ADP
ejpam-5953	27	6	reinforcement	reinforcement	NOUN
ejpam-5953	27	7	learning	learning	NOUN
ejpam-5953	27	8	(	(	PUNCT
ejpam-5953	27	9	rl	rl	NOUN
ejpam-5953	27	10	)	)	PUNCT
ejpam-5953	27	11	in	in	ADP
ejpam-5953	27	12	grid	grid	NOUN
ejpam-5953	27	13	stability	stability	NOUN
ejpam-5953	27	14	has	have	AUX
ejpam-5953	27	15	been	be	AUX
ejpam-5953	27	16	explored	explore	VERB
ejpam-5953	27	17	.	.	PUNCT
ejpam-5953	28	1	a	a	DET
ejpam-5953	28	2	study	study	NOUN
ejpam-5953	28	3	by	by	ADP
ejpam-5953	28	4	[	[	X
ejpam-5953	28	5	17	17	NUM
ejpam-5953	28	6	,	,	PUNCT
ejpam-5953	28	7	22	22	NUM
ejpam-5953	28	8	,	,	PUNCT
ejpam-5953	28	9	23	23	NUM
ejpam-5953	28	10	]	]	PUNCT
ejpam-5953	28	11	introduced	introduce	VERB
ejpam-5953	28	12	a	a	DET
ejpam-5953	28	13	machine	machine	NOUN
ejpam-5953	28	14	learning	learning	NOUN
ejpam-5953	28	15	-	-	PUNCT
ejpam-5953	28	16	based	base	VERB
ejpam-5953	28	17	optimal	optimal	ADJ
ejpam-5953	28	18	feedback	feedback	NOUN
ejpam-5953	28	19	control	control	NOUN
ejpam-5953	28	20	scheme	scheme	NOUN
ejpam-5953	28	21	for	for	ADP
ejpam-5953	28	22	microgrid	microgrid	NOUN
ejpam-5953	28	23	stabilization	stabilization	NOUN
ejpam-5953	28	24	,	,	PUNCT
ejpam-5953	28	25	utilizing	utilize	VERB
ejpam-5953	28	26	neural	neural	ADJ
ejpam-5953	28	27	networks	network	NOUN
ejpam-5953	28	28	to	to	PART
ejpam-5953	28	29	manage	manage	VERB
ejpam-5953	28	30	energy	energy	NOUN
ejpam-5953	28	31	storage	storage	NOUN
ejpam-5953	28	32	systems	system	NOUN
ejpam-5953	28	33	and	and	CCONJ
ejpam-5953	28	34	improve	improve	VERB
ejpam-5953	28	35	system	system	NOUN
ejpam-5953	28	36	resilience	resilience	NOUN
ejpam-5953	28	37	.	.	PUNCT
ejpam-5953	29	1	additionally	additionally	ADV
ejpam-5953	29	2	,	,	PUNCT
ejpam-5953	29	3	[	[	X
ejpam-5953	29	4	24–26	24–26	NUM
ejpam-5953	29	5	]	]	PUNCT
ejpam-5953	29	6	presented	present	VERB
ejpam-5953	29	7	a	a	DET
ejpam-5953	29	8	framework	framework	NOUN
ejpam-5953	29	9	for	for	ADP
ejpam-5953	29	10	trustworthy	trustworthy	ADJ
ejpam-5953	29	11	ml	ml	NOUN
ejpam-5953	29	12	in	in	ADP
ejpam-5953	29	13	power	power	NOUN
ejpam-5953	29	14	systems	system	NOUN
ejpam-5953	29	15	,	,	PUNCT
ejpam-5953	29	16	emphasizing	emphasize	VERB
ejpam-5953	29	17	the	the	DET
ejpam-5953	29	18	importance	importance	NOUN
ejpam-5953	29	19	of	of	ADP
ejpam-5953	29	20	reliable	reliable	ADJ
ejpam-5953	29	21	dataset	dataset	NOUN
ejpam-5953	29	22	generation	generation	NOUN
ejpam-5953	29	23	and	and	CCONJ
ejpam-5953	29	24	model	model	NOUN
ejpam-5953	29	25	assessment	assessment	NOUN
ejpam-5953	29	26	in	in	ADP
ejpam-5953	29	27	maintaining	maintain	VERB
ejpam-5953	29	28	grid	grid	NOUN
ejpam-5953	29	29	stability	stability	NOUN
ejpam-5953	29	30	.	.	PUNCT
ejpam-5953	30	1	despite	despite	SCONJ
ejpam-5953	30	2	these	these	DET
ejpam-5953	30	3	advancements	advancement	NOUN
ejpam-5953	30	4	,	,	PUNCT
ejpam-5953	30	5	challenges	challenge	NOUN
ejpam-5953	30	6	remain	remain	VERB
ejpam-5953	30	7	in	in	ADP
ejpam-5953	30	8	the	the	DET
ejpam-5953	30	9	practical	practical	ADJ
ejpam-5953	30	10	implementation	implementation	NOUN
ejpam-5953	30	11	of	of	ADP
ejpam-5953	30	12	ml	ml	NOUN
ejpam-5953	30	13	models	model	NOUN
ejpam-5953	30	14	for	for	ADP
ejpam-5953	30	15	grid	grid	NOUN
ejpam-5953	30	16	stability	stability	NOUN
ejpam-5953	30	17	.	.	PUNCT
ejpam-5953	31	1	issues	issue	NOUN
ejpam-5953	31	2	such	such	ADJ
ejpam-5953	31	3	as	as	ADP
ejpam-5953	31	4	data	datum	NOUN
ejpam-5953	31	5	quality	quality	NOUN
ejpam-5953	31	6	,	,	PUNCT
ejpam-5953	31	7	model	model	NOUN
ejpam-5953	31	8	interpretability	interpretability	NOUN
ejpam-5953	31	9	,	,	PUNCT
ejpam-5953	31	10	and	and	CCONJ
ejpam-5953	31	11	the	the	DET
ejpam-5953	31	12	need	need	NOUN
ejpam-5953	31	13	for	for	ADP
ejpam-5953	31	14	real	real	ADJ
ejpam-5953	31	15	-	-	PUNCT
ejpam-5953	31	16	time	time	NOUN
ejpam-5953	31	17	processing	processing	NOUN
ejpam-5953	31	18	capabilities	capability	NOUN
ejpam-5953	31	19	are	be	AUX
ejpam-5953	31	20	critical	critical	ADJ
ejpam-5953	31	21	considerations	consideration	NOUN
ejpam-5953	31	22	for	for	ADP
ejpam-5953	31	23	future	future	ADJ
ejpam-5953	31	24	research	research	NOUN
ejpam-5953	31	25	.	.	PUNCT
ejpam-5953	32	1	nonetheless	nonetheless	ADV
ejpam-5953	32	2	,	,	PUNCT
ejpam-5953	32	3	the	the	DET
ejpam-5953	32	4	convergence	convergence	NOUN
ejpam-5953	32	5	of	of	ADP
ejpam-5953	32	6	ml	ml	NOUN
ejpam-5953	32	7	and	and	CCONJ
ejpam-5953	32	8	power	power	NOUN
ejpam-5953	32	9	system	system	NOUN
ejpam-5953	32	10	engineering	engineering	NOUN
ejpam-5953	32	11	holds	hold	VERB
ejpam-5953	32	12	significant	significant	ADJ
ejpam-5953	32	13	promise	promise	NOUN
ejpam-5953	32	14	for	for	ADP
ejpam-5953	32	15	developing	develop	VERB
ejpam-5953	32	16	robust	robust	ADJ
ejpam-5953	32	17	solutions	solution	NOUN
ejpam-5953	32	18	to	to	PART
ejpam-5953	32	19	ensure	ensure	VERB
ejpam-5953	32	20	grid	grid	NOUN
ejpam-5953	32	21	stability	stability	NOUN
ejpam-5953	32	22	in	in	ADP
ejpam-5953	32	23	the	the	DET
ejpam-5953	32	24	era	era	NOUN
ejpam-5953	32	25	of	of	ADP
ejpam-5953	32	26	renewable	renewable	ADJ
ejpam-5953	32	27	energy	energy	NOUN
ejpam-5953	32	28	integration	integration	NOUN
ejpam-5953	32	29	[	[	X
ejpam-5953	32	30	19	19	NUM
ejpam-5953	32	31	,	,	PUNCT
ejpam-5953	32	32	27	27	NUM
ejpam-5953	32	33	]	]	PUNCT
ejpam-5953	32	34	.	.	PUNCT
ejpam-5953	33	1	1.2	1.2	NUM
ejpam-5953	33	2	.	.	PUNCT
ejpam-5953	33	3	objectives	objective	NOUN
ejpam-5953	33	4	and	and	CCONJ
ejpam-5953	33	5	aims	aim	VERB
ejpam-5953	33	6	this	this	DET
ejpam-5953	33	7	study	study	NOUN
ejpam-5953	33	8	focuses	focus	VERB
ejpam-5953	33	9	on	on	ADP
ejpam-5953	33	10	the	the	DET
ejpam-5953	33	11	application	application	NOUN
ejpam-5953	33	12	of	of	ADP
ejpam-5953	33	13	machine	machine	NOUN
ejpam-5953	33	14	learning	learn	VERB
ejpam-5953	33	15	to	to	PART
ejpam-5953	33	16	improve	improve	VERB
ejpam-5953	33	17	the	the	DET
ejpam-5953	33	18	stability	stability	NOUN
ejpam-5953	33	19	and	and	CCONJ
ejpam-5953	33	20	reliability	reliability	NOUN
ejpam-5953	33	21	of	of	ADP
ejpam-5953	33	22	smart	smart	ADJ
ejpam-5953	33	23	grids	grid	NOUN
ejpam-5953	33	24	,	,	PUNCT
ejpam-5953	33	25	particularly	particularly	ADV
ejpam-5953	33	26	in	in	ADP
ejpam-5953	33	27	scenarios	scenario	NOUN
ejpam-5953	33	28	involving	involve	VERB
ejpam-5953	33	29	renewable	renewable	ADJ
ejpam-5953	33	30	energy	energy	NOUN
ejpam-5953	33	31	integration	integration	NOUN
ejpam-5953	33	32	.	.	PUNCT
ejpam-5953	34	1	the	the	DET
ejpam-5953	34	2	specific	specific	ADJ
ejpam-5953	34	3	objectives	objective	NOUN
ejpam-5953	34	4	are	be	AUX
ejpam-5953	34	5	:	:	PUNCT
ejpam-5953	34	6	(	(	PUNCT
ejpam-5953	34	7	i	i	NOUN
ejpam-5953	34	8	)	)	PUNCT
ejpam-5953	34	9	develop	develop	VERB
ejpam-5953	34	10	predictive	predictive	ADJ
ejpam-5953	34	11	models	model	NOUN
ejpam-5953	34	12	:	:	PUNCT
ejpam-5953	34	13	to	to	PART
ejpam-5953	34	14	classify	classify	VERB
ejpam-5953	34	15	grid	grid	NOUN
ejpam-5953	34	16	states	state	NOUN
ejpam-5953	34	17	as	as	ADP
ejpam-5953	34	18	stable	stable	ADJ
ejpam-5953	34	19	or	or	CCONJ
ejpam-5953	34	20	unstable	unstable	ADJ
ejpam-5953	34	21	based	base	VERB
ejpam-5953	34	22	on	on	ADP
ejpam-5953	34	23	various	various	ADJ
ejpam-5953	34	24	parameters	parameter	NOUN
ejpam-5953	34	25	.	.	PUNCT
ejpam-5953	35	1	(	(	PUNCT
ejpam-5953	35	2	ii	ii	NOUN
ejpam-5953	35	3	)	)	PUNCT
ejpam-5953	35	4	analyze	analyze	VERB
ejpam-5953	35	5	key	key	ADJ
ejpam-5953	35	6	factors	factor	NOUN
ejpam-5953	35	7	:	:	PUNCT
ejpam-5953	35	8	to	to	PART
ejpam-5953	35	9	study	study	VERB
ejpam-5953	35	10	the	the	DET
ejpam-5953	35	11	impact	impact	NOUN
ejpam-5953	35	12	of	of	ADP
ejpam-5953	35	13	renewable	renewable	ADJ
ejpam-5953	35	14	energy	energy	NOUN
ejpam-5953	35	15	inputs	input	NOUN
ejpam-5953	35	16	,	,	PUNCT
ejpam-5953	35	17	frame	frame	NOUN
ejpam-5953	35	18	size	size	NOUN
ejpam-5953	35	19	,	,	PUNCT
ejpam-5953	35	20	iteration	iteration	NOUN
ejpam-5953	35	21	count	count	NOUN
ejpam-5953	35	22	,	,	PUNCT
ejpam-5953	35	23	and	and	CCONJ
ejpam-5953	35	24	snr	snr	NOUN
ejpam-5953	35	25	on	on	ADP
ejpam-5953	35	26	grid	grid	NOUN
ejpam-5953	35	27	performance	performance	NOUN
ejpam-5953	35	28	.	.	PUNCT
ejpam-5953	36	1	k.	k.	PROPN
ejpam-5953	36	2	danach	danach	PROPN
ejpam-5953	36	3	,	,	PUNCT
ejpam-5953	36	4	w.	w.	PROPN
ejpam-5953	36	5	h.	h.	PROPN
ejpam-5953	36	6	f.	f.	PROPN
ejpam-5953	36	7	aly	aly	PROPN
ejpam-5953	36	8	,	,	PUNCT
ejpam-5953	36	9	h.	h.	PROPN
ejpam-5953	36	10	kanj	kanj	PROPN
ejpam-5953	36	11	/	/	PUNCT
ejpam-5953	36	12	eur	eur	PROPN
ejpam-5953	36	13	.	.	PUNCT
ejpam-5953	37	1	j.	j.	PROPN
ejpam-5953	37	2	pure	pure	PROPN
ejpam-5953	37	3	appl	appl	PROPN
ejpam-5953	37	4	.	.	PROPN
ejpam-5953	37	5	math	math	PROPN
ejpam-5953	37	6	,	,	PUNCT
ejpam-5953	37	7	18	18	NUM
ejpam-5953	37	8	(	(	PUNCT
ejpam-5953	37	9	2	2	NUM
ejpam-5953	37	10	)	)	PUNCT
ejpam-5953	37	11	(	(	PUNCT
ejpam-5953	37	12	2025	2025	NUM
ejpam-5953	37	13	)	)	PUNCT
ejpam-5953	37	14	,	,	PUNCT
ejpam-5953	37	15	5953	5953	NUM
ejpam-5953	37	16	3	3	NUM
ejpam-5953	37	17	of	of	ADP
ejpam-5953	37	18	20	20	NUM
ejpam-5953	37	19	(	(	PUNCT
ejpam-5953	37	20	iii	iii	NOUN
ejpam-5953	37	21	)	)	PUNCT
ejpam-5953	37	22	optimize	optimize	NOUN
ejpam-5953	37	23	grid	grid	NOUN
ejpam-5953	37	24	management	management	NOUN
ejpam-5953	37	25	:	:	PUNCT
ejpam-5953	37	26	to	to	PART
ejpam-5953	37	27	propose	propose	VERB
ejpam-5953	37	28	actionable	actionable	ADJ
ejpam-5953	37	29	strategies	strategy	NOUN
ejpam-5953	37	30	for	for	ADP
ejpam-5953	37	31	real	real	ADJ
ejpam-5953	37	32	-	-	PUNCT
ejpam-5953	37	33	time	time	NOUN
ejpam-5953	37	34	stability	stability	NOUN
ejpam-5953	37	35	monitoring	monitoring	NOUN
ejpam-5953	37	36	and	and	CCONJ
ejpam-5953	37	37	energy	energy	NOUN
ejpam-5953	37	38	load	load	NOUN
ejpam-5953	37	39	distribution	distribution	NOUN
ejpam-5953	37	40	.	.	PUNCT
ejpam-5953	38	1	(	(	PUNCT
ejpam-5953	38	2	iv	iv	X
ejpam-5953	38	3	)	)	PUNCT
ejpam-5953	38	4	address	address	NOUN
ejpam-5953	38	5	trade	trade	NOUN
ejpam-5953	38	6	-	-	PUNCT
ejpam-5953	38	7	offs	off	NOUN
ejpam-5953	38	8	:	:	PUNCT
ejpam-5953	38	9	to	to	PART
ejpam-5953	38	10	evaluate	evaluate	VERB
ejpam-5953	38	11	the	the	DET
ejpam-5953	38	12	trade	trade	NOUN
ejpam-5953	38	13	-	-	PUNCT
ejpam-5953	38	14	offs	off	NOUN
ejpam-5953	38	15	between	between	ADP
ejpam-5953	38	16	power	power	NOUN
ejpam-5953	38	17	efficiency	efficiency	NOUN
ejpam-5953	38	18	,	,	PUNCT
ejpam-5953	38	19	latency	latency	NOUN
ejpam-5953	38	20	,	,	PUNCT
ejpam-5953	38	21	computational	computational	ADJ
ejpam-5953	38	22	complexity	complexity	NOUN
ejpam-5953	38	23	,	,	PUNCT
ejpam-5953	38	24	and	and	CCONJ
ejpam-5953	38	25	error	error	NOUN
ejpam-5953	38	26	performance	performance	NOUN
ejpam-5953	38	27	in	in	ADP
ejpam-5953	38	28	smart	smart	ADJ
ejpam-5953	38	29	grid	grid	NOUN
ejpam-5953	38	30	systems	system	NOUN
ejpam-5953	38	31	.	.	PUNCT
ejpam-5953	39	1	1.3	1.3	NUM
ejpam-5953	39	2	.	.	PUNCT
ejpam-5953	40	1	research	research	NOUN
ejpam-5953	40	2	questions	question	NOUN
ejpam-5953	40	3	and	and	CCONJ
ejpam-5953	40	4	hypotheses	hypothesis	NOUN
ejpam-5953	40	5	1.3.1	1.3.1	NUM
ejpam-5953	40	6	.	.	PUNCT
ejpam-5953	40	7	research	research	NOUN
ejpam-5953	40	8	questions	question	NOUN
ejpam-5953	40	9	while	while	SCONJ
ejpam-5953	40	10	previous	previous	ADJ
ejpam-5953	40	11	studies	study	NOUN
ejpam-5953	40	12	focused	focus	VERB
ejpam-5953	40	13	on	on	ADP
ejpam-5953	40	14	traditional	traditional	ADJ
ejpam-5953	40	15	ml	ml	NOUN
ejpam-5953	40	16	approaches	approach	NOUN
ejpam-5953	40	17	for	for	ADP
ejpam-5953	40	18	grid	grid	NOUN
ejpam-5953	40	19	stability	stability	NOUN
ejpam-5953	40	20	prediction	prediction	NOUN
ejpam-5953	40	21	,	,	PUNCT
ejpam-5953	40	22	this	this	DET
ejpam-5953	40	23	research	research	NOUN
ejpam-5953	40	24	introduces	introduce	VERB
ejpam-5953	40	25	a	a	DET
ejpam-5953	40	26	novel	novel	ADJ
ejpam-5953	40	27	hybrid	hybrid	NOUN
ejpam-5953	40	28	approach	approach	NOUN
ejpam-5953	40	29	combining	combine	VERB
ejpam-5953	40	30	supervised	supervised	ADJ
ejpam-5953	40	31	learning	learning	NOUN
ejpam-5953	40	32	and	and	CCONJ
ejpam-5953	40	33	deep	deep	ADJ
ejpam-5953	40	34	reinforcement	reinforcement	NOUN
ejpam-5953	40	35	learning	learning	NOUN
ejpam-5953	40	36	to	to	PART
ejpam-5953	40	37	optimize	optimize	VERB
ejpam-5953	40	38	energy	energy	NOUN
ejpam-5953	40	39	load	load	NOUN
ejpam-5953	40	40	distribution	distribution	NOUN
ejpam-5953	40	41	and	and	CCONJ
ejpam-5953	40	42	real	real	ADJ
ejpam-5953	40	43	-	-	PUNCT
ejpam-5953	40	44	time	time	NOUN
ejpam-5953	40	45	stability	stability	NOUN
ejpam-5953	40	46	adjustments	adjustment	NOUN
ejpam-5953	40	47	.	.	PUNCT
ejpam-5953	41	1	to	to	PART
ejpam-5953	41	2	address	address	VERB
ejpam-5953	41	3	the	the	DET
ejpam-5953	41	4	challenges	challenge	NOUN
ejpam-5953	41	5	in	in	ADP
ejpam-5953	41	6	smart	smart	ADJ
ejpam-5953	41	7	grid	grid	NOUN
ejpam-5953	41	8	stability	stability	NOUN
ejpam-5953	41	9	,	,	PUNCT
ejpam-5953	41	10	this	this	DET
ejpam-5953	41	11	study	study	NOUN
ejpam-5953	41	12	seeks	seek	VERB
ejpam-5953	41	13	to	to	PART
ejpam-5953	41	14	answer	answer	VERB
ejpam-5953	41	15	the	the	DET
ejpam-5953	41	16	following	follow	VERB
ejpam-5953	41	17	key	key	ADJ
ejpam-5953	41	18	research	research	NOUN
ejpam-5953	41	19	questions	question	NOUN
ejpam-5953	41	20	:	:	PUNCT
ejpam-5953	41	21	(	(	PUNCT
ejpam-5953	41	22	i	i	NOUN
ejpam-5953	41	23	)	)	PUNCT
ejpam-5953	41	24	how	how	SCONJ
ejpam-5953	41	25	effectively	effectively	ADV
ejpam-5953	41	26	can	can	AUX
ejpam-5953	41	27	machine	machine	NOUN
ejpam-5953	41	28	learning	learning	NOUN
ejpam-5953	41	29	models	model	NOUN
ejpam-5953	41	30	predict	predict	VERB
ejpam-5953	41	31	grid	grid	NOUN
ejpam-5953	41	32	stability	stability	NOUN
ejpam-5953	41	33	in	in	ADP
ejpam-5953	41	34	scenarios	scenario	NOUN
ejpam-5953	41	35	with	with	ADP
ejpam-5953	41	36	renewable	renewable	ADJ
ejpam-5953	41	37	energy	energy	NOUN
ejpam-5953	41	38	integration	integration	NOUN
ejpam-5953	41	39	?	?	PUNCT
ejpam-5953	42	1	(	(	PUNCT
ejpam-5953	42	2	ii	ii	X
ejpam-5953	42	3	)	)	PUNCT
ejpam-5953	42	4	what	what	PRON
ejpam-5953	42	5	are	be	AUX
ejpam-5953	42	6	the	the	DET
ejpam-5953	42	7	most	most	ADV
ejpam-5953	42	8	influential	influential	ADJ
ejpam-5953	42	9	factors	factor	NOUN
ejpam-5953	42	10	(	(	PUNCT
ejpam-5953	42	11	e.g.	e.g.	ADV
ejpam-5953	42	12	,	,	PUNCT
ejpam-5953	42	13	snr	snr	PROPN
ejpam-5953	42	14	,	,	PUNCT
ejpam-5953	42	15	iteration	iteration	NOUN
ejpam-5953	42	16	count	count	NOUN
ejpam-5953	42	17	,	,	PUNCT
ejpam-5953	42	18	interleaving	interleave	VERB
ejpam-5953	42	19	randomness	randomness	NOUN
ejpam-5953	42	20	)	)	PUNCT
ejpam-5953	42	21	impacting	impact	VERB
ejpam-5953	42	22	grid	grid	NOUN
ejpam-5953	42	23	stability	stability	NOUN
ejpam-5953	42	24	and	and	CCONJ
ejpam-5953	42	25	error	error	NOUN
ejpam-5953	42	26	performance	performance	NOUN
ejpam-5953	42	27	?	?	PUNCT
ejpam-5953	43	1	(	(	PUNCT
ejpam-5953	43	2	iii	iii	X
ejpam-5953	43	3	)	)	PUNCT
ejpam-5953	43	4	how	how	SCONJ
ejpam-5953	43	5	can	can	AUX
ejpam-5953	43	6	machine	machine	NOUN
ejpam-5953	43	7	learning	learn	VERB
ejpam-5953	43	8	optimize	optimize	VERB
ejpam-5953	43	9	the	the	DET
ejpam-5953	43	10	balance	balance	NOUN
ejpam-5953	43	11	between	between	ADP
ejpam-5953	43	12	power	power	NOUN
ejpam-5953	43	13	efficiency	efficiency	NOUN
ejpam-5953	43	14	and	and	CCONJ
ejpam-5953	43	15	latency	latency	NOUN
ejpam-5953	43	16	in	in	ADP
ejpam-5953	43	17	smart	smart	ADJ
ejpam-5953	43	18	grids	grid	NOUN
ejpam-5953	43	19	?	?	PUNCT
ejpam-5953	44	1	(	(	PUNCT
ejpam-5953	44	2	iv	iv	X
ejpam-5953	44	3	)	)	PUNCT
ejpam-5953	44	4	what	what	PRON
ejpam-5953	44	5	improvements	improvement	NOUN
ejpam-5953	44	6	can	can	AUX
ejpam-5953	44	7	be	be	AUX
ejpam-5953	44	8	achieved	achieve	VERB
ejpam-5953	44	9	by	by	ADP
ejpam-5953	44	10	tuning	tune	VERB
ejpam-5953	44	11	parameters	parameter	NOUN
ejpam-5953	44	12	like	like	ADP
ejpam-5953	44	13	frame	frame	NOUN
ejpam-5953	44	14	size	size	NOUN
ejpam-5953	44	15	and	and	CCONJ
ejpam-5953	44	16	snr	snr	NOUN
ejpam-5953	44	17	in	in	ADP
ejpam-5953	44	18	grid	grid	NOUN
ejpam-5953	44	19	stability	stability	NOUN
ejpam-5953	44	20	predictions	prediction	NOUN
ejpam-5953	44	21	?	?	PUNCT
ejpam-5953	45	1	1.3.2	1.3.2	X
ejpam-5953	45	2	.	.	PUNCT
ejpam-5953	45	3	hypotheses	hypothesis	NOUN
ejpam-5953	45	4	based	base	VERB
ejpam-5953	45	5	on	on	ADP
ejpam-5953	45	6	the	the	DET
ejpam-5953	45	7	research	research	NOUN
ejpam-5953	45	8	questions	question	NOUN
ejpam-5953	45	9	,	,	PUNCT
ejpam-5953	45	10	the	the	DET
ejpam-5953	45	11	following	follow	VERB
ejpam-5953	45	12	hypotheses	hypothesis	NOUN
ejpam-5953	45	13	are	be	AUX
ejpam-5953	45	14	proposed	propose	VERB
ejpam-5953	45	15	to	to	PART
ejpam-5953	45	16	guide	guide	VERB
ejpam-5953	45	17	the	the	DET
ejpam-5953	45	18	investigation	investigation	NOUN
ejpam-5953	45	19	and	and	CCONJ
ejpam-5953	45	20	validate	validate	VERB
ejpam-5953	45	21	the	the	DET
ejpam-5953	45	22	findings	finding	NOUN
ejpam-5953	45	23	of	of	ADP
ejpam-5953	45	24	this	this	DET
ejpam-5953	45	25	study	study	NOUN
ejpam-5953	45	26	:	:	PUNCT
ejpam-5953	45	27	•	•	ADP
ejpam-5953	45	28	h1	h1	NOUN
ejpam-5953	45	29	:	:	PUNCT
ejpam-5953	45	30	machine	machine	NOUN
ejpam-5953	45	31	learning	learning	NOUN
ejpam-5953	45	32	models	model	NOUN
ejpam-5953	45	33	can	can	AUX
ejpam-5953	45	34	outperform	outperform	VERB
ejpam-5953	45	35	traditional	traditional	ADJ
ejpam-5953	45	36	methods	method	NOUN
ejpam-5953	45	37	in	in	ADP
ejpam-5953	45	38	predicting	predict	VERB
ejpam-5953	45	39	grid	grid	NOUN
ejpam-5953	45	40	stability	stability	NOUN
ejpam-5953	45	41	with	with	ADP
ejpam-5953	45	42	higher	high	ADJ
ejpam-5953	45	43	accuracy	accuracy	NOUN
ejpam-5953	45	44	and	and	CCONJ
ejpam-5953	45	45	efficiency	efficiency	NOUN
ejpam-5953	45	46	.	.	PUNCT
ejpam-5953	46	1	justification	justification	NOUN
ejpam-5953	46	2	:	:	PUNCT
ejpam-5953	46	3	machine	machine	NOUN
ejpam-5953	46	4	learning	learning	NOUN
ejpam-5953	46	5	,	,	PUNCT
ejpam-5953	46	6	particularly	particularly	ADV
ejpam-5953	46	7	deep	deep	ADJ
ejpam-5953	46	8	learning	learning	NOUN
ejpam-5953	46	9	architectures	architecture	NOUN
ejpam-5953	46	10	such	such	ADJ
ejpam-5953	46	11	as	as	ADP
ejpam-5953	46	12	neural	neural	ADJ
ejpam-5953	46	13	networks	network	NOUN
ejpam-5953	46	14	and	and	CCONJ
ejpam-5953	46	15	reinforcement	reinforcement	NOUN
ejpam-5953	46	16	learning	learning	NOUN
ejpam-5953	46	17	,	,	PUNCT
ejpam-5953	46	18	has	have	AUX
ejpam-5953	46	19	demonstrated	demonstrate	VERB
ejpam-5953	46	20	superior	superior	ADJ
ejpam-5953	46	21	accuracy	accuracy	NOUN
ejpam-5953	46	22	in	in	ADP
ejpam-5953	46	23	predicting	predict	VERB
ejpam-5953	46	24	grid	grid	NOUN
ejpam-5953	46	25	stability	stability	NOUN
ejpam-5953	46	26	compared	compare	VERB
ejpam-5953	46	27	to	to	ADP
ejpam-5953	46	28	traditional	traditional	ADJ
ejpam-5953	46	29	statistical	statistical	ADJ
ejpam-5953	46	30	models	model	NOUN
ejpam-5953	46	31	.	.	PUNCT
ejpam-5953	47	1	studies	study	NOUN
ejpam-5953	47	2	have	have	AUX
ejpam-5953	47	3	shown	show	VERB
ejpam-5953	47	4	that	that	SCONJ
ejpam-5953	47	5	these	these	DET
ejpam-5953	47	6	models	model	NOUN
ejpam-5953	47	7	outperform	outperform	VERB
ejpam-5953	47	8	rule	rule	NOUN
ejpam-5953	47	9	-	-	PUNCT
ejpam-5953	47	10	based	base	VERB
ejpam-5953	47	11	approaches	approach	NOUN
ejpam-5953	47	12	by	by	ADP
ejpam-5953	47	13	at	at	ADV
ejpam-5953	47	14	least	least	ADV
ejpam-5953	47	15	15	15	NUM
ejpam-5953	47	16	%	%	NOUN
ejpam-5953	47	17	in	in	ADP
ejpam-5953	47	18	prediction	prediction	NOUN
ejpam-5953	47	19	accuracy	accuracy	NOUN
ejpam-5953	47	20	while	while	SCONJ
ejpam-5953	47	21	reducing	reduce	VERB
ejpam-5953	47	22	false	false	ADJ
ejpam-5953	47	23	alarms	alarm	NOUN
ejpam-5953	47	24	and	and	CCONJ
ejpam-5953	47	25	improving	improve	VERB
ejpam-5953	47	26	adaptability	adaptability	NOUN
ejpam-5953	47	27	in	in	ADP
ejpam-5953	47	28	renewable	renewable	ADJ
ejpam-5953	47	29	energy	energy	NOUN
ejpam-5953	47	30	integration	integration	NOUN
ejpam-5953	47	31	[	[	X
ejpam-5953	47	32	16	16	NUM
ejpam-5953	47	33	,	,	PUNCT
ejpam-5953	47	34	28	28	NUM
ejpam-5953	47	35	]	]	PUNCT
ejpam-5953	47	36	.	.	PUNCT
ejpam-5953	48	1	•	•	NUM
ejpam-5953	48	2	h2	h2	NOUN
ejpam-5953	48	3	:	:	PUNCT
ejpam-5953	48	4	increasing	increase	VERB
ejpam-5953	48	5	frame	frame	NOUN
ejpam-5953	48	6	sizes	size	NOUN
ejpam-5953	48	7	and	and	CCONJ
ejpam-5953	48	8	interleaving	interleave	VERB
ejpam-5953	48	9	randomness	randomness	NOUN
ejpam-5953	48	10	significantly	significantly	ADV
ejpam-5953	48	11	enhances	enhance	VERB
ejpam-5953	48	12	decoder	decoder	NOUN
ejpam-5953	48	13	performance	performance	NOUN
ejpam-5953	48	14	,	,	PUNCT
ejpam-5953	48	15	leading	lead	VERB
ejpam-5953	48	16	to	to	ADP
ejpam-5953	48	17	reduced	reduce	VERB
ejpam-5953	48	18	bit	bit	NOUN
ejpam-5953	48	19	error	error	NOUN
ejpam-5953	48	20	rate	rate	NOUN
ejpam-5953	48	21	(	(	PUNCT
ejpam-5953	48	22	ber	ber	PROPN
ejpam-5953	48	23	)	)	PUNCT
ejpam-5953	48	24	.	.	PUNCT
ejpam-5953	49	1	justification	justification	NOUN
ejpam-5953	49	2	:	:	PUNCT
ejpam-5953	49	3	optimizing	optimize	VERB
ejpam-5953	49	4	frame	frame	NOUN
ejpam-5953	49	5	size	size	NOUN
ejpam-5953	49	6	plays	play	VERB
ejpam-5953	49	7	a	a	DET
ejpam-5953	49	8	crucial	crucial	ADJ
ejpam-5953	49	9	role	role	NOUN
ejpam-5953	49	10	in	in	ADP
ejpam-5953	49	11	maintaining	maintain	VERB
ejpam-5953	49	12	grid	grid	NOUN
ejpam-5953	49	13	stability	stability	NOUN
ejpam-5953	49	14	.	.	PUNCT
ejpam-5953	50	1	research	research	NOUN
ejpam-5953	50	2	indicates	indicate	VERB
ejpam-5953	50	3	that	that	SCONJ
ejpam-5953	50	4	increasing	increase	VERB
ejpam-5953	50	5	frame	frame	NOUN
ejpam-5953	50	6	sizes	size	NOUN
ejpam-5953	50	7	improves	improve	VERB
ejpam-5953	50	8	error	error	NOUN
ejpam-5953	50	9	correction	correction	NOUN
ejpam-5953	50	10	performance	performance	NOUN
ejpam-5953	50	11	,	,	PUNCT
ejpam-5953	50	12	k.	k.	PROPN
ejpam-5953	50	13	danach	danach	PROPN
ejpam-5953	50	14	,	,	PUNCT
ejpam-5953	50	15	w.	w.	PROPN
ejpam-5953	50	16	h.	h.	PROPN
ejpam-5953	50	17	f.	f.	PROPN
ejpam-5953	50	18	aly	aly	PROPN
ejpam-5953	50	19	,	,	PUNCT
ejpam-5953	50	20	h.	h.	PROPN
ejpam-5953	50	21	kanj	kanj	PROPN
ejpam-5953	50	22	/	/	PUNCT
ejpam-5953	50	23	eur	eur	PROPN
ejpam-5953	50	24	.	.	PUNCT
ejpam-5953	51	1	j.	j.	PROPN
ejpam-5953	51	2	pure	pure	PROPN
ejpam-5953	51	3	appl	appl	PROPN
ejpam-5953	51	4	.	.	PROPN
ejpam-5953	51	5	math	math	PROPN
ejpam-5953	51	6	,	,	PUNCT
ejpam-5953	51	7	18	18	NUM
ejpam-5953	51	8	(	(	PUNCT
ejpam-5953	51	9	2	2	NUM
ejpam-5953	51	10	)	)	PUNCT
ejpam-5953	51	11	(	(	PUNCT
ejpam-5953	51	12	2025	2025	NUM
ejpam-5953	51	13	)	)	PUNCT
ejpam-5953	51	14	,	,	PUNCT
ejpam-5953	51	15	5953	5953	NUM
ejpam-5953	51	16	4	4	NUM
ejpam-5953	51	17	of	of	ADP
ejpam-5953	51	18	20	20	NUM
ejpam-5953	51	19	figure	figure	NOUN
ejpam-5953	51	20	1	1	NUM
ejpam-5953	51	21	:	:	PUNCT
ejpam-5953	51	22	hypotheses	hypothesis	NOUN
ejpam-5953	51	23	for	for	ADP
ejpam-5953	51	24	investigating	investigate	VERB
ejpam-5953	51	25	machine	machine	NOUN
ejpam-5953	51	26	learning	learning	NOUN
ejpam-5953	51	27	in	in	ADP
ejpam-5953	51	28	grid	grid	NOUN
ejpam-5953	51	29	stability	stability	NOUN
ejpam-5953	51	30	and	and	CCONJ
ejpam-5953	51	31	decoder	decoder	NOUN
ejpam-5953	51	32	performance	performance	NOUN
ejpam-5953	51	33	.	.	PUNCT
ejpam-5953	52	1	leading	lead	VERB
ejpam-5953	52	2	to	to	ADP
ejpam-5953	52	3	a	a	DET
ejpam-5953	52	4	significant	significant	ADJ
ejpam-5953	52	5	reduction	reduction	NOUN
ejpam-5953	52	6	in	in	ADP
ejpam-5953	52	7	ber	ber	NOUN
ejpam-5953	52	8	while	while	SCONJ
ejpam-5953	52	9	ensuring	ensure	VERB
ejpam-5953	52	10	more	more	ADV
ejpam-5953	52	11	robust	robust	ADJ
ejpam-5953	52	12	predictive	predictive	ADJ
ejpam-5953	52	13	accuracy	accuracy	NOUN
ejpam-5953	52	14	.	.	PUNCT
ejpam-5953	53	1	however	however	ADV
ejpam-5953	53	2	,	,	PUNCT
ejpam-5953	53	3	excessive	excessive	ADJ
ejpam-5953	53	4	frame	frame	NOUN
ejpam-5953	53	5	sizes	size	NOUN
ejpam-5953	53	6	may	may	AUX
ejpam-5953	53	7	introduce	introduce	VERB
ejpam-5953	53	8	latency	latency	NOUN
ejpam-5953	53	9	concerns	concern	NOUN
ejpam-5953	53	10	,	,	PUNCT
ejpam-5953	53	11	necessitating	necessitate	VERB
ejpam-5953	53	12	a	a	DET
ejpam-5953	53	13	balance	balance	NOUN
ejpam-5953	53	14	between	between	ADP
ejpam-5953	53	15	performance	performance	NOUN
ejpam-5953	53	16	and	and	CCONJ
ejpam-5953	53	17	processing	processing	NOUN
ejpam-5953	53	18	speed	speed	NOUN
ejpam-5953	53	19	[	[	X
ejpam-5953	53	20	29	29	NUM
ejpam-5953	53	21	]	]	PUNCT
ejpam-5953	53	22	.	.	PUNCT
ejpam-5953	54	1	•	•	NUM
ejpam-5953	54	2	h3	h3	NOUN
ejpam-5953	54	3	:	:	PUNCT
ejpam-5953	54	4	the	the	DET
ejpam-5953	54	5	performance	performance	NOUN
ejpam-5953	54	6	improvement	improvement	NOUN
ejpam-5953	54	7	from	from	ADP
ejpam-5953	54	8	increased	increase	VERB
ejpam-5953	54	9	iteration	iteration	NOUN
ejpam-5953	54	10	count	count	NOUN
ejpam-5953	54	11	diminishes	diminish	VERB
ejpam-5953	54	12	beyond	beyond	ADP
ejpam-5953	54	13	a	a	DET
ejpam-5953	54	14	specific	specific	ADJ
ejpam-5953	54	15	threshold	threshold	NOUN
ejpam-5953	54	16	.	.	PUNCT
ejpam-5953	55	1	justification	justification	NOUN
ejpam-5953	55	2	:	:	PUNCT
ejpam-5953	55	3	iterative	iterative	NOUN
ejpam-5953	55	4	decoding	decoding	NOUN
ejpam-5953	55	5	has	have	AUX
ejpam-5953	55	6	proven	prove	VERB
ejpam-5953	55	7	effective	effective	ADJ
ejpam-5953	55	8	in	in	ADP
ejpam-5953	55	9	stabilizing	stabilize	VERB
ejpam-5953	55	10	error	error	NOUN
ejpam-5953	55	11	-	-	PUNCT
ejpam-5953	55	12	prone	prone	ADJ
ejpam-5953	55	13	predictions	prediction	NOUN
ejpam-5953	55	14	,	,	PUNCT
ejpam-5953	55	15	yet	yet	CCONJ
ejpam-5953	55	16	studies	study	NOUN
ejpam-5953	55	17	confirm	confirm	VERB
ejpam-5953	55	18	that	that	SCONJ
ejpam-5953	55	19	performance	performance	NOUN
ejpam-5953	55	20	improvements	improvement	NOUN
ejpam-5953	55	21	tend	tend	VERB
ejpam-5953	55	22	to	to	PART
ejpam-5953	55	23	plateau	plateau	VERB
ejpam-5953	55	24	after	after	ADP
ejpam-5953	55	25	a	a	DET
ejpam-5953	55	26	certain	certain	ADJ
ejpam-5953	55	27	number	number	NOUN
ejpam-5953	55	28	of	of	ADP
ejpam-5953	55	29	iterations	iteration	NOUN
ejpam-5953	55	30	.	.	PUNCT
ejpam-5953	56	1	beyond	beyond	ADP
ejpam-5953	56	2	five	five	NUM
ejpam-5953	56	3	iterations	iteration	NOUN
ejpam-5953	56	4	,	,	PUNCT
ejpam-5953	56	5	the	the	DET
ejpam-5953	56	6	marginal	marginal	ADJ
ejpam-5953	56	7	benefit	benefit	NOUN
ejpam-5953	56	8	decreases	decrease	NOUN
ejpam-5953	56	9	while	while	SCONJ
ejpam-5953	56	10	computational	computational	ADJ
ejpam-5953	56	11	complexity	complexity	NOUN
ejpam-5953	56	12	increases	increase	VERB
ejpam-5953	56	13	[	[	X
ejpam-5953	56	14	22	22	NUM
ejpam-5953	56	15	,	,	PUNCT
ejpam-5953	56	16	30	30	NUM
ejpam-5953	56	17	]	]	PUNCT
ejpam-5953	56	18	.	.	PUNCT
ejpam-5953	57	1	•	•	NUM
ejpam-5953	57	2	h4	h4	PROPN
ejpam-5953	57	3	:	:	PUNCT
ejpam-5953	57	4	optimal	optimal	ADJ
ejpam-5953	57	5	tuning	tuning	NOUN
ejpam-5953	57	6	of	of	ADP
ejpam-5953	57	7	signal	signal	NOUN
ejpam-5953	57	8	-	-	PUNCT
ejpam-5953	57	9	to	to	ADP
ejpam-5953	57	10	-	-	PUNCT
ejpam-5953	57	11	noise	noise	NOUN
ejpam-5953	57	12	ratio	ratio	NOUN
ejpam-5953	57	13	(	(	PUNCT
ejpam-5953	57	14	snr	snr	PROPN
ejpam-5953	57	15	)	)	PUNCT
ejpam-5953	57	16	and	and	CCONJ
ejpam-5953	57	17	frame	frame	NOUN
ejpam-5953	57	18	sizes	size	NOUN
ejpam-5953	57	19	results	result	VERB
ejpam-5953	57	20	in	in	ADP
ejpam-5953	57	21	lower	low	ADJ
ejpam-5953	57	22	ber	ber	NOUN
ejpam-5953	57	23	and	and	CCONJ
ejpam-5953	57	24	improved	improve	VERB
ejpam-5953	57	25	stability	stability	NOUN
ejpam-5953	57	26	with	with	ADP
ejpam-5953	57	27	manageable	manageable	ADJ
ejpam-5953	57	28	computational	computational	ADJ
ejpam-5953	57	29	costs	cost	NOUN
ejpam-5953	57	30	.	.	PUNCT
ejpam-5953	58	1	justification	justification	NOUN
ejpam-5953	58	2	:	:	PUNCT
ejpam-5953	58	3	the	the	DET
ejpam-5953	58	4	integration	integration	NOUN
ejpam-5953	58	5	of	of	ADP
ejpam-5953	58	6	adaptive	adaptive	ADJ
ejpam-5953	58	7	snr	snr	NOUN
ejpam-5953	58	8	-	-	PUNCT
ejpam-5953	58	9	based	base	VERB
ejpam-5953	58	10	learning	learning	NOUN
ejpam-5953	58	11	techniques	technique	NOUN
ejpam-5953	58	12	has	have	AUX
ejpam-5953	58	13	been	be	AUX
ejpam-5953	58	14	shown	show	VERB
ejpam-5953	58	15	to	to	PART
ejpam-5953	58	16	optimize	optimize	VERB
ejpam-5953	58	17	stability	stability	NOUN
ejpam-5953	58	18	predictions	prediction	NOUN
ejpam-5953	58	19	while	while	SCONJ
ejpam-5953	58	20	balancing	balance	VERB
ejpam-5953	58	21	computational	computational	ADJ
ejpam-5953	58	22	efficiency	efficiency	NOUN
ejpam-5953	58	23	.	.	PUNCT
ejpam-5953	59	1	studies	study	NOUN
ejpam-5953	59	2	indicate	indicate	VERB
ejpam-5953	59	3	that	that	SCONJ
ejpam-5953	59	4	an	an	DET
ejpam-5953	59	5	optimal	optimal	ADJ
ejpam-5953	59	6	snr	snr	NOUN
ejpam-5953	59	7	range	range	NOUN
ejpam-5953	59	8	(	(	PUNCT
ejpam-5953	59	9	10	10	NUM
ejpam-5953	59	10	-	-	SYM
ejpam-5953	59	11	15	15	NUM
ejpam-5953	59	12	db	db	NOUN
ejpam-5953	59	13	)	)	PUNCT
ejpam-5953	59	14	improves	improve	VERB
ejpam-5953	59	15	prediction	prediction	NOUN
ejpam-5953	59	16	accuracy	accuracy	NOUN
ejpam-5953	59	17	by	by	ADP
ejpam-5953	59	18	up	up	ADP
ejpam-5953	59	19	to	to	PART
ejpam-5953	59	20	20	20	NUM
ejpam-5953	59	21	%	%	NOUN
ejpam-5953	59	22	,	,	PUNCT
ejpam-5953	59	23	while	while	SCONJ
ejpam-5953	59	24	minimizing	minimize	VERB
ejpam-5953	59	25	the	the	DET
ejpam-5953	59	26	trade	trade	NOUN
ejpam-5953	59	27	-	-	PUNCT
ejpam-5953	59	28	offs	off	NOUN
ejpam-5953	59	29	associated	associate	VERB
ejpam-5953	59	30	with	with	ADP
ejpam-5953	59	31	excessive	excessive	ADJ
ejpam-5953	59	32	data	datum	NOUN
ejpam-5953	59	33	processing	processing	NOUN
ejpam-5953	59	34	[	[	X
ejpam-5953	59	35	24	24	NUM
ejpam-5953	59	36	,	,	PUNCT
ejpam-5953	59	37	31	31	NUM
ejpam-5953	59	38	]	]	PUNCT
ejpam-5953	59	39	.	.	PUNCT
ejpam-5953	60	1	this	this	DET
ejpam-5953	60	2	study	study	NOUN
ejpam-5953	60	3	will	will	AUX
ejpam-5953	60	4	empirically	empirically	ADV
ejpam-5953	60	5	evaluate	evaluate	VERB
ejpam-5953	60	6	these	these	DET
ejpam-5953	60	7	hypotheses	hypothesis	NOUN
ejpam-5953	60	8	using	use	VERB
ejpam-5953	60	9	supervised	supervised	ADJ
ejpam-5953	60	10	learning	learning	NOUN
ejpam-5953	60	11	models	model	NOUN
ejpam-5953	60	12	,	,	PUNCT
ejpam-5953	60	13	experimental	experimental	ADJ
ejpam-5953	60	14	simulations	simulation	NOUN
ejpam-5953	60	15	,	,	PUNCT
ejpam-5953	60	16	and	and	CCONJ
ejpam-5953	60	17	statistical	statistical	ADJ
ejpam-5953	60	18	validation	validation	NOUN
ejpam-5953	60	19	metrics	metric	NOUN
ejpam-5953	60	20	to	to	PART
ejpam-5953	60	21	assess	assess	VERB
ejpam-5953	60	22	their	their	PRON
ejpam-5953	60	23	applicability	applicability	NOUN
ejpam-5953	60	24	to	to	ADP
ejpam-5953	60	25	real	real	ADJ
ejpam-5953	60	26	-	-	PUNCT
ejpam-5953	60	27	world	world	NOUN
ejpam-5953	60	28	smart	smart	ADJ
ejpam-5953	60	29	grid	grid	NOUN
ejpam-5953	60	30	scenarios	scenario	NOUN
ejpam-5953	60	31	.	.	PUNCT
ejpam-5953	61	1	1.4	1.4	NUM
ejpam-5953	61	2	.	.	PUNCT
ejpam-5953	62	1	key	key	ADJ
ejpam-5953	62	2	contributions	contribution	NOUN
ejpam-5953	62	3	the	the	DET
ejpam-5953	62	4	major	major	ADJ
ejpam-5953	62	5	contributions	contribution	NOUN
ejpam-5953	62	6	of	of	ADP
ejpam-5953	62	7	this	this	DET
ejpam-5953	62	8	work	work	NOUN
ejpam-5953	62	9	are	be	AUX
ejpam-5953	62	10	:	:	PUNCT
ejpam-5953	62	11	k.	k.	PROPN
ejpam-5953	62	12	danach	danach	PROPN
ejpam-5953	62	13	,	,	PUNCT
ejpam-5953	62	14	w.	w.	PROPN
ejpam-5953	62	15	h.	h.	PROPN
ejpam-5953	62	16	f.	f.	PROPN
ejpam-5953	62	17	aly	aly	PROPN
ejpam-5953	62	18	,	,	PUNCT
ejpam-5953	62	19	h.	h.	PROPN
ejpam-5953	62	20	kanj	kanj	PROPN
ejpam-5953	62	21	/	/	PUNCT
ejpam-5953	62	22	eur	eur	PROPN
ejpam-5953	62	23	.	.	PUNCT
ejpam-5953	63	1	j.	j.	PROPN
ejpam-5953	63	2	pure	pure	PROPN
ejpam-5953	63	3	appl	appl	PROPN
ejpam-5953	63	4	.	.	PROPN
ejpam-5953	63	5	math	math	PROPN
ejpam-5953	63	6	,	,	PUNCT
ejpam-5953	63	7	18	18	NUM
ejpam-5953	63	8	(	(	PUNCT
ejpam-5953	63	9	2	2	NUM
ejpam-5953	63	10	)	)	PUNCT
ejpam-5953	63	11	(	(	PUNCT
ejpam-5953	63	12	2025	2025	NUM
ejpam-5953	63	13	)	)	PUNCT
ejpam-5953	63	14	,	,	PUNCT
ejpam-5953	63	15	5953	5953	NUM
ejpam-5953	63	16	5	5	NUM
ejpam-5953	63	17	of	of	ADP
ejpam-5953	63	18	20	20	NUM
ejpam-5953	63	19	•	•	NOUN
ejpam-5953	63	20	development	development	NOUN
ejpam-5953	63	21	of	of	ADP
ejpam-5953	63	22	a	a	DET
ejpam-5953	63	23	novel	novel	ADJ
ejpam-5953	63	24	ml	ml	VERB
ejpam-5953	63	25	-	-	PUNCT
ejpam-5953	63	26	based	base	VERB
ejpam-5953	63	27	predictive	predictive	ADJ
ejpam-5953	63	28	framework	framework	NOUN
ejpam-5953	63	29	for	for	ADP
ejpam-5953	63	30	smart	smart	ADJ
ejpam-5953	63	31	grid	grid	NOUN
ejpam-5953	63	32	stability	stability	NOUN
ejpam-5953	63	33	,	,	PUNCT
ejpam-5953	63	34	integrating	integrate	VERB
ejpam-5953	63	35	both	both	CCONJ
ejpam-5953	63	36	classification	classification	NOUN
ejpam-5953	63	37	and	and	CCONJ
ejpam-5953	63	38	regression	regression	NOUN
ejpam-5953	63	39	techniques	technique	NOUN
ejpam-5953	63	40	.	.	PUNCT
ejpam-5953	64	1	•	•	NUM
ejpam-5953	64	2	optimization	optimization	NOUN
ejpam-5953	64	3	of	of	ADP
ejpam-5953	64	4	hyperparameters	hyperparameter	NOUN
ejpam-5953	64	5	to	to	PART
ejpam-5953	64	6	balance	balance	NOUN
ejpam-5953	64	7	accuracy	accuracy	NOUN
ejpam-5953	64	8	,	,	PUNCT
ejpam-5953	64	9	computational	computational	ADJ
ejpam-5953	64	10	cost	cost	NOUN
ejpam-5953	64	11	,	,	PUNCT
ejpam-5953	64	12	and	and	CCONJ
ejpam-5953	64	13	realtime	realtime	NOUN
ejpam-5953	64	14	performance	performance	NOUN
ejpam-5953	64	15	.	.	PUNCT
ejpam-5953	65	1	•	•	NUM
ejpam-5953	65	2	extensive	extensive	ADJ
ejpam-5953	65	3	sensitivity	sensitivity	NOUN
ejpam-5953	65	4	analysis	analysis	NOUN
ejpam-5953	65	5	,	,	PUNCT
ejpam-5953	65	6	demonstrating	demonstrate	VERB
ejpam-5953	65	7	the	the	DET
ejpam-5953	65	8	impact	impact	NOUN
ejpam-5953	65	9	of	of	ADP
ejpam-5953	65	10	key	key	ADJ
ejpam-5953	65	11	parameters	parameter	NOUN
ejpam-5953	65	12	such	such	ADJ
ejpam-5953	65	13	as	as	ADP
ejpam-5953	65	14	snr	snr	NOUN
ejpam-5953	65	15	,	,	PUNCT
ejpam-5953	65	16	frame	frame	NOUN
ejpam-5953	65	17	size	size	NOUN
ejpam-5953	65	18	,	,	PUNCT
ejpam-5953	65	19	and	and	CCONJ
ejpam-5953	65	20	interleaving	interleave	VERB
ejpam-5953	65	21	randomness	randomness	NOUN
ejpam-5953	65	22	.	.	PUNCT
ejpam-5953	66	1	•	•	NUM
ejpam-5953	66	2	implementation	implementation	NOUN
ejpam-5953	66	3	of	of	ADP
ejpam-5953	66	4	multiple	multiple	ADJ
ejpam-5953	66	5	performance	performance	NOUN
ejpam-5953	66	6	metrics	metric	NOUN
ejpam-5953	66	7	,	,	PUNCT
ejpam-5953	66	8	including	include	VERB
ejpam-5953	66	9	roc	roc	NOUN
ejpam-5953	66	10	-	-	PUNCT
ejpam-5953	66	11	auc	auc	NOUN
ejpam-5953	66	12	and	and	CCONJ
ejpam-5953	66	13	computational	computational	ADJ
ejpam-5953	66	14	efficiency	efficiency	NOUN
ejpam-5953	66	15	,	,	PUNCT
ejpam-5953	66	16	to	to	PART
ejpam-5953	66	17	comprehensively	comprehensively	ADV
ejpam-5953	66	18	evaluate	evaluate	VERB
ejpam-5953	66	19	model	model	NOUN
ejpam-5953	66	20	performance	performance	NOUN
ejpam-5953	66	21	.	.	PUNCT
ejpam-5953	67	1	•	•	NUM
ejpam-5953	67	2	discussion	discussion	NOUN
ejpam-5953	67	3	on	on	ADP
ejpam-5953	67	4	dataset	dataset	ADJ
ejpam-5953	67	5	biases	bias	NOUN
ejpam-5953	67	6	and	and	CCONJ
ejpam-5953	67	7	model	model	NOUN
ejpam-5953	67	8	robustness	robustness	NOUN
ejpam-5953	67	9	under	under	ADP
ejpam-5953	67	10	varying	vary	VERB
ejpam-5953	67	11	conditions	condition	NOUN
ejpam-5953	67	12	.	.	PUNCT
ejpam-5953	68	1	this	this	DET
ejpam-5953	68	2	paper	paper	NOUN
ejpam-5953	68	3	is	be	AUX
ejpam-5953	68	4	organized	organize	VERB
ejpam-5953	68	5	as	as	SCONJ
ejpam-5953	68	6	follows	follow	VERB
ejpam-5953	68	7	:	:	PUNCT
ejpam-5953	68	8	section	section	NOUN
ejpam-5953	68	9	1	1	NUM
ejpam-5953	68	10	has	have	VERB
ejpam-5953	68	11	the	the	DET
ejpam-5953	68	12	introduction	introduction	NOUN
ejpam-5953	68	13	where	where	SCONJ
ejpam-5953	68	14	it	it	PRON
ejpam-5953	68	15	provides	provide	VERB
ejpam-5953	68	16	an	an	DET
ejpam-5953	68	17	overview	overview	NOUN
ejpam-5953	68	18	of	of	ADP
ejpam-5953	68	19	the	the	DET
ejpam-5953	68	20	challenges	challenge	NOUN
ejpam-5953	68	21	in	in	ADP
ejpam-5953	68	22	smart	smart	ADJ
ejpam-5953	68	23	grid	grid	NOUN
ejpam-5953	68	24	stability	stability	NOUN
ejpam-5953	68	25	,	,	PUNCT
ejpam-5953	68	26	the	the	DET
ejpam-5953	68	27	role	role	NOUN
ejpam-5953	68	28	of	of	ADP
ejpam-5953	68	29	machine	machine	NOUN
ejpam-5953	68	30	learning	learn	VERB
ejpam-5953	68	31	in	in	ADP
ejpam-5953	68	32	addressing	address	VERB
ejpam-5953	68	33	these	these	DET
ejpam-5953	68	34	challenges	challenge	NOUN
ejpam-5953	68	35	,	,	PUNCT
ejpam-5953	68	36	and	and	CCONJ
ejpam-5953	68	37	the	the	DET
ejpam-5953	68	38	study	study	NOUN
ejpam-5953	68	39	’s	’s	PART
ejpam-5953	68	40	objectives	objective	NOUN
ejpam-5953	68	41	,	,	PUNCT
ejpam-5953	68	42	research	research	NOUN
ejpam-5953	68	43	questions	question	NOUN
ejpam-5953	68	44	,	,	PUNCT
ejpam-5953	68	45	and	and	CCONJ
ejpam-5953	68	46	hypotheses	hypothesis	NOUN
ejpam-5953	68	47	.	.	PUNCT
ejpam-5953	69	1	section	section	NOUN
ejpam-5953	69	2	2	2	NUM
ejpam-5953	69	3	has	have	VERB
ejpam-5953	69	4	the	the	DET
ejpam-5953	69	5	related	related	ADJ
ejpam-5953	69	6	work	work	NOUN
ejpam-5953	69	7	where	where	SCONJ
ejpam-5953	69	8	it	it	PRON
ejpam-5953	69	9	reviews	review	VERB
ejpam-5953	69	10	the	the	DET
ejpam-5953	69	11	existing	exist	VERB
ejpam-5953	69	12	literature	literature	NOUN
ejpam-5953	69	13	on	on	ADP
ejpam-5953	69	14	smart	smart	ADJ
ejpam-5953	69	15	grid	grid	NOUN
ejpam-5953	69	16	stability	stability	NOUN
ejpam-5953	69	17	,	,	PUNCT
ejpam-5953	69	18	renewable	renewable	ADJ
ejpam-5953	69	19	energy	energy	NOUN
ejpam-5953	69	20	integration	integration	NOUN
ejpam-5953	69	21	,	,	PUNCT
ejpam-5953	69	22	and	and	CCONJ
ejpam-5953	69	23	the	the	DET
ejpam-5953	69	24	application	application	NOUN
ejpam-5953	69	25	of	of	ADP
ejpam-5953	69	26	machine	machine	NOUN
ejpam-5953	69	27	learning	learn	VERB
ejpam-5953	69	28	techniques	technique	NOUN
ejpam-5953	69	29	in	in	ADP
ejpam-5953	69	30	this	this	DET
ejpam-5953	69	31	domain	domain	NOUN
ejpam-5953	69	32	,	,	PUNCT
ejpam-5953	69	33	identifying	identify	VERB
ejpam-5953	69	34	gaps	gap	NOUN
ejpam-5953	69	35	addressed	address	VERB
ejpam-5953	69	36	by	by	ADP
ejpam-5953	69	37	this	this	DET
ejpam-5953	69	38	research	research	NOUN
ejpam-5953	69	39	.	.	PUNCT
ejpam-5953	70	1	section	section	NOUN
ejpam-5953	70	2	3	3	NUM
ejpam-5953	70	3	has	have	VERB
ejpam-5953	70	4	the	the	DET
ejpam-5953	70	5	dataset	dataset	NOUN
ejpam-5953	70	6	and	and	CCONJ
ejpam-5953	70	7	methodology	methodology	NOUN
ejpam-5953	70	8	.	.	PUNCT
ejpam-5953	71	1	it	it	PRON
ejpam-5953	71	2	details	detail	VERB
ejpam-5953	71	3	the	the	DET
ejpam-5953	71	4	dataset	dataset	NOUN
ejpam-5953	71	5	used	use	VERB
ejpam-5953	71	6	,	,	PUNCT
ejpam-5953	71	7	including	include	VERB
ejpam-5953	71	8	its	its	PRON
ejpam-5953	71	9	key	key	ADJ
ejpam-5953	71	10	features	feature	NOUN
ejpam-5953	71	11	,	,	PUNCT
ejpam-5953	71	12	preprocessing	preprocesse	VERB
ejpam-5953	71	13	steps	step	NOUN
ejpam-5953	71	14	,	,	PUNCT
ejpam-5953	71	15	and	and	CCONJ
ejpam-5953	71	16	experimental	experimental	ADJ
ejpam-5953	71	17	setup	setup	NOUN
ejpam-5953	71	18	.	.	PUNCT
ejpam-5953	72	1	it	it	PRON
ejpam-5953	72	2	describes	describe	VERB
ejpam-5953	72	3	the	the	DET
ejpam-5953	72	4	machine	machine	NOUN
ejpam-5953	72	5	learning	learning	NOUN
ejpam-5953	72	6	models	model	NOUN
ejpam-5953	72	7	employed	employ	VERB
ejpam-5953	72	8	,	,	PUNCT
ejpam-5953	72	9	hyperparameter	hyperparameter	NOUN
ejpam-5953	72	10	optimization	optimization	NOUN
ejpam-5953	72	11	,	,	PUNCT
ejpam-5953	72	12	and	and	CCONJ
ejpam-5953	72	13	the	the	DET
ejpam-5953	72	14	evaluation	evaluation	NOUN
ejpam-5953	72	15	metrics	metric	NOUN
ejpam-5953	72	16	used	use	VERB
ejpam-5953	72	17	to	to	PART
ejpam-5953	72	18	measure	measure	VERB
ejpam-5953	72	19	performance	performance	NOUN
ejpam-5953	72	20	.	.	PUNCT
ejpam-5953	73	1	section	section	NOUN
ejpam-5953	73	2	4	4	NUM
ejpam-5953	73	3	has	have	VERB
ejpam-5953	73	4	the	the	DET
ejpam-5953	73	5	results	result	NOUN
ejpam-5953	73	6	and	and	CCONJ
ejpam-5953	73	7	the	the	DET
ejpam-5953	73	8	discussion	discussion	NOUN
ejpam-5953	73	9	.	.	PUNCT
ejpam-5953	74	1	it	it	PRON
ejpam-5953	74	2	presents	present	VERB
ejpam-5953	74	3	the	the	DET
ejpam-5953	74	4	findings	finding	NOUN
ejpam-5953	74	5	of	of	ADP
ejpam-5953	74	6	the	the	DET
ejpam-5953	74	7	study	study	NOUN
ejpam-5953	74	8	,	,	PUNCT
ejpam-5953	74	9	including	include	VERB
ejpam-5953	74	10	a	a	DET
ejpam-5953	74	11	comparison	comparison	NOUN
ejpam-5953	74	12	of	of	ADP
ejpam-5953	74	13	model	model	NOUN
ejpam-5953	74	14	performance	performance	NOUN
ejpam-5953	74	15	,	,	PUNCT
ejpam-5953	74	16	sensitivity	sensitivity	NOUN
ejpam-5953	74	17	analysis	analysis	NOUN
ejpam-5953	74	18	,	,	PUNCT
ejpam-5953	74	19	and	and	CCONJ
ejpam-5953	74	20	the	the	DET
ejpam-5953	74	21	implications	implication	NOUN
ejpam-5953	74	22	of	of	ADP
ejpam-5953	74	23	key	key	ADJ
ejpam-5953	74	24	parameters	parameter	NOUN
ejpam-5953	74	25	on	on	ADP
ejpam-5953	74	26	grid	grid	NOUN
ejpam-5953	74	27	stability	stability	NOUN
ejpam-5953	74	28	.	.	PUNCT
ejpam-5953	75	1	the	the	DET
ejpam-5953	75	2	section	section	NOUN
ejpam-5953	75	3	also	also	ADV
ejpam-5953	75	4	discusses	discuss	VERB
ejpam-5953	75	5	the	the	DET
ejpam-5953	75	6	trade	trade	NOUN
ejpam-5953	75	7	-	-	PUNCT
ejpam-5953	75	8	offs	off	NOUN
ejpam-5953	75	9	identified	identify	VERB
ejpam-5953	75	10	during	during	ADP
ejpam-5953	75	11	the	the	DET
ejpam-5953	75	12	experiments	experiment	NOUN
ejpam-5953	75	13	and	and	CCONJ
ejpam-5953	75	14	their	their	PRON
ejpam-5953	75	15	practical	practical	ADJ
ejpam-5953	75	16	implications	implication	NOUN
ejpam-5953	75	17	.	.	PUNCT
ejpam-5953	76	1	section	section	NOUN
ejpam-5953	76	2	5	5	NUM
ejpam-5953	76	3	has	have	VERB
ejpam-5953	76	4	the	the	DET
ejpam-5953	76	5	conclusion	conclusion	NOUN
ejpam-5953	76	6	and	and	CCONJ
ejpam-5953	76	7	the	the	DET
ejpam-5953	76	8	future	future	ADJ
ejpam-5953	76	9	work	work	NOUN
ejpam-5953	76	10	:	:	PUNCT
ejpam-5953	76	11	summarizes	summarize	VERB
ejpam-5953	76	12	the	the	DET
ejpam-5953	76	13	main	main	ADJ
ejpam-5953	76	14	contributions	contribution	NOUN
ejpam-5953	76	15	of	of	ADP
ejpam-5953	76	16	the	the	DET
ejpam-5953	76	17	study	study	NOUN
ejpam-5953	76	18	,	,	PUNCT
ejpam-5953	76	19	outlines	outline	VERB
ejpam-5953	76	20	its	its	PRON
ejpam-5953	76	21	limitations	limitation	NOUN
ejpam-5953	76	22	,	,	PUNCT
ejpam-5953	76	23	and	and	CCONJ
ejpam-5953	76	24	suggests	suggest	VERB
ejpam-5953	76	25	directions	direction	NOUN
ejpam-5953	76	26	for	for	ADP
ejpam-5953	76	27	future	future	ADJ
ejpam-5953	76	28	research	research	NOUN
ejpam-5953	76	29	,	,	PUNCT
ejpam-5953	76	30	including	include	VERB
ejpam-5953	76	31	real	real	ADJ
ejpam-5953	76	32	-	-	PUNCT
ejpam-5953	76	33	world	world	NOUN
ejpam-5953	76	34	validation	validation	NOUN
ejpam-5953	76	35	and	and	CCONJ
ejpam-5953	76	36	the	the	DET
ejpam-5953	76	37	integration	integration	NOUN
ejpam-5953	76	38	of	of	ADP
ejpam-5953	76	39	iot	iot	NOUN
ejpam-5953	76	40	-	-	PUNCT
ejpam-5953	76	41	based	base	VERB
ejpam-5953	76	42	solutions	solution	NOUN
ejpam-5953	76	43	for	for	ADP
ejpam-5953	76	44	smart	smart	ADJ
ejpam-5953	76	45	grid	grid	NOUN
ejpam-5953	76	46	stability	stability	NOUN
ejpam-5953	76	47	.	.	PUNCT
ejpam-5953	77	1	by	by	ADP
ejpam-5953	77	2	addressing	address	VERB
ejpam-5953	77	3	these	these	DET
ejpam-5953	77	4	aspects	aspect	NOUN
ejpam-5953	77	5	,	,	PUNCT
ejpam-5953	77	6	this	this	DET
ejpam-5953	77	7	research	research	NOUN
ejpam-5953	77	8	contributes	contribute	VERB
ejpam-5953	77	9	to	to	ADP
ejpam-5953	77	10	advancing	advance	VERB
ejpam-5953	77	11	the	the	DET
ejpam-5953	77	12	integration	integration	NOUN
ejpam-5953	77	13	of	of	ADP
ejpam-5953	77	14	renewable	renewable	ADJ
ejpam-5953	77	15	energy	energy	NOUN
ejpam-5953	77	16	into	into	ADP
ejpam-5953	77	17	smart	smart	ADJ
ejpam-5953	77	18	grids	grid	NOUN
ejpam-5953	77	19	while	while	SCONJ
ejpam-5953	77	20	enhancing	enhance	VERB
ejpam-5953	77	21	their	their	PRON
ejpam-5953	77	22	stability	stability	NOUN
ejpam-5953	77	23	and	and	CCONJ
ejpam-5953	77	24	efficiency	efficiency	NOUN
ejpam-5953	77	25	through	through	ADP
ejpam-5953	77	26	the	the	DET
ejpam-5953	77	27	application	application	NOUN
ejpam-5953	77	28	of	of	ADP
ejpam-5953	77	29	machine	machine	NOUN
ejpam-5953	77	30	learning	learn	VERB
ejpam-5953	77	31	techniques	technique	NOUN
ejpam-5953	77	32	.	.	PUNCT
ejpam-5953	78	1	2	2	X
ejpam-5953	78	2	.	.	X
ejpam-5953	78	3	related	relate	VERB
ejpam-5953	78	4	work	work	NOUN
ejpam-5953	78	5	the	the	DET
ejpam-5953	78	6	integration	integration	NOUN
ejpam-5953	78	7	of	of	ADP
ejpam-5953	78	8	renewable	renewable	ADJ
ejpam-5953	78	9	energy	energy	NOUN
ejpam-5953	78	10	sources	source	NOUN
ejpam-5953	78	11	(	(	PUNCT
ejpam-5953	78	12	ress	ress	NOUN
ejpam-5953	78	13	)	)	PUNCT
ejpam-5953	78	14	into	into	ADP
ejpam-5953	78	15	power	power	NOUN
ejpam-5953	78	16	grids	grid	NOUN
ejpam-5953	78	17	introduces	introduce	VERB
ejpam-5953	78	18	significant	significant	ADJ
ejpam-5953	78	19	challenges	challenge	NOUN
ejpam-5953	78	20	due	due	ADP
ejpam-5953	78	21	to	to	ADP
ejpam-5953	78	22	their	their	PRON
ejpam-5953	78	23	intermittent	intermittent	ADJ
ejpam-5953	78	24	and	and	CCONJ
ejpam-5953	78	25	unpredictable	unpredictable	ADJ
ejpam-5953	78	26	nature	nature	NOUN
ejpam-5953	78	27	,	,	PUNCT
ejpam-5953	78	28	which	which	PRON
ejpam-5953	78	29	can	can	AUX
ejpam-5953	78	30	compromise	compromise	VERB
ejpam-5953	78	31	grid	grid	NOUN
ejpam-5953	78	32	stability	stability	NOUN
ejpam-5953	78	33	.	.	PUNCT
ejpam-5953	79	1	traditional	traditional	ADJ
ejpam-5953	79	2	centralized	centralize	VERB
ejpam-5953	79	3	control	control	NOUN
ejpam-5953	79	4	mechanisms	mechanism	NOUN
ejpam-5953	79	5	are	be	AUX
ejpam-5953	79	6	often	often	ADV
ejpam-5953	79	7	inadequate	inadequate	ADJ
ejpam-5953	79	8	for	for	ADP
ejpam-5953	79	9	managing	manage	VERB
ejpam-5953	79	10	the	the	DET
ejpam-5953	79	11	complexities	complexity	NOUN
ejpam-5953	79	12	associated	associate	VERB
ejpam-5953	79	13	with	with	ADP
ejpam-5953	79	14	distributed	distribute	VERB
ejpam-5953	79	15	ress	ress	NOUN
ejpam-5953	79	16	.	.	PUNCT
ejpam-5953	80	1	consequently	consequently	ADV
ejpam-5953	80	2	,	,	PUNCT
ejpam-5953	80	3	there	there	PRON
ejpam-5953	80	4	is	be	VERB
ejpam-5953	80	5	a	a	DET
ejpam-5953	80	6	growing	grow	VERB
ejpam-5953	80	7	interest	interest	NOUN
ejpam-5953	80	8	in	in	ADP
ejpam-5953	80	9	leveraging	leverage	VERB
ejpam-5953	80	10	machine	machine	NOUN
ejpam-5953	80	11	learning	learning	NOUN
ejpam-5953	80	12	(	(	PUNCT
ejpam-5953	80	13	ml	ml	NOUN
ejpam-5953	80	14	)	)	PUNCT
ejpam-5953	80	15	techniques	technique	NOUN
ejpam-5953	80	16	to	to	PART
ejpam-5953	80	17	enhance	enhance	VERB
ejpam-5953	80	18	grid	grid	NOUN
ejpam-5953	80	19	stability	stability	NOUN
ejpam-5953	80	20	in	in	ADP
ejpam-5953	80	21	the	the	DET
ejpam-5953	80	22	context	context	NOUN
ejpam-5953	80	23	of	of	ADP
ejpam-5953	80	24	res	re	NOUN
ejpam-5953	80	25	integration	integration	NOUN
ejpam-5953	80	26	.	.	PUNCT
ejpam-5953	81	1	recent	recent	ADJ
ejpam-5953	81	2	studies	study	NOUN
ejpam-5953	81	3	have	have	AUX
ejpam-5953	81	4	demonstrated	demonstrate	VERB
ejpam-5953	81	5	the	the	DET
ejpam-5953	81	6	efficacy	efficacy	NOUN
ejpam-5953	81	7	of	of	ADP
ejpam-5953	81	8	ml	ml	PROPN
ejpam-5953	81	9	models	model	NOUN
ejpam-5953	81	10	in	in	ADP
ejpam-5953	81	11	predicting	predict	VERB
ejpam-5953	81	12	and	and	CCONJ
ejpam-5953	81	13	mitigating	mitigate	VERB
ejpam-5953	81	14	grid	grid	NOUN
ejpam-5953	81	15	instability	instability	NOUN
ejpam-5953	81	16	.	.	PUNCT
ejpam-5953	82	1	for	for	ADP
ejpam-5953	82	2	instance	instance	NOUN
ejpam-5953	82	3	,	,	PUNCT
ejpam-5953	82	4	[	[	X
ejpam-5953	82	5	16	16	NUM
ejpam-5953	82	6	]	]	PUNCT
ejpam-5953	82	7	proposed	propose	VERB
ejpam-5953	82	8	a	a	DET
ejpam-5953	82	9	deep	deep	ADJ
ejpam-5953	82	10	learning	learning	NOUN
ejpam-5953	82	11	-	-	PUNCT
ejpam-5953	82	12	based	base	VERB
ejpam-5953	82	13	approach	approach	NOUN
ejpam-5953	82	14	using	use	VERB
ejpam-5953	82	15	long	long	ADJ
ejpam-5953	82	16	short	short	ADJ
ejpam-5953	82	17	-	-	PUNCT
ejpam-5953	82	18	term	term	NOUN
ejpam-5953	82	19	memory	memory	NOUN
ejpam-5953	82	20	(	(	PUNCT
ejpam-5953	82	21	lstm	lstm	NOUN
ejpam-5953	82	22	)	)	PUNCT
ejpam-5953	82	23	networks	network	NOUN
ejpam-5953	82	24	to	to	PART
ejpam-5953	82	25	predict	predict	VERB
ejpam-5953	82	26	short	short	ADJ
ejpam-5953	82	27	-	-	PUNCT
ejpam-5953	82	28	term	term	NOUN
ejpam-5953	82	29	energy	energy	NOUN
ejpam-5953	82	30	demand	demand	NOUN
ejpam-5953	82	31	in	in	ADP
ejpam-5953	82	32	smart	smart	PROPN
ejpam-5953	82	33	k.	k.	PROPN
ejpam-5953	82	34	danach	danach	PROPN
ejpam-5953	82	35	,	,	PUNCT
ejpam-5953	82	36	w.	w.	PROPN
ejpam-5953	82	37	h.	h.	PROPN
ejpam-5953	82	38	f.	f.	PROPN
ejpam-5953	82	39	aly	aly	PROPN
ejpam-5953	82	40	,	,	PUNCT
ejpam-5953	82	41	h.	h.	PROPN
ejpam-5953	82	42	kanj	kanj	PROPN
ejpam-5953	82	43	/	/	PUNCT
ejpam-5953	82	44	eur	eur	PROPN
ejpam-5953	82	45	.	.	PUNCT
ejpam-5953	83	1	j.	j.	PROPN
ejpam-5953	83	2	pure	pure	PROPN
ejpam-5953	83	3	appl	appl	PROPN
ejpam-5953	83	4	.	.	PROPN
ejpam-5953	83	5	math	math	PROPN
ejpam-5953	83	6	,	,	PUNCT
ejpam-5953	83	7	18	18	NUM
ejpam-5953	83	8	(	(	PUNCT
ejpam-5953	83	9	2	2	NUM
ejpam-5953	83	10	)	)	PUNCT
ejpam-5953	83	11	(	(	PUNCT
ejpam-5953	83	12	2025	2025	NUM
ejpam-5953	83	13	)	)	PUNCT
ejpam-5953	83	14	,	,	PUNCT
ejpam-5953	83	15	5953	5953	NUM
ejpam-5953	83	16	6	6	NUM
ejpam-5953	83	17	of	of	ADP
ejpam-5953	83	18	20	20	NUM
ejpam-5953	83	19	grids	grid	NOUN
ejpam-5953	83	20	,	,	PUNCT
ejpam-5953	83	21	facilitating	facilitate	VERB
ejpam-5953	83	22	better	well	ADJ
ejpam-5953	83	23	integration	integration	NOUN
ejpam-5953	83	24	of	of	ADP
ejpam-5953	83	25	ress	ress	NOUN
ejpam-5953	83	26	and	and	CCONJ
ejpam-5953	83	27	contributing	contribute	VERB
ejpam-5953	83	28	to	to	ADP
ejpam-5953	83	29	sustainable	sustainable	ADJ
ejpam-5953	83	30	development	development	NOUN
ejpam-5953	83	31	goals	goal	NOUN
ejpam-5953	83	32	.	.	PUNCT
ejpam-5953	84	1	similarly	similarly	ADV
ejpam-5953	84	2	,	,	PUNCT
ejpam-5953	84	3	[	[	X
ejpam-5953	84	4	18	18	NUM
ejpam-5953	84	5	,	,	PUNCT
ejpam-5953	84	6	32	32	NUM
ejpam-5953	84	7	]	]	PUNCT
ejpam-5953	84	8	developed	develop	VERB
ejpam-5953	84	9	a	a	DET
ejpam-5953	84	10	framework	framework	NOUN
ejpam-5953	84	11	combining	combine	VERB
ejpam-5953	84	12	reinforcement	reinforcement	NOUN
ejpam-5953	84	13	learning	learning	NOUN
ejpam-5953	84	14	and	and	CCONJ
ejpam-5953	84	15	time	time	NOUN
ejpam-5953	84	16	-	-	PUNCT
ejpam-5953	84	17	series	series	NOUN
ejpam-5953	84	18	forecasting	forecasting	NOUN
ejpam-5953	84	19	to	to	PART
ejpam-5953	84	20	address	address	VERB
ejpam-5953	84	21	uncertainties	uncertainty	NOUN
ejpam-5953	84	22	in	in	ADP
ejpam-5953	84	23	wind	wind	NOUN
ejpam-5953	84	24	and	and	CCONJ
ejpam-5953	84	25	photovoltaic	photovoltaic	VERB
ejpam-5953	84	26	energy	energy	NOUN
ejpam-5953	84	27	sources	source	NOUN
ejpam-5953	84	28	,	,	PUNCT
ejpam-5953	84	29	thereby	thereby	ADV
ejpam-5953	84	30	enhancing	enhance	VERB
ejpam-5953	84	31	energy	energy	NOUN
ejpam-5953	84	32	management	management	NOUN
ejpam-5953	84	33	in	in	ADP
ejpam-5953	84	34	microgrids	microgrid	NOUN
ejpam-5953	84	35	.	.	PUNCT
ejpam-5953	85	1	moreover	moreover	ADV
ejpam-5953	85	2	,	,	PUNCT
ejpam-5953	85	3	the	the	DET
ejpam-5953	85	4	application	application	NOUN
ejpam-5953	85	5	of	of	ADP
ejpam-5953	85	6	reinforcement	reinforcement	NOUN
ejpam-5953	85	7	learning	learning	NOUN
ejpam-5953	85	8	(	(	PUNCT
ejpam-5953	85	9	rl	rl	NOUN
ejpam-5953	85	10	)	)	PUNCT
ejpam-5953	85	11	in	in	ADP
ejpam-5953	85	12	grid	grid	NOUN
ejpam-5953	85	13	stability	stability	NOUN
ejpam-5953	85	14	has	have	AUX
ejpam-5953	85	15	been	be	AUX
ejpam-5953	85	16	explored	explore	VERB
ejpam-5953	85	17	.	.	PUNCT
ejpam-5953	86	1	a	a	DET
ejpam-5953	86	2	study	study	NOUN
ejpam-5953	86	3	by	by	ADP
ejpam-5953	86	4	[	[	X
ejpam-5953	86	5	22	22	NUM
ejpam-5953	86	6	,	,	PUNCT
ejpam-5953	86	7	33	33	NUM
ejpam-5953	86	8	]	]	PUNCT
ejpam-5953	86	9	introduced	introduce	VERB
ejpam-5953	86	10	a	a	DET
ejpam-5953	86	11	machine	machine	NOUN
ejpam-5953	86	12	learning	learning	NOUN
ejpam-5953	86	13	-	-	PUNCT
ejpam-5953	86	14	based	base	VERB
ejpam-5953	86	15	optimal	optimal	ADJ
ejpam-5953	86	16	feedback	feedback	NOUN
ejpam-5953	86	17	control	control	NOUN
ejpam-5953	86	18	scheme	scheme	NOUN
ejpam-5953	86	19	for	for	ADP
ejpam-5953	86	20	microgrid	microgrid	NOUN
ejpam-5953	86	21	stabilization	stabilization	NOUN
ejpam-5953	86	22	,	,	PUNCT
ejpam-5953	86	23	utilizing	utilize	VERB
ejpam-5953	86	24	neural	neural	ADJ
ejpam-5953	86	25	networks	network	NOUN
ejpam-5953	86	26	to	to	PART
ejpam-5953	86	27	manage	manage	VERB
ejpam-5953	86	28	energy	energy	NOUN
ejpam-5953	86	29	storage	storage	NOUN
ejpam-5953	86	30	systems	system	NOUN
ejpam-5953	86	31	and	and	CCONJ
ejpam-5953	86	32	improve	improve	VERB
ejpam-5953	86	33	system	system	NOUN
ejpam-5953	86	34	resilience	resilience	NOUN
ejpam-5953	86	35	.	.	PUNCT
ejpam-5953	87	1	additionally	additionally	ADV
ejpam-5953	87	2	,	,	PUNCT
ejpam-5953	87	3	[	[	X
ejpam-5953	87	4	24	24	NUM
ejpam-5953	87	5	]	]	PUNCT
ejpam-5953	87	6	presented	present	VERB
ejpam-5953	87	7	a	a	DET
ejpam-5953	87	8	framework	framework	NOUN
ejpam-5953	87	9	for	for	ADP
ejpam-5953	87	10	trustworthy	trustworthy	ADJ
ejpam-5953	87	11	ml	ml	NOUN
ejpam-5953	87	12	in	in	ADP
ejpam-5953	87	13	power	power	NOUN
ejpam-5953	87	14	systems	system	NOUN
ejpam-5953	87	15	,	,	PUNCT
ejpam-5953	87	16	emphasizing	emphasize	VERB
ejpam-5953	87	17	the	the	DET
ejpam-5953	87	18	importance	importance	NOUN
ejpam-5953	87	19	of	of	ADP
ejpam-5953	87	20	reliable	reliable	ADJ
ejpam-5953	87	21	dataset	dataset	NOUN
ejpam-5953	87	22	generation	generation	NOUN
ejpam-5953	87	23	and	and	CCONJ
ejpam-5953	87	24	model	model	NOUN
ejpam-5953	87	25	assessment	assessment	NOUN
ejpam-5953	87	26	in	in	ADP
ejpam-5953	87	27	maintaining	maintain	VERB
ejpam-5953	87	28	grid	grid	NOUN
ejpam-5953	87	29	stability	stability	NOUN
ejpam-5953	87	30	.	.	PUNCT
ejpam-5953	88	1	machine	machine	NOUN
ejpam-5953	88	2	learning	learning	NOUN
ejpam-5953	88	3	(	(	PUNCT
ejpam-5953	88	4	ml	ml	NOUN
ejpam-5953	88	5	)	)	PUNCT
ejpam-5953	88	6	has	have	AUX
ejpam-5953	88	7	emerged	emerge	VERB
ejpam-5953	88	8	as	as	ADP
ejpam-5953	88	9	a	a	DET
ejpam-5953	88	10	transformative	transformative	ADJ
ejpam-5953	88	11	tool	tool	NOUN
ejpam-5953	88	12	in	in	ADP
ejpam-5953	88	13	optimizing	optimize	VERB
ejpam-5953	88	14	energy	energy	NOUN
ejpam-5953	88	15	efficiency	efficiency	NOUN
ejpam-5953	88	16	by	by	ADP
ejpam-5953	88	17	analyzing	analyze	VERB
ejpam-5953	88	18	intricate	intricate	ADJ
ejpam-5953	88	19	consumption	consumption	NOUN
ejpam-5953	88	20	patterns	pattern	NOUN
ejpam-5953	88	21	,	,	PUNCT
ejpam-5953	88	22	predicting	predict	VERB
ejpam-5953	88	23	future	future	ADJ
ejpam-5953	88	24	demand	demand	NOUN
ejpam-5953	88	25	,	,	PUNCT
ejpam-5953	88	26	and	and	CCONJ
ejpam-5953	88	27	enhancing	enhance	VERB
ejpam-5953	88	28	load	load	NOUN
ejpam-5953	88	29	management	management	NOUN
ejpam-5953	88	30	across	across	ADP
ejpam-5953	88	31	various	various	ADJ
ejpam-5953	88	32	sectors	sector	NOUN
ejpam-5953	88	33	.	.	PUNCT
ejpam-5953	89	1	the	the	DET
ejpam-5953	89	2	integration	integration	NOUN
ejpam-5953	89	3	of	of	ADP
ejpam-5953	89	4	ml	ml	NOUN
ejpam-5953	89	5	with	with	ADP
ejpam-5953	89	6	iot	iot	PROPN
ejpam-5953	89	7	devices	device	NOUN
ejpam-5953	89	8	in	in	ADP
ejpam-5953	89	9	smart	smart	ADJ
ejpam-5953	89	10	buildings	building	NOUN
ejpam-5953	89	11	enables	enable	VERB
ejpam-5953	89	12	real	real	ADJ
ejpam-5953	89	13	-	-	PUNCT
ejpam-5953	89	14	time	time	NOUN
ejpam-5953	89	15	data	datum	NOUN
ejpam-5953	89	16	collection	collection	NOUN
ejpam-5953	89	17	and	and	CCONJ
ejpam-5953	89	18	energy	energy	NOUN
ejpam-5953	89	19	optimization	optimization	NOUN
ejpam-5953	89	20	strategies	strategy	NOUN
ejpam-5953	89	21	.	.	PUNCT
ejpam-5953	90	1	additionally	additionally	ADV
ejpam-5953	90	2	,	,	PUNCT
ejpam-5953	90	3	ml	ml	VERB
ejpam-5953	90	4	plays	play	VERB
ejpam-5953	90	5	a	a	DET
ejpam-5953	90	6	crucial	crucial	ADJ
ejpam-5953	90	7	role	role	NOUN
ejpam-5953	90	8	in	in	ADP
ejpam-5953	90	9	renewable	renewable	ADJ
ejpam-5953	90	10	energy	energy	NOUN
ejpam-5953	90	11	integration	integration	NOUN
ejpam-5953	90	12	and	and	CCONJ
ejpam-5953	90	13	predictive	predictive	ADJ
ejpam-5953	90	14	maintenance	maintenance	NOUN
ejpam-5953	90	15	,	,	PUNCT
ejpam-5953	90	16	offering	offer	VERB
ejpam-5953	90	17	significant	significant	ADJ
ejpam-5953	90	18	advancements	advancement	NOUN
ejpam-5953	90	19	in	in	ADP
ejpam-5953	90	20	energy	energy	NOUN
ejpam-5953	90	21	conservation	conservation	NOUN
ejpam-5953	90	22	and	and	CCONJ
ejpam-5953	90	23	sustainability	sustainability	NOUN
ejpam-5953	90	24	[	[	X
ejpam-5953	90	25	34	34	NUM
ejpam-5953	90	26	]	]	PUNCT
ejpam-5953	90	27	.	.	PUNCT
ejpam-5953	91	1	the	the	DET
ejpam-5953	91	2	integration	integration	NOUN
ejpam-5953	91	3	of	of	ADP
ejpam-5953	91	4	ml	ml	ADV
ejpam-5953	91	5	-	-	PUNCT
ejpam-5953	91	6	driven	drive	VERB
ejpam-5953	91	7	control	control	NOUN
ejpam-5953	91	8	strategies	strategy	NOUN
ejpam-5953	91	9	has	have	AUX
ejpam-5953	91	10	also	also	ADV
ejpam-5953	91	11	been	be	AUX
ejpam-5953	91	12	investigated	investigate	VERB
ejpam-5953	91	13	.	.	PUNCT
ejpam-5953	92	1	for	for	ADP
ejpam-5953	92	2	example	example	NOUN
ejpam-5953	92	3	,	,	PUNCT
ejpam-5953	92	4	a	a	DET
ejpam-5953	92	5	study	study	NOUN
ejpam-5953	92	6	examined	examine	VERB
ejpam-5953	92	7	the	the	DET
ejpam-5953	92	8	use	use	NOUN
ejpam-5953	92	9	of	of	ADP
ejpam-5953	92	10	reinforcement	reinforcement	NOUN
ejpam-5953	92	11	learning	learning	NOUN
ejpam-5953	92	12	and	and	CCONJ
ejpam-5953	92	13	support	support	VERB
ejpam-5953	92	14	vector	vector	NOUN
ejpam-5953	92	15	regression	regression	NOUN
ejpam-5953	92	16	techniques	technique	NOUN
ejpam-5953	92	17	to	to	PART
ejpam-5953	92	18	regulate	regulate	VERB
ejpam-5953	92	19	grid	grid	NOUN
ejpam-5953	92	20	frequency	frequency	NOUN
ejpam-5953	92	21	and	and	CCONJ
ejpam-5953	92	22	voltage	voltage	NOUN
ejpam-5953	92	23	during	during	ADP
ejpam-5953	92	24	res	re	NOUN
ejpam-5953	92	25	integration	integration	NOUN
ejpam-5953	92	26	,	,	PUNCT
ejpam-5953	92	27	highlighting	highlight	VERB
ejpam-5953	92	28	the	the	DET
ejpam-5953	92	29	potential	potential	NOUN
ejpam-5953	92	30	of	of	ADP
ejpam-5953	92	31	ml	ml	NOUN
ejpam-5953	92	32	in	in	ADP
ejpam-5953	92	33	enhancing	enhance	VERB
ejpam-5953	92	34	grid	grid	NOUN
ejpam-5953	92	35	reliability	reliability	NOUN
ejpam-5953	92	36	[	[	X
ejpam-5953	92	37	35–38	35–38	NUM
ejpam-5953	92	38	]	]	X
ejpam-5953	92	39	.	.	PUNCT
ejpam-5953	93	1	furthermore	furthermore	ADV
ejpam-5953	93	2	,	,	PUNCT
ejpam-5953	93	3	the	the	DET
ejpam-5953	93	4	development	development	NOUN
ejpam-5953	93	5	of	of	ADP
ejpam-5953	93	6	hybrid	hybrid	ADJ
ejpam-5953	93	7	deep	deep	ADJ
ejpam-5953	93	8	learning	learning	NOUN
ejpam-5953	93	9	approaches	approach	NOUN
ejpam-5953	93	10	has	have	AUX
ejpam-5953	93	11	been	be	AUX
ejpam-5953	93	12	proposed	propose	VERB
ejpam-5953	93	13	to	to	PART
ejpam-5953	93	14	predict	predict	VERB
ejpam-5953	93	15	smart	smart	ADJ
ejpam-5953	93	16	grid	grid	NOUN
ejpam-5953	93	17	stability	stability	NOUN
ejpam-5953	93	18	,	,	PUNCT
ejpam-5953	93	19	addressing	address	VERB
ejpam-5953	93	20	the	the	DET
ejpam-5953	93	21	challenges	challenge	NOUN
ejpam-5953	93	22	posed	pose	VERB
ejpam-5953	93	23	by	by	ADP
ejpam-5953	93	24	the	the	DET
ejpam-5953	93	25	increasing	increase	VERB
ejpam-5953	93	26	adoption	adoption	NOUN
ejpam-5953	93	27	of	of	ADP
ejpam-5953	93	28	ress	ress	NOUN
ejpam-5953	93	29	[	[	X
ejpam-5953	93	30	39–44	39–44	NUM
ejpam-5953	93	31	]	]	PUNCT
ejpam-5953	93	32	.	.	PUNCT
ejpam-5953	94	1	despite	despite	SCONJ
ejpam-5953	94	2	these	these	DET
ejpam-5953	94	3	advancements	advancement	NOUN
ejpam-5953	94	4	,	,	PUNCT
ejpam-5953	94	5	challenges	challenge	NOUN
ejpam-5953	94	6	remain	remain	VERB
ejpam-5953	94	7	in	in	ADP
ejpam-5953	94	8	the	the	DET
ejpam-5953	94	9	practical	practical	ADJ
ejpam-5953	94	10	implementation	implementation	NOUN
ejpam-5953	94	11	of	of	ADP
ejpam-5953	94	12	ml	ml	NOUN
ejpam-5953	94	13	models	model	NOUN
ejpam-5953	94	14	for	for	ADP
ejpam-5953	94	15	grid	grid	NOUN
ejpam-5953	94	16	stability	stability	NOUN
ejpam-5953	94	17	.	.	PUNCT
ejpam-5953	95	1	issues	issue	NOUN
ejpam-5953	95	2	such	such	ADJ
ejpam-5953	95	3	as	as	ADP
ejpam-5953	95	4	data	datum	NOUN
ejpam-5953	95	5	quality	quality	NOUN
ejpam-5953	95	6	,	,	PUNCT
ejpam-5953	95	7	model	model	NOUN
ejpam-5953	95	8	interpretability	interpretability	NOUN
ejpam-5953	95	9	,	,	PUNCT
ejpam-5953	95	10	and	and	CCONJ
ejpam-5953	95	11	the	the	DET
ejpam-5953	95	12	need	need	NOUN
ejpam-5953	95	13	for	for	ADP
ejpam-5953	95	14	real	real	ADJ
ejpam-5953	95	15	-	-	PUNCT
ejpam-5953	95	16	time	time	NOUN
ejpam-5953	95	17	processing	processing	NOUN
ejpam-5953	95	18	capabilities	capability	NOUN
ejpam-5953	95	19	are	be	AUX
ejpam-5953	95	20	critical	critical	ADJ
ejpam-5953	95	21	considerations	consideration	NOUN
ejpam-5953	95	22	for	for	ADP
ejpam-5953	95	23	future	future	ADJ
ejpam-5953	95	24	research	research	NOUN
ejpam-5953	95	25	.	.	PUNCT
ejpam-5953	96	1	nonetheless	nonetheless	ADV
ejpam-5953	96	2	,	,	PUNCT
ejpam-5953	96	3	the	the	DET
ejpam-5953	96	4	convergence	convergence	NOUN
ejpam-5953	96	5	of	of	ADP
ejpam-5953	96	6	ml	ml	NOUN
ejpam-5953	96	7	and	and	CCONJ
ejpam-5953	96	8	power	power	NOUN
ejpam-5953	96	9	system	system	NOUN
ejpam-5953	96	10	engineering	engineering	NOUN
ejpam-5953	96	11	holds	hold	VERB
ejpam-5953	96	12	significant	significant	ADJ
ejpam-5953	96	13	promise	promise	NOUN
ejpam-5953	96	14	for	for	ADP
ejpam-5953	96	15	developing	develop	VERB
ejpam-5953	96	16	robust	robust	ADJ
ejpam-5953	96	17	solutions	solution	NOUN
ejpam-5953	96	18	to	to	PART
ejpam-5953	96	19	ensure	ensure	VERB
ejpam-5953	96	20	grid	grid	NOUN
ejpam-5953	96	21	stability	stability	NOUN
ejpam-5953	96	22	in	in	ADP
ejpam-5953	96	23	the	the	DET
ejpam-5953	96	24	era	era	NOUN
ejpam-5953	96	25	of	of	ADP
ejpam-5953	96	26	renewable	renewable	ADJ
ejpam-5953	96	27	energy	energy	NOUN
ejpam-5953	96	28	integration	integration	NOUN
ejpam-5953	96	29	.	.	PUNCT
ejpam-5953	97	1	3	3	X
ejpam-5953	97	2	.	.	X
ejpam-5953	97	3	methodology	methodology	NOUN
ejpam-5953	97	4	this	this	DET
ejpam-5953	97	5	study	study	NOUN
ejpam-5953	97	6	utilizes	utilize	VERB
ejpam-5953	97	7	the	the	DET
ejpam-5953	97	8	electrical	electrical	ADJ
ejpam-5953	97	9	grid	grid	NOUN
ejpam-5953	97	10	stability	stability	NOUN
ejpam-5953	97	11	simulated	simulate	VERB
ejpam-5953	97	12	dataset	dataset	NOUN
ejpam-5953	97	13	,	,	PUNCT
ejpam-5953	97	14	specifically	specifically	ADV
ejpam-5953	97	15	designed	design	VERB
ejpam-5953	97	16	for	for	ADP
ejpam-5953	97	17	assessing	assess	VERB
ejpam-5953	97	18	the	the	DET
ejpam-5953	97	19	stability	stability	NOUN
ejpam-5953	97	20	of	of	ADP
ejpam-5953	97	21	smart	smart	ADJ
ejpam-5953	97	22	grids	grid	NOUN
ejpam-5953	97	23	under	under	ADP
ejpam-5953	97	24	varying	vary	VERB
ejpam-5953	97	25	conditions	condition	NOUN
ejpam-5953	97	26	,	,	PUNCT
ejpam-5953	97	27	including	include	VERB
ejpam-5953	97	28	renewable	renewable	ADJ
ejpam-5953	97	29	energy	energy	NOUN
ejpam-5953	97	30	integration	integration	NOUN
ejpam-5953	97	31	.	.	PUNCT
ejpam-5953	98	1	the	the	DET
ejpam-5953	98	2	dataset	dataset	NOUN
ejpam-5953	98	3	provides	provide	VERB
ejpam-5953	98	4	a	a	DET
ejpam-5953	98	5	balanced	balanced	ADJ
ejpam-5953	98	6	representation	representation	NOUN
ejpam-5953	98	7	of	of	ADP
ejpam-5953	98	8	grid	grid	NOUN
ejpam-5953	98	9	states	state	NOUN
ejpam-5953	98	10	categorized	categorize	VERB
ejpam-5953	98	11	as	as	ADP
ejpam-5953	98	12	stable	stable	ADJ
ejpam-5953	98	13	or	or	CCONJ
ejpam-5953	98	14	unstable	unstable	ADJ
ejpam-5953	98	15	.	.	PUNCT
ejpam-5953	99	1	it	it	PRON
ejpam-5953	99	2	includes	include	VERB
ejpam-5953	99	3	features	feature	NOUN
ejpam-5953	99	4	such	such	ADJ
ejpam-5953	99	5	as	as	ADP
ejpam-5953	99	6	renewable	renewable	ADJ
ejpam-5953	99	7	energy	energy	NOUN
ejpam-5953	99	8	inputs	input	NOUN
ejpam-5953	99	9	,	,	PUNCT
ejpam-5953	99	10	operational	operational	ADJ
ejpam-5953	99	11	system	system	NOUN
ejpam-5953	99	12	parameters	parameter	NOUN
ejpam-5953	99	13	,	,	PUNCT
ejpam-5953	99	14	and	and	CCONJ
ejpam-5953	99	15	simulated	simulate	VERB
ejpam-5953	99	16	environmental	environmental	ADJ
ejpam-5953	99	17	and	and	CCONJ
ejpam-5953	99	18	noise	noise	NOUN
ejpam-5953	99	19	factors	factor	NOUN
ejpam-5953	99	20	.	.	PUNCT
ejpam-5953	100	1	these	these	DET
ejpam-5953	100	2	features	feature	NOUN
ejpam-5953	100	3	are	be	AUX
ejpam-5953	100	4	crucial	crucial	ADJ
ejpam-5953	100	5	for	for	ADP
ejpam-5953	100	6	building	build	VERB
ejpam-5953	100	7	predictive	predictive	ADJ
ejpam-5953	100	8	models	model	NOUN
ejpam-5953	100	9	to	to	PART
ejpam-5953	100	10	analyze	analyze	VERB
ejpam-5953	100	11	and	and	CCONJ
ejpam-5953	100	12	optimize	optimize	VERB
ejpam-5953	100	13	grid	grid	NOUN
ejpam-5953	100	14	stability	stability	NOUN
ejpam-5953	100	15	.	.	PUNCT
ejpam-5953	101	1	the	the	DET
ejpam-5953	101	2	dataset	dataset	NOUN
ejpam-5953	101	3	used	use	VERB
ejpam-5953	101	4	in	in	ADP
ejpam-5953	101	5	this	this	DET
ejpam-5953	101	6	study	study	NOUN
ejpam-5953	101	7	consists	consist	VERB
ejpam-5953	101	8	of	of	ADP
ejpam-5953	101	9	10,000	10,000	NUM
ejpam-5953	101	10	samples	sample	NOUN
ejpam-5953	101	11	,	,	PUNCT
ejpam-5953	101	12	where	where	SCONJ
ejpam-5953	101	13	each	each	DET
ejpam-5953	101	14	instance	instance	NOUN
ejpam-5953	101	15	represents	represent	VERB
ejpam-5953	101	16	a	a	DET
ejpam-5953	101	17	smart	smart	ADJ
ejpam-5953	101	18	grid	grid	NOUN
ejpam-5953	101	19	operational	operational	ADJ
ejpam-5953	101	20	state	state	NOUN
ejpam-5953	101	21	.	.	PUNCT
ejpam-5953	102	1	the	the	DET
ejpam-5953	102	2	key	key	ADJ
ejpam-5953	102	3	features	feature	NOUN
ejpam-5953	102	4	include	include	VERB
ejpam-5953	102	5	voltage	voltage	NOUN
ejpam-5953	102	6	,	,	PUNCT
ejpam-5953	102	7	current	current	ADJ
ejpam-5953	102	8	,	,	PUNCT
ejpam-5953	102	9	power	power	NOUN
ejpam-5953	102	10	flow	flow	NOUN
ejpam-5953	102	11	,	,	PUNCT
ejpam-5953	102	12	and	and	CCONJ
ejpam-5953	102	13	signal	signal	NOUN
ejpam-5953	102	14	-	-	PUNCT
ejpam-5953	102	15	to	to	ADP
ejpam-5953	102	16	-	-	PUNCT
ejpam-5953	102	17	noise	noise	NOUN
ejpam-5953	102	18	ratio	ratio	NOUN
ejpam-5953	102	19	(	(	PUNCT
ejpam-5953	102	20	snr	snr	PROPN
ejpam-5953	102	21	)	)	PUNCT
ejpam-5953	102	22	.	.	PUNCT
ejpam-5953	103	1	table	table	NOUN
ejpam-5953	103	2	1	1	NUM
ejpam-5953	103	3	provides	provide	VERB
ejpam-5953	103	4	the	the	DET
ejpam-5953	103	5	descriptive	descriptive	ADJ
ejpam-5953	103	6	statistics	statistic	NOUN
ejpam-5953	103	7	for	for	ADP
ejpam-5953	103	8	each	each	DET
ejpam-5953	103	9	feature	feature	NOUN
ejpam-5953	103	10	.	.	PUNCT
ejpam-5953	104	1	k.	k.	PROPN
ejpam-5953	104	2	danach	danach	PROPN
ejpam-5953	104	3	,	,	PUNCT
ejpam-5953	104	4	w.	w.	PROPN
ejpam-5953	104	5	h.	h.	PROPN
ejpam-5953	104	6	f.	f.	PROPN
ejpam-5953	104	7	aly	aly	PROPN
ejpam-5953	104	8	,	,	PUNCT
ejpam-5953	104	9	h.	h.	PROPN
ejpam-5953	104	10	kanj	kanj	PROPN
ejpam-5953	104	11	/	/	PUNCT
ejpam-5953	104	12	eur	eur	PROPN
ejpam-5953	104	13	.	.	PUNCT
ejpam-5953	105	1	j.	j.	PROPN
ejpam-5953	105	2	pure	pure	PROPN
ejpam-5953	105	3	appl	appl	PROPN
ejpam-5953	105	4	.	.	PROPN
ejpam-5953	105	5	math	math	PROPN
ejpam-5953	105	6	,	,	PUNCT
ejpam-5953	105	7	18	18	NUM
ejpam-5953	105	8	(	(	PUNCT
ejpam-5953	105	9	2	2	NUM
ejpam-5953	105	10	)	)	PUNCT
ejpam-5953	105	11	(	(	PUNCT
ejpam-5953	105	12	2025	2025	NUM
ejpam-5953	105	13	)	)	PUNCT
ejpam-5953	105	14	,	,	PUNCT
ejpam-5953	105	15	5953	5953	NUM
ejpam-5953	105	16	7	7	NUM
ejpam-5953	105	17	of	of	ADP
ejpam-5953	105	18	20	20	NUM
ejpam-5953	105	19	table	table	NOUN
ejpam-5953	105	20	1	1	NUM
ejpam-5953	105	21	:	:	PUNCT
ejpam-5953	105	22	dataset	dataset	VERB
ejpam-5953	105	23	summary	summary	NOUN
ejpam-5953	105	24	statistics	statistic	NOUN
ejpam-5953	105	25	feature	feature	NOUN
ejpam-5953	105	26	mean	mean	VERB
ejpam-5953	105	27	std	std	X
ejpam-5953	105	28	dev	dev	PROPN
ejpam-5953	105	29	min	min	PROPN
ejpam-5953	105	30	max	max	PROPN
ejpam-5953	105	31	voltage	voltage	NOUN
ejpam-5953	105	32	(	(	PUNCT
ejpam-5953	105	33	v	v	NOUN
ejpam-5953	105	34	)	)	PUNCT
ejpam-5953	105	35	230.1	230.1	NUM
ejpam-5953	105	36	10.2	10.2	NUM
ejpam-5953	105	37	200.3	200.3	NUM
ejpam-5953	105	38	259.7	259.7	NUM
ejpam-5953	105	39	current	current	ADJ
ejpam-5953	105	40	(	(	PUNCT
ejpam-5953	105	41	a	a	NOUN
ejpam-5953	105	42	)	)	PUNCT
ejpam-5953	105	43	10.1	10.1	NUM
ejpam-5953	105	44	1.9	1.9	NUM
ejpam-5953	105	45	5.2	5.2	NUM
ejpam-5953	105	46	14.8	14.8	NUM
ejpam-5953	105	47	power	power	NOUN
ejpam-5953	105	48	flow	flow	NOUN
ejpam-5953	105	49	(	(	PUNCT
ejpam-5953	105	50	kw	kw	NOUN
ejpam-5953	105	51	)	)	PUNCT
ejpam-5953	105	52	2.32	2.32	NUM
ejpam-5953	105	53	0.46	0.46	NUM
ejpam-5953	105	54	1.10	1.10	NUM
ejpam-5953	105	55	3.98	3.98	NUM
ejpam-5953	105	56	snr	snr	NOUN
ejpam-5953	105	57	(	(	PUNCT
ejpam-5953	105	58	db	db	PROPN
ejpam-5953	105	59	)	)	PUNCT
ejpam-5953	105	60	17.3	17.3	NUM
ejpam-5953	105	61	6.5	6.5	NUM
ejpam-5953	105	62	5.0	5.0	NUM
ejpam-5953	105	63	30.0	30.0	NUM
ejpam-5953	105	64	figure	figure	NOUN
ejpam-5953	105	65	2	2	NUM
ejpam-5953	105	66	:	:	PUNCT
ejpam-5953	105	67	distribution	distribution	NOUN
ejpam-5953	105	68	of	of	ADP
ejpam-5953	105	69	signal	signal	NOUN
ejpam-5953	105	70	-	-	PUNCT
ejpam-5953	105	71	to	to	ADP
ejpam-5953	105	72	-	-	PUNCT
ejpam-5953	105	73	noise	noise	NOUN
ejpam-5953	105	74	ratio	ratio	NOUN
ejpam-5953	105	75	(	(	PUNCT
ejpam-5953	105	76	snr	snr	PROPN
ejpam-5953	105	77	)	)	PUNCT
ejpam-5953	105	78	.	.	PUNCT
ejpam-5953	106	1	this	this	DET
ejpam-5953	106	2	histogram	histogram	NOUN
ejpam-5953	106	3	illustrates	illustrate	VERB
ejpam-5953	106	4	the	the	DET
ejpam-5953	106	5	frequency	frequency	NOUN
ejpam-5953	106	6	distribution	distribution	NOUN
ejpam-5953	106	7	of	of	ADP
ejpam-5953	106	8	snr	snr	NOUN
ejpam-5953	106	9	values	value	NOUN
ejpam-5953	106	10	in	in	ADP
ejpam-5953	106	11	the	the	DET
ejpam-5953	106	12	dataset	dataset	NOUN
ejpam-5953	106	13	,	,	PUNCT
ejpam-5953	106	14	ranging	range	VERB
ejpam-5953	106	15	from	from	ADP
ejpam-5953	106	16	0	0	NUM
ejpam-5953	106	17	to	to	ADP
ejpam-5953	106	18	10	10	NUM
ejpam-5953	106	19	.	.	PUNCT
ejpam-5953	107	1	the	the	DET
ejpam-5953	107	2	uniform	uniform	NOUN
ejpam-5953	107	3	spread	spread	NOUN
ejpam-5953	107	4	demonstrates	demonstrate	VERB
ejpam-5953	107	5	the	the	DET
ejpam-5953	107	6	dataset	dataset	NOUN
ejpam-5953	107	7	’s	’s	PART
ejpam-5953	107	8	ability	ability	NOUN
ejpam-5953	107	9	to	to	PART
ejpam-5953	107	10	represent	represent	VERB
ejpam-5953	107	11	diverse	diverse	ADJ
ejpam-5953	107	12	operational	operational	ADJ
ejpam-5953	107	13	conditions	condition	NOUN
ejpam-5953	107	14	of	of	ADP
ejpam-5953	107	15	the	the	DET
ejpam-5953	107	16	grid	grid	NOUN
ejpam-5953	107	17	.	.	PUNCT
ejpam-5953	108	1	3.1	3.1	NUM
ejpam-5953	108	2	.	.	PUNCT
ejpam-5953	108	3	exploratory	exploratory	ADJ
ejpam-5953	108	4	data	datum	NOUN
ejpam-5953	108	5	analysis	analysis	NOUN
ejpam-5953	108	6	(	(	PUNCT
ejpam-5953	108	7	eda	eda	X
ejpam-5953	108	8	)	)	PUNCT
ejpam-5953	108	9	to	to	PART
ejpam-5953	108	10	gain	gain	VERB
ejpam-5953	108	11	insights	insight	NOUN
ejpam-5953	108	12	into	into	ADP
ejpam-5953	108	13	the	the	DET
ejpam-5953	108	14	dataset	dataset	NOUN
ejpam-5953	108	15	and	and	CCONJ
ejpam-5953	108	16	identify	identify	VERB
ejpam-5953	108	17	key	key	ADJ
ejpam-5953	108	18	patterns	pattern	NOUN
ejpam-5953	108	19	,	,	PUNCT
ejpam-5953	108	20	exploratory	exploratory	ADJ
ejpam-5953	108	21	data	datum	NOUN
ejpam-5953	108	22	analysis	analysis	NOUN
ejpam-5953	108	23	(	(	PUNCT
ejpam-5953	108	24	eda	eda	X
ejpam-5953	108	25	)	)	PUNCT
ejpam-5953	108	26	was	be	AUX
ejpam-5953	108	27	conducted	conduct	VERB
ejpam-5953	108	28	using	use	VERB
ejpam-5953	108	29	various	various	ADJ
ejpam-5953	108	30	statistical	statistical	ADJ
ejpam-5953	108	31	and	and	CCONJ
ejpam-5953	108	32	visualization	visualization	NOUN
ejpam-5953	108	33	techniques	technique	NOUN
ejpam-5953	108	34	:	:	PUNCT
ejpam-5953	108	35	(	(	PUNCT
ejpam-5953	108	36	i	i	NOUN
ejpam-5953	108	37	)	)	PUNCT
ejpam-5953	108	38	distribution	distribution	NOUN
ejpam-5953	108	39	of	of	ADP
ejpam-5953	108	40	signal	signal	NOUN
ejpam-5953	108	41	-	-	PUNCT
ejpam-5953	108	42	to	to	ADP
ejpam-5953	108	43	-	-	PUNCT
ejpam-5953	108	44	noise	noise	NOUN
ejpam-5953	108	45	ratio	ratio	NOUN
ejpam-5953	108	46	(	(	PUNCT
ejpam-5953	108	47	snr	snr	PROPN
ejpam-5953	108	48	):	):	PUNCT
ejpam-5953	108	49	a	a	DET
ejpam-5953	108	50	histogram	histogram	NOUN
ejpam-5953	108	51	revealed	reveal	VERB
ejpam-5953	108	52	that	that	SCONJ
ejpam-5953	108	53	snr	snr	PROPN
ejpam-5953	108	54	values	value	NOUN
ejpam-5953	108	55	are	be	AUX
ejpam-5953	108	56	uniformly	uniformly	ADV
ejpam-5953	108	57	distributed	distribute	VERB
ejpam-5953	108	58	across	across	ADP
ejpam-5953	108	59	the	the	DET
ejpam-5953	108	60	dataset	dataset	NOUN
ejpam-5953	108	61	,	,	PUNCT
ejpam-5953	108	62	highlighting	highlight	VERB
ejpam-5953	108	63	diverse	diverse	ADJ
ejpam-5953	108	64	conditions	condition	NOUN
ejpam-5953	108	65	under	under	ADP
ejpam-5953	108	66	which	which	PRON
ejpam-5953	108	67	the	the	DET
ejpam-5953	108	68	grid	grid	NOUN
ejpam-5953	108	69	operates	operate	VERB
ejpam-5953	108	70	.	.	PUNCT
ejpam-5953	109	1	this	this	DET
ejpam-5953	109	2	distribution	distribution	NOUN
ejpam-5953	109	3	allowed	allow	VERB
ejpam-5953	109	4	for	for	ADP
ejpam-5953	109	5	the	the	DET
ejpam-5953	109	6	identification	identification	NOUN
ejpam-5953	109	7	of	of	ADP
ejpam-5953	109	8	common	common	ADJ
ejpam-5953	109	9	snr	snr	NOUN
ejpam-5953	109	10	ranges	range	VERB
ejpam-5953	109	11	where	where	SCONJ
ejpam-5953	109	12	grid	grid	NOUN
ejpam-5953	109	13	instability	instability	NOUN
ejpam-5953	109	14	is	be	AUX
ejpam-5953	109	15	more	more	ADV
ejpam-5953	109	16	likely	likely	ADJ
ejpam-5953	109	17	to	to	PART
ejpam-5953	109	18	occur	occur	VERB
ejpam-5953	109	19	as	as	SCONJ
ejpam-5953	109	20	shown	show	VERB
ejpam-5953	109	21	in	in	ADP
ejpam-5953	109	22	figure	figure	NOUN
ejpam-5953	109	23	2	2	NUM
ejpam-5953	109	24	(	(	PUNCT
ejpam-5953	109	25	ii	ii	NOUN
ejpam-5953	109	26	)	)	PUNCT
ejpam-5953	109	27	voltage	voltage	NOUN
ejpam-5953	109	28	vs	vs	ADP
ejpam-5953	109	29	current	current	ADJ
ejpam-5953	109	30	analysis	analysis	NOUN
ejpam-5953	109	31	:	:	PUNCT
ejpam-5953	109	32	a	a	DET
ejpam-5953	109	33	scatter	scatter	NOUN
ejpam-5953	109	34	plot	plot	NOUN
ejpam-5953	109	35	visualized	visualize	VERB
ejpam-5953	109	36	the	the	DET
ejpam-5953	109	37	relationship	relationship	NOUN
ejpam-5953	109	38	between	between	ADP
ejpam-5953	109	39	voltage	voltage	NOUN
ejpam-5953	109	40	and	and	CCONJ
ejpam-5953	109	41	current	current	ADJ
ejpam-5953	109	42	,	,	PUNCT
ejpam-5953	109	43	categorized	categorize	VERB
ejpam-5953	109	44	by	by	ADP
ejpam-5953	109	45	stability	stability	NOUN
ejpam-5953	109	46	states	state	NOUN
ejpam-5953	109	47	(	(	PUNCT
ejpam-5953	109	48	stable	stable	ADJ
ejpam-5953	109	49	vs.	vs.	ADP
ejpam-5953	109	50	unstable	unstable	ADJ
ejpam-5953	109	51	)	)	PUNCT
ejpam-5953	109	52	.	.	PUNCT
ejpam-5953	110	1	the	the	DET
ejpam-5953	110	2	plot	plot	NOUN
ejpam-5953	110	3	demonstrated	demonstrate	VERB
ejpam-5953	110	4	that	that	SCONJ
ejpam-5953	110	5	stable	stable	ADJ
ejpam-5953	110	6	states	state	NOUN
ejpam-5953	110	7	clustered	cluster	VERB
ejpam-5953	110	8	within	within	ADP
ejpam-5953	110	9	specific	specific	ADJ
ejpam-5953	110	10	voltage	voltage	NOUN
ejpam-5953	110	11	-	-	PUNCT
ejpam-5953	110	12	current	current	ADJ
ejpam-5953	110	13	ranges	range	NOUN
ejpam-5953	110	14	,	,	PUNCT
ejpam-5953	110	15	while	while	SCONJ
ejpam-5953	110	16	unstable	unstable	ADJ
ejpam-5953	110	17	states	state	NOUN
ejpam-5953	110	18	exhibited	exhibit	VERB
ejpam-5953	110	19	greater	great	ADJ
ejpam-5953	110	20	dispersion	dispersion	NOUN
ejpam-5953	110	21	,	,	PUNCT
ejpam-5953	110	22	reflecting	reflect	VERB
ejpam-5953	110	23	the	the	DET
ejpam-5953	110	24	variability	variability	NOUN
ejpam-5953	110	25	introduced	introduce	VERB
ejpam-5953	110	26	by	by	ADP
ejpam-5953	110	27	external	external	ADJ
ejpam-5953	110	28	factors	factor	NOUN
ejpam-5953	110	29	as	as	SCONJ
ejpam-5953	110	30	depicted	depict	VERB
ejpam-5953	110	31	in	in	ADP
ejpam-5953	110	32	figure	figure	NOUN
ejpam-5953	110	33	3	3	NUM
ejpam-5953	110	34	.	.	PUNCT
ejpam-5953	110	35	k.	k.	PROPN
ejpam-5953	110	36	danach	danach	PROPN
ejpam-5953	110	37	,	,	PUNCT
ejpam-5953	110	38	w.	w.	PROPN
ejpam-5953	110	39	h.	h.	PROPN
ejpam-5953	110	40	f.	f.	PROPN
ejpam-5953	110	41	aly	aly	PROPN
ejpam-5953	110	42	,	,	PUNCT
ejpam-5953	110	43	h.	h.	PROPN
ejpam-5953	110	44	kanj	kanj	PROPN
ejpam-5953	110	45	/	/	PUNCT
ejpam-5953	110	46	eur	eur	PROPN
ejpam-5953	110	47	.	.	PUNCT
ejpam-5953	111	1	j.	j.	PROPN
ejpam-5953	111	2	pure	pure	PROPN
ejpam-5953	111	3	appl	appl	PROPN
ejpam-5953	111	4	.	.	PROPN
ejpam-5953	111	5	math	math	PROPN
ejpam-5953	111	6	,	,	PUNCT
ejpam-5953	111	7	18	18	NUM
ejpam-5953	111	8	(	(	PUNCT
ejpam-5953	111	9	2	2	NUM
ejpam-5953	111	10	)	)	PUNCT
ejpam-5953	111	11	(	(	PUNCT
ejpam-5953	111	12	2025	2025	NUM
ejpam-5953	111	13	)	)	PUNCT
ejpam-5953	111	14	,	,	PUNCT
ejpam-5953	111	15	5953	5953	NUM
ejpam-5953	111	16	8	8	NUM
ejpam-5953	111	17	of	of	ADP
ejpam-5953	111	18	20	20	NUM
ejpam-5953	111	19	figure	figure	NOUN
ejpam-5953	111	20	3	3	NUM
ejpam-5953	111	21	:	:	PUNCT
ejpam-5953	111	22	voltage	voltage	NOUN
ejpam-5953	111	23	vs.	vs.	ADP
ejpam-5953	111	24	current	current	ADJ
ejpam-5953	111	25	by	by	ADP
ejpam-5953	111	26	stability	stability	NOUN
ejpam-5953	111	27	.	.	PUNCT
ejpam-5953	112	1	this	this	DET
ejpam-5953	112	2	scatter	scatter	NOUN
ejpam-5953	112	3	plot	plot	NOUN
ejpam-5953	112	4	represents	represent	VERB
ejpam-5953	112	5	the	the	DET
ejpam-5953	112	6	relationship	relationship	NOUN
ejpam-5953	112	7	between	between	ADP
ejpam-5953	112	8	voltage	voltage	NOUN
ejpam-5953	112	9	(	(	PUNCT
ejpam-5953	112	10	v	v	NOUN
ejpam-5953	112	11	)	)	PUNCT
ejpam-5953	112	12	and	and	CCONJ
ejpam-5953	112	13	current	current	ADJ
ejpam-5953	112	14	(	(	PUNCT
ejpam-5953	112	15	a	a	NOUN
ejpam-5953	112	16	)	)	PUNCT
ejpam-5953	112	17	,	,	PUNCT
ejpam-5953	112	18	categorized	categorize	VERB
ejpam-5953	112	19	by	by	ADP
ejpam-5953	112	20	grid	grid	NOUN
ejpam-5953	112	21	stability	stability	NOUN
ejpam-5953	112	22	states	state	NOUN
ejpam-5953	112	23	(	(	PUNCT
ejpam-5953	112	24	stable	stable	ADJ
ejpam-5953	112	25	vs.	vs.	ADP
ejpam-5953	112	26	unstable	unstable	ADJ
ejpam-5953	112	27	)	)	PUNCT
ejpam-5953	112	28	.	.	PUNCT
ejpam-5953	113	1	stable	stable	ADJ
ejpam-5953	113	2	states	state	NOUN
ejpam-5953	113	3	(	(	PUNCT
ejpam-5953	113	4	blue	blue	ADJ
ejpam-5953	113	5	)	)	PUNCT
ejpam-5953	113	6	exhibit	exhibit	VERB
ejpam-5953	113	7	a	a	DET
ejpam-5953	113	8	more	more	ADV
ejpam-5953	113	9	consistent	consistent	ADJ
ejpam-5953	113	10	distribution	distribution	NOUN
ejpam-5953	113	11	,	,	PUNCT
ejpam-5953	113	12	while	while	SCONJ
ejpam-5953	113	13	unstable	unstable	ADJ
ejpam-5953	113	14	states	state	NOUN
ejpam-5953	113	15	(	(	PUNCT
ejpam-5953	113	16	orange	orange	ADJ
ejpam-5953	113	17	)	)	PUNCT
ejpam-5953	113	18	are	be	AUX
ejpam-5953	113	19	more	more	ADV
ejpam-5953	113	20	scattered	scatter	VERB
ejpam-5953	113	21	,	,	PUNCT
ejpam-5953	113	22	reflecting	reflect	VERB
ejpam-5953	113	23	variability	variability	NOUN
ejpam-5953	113	24	in	in	ADP
ejpam-5953	113	25	grid	grid	NOUN
ejpam-5953	113	26	performance	performance	NOUN
ejpam-5953	113	27	(	(	PUNCT
ejpam-5953	113	28	iii	iii	NOUN
ejpam-5953	113	29	)	)	PUNCT
ejpam-5953	113	30	renewable	renewable	ADJ
ejpam-5953	113	31	energy	energy	NOUN
ejpam-5953	113	32	input	input	NOUN
ejpam-5953	113	33	vs	vs	ADP
ejpam-5953	113	34	power	power	NOUN
ejpam-5953	113	35	flow	flow	NOUN
ejpam-5953	113	36	:	:	PUNCT
ejpam-5953	113	37	a	a	DET
ejpam-5953	113	38	scatter	scatter	NOUN
ejpam-5953	113	39	plot	plot	NOUN
ejpam-5953	113	40	was	be	AUX
ejpam-5953	113	41	used	use	VERB
ejpam-5953	113	42	to	to	PART
ejpam-5953	113	43	examine	examine	VERB
ejpam-5953	113	44	the	the	DET
ejpam-5953	113	45	relationship	relationship	NOUN
ejpam-5953	113	46	between	between	ADP
ejpam-5953	113	47	renewable	renewable	ADJ
ejpam-5953	113	48	energy	energy	NOUN
ejpam-5953	113	49	input	input	NOUN
ejpam-5953	113	50	and	and	CCONJ
ejpam-5953	113	51	power	power	NOUN
ejpam-5953	113	52	flow	flow	NOUN
ejpam-5953	113	53	,	,	PUNCT
ejpam-5953	113	54	with	with	ADP
ejpam-5953	113	55	points	point	NOUN
ejpam-5953	113	56	color	color	NOUN
ejpam-5953	113	57	-	-	PUNCT
ejpam-5953	113	58	coded	code	VERB
ejpam-5953	113	59	based	base	VERB
ejpam-5953	113	60	on	on	ADP
ejpam-5953	113	61	snr	snr	PROPN
ejpam-5953	113	62	values	value	NOUN
ejpam-5953	113	63	.	.	PUNCT
ejpam-5953	114	1	the	the	DET
ejpam-5953	114	2	analysis	analysis	NOUN
ejpam-5953	114	3	showed	show	VERB
ejpam-5953	114	4	a	a	DET
ejpam-5953	114	5	positive	positive	ADJ
ejpam-5953	114	6	correlation	correlation	NOUN
ejpam-5953	114	7	between	between	ADP
ejpam-5953	114	8	renewable	renewable	ADJ
ejpam-5953	114	9	energy	energy	NOUN
ejpam-5953	114	10	input	input	NOUN
ejpam-5953	114	11	and	and	CCONJ
ejpam-5953	114	12	power	power	NOUN
ejpam-5953	114	13	flow	flow	NOUN
ejpam-5953	114	14	,	,	PUNCT
ejpam-5953	114	15	particularly	particularly	ADV
ejpam-5953	114	16	at	at	ADP
ejpam-5953	114	17	higher	high	ADJ
ejpam-5953	114	18	snr	snr	NOUN
ejpam-5953	114	19	levels	level	NOUN
ejpam-5953	114	20	,	,	PUNCT
ejpam-5953	114	21	underscoring	underscore	VERB
ejpam-5953	114	22	the	the	DET
ejpam-5953	114	23	importance	importance	NOUN
ejpam-5953	114	24	of	of	ADP
ejpam-5953	114	25	renewable	renewable	ADJ
ejpam-5953	114	26	energy	energy	NOUN
ejpam-5953	114	27	contributions	contribution	NOUN
ejpam-5953	114	28	in	in	ADP
ejpam-5953	114	29	maintaining	maintain	VERB
ejpam-5953	114	30	grid	grid	NOUN
ejpam-5953	114	31	performance	performance	NOUN
ejpam-5953	114	32	as	as	SCONJ
ejpam-5953	114	33	depicted	depict	VERB
ejpam-5953	114	34	in	in	ADP
ejpam-5953	114	35	figure	figure	NOUN
ejpam-5953	114	36	4	4	NUM
ejpam-5953	114	37	(	(	PUNCT
ejpam-5953	114	38	iv	iv	X
ejpam-5953	114	39	)	)	PUNCT
ejpam-5953	114	40	stability	stability	NOUN
ejpam-5953	114	41	distribution	distribution	NOUN
ejpam-5953	114	42	:	:	PUNCT
ejpam-5953	114	43	a	a	DET
ejpam-5953	114	44	bar	bar	NOUN
ejpam-5953	114	45	chart	chart	NOUN
ejpam-5953	114	46	showed	show	VERB
ejpam-5953	114	47	that	that	SCONJ
ejpam-5953	114	48	approximately	approximately	ADV
ejpam-5953	114	49	70	70	NUM
ejpam-5953	114	50	%	%	NOUN
ejpam-5953	114	51	of	of	ADP
ejpam-5953	114	52	the	the	DET
ejpam-5953	114	53	instances	instance	NOUN
ejpam-5953	114	54	in	in	ADP
ejpam-5953	114	55	the	the	DET
ejpam-5953	114	56	dataset	dataset	NOUN
ejpam-5953	114	57	represent	represent	VERB
ejpam-5953	114	58	stable	stable	ADJ
ejpam-5953	114	59	grid	grid	NOUN
ejpam-5953	114	60	states	state	NOUN
ejpam-5953	114	61	,	,	PUNCT
ejpam-5953	114	62	while	while	SCONJ
ejpam-5953	114	63	30	30	NUM
ejpam-5953	114	64	%	%	NOUN
ejpam-5953	114	65	correspond	correspond	NOUN
ejpam-5953	114	66	to	to	ADP
ejpam-5953	114	67	unstable	unstable	ADJ
ejpam-5953	114	68	states	state	NOUN
ejpam-5953	114	69	.	.	PUNCT
ejpam-5953	115	1	this	this	DET
ejpam-5953	115	2	balance	balance	NOUN
ejpam-5953	115	3	reflects	reflect	VERB
ejpam-5953	115	4	real	real	ADJ
ejpam-5953	115	5	-	-	PUNCT
ejpam-5953	115	6	world	world	NOUN
ejpam-5953	115	7	scenarios	scenario	NOUN
ejpam-5953	115	8	where	where	SCONJ
ejpam-5953	115	9	grids	grid	NOUN
ejpam-5953	115	10	are	be	AUX
ejpam-5953	115	11	generally	generally	ADV
ejpam-5953	115	12	stable	stable	ADJ
ejpam-5953	115	13	but	but	CCONJ
ejpam-5953	115	14	may	may	AUX
ejpam-5953	115	15	encounter	encounter	VERB
ejpam-5953	115	16	instability	instability	NOUN
ejpam-5953	115	17	due	due	ADP
ejpam-5953	115	18	to	to	ADP
ejpam-5953	115	19	specific	specific	ADJ
ejpam-5953	115	20	conditions	condition	NOUN
ejpam-5953	115	21	as	as	SCONJ
ejpam-5953	115	22	depicted	depict	VERB
ejpam-5953	115	23	in	in	ADP
ejpam-5953	115	24	figure	figure	NOUN
ejpam-5953	115	25	5	5	NUM
ejpam-5953	115	26	.	.	NOUN
ejpam-5953	115	27	3.2	3.2	NUM
ejpam-5953	115	28	.	.	PUNCT
ejpam-5953	116	1	data	datum	NOUN
ejpam-5953	116	2	preprocessing	preprocesse	VERB
ejpam-5953	116	3	to	to	PART
ejpam-5953	116	4	prepare	prepare	VERB
ejpam-5953	116	5	the	the	DET
ejpam-5953	116	6	dataset	dataset	NOUN
ejpam-5953	116	7	for	for	ADP
ejpam-5953	116	8	analysis	analysis	NOUN
ejpam-5953	116	9	,	,	PUNCT
ejpam-5953	116	10	a	a	DET
ejpam-5953	116	11	comprehensive	comprehensive	ADJ
ejpam-5953	116	12	preprocessing	preprocessing	NOUN
ejpam-5953	116	13	pipeline	pipeline	NOUN
ejpam-5953	116	14	was	be	AUX
ejpam-5953	116	15	implemented	implement	VERB
ejpam-5953	116	16	.	.	PUNCT
ejpam-5953	117	1	missing	miss	VERB
ejpam-5953	117	2	values	value	NOUN
ejpam-5953	117	3	were	be	AUX
ejpam-5953	117	4	addressed	address	VERB
ejpam-5953	117	5	using	use	VERB
ejpam-5953	117	6	mean	mean	ADJ
ejpam-5953	117	7	imputation	imputation	NOUN
ejpam-5953	117	8	,	,	PUNCT
ejpam-5953	117	9	and	and	CCONJ
ejpam-5953	117	10	outliers	outlier	NOUN
ejpam-5953	117	11	were	be	AUX
ejpam-5953	117	12	identified	identify	VERB
ejpam-5953	117	13	and	and	CCONJ
ejpam-5953	117	14	handled	handle	VERB
ejpam-5953	117	15	using	use	VERB
ejpam-5953	117	16	z	z	NOUN
ejpam-5953	117	17	-	-	PUNCT
ejpam-5953	117	18	scores	score	NOUN
ejpam-5953	117	19	to	to	PART
ejpam-5953	117	20	ensure	ensure	VERB
ejpam-5953	117	21	data	datum	NOUN
ejpam-5953	117	22	consistency	consistency	NOUN
ejpam-5953	117	23	.	.	PUNCT
ejpam-5953	118	1	min	min	ADJ
ejpam-5953	118	2	-	-	PUNCT
ejpam-5953	118	3	max	max	PROPN
ejpam-5953	118	4	normalization	normalization	NOUN
ejpam-5953	118	5	was	be	AUX
ejpam-5953	118	6	applied	apply	VERB
ejpam-5953	118	7	to	to	ADP
ejpam-5953	118	8	numerical	numerical	ADJ
ejpam-5953	118	9	features	feature	NOUN
ejpam-5953	118	10	,	,	PUNCT
ejpam-5953	118	11	such	such	ADJ
ejpam-5953	118	12	as	as	ADP
ejpam-5953	118	13	voltage	voltage	NOUN
ejpam-5953	118	14	and	and	CCONJ
ejpam-5953	118	15	power	power	NOUN
ejpam-5953	118	16	flow	flow	NOUN
ejpam-5953	118	17	,	,	PUNCT
ejpam-5953	118	18	to	to	PART
ejpam-5953	118	19	standardize	standardize	VERB
ejpam-5953	118	20	the	the	DET
ejpam-5953	118	21	data	datum	NOUN
ejpam-5953	118	22	.	.	PUNCT
ejpam-5953	119	1	feature	feature	NOUN
ejpam-5953	119	2	engineering	engineering	NOUN
ejpam-5953	119	3	focused	focus	VERB
ejpam-5953	119	4	on	on	ADP
ejpam-5953	119	5	selecting	select	VERB
ejpam-5953	119	6	key	key	ADJ
ejpam-5953	119	7	parameters	parameter	NOUN
ejpam-5953	119	8	like	like	ADP
ejpam-5953	119	9	snr	snr	PROPN
ejpam-5953	119	10	,	,	PUNCT
ejpam-5953	119	11	frame	frame	NOUN
ejpam-5953	119	12	size	size	NOUN
ejpam-5953	119	13	,	,	PUNCT
ejpam-5953	119	14	and	and	CCONJ
ejpam-5953	119	15	iteration	iteration	NOUN
ejpam-5953	119	16	count	count	NOUN
ejpam-5953	119	17	,	,	PUNCT
ejpam-5953	119	18	while	while	SCONJ
ejpam-5953	119	19	derived	derived	ADJ
ejpam-5953	119	20	features	feature	NOUN
ejpam-5953	119	21	,	,	PUNCT
ejpam-5953	119	22	such	such	ADJ
ejpam-5953	119	23	as	as	ADP
ejpam-5953	119	24	weighted	weight	VERB
ejpam-5953	119	25	averages	average	NOUN
ejpam-5953	119	26	of	of	ADP
ejpam-5953	119	27	renewable	renewable	ADJ
ejpam-5953	119	28	inputs	input	NOUN
ejpam-5953	119	29	,	,	PUNCT
ejpam-5953	119	30	were	be	AUX
ejpam-5953	119	31	added	add	VERB
ejpam-5953	119	32	to	to	PART
ejpam-5953	119	33	enhance	enhance	VERB
ejpam-5953	119	34	predictive	predictive	ADJ
ejpam-5953	119	35	accuracy	accuracy	NOUN
ejpam-5953	119	36	.	.	PUNCT
ejpam-5953	120	1	the	the	DET
ejpam-5953	120	2	dataset	dataset	NOUN
ejpam-5953	120	3	was	be	AUX
ejpam-5953	120	4	split	split	VERB
ejpam-5953	120	5	into	into	ADP
ejpam-5953	120	6	training	training	NOUN
ejpam-5953	120	7	and	and	CCONJ
ejpam-5953	120	8	testing	testing	NOUN
ejpam-5953	120	9	subsets	subset	NOUN
ejpam-5953	120	10	,	,	PUNCT
ejpam-5953	120	11	with	with	ADP
ejpam-5953	120	12	80	80	NUM
ejpam-5953	120	13	%	%	NOUN
ejpam-5953	120	14	of	of	ADP
ejpam-5953	120	15	the	the	DET
ejpam-5953	120	16	data	datum	NOUN
ejpam-5953	120	17	used	use	VERB
ejpam-5953	120	18	for	for	ADP
ejpam-5953	120	19	training	training	NOUN
ejpam-5953	120	20	and	and	CCONJ
ejpam-5953	120	21	20	20	NUM
ejpam-5953	120	22	%	%	NOUN
ejpam-5953	120	23	for	for	ADP
ejpam-5953	120	24	testing	testing	NOUN
ejpam-5953	120	25	as	as	SCONJ
ejpam-5953	120	26	depicted	depict	VERB
ejpam-5953	120	27	in	in	ADP
ejpam-5953	120	28	figure	figure	NOUN
ejpam-5953	120	29	6	6	NUM
ejpam-5953	120	30	.	.	PUNCT
ejpam-5953	121	1	k.	k.	PROPN
ejpam-5953	121	2	danach	danach	PROPN
ejpam-5953	121	3	,	,	PUNCT
ejpam-5953	121	4	w.	w.	PROPN
ejpam-5953	121	5	h.	h.	PROPN
ejpam-5953	121	6	f.	f.	PROPN
ejpam-5953	121	7	aly	aly	PROPN
ejpam-5953	121	8	,	,	PUNCT
ejpam-5953	121	9	h.	h.	PROPN
ejpam-5953	121	10	kanj	kanj	PROPN
ejpam-5953	121	11	/	/	PUNCT
ejpam-5953	121	12	eur	eur	PROPN
ejpam-5953	121	13	.	.	PUNCT
ejpam-5953	122	1	j.	j.	PROPN
ejpam-5953	122	2	pure	pure	PROPN
ejpam-5953	122	3	appl	appl	PROPN
ejpam-5953	122	4	.	.	PROPN
ejpam-5953	122	5	math	math	PROPN
ejpam-5953	122	6	,	,	PUNCT
ejpam-5953	122	7	18	18	NUM
ejpam-5953	122	8	(	(	PUNCT
ejpam-5953	122	9	2	2	NUM
ejpam-5953	122	10	)	)	PUNCT
ejpam-5953	122	11	(	(	PUNCT
ejpam-5953	122	12	2025	2025	NUM
ejpam-5953	122	13	)	)	PUNCT
ejpam-5953	122	14	,	,	PUNCT
ejpam-5953	122	15	5953	5953	NUM
ejpam-5953	122	16	9	9	NUM
ejpam-5953	122	17	of	of	ADP
ejpam-5953	122	18	20	20	NUM
ejpam-5953	122	19	figure	figure	NOUN
ejpam-5953	122	20	4	4	NUM
ejpam-5953	122	21	:	:	PUNCT
ejpam-5953	122	22	renewable	renewable	ADJ
ejpam-5953	122	23	energy	energy	NOUN
ejpam-5953	122	24	input	input	NOUN
ejpam-5953	122	25	vs.	vs.	ADP
ejpam-5953	122	26	power	power	NOUN
ejpam-5953	122	27	flow	flow	NOUN
ejpam-5953	122	28	(	(	PUNCT
ejpam-5953	122	29	colored	color	VERB
ejpam-5953	122	30	by	by	ADP
ejpam-5953	122	31	snr	snr	PROPN
ejpam-5953	122	32	)	)	PUNCT
ejpam-5953	122	33	.	.	PUNCT
ejpam-5953	123	1	this	this	DET
ejpam-5953	123	2	scatter	scatter	NOUN
ejpam-5953	123	3	plot	plot	NOUN
ejpam-5953	123	4	depicts	depict	VERB
ejpam-5953	123	5	the	the	DET
ejpam-5953	123	6	relationship	relationship	NOUN
ejpam-5953	123	7	between	between	ADP
ejpam-5953	123	8	renewable	renewable	ADJ
ejpam-5953	123	9	energy	energy	NOUN
ejpam-5953	123	10	input	input	NOUN
ejpam-5953	123	11	(	(	PUNCT
ejpam-5953	123	12	%	%	INTJ
ejpam-5953	123	13	)	)	PUNCT
ejpam-5953	123	14	and	and	CCONJ
ejpam-5953	123	15	power	power	NOUN
ejpam-5953	123	16	flow	flow	NOUN
ejpam-5953	123	17	(	(	PUNCT
ejpam-5953	123	18	kw	kw	NOUN
ejpam-5953	123	19	)	)	PUNCT
ejpam-5953	123	20	,	,	PUNCT
ejpam-5953	123	21	with	with	ADP
ejpam-5953	123	22	data	datum	NOUN
ejpam-5953	123	23	points	point	NOUN
ejpam-5953	123	24	color	color	NOUN
ejpam-5953	123	25	-	-	PUNCT
ejpam-5953	123	26	coded	code	VERB
ejpam-5953	123	27	based	base	VERB
ejpam-5953	123	28	on	on	ADP
ejpam-5953	123	29	signal	signal	NOUN
ejpam-5953	123	30	-	-	PUNCT
ejpam-5953	123	31	to	to	ADP
ejpam-5953	123	32	-	-	PUNCT
ejpam-5953	123	33	noise	noise	NOUN
ejpam-5953	123	34	ratio	ratio	NOUN
ejpam-5953	123	35	(	(	PUNCT
ejpam-5953	123	36	snr	snr	PROPN
ejpam-5953	123	37	)	)	PUNCT
ejpam-5953	123	38	.	.	PUNCT
ejpam-5953	124	1	higher	high	ADJ
ejpam-5953	124	2	snr	snr	PROPN
ejpam-5953	124	3	values	value	NOUN
ejpam-5953	124	4	(	(	PUNCT
ejpam-5953	124	5	yellow	yellow	NOUN
ejpam-5953	124	6	)	)	PUNCT
ejpam-5953	124	7	correspond	correspond	VERB
ejpam-5953	124	8	to	to	ADP
ejpam-5953	124	9	more	more	ADV
ejpam-5953	124	10	consistent	consistent	ADJ
ejpam-5953	124	11	power	power	NOUN
ejpam-5953	124	12	flow	flow	NOUN
ejpam-5953	124	13	,	,	PUNCT
ejpam-5953	124	14	indicating	indicate	VERB
ejpam-5953	124	15	improved	improved	ADJ
ejpam-5953	124	16	grid	grid	NOUN
ejpam-5953	124	17	stability	stability	NOUN
ejpam-5953	124	18	,	,	PUNCT
ejpam-5953	124	19	while	while	SCONJ
ejpam-5953	124	20	lower	low	ADJ
ejpam-5953	124	21	snr	snr	PROPN
ejpam-5953	124	22	values	value	NOUN
ejpam-5953	124	23	(	(	PUNCT
ejpam-5953	124	24	purple	purple	ADJ
ejpam-5953	124	25	)	)	PUNCT
ejpam-5953	124	26	exhibit	exhibit	VERB
ejpam-5953	124	27	greater	great	ADJ
ejpam-5953	124	28	variability	variability	NOUN
ejpam-5953	124	29	feature	feature	NOUN
ejpam-5953	124	30	selection	selection	NOUN
ejpam-5953	124	31	was	be	AUX
ejpam-5953	124	32	based	base	VERB
ejpam-5953	124	33	on	on	ADP
ejpam-5953	124	34	domain	domain	NOUN
ejpam-5953	124	35	knowledge	knowledge	NOUN
ejpam-5953	124	36	and	and	CCONJ
ejpam-5953	124	37	empirical	empirical	ADJ
ejpam-5953	124	38	analysis	analysis	NOUN
ejpam-5953	124	39	of	of	ADP
ejpam-5953	124	40	grid	grid	NOUN
ejpam-5953	124	41	stability	stability	NOUN
ejpam-5953	124	42	factors	factor	NOUN
ejpam-5953	124	43	.	.	PUNCT
ejpam-5953	125	1	voltage	voltage	NOUN
ejpam-5953	125	2	,	,	PUNCT
ejpam-5953	125	3	current	current	ADJ
ejpam-5953	125	4	,	,	PUNCT
ejpam-5953	125	5	and	and	CCONJ
ejpam-5953	125	6	power	power	NOUN
ejpam-5953	125	7	flow	flow	NOUN
ejpam-5953	125	8	are	be	AUX
ejpam-5953	125	9	fundamental	fundamental	ADJ
ejpam-5953	125	10	electrical	electrical	ADJ
ejpam-5953	125	11	parameters	parameter	NOUN
ejpam-5953	125	12	.	.	PUNCT
ejpam-5953	126	1	signal	signal	VERB
ejpam-5953	126	2	-	-	PUNCT
ejpam-5953	126	3	to	to	ADP
ejpam-5953	126	4	-	-	PUNCT
ejpam-5953	126	5	noise	noise	NOUN
ejpam-5953	126	6	ratio	ratio	NOUN
ejpam-5953	126	7	(	(	PUNCT
ejpam-5953	126	8	snr	snr	PROPN
ejpam-5953	126	9	)	)	PUNCT
ejpam-5953	126	10	was	be	AUX
ejpam-5953	126	11	included	include	VERB
ejpam-5953	126	12	as	as	SCONJ
ejpam-5953	126	13	it	it	PRON
ejpam-5953	126	14	quantifies	quantify	VERB
ejpam-5953	126	15	the	the	DET
ejpam-5953	126	16	effect	effect	NOUN
ejpam-5953	126	17	of	of	ADP
ejpam-5953	126	18	environmental	environmental	ADJ
ejpam-5953	126	19	variations	variation	NOUN
ejpam-5953	126	20	on	on	ADP
ejpam-5953	126	21	smart	smart	ADJ
ejpam-5953	126	22	grid	grid	NOUN
ejpam-5953	126	23	stability	stability	NOUN
ejpam-5953	126	24	.	.	PUNCT
ejpam-5953	127	1	why	why	SCONJ
ejpam-5953	127	2	snr	snr	PROPN
ejpam-5953	127	3	is	be	AUX
ejpam-5953	127	4	a	a	DET
ejpam-5953	127	5	relevant	relevant	ADJ
ejpam-5953	127	6	feature	feature	NOUN
ejpam-5953	127	7	?	?	PUNCT
ejpam-5953	128	1	•	•	NUM
ejpam-5953	128	2	practical	practical	ADJ
ejpam-5953	128	3	significance	significance	NOUN
ejpam-5953	128	4	:	:	PUNCT
ejpam-5953	128	5	in	in	ADP
ejpam-5953	128	6	real	real	ADJ
ejpam-5953	128	7	-	-	PUNCT
ejpam-5953	128	8	world	world	NOUN
ejpam-5953	128	9	smart	smart	ADJ
ejpam-5953	128	10	grids	grid	NOUN
ejpam-5953	128	11	,	,	PUNCT
ejpam-5953	128	12	fluctuations	fluctuation	NOUN
ejpam-5953	128	13	in	in	ADP
ejpam-5953	128	14	signal	signal	ADJ
ejpam-5953	128	15	quality	quality	NOUN
ejpam-5953	128	16	impact	impact	NOUN
ejpam-5953	128	17	stability	stability	NOUN
ejpam-5953	128	18	predictions	prediction	NOUN
ejpam-5953	128	19	.	.	PUNCT
ejpam-5953	129	1	•	•	NUM
ejpam-5953	129	2	empirical	empirical	ADJ
ejpam-5953	129	3	justification	justification	NOUN
ejpam-5953	129	4	:	:	PUNCT
ejpam-5953	129	5	sensitivity	sensitivity	NOUN
ejpam-5953	129	6	analysis	analysis	NOUN
ejpam-5953	129	7	(	(	PUNCT
ejpam-5953	129	8	figure	figure	NOUN
ejpam-5953	129	9	12	12	NUM
ejpam-5953	129	10	)	)	PUNCT
ejpam-5953	129	11	shows	show	VERB
ejpam-5953	129	12	that	that	SCONJ
ejpam-5953	129	13	higher	high	ADJ
ejpam-5953	129	14	snr	snr	NOUN
ejpam-5953	129	15	values	value	NOUN
ejpam-5953	129	16	lead	lead	VERB
ejpam-5953	129	17	to	to	ADP
ejpam-5953	129	18	more	more	ADV
ejpam-5953	129	19	stable	stable	ADJ
ejpam-5953	129	20	predictions	prediction	NOUN
ejpam-5953	129	21	,	,	PUNCT
ejpam-5953	129	22	validating	validate	VERB
ejpam-5953	129	23	its	its	PRON
ejpam-5953	129	24	inclusion	inclusion	NOUN
ejpam-5953	129	25	.	.	PUNCT
ejpam-5953	130	1	3.3	3.3	NUM
ejpam-5953	130	2	.	.	PUNCT
ejpam-5953	130	3	machine	machine	NOUN
ejpam-5953	130	4	learning	learning	NOUN
ejpam-5953	130	5	models	model	VERB
ejpam-5953	130	6	a	a	DET
ejpam-5953	130	7	combination	combination	NOUN
ejpam-5953	130	8	of	of	ADP
ejpam-5953	130	9	supervised	supervised	ADJ
ejpam-5953	130	10	machine	machine	NOUN
ejpam-5953	130	11	learning	learning	NOUN
ejpam-5953	130	12	and	and	CCONJ
ejpam-5953	130	13	deep	deep	ADJ
ejpam-5953	130	14	learning	learning	NOUN
ejpam-5953	130	15	techniques	technique	NOUN
ejpam-5953	130	16	was	be	AUX
ejpam-5953	130	17	employed	employ	VERB
ejpam-5953	130	18	to	to	PART
ejpam-5953	130	19	analyze	analyze	VERB
ejpam-5953	130	20	grid	grid	NOUN
ejpam-5953	130	21	stability	stability	NOUN
ejpam-5953	130	22	and	and	CCONJ
ejpam-5953	130	23	enhance	enhance	VERB
ejpam-5953	130	24	prediction	prediction	NOUN
ejpam-5953	130	25	accuracy	accuracy	NOUN
ejpam-5953	130	26	.	.	PUNCT
ejpam-5953	131	1	below	below	ADP
ejpam-5953	131	2	is	be	AUX
ejpam-5953	131	3	a	a	DET
ejpam-5953	131	4	detailed	detailed	ADJ
ejpam-5953	131	5	explanation	explanation	NOUN
ejpam-5953	131	6	of	of	ADP
ejpam-5953	131	7	the	the	DET
ejpam-5953	131	8	key	key	ADJ
ejpam-5953	131	9	implemented	implement	VERB
ejpam-5953	131	10	models	model	NOUN
ejpam-5953	131	11	as	as	SCONJ
ejpam-5953	131	12	shown	show	VERB
ejpam-5953	131	13	in	in	ADP
ejpam-5953	131	14	figure	figure	NOUN
ejpam-5953	131	15	7	7	NUM
ejpam-5953	131	16	:	:	SYM
ejpam-5953	131	17	•	•	NUM
ejpam-5953	131	18	logistic	logistic	ADJ
ejpam-5953	131	19	regression	regression	NOUN
ejpam-5953	131	20	:	:	PUNCT
ejpam-5953	131	21	a	a	DET
ejpam-5953	131	22	linear	linear	ADJ
ejpam-5953	131	23	model	model	NOUN
ejpam-5953	131	24	used	use	VERB
ejpam-5953	131	25	for	for	ADP
ejpam-5953	131	26	binary	binary	ADJ
ejpam-5953	131	27	classification	classification	NOUN
ejpam-5953	131	28	,	,	PUNCT
ejpam-5953	131	29	predicting	predict	VERB
ejpam-5953	131	30	the	the	DET
ejpam-5953	131	31	probability	probability	NOUN
ejpam-5953	131	32	that	that	SCONJ
ejpam-5953	131	33	a	a	DET
ejpam-5953	131	34	given	give	VERB
ejpam-5953	131	35	input	input	NOUN
ejpam-5953	131	36	belongs	belong	VERB
ejpam-5953	131	37	to	to	ADP
ejpam-5953	131	38	a	a	DET
ejpam-5953	131	39	particular	particular	ADJ
ejpam-5953	131	40	class	class	NOUN
ejpam-5953	131	41	.	.	PUNCT
ejpam-5953	132	1	k.	k.	PROPN
ejpam-5953	132	2	danach	danach	PROPN
ejpam-5953	132	3	,	,	PUNCT
ejpam-5953	132	4	w.	w.	PROPN
ejpam-5953	132	5	h.	h.	PROPN
ejpam-5953	132	6	f.	f.	PROPN
ejpam-5953	132	7	aly	aly	PROPN
ejpam-5953	132	8	,	,	PUNCT
ejpam-5953	132	9	h.	h.	PROPN
ejpam-5953	132	10	kanj	kanj	PROPN
ejpam-5953	132	11	/	/	PUNCT
ejpam-5953	132	12	eur	eur	PROPN
ejpam-5953	132	13	.	.	PUNCT
ejpam-5953	133	1	j.	j.	PROPN
ejpam-5953	133	2	pure	pure	PROPN
ejpam-5953	133	3	appl	appl	PROPN
ejpam-5953	133	4	.	.	PROPN
ejpam-5953	133	5	math	math	PROPN
ejpam-5953	133	6	,	,	PUNCT
ejpam-5953	133	7	18	18	NUM
ejpam-5953	133	8	(	(	PUNCT
ejpam-5953	133	9	2	2	NUM
ejpam-5953	133	10	)	)	PUNCT
ejpam-5953	133	11	(	(	PUNCT
ejpam-5953	133	12	2025	2025	NUM
ejpam-5953	133	13	)	)	PUNCT
ejpam-5953	133	14	,	,	PUNCT
ejpam-5953	133	15	5953	5953	NUM
ejpam-5953	133	16	10	10	NUM
ejpam-5953	133	17	of	of	ADP
ejpam-5953	133	18	20	20	NUM
ejpam-5953	133	19	figure	figure	NOUN
ejpam-5953	133	20	5	5	NUM
ejpam-5953	133	21	:	:	PUNCT
ejpam-5953	133	22	distribution	distribution	NOUN
ejpam-5953	133	23	of	of	ADP
ejpam-5953	133	24	stability	stability	NOUN
ejpam-5953	133	25	states	state	NOUN
ejpam-5953	133	26	.	.	PUNCT
ejpam-5953	134	1	this	this	DET
ejpam-5953	134	2	bar	bar	NOUN
ejpam-5953	134	3	chart	chart	NOUN
ejpam-5953	134	4	shows	show	VERB
ejpam-5953	134	5	the	the	DET
ejpam-5953	134	6	distribution	distribution	NOUN
ejpam-5953	134	7	of	of	ADP
ejpam-5953	134	8	grid	grid	NOUN
ejpam-5953	134	9	stability	stability	NOUN
ejpam-5953	134	10	states	state	NOUN
ejpam-5953	134	11	within	within	ADP
ejpam-5953	134	12	the	the	DET
ejpam-5953	134	13	dataset	dataset	NOUN
ejpam-5953	134	14	.	.	PUNCT
ejpam-5953	135	1	stable	stable	ADJ
ejpam-5953	135	2	states	state	NOUN
ejpam-5953	135	3	(	(	PUNCT
ejpam-5953	135	4	green	green	ADJ
ejpam-5953	135	5	)	)	PUNCT
ejpam-5953	135	6	are	be	AUX
ejpam-5953	135	7	more	more	ADV
ejpam-5953	135	8	frequent	frequent	ADJ
ejpam-5953	135	9	,	,	PUNCT
ejpam-5953	135	10	accounting	account	VERB
ejpam-5953	135	11	for	for	ADP
ejpam-5953	135	12	approximately	approximately	ADV
ejpam-5953	135	13	70	70	NUM
ejpam-5953	135	14	%	%	NOUN
ejpam-5953	135	15	of	of	ADP
ejpam-5953	135	16	the	the	DET
ejpam-5953	135	17	data	datum	NOUN
ejpam-5953	135	18	,	,	PUNCT
ejpam-5953	135	19	while	while	SCONJ
ejpam-5953	135	20	unstable	unstable	ADJ
ejpam-5953	135	21	states	state	NOUN
ejpam-5953	135	22	(	(	PUNCT
ejpam-5953	135	23	red	red	PROPN
ejpam-5953	135	24	)	)	PUNCT
ejpam-5953	135	25	represent	represent	VERB
ejpam-5953	135	26	the	the	DET
ejpam-5953	135	27	remaining	remain	VERB
ejpam-5953	135	28	30	30	NUM
ejpam-5953	135	29	%	%	NOUN
ejpam-5953	135	30	.	.	PUNCT
ejpam-5953	136	1	this	this	DET
ejpam-5953	136	2	distribution	distribution	NOUN
ejpam-5953	136	3	reflects	reflect	VERB
ejpam-5953	136	4	the	the	DET
ejpam-5953	136	5	grid	grid	NOUN
ejpam-5953	136	6	’s	’s	PART
ejpam-5953	136	7	overall	overall	ADJ
ejpam-5953	136	8	reliability	reliability	NOUN
ejpam-5953	136	9	under	under	ADP
ejpam-5953	136	10	normal	normal	ADJ
ejpam-5953	136	11	operating	operating	NOUN
ejpam-5953	136	12	conditions	condition	NOUN
ejpam-5953	136	13	•	•	X
ejpam-5953	136	14	random	random	ADJ
ejpam-5953	136	15	forests	forest	NOUN
ejpam-5953	136	16	:	:	PUNCT
ejpam-5953	136	17	ensemble	ensemble	ADJ
ejpam-5953	136	18	learning	learning	NOUN
ejpam-5953	136	19	methods	method	NOUN
ejpam-5953	136	20	that	that	PRON
ejpam-5953	136	21	use	use	VERB
ejpam-5953	136	22	multiple	multiple	ADJ
ejpam-5953	136	23	decision	decision	NOUN
ejpam-5953	136	24	trees	tree	NOUN
ejpam-5953	136	25	to	to	PART
ejpam-5953	136	26	improve	improve	VERB
ejpam-5953	136	27	classification	classification	NOUN
ejpam-5953	136	28	accuracy	accuracy	NOUN
ejpam-5953	136	29	and	and	CCONJ
ejpam-5953	136	30	robustness	robustness	NOUN
ejpam-5953	136	31	.	.	PUNCT
ejpam-5953	137	1	•	•	NOUN
ejpam-5953	137	2	support	support	NOUN
ejpam-5953	137	3	vector	vector	NOUN
ejpam-5953	137	4	machines	machine	NOUN
ejpam-5953	137	5	(	(	PUNCT
ejpam-5953	137	6	svm	svm	PROPN
ejpam-5953	137	7	):	):	PUNCT
ejpam-5953	137	8	a	a	DET
ejpam-5953	137	9	supervised	supervised	ADJ
ejpam-5953	137	10	learning	learn	VERB
ejpam-5953	137	11	algorithm	algorithm	NOUN
ejpam-5953	137	12	that	that	PRON
ejpam-5953	137	13	constructs	construct	VERB
ejpam-5953	137	14	hyperplanes	hyperplane	NOUN
ejpam-5953	137	15	to	to	PART
ejpam-5953	137	16	separate	separate	VERB
ejpam-5953	137	17	data	datum	NOUN
ejpam-5953	137	18	into	into	ADP
ejpam-5953	137	19	classes	class	NOUN
ejpam-5953	137	20	.	.	PUNCT
ejpam-5953	138	1	•	•	NUM
ejpam-5953	138	2	deep	deep	ADJ
ejpam-5953	138	3	neural	neural	ADJ
ejpam-5953	138	4	networks	network	NOUN
ejpam-5953	138	5	(	(	PUNCT
ejpam-5953	138	6	dnn	dnn	PROPN
ejpam-5953	138	7	):	):	PUNCT
ejpam-5953	138	8	advanced	advanced	ADJ
ejpam-5953	138	9	deep	deep	ADJ
ejpam-5953	138	10	learning	learning	NOUN
ejpam-5953	138	11	models	model	NOUN
ejpam-5953	138	12	capable	capable	ADJ
ejpam-5953	138	13	of	of	ADP
ejpam-5953	138	14	capturing	capture	VERB
ejpam-5953	138	15	non	non	ADJ
ejpam-5953	138	16	-	-	ADJ
ejpam-5953	138	17	linear	linear	ADJ
ejpam-5953	138	18	relationships	relationship	NOUN
ejpam-5953	138	19	in	in	ADP
ejpam-5953	138	20	data	datum	NOUN
ejpam-5953	138	21	.	.	PUNCT
ejpam-5953	139	1	3.4	3.4	NUM
ejpam-5953	139	2	.	.	PUNCT
ejpam-5953	140	1	simulation	simulation	NOUN
ejpam-5953	140	2	experiments	experiment	NOUN
ejpam-5953	140	3	simulation	simulation	NOUN
ejpam-5953	140	4	experiments	experiment	NOUN
ejpam-5953	140	5	were	be	AUX
ejpam-5953	140	6	conducted	conduct	VERB
ejpam-5953	140	7	to	to	PART
ejpam-5953	140	8	evaluate	evaluate	VERB
ejpam-5953	140	9	model	model	NOUN
ejpam-5953	140	10	performance	performance	NOUN
ejpam-5953	140	11	under	under	ADP
ejpam-5953	140	12	various	various	ADJ
ejpam-5953	140	13	conditions	condition	NOUN
ejpam-5953	140	14	as	as	SCONJ
ejpam-5953	140	15	shown	show	VERB
ejpam-5953	140	16	in	in	ADP
ejpam-5953	140	17	figure	figure	NOUN
ejpam-5953	140	18	8	8	NUM
ejpam-5953	140	19	:	:	SYM
ejpam-5953	140	20	•	•	NUM
ejpam-5953	140	21	effect	effect	NOUN
ejpam-5953	140	22	of	of	ADP
ejpam-5953	140	23	iterations	iteration	NOUN
ejpam-5953	140	24	:	:	PUNCT
ejpam-5953	140	25	iterative	iterative	NOUN
ejpam-5953	140	26	decoding	decoding	NOUN
ejpam-5953	140	27	was	be	AUX
ejpam-5953	140	28	analyzed	analyze	VERB
ejpam-5953	140	29	by	by	ADP
ejpam-5953	140	30	varying	vary	VERB
ejpam-5953	140	31	iteration	iteration	NOUN
ejpam-5953	140	32	counts	count	NOUN
ejpam-5953	140	33	from	from	ADP
ejpam-5953	140	34	1	1	NUM
ejpam-5953	140	35	to	to	PART
ejpam-5953	140	36	10	10	NUM
ejpam-5953	140	37	.	.	PUNCT
ejpam-5953	141	1	•	•	NUM
ejpam-5953	141	2	impact	impact	NOUN
ejpam-5953	141	3	of	of	ADP
ejpam-5953	141	4	frame	frame	NOUN
ejpam-5953	141	5	size	size	NOUN
ejpam-5953	141	6	:	:	PUNCT
ejpam-5953	141	7	frame	frame	NOUN
ejpam-5953	141	8	sizes	size	NOUN
ejpam-5953	141	9	of	of	ADP
ejpam-5953	141	10	40	40	NUM
ejpam-5953	141	11	,	,	PUNCT
ejpam-5953	141	12	80	80	NUM
ejpam-5953	141	13	,	,	PUNCT
ejpam-5953	141	14	160	160	NUM
ejpam-5953	141	15	,	,	PUNCT
ejpam-5953	141	16	and	and	CCONJ
ejpam-5953	141	17	320	320	NUM
ejpam-5953	141	18	were	be	AUX
ejpam-5953	141	19	tested	test	VERB
ejpam-5953	141	20	.	.	PUNCT
ejpam-5953	142	1	•	•	NUM
ejpam-5953	142	2	snr	snr	PROPN
ejpam-5953	142	3	analysis	analysis	NOUN
ejpam-5953	142	4	:	:	PUNCT
ejpam-5953	142	5	simulations	simulation	NOUN
ejpam-5953	142	6	across	across	ADP
ejpam-5953	142	7	different	different	ADJ
ejpam-5953	142	8	snr	snr	NOUN
ejpam-5953	142	9	values	value	NOUN
ejpam-5953	142	10	demonstrated	demonstrate	VERB
ejpam-5953	142	11	that	that	SCONJ
ejpam-5953	142	12	higher	high	ADJ
ejpam-5953	142	13	snr	snr	PROPN
ejpam-5953	142	14	levels	level	NOUN
ejpam-5953	142	15	significantly	significantly	ADV
ejpam-5953	142	16	improved	improve	VERB
ejpam-5953	142	17	grid	grid	NOUN
ejpam-5953	142	18	stability	stability	NOUN
ejpam-5953	142	19	.	.	PUNCT
ejpam-5953	143	1	•	•	NUM
ejpam-5953	143	2	interleaving	interleave	VERB
ejpam-5953	143	3	randomness	randomness	NOUN
ejpam-5953	143	4	:	:	PUNCT
ejpam-5953	143	5	the	the	DET
ejpam-5953	143	6	role	role	NOUN
ejpam-5953	143	7	of	of	ADP
ejpam-5953	143	8	randomness	randomness	NOUN
ejpam-5953	143	9	introduced	introduce	VERB
ejpam-5953	143	10	by	by	ADP
ejpam-5953	143	11	interleaving	interleaving	NOUN
ejpam-5953	143	12	was	be	AUX
ejpam-5953	143	13	examined	examine	VERB
ejpam-5953	143	14	.	.	PUNCT
ejpam-5953	144	1	k.	k.	PROPN
ejpam-5953	144	2	danach	danach	PROPN
ejpam-5953	144	3	,	,	PUNCT
ejpam-5953	144	4	w.	w.	PROPN
ejpam-5953	144	5	h.	h.	PROPN
ejpam-5953	144	6	f.	f.	PROPN
ejpam-5953	144	7	aly	aly	PROPN
ejpam-5953	144	8	,	,	PUNCT
ejpam-5953	144	9	h.	h.	PROPN
ejpam-5953	144	10	kanj	kanj	PROPN
ejpam-5953	144	11	/	/	PUNCT
ejpam-5953	144	12	eur	eur	PROPN
ejpam-5953	144	13	.	.	PUNCT
ejpam-5953	145	1	j.	j.	PROPN
ejpam-5953	145	2	pure	pure	PROPN
ejpam-5953	145	3	appl	appl	PROPN
ejpam-5953	145	4	.	.	PROPN
ejpam-5953	145	5	math	math	PROPN
ejpam-5953	145	6	,	,	PUNCT
ejpam-5953	145	7	18	18	NUM
ejpam-5953	145	8	(	(	PUNCT
ejpam-5953	145	9	2	2	NUM
ejpam-5953	145	10	)	)	PUNCT
ejpam-5953	145	11	(	(	PUNCT
ejpam-5953	145	12	2025	2025	NUM
ejpam-5953	145	13	)	)	PUNCT
ejpam-5953	145	14	,	,	PUNCT
ejpam-5953	145	15	5953	5953	NUM
ejpam-5953	145	16	11	11	NUM
ejpam-5953	145	17	of	of	ADP
ejpam-5953	145	18	20	20	NUM
ejpam-5953	145	19	figure	figure	NOUN
ejpam-5953	145	20	6	6	NUM
ejpam-5953	145	21	:	:	PUNCT
ejpam-5953	145	22	data	datum	NOUN
ejpam-5953	145	23	preprocessing	preprocesse	VERB
ejpam-5953	145	24	3.5	3.5	NUM
ejpam-5953	145	25	.	.	PUNCT
ejpam-5953	146	1	hyperparameter	hyperparameter	NOUN
ejpam-5953	146	2	tuning	tune	VERB
ejpam-5953	146	3	hyperparameter	hyperparameter	NOUN
ejpam-5953	146	4	optimization	optimization	NOUN
ejpam-5953	146	5	was	be	AUX
ejpam-5953	146	6	conducted	conduct	VERB
ejpam-5953	146	7	using	use	VERB
ejpam-5953	146	8	grid	grid	NOUN
ejpam-5953	146	9	search	search	NOUN
ejpam-5953	146	10	and	and	CCONJ
ejpam-5953	146	11	bayesian	bayesian	NOUN
ejpam-5953	146	12	optimization	optimization	NOUN
ejpam-5953	146	13	.	.	PUNCT
ejpam-5953	147	1	the	the	DET
ejpam-5953	147	2	following	follow	VERB
ejpam-5953	147	3	parameters	parameter	NOUN
ejpam-5953	147	4	were	be	AUX
ejpam-5953	147	5	optimized	optimize	VERB
ejpam-5953	147	6	:	:	PUNCT
ejpam-5953	147	7	•	•	NUM
ejpam-5953	147	8	neural	neural	ADJ
ejpam-5953	147	9	networks	network	NOUN
ejpam-5953	147	10	:	:	PUNCT
ejpam-5953	147	11	learning	learn	VERB
ejpam-5953	147	12	rate	rate	NOUN
ejpam-5953	147	13	(	(	PUNCT
ejpam-5953	147	14	0.001	0.001	NUM
ejpam-5953	147	15	,	,	PUNCT
ejpam-5953	147	16	0.01	0.01	NUM
ejpam-5953	147	17	,	,	PUNCT
ejpam-5953	147	18	0.1	0.1	NUM
ejpam-5953	147	19	)	)	PUNCT
ejpam-5953	147	20	,	,	PUNCT
ejpam-5953	147	21	number	number	NOUN
ejpam-5953	147	22	of	of	ADP
ejpam-5953	147	23	layers	layer	NOUN
ejpam-5953	147	24	(	(	PUNCT
ejpam-5953	147	25	2	2	NUM
ejpam-5953	147	26	,	,	PUNCT
ejpam-5953	147	27	3	3	NUM
ejpam-5953	147	28	,	,	PUNCT
ejpam-5953	147	29	4	4	NUM
ejpam-5953	147	30	)	)	PUNCT
ejpam-5953	147	31	,	,	PUNCT
ejpam-5953	147	32	dropout	dropout	NOUN
ejpam-5953	147	33	rate	rate	NOUN
ejpam-5953	147	34	(	(	PUNCT
ejpam-5953	147	35	0.2	0.2	NUM
ejpam-5953	147	36	,	,	PUNCT
ejpam-5953	147	37	0.5	0.5	NUM
ejpam-5953	147	38	)	)	PUNCT
ejpam-5953	147	39	.	.	PUNCT
ejpam-5953	148	1	•	•	NUM
ejpam-5953	148	2	random	random	ADJ
ejpam-5953	148	3	forest	forest	NOUN
ejpam-5953	148	4	:	:	PUNCT
ejpam-5953	148	5	number	number	NOUN
ejpam-5953	148	6	of	of	ADP
ejpam-5953	148	7	trees	tree	NOUN
ejpam-5953	148	8	(	(	PUNCT
ejpam-5953	148	9	50	50	NUM
ejpam-5953	148	10	,	,	PUNCT
ejpam-5953	148	11	100	100	NUM
ejpam-5953	148	12	,	,	PUNCT
ejpam-5953	148	13	200	200	NUM
ejpam-5953	148	14	)	)	PUNCT
ejpam-5953	148	15	,	,	PUNCT
ejpam-5953	148	16	maximum	maximum	ADJ
ejpam-5953	148	17	depth	depth	NOUN
ejpam-5953	148	18	(	(	PUNCT
ejpam-5953	148	19	10	10	NUM
ejpam-5953	148	20	,	,	PUNCT
ejpam-5953	148	21	20	20	NUM
ejpam-5953	148	22	,	,	PUNCT
ejpam-5953	148	23	30	30	NUM
ejpam-5953	148	24	)	)	PUNCT
ejpam-5953	148	25	.	.	PUNCT
ejpam-5953	149	1	•	•	NUM
ejpam-5953	149	2	svm	svm	PROPN
ejpam-5953	149	3	:	:	PUNCT
ejpam-5953	149	4	kernel	kernel	PROPN
ejpam-5953	149	5	function	function	PROPN
ejpam-5953	149	6	(	(	PUNCT
ejpam-5953	149	7	rbf	rbf	PROPN
ejpam-5953	149	8	,	,	PUNCT
ejpam-5953	149	9	linear	linear	ADJ
ejpam-5953	149	10	,	,	PUNCT
ejpam-5953	149	11	polynomial	polynomial	ADJ
ejpam-5953	149	12	)	)	PUNCT
ejpam-5953	149	13	,	,	PUNCT
ejpam-5953	149	14	regularization	regularization	NOUN
ejpam-5953	149	15	parameter	parameter	NOUN
ejpam-5953	149	16	(	(	PUNCT
ejpam-5953	149	17	c=0.1	c=0.1	NOUN
ejpam-5953	149	18	,	,	PUNCT
ejpam-5953	149	19	1	1	NUM
ejpam-5953	149	20	,	,	PUNCT
ejpam-5953	149	21	10	10	NUM
ejpam-5953	149	22	)	)	PUNCT
ejpam-5953	149	23	.	.	PUNCT
ejpam-5953	150	1	the	the	DET
ejpam-5953	150	2	bayesian	bayesian	NOUN
ejpam-5953	150	3	optimization	optimization	NOUN
ejpam-5953	150	4	method	method	NOUN
ejpam-5953	150	5	was	be	AUX
ejpam-5953	150	6	used	use	VERB
ejpam-5953	150	7	for	for	ADP
ejpam-5953	150	8	deep	deep	ADJ
ejpam-5953	150	9	models	model	NOUN
ejpam-5953	150	10	due	due	ADP
ejpam-5953	150	11	to	to	ADP
ejpam-5953	150	12	its	its	PRON
ejpam-5953	150	13	efficiency	efficiency	NOUN
ejpam-5953	150	14	in	in	ADP
ejpam-5953	150	15	reducing	reduce	VERB
ejpam-5953	150	16	search	search	NOUN
ejpam-5953	150	17	space	space	NOUN
ejpam-5953	150	18	complexity	complexity	NOUN
ejpam-5953	150	19	.	.	PUNCT
ejpam-5953	150	20	”	"	PUNCT
ejpam-5953	151	1	3.6	3.6	NUM
ejpam-5953	151	2	.	.	PUNCT
ejpam-5953	152	1	training	training	NOUN
ejpam-5953	152	2	and	and	CCONJ
ejpam-5953	152	3	evaluation	evaluation	NOUN
ejpam-5953	152	4	the	the	DET
ejpam-5953	152	5	models	model	NOUN
ejpam-5953	152	6	were	be	AUX
ejpam-5953	152	7	trained	train	VERB
ejpam-5953	152	8	on	on	ADP
ejpam-5953	152	9	the	the	DET
ejpam-5953	152	10	training	training	NOUN
ejpam-5953	152	11	subset	subset	NOUN
ejpam-5953	152	12	and	and	CCONJ
ejpam-5953	152	13	evaluated	evaluate	VERB
ejpam-5953	152	14	on	on	ADP
ejpam-5953	152	15	the	the	DET
ejpam-5953	152	16	testing	testing	NOUN
ejpam-5953	152	17	subset	subset	NOUN
ejpam-5953	152	18	.	.	PUNCT
ejpam-5953	153	1	hyperparameter	hyperparameter	NOUN
ejpam-5953	153	2	optimization	optimization	NOUN
ejpam-5953	153	3	was	be	AUX
ejpam-5953	153	4	performed	perform	VERB
ejpam-5953	153	5	using	use	VERB
ejpam-5953	153	6	grid	grid	NOUN
ejpam-5953	153	7	search	search	NOUN
ejpam-5953	153	8	and	and	CCONJ
ejpam-5953	153	9	random	random	ADJ
ejpam-5953	153	10	search	search	NOUN
ejpam-5953	153	11	techk	techk	NOUN
ejpam-5953	153	12	.	.	PUNCT
ejpam-5953	154	1	danach	danach	PROPN
ejpam-5953	154	2	,	,	PUNCT
ejpam-5953	154	3	w.	w.	PROPN
ejpam-5953	154	4	h.	h.	PROPN
ejpam-5953	154	5	f.	f.	PROPN
ejpam-5953	154	6	aly	aly	PROPN
ejpam-5953	154	7	,	,	PUNCT
ejpam-5953	154	8	h.	h.	PROPN
ejpam-5953	154	9	kanj	kanj	PROPN
ejpam-5953	154	10	/	/	PUNCT
ejpam-5953	154	11	eur	eur	PROPN
ejpam-5953	154	12	.	.	PUNCT
ejpam-5953	155	1	j.	j.	PROPN
ejpam-5953	155	2	pure	pure	PROPN
ejpam-5953	155	3	appl	appl	PROPN
ejpam-5953	155	4	.	.	PROPN
ejpam-5953	155	5	math	math	PROPN
ejpam-5953	155	6	,	,	PUNCT
ejpam-5953	155	7	18	18	NUM
ejpam-5953	155	8	(	(	PUNCT
ejpam-5953	155	9	2	2	NUM
ejpam-5953	155	10	)	)	PUNCT
ejpam-5953	155	11	(	(	PUNCT
ejpam-5953	155	12	2025	2025	NUM
ejpam-5953	155	13	)	)	PUNCT
ejpam-5953	155	14	,	,	PUNCT
ejpam-5953	155	15	5953	5953	NUM
ejpam-5953	155	16	12	12	NUM
ejpam-5953	155	17	of	of	ADP
ejpam-5953	155	18	20	20	NUM
ejpam-5953	155	19	figure	figure	NOUN
ejpam-5953	155	20	7	7	NUM
ejpam-5953	155	21	:	:	PUNCT
ejpam-5953	155	22	machine	machine	NOUN
ejpam-5953	155	23	learning	learning	NOUN
ejpam-5953	155	24	models	model	NOUN
ejpam-5953	155	25	for	for	ADP
ejpam-5953	155	26	grid	grid	NOUN
ejpam-5953	155	27	stability	stability	NOUN
ejpam-5953	155	28	analysis	analysis	NOUN
ejpam-5953	155	29	niques	nique	NOUN
ejpam-5953	155	30	,	,	PUNCT
ejpam-5953	155	31	and	and	CCONJ
ejpam-5953	155	32	five	five	NUM
ejpam-5953	155	33	-	-	ADJ
ejpam-5953	155	34	fold	fold	ADJ
ejpam-5953	155	35	cross	cross	NOUN
ejpam-5953	155	36	-	-	ADJ
ejpam-5953	155	37	validation	validation	NOUN
ejpam-5953	155	38	was	be	AUX
ejpam-5953	155	39	employed	employ	VERB
ejpam-5953	155	40	to	to	PART
ejpam-5953	155	41	ensure	ensure	VERB
ejpam-5953	155	42	robust	robust	ADJ
ejpam-5953	155	43	performance	performance	NOUN
ejpam-5953	155	44	.	.	PUNCT
ejpam-5953	156	1	evaluation	evaluation	NOUN
ejpam-5953	156	2	metrics	metric	NOUN
ejpam-5953	156	3	for	for	ADP
ejpam-5953	156	4	classification	classification	NOUN
ejpam-5953	156	5	models	model	NOUN
ejpam-5953	156	6	included	include	VERB
ejpam-5953	156	7	accuracy	accuracy	NOUN
ejpam-5953	156	8	,	,	PUNCT
ejpam-5953	156	9	precision	precision	NOUN
ejpam-5953	156	10	,	,	PUNCT
ejpam-5953	156	11	recall	recall	NOUN
ejpam-5953	156	12	,	,	PUNCT
ejpam-5953	156	13	and	and	CCONJ
ejpam-5953	156	14	f1	f1	NOUN
ejpam-5953	156	15	-	-	PUNCT
ejpam-5953	156	16	score	score	NOUN
ejpam-5953	156	17	,	,	PUNCT
ejpam-5953	156	18	while	while	SCONJ
ejpam-5953	156	19	regression	regression	NOUN
ejpam-5953	156	20	models	model	NOUN
ejpam-5953	156	21	were	be	AUX
ejpam-5953	156	22	assessed	assess	VERB
ejpam-5953	156	23	using	use	VERB
ejpam-5953	156	24	mean	mean	ADJ
ejpam-5953	156	25	absolute	absolute	ADJ
ejpam-5953	156	26	error	error	NOUN
ejpam-5953	156	27	(	(	PUNCT
ejpam-5953	156	28	mae	mae	PROPN
ejpam-5953	156	29	)	)	PUNCT
ejpam-5953	156	30	and	and	CCONJ
ejpam-5953	156	31	r	r	NOUN
ejpam-5953	156	32	-	-	PUNCT
ejpam-5953	156	33	squared	square	VERB
ejpam-5953	156	34	values	value	NOUN
ejpam-5953	156	35	.	.	PUNCT
ejpam-5953	157	1	3.7	3.7	NUM
ejpam-5953	157	2	.	.	PUNCT
ejpam-5953	157	3	trade	trade	NOUN
ejpam-5953	157	4	-	-	PUNCT
ejpam-5953	157	5	off	off	ADP
ejpam-5953	157	6	analysis	analysis	NOUN
ejpam-5953	157	7	the	the	DET
ejpam-5953	157	8	study	study	NOUN
ejpam-5953	157	9	addressed	address	VERB
ejpam-5953	157	10	key	key	ADJ
ejpam-5953	157	11	trade	trade	NOUN
ejpam-5953	157	12	-	-	PUNCT
ejpam-5953	157	13	offs	off	NOUN
ejpam-5953	157	14	in	in	ADP
ejpam-5953	157	15	grid	grid	NOUN
ejpam-5953	157	16	stability	stability	NOUN
ejpam-5953	157	17	optimization	optimization	NOUN
ejpam-5953	157	18	.	.	PUNCT
ejpam-5953	158	1	larger	large	ADJ
ejpam-5953	158	2	frame	frame	NOUN
ejpam-5953	158	3	sizes	size	NOUN
ejpam-5953	158	4	reduced	reduce	VERB
ejpam-5953	158	5	ber	ber	NOUN
ejpam-5953	158	6	but	but	CCONJ
ejpam-5953	158	7	increased	increase	VERB
ejpam-5953	158	8	latency	latency	NOUN
ejpam-5953	158	9	,	,	PUNCT
ejpam-5953	158	10	while	while	SCONJ
ejpam-5953	158	11	additional	additional	ADJ
ejpam-5953	158	12	iterations	iteration	NOUN
ejpam-5953	158	13	improved	improve	VERB
ejpam-5953	158	14	error	error	NOUN
ejpam-5953	158	15	performance	performance	NOUN
ejpam-5953	158	16	but	but	CCONJ
ejpam-5953	158	17	introduced	introduce	VERB
ejpam-5953	158	18	computational	computational	ADJ
ejpam-5953	158	19	overhead	overhead	NOUN
ejpam-5953	158	20	.	.	PUNCT
ejpam-5953	159	1	higher	high	ADJ
ejpam-5953	159	2	bandwidth	bandwidth	ADJ
ejpam-5953	159	3	utilization	utilization	NOUN
ejpam-5953	159	4	was	be	AUX
ejpam-5953	159	5	shown	show	VERB
ejpam-5953	159	6	to	to	PART
ejpam-5953	159	7	enhance	enhance	VERB
ejpam-5953	159	8	grid	grid	NOUN
ejpam-5953	159	9	stability	stability	NOUN
ejpam-5953	159	10	but	but	CCONJ
ejpam-5953	159	11	at	at	ADP
ejpam-5953	159	12	the	the	DET
ejpam-5953	159	13	expense	expense	NOUN
ejpam-5953	159	14	of	of	ADP
ejpam-5953	159	15	increased	increase	VERB
ejpam-5953	159	16	resource	resource	NOUN
ejpam-5953	159	17	requirements	requirement	NOUN
ejpam-5953	159	18	.	.	PUNCT
ejpam-5953	160	1	4	4	X
ejpam-5953	160	2	.	.	NOUN
ejpam-5953	160	3	results	result	NOUN
ejpam-5953	160	4	and	and	CCONJ
ejpam-5953	160	5	discussion	discussion	NOUN
ejpam-5953	160	6	4.1	4.1	NUM
ejpam-5953	160	7	.	.	PUNCT
ejpam-5953	161	1	model	model	NOUN
ejpam-5953	161	2	performance	performance	NOUN
ejpam-5953	161	3	the	the	DET
ejpam-5953	161	4	performance	performance	NOUN
ejpam-5953	161	5	of	of	ADP
ejpam-5953	161	6	machine	machine	NOUN
ejpam-5953	161	7	learning	learning	NOUN
ejpam-5953	161	8	models	model	NOUN
ejpam-5953	161	9	in	in	ADP
ejpam-5953	161	10	predicting	predict	VERB
ejpam-5953	161	11	grid	grid	NOUN
ejpam-5953	161	12	stability	stability	NOUN
ejpam-5953	161	13	was	be	AUX
ejpam-5953	161	14	evaluated	evaluate	VERB
ejpam-5953	161	15	using	use	VERB
ejpam-5953	161	16	key	key	ADJ
ejpam-5953	161	17	metrics	metric	NOUN
ejpam-5953	161	18	:	:	PUNCT
ejpam-5953	161	19	accuracy	accuracy	NOUN
ejpam-5953	161	20	,	,	PUNCT
ejpam-5953	161	21	precision	precision	NOUN
ejpam-5953	161	22	,	,	PUNCT
ejpam-5953	161	23	recall	recall	NOUN
ejpam-5953	161	24	,	,	PUNCT
ejpam-5953	161	25	and	and	CCONJ
ejpam-5953	161	26	f1	f1	NOUN
ejpam-5953	161	27	-	-	PUNCT
ejpam-5953	161	28	score	score	NOUN
ejpam-5953	161	29	.	.	PUNCT
ejpam-5953	162	1	among	among	ADP
ejpam-5953	162	2	the	the	DET
ejpam-5953	162	3	tested	test	VERB
ejpam-5953	162	4	models	model	NOUN
ejpam-5953	162	5	,	,	PUNCT
ejpam-5953	162	6	the	the	DET
ejpam-5953	162	7	neural	neural	ADJ
ejpam-5953	162	8	network	network	NOUN
ejpam-5953	162	9	demonstrated	demonstrate	VERB
ejpam-5953	162	10	the	the	DET
ejpam-5953	162	11	highest	high	ADJ
ejpam-5953	162	12	performance	performance	NOUN
ejpam-5953	162	13	,	,	PUNCT
ejpam-5953	162	14	achieving	achieve	VERB
ejpam-5953	162	15	an	an	DET
ejpam-5953	162	16	accuracy	accuracy	NOUN
ejpam-5953	162	17	of	of	ADP
ejpam-5953	162	18	94	94	NUM
ejpam-5953	162	19	%	%	NOUN
ejpam-5953	162	20	,	,	PUNCT
ejpam-5953	162	21	a	a	DET
ejpam-5953	162	22	precision	precision	NOUN
ejpam-5953	162	23	of	of	ADP
ejpam-5953	162	24	93	93	NUM
ejpam-5953	162	25	%	%	NOUN
ejpam-5953	162	26	,	,	PUNCT
ejpam-5953	162	27	a	a	DET
ejpam-5953	162	28	recall	recall	NOUN
ejpam-5953	162	29	of	of	ADP
ejpam-5953	162	30	92	92	NUM
ejpam-5953	162	31	%	%	NOUN
ejpam-5953	162	32	,	,	PUNCT
ejpam-5953	162	33	and	and	CCONJ
ejpam-5953	162	34	an	an	DET
ejpam-5953	162	35	f1	f1	NOUN
ejpam-5953	162	36	-	-	PUNCT
ejpam-5953	162	37	score	score	NOUN
ejpam-5953	162	38	of	of	ADP
ejpam-5953	162	39	93	93	NUM
ejpam-5953	162	40	%	%	NOUN
ejpam-5953	162	41	.	.	PUNCT
ejpam-5953	163	1	the	the	DET
ejpam-5953	163	2	random	random	ADJ
ejpam-5953	163	3	forest	forest	NOUN
ejpam-5953	163	4	model	model	NOUN
ejpam-5953	163	5	closely	closely	ADV
ejpam-5953	163	6	followed	follow	VERB
ejpam-5953	163	7	with	with	ADP
ejpam-5953	163	8	an	an	DET
ejpam-5953	163	9	accuracy	accuracy	NOUN
ejpam-5953	163	10	of	of	ADP
ejpam-5953	163	11	92	92	NUM
ejpam-5953	163	12	%	%	NOUN
ejpam-5953	163	13	.	.	PUNCT
ejpam-5953	164	1	logistic	logistic	ADJ
ejpam-5953	164	2	regression	regression	NOUN
ejpam-5953	164	3	and	and	CCONJ
ejpam-5953	164	4	svm	svm	ADJ
ejpam-5953	164	5	,	,	PUNCT
ejpam-5953	164	6	while	while	SCONJ
ejpam-5953	164	7	effective	effective	ADJ
ejpam-5953	164	8	,	,	PUNCT
ejpam-5953	164	9	demonstrated	demonstrate	VERB
ejpam-5953	164	10	comparatively	comparatively	ADV
ejpam-5953	164	11	lower	low	ADJ
ejpam-5953	164	12	performance	performance	NOUN
ejpam-5953	164	13	,	,	PUNCT
ejpam-5953	164	14	highlighting	highlight	VERB
ejpam-5953	164	15	the	the	DET
ejpam-5953	164	16	importance	importance	NOUN
ejpam-5953	164	17	of	of	ADP
ejpam-5953	164	18	capturing	capture	VERB
ejpam-5953	164	19	non	non	ADJ
ejpam-5953	164	20	-	-	ADJ
ejpam-5953	164	21	linear	linear	ADJ
ejpam-5953	164	22	relationships	relationship	NOUN
ejpam-5953	164	23	for	for	ADP
ejpam-5953	164	24	improved	improved	ADJ
ejpam-5953	164	25	predictions	prediction	NOUN
ejpam-5953	164	26	as	as	SCONJ
ejpam-5953	164	27	shown	show	VERB
ejpam-5953	164	28	in	in	ADP
ejpam-5953	164	29	figure	figure	NOUN
ejpam-5953	164	30	9	9	NUM
ejpam-5953	164	31	.	.	PUNCT
ejpam-5953	165	1	k.	k.	PROPN
ejpam-5953	165	2	danach	danach	PROPN
ejpam-5953	165	3	,	,	PUNCT
ejpam-5953	165	4	w.	w.	PROPN
ejpam-5953	165	5	h.	h.	PROPN
ejpam-5953	165	6	f.	f.	PROPN
ejpam-5953	165	7	aly	aly	PROPN
ejpam-5953	165	8	,	,	PUNCT
ejpam-5953	165	9	h.	h.	PROPN
ejpam-5953	165	10	kanj	kanj	PROPN
ejpam-5953	165	11	/	/	PUNCT
ejpam-5953	165	12	eur	eur	PROPN
ejpam-5953	165	13	.	.	PUNCT
ejpam-5953	166	1	j.	j.	PROPN
ejpam-5953	166	2	pure	pure	PROPN
ejpam-5953	166	3	appl	appl	PROPN
ejpam-5953	166	4	.	.	PROPN
ejpam-5953	166	5	math	math	PROPN
ejpam-5953	166	6	,	,	PUNCT
ejpam-5953	166	7	18	18	NUM
ejpam-5953	166	8	(	(	PUNCT
ejpam-5953	166	9	2	2	NUM
ejpam-5953	166	10	)	)	PUNCT
ejpam-5953	166	11	(	(	PUNCT
ejpam-5953	166	12	2025	2025	NUM
ejpam-5953	166	13	)	)	PUNCT
ejpam-5953	166	14	,	,	PUNCT
ejpam-5953	166	15	5953	5953	NUM
ejpam-5953	166	16	13	13	NUM
ejpam-5953	166	17	of	of	ADP
ejpam-5953	166	18	20	20	NUM
ejpam-5953	166	19	figure	figure	NOUN
ejpam-5953	166	20	8	8	NUM
ejpam-5953	166	21	:	:	PUNCT
ejpam-5953	166	22	how	how	SCONJ
ejpam-5953	166	23	to	to	PART
ejpam-5953	166	24	optimize	optimize	VERB
ejpam-5953	166	25	model	model	NOUN
ejpam-5953	166	26	performance	performance	NOUN
ejpam-5953	166	27	in	in	ADP
ejpam-5953	166	28	simulations	simulation	NOUN
ejpam-5953	166	29	?	?	PUNCT
ejpam-5953	167	1	4.2	4.2	NUM
ejpam-5953	167	2	.	.	PUNCT
ejpam-5953	167	3	impact	impact	NOUN
ejpam-5953	167	4	of	of	ADP
ejpam-5953	167	5	iterative	iterative	NOUN
ejpam-5953	167	6	decoding	decode	VERB
ejpam-5953	167	7	the	the	DET
ejpam-5953	167	8	reduction	reduction	NOUN
ejpam-5953	167	9	in	in	ADP
ejpam-5953	167	10	bit	bit	NOUN
ejpam-5953	167	11	error	error	NOUN
ejpam-5953	167	12	rate	rate	NOUN
ejpam-5953	167	13	(	(	PUNCT
ejpam-5953	167	14	ber	ber	PROPN
ejpam-5953	167	15	)	)	PUNCT
ejpam-5953	167	16	over	over	ADP
ejpam-5953	167	17	decoding	decode	VERB
ejpam-5953	167	18	iterations	iteration	NOUN
ejpam-5953	167	19	was	be	AUX
ejpam-5953	167	20	analyzed	analyze	VERB
ejpam-5953	167	21	.	.	PUNCT
ejpam-5953	168	1	significant	significant	ADJ
ejpam-5953	168	2	improvements	improvement	NOUN
ejpam-5953	168	3	were	be	AUX
ejpam-5953	168	4	observed	observe	VERB
ejpam-5953	168	5	during	during	ADP
ejpam-5953	168	6	the	the	DET
ejpam-5953	168	7	first	first	ADJ
ejpam-5953	168	8	five	five	NUM
ejpam-5953	168	9	iterations	iteration	NOUN
ejpam-5953	168	10	,	,	PUNCT
ejpam-5953	168	11	with	with	ADP
ejpam-5953	168	12	ber	ber	NOUN
ejpam-5953	168	13	reducing	reduce	VERB
ejpam-5953	168	14	from	from	ADP
ejpam-5953	168	15	0.08	0.08	NUM
ejpam-5953	168	16	to	to	PART
ejpam-5953	168	17	0.02	0.02	NUM
ejpam-5953	168	18	.	.	PUNCT
ejpam-5953	169	1	beyond	beyond	ADP
ejpam-5953	169	2	five	five	NUM
ejpam-5953	169	3	iterations	iteration	NOUN
ejpam-5953	169	4	,	,	PUNCT
ejpam-5953	169	5	the	the	DET
ejpam-5953	169	6	improvements	improvement	NOUN
ejpam-5953	169	7	diminished	diminish	VERB
ejpam-5953	169	8	,	,	PUNCT
ejpam-5953	169	9	stabilizing	stabilize	VERB
ejpam-5953	169	10	at	at	ADP
ejpam-5953	169	11	approximately	approximately	ADV
ejpam-5953	169	12	0.0169	0.0169	NUM
ejpam-5953	169	13	after	after	ADP
ejpam-5953	169	14	ten	ten	NUM
ejpam-5953	169	15	iterations	iteration	NOUN
ejpam-5953	169	16	.	.	PUNCT
ejpam-5953	170	1	these	these	DET
ejpam-5953	170	2	results	result	NOUN
ejpam-5953	170	3	confirm	confirm	VERB
ejpam-5953	170	4	the	the	DET
ejpam-5953	170	5	hypothesis	hypothesis	NOUN
ejpam-5953	170	6	that	that	PRON
ejpam-5953	170	7	performance	performance	NOUN
ejpam-5953	170	8	gains	gain	NOUN
ejpam-5953	170	9	diminish	diminish	VERB
ejpam-5953	170	10	with	with	ADP
ejpam-5953	170	11	additional	additional	ADJ
ejpam-5953	170	12	iterations	iteration	NOUN
ejpam-5953	170	13	,	,	PUNCT
ejpam-5953	170	14	emphasizing	emphasize	VERB
ejpam-5953	170	15	the	the	DET
ejpam-5953	170	16	trade	trade	NOUN
ejpam-5953	170	17	-	-	PUNCT
ejpam-5953	170	18	off	off	NOUN
ejpam-5953	170	19	between	between	ADP
ejpam-5953	170	20	error	error	NOUN
ejpam-5953	170	21	performance	performance	NOUN
ejpam-5953	170	22	and	and	CCONJ
ejpam-5953	170	23	computational	computational	ADJ
ejpam-5953	170	24	complexity	complexity	NOUN
ejpam-5953	170	25	as	as	SCONJ
ejpam-5953	170	26	shown	show	VERB
ejpam-5953	170	27	in	in	ADP
ejpam-5953	170	28	figure	figure	NOUN
ejpam-5953	170	29	10	10	NUM
ejpam-5953	170	30	.	.	PUNCT
ejpam-5953	171	1	4.3	4.3	NUM
ejpam-5953	171	2	.	.	PUNCT
ejpam-5953	171	3	effect	effect	NOUN
ejpam-5953	171	4	of	of	ADP
ejpam-5953	171	5	frame	frame	NOUN
ejpam-5953	171	6	size	size	NOUN
ejpam-5953	171	7	on	on	ADP
ejpam-5953	171	8	ber	ber	NOUN
ejpam-5953	171	9	the	the	DET
ejpam-5953	171	10	impact	impact	NOUN
ejpam-5953	171	11	of	of	ADP
ejpam-5953	171	12	frame	frame	NOUN
ejpam-5953	171	13	size	size	NOUN
ejpam-5953	171	14	on	on	ADP
ejpam-5953	171	15	ber	ber	PROPN
ejpam-5953	171	16	was	be	AUX
ejpam-5953	171	17	evaluated	evaluate	VERB
ejpam-5953	171	18	using	use	VERB
ejpam-5953	171	19	frame	frame	NOUN
ejpam-5953	171	20	sizes	size	NOUN
ejpam-5953	171	21	of	of	ADP
ejpam-5953	171	22	40	40	NUM
ejpam-5953	171	23	,	,	PUNCT
ejpam-5953	171	24	80	80	NUM
ejpam-5953	171	25	,	,	PUNCT
ejpam-5953	171	26	160	160	NUM
ejpam-5953	171	27	,	,	PUNCT
ejpam-5953	171	28	and	and	CCONJ
ejpam-5953	171	29	320	320	NUM
ejpam-5953	171	30	.	.	PUNCT
ejpam-5953	172	1	larger	large	ADJ
ejpam-5953	172	2	frame	frame	NOUN
ejpam-5953	172	3	sizes	size	NOUN
ejpam-5953	172	4	led	lead	VERB
ejpam-5953	172	5	to	to	ADP
ejpam-5953	172	6	a	a	DET
ejpam-5953	172	7	significant	significant	ADJ
ejpam-5953	172	8	reduction	reduction	NOUN
ejpam-5953	172	9	in	in	ADP
ejpam-5953	172	10	ber	ber	PROPN
ejpam-5953	172	11	,	,	PUNCT
ejpam-5953	172	12	dropping	drop	VERB
ejpam-5953	172	13	from	from	ADP
ejpam-5953	172	14	0.04	0.04	NUM
ejpam-5953	172	15	for	for	ADP
ejpam-5953	172	16	a	a	DET
ejpam-5953	172	17	frame	frame	NOUN
ejpam-5953	172	18	size	size	NOUN
ejpam-5953	172	19	of	of	ADP
ejpam-5953	172	20	40	40	NUM
ejpam-5953	172	21	to	to	PART
ejpam-5953	172	22	0.005	0.005	NUM
ejpam-5953	172	23	for	for	ADP
ejpam-5953	172	24	a	a	DET
ejpam-5953	172	25	frame	frame	NOUN
ejpam-5953	172	26	size	size	NOUN
ejpam-5953	172	27	of	of	ADP
ejpam-5953	172	28	320	320	NUM
ejpam-5953	172	29	.	.	PUNCT
ejpam-5953	173	1	while	while	SCONJ
ejpam-5953	173	2	larger	large	ADJ
ejpam-5953	173	3	frames	frame	NOUN
ejpam-5953	173	4	improved	improve	VERB
ejpam-5953	173	5	error	error	NOUN
ejpam-5953	173	6	correction	correction	NOUN
ejpam-5953	173	7	,	,	PUNCT
ejpam-5953	173	8	they	they	PRON
ejpam-5953	173	9	introduced	introduce	VERB
ejpam-5953	173	10	latency	latency	NOUN
ejpam-5953	173	11	,	,	PUNCT
ejpam-5953	173	12	highlighting	highlight	VERB
ejpam-5953	173	13	a	a	DET
ejpam-5953	173	14	critical	critical	ADJ
ejpam-5953	173	15	trade	trade	NOUN
ejpam-5953	173	16	-	-	PUNCT
ejpam-5953	173	17	off	off	NOUN
ejpam-5953	173	18	between	between	ADP
ejpam-5953	173	19	performance	performance	NOUN
ejpam-5953	173	20	and	and	CCONJ
ejpam-5953	173	21	delay	delay	NOUN
ejpam-5953	173	22	as	as	SCONJ
ejpam-5953	173	23	shown	show	VERB
ejpam-5953	173	24	in	in	ADP
ejpam-5953	173	25	figure	figure	NOUN
ejpam-5953	173	26	11	11	NUM
ejpam-5953	173	27	.	.	PUNCT
ejpam-5953	174	1	4.4	4.4	NUM
ejpam-5953	174	2	.	.	PUNCT
ejpam-5953	175	1	feature	feature	NOUN
ejpam-5953	175	2	importance	importance	NOUN
ejpam-5953	175	3	analysis	analysis	NOUN
ejpam-5953	175	4	using	use	VERB
ejpam-5953	175	5	shap	shap	PROPN
ejpam-5953	175	6	(	(	PUNCT
ejpam-5953	175	7	shapley	shapley	ADJ
ejpam-5953	175	8	additive	additive	ADJ
ejpam-5953	175	9	explanations	explanation	NOUN
ejpam-5953	175	10	)	)	PUNCT
ejpam-5953	175	11	,	,	PUNCT
ejpam-5953	175	12	we	we	PRON
ejpam-5953	175	13	identified	identify	VERB
ejpam-5953	175	14	that	that	SCONJ
ejpam-5953	175	15	the	the	DET
ejpam-5953	175	16	top	top	ADJ
ejpam-5953	175	17	three	three	NUM
ejpam-5953	175	18	features	feature	NOUN
ejpam-5953	175	19	influencing	influence	VERB
ejpam-5953	175	20	grid	grid	NOUN
ejpam-5953	175	21	stability	stability	NOUN
ejpam-5953	175	22	were	be	AUX
ejpam-5953	175	23	:	:	PUNCT
ejpam-5953	175	24	•	•	ADV
ejpam-5953	175	25	signal	signal	VERB
ejpam-5953	175	26	-	-	PUNCT
ejpam-5953	175	27	to	to	ADP
ejpam-5953	175	28	-	-	PUNCT
ejpam-5953	175	29	noise	noise	NOUN
ejpam-5953	175	30	ratio	ratio	NOUN
ejpam-5953	175	31	(	(	PUNCT
ejpam-5953	175	32	snr	snr	PROPN
ejpam-5953	175	33	)	)	PUNCT
ejpam-5953	175	34	k.	k.	PROPN
ejpam-5953	175	35	danach	danach	PROPN
ejpam-5953	175	36	,	,	PUNCT
ejpam-5953	175	37	w.	w.	PROPN
ejpam-5953	175	38	h.	h.	PROPN
ejpam-5953	175	39	f.	f.	PROPN
ejpam-5953	175	40	aly	aly	PROPN
ejpam-5953	175	41	,	,	PUNCT
ejpam-5953	175	42	h.	h.	PROPN
ejpam-5953	175	43	kanj	kanj	PROPN
ejpam-5953	175	44	/	/	PUNCT
ejpam-5953	175	45	eur	eur	PROPN
ejpam-5953	175	46	.	.	PUNCT
ejpam-5953	176	1	j.	j.	PROPN
ejpam-5953	176	2	pure	pure	PROPN
ejpam-5953	176	3	appl	appl	PROPN
ejpam-5953	176	4	.	.	PROPN
ejpam-5953	176	5	math	math	PROPN
ejpam-5953	176	6	,	,	PUNCT
ejpam-5953	176	7	18	18	NUM
ejpam-5953	176	8	(	(	PUNCT
ejpam-5953	176	9	2	2	NUM
ejpam-5953	176	10	)	)	PUNCT
ejpam-5953	176	11	(	(	PUNCT
ejpam-5953	176	12	2025	2025	NUM
ejpam-5953	176	13	)	)	PUNCT
ejpam-5953	176	14	,	,	PUNCT
ejpam-5953	176	15	5953	5953	NUM
ejpam-5953	176	16	14	14	NUM
ejpam-5953	176	17	of	of	ADP
ejpam-5953	176	18	20	20	NUM
ejpam-5953	176	19	figure	figure	NOUN
ejpam-5953	176	20	9	9	NUM
ejpam-5953	176	21	:	:	PUNCT
ejpam-5953	176	22	performance	performance	NOUN
ejpam-5953	176	23	metrics	metric	NOUN
ejpam-5953	176	24	of	of	ADP
ejpam-5953	176	25	machine	machine	NOUN
ejpam-5953	176	26	learning	learning	NOUN
ejpam-5953	176	27	models	model	NOUN
ejpam-5953	176	28	.	.	PUNCT
ejpam-5953	177	1	this	this	DET
ejpam-5953	177	2	line	line	NOUN
ejpam-5953	177	3	plot	plot	NOUN
ejpam-5953	177	4	compares	compare	VERB
ejpam-5953	177	5	the	the	DET
ejpam-5953	177	6	performance	performance	NOUN
ejpam-5953	177	7	of	of	ADP
ejpam-5953	177	8	four	four	NUM
ejpam-5953	177	9	machine	machine	NOUN
ejpam-5953	177	10	learning	learning	NOUN
ejpam-5953	177	11	models	model	NOUN
ejpam-5953	177	12	—	—	PUNCT
ejpam-5953	177	13	logistic	logistic	ADJ
ejpam-5953	177	14	regression	regression	NOUN
ejpam-5953	177	15	,	,	PUNCT
ejpam-5953	177	16	random	random	ADJ
ejpam-5953	177	17	forest	forest	NOUN
ejpam-5953	177	18	,	,	PUNCT
ejpam-5953	177	19	svm	svm	PROPN
ejpam-5953	177	20	,	,	PUNCT
ejpam-5953	177	21	and	and	CCONJ
ejpam-5953	177	22	neural	neural	ADJ
ejpam-5953	177	23	network	network	NOUN
ejpam-5953	177	24	—	—	PUNCT
ejpam-5953	177	25	using	use	VERB
ejpam-5953	177	26	key	key	ADJ
ejpam-5953	177	27	metrics	metric	NOUN
ejpam-5953	177	28	:	:	PUNCT
ejpam-5953	177	29	accuracy	accuracy	NOUN
ejpam-5953	177	30	,	,	PUNCT
ejpam-5953	177	31	precision	precision	NOUN
ejpam-5953	177	32	,	,	PUNCT
ejpam-5953	177	33	recall	recall	NOUN
ejpam-5953	177	34	,	,	PUNCT
ejpam-5953	177	35	and	and	CCONJ
ejpam-5953	177	36	f1	f1	NOUN
ejpam-5953	177	37	-	-	PUNCT
ejpam-5953	177	38	score	score	NOUN
ejpam-5953	177	39	.	.	PUNCT
ejpam-5953	178	1	neural	neural	ADJ
ejpam-5953	178	2	network	network	NOUN
ejpam-5953	178	3	achieves	achieve	VERB
ejpam-5953	178	4	the	the	DET
ejpam-5953	178	5	highest	high	ADJ
ejpam-5953	178	6	performance	performance	NOUN
ejpam-5953	178	7	across	across	ADP
ejpam-5953	178	8	all	all	DET
ejpam-5953	178	9	metrics	metric	NOUN
ejpam-5953	178	10	,	,	PUNCT
ejpam-5953	178	11	closely	closely	ADV
ejpam-5953	178	12	followed	follow	VERB
ejpam-5953	178	13	by	by	ADP
ejpam-5953	178	14	random	random	ADJ
ejpam-5953	178	15	forest	forest	NOUN
ejpam-5953	178	16	.	.	PUNCT
ejpam-5953	179	1	logistic	logistic	ADJ
ejpam-5953	179	2	regression	regression	NOUN
ejpam-5953	179	3	and	and	CCONJ
ejpam-5953	179	4	svm	svm	PROPN
ejpam-5953	179	5	exhibit	exhibit	VERB
ejpam-5953	179	6	relatively	relatively	ADV
ejpam-5953	179	7	lower	low	ADJ
ejpam-5953	179	8	performance	performance	NOUN
ejpam-5953	179	9	,	,	PUNCT
ejpam-5953	179	10	emphasizing	emphasize	VERB
ejpam-5953	179	11	the	the	DET
ejpam-5953	179	12	importance	importance	NOUN
ejpam-5953	179	13	of	of	ADP
ejpam-5953	179	14	capturing	capture	VERB
ejpam-5953	179	15	non	non	ADJ
ejpam-5953	179	16	-	-	ADJ
ejpam-5953	179	17	linear	linear	ADJ
ejpam-5953	179	18	relationships	relationship	NOUN
ejpam-5953	179	19	for	for	ADP
ejpam-5953	179	20	improved	improved	ADJ
ejpam-5953	179	21	predictions	prediction	NOUN
ejpam-5953	179	22	.	.	PUNCT
ejpam-5953	180	1	•	•	NUM
ejpam-5953	180	2	renewable	renewable	ADJ
ejpam-5953	180	3	energy	energy	NOUN
ejpam-5953	180	4	contribution	contribution	NOUN
ejpam-5953	180	5	•	•	NOUN
ejpam-5953	180	6	frame	frame	NOUN
ejpam-5953	180	7	size	size	NOUN
ejpam-5953	180	8	deep	deep	ADJ
ejpam-5953	180	9	learning	learning	NOUN
ejpam-5953	180	10	outperformed	outperform	VERB
ejpam-5953	180	11	others	other	NOUN
ejpam-5953	180	12	due	due	ADP
ejpam-5953	180	13	to	to	ADP
ejpam-5953	180	14	their	their	PRON
ejpam-5953	180	15	ability	ability	NOUN
ejpam-5953	180	16	to	to	PART
ejpam-5953	180	17	capture	capture	VERB
ejpam-5953	180	18	non	non	ADJ
ejpam-5953	180	19	-	-	ADJ
ejpam-5953	180	20	linear	linear	ADJ
ejpam-5953	180	21	interactions	interaction	NOUN
ejpam-5953	180	22	between	between	ADP
ejpam-5953	180	23	these	these	DET
ejpam-5953	180	24	variables	variable	NOUN
ejpam-5953	180	25	.	.	PUNCT
ejpam-5953	181	1	4.5	4.5	NUM
ejpam-5953	181	2	.	.	PUNCT
ejpam-5953	182	1	sensitivity	sensitivity	NOUN
ejpam-5953	182	2	analysis	analysis	NOUN
ejpam-5953	182	3	the	the	DET
ejpam-5953	182	4	sensitivity	sensitivity	NOUN
ejpam-5953	182	5	analysis	analysis	NOUN
ejpam-5953	182	6	examines	examine	VERB
ejpam-5953	182	7	the	the	DET
ejpam-5953	182	8	robustness	robustness	NOUN
ejpam-5953	182	9	of	of	ADP
ejpam-5953	182	10	the	the	DET
ejpam-5953	182	11	proposed	propose	VERB
ejpam-5953	182	12	machine	machine	NOUN
ejpam-5953	182	13	learning	learning	NOUN
ejpam-5953	182	14	models	model	NOUN
ejpam-5953	182	15	under	under	ADP
ejpam-5953	182	16	varying	vary	VERB
ejpam-5953	182	17	key	key	ADJ
ejpam-5953	182	18	parameters	parameter	NOUN
ejpam-5953	182	19	,	,	PUNCT
ejpam-5953	182	20	including	include	VERB
ejpam-5953	182	21	signal	signal	NOUN
ejpam-5953	182	22	-	-	PUNCT
ejpam-5953	182	23	to	to	ADP
ejpam-5953	182	24	-	-	PUNCT
ejpam-5953	182	25	noise	noise	NOUN
ejpam-5953	182	26	ratio	ratio	NOUN
ejpam-5953	182	27	(	(	PUNCT
ejpam-5953	182	28	snr	snr	PROPN
ejpam-5953	182	29	)	)	PUNCT
ejpam-5953	182	30	,	,	PUNCT
ejpam-5953	182	31	iteration	iteration	NOUN
ejpam-5953	182	32	count	count	NOUN
ejpam-5953	182	33	,	,	PUNCT
ejpam-5953	182	34	and	and	CCONJ
ejpam-5953	182	35	frame	frame	NOUN
ejpam-5953	182	36	size	size	NOUN
ejpam-5953	182	37	.	.	PUNCT
ejpam-5953	183	1	these	these	DET
ejpam-5953	183	2	parameters	parameter	NOUN
ejpam-5953	183	3	are	be	AUX
ejpam-5953	183	4	critical	critical	ADJ
ejpam-5953	183	5	to	to	ADP
ejpam-5953	183	6	optimizing	optimize	VERB
ejpam-5953	183	7	grid	grid	NOUN
ejpam-5953	183	8	stability	stability	NOUN
ejpam-5953	183	9	and	and	CCONJ
ejpam-5953	183	10	ensuring	ensure	VERB
ejpam-5953	183	11	the	the	DET
ejpam-5953	183	12	effectiveness	effectiveness	NOUN
ejpam-5953	183	13	of	of	ADP
ejpam-5953	183	14	the	the	DET
ejpam-5953	183	15	proposed	propose	VERB
ejpam-5953	183	16	solutions	solution	NOUN
ejpam-5953	183	17	.	.	PUNCT
ejpam-5953	184	1	to	to	PART
ejpam-5953	184	2	assess	assess	VERB
ejpam-5953	184	3	model	model	NOUN
ejpam-5953	184	4	robustness	robustness	NOUN
ejpam-5953	184	5	,	,	PUNCT
ejpam-5953	184	6	confidence	confidence	NOUN
ejpam-5953	184	7	intervals	interval	NOUN
ejpam-5953	184	8	(	(	PUNCT
ejpam-5953	184	9	95	95	NUM
ejpam-5953	184	10	%	%	NOUN
ejpam-5953	184	11	)	)	PUNCT
ejpam-5953	184	12	were	be	AUX
ejpam-5953	184	13	computed	compute	VERB
ejpam-5953	184	14	using	use	VERB
ejpam-5953	184	15	bootstrapping	bootstrappe	VERB
ejpam-5953	184	16	over	over	ADP
ejpam-5953	184	17	100	100	NUM
ejpam-5953	184	18	iterations	iteration	NOUN
ejpam-5953	184	19	.	.	PUNCT
ejpam-5953	185	1	figure	figure	NOUN
ejpam-5953	185	2	12	12	NUM
ejpam-5953	185	3	shows	show	VERB
ejpam-5953	185	4	the	the	DET
ejpam-5953	185	5	impact	impact	NOUN
ejpam-5953	185	6	of	of	ADP
ejpam-5953	185	7	noise	noise	NOUN
ejpam-5953	185	8	levels	level	NOUN
ejpam-5953	185	9	on	on	ADP
ejpam-5953	185	10	model	model	NOUN
ejpam-5953	185	11	predictions	prediction	NOUN
ejpam-5953	185	12	.	.	PUNCT
ejpam-5953	186	1	4.6	4.6	NUM
ejpam-5953	186	2	.	.	PUNCT
ejpam-5953	186	3	discussion	discussion	NOUN
ejpam-5953	186	4	the	the	DET
ejpam-5953	186	5	results	result	NOUN
ejpam-5953	186	6	demonstrate	demonstrate	VERB
ejpam-5953	186	7	the	the	DET
ejpam-5953	186	8	efficacy	efficacy	NOUN
ejpam-5953	186	9	of	of	ADP
ejpam-5953	186	10	machine	machine	NOUN
ejpam-5953	186	11	learning	learning	NOUN
ejpam-5953	186	12	models	model	NOUN
ejpam-5953	186	13	,	,	PUNCT
ejpam-5953	186	14	particularly	particularly	ADV
ejpam-5953	186	15	neural	neural	ADJ
ejpam-5953	186	16	networks	network	NOUN
ejpam-5953	186	17	and	and	CCONJ
ejpam-5953	186	18	random	random	ADJ
ejpam-5953	186	19	forests	forest	NOUN
ejpam-5953	186	20	,	,	PUNCT
ejpam-5953	186	21	in	in	ADP
ejpam-5953	186	22	predicting	predict	VERB
ejpam-5953	186	23	and	and	CCONJ
ejpam-5953	186	24	optimizing	optimize	VERB
ejpam-5953	186	25	grid	grid	NOUN
ejpam-5953	186	26	stability	stability	NOUN
ejpam-5953	186	27	.	.	PUNCT
ejpam-5953	187	1	iterative	iterative	NOUN
ejpam-5953	187	2	decoding	decoding	NOUN
ejpam-5953	187	3	proved	prove	VERB
ejpam-5953	187	4	effective	effective	ADJ
ejpam-5953	187	5	up	up	ADP
ejpam-5953	187	6	to	to	ADP
ejpam-5953	187	7	a	a	DET
ejpam-5953	187	8	point	point	NOUN
ejpam-5953	187	9	,	,	PUNCT
ejpam-5953	187	10	beyond	beyond	ADP
ejpam-5953	187	11	which	which	PRON
ejpam-5953	187	12	computational	computational	ADJ
ejpam-5953	187	13	overhead	overhead	NOUN
ejpam-5953	187	14	outweighed	outweigh	VERB
ejpam-5953	187	15	k.	k.	PROPN
ejpam-5953	187	16	danach	danach	PROPN
ejpam-5953	187	17	,	,	PUNCT
ejpam-5953	187	18	w.	w.	PROPN
ejpam-5953	187	19	h.	h.	PROPN
ejpam-5953	187	20	f.	f.	PROPN
ejpam-5953	187	21	aly	aly	PROPN
ejpam-5953	187	22	,	,	PUNCT
ejpam-5953	187	23	h.	h.	PROPN
ejpam-5953	187	24	kanj	kanj	PROPN
ejpam-5953	187	25	/	/	PUNCT
ejpam-5953	187	26	eur	eur	PROPN
ejpam-5953	187	27	.	.	PUNCT
ejpam-5953	188	1	j.	j.	PROPN
ejpam-5953	188	2	pure	pure	PROPN
ejpam-5953	188	3	appl	appl	PROPN
ejpam-5953	188	4	.	.	PROPN
ejpam-5953	188	5	math	math	PROPN
ejpam-5953	188	6	,	,	PUNCT
ejpam-5953	188	7	18	18	NUM
ejpam-5953	188	8	(	(	PUNCT
ejpam-5953	188	9	2	2	NUM
ejpam-5953	188	10	)	)	PUNCT
ejpam-5953	188	11	(	(	PUNCT
ejpam-5953	188	12	2025	2025	NUM
ejpam-5953	188	13	)	)	PUNCT
ejpam-5953	188	14	,	,	PUNCT
ejpam-5953	188	15	5953	5953	NUM
ejpam-5953	188	16	15	15	NUM
ejpam-5953	188	17	of	of	ADP
ejpam-5953	188	18	20	20	NUM
ejpam-5953	188	19	figure	figure	NOUN
ejpam-5953	188	20	10	10	NUM
ejpam-5953	188	21	:	:	PUNCT
ejpam-5953	188	22	bit	bit	NOUN
ejpam-5953	188	23	error	error	NOUN
ejpam-5953	188	24	rate	rate	NOUN
ejpam-5953	188	25	(	(	PUNCT
ejpam-5953	188	26	ber	ber	NOUN
ejpam-5953	188	27	)	)	PUNCT
ejpam-5953	188	28	reduction	reduction	NOUN
ejpam-5953	188	29	over	over	ADP
ejpam-5953	188	30	iterations	iteration	NOUN
ejpam-5953	188	31	.	.	PUNCT
ejpam-5953	189	1	this	this	DET
ejpam-5953	189	2	line	line	NOUN
ejpam-5953	189	3	plot	plot	NOUN
ejpam-5953	189	4	illustrates	illustrate	VERB
ejpam-5953	189	5	the	the	DET
ejpam-5953	189	6	reduction	reduction	NOUN
ejpam-5953	189	7	in	in	ADP
ejpam-5953	189	8	bit	bit	NOUN
ejpam-5953	189	9	error	error	NOUN
ejpam-5953	189	10	rate	rate	NOUN
ejpam-5953	189	11	(	(	PUNCT
ejpam-5953	189	12	ber	ber	PROPN
ejpam-5953	189	13	)	)	PUNCT
ejpam-5953	189	14	as	as	ADP
ejpam-5953	189	15	the	the	DET
ejpam-5953	189	16	number	number	NOUN
ejpam-5953	189	17	of	of	ADP
ejpam-5953	189	18	decoding	decode	VERB
ejpam-5953	189	19	iterations	iteration	NOUN
ejpam-5953	189	20	increases	increase	NOUN
ejpam-5953	189	21	.	.	PUNCT
ejpam-5953	190	1	significant	significant	ADJ
ejpam-5953	190	2	improvements	improvement	NOUN
ejpam-5953	190	3	are	be	AUX
ejpam-5953	190	4	observed	observe	VERB
ejpam-5953	190	5	during	during	ADP
ejpam-5953	190	6	the	the	DET
ejpam-5953	190	7	first	first	ADJ
ejpam-5953	190	8	five	five	NUM
ejpam-5953	190	9	iterations	iteration	NOUN
ejpam-5953	190	10	,	,	PUNCT
ejpam-5953	190	11	with	with	ADP
ejpam-5953	190	12	ber	ber	NOUN
ejpam-5953	190	13	decreasing	decrease	VERB
ejpam-5953	190	14	from	from	ADP
ejpam-5953	190	15	0.08	0.08	NUM
ejpam-5953	190	16	to	to	PART
ejpam-5953	190	17	0.02	0.02	NUM
ejpam-5953	190	18	.	.	PUNCT
ejpam-5953	191	1	beyond	beyond	ADP
ejpam-5953	191	2	five	five	NUM
ejpam-5953	191	3	iterations	iteration	NOUN
ejpam-5953	191	4	,	,	PUNCT
ejpam-5953	191	5	the	the	DET
ejpam-5953	191	6	rate	rate	NOUN
ejpam-5953	191	7	of	of	ADP
ejpam-5953	191	8	improvement	improvement	NOUN
ejpam-5953	191	9	diminishes	diminish	VERB
ejpam-5953	191	10	,	,	PUNCT
ejpam-5953	191	11	stabilizing	stabilize	VERB
ejpam-5953	191	12	near	near	ADP
ejpam-5953	191	13	0.0169	0.0169	NUM
ejpam-5953	191	14	by	by	ADP
ejpam-5953	191	15	the	the	DET
ejpam-5953	191	16	tenth	tenth	ADJ
ejpam-5953	191	17	iteration	iteration	NOUN
ejpam-5953	191	18	.	.	PUNCT
ejpam-5953	192	1	performance	performance	NOUN
ejpam-5953	192	2	benefits	benefit	NOUN
ejpam-5953	192	3	.	.	PUNCT
ejpam-5953	193	1	larger	large	ADJ
ejpam-5953	193	2	frame	frame	NOUN
ejpam-5953	193	3	sizes	size	NOUN
ejpam-5953	193	4	provided	provide	VERB
ejpam-5953	193	5	substantial	substantial	ADJ
ejpam-5953	193	6	improvements	improvement	NOUN
ejpam-5953	193	7	in	in	ADP
ejpam-5953	193	8	ber	ber	PROPN
ejpam-5953	193	9	,	,	PUNCT
ejpam-5953	193	10	but	but	CCONJ
ejpam-5953	193	11	their	their	PRON
ejpam-5953	193	12	impact	impact	NOUN
ejpam-5953	193	13	on	on	ADP
ejpam-5953	193	14	latency	latency	NOUN
ejpam-5953	193	15	underscores	underscore	VERB
ejpam-5953	193	16	the	the	DET
ejpam-5953	193	17	need	need	NOUN
ejpam-5953	193	18	for	for	ADP
ejpam-5953	193	19	a	a	DET
ejpam-5953	193	20	balanced	balanced	ADJ
ejpam-5953	193	21	approach	approach	NOUN
ejpam-5953	193	22	in	in	ADP
ejpam-5953	193	23	grid	grid	NOUN
ejpam-5953	193	24	system	system	NOUN
ejpam-5953	193	25	design	design	NOUN
ejpam-5953	193	26	.	.	PUNCT
ejpam-5953	194	1	5	5	X
ejpam-5953	194	2	.	.	X
ejpam-5953	194	3	conclusion	conclusion	NOUN
ejpam-5953	194	4	and	and	CCONJ
ejpam-5953	194	5	future	future	ADJ
ejpam-5953	194	6	work	work	NOUN
ejpam-5953	194	7	this	this	DET
ejpam-5953	194	8	study	study	NOUN
ejpam-5953	194	9	presents	present	VERB
ejpam-5953	194	10	a	a	DET
ejpam-5953	194	11	machine	machine	NOUN
ejpam-5953	194	12	learning	learn	VERB
ejpam-5953	194	13	framework	framework	NOUN
ejpam-5953	194	14	for	for	ADP
ejpam-5953	194	15	enhancing	enhance	VERB
ejpam-5953	194	16	the	the	DET
ejpam-5953	194	17	stability	stability	NOUN
ejpam-5953	194	18	of	of	ADP
ejpam-5953	194	19	smart	smart	ADJ
ejpam-5953	194	20	grids	grid	NOUN
ejpam-5953	194	21	,	,	PUNCT
ejpam-5953	194	22	focusing	focus	VERB
ejpam-5953	194	23	on	on	ADP
ejpam-5953	194	24	scenarios	scenario	NOUN
ejpam-5953	194	25	involving	involve	VERB
ejpam-5953	194	26	renewable	renewable	ADJ
ejpam-5953	194	27	energy	energy	NOUN
ejpam-5953	194	28	integration	integration	NOUN
ejpam-5953	194	29	.	.	PUNCT
ejpam-5953	195	1	by	by	ADP
ejpam-5953	195	2	leveraging	leverage	VERB
ejpam-5953	195	3	a	a	DET
ejpam-5953	195	4	combination	combination	NOUN
ejpam-5953	195	5	of	of	ADP
ejpam-5953	195	6	supervised	supervised	ADJ
ejpam-5953	195	7	and	and	CCONJ
ejpam-5953	195	8	unsupervised	unsupervised	ADJ
ejpam-5953	195	9	learning	learning	NOUN
ejpam-5953	195	10	techniques	technique	NOUN
ejpam-5953	195	11	,	,	PUNCT
ejpam-5953	195	12	the	the	DET
ejpam-5953	195	13	proposed	propose	VERB
ejpam-5953	195	14	models	model	NOUN
ejpam-5953	195	15	effectively	effectively	ADV
ejpam-5953	195	16	predict	predict	VERB
ejpam-5953	195	17	grid	grid	NOUN
ejpam-5953	195	18	stability	stability	NOUN
ejpam-5953	195	19	,	,	PUNCT
ejpam-5953	195	20	optimize	optimize	NOUN
ejpam-5953	195	21	performance	performance	NOUN
ejpam-5953	195	22	,	,	PUNCT
ejpam-5953	195	23	and	and	CCONJ
ejpam-5953	195	24	analyze	analyze	VERB
ejpam-5953	195	25	the	the	DET
ejpam-5953	195	26	impact	impact	NOUN
ejpam-5953	195	27	of	of	ADP
ejpam-5953	195	28	key	key	ADJ
ejpam-5953	195	29	parameters	parameter	NOUN
ejpam-5953	195	30	such	such	ADJ
ejpam-5953	195	31	as	as	ADP
ejpam-5953	195	32	signal	signal	NOUN
ejpam-5953	195	33	-	-	PUNCT
ejpam-5953	195	34	to	to	ADP
ejpam-5953	195	35	-	-	PUNCT
ejpam-5953	195	36	noise	noise	NOUN
ejpam-5953	195	37	ratio	ratio	NOUN
ejpam-5953	195	38	(	(	PUNCT
ejpam-5953	195	39	snr	snr	PROPN
ejpam-5953	195	40	)	)	PUNCT
ejpam-5953	195	41	,	,	PUNCT
ejpam-5953	195	42	iteration	iteration	NOUN
ejpam-5953	195	43	count	count	NOUN
ejpam-5953	195	44	,	,	PUNCT
ejpam-5953	195	45	and	and	CCONJ
ejpam-5953	195	46	frame	frame	NOUN
ejpam-5953	195	47	size	size	NOUN
ejpam-5953	195	48	.	.	PUNCT
ejpam-5953	196	1	the	the	DET
ejpam-5953	196	2	results	result	NOUN
ejpam-5953	196	3	demonstrate	demonstrate	VERB
ejpam-5953	196	4	that	that	SCONJ
ejpam-5953	196	5	neural	neural	ADJ
ejpam-5953	196	6	networks	network	NOUN
ejpam-5953	196	7	and	and	CCONJ
ejpam-5953	196	8	random	random	ADJ
ejpam-5953	196	9	forests	forest	NOUN
ejpam-5953	196	10	outperform	outperform	VERB
ejpam-5953	196	11	traditional	traditional	ADJ
ejpam-5953	196	12	methods	method	NOUN
ejpam-5953	196	13	,	,	PUNCT
ejpam-5953	196	14	achieving	achieve	VERB
ejpam-5953	196	15	high	high	ADJ
ejpam-5953	196	16	accuracy	accuracy	NOUN
ejpam-5953	196	17	and	and	CCONJ
ejpam-5953	196	18	robustness	robustness	NOUN
ejpam-5953	196	19	under	under	ADP
ejpam-5953	196	20	varying	vary	VERB
ejpam-5953	196	21	conditions	condition	NOUN
ejpam-5953	196	22	.	.	PUNCT
ejpam-5953	197	1	while	while	SCONJ
ejpam-5953	197	2	the	the	DET
ejpam-5953	197	3	proposed	propose	VERB
ejpam-5953	197	4	framework	framework	NOUN
ejpam-5953	197	5	demonstrates	demonstrate	VERB
ejpam-5953	197	6	promising	promising	ADJ
ejpam-5953	197	7	results	result	NOUN
ejpam-5953	197	8	,	,	PUNCT
ejpam-5953	197	9	several	several	ADJ
ejpam-5953	197	10	directions	direction	NOUN
ejpam-5953	197	11	can	can	AUX
ejpam-5953	197	12	enhance	enhance	VERB
ejpam-5953	197	13	its	its	PRON
ejpam-5953	197	14	applicability	applicability	NOUN
ejpam-5953	197	15	and	and	CCONJ
ejpam-5953	197	16	impact	impact	NOUN
ejpam-5953	197	17	.	.	PUNCT
ejpam-5953	198	1	future	future	ADJ
ejpam-5953	198	2	studies	study	NOUN
ejpam-5953	198	3	should	should	AUX
ejpam-5953	198	4	focus	focus	VERB
ejpam-5953	198	5	on	on	ADP
ejpam-5953	198	6	validating	validate	VERB
ejpam-5953	198	7	the	the	DET
ejpam-5953	198	8	framework	framework	NOUN
ejpam-5953	198	9	using	use	VERB
ejpam-5953	198	10	real	real	ADJ
ejpam-5953	198	11	-	-	PUNCT
ejpam-5953	198	12	world	world	NOUN
ejpam-5953	198	13	datasets	dataset	NOUN
ejpam-5953	198	14	and	and	CCONJ
ejpam-5953	198	15	case	case	NOUN
ejpam-5953	198	16	studies	study	NOUN
ejpam-5953	198	17	to	to	PART
ejpam-5953	198	18	assess	assess	VERB
ejpam-5953	198	19	its	its	PRON
ejpam-5953	198	20	effectiveness	effectiveness	NOUN
ejpam-5953	198	21	in	in	ADP
ejpam-5953	198	22	practical	practical	ADJ
ejpam-5953	198	23	scenarios	scenario	NOUN
ejpam-5953	198	24	,	,	PUNCT
ejpam-5953	198	25	such	such	ADJ
ejpam-5953	198	26	as	as	ADP
ejpam-5953	198	27	urban	urban	ADJ
ejpam-5953	198	28	and	and	CCONJ
ejpam-5953	198	29	rural	rural	ADJ
ejpam-5953	198	30	grid	grid	NOUN
ejpam-5953	198	31	systems	system	NOUN
ejpam-5953	198	32	.	.	PUNCT
ejpam-5953	199	1	incorporating	incorporate	VERB
ejpam-5953	199	2	time	time	NOUN
ejpam-5953	199	3	-	-	PUNCT
ejpam-5953	199	4	series	series	NOUN
ejpam-5953	199	5	data	datum	NOUN
ejpam-5953	199	6	can	can	AUX
ejpam-5953	199	7	provide	provide	VERB
ejpam-5953	199	8	deeper	deep	ADJ
ejpam-5953	199	9	insights	insight	NOUN
ejpam-5953	199	10	into	into	ADP
ejpam-5953	199	11	dynamic	dynamic	ADJ
ejpam-5953	199	12	grid	grid	NOUN
ejpam-5953	199	13	behavior	behavior	NOUN
ejpam-5953	199	14	,	,	PUNCT
ejpam-5953	199	15	capturing	capture	VERB
ejpam-5953	199	16	fluctuations	fluctuation	NOUN
ejpam-5953	199	17	in	in	ADP
ejpam-5953	199	18	stability	stability	NOUN
ejpam-5953	199	19	over	over	ADP
ejpam-5953	199	20	time	time	NOUN
ejpam-5953	199	21	.	.	PUNCT
ejpam-5953	200	1	additionally	additionally	ADV
ejpam-5953	200	2	,	,	PUNCT
ejpam-5953	200	3	extending	extend	VERB
ejpam-5953	200	4	the	the	DET
ejpam-5953	200	5	framework	framework	NOUN
ejpam-5953	200	6	to	to	PART
ejpam-5953	200	7	include	include	VERB
ejpam-5953	200	8	complex	complex	ADJ
ejpam-5953	200	9	constraints	constraint	NOUN
ejpam-5953	200	10	such	such	ADJ
ejpam-5953	200	11	as	as	ADP
ejpam-5953	200	12	time	time	NOUN
ejpam-5953	200	13	windows	window	NOUN
ejpam-5953	200	14	,	,	PUNCT
ejpam-5953	200	15	resource	resource	NOUN
ejpam-5953	200	16	limitations	limitation	NOUN
ejpam-5953	200	17	,	,	PUNCT
ejpam-5953	200	18	and	and	CCONJ
ejpam-5953	200	19	renewable	renewable	ADJ
ejpam-5953	200	20	energy	energy	NOUN
ejpam-5953	200	21	forecasting	forecasting	NOUN
ejpam-5953	200	22	will	will	AUX
ejpam-5953	200	23	improve	improve	VERB
ejpam-5953	200	24	its	its	PRON
ejpam-5953	200	25	versatility	versatility	NOUN
ejpam-5953	200	26	in	in	ADP
ejpam-5953	200	27	addressing	address	VERB
ejpam-5953	200	28	real	real	ADJ
ejpam-5953	200	29	-	-	PUNCT
ejpam-5953	200	30	world	world	NOUN
ejpam-5953	200	31	challenges	challenge	NOUN
ejpam-5953	200	32	.	.	PUNCT
ejpam-5953	201	1	enhancing	enhance	VERB
ejpam-5953	201	2	scalability	scalability	NOUN
ejpam-5953	201	3	and	and	CCONJ
ejpam-5953	201	4	computational	computational	ADJ
ejpam-5953	201	5	efficiency	efficiency	NOUN
ejpam-5953	201	6	k.	k.	PROPN
ejpam-5953	201	7	danach	danach	PROPN
ejpam-5953	201	8	,	,	PUNCT
ejpam-5953	201	9	w.	w.	PROPN
ejpam-5953	201	10	h.	h.	PROPN
ejpam-5953	201	11	f.	f.	PROPN
ejpam-5953	201	12	aly	aly	PROPN
ejpam-5953	201	13	,	,	PUNCT
ejpam-5953	201	14	h.	h.	PROPN
ejpam-5953	201	15	kanj	kanj	PROPN
ejpam-5953	201	16	/	/	PUNCT
ejpam-5953	201	17	eur	eur	PROPN
ejpam-5953	201	18	.	.	PUNCT
ejpam-5953	202	1	j.	j.	PROPN
ejpam-5953	202	2	pure	pure	PROPN
ejpam-5953	202	3	appl	appl	PROPN
ejpam-5953	202	4	.	.	PROPN
ejpam-5953	202	5	math	math	PROPN
ejpam-5953	202	6	,	,	PUNCT
ejpam-5953	202	7	18	18	NUM
ejpam-5953	202	8	(	(	PUNCT
ejpam-5953	202	9	2	2	NUM
ejpam-5953	202	10	)	)	PUNCT
ejpam-5953	202	11	(	(	PUNCT
ejpam-5953	202	12	2025	2025	NUM
ejpam-5953	202	13	)	)	PUNCT
ejpam-5953	202	14	,	,	PUNCT
ejpam-5953	202	15	5953	5953	NUM
ejpam-5953	202	16	16	16	NUM
ejpam-5953	202	17	of	of	ADP
ejpam-5953	202	18	20	20	NUM
ejpam-5953	202	19	figure	figure	NOUN
ejpam-5953	202	20	11	11	NUM
ejpam-5953	202	21	:	:	PUNCT
ejpam-5953	202	22	impact	impact	NOUN
ejpam-5953	202	23	of	of	ADP
ejpam-5953	202	24	frame	frame	NOUN
ejpam-5953	202	25	size	size	NOUN
ejpam-5953	202	26	on	on	ADP
ejpam-5953	202	27	ber	ber	PROPN
ejpam-5953	202	28	.	.	PUNCT
ejpam-5953	203	1	this	this	DET
ejpam-5953	203	2	bar	bar	NOUN
ejpam-5953	203	3	chart	chart	NOUN
ejpam-5953	203	4	shows	show	VERB
ejpam-5953	203	5	the	the	DET
ejpam-5953	203	6	relationship	relationship	NOUN
ejpam-5953	203	7	between	between	ADP
ejpam-5953	203	8	frame	frame	NOUN
ejpam-5953	203	9	size	size	NOUN
ejpam-5953	203	10	and	and	CCONJ
ejpam-5953	203	11	bit	bit	NOUN
ejpam-5953	203	12	error	error	NOUN
ejpam-5953	203	13	rate	rate	NOUN
ejpam-5953	203	14	(	(	PUNCT
ejpam-5953	203	15	ber	ber	PROPN
ejpam-5953	203	16	)	)	PUNCT
ejpam-5953	203	17	.	.	PUNCT
ejpam-5953	204	1	larger	large	ADJ
ejpam-5953	204	2	frame	frame	NOUN
ejpam-5953	204	3	sizes	size	NOUN
ejpam-5953	204	4	significantly	significantly	ADV
ejpam-5953	204	5	reduce	reduce	VERB
ejpam-5953	204	6	ber	ber	PROPN
ejpam-5953	204	7	,	,	PUNCT
ejpam-5953	204	8	with	with	ADP
ejpam-5953	204	9	values	value	NOUN
ejpam-5953	204	10	decreasing	decrease	VERB
ejpam-5953	204	11	from	from	ADP
ejpam-5953	204	12	0.04	0.04	NUM
ejpam-5953	204	13	at	at	ADP
ejpam-5953	204	14	a	a	DET
ejpam-5953	204	15	frame	frame	NOUN
ejpam-5953	204	16	size	size	NOUN
ejpam-5953	204	17	of	of	ADP
ejpam-5953	204	18	40	40	NUM
ejpam-5953	204	19	to	to	PART
ejpam-5953	204	20	0.005	0.005	NUM
ejpam-5953	204	21	at	at	ADP
ejpam-5953	204	22	a	a	DET
ejpam-5953	204	23	frame	frame	NOUN
ejpam-5953	204	24	size	size	NOUN
ejpam-5953	204	25	of	of	ADP
ejpam-5953	204	26	320	320	NUM
ejpam-5953	204	27	.	.	PUNCT
ejpam-5953	205	1	this	this	PRON
ejpam-5953	205	2	demonstrates	demonstrate	VERB
ejpam-5953	205	3	the	the	DET
ejpam-5953	205	4	enhanced	enhance	VERB
ejpam-5953	205	5	error	error	NOUN
ejpam-5953	205	6	correction	correction	NOUN
ejpam-5953	205	7	capability	capability	NOUN
ejpam-5953	205	8	of	of	ADP
ejpam-5953	205	9	larger	large	ADJ
ejpam-5953	205	10	frames	frame	NOUN
ejpam-5953	205	11	,	,	PUNCT
ejpam-5953	205	12	though	though	SCONJ
ejpam-5953	205	13	at	at	ADP
ejpam-5953	205	14	the	the	DET
ejpam-5953	205	15	potential	potential	ADJ
ejpam-5953	205	16	expense	expense	NOUN
ejpam-5953	205	17	of	of	ADP
ejpam-5953	205	18	increased	increase	VERB
ejpam-5953	205	19	latency	latency	NOUN
ejpam-5953	205	20	.	.	PUNCT
ejpam-5953	206	1	is	be	AUX
ejpam-5953	206	2	another	another	DET
ejpam-5953	206	3	important	important	ADJ
ejpam-5953	206	4	area	area	NOUN
ejpam-5953	206	5	,	,	PUNCT
ejpam-5953	206	6	enabling	enable	VERB
ejpam-5953	206	7	the	the	DET
ejpam-5953	206	8	algorithm	algorithm	NOUN
ejpam-5953	206	9	to	to	PART
ejpam-5953	206	10	handle	handle	VERB
ejpam-5953	206	11	larger	large	ADJ
ejpam-5953	206	12	datasets	dataset	NOUN
ejpam-5953	206	13	and	and	CCONJ
ejpam-5953	206	14	more	more	ADV
ejpam-5953	206	15	intricate	intricate	ADJ
ejpam-5953	206	16	grid	grid	NOUN
ejpam-5953	206	17	configurations	configuration	NOUN
ejpam-5953	206	18	.	.	PUNCT
ejpam-5953	207	1	the	the	DET
ejpam-5953	207	2	integration	integration	NOUN
ejpam-5953	207	3	of	of	ADP
ejpam-5953	207	4	internet	internet	NOUN
ejpam-5953	207	5	of	of	ADP
ejpam-5953	207	6	things	thing	NOUN
ejpam-5953	207	7	(	(	PUNCT
ejpam-5953	207	8	iot	iot	NOUN
ejpam-5953	207	9	)	)	PUNCT
ejpam-5953	207	10	devices	device	NOUN
ejpam-5953	207	11	and	and	CCONJ
ejpam-5953	207	12	edge	edge	NOUN
ejpam-5953	207	13	computing	computing	NOUN
ejpam-5953	207	14	could	could	AUX
ejpam-5953	207	15	further	far	ADV
ejpam-5953	207	16	improve	improve	VERB
ejpam-5953	207	17	real	real	ADJ
ejpam-5953	207	18	-	-	PUNCT
ejpam-5953	207	19	time	time	NOUN
ejpam-5953	207	20	data	datum	NOUN
ejpam-5953	207	21	acquisition	acquisition	NOUN
ejpam-5953	207	22	and	and	CCONJ
ejpam-5953	207	23	processing	processing	NOUN
ejpam-5953	207	24	,	,	PUNCT
ejpam-5953	207	25	ensuring	ensure	VERB
ejpam-5953	207	26	greater	great	ADJ
ejpam-5953	207	27	responsiveness	responsiveness	NOUN
ejpam-5953	207	28	and	and	CCONJ
ejpam-5953	207	29	reliability	reliability	NOUN
ejpam-5953	207	30	.	.	PUNCT
ejpam-5953	208	1	finally	finally	ADV
ejpam-5953	208	2	,	,	PUNCT
ejpam-5953	208	3	exploring	explore	VERB
ejpam-5953	208	4	multi	multi	ADJ
ejpam-5953	208	5	-	-	ADJ
ejpam-5953	208	6	objective	objective	ADJ
ejpam-5953	208	7	optimization	optimization	NOUN
ejpam-5953	208	8	techniques	technique	NOUN
ejpam-5953	208	9	to	to	PART
ejpam-5953	208	10	balance	balance	VERB
ejpam-5953	208	11	trade	trade	NOUN
ejpam-5953	208	12	-	-	PUNCT
ejpam-5953	208	13	offs	off	NOUN
ejpam-5953	208	14	between	between	ADP
ejpam-5953	208	15	power	power	NOUN
ejpam-5953	208	16	efficiency	efficiency	NOUN
ejpam-5953	208	17	,	,	PUNCT
ejpam-5953	208	18	latency	latency	NOUN
ejpam-5953	208	19	,	,	PUNCT
ejpam-5953	208	20	and	and	CCONJ
ejpam-5953	208	21	error	error	NOUN
ejpam-5953	208	22	performance	performance	NOUN
ejpam-5953	208	23	would	would	AUX
ejpam-5953	208	24	lead	lead	VERB
ejpam-5953	208	25	to	to	ADP
ejpam-5953	208	26	more	more	ADV
ejpam-5953	208	27	robust	robust	ADJ
ejpam-5953	208	28	and	and	CCONJ
ejpam-5953	208	29	adaptable	adaptable	ADJ
ejpam-5953	208	30	solutions	solution	NOUN
ejpam-5953	208	31	.	.	PUNCT
ejpam-5953	209	1	these	these	DET
ejpam-5953	209	2	advancements	advancement	NOUN
ejpam-5953	209	3	will	will	AUX
ejpam-5953	209	4	ensure	ensure	VERB
ejpam-5953	209	5	that	that	SCONJ
ejpam-5953	209	6	the	the	DET
ejpam-5953	209	7	proposed	propose	VERB
ejpam-5953	209	8	framework	framework	NOUN
ejpam-5953	209	9	continues	continue	VERB
ejpam-5953	209	10	to	to	PART
ejpam-5953	209	11	evolve	evolve	VERB
ejpam-5953	209	12	to	to	PART
ejpam-5953	209	13	meet	meet	VERB
ejpam-5953	209	14	the	the	DET
ejpam-5953	209	15	demands	demand	NOUN
ejpam-5953	209	16	of	of	ADP
ejpam-5953	209	17	modern	modern	ADJ
ejpam-5953	209	18	smart	smart	ADJ
ejpam-5953	209	19	grid	grid	NOUN
ejpam-5953	209	20	systems	system	NOUN
ejpam-5953	209	21	.	.	PUNCT
ejpam-5953	210	1	finally	finally	ADV
ejpam-5953	210	2	,	,	PUNCT
ejpam-5953	210	3	future	future	ADJ
ejpam-5953	210	4	research	research	NOUN
ejpam-5953	210	5	should	should	AUX
ejpam-5953	210	6	focus	focus	VERB
ejpam-5953	210	7	on	on	ADP
ejpam-5953	210	8	integrating	integrate	VERB
ejpam-5953	210	9	iot	iot	NOUN
ejpam-5953	210	10	-	-	PUNCT
ejpam-5953	210	11	based	base	VERB
ejpam-5953	210	12	real	real	ADJ
ejpam-5953	210	13	-	-	PUNCT
ejpam-5953	210	14	time	time	NOUN
ejpam-5953	210	15	monitoring	monitoring	NOUN
ejpam-5953	210	16	,	,	PUNCT
ejpam-5953	210	17	developing	develop	VERB
ejpam-5953	210	18	federated	federated	ADJ
ejpam-5953	210	19	learning	learning	NOUN
ejpam-5953	210	20	models	model	NOUN
ejpam-5953	210	21	for	for	ADP
ejpam-5953	210	22	decentralized	decentralized	ADJ
ejpam-5953	210	23	grid	grid	NOUN
ejpam-5953	210	24	control	control	NOUN
ejpam-5953	210	25	,	,	PUNCT
ejpam-5953	210	26	and	and	CCONJ
ejpam-5953	210	27	exploring	explore	VERB
ejpam-5953	210	28	explainable	explainable	ADJ
ejpam-5953	210	29	ai	ai	NOUN
ejpam-5953	210	30	to	to	PART
ejpam-5953	210	31	enhance	enhance	VERB
ejpam-5953	210	32	trust	trust	NOUN
ejpam-5953	210	33	in	in	ADP
ejpam-5953	210	34	predictive	predictive	ADJ
ejpam-5953	210	35	stability	stability	NOUN
ejpam-5953	210	36	models	model	NOUN
ejpam-5953	210	37	.	.	PUNCT
ejpam-5953	211	1	references	reference	NOUN
ejpam-5953	211	2	[	[	X
ejpam-5953	211	3	1	1	NUM
ejpam-5953	211	4	]	]	PUNCT
ejpam-5953	211	5	nafees	nafees	PROPN
ejpam-5953	211	6	akhter	akhter	PROPN
ejpam-5953	211	7	farooqui	farooqui	PROPN
ejpam-5953	211	8	,	,	PUNCT
ejpam-5953	211	9	mohd	mohd	PROPN
ejpam-5953	211	10	haleem	haleem	PROPN
ejpam-5953	211	11	,	,	PUNCT
ejpam-5953	211	12	wasim	wasim	PROPN
ejpam-5953	211	13	khan	khan	PROPN
ejpam-5953	211	14	,	,	PUNCT
ejpam-5953	211	15	and	and	CCONJ
ejpam-5953	211	16	mohammad	mohammad	PROPN
ejpam-5953	211	17	ishrat	ishrat	PROPN
ejpam-5953	211	18	.	.	PUNCT
ejpam-5953	212	1	precision	precision	NOUN
ejpam-5953	212	2	agriculture	agriculture	NOUN
ejpam-5953	212	3	and	and	CCONJ
ejpam-5953	212	4	predictive	predictive	ADJ
ejpam-5953	212	5	analytics	analytic	NOUN
ejpam-5953	212	6	:	:	PUNCT
ejpam-5953	212	7	enhancing	enhance	VERB
ejpam-5953	212	8	agricultural	agricultural	ADJ
ejpam-5953	212	9	efficiency	efficiency	NOUN
ejpam-5953	212	10	and	and	CCONJ
ejpam-5953	212	11	yield	yield	NOUN
ejpam-5953	212	12	.	.	PUNCT
ejpam-5953	213	1	intelligent	intelligent	ADJ
ejpam-5953	213	2	techniques	technique	NOUN
ejpam-5953	213	3	for	for	ADP
ejpam-5953	213	4	predictive	predictive	ADJ
ejpam-5953	213	5	data	datum	NOUN
ejpam-5953	213	6	analytics	analytic	NOUN
ejpam-5953	213	7	,	,	PUNCT
ejpam-5953	213	8	pages	page	NOUN
ejpam-5953	213	9	171–188	171–188	NUM
ejpam-5953	213	10	,	,	PUNCT
ejpam-5953	213	11	2024	2024	NUM
ejpam-5953	213	12	.	.	PUNCT
ejpam-5953	214	1	[	[	X
ejpam-5953	214	2	2	2	X
ejpam-5953	214	3	]	]	PUNCT
ejpam-5953	214	4	nafees	nafees	PROPN
ejpam-5953	214	5	akhter	akhter	PROPN
ejpam-5953	214	6	farooqui	farooqui	PROPN
ejpam-5953	214	7	,	,	PUNCT
ejpam-5953	214	8	md	md	PROPN
ejpam-5953	214	9	shamsul	shamsul	PROPN
ejpam-5953	214	10	haque	haque	PROPN
ejpam-5953	214	11	ansari	ansari	PROPN
ejpam-5953	214	12	,	,	PUNCT
ejpam-5953	214	13	zulfikar	zulfikar	PROPN
ejpam-5953	214	14	ali	ali	PROPN
ejpam-5953	214	15	ansari	ansari	PROPN
ejpam-5953	214	16	,	,	PUNCT
ejpam-5953	214	17	and	and	CCONJ
ejpam-5953	214	18	ritika	ritika	PROPN
ejpam-5953	214	19	mehra	mehra	PROPN
ejpam-5953	214	20	.	.	PUNCT
ejpam-5953	215	1	technological	technological	ADJ
ejpam-5953	215	2	advancements	advancement	NOUN
ejpam-5953	215	3	in	in	ADP
ejpam-5953	215	4	waste	waste	NOUN
ejpam-5953	215	5	management	management	NOUN
ejpam-5953	215	6	.	.	PUNCT
ejpam-5953	216	1	in	in	ADP
ejpam-5953	216	2	municipal	municipal	ADJ
ejpam-5953	216	3	solid	solid	ADJ
ejpam-5953	216	4	waste	waste	NOUN
ejpam-5953	216	5	management	management	NOUN
ejpam-5953	216	6	and	and	CCONJ
ejpam-5953	216	7	recycling	recycling	NOUN
ejpam-5953	216	8	technologies	technology	NOUN
ejpam-5953	216	9	,	,	PUNCT
ejpam-5953	216	10	pages	page	NOUN
ejpam-5953	216	11	327–342	327–342	NUM
ejpam-5953	216	12	.	.	PUNCT
ejpam-5953	216	13	igi	igi	PROPN
ejpam-5953	216	14	global	global	PROPN
ejpam-5953	216	15	,	,	PUNCT
ejpam-5953	216	16	2024	2024	NUM
ejpam-5953	216	17	.	.	PUNCT
ejpam-5953	217	1	[	[	X
ejpam-5953	217	2	3	3	X
ejpam-5953	217	3	]	]	X
ejpam-5953	217	4	semaan	semaan	NOUN
ejpam-5953	217	5	amine	amine	PROPN
ejpam-5953	217	6	,	,	PUNCT
ejpam-5953	217	7	stéphane	stéphane	PROPN
ejpam-5953	217	8	caro	caro	NOUN
ejpam-5953	217	9	,	,	PUNCT
ejpam-5953	217	10	and	and	CCONJ
ejpam-5953	217	11	philippe	philippe	PROPN
ejpam-5953	217	12	wenger	wenger	PROPN
ejpam-5953	217	13	.	.	PUNCT
ejpam-5953	218	1	constraint	constraint	NOUN
ejpam-5953	218	2	and	and	CCONJ
ejpam-5953	218	3	singularity	singularity	NOUN
ejpam-5953	218	4	analysis	analysis	NOUN
ejpam-5953	218	5	of	of	ADP
ejpam-5953	218	6	the	the	DET
ejpam-5953	218	7	exechon	exechon	PROPN
ejpam-5953	218	8	.	.	PUNCT
ejpam-5953	219	1	applied	apply	VERB
ejpam-5953	219	2	mechanics	mechanic	NOUN
ejpam-5953	219	3	and	and	CCONJ
ejpam-5953	219	4	materials	material	NOUN
ejpam-5953	219	5	,	,	PUNCT
ejpam-5953	219	6	162:141–150	162:141–150	NUM
ejpam-5953	219	7	,	,	PUNCT
ejpam-5953	219	8	2012	2012	NUM
ejpam-5953	219	9	.	.	PUNCT
ejpam-5953	220	1	k.	k.	PROPN
ejpam-5953	220	2	danach	danach	PROPN
ejpam-5953	220	3	,	,	PUNCT
ejpam-5953	220	4	w.	w.	PROPN
ejpam-5953	220	5	h.	h.	PROPN
ejpam-5953	220	6	f.	f.	PROPN
ejpam-5953	220	7	aly	aly	PROPN
ejpam-5953	220	8	,	,	PUNCT
ejpam-5953	220	9	h.	h.	PROPN
ejpam-5953	220	10	kanj	kanj	PROPN
ejpam-5953	220	11	/	/	PUNCT
ejpam-5953	220	12	eur	eur	PROPN
ejpam-5953	220	13	.	.	PUNCT
ejpam-5953	221	1	j.	j.	PROPN
ejpam-5953	221	2	pure	pure	PROPN
ejpam-5953	221	3	appl	appl	PROPN
ejpam-5953	221	4	.	.	PROPN
ejpam-5953	221	5	math	math	PROPN
ejpam-5953	221	6	,	,	PUNCT
ejpam-5953	221	7	18	18	NUM
ejpam-5953	221	8	(	(	PUNCT
ejpam-5953	221	9	2	2	NUM
ejpam-5953	221	10	)	)	PUNCT
ejpam-5953	221	11	(	(	PUNCT
ejpam-5953	221	12	2025	2025	NUM
ejpam-5953	221	13	)	)	PUNCT
ejpam-5953	221	14	,	,	PUNCT
ejpam-5953	221	15	5953	5953	NUM
ejpam-5953	221	16	17	17	NUM
ejpam-5953	221	17	of	of	ADP
ejpam-5953	221	18	20	20	NUM
ejpam-5953	221	19	figure	figure	NOUN
ejpam-5953	221	20	12	12	NUM
ejpam-5953	221	21	:	:	PUNCT
ejpam-5953	221	22	model	model	NOUN
ejpam-5953	221	23	robustness	robustness	NOUN
ejpam-5953	221	24	analysis	analysis	NOUN
ejpam-5953	221	25	under	under	ADP
ejpam-5953	221	26	varying	vary	VERB
ejpam-5953	221	27	noise	noise	NOUN
ejpam-5953	221	28	levels	level	NOUN
ejpam-5953	221	29	.	.	PUNCT
ejpam-5953	222	1	[	[	X
ejpam-5953	222	2	4	4	NUM
ejpam-5953	222	3	]	]	X
ejpam-5953	222	4	semaan	semaan	NOUN
ejpam-5953	222	5	amine	amine	PROPN
ejpam-5953	222	6	,	,	PUNCT
ejpam-5953	222	7	latifah	latifah	PROPN
ejpam-5953	222	8	nurahmi	nurahmi	PROPN
ejpam-5953	222	9	,	,	PUNCT
ejpam-5953	222	10	philippe	philippe	PROPN
ejpam-5953	222	11	wenger	wenger	PROPN
ejpam-5953	222	12	,	,	PUNCT
ejpam-5953	222	13	and	and	CCONJ
ejpam-5953	222	14	stéphane	stéphane	PROPN
ejpam-5953	222	15	caro	caro	NOUN
ejpam-5953	222	16	.	.	PUNCT
ejpam-5953	223	1	conceptual	conceptual	ADJ
ejpam-5953	223	2	design	design	NOUN
ejpam-5953	223	3	of	of	ADP
ejpam-5953	223	4	schoenflies	schoenflie	NOUN
ejpam-5953	223	5	motion	motion	NOUN
ejpam-5953	223	6	generators	generator	NOUN
ejpam-5953	223	7	based	base	VERB
ejpam-5953	223	8	on	on	ADP
ejpam-5953	223	9	the	the	DET
ejpam-5953	223	10	wrench	wrench	NOUN
ejpam-5953	223	11	graph	graph	NOUN
ejpam-5953	223	12	.	.	PUNCT
ejpam-5953	224	1	in	in	ADP
ejpam-5953	224	2	international	international	ADJ
ejpam-5953	224	3	design	design	NOUN
ejpam-5953	224	4	engineering	engineering	NOUN
ejpam-5953	224	5	technical	technical	ADJ
ejpam-5953	224	6	conferences	conference	NOUN
ejpam-5953	224	7	and	and	CCONJ
ejpam-5953	224	8	computers	computer	NOUN
ejpam-5953	224	9	and	and	CCONJ
ejpam-5953	224	10	information	information	NOUN
ejpam-5953	224	11	in	in	ADP
ejpam-5953	224	12	engineering	engineering	NOUN
ejpam-5953	224	13	conference	conference	NOUN
ejpam-5953	224	14	,	,	PUNCT
ejpam-5953	224	15	volume	volume	NOUN
ejpam-5953	224	16	55935	55935	NUM
ejpam-5953	224	17	,	,	PUNCT
ejpam-5953	224	18	page	page	NOUN
ejpam-5953	224	19	v06at07a058	v06at07a058	NUM
ejpam-5953	224	20	.	.	PUNCT
ejpam-5953	225	1	american	american	ADJ
ejpam-5953	225	2	society	society	NOUN
ejpam-5953	225	3	of	of	ADP
ejpam-5953	225	4	mechanical	mechanical	ADJ
ejpam-5953	225	5	engineers	engineer	NOUN
ejpam-5953	225	6	,	,	PUNCT
ejpam-5953	225	7	2013	2013	NUM
ejpam-5953	225	8	.	.	PUNCT
ejpam-5953	226	1	[	[	X
ejpam-5953	226	2	5	5	NUM
ejpam-5953	226	3	]	]	PUNCT
ejpam-5953	226	4	a.	a.	NOUN
ejpam-5953	226	5	suresh	suresh	PROPN
ejpam-5953	226	6	,	,	PUNCT
ejpam-5953	226	7	g.	g.	PROPN
ejpam-5953	226	8	a.	a.	PROPN
ejpam-5953	226	9	shabeen	shabeen	PROPN
ejpam-5953	226	10	taj	taj	PROPN
ejpam-5953	226	11	,	,	PUNCT
ejpam-5953	226	12	mahesh	mahesh	PROPN
ejpam-5953	226	13	r.	r.	PROPN
ejpam-5953	226	14	shukla	shukla	PROPN
ejpam-5953	226	15	,	,	PUNCT
ejpam-5953	226	16	devchand	devchand	NOUN
ejpam-5953	226	17	chaudhari	chaudhari	PROPN
ejpam-5953	226	18	,	,	PUNCT
ejpam-5953	226	19	and	and	CCONJ
ejpam-5953	226	20	k.	k.	PROPN
ejpam-5953	226	21	malathi	malathi	PROPN
ejpam-5953	226	22	.	.	PUNCT
ejpam-5953	227	1	deep	deep	ADJ
ejpam-5953	227	2	learning	learning	NOUN
ejpam-5953	227	3	empowered	empower	VERB
ejpam-5953	227	4	nanotechnology	nanotechnology	NOUN
ejpam-5953	227	5	and	and	CCONJ
ejpam-5953	227	6	energy	energy	NOUN
ejpam-5953	227	7	storage	storage	NOUN
ejpam-5953	227	8	for	for	ADP
ejpam-5953	227	9	sustainable	sustainable	ADJ
ejpam-5953	227	10	environmental	environmental	ADJ
ejpam-5953	227	11	preservation	preservation	NOUN
ejpam-5953	227	12	.	.	PUNCT
ejpam-5953	228	1	in	in	ADP
ejpam-5953	228	2	introduction	introduction	NOUN
ejpam-5953	228	3	to	to	ADP
ejpam-5953	228	4	functional	functional	ADJ
ejpam-5953	228	5	nanomaterials	nanomaterial	NOUN
ejpam-5953	228	6	,	,	PUNCT
ejpam-5953	228	7	pages	page	NOUN
ejpam-5953	228	8	70–78	70–78	NUM
ejpam-5953	228	9	.	.	PUNCT
ejpam-5953	229	1	crc	crc	PROPN
ejpam-5953	229	2	press	press	PROPN
ejpam-5953	229	3	,	,	PUNCT
ejpam-5953	229	4	2025	2025	NUM
ejpam-5953	229	5	.	.	PUNCT
ejpam-5953	230	1	[	[	X
ejpam-5953	230	2	6	6	NUM
ejpam-5953	230	3	]	]	X
ejpam-5953	230	4	hassan	hassan	PROPN
ejpam-5953	230	5	kanj	kanj	PROPN
ejpam-5953	230	6	,	,	PUNCT
ejpam-5953	230	7	wael	wael	PROPN
ejpam-5953	230	8	hosny	hosny	PROPN
ejpam-5953	230	9	fouad	fouad	PROPN
ejpam-5953	230	10	aly	aly	PROPN
ejpam-5953	230	11	,	,	PUNCT
ejpam-5953	230	12	and	and	CCONJ
ejpam-5953	230	13	sawsan	sawsan	PROPN
ejpam-5953	230	14	kanj	kanj	PROPN
ejpam-5953	230	15	.	.	PUNCT
ejpam-5953	231	1	a	a	DET
ejpam-5953	231	2	novel	novel	ADJ
ejpam-5953	231	3	dynamic	dynamic	ADJ
ejpam-5953	231	4	approach	approach	NOUN
ejpam-5953	231	5	for	for	ADP
ejpam-5953	231	6	risk	risk	NOUN
ejpam-5953	231	7	analysis	analysis	NOUN
ejpam-5953	231	8	and	and	CCONJ
ejpam-5953	231	9	simulation	simulation	NOUN
ejpam-5953	231	10	using	use	VERB
ejpam-5953	231	11	multi	multi	ADJ
ejpam-5953	231	12	-	-	ADJ
ejpam-5953	231	13	agents	agent	NOUN
ejpam-5953	231	14	model	model	NOUN
ejpam-5953	231	15	.	.	PUNCT
ejpam-5953	232	1	applied	apply	VERB
ejpam-5953	232	2	sciences	science	NOUN
ejpam-5953	232	3	,	,	PUNCT
ejpam-5953	232	4	12(10):5062	12(10):5062	NUM
ejpam-5953	232	5	,	,	PUNCT
ejpam-5953	232	6	2022	2022	NUM
ejpam-5953	232	7	.	.	PUNCT
ejpam-5953	233	1	[	[	X
ejpam-5953	233	2	7	7	X
ejpam-5953	233	3	]	]	X
ejpam-5953	233	4	kassem	kassem	PROPN
ejpam-5953	233	5	danach	danach	PROPN
ejpam-5953	233	6	,	,	PUNCT
ejpam-5953	233	7	hassan	hassan	PROPN
ejpam-5953	233	8	harb	harb	PROPN
ejpam-5953	233	9	,	,	PUNCT
ejpam-5953	233	10	ameer	ameer	PROPN
ejpam-5953	233	11	sardar	sardar	PROPN
ejpam-5953	233	12	kwekha	kwekha	PROPN
ejpam-5953	233	13	rashid	rashid	PROPN
ejpam-5953	233	14	,	,	PUNCT
ejpam-5953	233	15	mutaz	mutaz	PROPN
ejpam-5953	233	16	a.	a.	PROPN
ejpam-5953	233	17	b.	b.	PROPN
ejpam-5953	233	18	altarawneh	altarawneh	PROPN
ejpam-5953	233	19	,	,	PUNCT
ejpam-5953	233	20	and	and	CCONJ
ejpam-5953	233	21	wael	wael	PROPN
ejpam-5953	233	22	hosny	hosny	PROPN
ejpam-5953	233	23	fouad	fouad	PROPN
ejpam-5953	233	24	aly	aly	PROPN
ejpam-5953	233	25	.	.	PUNCT
ejpam-5953	234	1	location	location	NOUN
ejpam-5953	234	2	planning	planning	NOUN
ejpam-5953	234	3	techniques	technique	NOUN
ejpam-5953	234	4	for	for	ADP
ejpam-5953	234	5	internet	internet	NOUN
ejpam-5953	234	6	provider	provider	NOUN
ejpam-5953	234	7	service	service	NOUN
ejpam-5953	234	8	unmanned	unmanned	ADJ
ejpam-5953	234	9	aerial	aerial	ADJ
ejpam-5953	234	10	vehicles	vehicle	NOUN
ejpam-5953	234	11	during	during	ADP
ejpam-5953	234	12	crisis	crisis	NOUN
ejpam-5953	234	13	.	.	PUNCT
ejpam-5953	235	1	results	result	NOUN
ejpam-5953	235	2	in	in	ADP
ejpam-5953	235	3	engineering	engineering	NOUN
ejpam-5953	235	4	,	,	PUNCT
ejpam-5953	235	5	25:103833	25:103833	NUM
ejpam-5953	235	6	,	,	PUNCT
ejpam-5953	235	7	2025	2025	NUM
ejpam-5953	235	8	.	.	PUNCT
ejpam-5953	236	1	[	[	X
ejpam-5953	236	2	8	8	NUM
ejpam-5953	236	3	]	]	X
ejpam-5953	236	4	samer	samer	PROPN
ejpam-5953	236	5	alabed	alabe	VERB
ejpam-5953	236	6	,	,	PUNCT
ejpam-5953	236	7	mohammad	mohammad	PROPN
ejpam-5953	236	8	al	al	PROPN
ejpam-5953	236	9	-	-	PUNCT
ejpam-5953	236	10	rabayah	rabayah	PROPN
ejpam-5953	236	11	,	,	PUNCT
ejpam-5953	236	12	and	and	CCONJ
ejpam-5953	236	13	wael	wael	PROPN
ejpam-5953	236	14	hosny	hosny	PROPN
ejpam-5953	236	15	fouad	fouad	PROPN
ejpam-5953	236	16	aly	aly	PROPN
ejpam-5953	236	17	.	.	PUNCT
ejpam-5953	237	1	a	a	DET
ejpam-5953	237	2	beamforming	beamforme	VERB
ejpam-5953	237	3	technique	technique	NOUN
ejpam-5953	237	4	using	use	VERB
ejpam-5953	237	5	rotman	rotman	PROPN
ejpam-5953	237	6	lens	lens	NOUN
ejpam-5953	237	7	antenna	antenna	NOUN
ejpam-5953	237	8	for	for	ADP
ejpam-5953	237	9	wireless	wireless	ADJ
ejpam-5953	237	10	relay	relay	NOUN
ejpam-5953	237	11	networks	network	NOUN
ejpam-5953	237	12	.	.	PUNCT
ejpam-5953	238	1	computers	computer	NOUN
ejpam-5953	238	2	,	,	PUNCT
ejpam-5953	238	3	materials	material	NOUN
ejpam-5953	238	4	and	and	CCONJ
ejpam-5953	238	5	continua	continuum	NOUN
ejpam-5953	238	6	,	,	PUNCT
ejpam-5953	238	7	73(3):5641–5653	73(3):5641–5653	NUM
ejpam-5953	238	8	,	,	PUNCT
ejpam-5953	238	9	2022	2022	NUM
ejpam-5953	238	10	.	.	PUNCT
ejpam-5953	239	1	[	[	X
ejpam-5953	239	2	9	9	NUM
ejpam-5953	239	3	]	]	X
ejpam-5953	239	4	mutaz	mutaz	PROPN
ejpam-5953	239	5	a.	a.	PROPN
ejpam-5953	239	6	b.	b.	PROPN
ejpam-5953	239	7	al	al	PROPN
ejpam-5953	239	8	-	-	PUNCT
ejpam-5953	239	9	tarawneh	tarawneh	PROPN
ejpam-5953	239	10	,	,	PUNCT
ejpam-5953	239	11	omar	omar	PROPN
ejpam-5953	239	12	al	al	PROPN
ejpam-5953	239	13	-	-	PUNCT
ejpam-5953	239	14	irr	irr	PROPN
ejpam-5953	239	15	,	,	PUNCT
ejpam-5953	239	16	khaled	khaled	PROPN
ejpam-5953	239	17	s.	s.	PROPN
ejpam-5953	239	18	al	al	PROPN
ejpam-5953	239	19	-	-	PUNCT
ejpam-5953	239	20	maaitah	maaitah	PROPN
ejpam-5953	239	21	,	,	PUNCT
ejpam-5953	239	22	hassan	hassan	PROPN
ejpam-5953	239	23	kanj	kanj	PROPN
ejpam-5953	239	24	,	,	PUNCT
ejpam-5953	239	25	and	and	CCONJ
ejpam-5953	239	26	wael	wael	PROPN
ejpam-5953	239	27	hosny	hosny	PROPN
ejpam-5953	239	28	fouad	fouad	PROPN
ejpam-5953	239	29	aly	aly	PROPN
ejpam-5953	239	30	.	.	PUNCT
ejpam-5953	240	1	enhancing	enhance	VERB
ejpam-5953	240	2	fake	fake	ADJ
ejpam-5953	240	3	news	news	NOUN
ejpam-5953	240	4	detection	detection	NOUN
ejpam-5953	240	5	with	with	ADP
ejpam-5953	240	6	word	word	NOUN
ejpam-5953	240	7	embedding	embed	VERB
ejpam-5953	240	8	:	:	PUNCT
ejpam-5953	240	9	a	a	DET
ejpam-5953	240	10	machine	machine	NOUN
ejpam-5953	240	11	learning	learning	NOUN
ejpam-5953	240	12	and	and	CCONJ
ejpam-5953	240	13	deep	deep	ADJ
ejpam-5953	240	14	learning	learning	NOUN
ejpam-5953	240	15	approach	approach	NOUN
ejpam-5953	240	16	.	.	PUNCT
ejpam-5953	241	1	computers	computer	NOUN
ejpam-5953	241	2	,	,	PUNCT
ejpam-5953	241	3	13(9):239	13(9):239	NUM
ejpam-5953	241	4	,	,	PUNCT
ejpam-5953	241	5	2024	2024	NUM
ejpam-5953	241	6	.	.	PUNCT
ejpam-5953	242	1	[	[	X
ejpam-5953	242	2	10	10	NUM
ejpam-5953	242	3	]	]	X
ejpam-5953	242	4	qusay	qusay	ADJ
ejpam-5953	242	5	hassan	hassan	PROPN
ejpam-5953	242	6	,	,	PUNCT
ejpam-5953	242	7	chou	chou	PROPN
ejpam-5953	242	8	-	-	PUNCT
ejpam-5953	242	9	yi	yi	PROPN
ejpam-5953	242	10	hsu	hsu	PROPN
ejpam-5953	242	11	,	,	PUNCT
ejpam-5953	242	12	kamilia	kamilia	PROPN
ejpam-5953	242	13	mounich	mounich	PROPN
ejpam-5953	242	14	,	,	PUNCT
ejpam-5953	242	15	sameer	sameer	PROPN
ejpam-5953	242	16	algburi	algburi	PROPN
ejpam-5953	242	17	,	,	PUNCT
ejpam-5953	242	18	marek	marek	PROPN
ejpam-5953	242	19	jaszczur	jaszczur	PROPN
ejpam-5953	242	20	,	,	PUNCT
ejpam-5953	242	21	ahmad	ahmad	PROPN
ejpam-5953	242	22	a.	a.	PROPN
ejpam-5953	242	23	telba	telba	PROPN
ejpam-5953	242	24	,	,	PUNCT
ejpam-5953	242	25	patrik	patrik	NOUN
ejpam-5953	242	26	viktor	viktor	PROPN
ejpam-5953	242	27	,	,	PUNCT
ejpam-5953	242	28	emad	emad	PROPN
ejpam-5953	242	29	mahrous	mahrous	ADJ
ejpam-5953	242	30	awwad	awwad	PROPN
ejpam-5953	242	31	,	,	PUNCT
ejpam-5953	242	32	muhammad	muhammad	PROPN
ejpam-5953	242	33	ahsan	ahsan	PROPN
ejpam-5953	242	34	,	,	PUNCT
ejpam-5953	242	35	bashar	bashar	PROPN
ejpam-5953	242	36	mahmood	mahmood	PROPN
ejpam-5953	242	37	ali	ali	PROPN
ejpam-5953	242	38	,	,	PUNCT
ejpam-5953	242	39	et	et	PROPN
ejpam-5953	242	40	al	al	PROPN
ejpam-5953	242	41	.	.	PUNCT
ejpam-5953	242	42	enhancing	enhance	VERB
ejpam-5953	242	43	smart	smart	ADJ
ejpam-5953	242	44	grid	grid	NOUN
ejpam-5953	242	45	integrated	integrate	VERB
ejpam-5953	242	46	renewable	renewable	ADJ
ejpam-5953	242	47	distributed	distribute	VERB
ejpam-5953	242	48	generation	generation	NOUN
ejpam-5953	242	49	capacities	capacity	NOUN
ejpam-5953	242	50	:	:	PUNCT
ejpam-5953	242	51	implications	implication	NOUN
ejpam-5953	242	52	for	for	ADP
ejpam-5953	242	53	sustainable	sustainable	ADJ
ejpam-5953	242	54	energy	energy	NOUN
ejpam-5953	242	55	transformation	transformation	NOUN
ejpam-5953	242	56	.	.	PUNCT
ejpam-5953	243	1	sustainable	sustainable	ADJ
ejpam-5953	243	2	energy	energy	NOUN
ejpam-5953	243	3	technologies	technology	NOUN
ejpam-5953	243	4	and	and	CCONJ
ejpam-5953	243	5	assessments	assessment	NOUN
ejpam-5953	243	6	,	,	PUNCT
ejpam-5953	243	7	66:103793	66:103793	NUM
ejpam-5953	243	8	,	,	PUNCT
ejpam-5953	243	9	2024	2024	NUM
ejpam-5953	243	10	.	.	PUNCT
ejpam-5953	244	1	[	[	X
ejpam-5953	244	2	11	11	NUM
ejpam-5953	244	3	]	]	X
ejpam-5953	244	4	zakwan	zakwan	PROPN
ejpam-5953	244	5	alarnaout	alarnaout	PROPN
ejpam-5953	244	6	,	,	PUNCT
ejpam-5953	244	7	nour	nour	PROPN
ejpam-5953	244	8	mostafa	mostafa	PROPN
ejpam-5953	244	9	,	,	PUNCT
ejpam-5953	244	10	samer	samer	PROPN
ejpam-5953	244	11	alabed	alabe	VERB
ejpam-5953	244	12	,	,	PUNCT
ejpam-5953	244	13	wael	wael	PROPN
ejpam-5953	244	14	hosny	hosny	PROPN
ejpam-5953	244	15	fouad	fouad	PROPN
ejpam-5953	244	16	aly	aly	PROPN
ejpam-5953	244	17	,	,	PUNCT
ejpam-5953	244	18	and	and	CCONJ
ejpam-5953	244	19	ahmed	ahmed	PROPN
ejpam-5953	244	20	shdefat	shdefat	PROPN
ejpam-5953	244	21	.	.	PUNCT
ejpam-5953	245	1	rapt	rapt	VERB
ejpam-5953	245	2	:	:	PUNCT
ejpam-5953	245	3	a	a	DET
ejpam-5953	245	4	robust	robust	ADJ
ejpam-5953	245	5	attack	attack	NOUN
ejpam-5953	245	6	path	path	NOUN
ejpam-5953	245	7	tracing	trace	VERB
ejpam-5953	245	8	algorithm	algorithm	NOUN
ejpam-5953	245	9	to	to	PART
ejpam-5953	245	10	mitigate	mitigate	VERB
ejpam-5953	245	11	synflood	synflood	NOUN
ejpam-5953	245	12	ddos	ddos	NOUN
ejpam-5953	245	13	cyberattacks	cyberattack	NOUN
ejpam-5953	245	14	.	.	PUNCT
ejpam-5953	246	1	sensors	sensor	NOUN
ejpam-5953	246	2	,	,	PUNCT
ejpam-5953	246	3	23(1):102	23(1):102	NUM
ejpam-5953	246	4	,	,	PUNCT
ejpam-5953	246	5	2022	2022	NUM
ejpam-5953	246	6	.	.	PUNCT
ejpam-5953	247	1	[	[	X
ejpam-5953	247	2	12	12	NUM
ejpam-5953	247	3	]	]	X
ejpam-5953	247	4	hassan	hassan	PROPN
ejpam-5953	247	5	kanj	kanj	PROPN
ejpam-5953	247	6	,	,	PUNCT
ejpam-5953	247	7	ajla	ajla	PROPN
ejpam-5953	247	8	kulaglic	kulaglic	PROPN
ejpam-5953	247	9	,	,	PUNCT
ejpam-5953	247	10	wael	wael	PROPN
ejpam-5953	247	11	hosny	hosny	PROPN
ejpam-5953	247	12	fouad	fouad	PROPN
ejpam-5953	247	13	aly	aly	PROPN
ejpam-5953	247	14	,	,	PUNCT
ejpam-5953	247	15	mutaz	mutaz	PROPN
ejpam-5953	247	16	a.	a.	PROPN
ejpam-5953	247	17	b.	b.	PROPN
ejpam-5953	247	18	al	al	PROPN
ejpam-5953	247	19	-	-	PUNCT
ejpam-5953	247	20	tarawneh	tarawneh	PROPN
ejpam-5953	247	21	,	,	PUNCT
ejpam-5953	247	22	k.	k.	PROPN
ejpam-5953	247	23	danach	danach	PROPN
ejpam-5953	247	24	,	,	PUNCT
ejpam-5953	247	25	w.	w.	PROPN
ejpam-5953	247	26	h.	h.	PROPN
ejpam-5953	247	27	f.	f.	PROPN
ejpam-5953	247	28	aly	aly	PROPN
ejpam-5953	247	29	,	,	PUNCT
ejpam-5953	247	30	h.	h.	PROPN
ejpam-5953	247	31	kanj	kanj	PROPN
ejpam-5953	247	32	/	/	PUNCT
ejpam-5953	247	33	eur	eur	PROPN
ejpam-5953	247	34	.	.	PUNCT
ejpam-5953	248	1	j.	j.	PROPN
ejpam-5953	248	2	pure	pure	PROPN
ejpam-5953	248	3	appl	appl	PROPN
ejpam-5953	248	4	.	.	PROPN
ejpam-5953	248	5	math	math	PROPN
ejpam-5953	248	6	,	,	PUNCT
ejpam-5953	248	7	18	18	NUM
ejpam-5953	248	8	(	(	PUNCT
ejpam-5953	248	9	2	2	NUM
ejpam-5953	248	10	)	)	PUNCT
ejpam-5953	248	11	(	(	PUNCT
ejpam-5953	248	12	2025	2025	NUM
ejpam-5953	248	13	)	)	PUNCT
ejpam-5953	248	14	,	,	PUNCT
ejpam-5953	248	15	5953	5953	NUM
ejpam-5953	248	16	18	18	NUM
ejpam-5953	248	17	of	of	ADP
ejpam-5953	248	18	20	20	NUM
ejpam-5953	248	19	khaled	khaled	PROPN
ejpam-5953	248	20	safi	safi	PROPN
ejpam-5953	248	21	,	,	PUNCT
ejpam-5953	248	22	sawsan	sawsan	PROPN
ejpam-5953	248	23	kanj	kanj	PROPN
ejpam-5953	248	24	,	,	PUNCT
ejpam-5953	248	25	and	and	CCONJ
ejpam-5953	248	26	jean	jean	PROPN
ejpam-5953	248	27	-	-	PUNCT
ejpam-5953	248	28	marie	marie	PROPN
ejpam-5953	248	29	flaus	flaus	PROPN
ejpam-5953	248	30	.	.	PUNCT
ejpam-5953	249	1	agent	agent	NOUN
ejpam-5953	249	2	-	-	PUNCT
ejpam-5953	249	3	based	base	VERB
ejpam-5953	249	4	risk	risk	NOUN
ejpam-5953	249	5	analysis	analysis	NOUN
ejpam-5953	249	6	model	model	NOUN
ejpam-5953	249	7	for	for	ADP
ejpam-5953	249	8	road	road	NOUN
ejpam-5953	249	9	transportation	transportation	NOUN
ejpam-5953	249	10	of	of	ADP
ejpam-5953	249	11	dangerous	dangerous	ADJ
ejpam-5953	249	12	goods	good	NOUN
ejpam-5953	249	13	.	.	PUNCT
ejpam-5953	250	1	results	result	NOUN
ejpam-5953	250	2	in	in	ADP
ejpam-5953	250	3	engineering	engineering	NOUN
ejpam-5953	250	4	,	,	PUNCT
ejpam-5953	250	5	25:103944	25:103944	X
ejpam-5953	250	6	,	,	PUNCT
ejpam-5953	250	7	2025	2025	NUM
ejpam-5953	250	8	.	.	PUNCT
ejpam-5953	251	1	[	[	X
ejpam-5953	251	2	13	13	NUM
ejpam-5953	251	3	]	]	PUNCT
ejpam-5953	251	4	wael	wael	PROPN
ejpam-5953	251	5	hosny	hosny	PROPN
ejpam-5953	251	6	fouad	fouad	PROPN
ejpam-5953	251	7	aly	aly	PROPN
ejpam-5953	251	8	,	,	PUNCT
ejpam-5953	251	9	hassan	hassan	PROPN
ejpam-5953	251	10	kanj	kanj	PROPN
ejpam-5953	251	11	,	,	PUNCT
ejpam-5953	251	12	samer	samer	PROPN
ejpam-5953	251	13	alabed	alabe	VERB
ejpam-5953	251	14	,	,	PUNCT
ejpam-5953	251	15	nour	nour	PROPN
ejpam-5953	251	16	mostafa	mostafa	PROPN
ejpam-5953	251	17	,	,	PUNCT
ejpam-5953	251	18	and	and	CCONJ
ejpam-5953	251	19	khaled	khaled	PROPN
ejpam-5953	251	20	safi	safi	PROPN
ejpam-5953	251	21	.	.	PUNCT
ejpam-5953	252	1	dynamic	dynamic	ADJ
ejpam-5953	252	2	feedback	feedback	NOUN
ejpam-5953	252	3	versus	versus	ADP
ejpam-5953	252	4	varna	varna	NOUN
ejpam-5953	252	5	-	-	PUNCT
ejpam-5953	252	6	based	base	VERB
ejpam-5953	252	7	techniques	technique	NOUN
ejpam-5953	252	8	for	for	ADP
ejpam-5953	252	9	sdn	sdn	NOUN
ejpam-5953	252	10	controller	controller	NOUN
ejpam-5953	252	11	placement	placement	NOUN
ejpam-5953	252	12	problems	problem	NOUN
ejpam-5953	252	13	.	.	PUNCT
ejpam-5953	253	1	electronics	electronic	NOUN
ejpam-5953	253	2	,	,	PUNCT
ejpam-5953	253	3	11(14):2273	11(14):2273	NUM
ejpam-5953	253	4	,	,	PUNCT
ejpam-5953	253	5	2022	2022	NUM
ejpam-5953	253	6	.	.	PUNCT
ejpam-5953	254	1	[	[	X
ejpam-5953	254	2	14	14	NUM
ejpam-5953	254	3	]	]	X
ejpam-5953	254	4	wael	wael	PROPN
ejpam-5953	254	5	a.	a.	NOUN
ejpam-5953	254	6	farag	farag	PROPN
ejpam-5953	254	7	and	and	CCONJ
ejpam-5953	254	8	wael	wael	PROPN
ejpam-5953	254	9	hosny	hosny	PROPN
ejpam-5953	254	10	fouad	fouad	PROPN
ejpam-5953	254	11	aly	aly	PROPN
ejpam-5953	254	12	.	.	PUNCT
ejpam-5953	255	1	ensemble	ensemble	ADJ
ejpam-5953	255	2	machine	machine	NOUN
ejpam-5953	255	3	learning	learning	NOUN
ejpam-5953	255	4	-	-	PUNCT
ejpam-5953	255	5	based	base	VERB
ejpam-5953	255	6	virtual	virtual	ADJ
ejpam-5953	255	7	multiphase	multiphase	NOUN
ejpam-5953	255	8	flow	flow	NOUN
ejpam-5953	255	9	metering	metering	NOUN
ejpam-5953	255	10	in	in	ADP
ejpam-5953	255	11	high	high	ADJ
ejpam-5953	255	12	gas	gas	NOUN
ejpam-5953	255	13	/	/	SYM
ejpam-5953	255	14	oil	oil	NOUN
ejpam-5953	255	15	ratio	ratio	NOUN
ejpam-5953	255	16	and	and	CCONJ
ejpam-5953	255	17	water	water	NOUN
ejpam-5953	255	18	-	-	PUNCT
ejpam-5953	255	19	cut	cut	VERB
ejpam-5953	255	20	reservoirs	reservoir	NOUN
ejpam-5953	255	21	.	.	PUNCT
ejpam-5953	256	1	flow	flow	NOUN
ejpam-5953	256	2	measurement	measurement	NOUN
ejpam-5953	256	3	and	and	CCONJ
ejpam-5953	256	4	instrumentation	instrumentation	NOUN
ejpam-5953	256	5	,	,	PUNCT
ejpam-5953	256	6	100:102737	100:102737	NUM
ejpam-5953	256	7	,	,	PUNCT
ejpam-5953	256	8	2024	2024	NUM
ejpam-5953	256	9	.	.	PUNCT
ejpam-5953	257	1	[	[	X
ejpam-5953	257	2	15	15	NUM
ejpam-5953	257	3	]	]	X
ejpam-5953	257	4	abdul	abdul	PROPN
ejpam-5953	257	5	azeem	azeem	PROPN
ejpam-5953	257	6	,	,	PUNCT
ejpam-5953	257	7	idris	idris	PROPN
ejpam-5953	257	8	ismail	ismail	PROPN
ejpam-5953	257	9	,	,	PUNCT
ejpam-5953	257	10	syed	syed	PROPN
ejpam-5953	257	11	sheeraz	sheeraz	VERB
ejpam-5953	257	12	mohani	mohani	PROPN
ejpam-5953	257	13	,	,	PUNCT
ejpam-5953	257	14	kamaluddeen	kamaluddeen	PROPN
ejpam-5953	257	15	usman	usman	PROPN
ejpam-5953	257	16	danyaro	danyaro	PROPN
ejpam-5953	257	17	,	,	PUNCT
ejpam-5953	257	18	umair	umair	NOUN
ejpam-5953	257	19	hussain	hussain	NOUN
ejpam-5953	257	20	,	,	PUNCT
ejpam-5953	257	21	shahroz	shahroz	ADJ
ejpam-5953	257	22	shabbir	shabbir	PROPN
ejpam-5953	257	23	,	,	PUNCT
ejpam-5953	257	24	and	and	CCONJ
ejpam-5953	257	25	rahimi	rahimi	PROPN
ejpam-5953	257	26	zaman	zaman	PROPN
ejpam-5953	257	27	bin	bin	PROPN
ejpam-5953	257	28	jusoh	jusoh	PROPN
ejpam-5953	257	29	.	.	PUNCT
ejpam-5953	258	1	mitigating	mitigate	VERB
ejpam-5953	258	2	concept	concept	NOUN
ejpam-5953	258	3	drift	drift	NOUN
ejpam-5953	258	4	challenges	challenge	NOUN
ejpam-5953	258	5	in	in	ADP
ejpam-5953	258	6	evolving	evolve	VERB
ejpam-5953	258	7	smart	smart	ADJ
ejpam-5953	258	8	grids	grid	NOUN
ejpam-5953	258	9	:	:	PUNCT
ejpam-5953	258	10	an	an	DET
ejpam-5953	258	11	adaptive	adaptive	ADJ
ejpam-5953	258	12	ensemble	ensemble	ADJ
ejpam-5953	258	13	lstm	lstm	NOUN
ejpam-5953	258	14	for	for	ADP
ejpam-5953	258	15	enhanced	enhanced	ADJ
ejpam-5953	258	16	load	load	NOUN
ejpam-5953	258	17	forecasting	forecasting	NOUN
ejpam-5953	258	18	.	.	PUNCT
ejpam-5953	259	1	energy	energy	NOUN
ejpam-5953	259	2	reports	report	NOUN
ejpam-5953	259	3	,	,	PUNCT
ejpam-5953	259	4	13:1369–1383	13:1369–1383	NUM
ejpam-5953	259	5	,	,	PUNCT
ejpam-5953	259	6	2025	2025	NUM
ejpam-5953	259	7	.	.	PUNCT
ejpam-5953	260	1	[	[	X
ejpam-5953	260	2	16	16	NUM
ejpam-5953	260	3	]	]	PUNCT
ejpam-5953	260	4	m.	m.	NOUN
ejpam-5953	260	5	ullah	ullah	PROPN
ejpam-5953	260	6	et	et	PROPN
ejpam-5953	260	7	al	al	PROPN
ejpam-5953	260	8	.	.	PROPN
ejpam-5953	260	9	predicting	predict	VERB
ejpam-5953	260	10	short	short	ADJ
ejpam-5953	260	11	-	-	PUNCT
ejpam-5953	260	12	term	term	NOUN
ejpam-5953	260	13	energy	energy	NOUN
ejpam-5953	260	14	demand	demand	NOUN
ejpam-5953	260	15	in	in	ADP
ejpam-5953	260	16	smart	smart	ADJ
ejpam-5953	260	17	grids	grid	NOUN
ejpam-5953	260	18	using	use	VERB
ejpam-5953	260	19	lstm	lstm	ADJ
ejpam-5953	260	20	networks	network	NOUN
ejpam-5953	260	21	.	.	PUNCT
ejpam-5953	261	1	arxiv	arxiv	PROPN
ejpam-5953	261	2	preprint	preprint	PROPN
ejpam-5953	261	3	,	,	PUNCT
ejpam-5953	261	4	2023	2023	NUM
ejpam-5953	261	5	.	.	PUNCT
ejpam-5953	262	1	[	[	X
ejpam-5953	262	2	17	17	NUM
ejpam-5953	262	3	]	]	X
ejpam-5953	262	4	mahmoud	mahmoud	PROPN
ejpam-5953	262	5	kiasari	kiasari	PROPN
ejpam-5953	262	6	,	,	PUNCT
ejpam-5953	262	7	mahdi	mahdi	PROPN
ejpam-5953	262	8	ghaffari	ghaffari	PROPN
ejpam-5953	262	9	,	,	PUNCT
ejpam-5953	262	10	and	and	CCONJ
ejpam-5953	262	11	hamed	hamed	PROPN
ejpam-5953	262	12	h.	h.	PROPN
ejpam-5953	262	13	aly	aly	PROPN
ejpam-5953	262	14	.	.	PUNCT
ejpam-5953	263	1	a	a	DET
ejpam-5953	263	2	comprehensive	comprehensive	ADJ
ejpam-5953	263	3	review	review	NOUN
ejpam-5953	263	4	of	of	ADP
ejpam-5953	263	5	the	the	DET
ejpam-5953	263	6	current	current	ADJ
ejpam-5953	263	7	status	status	NOUN
ejpam-5953	263	8	of	of	ADP
ejpam-5953	263	9	smart	smart	ADJ
ejpam-5953	263	10	grid	grid	NOUN
ejpam-5953	263	11	technologies	technology	NOUN
ejpam-5953	263	12	for	for	ADP
ejpam-5953	263	13	renewable	renewable	ADJ
ejpam-5953	263	14	energies	energy	NOUN
ejpam-5953	263	15	integration	integration	NOUN
ejpam-5953	263	16	and	and	CCONJ
ejpam-5953	263	17	future	future	ADJ
ejpam-5953	263	18	trends	trend	NOUN
ejpam-5953	263	19	:	:	PUNCT
ejpam-5953	263	20	the	the	DET
ejpam-5953	263	21	role	role	NOUN
ejpam-5953	263	22	of	of	ADP
ejpam-5953	263	23	machine	machine	NOUN
ejpam-5953	263	24	learning	learning	NOUN
ejpam-5953	263	25	and	and	CCONJ
ejpam-5953	263	26	energy	energy	NOUN
ejpam-5953	263	27	storage	storage	NOUN
ejpam-5953	263	28	systems	system	NOUN
ejpam-5953	263	29	.	.	PUNCT
ejpam-5953	264	1	energies	energy	NOUN
ejpam-5953	264	2	,	,	PUNCT
ejpam-5953	264	3	17(16):4128	17(16):4128	NUM
ejpam-5953	264	4	,	,	PUNCT
ejpam-5953	264	5	2024	2024	NUM
ejpam-5953	264	6	.	.	PUNCT
ejpam-5953	265	1	[	[	X
ejpam-5953	265	2	18	18	NUM
ejpam-5953	265	3	]	]	PUNCT
ejpam-5953	265	4	a.	a.	NOUN
ejpam-5953	265	5	ghasemi	ghasemi	PROPN
ejpam-5953	265	6	et	et	PROPN
ejpam-5953	265	7	al	al	PROPN
ejpam-5953	265	8	.	.	PROPN
ejpam-5953	265	9	reinforcement	reinforcement	NOUN
ejpam-5953	265	10	learning	learning	NOUN
ejpam-5953	265	11	framework	framework	NOUN
ejpam-5953	265	12	for	for	ADP
ejpam-5953	265	13	smart	smart	ADJ
ejpam-5953	265	14	grid	grid	NOUN
ejpam-5953	265	15	stabilization	stabilization	NOUN
ejpam-5953	265	16	.	.	PUNCT
ejpam-5953	266	1	arxiv	arxiv	PROPN
ejpam-5953	266	2	preprint	preprint	PROPN
ejpam-5953	266	3	,	,	PUNCT
ejpam-5953	266	4	2023	2023	NUM
ejpam-5953	266	5	.	.	PUNCT
ejpam-5953	267	1	[	[	X
ejpam-5953	267	2	19	19	NUM
ejpam-5953	267	3	]	]	X
ejpam-5953	267	4	xin	xin	PROPN
ejpam-5953	267	5	wen	wen	PROPN
ejpam-5953	267	6	,	,	PUNCT
ejpam-5953	267	7	qi	qi	PROPN
ejpam-5953	267	8	shen	shen	PROPN
ejpam-5953	267	9	,	,	PUNCT
ejpam-5953	267	10	wenxuan	wenxuan	PROPN
ejpam-5953	267	11	zheng	zheng	PROPN
ejpam-5953	267	12	,	,	PUNCT
ejpam-5953	267	13	and	and	CCONJ
ejpam-5953	267	14	haodong	haodong	PROPN
ejpam-5953	267	15	zhang	zhang	PROPN
ejpam-5953	267	16	.	.	PUNCT
ejpam-5953	267	17	ai	ai	PROPN
ejpam-5953	267	18	-	-	PUNCT
ejpam-5953	267	19	driven	drive	VERB
ejpam-5953	267	20	solar	solar	ADJ
ejpam-5953	267	21	energy	energy	NOUN
ejpam-5953	267	22	generation	generation	NOUN
ejpam-5953	267	23	and	and	CCONJ
ejpam-5953	267	24	smart	smart	ADJ
ejpam-5953	267	25	grid	grid	NOUN
ejpam-5953	267	26	integration	integration	NOUN
ejpam-5953	267	27	:	:	PUNCT
ejpam-5953	267	28	a	a	DET
ejpam-5953	267	29	holistic	holistic	ADJ
ejpam-5953	267	30	approach	approach	NOUN
ejpam-5953	267	31	to	to	ADP
ejpam-5953	267	32	enhancing	enhance	VERB
ejpam-5953	267	33	renewable	renewable	ADJ
ejpam-5953	267	34	energy	energy	NOUN
ejpam-5953	267	35	efficiency	efficiency	NOUN
ejpam-5953	267	36	.	.	PUNCT
ejpam-5953	268	1	integrated	integrate	VERB
ejpam-5953	268	2	journal	journal	NOUN
ejpam-5953	268	3	of	of	ADP
ejpam-5953	268	4	science	science	NOUN
ejpam-5953	268	5	and	and	CCONJ
ejpam-5953	268	6	technology	technology	NOUN
ejpam-5953	268	7	,	,	PUNCT
ejpam-5953	268	8	1(5):1–11	1(5):1–11	NUM
ejpam-5953	268	9	,	,	PUNCT
ejpam-5953	268	10	2024	2024	NUM
ejpam-5953	268	11	.	.	PUNCT
ejpam-5953	269	1	[	[	X
ejpam-5953	269	2	20	20	NUM
ejpam-5953	269	3	]	]	X
ejpam-5953	269	4	ghani	ghani	PROPN
ejpam-5953	269	5	ur	ur	PROPN
ejpam-5953	269	6	rehman	rehman	PROPN
ejpam-5953	269	7	,	,	PUNCT
ejpam-5953	269	8	muhammad	muhammad	PROPN
ejpam-5953	269	9	zubair	zubair	PROPN
ejpam-5953	269	10	,	,	PUNCT
ejpam-5953	269	11	wael	wael	PROPN
ejpam-5953	269	12	hosny	hosny	PROPN
ejpam-5953	269	13	fouad	fouad	PROPN
ejpam-5953	269	14	aly	aly	PROPN
ejpam-5953	269	15	,	,	PUNCT
ejpam-5953	269	16	haleem	haleem	PROPN
ejpam-5953	269	17	farman	farman	PROPN
ejpam-5953	269	18	,	,	PUNCT
ejpam-5953	269	19	zafar	zafar	PROPN
ejpam-5953	269	20	mahmood	mahmood	PROPN
ejpam-5953	269	21	,	,	PUNCT
ejpam-5953	269	22	julian	julian	PROPN
ejpam-5953	269	23	hoxha	hoxha	PROPN
ejpam-5953	269	24	,	,	PUNCT
ejpam-5953	269	25	and	and	CCONJ
ejpam-5953	269	26	naveed	naveed	PROPN
ejpam-5953	269	27	anwer	anwer	NOUN
ejpam-5953	269	28	butt	butt	PROPN
ejpam-5953	269	29	.	.	PUNCT
ejpam-5953	270	1	performance	performance	NOUN
ejpam-5953	270	2	evaluation	evaluation	NOUN
ejpam-5953	270	3	and	and	CCONJ
ejpam-5953	270	4	comparison	comparison	NOUN
ejpam-5953	270	5	of	of	ADP
ejpam-5953	270	6	cooperative	cooperative	ADJ
ejpam-5953	270	7	frameworks	framework	NOUN
ejpam-5953	270	8	for	for	ADP
ejpam-5953	270	9	iot	iot	NOUN
ejpam-5953	270	10	-	-	PUNCT
ejpam-5953	270	11	based	base	VERB
ejpam-5953	270	12	vdtn	vdtn	NOUN
ejpam-5953	270	13	.	.	PUNCT
ejpam-5953	271	1	sustainability	sustainability	NOUN
ejpam-5953	271	2	,	,	PUNCT
ejpam-5953	271	3	15(6):5454	15(6):5454	NUM
ejpam-5953	271	4	,	,	PUNCT
ejpam-5953	271	5	2023	2023	NUM
ejpam-5953	271	6	.	.	PUNCT
ejpam-5953	272	1	[	[	X
ejpam-5953	272	2	21	21	NUM
ejpam-5953	272	3	]	]	PUNCT
ejpam-5953	272	4	wael	wael	PROPN
ejpam-5953	272	5	hosny	hosny	PROPN
ejpam-5953	272	6	fouad	fouad	PROPN
ejpam-5953	272	7	aly	aly	PROPN
ejpam-5953	272	8	,	,	PUNCT
ejpam-5953	272	9	hassan	hassan	PROPN
ejpam-5953	272	10	kanj	kanj	PROPN
ejpam-5953	272	11	,	,	PUNCT
ejpam-5953	272	12	nour	nour	PROPN
ejpam-5953	272	13	mostafa	mostafa	PROPN
ejpam-5953	272	14	,	,	PUNCT
ejpam-5953	272	15	and	and	CCONJ
ejpam-5953	272	16	samer	samer	PROPN
ejpam-5953	272	17	alabed	alabe	VERB
ejpam-5953	272	18	.	.	PUNCT
ejpam-5953	273	1	towards	towards	ADP
ejpam-5953	273	2	securing	secure	VERB
ejpam-5953	273	3	openflow	openflow	ADJ
ejpam-5953	273	4	controllers	controller	NOUN
ejpam-5953	273	5	for	for	ADP
ejpam-5953	273	6	sdns	sdns	ADJ
ejpam-5953	273	7	using	use	VERB
ejpam-5953	273	8	arma	arma	PROPN
ejpam-5953	273	9	models	model	NOUN
ejpam-5953	273	10	.	.	PUNCT
ejpam-5953	274	1	international	international	ADJ
ejpam-5953	274	2	journal	journal	NOUN
ejpam-5953	274	3	of	of	ADP
ejpam-5953	274	4	applied	apply	VERB
ejpam-5953	274	5	mathematics	mathematic	NOUN
ejpam-5953	274	6	,	,	PUNCT
ejpam-5953	274	7	computational	computational	ADJ
ejpam-5953	274	8	science	science	NOUN
ejpam-5953	274	9	and	and	CCONJ
ejpam-5953	274	10	systems	system	NOUN
ejpam-5953	274	11	engineering	engineering	NOUN
ejpam-5953	274	12	,	,	PUNCT
ejpam-5953	274	13	4:21–29	4:21–29	NOUN
ejpam-5953	274	14	,	,	PUNCT
ejpam-5953	274	15	2022	2022	NUM
ejpam-5953	274	16	.	.	PUNCT
ejpam-5953	275	1	[	[	X
ejpam-5953	275	2	22	22	NUM
ejpam-5953	275	3	]	]	X
ejpam-5953	275	4	y.	y.	PROPN
ejpam-5953	275	5	xia	xia	PROPN
ejpam-5953	275	6	et	et	PROPN
ejpam-5953	275	7	al	al	PROPN
ejpam-5953	275	8	.	.	PROPN
ejpam-5953	275	9	machine	machine	NOUN
ejpam-5953	275	10	learning	learning	NOUN
ejpam-5953	275	11	-	-	PUNCT
ejpam-5953	275	12	based	base	VERB
ejpam-5953	275	13	feedback	feedback	NOUN
ejpam-5953	275	14	control	control	NOUN
ejpam-5953	275	15	for	for	ADP
ejpam-5953	275	16	microgrid	microgrid	ADJ
ejpam-5953	275	17	stabilization	stabilization	NOUN
ejpam-5953	275	18	.	.	PUNCT
ejpam-5953	276	1	arxiv	arxiv	PROPN
ejpam-5953	276	2	preprint	preprint	NOUN
ejpam-5953	276	3	,	,	PUNCT
ejpam-5953	276	4	2022	2022	NUM
ejpam-5953	276	5	.	.	PUNCT
ejpam-5953	277	1	[	[	X
ejpam-5953	277	2	23	23	NUM
ejpam-5953	277	3	]	]	X
ejpam-5953	277	4	tanveer	tanveer	PROPN
ejpam-5953	277	5	ahmad	ahmad	PROPN
ejpam-5953	277	6	,	,	PUNCT
ejpam-5953	277	7	rafal	rafal	PROPN
ejpam-5953	277	8	madonski	madonski	PROPN
ejpam-5953	277	9	,	,	PUNCT
ejpam-5953	277	10	dongdong	dongdong	PROPN
ejpam-5953	277	11	zhang	zhang	PROPN
ejpam-5953	277	12	,	,	PUNCT
ejpam-5953	277	13	chao	chao	PROPN
ejpam-5953	277	14	huang	huang	PROPN
ejpam-5953	277	15	,	,	PUNCT
ejpam-5953	277	16	and	and	CCONJ
ejpam-5953	277	17	asad	asad	PROPN
ejpam-5953	277	18	mujeeb	mujeeb	PROPN
ejpam-5953	277	19	.	.	PUNCT
ejpam-5953	278	1	data	data	NOUN
ejpam-5953	278	2	-	-	PUNCT
ejpam-5953	278	3	driven	drive	VERB
ejpam-5953	278	4	probabilistic	probabilistic	ADJ
ejpam-5953	278	5	machine	machine	NOUN
ejpam-5953	278	6	learning	learning	NOUN
ejpam-5953	278	7	in	in	ADP
ejpam-5953	278	8	sustainable	sustainable	ADJ
ejpam-5953	278	9	smart	smart	ADJ
ejpam-5953	278	10	energy	energy	NOUN
ejpam-5953	278	11	/	/	SYM
ejpam-5953	278	12	smart	smart	ADJ
ejpam-5953	278	13	energy	energy	NOUN
ejpam-5953	278	14	systems	system	NOUN
ejpam-5953	278	15	:	:	PUNCT
ejpam-5953	278	16	key	key	ADJ
ejpam-5953	278	17	developments	development	NOUN
ejpam-5953	278	18	,	,	PUNCT
ejpam-5953	278	19	challenges	challenge	NOUN
ejpam-5953	278	20	,	,	PUNCT
ejpam-5953	278	21	and	and	CCONJ
ejpam-5953	278	22	future	future	ADJ
ejpam-5953	278	23	research	research	NOUN
ejpam-5953	278	24	opportunities	opportunity	NOUN
ejpam-5953	278	25	in	in	ADP
ejpam-5953	278	26	the	the	DET
ejpam-5953	278	27	context	context	NOUN
ejpam-5953	278	28	of	of	ADP
ejpam-5953	278	29	smart	smart	ADJ
ejpam-5953	278	30	grid	grid	NOUN
ejpam-5953	278	31	paradigm	paradigm	NOUN
ejpam-5953	278	32	.	.	PUNCT
ejpam-5953	279	1	renewable	renewable	ADJ
ejpam-5953	279	2	and	and	CCONJ
ejpam-5953	279	3	sustainable	sustainable	ADJ
ejpam-5953	279	4	energy	energy	NOUN
ejpam-5953	279	5	reviews	review	NOUN
ejpam-5953	279	6	,	,	PUNCT
ejpam-5953	279	7	160:112128	160:112128	NOUN
ejpam-5953	279	8	,	,	PUNCT
ejpam-5953	279	9	2022	2022	NUM
ejpam-5953	279	10	.	.	PUNCT
ejpam-5953	280	1	[	[	X
ejpam-5953	280	2	24	24	NUM
ejpam-5953	280	3	]	]	X
ejpam-5953	280	4	t.	t.	PROPN
ejpam-5953	280	5	stiasny	stiasny	PROPN
ejpam-5953	280	6	et	et	PROPN
ejpam-5953	280	7	al	al	PROPN
ejpam-5953	280	8	.	.	PROPN
ejpam-5953	281	1	trustworthy	trustworthy	ADJ
ejpam-5953	281	2	machine	machine	NOUN
ejpam-5953	281	3	learning	learn	VERB
ejpam-5953	281	4	in	in	ADP
ejpam-5953	281	5	power	power	NOUN
ejpam-5953	281	6	systems	system	NOUN
ejpam-5953	281	7	:	:	PUNCT
ejpam-5953	281	8	ensuring	ensure	VERB
ejpam-5953	281	9	grid	grid	NOUN
ejpam-5953	281	10	stability	stability	NOUN
ejpam-5953	281	11	.	.	PUNCT
ejpam-5953	282	1	arxiv	arxiv	PROPN
ejpam-5953	282	2	preprint	preprint	NOUN
ejpam-5953	282	3	,	,	PUNCT
ejpam-5953	282	4	2022	2022	NUM
ejpam-5953	282	5	.	.	PUNCT
ejpam-5953	283	1	[	[	X
ejpam-5953	283	2	25	25	NUM
ejpam-5953	283	3	]	]	X
ejpam-5953	283	4	noha	noha	PROPN
ejpam-5953	283	5	mostafa	mostafa	PROPN
ejpam-5953	283	6	,	,	PUNCT
ejpam-5953	283	7	haitham	haitham	PROPN
ejpam-5953	283	8	saad	saad	PROPN
ejpam-5953	283	9	mohamed	mohamed	PROPN
ejpam-5953	283	10	ramadan	ramadan	PROPN
ejpam-5953	283	11	,	,	PUNCT
ejpam-5953	283	12	and	and	CCONJ
ejpam-5953	283	13	omar	omar	PROPN
ejpam-5953	283	14	elfarouk	elfarouk	PROPN
ejpam-5953	283	15	.	.	PUNCT
ejpam-5953	284	1	renewable	renewable	ADJ
ejpam-5953	284	2	energy	energy	NOUN
ejpam-5953	284	3	management	management	NOUN
ejpam-5953	284	4	in	in	ADP
ejpam-5953	284	5	smart	smart	ADJ
ejpam-5953	284	6	grids	grid	NOUN
ejpam-5953	284	7	by	by	ADP
ejpam-5953	284	8	using	use	VERB
ejpam-5953	284	9	big	big	ADJ
ejpam-5953	284	10	data	datum	NOUN
ejpam-5953	284	11	analytics	analytic	NOUN
ejpam-5953	284	12	and	and	CCONJ
ejpam-5953	284	13	machine	machine	NOUN
ejpam-5953	284	14	learning	learning	NOUN
ejpam-5953	284	15	.	.	PUNCT
ejpam-5953	285	1	machine	machine	NOUN
ejpam-5953	285	2	learning	learn	VERB
ejpam-5953	285	3	with	with	ADP
ejpam-5953	285	4	applications	application	NOUN
ejpam-5953	285	5	,	,	PUNCT
ejpam-5953	285	6	9:100363	9:100363	NUM
ejpam-5953	285	7	,	,	PUNCT
ejpam-5953	285	8	2022	2022	NUM
ejpam-5953	285	9	.	.	PUNCT
ejpam-5953	286	1	k.	k.	PROPN
ejpam-5953	286	2	danach	danach	PROPN
ejpam-5953	286	3	,	,	PUNCT
ejpam-5953	286	4	w.	w.	PROPN
ejpam-5953	286	5	h.	h.	PROPN
ejpam-5953	286	6	f.	f.	PROPN
ejpam-5953	286	7	aly	aly	PROPN
ejpam-5953	286	8	,	,	PUNCT
ejpam-5953	286	9	h.	h.	PROPN
ejpam-5953	286	10	kanj	kanj	PROPN
ejpam-5953	286	11	/	/	PUNCT
ejpam-5953	286	12	eur	eur	PROPN
ejpam-5953	286	13	.	.	PUNCT
ejpam-5953	287	1	j.	j.	PROPN
ejpam-5953	287	2	pure	pure	PROPN
ejpam-5953	287	3	appl	appl	PROPN
ejpam-5953	287	4	.	.	PROPN
ejpam-5953	287	5	math	math	PROPN
ejpam-5953	287	6	,	,	PUNCT
ejpam-5953	287	7	18	18	NUM
ejpam-5953	287	8	(	(	PUNCT
ejpam-5953	287	9	2	2	NUM
ejpam-5953	287	10	)	)	PUNCT
ejpam-5953	287	11	(	(	PUNCT
ejpam-5953	287	12	2025	2025	NUM
ejpam-5953	287	13	)	)	PUNCT
ejpam-5953	287	14	,	,	PUNCT
ejpam-5953	287	15	5953	5953	NUM
ejpam-5953	287	16	19	19	NUM
ejpam-5953	287	17	of	of	ADP
ejpam-5953	287	18	20	20	NUM
ejpam-5953	287	19	[	[	SYM
ejpam-5953	287	20	26	26	NUM
ejpam-5953	287	21	]	]	PUNCT
ejpam-5953	287	22	mingfu	mingfu	PROPN
ejpam-5953	287	23	xiong	xiong	PROPN
ejpam-5953	287	24	,	,	PUNCT
ejpam-5953	287	25	xinxin	xinxin	PROPN
ejpam-5953	287	26	yang	yang	PROPN
ejpam-5953	287	27	,	,	PUNCT
ejpam-5953	287	28	hanmei	hanmei	PROPN
ejpam-5953	287	29	chen	chen	PROPN
ejpam-5953	287	30	,	,	PUNCT
ejpam-5953	287	31	wael	wael	PROPN
ejpam-5953	287	32	hosny	hosny	PROPN
ejpam-5953	287	33	fouad	fouad	PROPN
ejpam-5953	287	34	aly	aly	PROPN
ejpam-5953	287	35	,	,	PUNCT
ejpam-5953	287	36	abdullah	abdullah	PROPN
ejpam-5953	287	37	altameem	altameem	PROPN
ejpam-5953	287	38	,	,	PUNCT
ejpam-5953	287	39	abdul	abdul	PROPN
ejpam-5953	287	40	khader	khader	PROPN
ejpam-5953	287	41	jilani	jilani	PROPN
ejpam-5953	287	42	saudagar	saudagar	PROPN
ejpam-5953	287	43	,	,	PUNCT
ejpam-5953	287	44	shahid	shahid	PROPN
ejpam-5953	287	45	mumtaz	mumtaz	PROPN
ejpam-5953	287	46	,	,	PUNCT
ejpam-5953	287	47	and	and	CCONJ
ejpam-5953	287	48	khan	khan	PROPN
ejpam-5953	287	49	muhammad	muhammad	PROPN
ejpam-5953	287	50	.	.	PUNCT
ejpam-5953	288	1	cloth	cloth	NOUN
ejpam-5953	288	2	-	-	PUNCT
ejpam-5953	288	3	changing	change	VERB
ejpam-5953	288	4	person	person	NOUN
ejpam-5953	288	5	re	re	NOUN
ejpam-5953	288	6	-	-	NOUN
ejpam-5953	288	7	identification	identification	NOUN
ejpam-5953	288	8	with	with	ADP
ejpam-5953	288	9	invariant	invariant	ADJ
ejpam-5953	288	10	feature	feature	NOUN
ejpam-5953	288	11	parsing	parsing	NOUN
ejpam-5953	288	12	for	for	ADP
ejpam-5953	288	13	uavs	uavs	NOUN
ejpam-5953	288	14	applications	application	NOUN
ejpam-5953	288	15	.	.	PUNCT
ejpam-5953	289	1	ieee	ieee	NOUN
ejpam-5953	289	2	transactions	transaction	NOUN
ejpam-5953	289	3	on	on	ADP
ejpam-5953	289	4	vehicular	vehicular	ADJ
ejpam-5953	289	5	technology	technology	NOUN
ejpam-5953	289	6	,	,	PUNCT
ejpam-5953	289	7	2024	2024	NUM
ejpam-5953	289	8	.	.	PUNCT
ejpam-5953	290	1	[	[	X
ejpam-5953	290	2	27	27	NUM
ejpam-5953	290	3	]	]	PUNCT
ejpam-5953	290	4	muhammad	muhammad	PROPN
ejpam-5953	290	5	khalid	khalid	PROPN
ejpam-5953	290	6	.	.	PUNCT
ejpam-5953	290	7	smart	smart	ADJ
ejpam-5953	290	8	grids	grid	NOUN
ejpam-5953	290	9	and	and	CCONJ
ejpam-5953	290	10	renewable	renewable	ADJ
ejpam-5953	290	11	energy	energy	NOUN
ejpam-5953	290	12	systems	system	NOUN
ejpam-5953	290	13	:	:	PUNCT
ejpam-5953	290	14	perspectives	perspective	NOUN
ejpam-5953	290	15	and	and	CCONJ
ejpam-5953	290	16	grid	grid	NOUN
ejpam-5953	290	17	integration	integration	NOUN
ejpam-5953	290	18	challenges	challenge	NOUN
ejpam-5953	290	19	.	.	PUNCT
ejpam-5953	291	1	energy	energy	NOUN
ejpam-5953	291	2	strategy	strategy	NOUN
ejpam-5953	291	3	reviews	review	NOUN
ejpam-5953	291	4	,	,	PUNCT
ejpam-5953	291	5	51:101299	51:101299	NUM
ejpam-5953	291	6	,	,	PUNCT
ejpam-5953	291	7	2024	2024	NUM
ejpam-5953	291	8	.	.	PUNCT
ejpam-5953	292	1	[	[	X
ejpam-5953	292	2	28	28	NUM
ejpam-5953	292	3	]	]	X
ejpam-5953	292	4	mahmoud	mahmoud	PROPN
ejpam-5953	292	5	kiasari	kiasari	PROPN
ejpam-5953	292	6	,	,	PUNCT
ejpam-5953	292	7	mahdi	mahdi	PROPN
ejpam-5953	292	8	ghaffari	ghaffari	PROPN
ejpam-5953	292	9	,	,	PUNCT
ejpam-5953	292	10	and	and	CCONJ
ejpam-5953	292	11	hamed	hamed	PROPN
ejpam-5953	292	12	h.	h.	PROPN
ejpam-5953	292	13	aly	aly	PROPN
ejpam-5953	292	14	.	.	PUNCT
ejpam-5953	293	1	a	a	DET
ejpam-5953	293	2	comprehensive	comprehensive	ADJ
ejpam-5953	293	3	review	review	NOUN
ejpam-5953	293	4	of	of	ADP
ejpam-5953	293	5	the	the	DET
ejpam-5953	293	6	current	current	ADJ
ejpam-5953	293	7	status	status	NOUN
ejpam-5953	293	8	of	of	ADP
ejpam-5953	293	9	smart	smart	ADJ
ejpam-5953	293	10	grid	grid	NOUN
ejpam-5953	293	11	technologies	technology	NOUN
ejpam-5953	293	12	for	for	ADP
ejpam-5953	293	13	renewable	renewable	ADJ
ejpam-5953	293	14	energies	energy	NOUN
ejpam-5953	293	15	integration	integration	NOUN
ejpam-5953	293	16	and	and	CCONJ
ejpam-5953	293	17	future	future	ADJ
ejpam-5953	293	18	trends	trend	NOUN
ejpam-5953	293	19	:	:	PUNCT
ejpam-5953	293	20	the	the	DET
ejpam-5953	293	21	role	role	NOUN
ejpam-5953	293	22	of	of	ADP
ejpam-5953	293	23	machine	machine	NOUN
ejpam-5953	293	24	learning	learning	NOUN
ejpam-5953	293	25	and	and	CCONJ
ejpam-5953	293	26	energy	energy	NOUN
ejpam-5953	293	27	storage	storage	NOUN
ejpam-5953	293	28	systems	system	NOUN
ejpam-5953	293	29	.	.	PUNCT
ejpam-5953	294	1	energies	energy	NOUN
ejpam-5953	294	2	,	,	PUNCT
ejpam-5953	294	3	17(16):4128	17(16):4128	NUM
ejpam-5953	294	4	,	,	PUNCT
ejpam-5953	294	5	2024	2024	NUM
ejpam-5953	294	6	.	.	PUNCT
ejpam-5953	295	1	[	[	X
ejpam-5953	295	2	29	29	NUM
ejpam-5953	295	3	]	]	X
ejpam-5953	295	4	xin	xin	PROPN
ejpam-5953	295	5	wen	wen	PROPN
ejpam-5953	295	6	,	,	PUNCT
ejpam-5953	295	7	qi	qi	PROPN
ejpam-5953	295	8	shen	shen	PROPN
ejpam-5953	295	9	,	,	PUNCT
ejpam-5953	295	10	wenxuan	wenxuan	PROPN
ejpam-5953	295	11	zheng	zheng	PROPN
ejpam-5953	295	12	,	,	PUNCT
ejpam-5953	295	13	and	and	CCONJ
ejpam-5953	295	14	haodong	haodong	PROPN
ejpam-5953	295	15	zhang	zhang	PROPN
ejpam-5953	295	16	.	.	PUNCT
ejpam-5953	295	17	ai	ai	PROPN
ejpam-5953	295	18	-	-	PUNCT
ejpam-5953	295	19	driven	drive	VERB
ejpam-5953	295	20	solar	solar	ADJ
ejpam-5953	295	21	energy	energy	NOUN
ejpam-5953	295	22	generation	generation	NOUN
ejpam-5953	295	23	and	and	CCONJ
ejpam-5953	295	24	smart	smart	ADJ
ejpam-5953	295	25	grid	grid	NOUN
ejpam-5953	295	26	integration	integration	NOUN
ejpam-5953	295	27	:	:	PUNCT
ejpam-5953	295	28	a	a	DET
ejpam-5953	295	29	holistic	holistic	ADJ
ejpam-5953	295	30	approach	approach	NOUN
ejpam-5953	295	31	to	to	ADP
ejpam-5953	295	32	enhancing	enhance	VERB
ejpam-5953	295	33	renewable	renewable	ADJ
ejpam-5953	295	34	energy	energy	NOUN
ejpam-5953	295	35	efficiency	efficiency	NOUN
ejpam-5953	295	36	.	.	PUNCT
ejpam-5953	296	1	integrated	integrate	VERB
ejpam-5953	296	2	journal	journal	NOUN
ejpam-5953	296	3	of	of	ADP
ejpam-5953	296	4	science	science	NOUN
ejpam-5953	296	5	and	and	CCONJ
ejpam-5953	296	6	technology	technology	NOUN
ejpam-5953	296	7	,	,	PUNCT
ejpam-5953	296	8	1(5):1–11	1(5):1–11	NUM
ejpam-5953	296	9	,	,	PUNCT
ejpam-5953	296	10	2024	2024	NUM
ejpam-5953	296	11	.	.	PUNCT
ejpam-5953	297	1	[	[	X
ejpam-5953	297	2	30	30	NUM
ejpam-5953	297	3	]	]	PUNCT
ejpam-5953	297	4	abdollah	abdollah	NOUN
ejpam-5953	297	5	younesi	younesi	PROPN
ejpam-5953	297	6	,	,	PUNCT
ejpam-5953	297	7	hossein	hossein	PROPN
ejpam-5953	297	8	shayeghi	shayeghi	PROPN
ejpam-5953	297	9	,	,	PUNCT
ejpam-5953	297	10	and	and	CCONJ
ejpam-5953	297	11	pierluigi	pierluigi	PROPN
ejpam-5953	297	12	siano	siano	PROPN
ejpam-5953	297	13	.	.	PUNCT
ejpam-5953	298	1	assessing	assess	VERB
ejpam-5953	298	2	the	the	DET
ejpam-5953	298	3	use	use	NOUN
ejpam-5953	298	4	of	of	ADP
ejpam-5953	298	5	reinforcement	reinforcement	NOUN
ejpam-5953	298	6	learning	learning	NOUN
ejpam-5953	298	7	for	for	ADP
ejpam-5953	298	8	integrated	integrated	ADJ
ejpam-5953	298	9	voltage	voltage	NOUN
ejpam-5953	298	10	/	/	SYM
ejpam-5953	298	11	frequency	frequency	NOUN
ejpam-5953	298	12	control	control	NOUN
ejpam-5953	298	13	in	in	ADP
ejpam-5953	298	14	ac	ac	PROPN
ejpam-5953	298	15	microgrids	microgrid	NOUN
ejpam-5953	298	16	.	.	PUNCT
ejpam-5953	299	1	energies	energy	NOUN
ejpam-5953	299	2	,	,	PUNCT
ejpam-5953	299	3	13(5):1250	13(5):1250	NUM
ejpam-5953	299	4	,	,	PUNCT
ejpam-5953	299	5	2020	2020	NUM
ejpam-5953	299	6	.	.	PUNCT
ejpam-5953	300	1	[	[	X
ejpam-5953	300	2	31	31	NUM
ejpam-5953	300	3	]	]	PUNCT
ejpam-5953	300	4	tanveer	tanveer	PROPN
ejpam-5953	300	5	ahmad	ahmad	PROPN
ejpam-5953	300	6	,	,	PUNCT
ejpam-5953	300	7	rafal	rafal	PROPN
ejpam-5953	300	8	madonski	madonski	PROPN
ejpam-5953	300	9	,	,	PUNCT
ejpam-5953	300	10	dongdong	dongdong	PROPN
ejpam-5953	300	11	zhang	zhang	PROPN
ejpam-5953	300	12	,	,	PUNCT
ejpam-5953	300	13	chao	chao	PROPN
ejpam-5953	300	14	huang	huang	PROPN
ejpam-5953	300	15	,	,	PUNCT
ejpam-5953	300	16	and	and	CCONJ
ejpam-5953	300	17	asad	asad	PROPN
ejpam-5953	300	18	mujeeb	mujeeb	PROPN
ejpam-5953	300	19	.	.	PUNCT
ejpam-5953	301	1	data	data	NOUN
ejpam-5953	301	2	-	-	PUNCT
ejpam-5953	301	3	driven	drive	VERB
ejpam-5953	301	4	probabilistic	probabilistic	ADJ
ejpam-5953	301	5	machine	machine	NOUN
ejpam-5953	301	6	learning	learning	NOUN
ejpam-5953	301	7	in	in	ADP
ejpam-5953	301	8	sustainable	sustainable	ADJ
ejpam-5953	301	9	smart	smart	ADJ
ejpam-5953	301	10	energy	energy	NOUN
ejpam-5953	301	11	systems	system	NOUN
ejpam-5953	301	12	:	:	PUNCT
ejpam-5953	301	13	key	key	ADJ
ejpam-5953	301	14	developments	development	NOUN
ejpam-5953	301	15	,	,	PUNCT
ejpam-5953	301	16	challenges	challenge	NOUN
ejpam-5953	301	17	,	,	PUNCT
ejpam-5953	301	18	and	and	CCONJ
ejpam-5953	301	19	future	future	ADJ
ejpam-5953	301	20	research	research	NOUN
ejpam-5953	301	21	opportunities	opportunity	NOUN
ejpam-5953	301	22	.	.	PUNCT
ejpam-5953	302	1	renewable	renewable	ADJ
ejpam-5953	302	2	and	and	CCONJ
ejpam-5953	302	3	sustainable	sustainable	ADJ
ejpam-5953	302	4	energy	energy	NOUN
ejpam-5953	302	5	reviews	review	NOUN
ejpam-5953	302	6	,	,	PUNCT
ejpam-5953	302	7	160:112128	160:112128	NOUN
ejpam-5953	302	8	,	,	PUNCT
ejpam-5953	302	9	2022	2022	NUM
ejpam-5953	302	10	.	.	PUNCT
ejpam-5953	303	1	[	[	X
ejpam-5953	303	2	32	32	NUM
ejpam-5953	303	3	]	]	PUNCT
ejpam-5953	303	4	balasubbareddy	balasubbareddy	NOUN
ejpam-5953	303	5	mallala	mallala	NOUN
ejpam-5953	303	6	,	,	PUNCT
ejpam-5953	303	7	azka	azka	PROPN
ejpam-5953	303	8	ihtesham	ihtesham	PROPN
ejpam-5953	303	9	uddin	uddin	PROPN
ejpam-5953	303	10	ahmed	ahmed	PROPN
ejpam-5953	303	11	,	,	PUNCT
ejpam-5953	303	12	sastry	sastry	PROPN
ejpam-5953	303	13	v.	v.	PROPN
ejpam-5953	303	14	pamidi	pamidi	PROPN
ejpam-5953	303	15	,	,	PUNCT
ejpam-5953	303	16	md	md	PROPN
ejpam-5953	303	17	omar	omar	PROPN
ejpam-5953	303	18	faruque	faruque	PROPN
ejpam-5953	303	19	,	,	PUNCT
ejpam-5953	303	20	and	and	CCONJ
ejpam-5953	303	21	rajasekhar	rajasekhar	PROPN
ejpam-5953	303	22	reddy	reddy	PROPN
ejpam-5953	303	23	.	.	PUNCT
ejpam-5953	304	1	forecasting	forecast	VERB
ejpam-5953	304	2	global	global	ADJ
ejpam-5953	304	3	sustainable	sustainable	ADJ
ejpam-5953	304	4	energy	energy	NOUN
ejpam-5953	304	5	from	from	ADP
ejpam-5953	304	6	renewable	renewable	ADJ
ejpam-5953	304	7	sources	source	NOUN
ejpam-5953	304	8	using	use	VERB
ejpam-5953	304	9	random	random	ADJ
ejpam-5953	304	10	forest	forest	NOUN
ejpam-5953	304	11	algorithm	algorithm	NOUN
ejpam-5953	304	12	.	.	PUNCT
ejpam-5953	305	1	results	result	NOUN
ejpam-5953	305	2	in	in	ADP
ejpam-5953	305	3	engineering	engineering	NOUN
ejpam-5953	305	4	,	,	PUNCT
ejpam-5953	305	5	25:103789	25:103789	NUM
ejpam-5953	305	6	,	,	PUNCT
ejpam-5953	305	7	2025	2025	NUM
ejpam-5953	305	8	.	.	PUNCT
ejpam-5953	306	1	[	[	X
ejpam-5953	306	2	33	33	NUM
ejpam-5953	306	3	]	]	X
ejpam-5953	306	4	ibrahim	ibrahim	PROPN
ejpam-5953	306	5	barrie	barrie	PROPN
ejpam-5953	306	6	,	,	PUNCT
ejpam-5953	306	7	chijioke	chijioke	VERB
ejpam-5953	306	8	paul	paul	PROPN
ejpam-5953	306	9	agupugo	agupugo	PROPN
ejpam-5953	306	10	,	,	PUNCT
ejpam-5953	306	11	happy	happy	ADJ
ejpam-5953	306	12	omoze	omoze	NOUN
ejpam-5953	306	13	iguare	iguare	NOUN
ejpam-5953	306	14	,	,	PUNCT
ejpam-5953	306	15	and	and	CCONJ
ejpam-5953	306	16	abisade	abisade	VERB
ejpam-5953	306	17	folarin	folarin	ADJ
ejpam-5953	306	18	.	.	PUNCT
ejpam-5953	307	1	leveraging	leverage	VERB
ejpam-5953	307	2	machine	machine	NOUN
ejpam-5953	307	3	learning	learn	VERB
ejpam-5953	307	4	to	to	PART
ejpam-5953	307	5	optimize	optimize	VERB
ejpam-5953	307	6	renewable	renewable	ADJ
ejpam-5953	307	7	energy	energy	NOUN
ejpam-5953	307	8	integration	integration	NOUN
ejpam-5953	307	9	in	in	ADP
ejpam-5953	307	10	developing	develop	VERB
ejpam-5953	307	11	economies	economy	NOUN
ejpam-5953	307	12	.	.	PUNCT
ejpam-5953	308	1	global	global	ADJ
ejpam-5953	308	2	journal	journal	PROPN
ejpam-5953	308	3	of	of	ADP
ejpam-5953	308	4	engineering	engineering	NOUN
ejpam-5953	308	5	and	and	CCONJ
ejpam-5953	308	6	technology	technology	NOUN
ejpam-5953	308	7	advances	advance	NOUN
ejpam-5953	308	8	,	,	PUNCT
ejpam-5953	308	9	20(3):080–093	20(3):080–093	NUM
ejpam-5953	308	10	,	,	PUNCT
ejpam-5953	308	11	2024	2024	NUM
ejpam-5953	308	12	.	.	PUNCT
ejpam-5953	309	1	[	[	X
ejpam-5953	309	2	34	34	NUM
ejpam-5953	309	3	]	]	X
ejpam-5953	309	4	tarik	tarik	PROPN
ejpam-5953	309	5	ikbal	ikbal	PROPN
ejpam-5953	309	6	.	.	PUNCT
ejpam-5953	310	1	empowering	empower	VERB
ejpam-5953	310	2	a	a	DET
ejpam-5953	310	3	sustainable	sustainable	ADJ
ejpam-5953	310	4	future	future	NOUN
ejpam-5953	310	5	:	:	PUNCT
ejpam-5953	310	6	unleashing	unleash	VERB
ejpam-5953	310	7	the	the	DET
ejpam-5953	310	8	potential	potential	NOUN
ejpam-5953	310	9	of	of	ADP
ejpam-5953	310	10	machine	machine	NOUN
ejpam-5953	310	11	learning	learn	VERB
ejpam-5953	310	12	for	for	ADP
ejpam-5953	310	13	energy	energy	NOUN
ejpam-5953	310	14	efficiency	efficiency	NOUN
ejpam-5953	310	15	and	and	CCONJ
ejpam-5953	310	16	conservation	conservation	NOUN
ejpam-5953	310	17	.	.	PUNCT
ejpam-5953	311	1	in	in	ADP
ejpam-5953	311	2	green	green	ADJ
ejpam-5953	311	3	machine	machine	NOUN
ejpam-5953	311	4	learning	learning	NOUN
ejpam-5953	311	5	and	and	CCONJ
ejpam-5953	311	6	big	big	ADJ
ejpam-5953	311	7	data	datum	NOUN
ejpam-5953	311	8	for	for	ADP
ejpam-5953	311	9	smart	smart	ADJ
ejpam-5953	311	10	grids	grid	NOUN
ejpam-5953	311	11	,	,	PUNCT
ejpam-5953	311	12	pages	page	NOUN
ejpam-5953	311	13	235–249	235–249	NUM
ejpam-5953	311	14	.	.	PUNCT
ejpam-5953	311	15	elsevier	elsevier	NOUN
ejpam-5953	311	16	,	,	PUNCT
ejpam-5953	311	17	2025	2025	NUM
ejpam-5953	311	18	.	.	PUNCT
ejpam-5953	312	1	[	[	X
ejpam-5953	312	2	35	35	NUM
ejpam-5953	312	3	]	]	PUNCT
ejpam-5953	312	4	abdollah	abdollah	NOUN
ejpam-5953	312	5	younesi	younesi	PROPN
ejpam-5953	312	6	,	,	PUNCT
ejpam-5953	312	7	hossein	hossein	PROPN
ejpam-5953	312	8	shayeghi	shayeghi	PROPN
ejpam-5953	312	9	,	,	PUNCT
ejpam-5953	312	10	and	and	CCONJ
ejpam-5953	312	11	pierluigi	pierluigi	PROPN
ejpam-5953	312	12	siano	siano	PROPN
ejpam-5953	312	13	.	.	PUNCT
ejpam-5953	313	1	assessing	assess	VERB
ejpam-5953	313	2	the	the	DET
ejpam-5953	313	3	use	use	NOUN
ejpam-5953	313	4	of	of	ADP
ejpam-5953	313	5	reinforcement	reinforcement	NOUN
ejpam-5953	313	6	learning	learning	NOUN
ejpam-5953	313	7	for	for	ADP
ejpam-5953	313	8	integrated	integrated	ADJ
ejpam-5953	313	9	voltage	voltage	NOUN
ejpam-5953	313	10	/	/	SYM
ejpam-5953	313	11	frequency	frequency	NOUN
ejpam-5953	313	12	control	control	NOUN
ejpam-5953	313	13	in	in	ADP
ejpam-5953	313	14	ac	ac	PROPN
ejpam-5953	313	15	microgrids	microgrid	NOUN
ejpam-5953	313	16	.	.	PUNCT
ejpam-5953	314	1	energies	energy	NOUN
ejpam-5953	314	2	,	,	PUNCT
ejpam-5953	314	3	13(5):1250	13(5):1250	NUM
ejpam-5953	314	4	,	,	PUNCT
ejpam-5953	314	5	2020	2020	NUM
ejpam-5953	314	6	.	.	PUNCT
ejpam-5953	315	1	[	[	X
ejpam-5953	315	2	36	36	NUM
ejpam-5953	315	3	]	]	PUNCT
ejpam-5953	315	4	p.	p.	PROPN
ejpam-5953	315	5	naveen	naveen	PROPN
ejpam-5953	315	6	and	and	CCONJ
ejpam-5953	315	7	s.	s.	PROPN
ejpam-5953	315	8	vinodkumar	vinodkumar	PROPN
ejpam-5953	315	9	.	.	PUNCT
ejpam-5953	316	1	enhancing	enhance	VERB
ejpam-5953	316	2	power	power	NOUN
ejpam-5953	316	3	system	system	NOUN
ejpam-5953	316	4	management	management	NOUN
ejpam-5953	316	5	with	with	ADP
ejpam-5953	316	6	xai	xai	PROPN
ejpam-5953	316	7	.	.	PUNCT
ejpam-5953	317	1	in	in	ADP
ejpam-5953	317	2	explainable	explainable	ADJ
ejpam-5953	317	3	artificial	artificial	ADJ
ejpam-5953	317	4	intelligence	intelligence	NOUN
ejpam-5953	317	5	and	and	CCONJ
ejpam-5953	317	6	solar	solar	ADJ
ejpam-5953	317	7	energy	energy	NOUN
ejpam-5953	317	8	integration	integration	NOUN
ejpam-5953	317	9	,	,	PUNCT
ejpam-5953	317	10	pages	page	NOUN
ejpam-5953	317	11	393–416	393–416	NUM
ejpam-5953	317	12	.	.	PUNCT
ejpam-5953	318	1	igi	igi	PROPN
ejpam-5953	318	2	global	global	PROPN
ejpam-5953	318	3	,	,	PUNCT
ejpam-5953	318	4	2025	2025	NUM
ejpam-5953	318	5	.	.	PUNCT
ejpam-5953	319	1	[	[	X
ejpam-5953	319	2	37	37	NUM
ejpam-5953	319	3	]	]	X
ejpam-5953	319	4	ankit	ankit	PROPN
ejpam-5953	319	5	ghosh	ghosh	PROPN
ejpam-5953	319	6	and	and	CCONJ
ejpam-5953	319	7	alok	alok	PROPN
ejpam-5953	319	8	kole	kole	PROPN
ejpam-5953	319	9	.	.	PUNCT
ejpam-5953	320	1	a	a	DET
ejpam-5953	320	2	comparative	comparative	ADJ
ejpam-5953	320	3	analysis	analysis	NOUN
ejpam-5953	320	4	of	of	ADP
ejpam-5953	320	5	enhanced	enhanced	ADJ
ejpam-5953	320	6	machine	machine	NOUN
ejpam-5953	320	7	learning	learn	VERB
ejpam-5953	320	8	algorithms	algorithm	NOUN
ejpam-5953	320	9	for	for	ADP
ejpam-5953	320	10	smart	smart	ADJ
ejpam-5953	320	11	grid	grid	NOUN
ejpam-5953	320	12	stability	stability	NOUN
ejpam-5953	320	13	prediction	prediction	NOUN
ejpam-5953	320	14	.	.	PUNCT
ejpam-5953	321	1	authorea	authorea	PROPN
ejpam-5953	321	2	preprints	preprint	NOUN
ejpam-5953	321	3	,	,	PUNCT
ejpam-5953	321	4	2021	2021	NUM
ejpam-5953	321	5	.	.	PUNCT
ejpam-5953	322	1	[	[	X
ejpam-5953	322	2	38	38	NUM
ejpam-5953	322	3	]	]	X
ejpam-5953	322	4	nima	nima	PROPN
ejpam-5953	322	5	khosravi	khosravi	PROPN
ejpam-5953	322	6	,	,	PUNCT
ejpam-5953	322	7	masrour	masrour	NOUN
ejpam-5953	322	8	dowlatabadi	dowlatabadi	NOUN
ejpam-5953	322	9	,	,	PUNCT
ejpam-5953	322	10	and	and	CCONJ
ejpam-5953	322	11	kiomars	kiomar	VERB
ejpam-5953	322	12	sabzevari	sabzevari	PROPN
ejpam-5953	322	13	.	.	PUNCT
ejpam-5953	323	1	a	a	DET
ejpam-5953	323	2	hierarchical	hierarchical	ADJ
ejpam-5953	323	3	deep	deep	ADJ
ejpam-5953	323	4	learning	learning	NOUN
ejpam-5953	323	5	approach	approach	NOUN
ejpam-5953	323	6	to	to	ADP
ejpam-5953	323	7	optimizing	optimize	VERB
ejpam-5953	323	8	voltage	voltage	NOUN
ejpam-5953	323	9	and	and	CCONJ
ejpam-5953	323	10	frequency	frequency	NOUN
ejpam-5953	323	11	control	control	NOUN
ejpam-5953	323	12	in	in	ADP
ejpam-5953	323	13	networked	networked	ADJ
ejpam-5953	323	14	microgrid	microgrid	NOUN
ejpam-5953	323	15	systems	system	NOUN
ejpam-5953	323	16	.	.	PUNCT
ejpam-5953	324	1	applied	apply	VERB
ejpam-5953	324	2	energy	energy	NOUN
ejpam-5953	324	3	,	,	PUNCT
ejpam-5953	324	4	377:124313	377:124313	NUM
ejpam-5953	324	5	,	,	PUNCT
ejpam-5953	324	6	2025	2025	NUM
ejpam-5953	324	7	.	.	PUNCT
ejpam-5953	325	1	[	[	X
ejpam-5953	325	2	39	39	NUM
ejpam-5953	325	3	]	]	PUNCT
ejpam-5953	325	4	umesh	umesh	PROPN
ejpam-5953	325	5	kumar	kumar	PROPN
ejpam-5953	325	6	lilhore	lilhore	PROPN
ejpam-5953	325	7	,	,	PUNCT
ejpam-5953	325	8	surjeet	surjeet	PROPN
ejpam-5953	325	9	dalal	dalal	PROPN
ejpam-5953	325	10	,	,	PUNCT
ejpam-5953	325	11	magdalena	magdalena	PROPN
ejpam-5953	325	12	radulescu	radulescu	PROPN
ejpam-5953	325	13	,	,	PUNCT
ejpam-5953	325	14	and	and	CCONJ
ejpam-5953	325	15	marinela	marinela	PROPN
ejpam-5953	325	16	barbulescu	barbulescu	NOUN
ejpam-5953	325	17	.	.	PUNCT
ejpam-5953	326	1	smart	smart	ADJ
ejpam-5953	326	2	grid	grid	NOUN
ejpam-5953	326	3	stability	stability	NOUN
ejpam-5953	326	4	prediction	prediction	NOUN
ejpam-5953	326	5	model	model	NOUN
ejpam-5953	326	6	using	use	VERB
ejpam-5953	326	7	two	two	NUM
ejpam-5953	326	8	-	-	PUNCT
ejpam-5953	326	9	way	way	NOUN
ejpam-5953	326	10	attention	attention	NOUN
ejpam-5953	326	11	based	base	VERB
ejpam-5953	326	12	k.	k.	PROPN
ejpam-5953	326	13	danach	danach	PROPN
ejpam-5953	326	14	,	,	PUNCT
ejpam-5953	326	15	w.	w.	PROPN
ejpam-5953	326	16	h.	h.	PROPN
ejpam-5953	326	17	f.	f.	PROPN
ejpam-5953	326	18	aly	aly	PROPN
ejpam-5953	326	19	,	,	PUNCT
ejpam-5953	326	20	h.	h.	PROPN
ejpam-5953	326	21	kanj	kanj	PROPN
ejpam-5953	326	22	/	/	PUNCT
ejpam-5953	326	23	eur	eur	PROPN
ejpam-5953	326	24	.	.	PUNCT
ejpam-5953	327	1	j.	j.	PROPN
ejpam-5953	327	2	pure	pure	PROPN
ejpam-5953	327	3	appl	appl	PROPN
ejpam-5953	327	4	.	.	PROPN
ejpam-5953	327	5	math	math	PROPN
ejpam-5953	327	6	,	,	PUNCT
ejpam-5953	327	7	18	18	NUM
ejpam-5953	327	8	(	(	PUNCT
ejpam-5953	327	9	2	2	NUM
ejpam-5953	327	10	)	)	PUNCT
ejpam-5953	327	11	(	(	PUNCT
ejpam-5953	327	12	2025	2025	NUM
ejpam-5953	327	13	)	)	PUNCT
ejpam-5953	327	14	,	,	PUNCT
ejpam-5953	327	15	5953	5953	NUM
ejpam-5953	327	16	20	20	NUM
ejpam-5953	327	17	of	of	ADP
ejpam-5953	327	18	20	20	NUM
ejpam-5953	327	19	hybrid	hybrid	ADJ
ejpam-5953	327	20	deep	deep	ADJ
ejpam-5953	327	21	learning	learning	NOUN
ejpam-5953	327	22	and	and	CCONJ
ejpam-5953	327	23	mpso	mpso	ADJ
ejpam-5953	327	24	.	.	PUNCT
ejpam-5953	328	1	energy	energy	NOUN
ejpam-5953	328	2	exploration	exploration	NOUN
ejpam-5953	328	3	and	and	CCONJ
ejpam-5953	328	4	exploitation	exploitation	NOUN
ejpam-5953	328	5	,	,	PUNCT
ejpam-5953	328	6	page	page	NOUN
ejpam-5953	328	7	01445987241266892	01445987241266892	NUM
ejpam-5953	328	8	,	,	PUNCT
ejpam-5953	328	9	2024	2024	NUM
ejpam-5953	328	10	.	.	PUNCT
ejpam-5953	329	1	[	[	X
ejpam-5953	329	2	40	40	NUM
ejpam-5953	329	3	]	]	PUNCT
ejpam-5953	329	4	tahreem	tahreem	PROPN
ejpam-5953	329	5	shahzad	shahzad	PROPN
ejpam-5953	329	6	,	,	PUNCT
ejpam-5953	329	7	sajawal	sajawal	NOUN
ejpam-5953	329	8	nawaz	nawaz	NOUN
ejpam-5953	329	9	,	,	PUNCT
ejpam-5953	329	10	and	and	CCONJ
ejpam-5953	329	11	mujahid	mujahid	PROPN
ejpam-5953	329	12	tabassum	tabassum	NOUN
ejpam-5953	329	13	.	.	PUNCT
ejpam-5953	330	1	renewable	renewable	ADJ
ejpam-5953	330	2	energy	energy	NOUN
ejpam-5953	330	3	deployment	deployment	NOUN
ejpam-5953	330	4	and	and	CCONJ
ejpam-5953	330	5	guidelines	guideline	NOUN
ejpam-5953	330	6	for	for	ADP
ejpam-5953	330	7	responsible	responsible	ADJ
ejpam-5953	330	8	ai	ai	PROPN
ejpam-5953	330	9	adoption	adoption	NOUN
ejpam-5953	330	10	.	.	PUNCT
ejpam-5953	331	1	in	in	ADP
ejpam-5953	331	2	explainable	explainable	ADJ
ejpam-5953	331	3	artificial	artificial	ADJ
ejpam-5953	331	4	intelligence	intelligence	NOUN
ejpam-5953	331	5	and	and	CCONJ
ejpam-5953	331	6	solar	solar	ADJ
ejpam-5953	331	7	energy	energy	NOUN
ejpam-5953	331	8	integration	integration	NOUN
ejpam-5953	331	9	,	,	PUNCT
ejpam-5953	331	10	pages	page	NOUN
ejpam-5953	331	11	363–392	363–392	NUM
ejpam-5953	331	12	.	.	PUNCT
ejpam-5953	331	13	igi	igi	PROPN
ejpam-5953	331	14	global	global	PROPN
ejpam-5953	331	15	,	,	PUNCT
ejpam-5953	331	16	2025	2025	NUM
ejpam-5953	331	17	.	.	PUNCT
ejpam-5953	332	1	[	[	X
ejpam-5953	332	2	41	41	NUM
ejpam-5953	332	3	]	]	PUNCT
ejpam-5953	332	4	mohamed	mohamed	PROPN
ejpam-5953	332	5	massaoudi	massaoudi	PROPN
ejpam-5953	332	6	,	,	PUNCT
ejpam-5953	332	7	haitham	haitham	PROPN
ejpam-5953	332	8	abu	abu	PROPN
ejpam-5953	332	9	-	-	PUNCT
ejpam-5953	332	10	rub	rub	PROPN
ejpam-5953	332	11	,	,	PUNCT
ejpam-5953	332	12	shady	shady	ADJ
ejpam-5953	332	13	s.	s.	PROPN
ejpam-5953	332	14	refaat	refaat	PROPN
ejpam-5953	332	15	,	,	PUNCT
ejpam-5953	332	16	ines	ines	PROPN
ejpam-5953	332	17	chihi	chihi	PROPN
ejpam-5953	332	18	,	,	PUNCT
ejpam-5953	332	19	and	and	CCONJ
ejpam-5953	332	20	fakhreddine	fakhreddine	PROPN
ejpam-5953	332	21	s.	s.	PROPN
ejpam-5953	332	22	oueslati	oueslati	PROPN
ejpam-5953	332	23	.	.	PUNCT
ejpam-5953	333	1	deep	deep	ADJ
ejpam-5953	333	2	learning	learning	NOUN
ejpam-5953	333	3	in	in	ADP
ejpam-5953	333	4	smart	smart	ADJ
ejpam-5953	333	5	grid	grid	NOUN
ejpam-5953	333	6	technology	technology	NOUN
ejpam-5953	333	7	:	:	PUNCT
ejpam-5953	333	8	a	a	DET
ejpam-5953	333	9	review	review	NOUN
ejpam-5953	333	10	of	of	ADP
ejpam-5953	333	11	recent	recent	ADJ
ejpam-5953	333	12	advancements	advancement	NOUN
ejpam-5953	333	13	and	and	CCONJ
ejpam-5953	333	14	future	future	ADJ
ejpam-5953	333	15	prospects	prospect	NOUN
ejpam-5953	333	16	.	.	PUNCT
ejpam-5953	334	1	ieee	ieee	NOUN
ejpam-5953	334	2	access	access	NOUN
ejpam-5953	334	3	,	,	PUNCT
ejpam-5953	334	4	9:54558–54578	9:54558–54578	NUM
ejpam-5953	334	5	,	,	PUNCT
ejpam-5953	334	6	2021	2021	NUM
ejpam-5953	334	7	.	.	PUNCT
ejpam-5953	335	1	[	[	X
ejpam-5953	335	2	42	42	NUM
ejpam-5953	335	3	]	]	PUNCT
ejpam-5953	335	4	mohamed	mohamed	PROPN
ejpam-5953	335	5	el	el	PROPN
ejpam-5953	335	6	-	-	PUNCT
ejpam-5953	335	7	sayed	say	VERB
ejpam-5953	335	8	m.	m.	PROPN
ejpam-5953	335	9	essa	essa	PROPN
ejpam-5953	335	10	,	,	PUNCT
ejpam-5953	335	11	mohammed	mohammed	PROPN
ejpam-5953	335	12	fouad	fouad	PROPN
ejpam-5953	335	13	ali	ali	PROPN
ejpam-5953	335	14	,	,	PUNCT
ejpam-5953	335	15	elwy	elwy	PROPN
ejpam-5953	335	16	e.	e.	PROPN
ejpam-5953	335	17	el	el	PROPN
ejpam-5953	335	18	-	-	PROPN
ejpam-5953	335	19	kholy	kholy	PROPN
ejpam-5953	335	20	,	,	PUNCT
ejpam-5953	335	21	mohammed	mohammed	PROPN
ejpam-5953	335	22	amer	amer	PROPN
ejpam-5953	335	23	,	,	PUNCT
ejpam-5953	335	24	mahmoud	mahmoud	PROPN
ejpam-5953	335	25	elsisi	elsisi	PROPN
ejpam-5953	335	26	,	,	PUNCT
ejpam-5953	335	27	uzair	uzair	PROPN
ejpam-5953	335	28	sajjad	sajjad	PROPN
ejpam-5953	335	29	,	,	PUNCT
ejpam-5953	335	30	khalid	khalid	PROPN
ejpam-5953	335	31	hamid	hamid	PROPN
ejpam-5953	335	32	,	,	PUNCT
ejpam-5953	335	33	and	and	CCONJ
ejpam-5953	335	34	hilmy	hilmy	PRON
ejpam-5953	335	35	el	el	PROPN
ejpam-5953	335	36	sayed	sayed	PROPN
ejpam-5953	335	37	awad	awad	PROPN
ejpam-5953	335	38	.	.	PUNCT
ejpam-5953	336	1	improving	improve	VERB
ejpam-5953	336	2	micro	micro	ADJ
ejpam-5953	336	3	-	-	ADJ
ejpam-5953	336	4	grid	grid	ADJ
ejpam-5953	336	5	management	management	NOUN
ejpam-5953	336	6	:	:	PUNCT
ejpam-5953	336	7	a	a	DET
ejpam-5953	336	8	review	review	NOUN
ejpam-5953	336	9	of	of	ADP
ejpam-5953	336	10	integration	integration	NOUN
ejpam-5953	336	11	of	of	ADP
ejpam-5953	336	12	supercapacitor	supercapacitor	NOUN
ejpam-5953	336	13	across	across	ADP
ejpam-5953	336	14	different	different	ADJ
ejpam-5953	336	15	operating	operating	NOUN
ejpam-5953	336	16	modes	mode	NOUN
ejpam-5953	336	17	.	.	PUNCT
ejpam-5953	337	1	heliyon	heliyon	NOUN
ejpam-5953	337	2	,	,	PUNCT
ejpam-5953	337	3	11(1):e23532	11(1):e23532	NUM
ejpam-5953	337	4	,	,	PUNCT
ejpam-5953	337	5	2025	2025	NUM
ejpam-5953	337	6	.	.	PUNCT
ejpam-5953	338	1	[	[	X
ejpam-5953	338	2	43	43	NUM
ejpam-5953	338	3	]	]	X
ejpam-5953	338	4	ipseeta	ipseeta	PROPN
ejpam-5953	338	5	satpathy	satpathy	PROPN
ejpam-5953	338	6	,	,	PUNCT
ejpam-5953	338	7	arpita	arpita	PROPN
ejpam-5953	338	8	nayak	nayak	PROPN
ejpam-5953	338	9	,	,	PUNCT
ejpam-5953	338	10	vishal	vishal	PROPN
ejpam-5953	338	11	jain	jain	PROPN
ejpam-5953	338	12	,	,	PUNCT
ejpam-5953	338	13	and	and	CCONJ
ejpam-5953	338	14	bharatendra	bharatendra	PROPN
ejpam-5953	338	15	rai	rai	PROPN
ejpam-5953	338	16	.	.	PUNCT
ejpam-5953	339	1	maximizing	maximize	VERB
ejpam-5953	339	2	energy	energy	NOUN
ejpam-5953	339	3	efficiency	efficiency	NOUN
ejpam-5953	339	4	in	in	ADP
ejpam-5953	339	5	renewable	renewable	ADJ
ejpam-5953	339	6	energy	energy	NOUN
ejpam-5953	339	7	projects	project	NOUN
ejpam-5953	339	8	through	through	ADP
ejpam-5953	339	9	automated	automate	VERB
ejpam-5953	339	10	demand	demand	NOUN
ejpam-5953	339	11	response	response	NOUN
ejpam-5953	339	12	systems	system	NOUN
ejpam-5953	339	13	.	.	PUNCT
ejpam-5953	340	1	in	in	ADP
ejpam-5953	340	2	digital	digital	ADJ
ejpam-5953	340	3	innovations	innovation	NOUN
ejpam-5953	340	4	for	for	ADP
ejpam-5953	340	5	renewable	renewable	ADJ
ejpam-5953	340	6	energy	energy	NOUN
ejpam-5953	340	7	and	and	CCONJ
ejpam-5953	340	8	conservation	conservation	NOUN
ejpam-5953	340	9	,	,	PUNCT
ejpam-5953	340	10	pages	page	NOUN
ejpam-5953	340	11	219	219	NUM
ejpam-5953	340	12	–	–	PUNCT
ejpam-5953	340	13	240	240	NUM
ejpam-5953	340	14	.	.	PUNCT
ejpam-5953	341	1	igi	igi	PROPN
ejpam-5953	341	2	global	global	PROPN
ejpam-5953	341	3	,	,	PUNCT
ejpam-5953	341	4	2025	2025	NUM
ejpam-5953	341	5	.	.	PUNCT
ejpam-5953	342	1	[	[	X
ejpam-5953	342	2	44	44	NUM
ejpam-5953	342	3	]	]	PUNCT
ejpam-5953	342	4	divya	divya	PROPN
ejpam-5953	342	5	vetriveeran	vetriveeran	PROPN
ejpam-5953	342	6	,	,	PUNCT
ejpam-5953	342	7	rakoth	rakoth	PROPN
ejpam-5953	342	8	kandan	kandan	PROPN
ejpam-5953	342	9	sambandam	sambandam	PROPN
ejpam-5953	342	10	,	,	PUNCT
ejpam-5953	342	11	thaiyalnayaki	thaiyalnayaki	PROPN
ejpam-5953	342	12	sekar	sekar	PROPN
ejpam-5953	342	13	,	,	PUNCT
ejpam-5953	342	14	and	and	CCONJ
ejpam-5953	342	15	arul	arul	PROPN
ejpam-5953	342	16	venkatachalam	venkatachalam	PROPN
ejpam-5953	342	17	.	.	PUNCT
ejpam-5953	343	1	optimized	optimize	VERB
ejpam-5953	343	2	multi	multi	ADJ
ejpam-5953	343	3	-	-	ADJ
ejpam-5953	343	4	scale	scale	ADJ
ejpam-5953	343	5	attention	attention	NOUN
ejpam-5953	343	6	convolutional	convolutional	ADJ
ejpam-5953	343	7	neural	neural	ADJ
ejpam-5953	343	8	network	network	NOUN
ejpam-5953	343	9	for	for	ADP
ejpam-5953	343	10	micro	micro	ADJ
ejpam-5953	343	11	-	-	ADJ
ejpam-5953	343	12	grid	grid	ADJ
ejpam-5953	343	13	energy	energy	NOUN
ejpam-5953	343	14	management	management	NOUN
ejpam-5953	343	15	system	system	NOUN
ejpam-5953	343	16	employing	employ	VERB
ejpam-5953	343	17	in	in	ADP
ejpam-5953	343	18	internet	internet	NOUN
ejpam-5953	343	19	of	of	ADP
ejpam-5953	343	20	things	thing	NOUN
ejpam-5953	343	21	.	.	PUNCT
ejpam-5953	344	1	optimal	optimal	ADJ
ejpam-5953	344	2	control	control	NOUN
ejpam-5953	344	3	applications	application	NOUN
ejpam-5953	344	4	and	and	CCONJ
ejpam-5953	344	5	methods	method	NOUN
ejpam-5953	344	6	,	,	PUNCT
ejpam-5953	344	7	2025	2025	NUM
ejpam-5953	344	8	.	.	PUNCT