id	sid	tid	token	lemma	pos
cuesj-522	1	1	tx_1	tx_1	PROPN
cuesj-522	1	2	~	~	X
cuesj-522	1	3	abs	ab	NOUN
cuesj-522	1	4	:	:	PUNCT
cuesj-522	1	5	at	at	ADP
cuesj-522	1	6	/	/	SYM
cuesj-522	1	7	add	add	VERB
cuesj-522	1	8	:	:	PUNCT
cuesj-522	1	9	tx_2	tx_2	PROPN
cuesj-522	1	10	~	~	NOUN
cuesj-522	1	11	abs	ab	NOUN
cuesj-522	1	12	:	:	PUNCT
cuesj-522	1	13	at	at	ADP
cuesj-522	1	14	56	56	NUM
cuesj-522	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-522	1	16	cuesj	cuesj	ADJ
cuesj-522	1	17	2021	2021	NUM
cuesj-522	1	18	,	,	PUNCT
cuesj-522	1	19	5	5	NUM
cuesj-522	1	20	(	(	PUNCT
cuesj-522	1	21	2	2	NUM
cuesj-522	1	22	):	):	PUNCT
cuesj-522	1	23	56	56	NUM
cuesj-522	1	24	-	-	SYM
cuesj-522	1	25	63	63	NUM
cuesj-522	1	26	research	research	NOUN
cuesj-522	1	27	article	article	NOUN
cuesj-522	1	28	a	a	DET
cuesj-522	1	29	comparison	comparison	NOUN
cuesj-522	1	30	between	between	ADP
cuesj-522	1	31	brown	brown	PROPN
cuesj-522	1	32	’s	’s	PART
cuesj-522	1	33	and	and	CCONJ
cuesj-522	1	34	holt	holt	PROPN
cuesj-522	1	35	’s	’s	PART
cuesj-522	1	36	double	double	ADJ
cuesj-522	1	37	exponential	exponential	NOUN
cuesj-522	1	38	smoothing	smoothing	NOUN
cuesj-522	1	39	for	for	ADP
cuesj-522	1	40	forecasting	forecast	VERB
cuesj-522	1	41	applied	apply	VERB
cuesj-522	1	42	generation	generation	NOUN
cuesj-522	1	43	electrical	electrical	ADJ
cuesj-522	1	44	energies	energy	NOUN
cuesj-522	1	45	in	in	ADP
cuesj-522	1	46	kurdistan	kurdistan	PROPN
cuesj-522	1	47	region	region	NOUN
cuesj-522	1	48	ameera	ameera	PROPN
cuesj-522	1	49	w.	w.	PROPN
cuesj-522	1	50	omer1	omer1	PROPN
cuesj-522	1	51	*	*	PROPN
cuesj-522	1	52	,	,	PUNCT
cuesj-522	1	53	hazhar	hazhar	PROPN
cuesj-522	1	54	t.	t.	PROPN
cuesj-522	1	55	a.	a.	PROPN
cuesj-522	1	56	blbas1	blbas1	PROPN
cuesj-522	1	57	,	,	PUNCT
cuesj-522	1	58	dler	dler	NOUN
cuesj-522	1	59	h.	h.	PROPN
cuesj-522	1	60	kadir1,2	kadir1,2	PROPN
cuesj-522	1	61	1department	1department	NUM
cuesj-522	1	62	of	of	ADP
cuesj-522	1	63	statistics	statistic	NOUN
cuesj-522	1	64	,	,	PUNCT
cuesj-522	1	65	college	college	NOUN
cuesj-522	1	66	of	of	ADP
cuesj-522	1	67	administration	administration	NOUN
cuesj-522	1	68	and	and	CCONJ
cuesj-522	1	69	economics	economic	NOUN
cuesj-522	1	70	,	,	PUNCT
cuesj-522	1	71	salahaddin	salahaddin	VERB
cuesj-522	1	72	university	university	NOUN
cuesj-522	1	73	-	-	PUNCT
cuesj-522	1	74	erbil	erbil	PROPN
cuesj-522	1	75	,	,	PUNCT
cuesj-522	1	76	kurdistan	kurdistan	PROPN
cuesj-522	1	77	region	region	PROPN
cuesj-522	1	78	f.r	f.r	PROPN
cuesj-522	1	79	.	.	PROPN
cuesj-522	1	80	iraq	iraq	PROPN
cuesj-522	1	81	,	,	PUNCT
cuesj-522	1	82	2department	2department	NUM
cuesj-522	1	83	of	of	ADP
cuesj-522	1	84	business	business	NOUN
cuesj-522	1	85	administration	administration	NOUN
cuesj-522	1	86	,	,	PUNCT
cuesj-522	1	87	cihan	cihan	VERB
cuesj-522	1	88	university	university	NOUN
cuesj-522	1	89	-	-	PUNCT
cuesj-522	1	90	erbil	erbil	PROPN
cuesj-522	1	91	,	,	PUNCT
cuesj-522	1	92	iraq	iraq	PROPN
cuesj-522	1	93	abstract	abstract	ADJ
cuesj-522	1	94	the	the	DET
cuesj-522	1	95	process	process	NOUN
cuesj-522	1	96	of	of	ADP
cuesj-522	1	97	producing	produce	VERB
cuesj-522	1	98	electricity	electricity	NOUN
cuesj-522	1	99	from	from	ADP
cuesj-522	1	100	sources	source	NOUN
cuesj-522	1	101	of	of	ADP
cuesj-522	1	102	energy	energy	NOUN
cuesj-522	1	103	is	be	AUX
cuesj-522	1	104	known	know	VERB
cuesj-522	1	105	as	as	ADP
cuesj-522	1	106	electricity	electricity	NOUN
cuesj-522	1	107	production	production	NOUN
cuesj-522	1	108	.	.	PUNCT
cuesj-522	2	1	electric	electric	PROPN
cuesj-522	2	2	also	also	ADV
cuesj-522	2	3	is	be	AUX
cuesj-522	2	4	not	not	PART
cuesj-522	2	5	freely	freely	ADV
cuesj-522	2	6	accessible	accessible	ADJ
cuesj-522	2	7	in	in	ADP
cuesj-522	2	8	environment	environment	NOUN
cuesj-522	2	9	,	,	PUNCT
cuesj-522	2	10	thus	thus	ADV
cuesj-522	2	11	it	it	PRON
cuesj-522	2	12	should	should	AUX
cuesj-522	2	13	be	be	AUX
cuesj-522	2	14	“	"	PUNCT
cuesj-522	2	15	manufactured	manufacture	VERB
cuesj-522	2	16	”	"	PUNCT
cuesj-522	2	17	(	(	PUNCT
cuesj-522	2	18	i.e.	i.e.	X
cuesj-522	2	19	,	,	PUNCT
cuesj-522	2	20	converting	convert	VERB
cuesj-522	2	21	another	another	DET
cuesj-522	2	22	kinds	kind	NOUN
cuesj-522	2	23	of	of	ADP
cuesj-522	2	24	energy	energy	NOUN
cuesj-522	2	25	to	to	ADP
cuesj-522	2	26	electrical	electrical	ADJ
cuesj-522	2	27	energy	energy	NOUN
cuesj-522	2	28	)	)	PUNCT
cuesj-522	2	29	by	by	ADP
cuesj-522	2	30	utilities	utility	NOUN
cuesj-522	2	31	with	with	ADP
cuesj-522	2	32	in	in	ADP
cuesj-522	2	33	electricity	electricity	NOUN
cuesj-522	2	34	industry	industry	NOUN
cuesj-522	2	35	(	(	PUNCT
cuesj-522	2	36	transportation	transportation	NOUN
cuesj-522	2	37	,	,	PUNCT
cuesj-522	2	38	distributing	distribute	VERB
cuesj-522	2	39	,	,	PUNCT
cuesj-522	2	40	and	and	CCONJ
cuesj-522	2	41	so	so	ADV
cuesj-522	2	42	on	on	ADV
cuesj-522	2	43	)	)	PUNCT
cuesj-522	2	44	.	.	PUNCT
cuesj-522	3	1	moreover	moreover	ADV
cuesj-522	3	2	,	,	PUNCT
cuesj-522	3	3	the	the	DET
cuesj-522	3	4	objective	objective	NOUN
cuesj-522	3	5	of	of	ADP
cuesj-522	3	6	this	this	DET
cuesj-522	3	7	study	study	NOUN
cuesj-522	3	8	is	be	AUX
cuesj-522	3	9	to	to	AUX
cuesj-522	3	10	compared	compare	VERB
cuesj-522	3	11	of	of	ADP
cuesj-522	3	12	brown	brown	PROPN
cuesj-522	3	13	’s	’s	NOUN
cuesj-522	3	14	as	as	ADV
cuesj-522	3	15	well	well	ADV
cuesj-522	3	16	as	as	ADP
cuesj-522	3	17	holt	holt	PROPN
cuesj-522	3	18	’s	’s	PART
cuesj-522	3	19	double	double	ADJ
cuesj-522	3	20	exponential	exponential	ADJ
cuesj-522	3	21	smoothing	smoothing	NOUN
cuesj-522	3	22	(	(	PUNCT
cuesj-522	3	23	des	de	NOUN
cuesj-522	3	24	)	)	PUNCT
cuesj-522	3	25	also	also	ADV
cuesj-522	3	26	build	build	VERB
cuesj-522	3	27	a	a	DET
cuesj-522	3	28	best	good	ADJ
cuesj-522	3	29	forecasting	forecasting	NOUN
cuesj-522	3	30	time	time	NOUN
cuesj-522	3	31	series	series	PROPN
cuesj-522	3	32	model	model	NOUN
cuesj-522	3	33	among	among	ADP
cuesj-522	3	34	two	two	NUM
cuesj-522	3	35	smoothing	smoothing	NOUN
cuesj-522	3	36	model	model	NOUN
cuesj-522	3	37	forecasting	forecasting	NOUN
cuesj-522	3	38	,	,	PUNCT
cuesj-522	3	39	as	as	ADV
cuesj-522	3	40	well	well	ADV
cuesj-522	3	41	as	as	ADP
cuesj-522	3	42	focuses	focus	VERB
cuesj-522	3	43	on	on	ADP
cuesj-522	3	44	optimizing	optimize	VERB
cuesj-522	3	45	characteristics	characteristic	NOUN
cuesj-522	3	46	to	to	PART
cuesj-522	3	47	use	use	VERB
cuesj-522	3	48	the	the	DET
cuesj-522	3	49	golden	golden	ADJ
cuesj-522	3	50	section	section	NOUN
cuesj-522	3	51	technique	technique	NOUN
cuesj-522	3	52	.	.	PUNCT
cuesj-522	4	1	this	this	DET
cuesj-522	4	2	exponential	exponential	ADJ
cuesj-522	4	3	smoothing	smoothing	NOUN
cuesj-522	4	4	approach	approach	NOUN
cuesj-522	4	5	has	have	AUX
cuesj-522	4	6	been	be	AUX
cuesj-522	4	7	one	one	NUM
cuesj-522	4	8	of	of	ADP
cuesj-522	4	9	the	the	DET
cuesj-522	4	10	time	time	NOUN
cuesj-522	4	11	series	series	PROPN
cuesj-522	4	12	forecasting	forecasting	NOUN
cuesj-522	4	13	methods	method	NOUN
cuesj-522	4	14	that	that	PRON
cuesj-522	4	15	would	would	AUX
cuesj-522	4	16	be	be	AUX
cuesj-522	4	17	used	use	VERB
cuesj-522	4	18	to	to	PART
cuesj-522	4	19	forecast	forecast	VERB
cuesj-522	4	20	(	(	PUNCT
cuesj-522	4	21	generation	generation	NOUN
cuesj-522	4	22	electrical	electrical	ADJ
cuesj-522	4	23	)	)	PUNCT
cuesj-522	4	24	with	with	ADP
cuesj-522	4	25	in	in	ADP
cuesj-522	4	26	kurdistan	kurdistan	PROPN
cuesj-522	4	27	area	area	NOUN
cuesj-522	4	28	.	.	PUNCT
cuesj-522	5	1	the	the	DET
cuesj-522	5	2	issue	issue	NOUN
cuesj-522	5	3	that	that	PRON
cuesj-522	5	4	arises	arise	VERB
cuesj-522	5	5	with	with	ADP
cuesj-522	5	6	this	this	DET
cuesj-522	5	7	technique	technique	NOUN
cuesj-522	5	8	is	be	AUX
cuesj-522	5	9	determining	determine	VERB
cuesj-522	5	10	the	the	DET
cuesj-522	5	11	appropriate	appropriate	ADJ
cuesj-522	5	12	parameters	parameter	NOUN
cuesj-522	5	13	to	to	PART
cuesj-522	5	14	reduce	reduce	VERB
cuesj-522	5	15	predict	predict	VERB
cuesj-522	5	16	inaccuracy	inaccuracy	NOUN
cuesj-522	5	17	.	.	PUNCT
cuesj-522	6	1	in	in	ADP
cuesj-522	6	2	addition	addition	NOUN
cuesj-522	6	3	,	,	PUNCT
cuesj-522	6	4	data	datum	NOUN
cuesj-522	6	5	used	use	VERB
cuesj-522	6	6	in	in	ADP
cuesj-522	6	7	this	this	DET
cuesj-522	6	8	paper	paper	NOUN
cuesj-522	6	9	are	be	AUX
cuesj-522	6	10	(	(	PUNCT
cuesj-522	6	11	generation	generation	NOUN
cuesj-522	6	12	electrical	electrical	ADJ
cuesj-522	6	13	)	)	PUNCT
cuesj-522	6	14	in	in	ADP
cuesj-522	6	15	kurdistan	kurdistan	ADJ
cuesj-522	6	16	region	region	NOUN
cuesj-522	6	17	for	for	ADP
cuesj-522	6	18	(	(	PUNCT
cuesj-522	6	19	132	132	NUM
cuesj-522	6	20	)	)	PUNCT
cuesj-522	6	21	months	month	NOUN
cuesj-522	6	22	from	from	ADP
cuesj-522	6	23	2010	2010	NUM
cuesj-522	6	24	to	to	ADP
cuesj-522	6	25	2020	2020	NUM
cuesj-522	6	26	.	.	PUNCT
cuesj-522	7	1	the	the	DET
cuesj-522	7	2	study	study	NOUN
cuesj-522	7	3	revealed	reveal	VERB
cuesj-522	7	4	that	that	SCONJ
cuesj-522	7	5	such	such	ADJ
cuesj-522	7	6	data	datum	NOUN
cuesj-522	7	7	are	be	AUX
cuesj-522	7	8	trending	trend	VERB
cuesj-522	7	9	modeled	model	VERB
cuesj-522	7	10	,	,	PUNCT
cuesj-522	7	11	indicating	indicate	VERB
cuesj-522	7	12	that	that	SCONJ
cuesj-522	7	13	a	a	DET
cuesj-522	7	14	des	des	X
cuesj-522	7	15	approach	approach	NOUN
cuesj-522	7	16	from	from	ADP
cuesj-522	7	17	brown	brown	PROPN
cuesj-522	7	18	and	and	CCONJ
cuesj-522	7	19	holt	holt	PROPN
cuesj-522	7	20	can	can	AUX
cuesj-522	7	21	be	be	AUX
cuesj-522	7	22	used	use	VERB
cuesj-522	7	23	with	with	ADP
cuesj-522	7	24	the	the	DET
cuesj-522	7	25	(	(	PUNCT
cuesj-522	7	26	stratigraphic	stratigraphic	ADJ
cuesj-522	7	27	and	and	CCONJ
cuesj-522	7	28	minitab	minitab	PROPN
cuesj-522	7	29	)	)	PUNCT
cuesj-522	7	30	software	software	NOUN
cuesj-522	7	31	.	.	PUNCT
cuesj-522	8	1	there	there	PRON
cuesj-522	8	2	are	be	VERB
cuesj-522	8	3	the	the	DET
cuesj-522	8	4	same	same	ADJ
cuesj-522	8	5	results	result	NOUN
cuesj-522	8	6	but	but	CCONJ
cuesj-522	8	7	the	the	DET
cuesj-522	8	8	result	result	NOUN
cuesj-522	8	9	of	of	ADP
cuesj-522	8	10	analysis	analysis	NOUN
cuesj-522	8	11	more	more	ADV
cuesj-522	8	12	depend	depend	VERB
cuesj-522	8	13	on	on	ADP
cuesj-522	8	14	the	the	DET
cuesj-522	8	15	r	r	NOUN
cuesj-522	8	16	-	-	NOUN
cuesj-522	8	17	program	program	NOUN
cuesj-522	8	18	.	.	PUNCT
cuesj-522	9	1	the	the	DET
cuesj-522	9	2	difference	difference	NOUN
cuesj-522	9	3	among	among	ADP
cuesj-522	9	4	the	the	DET
cuesj-522	9	5	forecast	forecast	NOUN
cuesj-522	9	6	findings	finding	NOUN
cuesj-522	9	7	acquired	acquire	VERB
cuesj-522	9	8	with	with	ADP
cuesj-522	9	9	optimum	optimum	ADJ
cuesj-522	9	10	parameters	parameter	NOUN
cuesj-522	9	11	as	as	ADV
cuesj-522	9	12	well	well	ADV
cuesj-522	9	13	as	as	ADP
cuesj-522	9	14	the	the	DET
cuesj-522	9	15	assaying	assay	VERB
cuesj-522	9	16	data	datum	NOUN
cuesj-522	9	17	was	be	AUX
cuesj-522	9	18	utilized	utilize	VERB
cuesj-522	9	19	to	to	PART
cuesj-522	9	20	assess	assess	VERB
cuesj-522	9	21	the	the	DET
cuesj-522	9	22	feasibility	feasibility	NOUN
cuesj-522	9	23	of	of	ADP
cuesj-522	9	24	the	the	DET
cuesj-522	9	25	forecast	forecast	NOUN
cuesj-522	9	26	by	by	ADP
cuesj-522	9	27	completing	complete	VERB
cuesj-522	9	28	normality	normality	NOUN
cuesj-522	9	29	and	and	CCONJ
cuesj-522	9	30	randomness	randomness	NOUN
cuesj-522	9	31	tests	test	NOUN
cuesj-522	9	32	.	.	PUNCT
cuesj-522	10	1	ultimately	ultimately	ADV
cuesj-522	10	2	,	,	PUNCT
cuesj-522	10	3	the	the	DET
cuesj-522	10	4	outcomes	outcome	NOUN
cuesj-522	10	5	of	of	ADP
cuesj-522	10	6	parameterization	parameterization	NOUN
cuesj-522	10	7	show	show	VERB
cuesj-522	10	8	that	that	SCONJ
cuesj-522	10	9	the	the	DET
cuesj-522	10	10	optimal	optimal	ADJ
cuesj-522	10	11	value	value	NOUN
cuesj-522	10	12	of	of	ADP
cuesj-522	10	13	α	α	PRON
cuesj-522	10	14	that	that	SCONJ
cuesj-522	10	15	in	in	ADP
cuesj-522	10	16	des	des	PROPN
cuesj-522	10	17	brown	brown	PROPN
cuesj-522	10	18	is	be	AUX
cuesj-522	10	19	(	(	PUNCT
cuesj-522	10	20	0.22	0.22	NUM
cuesj-522	10	21	)	)	PUNCT
cuesj-522	10	22	as	as	ADV
cuesj-522	10	23	well	well	ADV
cuesj-522	10	24	as	as	ADP
cuesj-522	10	25	the	the	DET
cuesj-522	10	26	optimal	optimal	ADJ
cuesj-522	10	27	mape	mape	NOUN
cuesj-522	10	28	is	be	AUX
cuesj-522	10	29	9.23616	9.23616	NUM
cuesj-522	10	30	%	%	NOUN
cuesj-522	10	31	,	,	PUNCT
cuesj-522	10	32	whereas	whereas	SCONJ
cuesj-522	10	33	in	in	ADP
cuesj-522	10	34	des	des	PROPN
cuesj-522	10	35	holt	holt	PROPN
cuesj-522	10	36	the	the	DET
cuesj-522	10	37	optimal	optimal	ADJ
cuesj-522	10	38	is	be	AUX
cuesj-522	10	39	(	(	PUNCT
cuesj-522	10	40	0.95	0.95	NUM
cuesj-522	10	41	)	)	PUNCT
cuesj-522	10	42	as	as	ADV
cuesj-522	10	43	well	well	ADV
cuesj-522	10	44	as	as	ADP
cuesj-522	10	45	the	the	DET
cuesj-522	10	46	optimal	optimal	ADJ
cuesj-522	10	47	β	β	X
cuesj-522	10	48	is	be	AUX
cuesj-522	10	49	(	(	PUNCT
cuesj-522	10	50	0.05	0.05	NUM
cuesj-522	10	51	)	)	PUNCT
cuesj-522	10	52	through	through	ADP
cuesj-522	10	53	the	the	DET
cuesj-522	10	54	optimal	optimal	ADJ
cuesj-522	10	55	mape	mape	NOUN
cuesj-522	10	56	of	of	ADP
cuesj-522	10	57	8.08586	8.08586	NUM
cuesj-522	10	58	%	%	NOUN
cuesj-522	10	59	.	.	PUNCT
cuesj-522	11	1	this	this	DET
cuesj-522	11	2	mape	mape	NOUN
cuesj-522	11	3	of	of	ADP
cuesj-522	11	4	a	a	DET
cuesj-522	11	5	des	des	X
cuesj-522	11	6	brown	brown	NOUN
cuesj-522	11	7	technique	technique	NOUN
cuesj-522	11	8	is	be	AUX
cuesj-522	11	9	greater	great	ADJ
cuesj-522	11	10	than	than	ADP
cuesj-522	11	11	the	the	DET
cuesj-522	11	12	mape	mape	NOUN
cuesj-522	11	13	of	of	ADP
cuesj-522	11	14	a	a	DET
cuesj-522	11	15	des	des	PROPN
cuesj-522	11	16	holt	holt	PROPN
cuesj-522	11	17	approach	approach	NOUN
cuesj-522	11	18	.	.	PUNCT
cuesj-522	12	1	feasibility	feasibility	NOUN
cuesj-522	12	2	experiments	experiment	NOUN
cuesj-522	12	3	revealed	reveal	VERB
cuesj-522	12	4	that	that	SCONJ
cuesj-522	12	5	both	both	DET
cuesj-522	12	6	approaches	approach	NOUN
cuesj-522	12	7	are	be	AUX
cuesj-522	12	8	capable	capable	ADJ
cuesj-522	12	9	of	of	ADP
cuesj-522	12	10	predicting	predict	VERB
cuesj-522	12	11	.	.	PUNCT
cuesj-522	13	1	depending	depend	VERB
cuesj-522	13	2	on	on	ADP
cuesj-522	13	3	the	the	DET
cuesj-522	13	4	value	value	NOUN
cuesj-522	13	5	of	of	ADP
cuesj-522	13	6	mape	mape	NOUN
cuesj-522	13	7	as	as	ADV
cuesj-522	13	8	well	well	ADV
cuesj-522	13	9	as	as	ADP
cuesj-522	13	10	evaluation	evaluation	NOUN
cuesj-522	13	11	process	process	NOUN
cuesj-522	13	12	,	,	PUNCT
cuesj-522	13	13	des	des	PROPN
cuesj-522	13	14	holt	holt	PROPN
cuesj-522	13	15	’s	’s	PART
cuesj-522	13	16	was	be	AUX
cuesj-522	13	17	recognized	recognize	VERB
cuesj-522	13	18	as	as	ADP
cuesj-522	13	19	the	the	DET
cuesj-522	13	20	main	main	ADJ
cuesj-522	13	21	prediction	prediction	NOUN
cuesj-522	13	22	model	model	NOUN
cuesj-522	13	23	.	.	PUNCT
cuesj-522	14	1	keywords	keyword	NOUN
cuesj-522	14	2	:	:	PUNCT
cuesj-522	14	3	generation	generation	NOUN
cuesj-522	14	4	electrical	electrical	ADJ
cuesj-522	14	5	,	,	PUNCT
cuesj-522	14	6	energies	energy	NOUN
cuesj-522	14	7	,	,	PUNCT
cuesj-522	14	8	double	double	ADJ
cuesj-522	14	9	exponential	exponential	ADJ
cuesj-522	14	10	smoothing	smoothing	NOUN
cuesj-522	14	11	parameter	parameter	NOUN
cuesj-522	14	12	optimization	optimization	NOUN
cuesj-522	14	13	,	,	PUNCT
cuesj-522	14	14	electricity	electricity	NOUN
cuesj-522	14	15	production	production	NOUN
cuesj-522	14	16	introduction	introduction	NOUN
cuesj-522	14	17	the	the	DET
cuesj-522	14	18	method	method	NOUN
cuesj-522	14	19	of	of	ADP
cuesj-522	14	20	constructing	construct	VERB
cuesj-522	14	21	electric	electric	ADJ
cuesj-522	14	22	power	power	NOUN
cuesj-522	14	23	from	from	ADP
cuesj-522	14	24	various	various	ADJ
cuesj-522	14	25	forms	form	NOUN
cuesj-522	14	26	of	of	ADP
cuesj-522	14	27	energy	energy	NOUN
cuesj-522	14	28	production	production	NOUN
cuesj-522	14	29	is	be	AUX
cuesj-522	14	30	known	know	VERB
cuesj-522	14	31	as	as	ADP
cuesj-522	14	32	electricity	electricity	NOUN
cuesj-522	14	33	production	production	NOUN
cuesj-522	14	34	.	.	PUNCT
cuesj-522	15	1	the	the	DET
cuesj-522	15	2	kurdistan	kurdistan	PROPN
cuesj-522	15	3	region	region	PROPN
cuesj-522	15	4	local	local	ADJ
cuesj-522	15	5	generation	generation	NOUN
cuesj-522	15	6	are	be	AUX
cuesj-522	15	7	hydro	hydro	NOUN
cuesj-522	15	8	power	power	NOUN
cuesj-522	15	9	station	station	NOUN
cuesj-522	15	10	,	,	PUNCT
cuesj-522	15	11	gas	gas	NOUN
cuesj-522	15	12	power	power	NOUN
cuesj-522	15	13	plant	plant	NOUN
cuesj-522	15	14	(	(	PUNCT
cuesj-522	15	15	pp	pp	ADJ
cuesj-522	15	16	)	)	PUNCT
cuesj-522	15	17	,	,	PUNCT
cuesj-522	15	18	steam	steam	NOUN
cuesj-522	15	19	pp	pp	NOUN
cuesj-522	15	20	,	,	PUNCT
cuesj-522	15	21	heavy	heavy	ADJ
cuesj-522	15	22	feul	feul	PROPN
cuesj-522	15	23	pp	pp	PROPN
cuesj-522	15	24	,	,	PUNCT
cuesj-522	15	25	deisel	deisel	PROPN
cuesj-522	15	26	pp	pp	PROPN
cuesj-522	15	27	,	,	PUNCT
cuesj-522	15	28	erbil	erbil	PROPN
cuesj-522	15	29	combined	combine	VERB
cuesj-522	15	30	cycle	cycle	NOUN
cuesj-522	15	31	pp	pp	ADP
cuesj-522	15	32	,	,	PUNCT
cuesj-522	15	33	and	and	CCONJ
cuesj-522	15	34	suly	suly	ADV
cuesj-522	15	35	combined	combine	VERB
cuesj-522	15	36	cycle	cycle	NOUN
cuesj-522	15	37	pp	pp	ADV
cuesj-522	15	38	and	and	CCONJ
cuesj-522	15	39	thermal	thermal	ADJ
cuesj-522	15	40	.	.	PUNCT
cuesj-522	16	1	to	to	PART
cuesj-522	16	2	estimate	estimate	VERB
cuesj-522	16	3	the	the	DET
cuesj-522	16	4	forecasting	forecasting	NOUN
cuesj-522	16	5	applied	apply	VERB
cuesj-522	16	6	generation	generation	NOUN
cuesj-522	16	7	electrical	electrical	ADJ
cuesj-522	16	8	energies	energy	NOUN
cuesj-522	16	9	in	in	ADP
cuesj-522	16	10	kurdistan	kurdistan	PROPN
cuesj-522	16	11	region	region	NOUN
cuesj-522	16	12	,	,	PUNCT
cuesj-522	16	13	a	a	DET
cuesj-522	16	14	(	(	PUNCT
cuesj-522	16	15	brown	brown	PROPN
cuesj-522	16	16	’s	’s	NOUN
cuesj-522	16	17	and	and	CCONJ
cuesj-522	16	18	holt	holt	PROPN
cuesj-522	16	19	’s	’s	PART
cuesj-522	16	20	)	)	PUNCT
cuesj-522	16	21	double	double	ADJ
cuesj-522	16	22	exponential	exponential	NOUN
cuesj-522	16	23	smoothing	smoothing	NOUN
cuesj-522	16	24	(	(	PUNCT
cuesj-522	16	25	des	des	PROPN
cuesj-522	16	26	)	)	PUNCT
cuesj-522	16	27	approaches	approach	NOUN
cuesj-522	16	28	would	would	AUX
cuesj-522	16	29	be	be	AUX
cuesj-522	16	30	created	create	VERB
cuesj-522	16	31	as	as	ADV
cuesj-522	16	32	well	well	ADV
cuesj-522	16	33	as	as	ADP
cuesj-522	16	34	contrasted	contrast	VERB
cuesj-522	16	35	to	to	PART
cuesj-522	16	36	see	see	VERB
cuesj-522	16	37	that	that	DET
cuesj-522	16	38	methodology	methodology	NOUN
cuesj-522	16	39	is	be	AUX
cuesj-522	16	40	superior	superior	ADJ
cuesj-522	16	41	for	for	ADP
cuesj-522	16	42	forecasting	forecasting	NOUN
cuesj-522	16	43	generation	generation	NOUN
cuesj-522	16	44	electrical	electrical	ADJ
cuesj-522	16	45	energies	energy	NOUN
cuesj-522	16	46	in	in	ADP
cuesj-522	16	47	kurdistan	kurdistan	PROPN
cuesj-522	16	48	.	.	PUNCT
cuesj-522	17	1	furthermore	furthermore	ADV
cuesj-522	17	2	,	,	PUNCT
cuesj-522	17	3	there	there	PRON
cuesj-522	17	4	was	be	VERB
cuesj-522	17	5	usually	usually	ADV
cuesj-522	17	6	a	a	DET
cuesj-522	17	7	timing	timing	NOUN
cuesj-522	17	8	lag	lag	NOUN
cuesj-522	17	9	among	among	ADP
cuesj-522	17	10	awareness	awareness	NOUN
cuesj-522	17	11	of	of	ADP
cuesj-522	17	12	the	the	DET
cuesj-522	17	13	imminent	imminent	ADJ
cuesj-522	17	14	event	event	NOUN
cuesj-522	17	15	or	or	CCONJ
cuesj-522	17	16	necessity	necessity	NOUN
cuesj-522	17	17	also	also	ADV
cuesj-522	17	18	its	its	PRON
cuesj-522	17	19	manifestation	manifestation	NOUN
cuesj-522	17	20	.	.	PUNCT
cuesj-522	18	1	the	the	DET
cuesj-522	18	2	fundamental	fundamental	ADJ
cuesj-522	18	3	reason	reason	NOUN
cuesj-522	18	4	for	for	ADP
cuesj-522	18	5	planning	planning	NOUN
cuesj-522	18	6	as	as	ADV
cuesj-522	18	7	well	well	ADV
cuesj-522	18	8	as	as	ADP
cuesj-522	18	9	predicting	predict	VERB
cuesj-522	18	10	is	be	AUX
cuesj-522	18	11	to	to	PART
cuesj-522	18	12	account	account	VERB
cuesj-522	18	13	for	for	ADP
cuesj-522	18	14	this	this	DET
cuesj-522	18	15	advance	advance	NOUN
cuesj-522	18	16	time	time	NOUN
cuesj-522	18	17	.	.	PUNCT
cuesj-522	19	1	there	there	PRON
cuesj-522	19	2	was	be	VERB
cuesj-522	19	3	not	not	PART
cuesj-522	19	4	need	need	NOUN
cuesj-522	19	5	for	for	ADP
cuesj-522	19	6	the	the	DET
cuesj-522	19	7	planning	planning	NOUN
cuesj-522	19	8	when	when	SCONJ
cuesj-522	19	9	the	the	DET
cuesj-522	19	10	lead	lead	ADJ
cuesj-522	19	11	time	time	NOUN
cuesj-522	19	12	is	be	AUX
cuesj-522	19	13	nil	nil	ADJ
cuesj-522	19	14	or	or	CCONJ
cuesj-522	19	15	pretty	pretty	ADV
cuesj-522	19	16	limited	limited	ADJ
cuesj-522	19	17	.	.	PUNCT
cuesj-522	20	1	if	if	SCONJ
cuesj-522	20	2	indeed	indeed	ADV
cuesj-522	20	3	a	a	DET
cuesj-522	20	4	lead	lead	ADJ
cuesj-522	20	5	time	time	NOUN
cuesj-522	20	6	was	be	AUX
cuesj-522	20	7	considerable	considerable	ADJ
cuesj-522	20	8	as	as	ADV
cuesj-522	20	9	well	well	ADV
cuesj-522	20	10	as	as	ADP
cuesj-522	20	11	the	the	DET
cuesj-522	20	12	event	event	NOUN
cuesj-522	20	13	’s	’s	PART
cuesj-522	20	14	outcome	outcome	NOUN
cuesj-522	20	15	was	be	AUX
cuesj-522	20	16	dependent	dependent	ADJ
cuesj-522	20	17	on	on	ADP
cuesj-522	20	18	definable	definable	ADJ
cuesj-522	20	19	variables	variable	NOUN
cuesj-522	20	20	,	,	PUNCT
cuesj-522	20	21	planning	planning	NOUN
cuesj-522	20	22	could	could	AUX
cuesj-522	20	23	play	play	VERB
cuesj-522	20	24	a	a	DET
cuesj-522	20	25	major	major	ADJ
cuesj-522	20	26	role	role	NOUN
cuesj-522	20	27	.	.	PUNCT
cuesj-522	21	1	prediction	prediction	NOUN
cuesj-522	21	2	is	be	AUX
cuesj-522	21	3	required	require	VERB
cuesj-522	21	4	in	in	ADP
cuesj-522	21	5	these	these	DET
cuesj-522	21	6	contexts	context	NOUN
cuesj-522	21	7	to	to	PART
cuesj-522	21	8	assess	assess	VERB
cuesj-522	21	9	while	while	SCONJ
cuesj-522	21	10	the	the	DET
cuesj-522	21	11	event	event	NOUN
cuesj-522	21	12	would	would	AUX
cuesj-522	21	13	happen	happen	VERB
cuesj-522	21	14	or	or	CCONJ
cuesj-522	21	15	the	the	DET
cuesj-522	21	16	need	need	NOUN
cuesj-522	21	17	may	may	AUX
cuesj-522	21	18	arise	arise	VERB
cuesj-522	21	19	,	,	PUNCT
cuesj-522	21	20	because	because	SCONJ
cuesj-522	21	21	as	as	SCONJ
cuesj-522	21	22	appropriate	appropriate	ADJ
cuesj-522	21	23	steps	step	NOUN
cuesj-522	21	24	could	could	AUX
cuesj-522	21	25	be	be	AUX
cuesj-522	21	26	taken	take	VERB
cuesj-522	21	27	.	.	PUNCT
cuesj-522	22	1	furthermore	furthermore	ADV
cuesj-522	22	2	,	,	PUNCT
cuesj-522	22	3	predicting	predict	VERB
cuesj-522	22	4	the	the	DET
cuesj-522	22	5	future	future	NOUN
cuesj-522	22	6	is	be	AUX
cuesj-522	22	7	a	a	DET
cuesj-522	22	8	planning	planning	NOUN
cuesj-522	22	9	method	method	NOUN
cuesj-522	22	10	created	create	VERB
cuesj-522	22	11	to	to	PART
cuesj-522	22	12	assist	assist	VERB
cuesj-522	22	13	management	management	NOUN
cuesj-522	22	14	in	in	ADP
cuesj-522	22	15	meeting	meet	VERB
cuesj-522	22	16	the	the	DET
cuesj-522	22	17	uncertainty	uncertainty	NOUN
cuesj-522	22	18	of	of	ADP
cuesj-522	22	19	a	a	DET
cuesj-522	22	20	future	future	NOUN
cuesj-522	22	21	relied	rely	VERB
cuesj-522	22	22	on	on	ADP
cuesj-522	22	23	previous	previous	ADJ
cuesj-522	22	24	data	datum	NOUN
cuesj-522	22	25	as	as	ADV
cuesj-522	22	26	well	well	ADV
cuesj-522	22	27	as	as	ADP
cuesj-522	22	28	predictive	predictive	ADJ
cuesj-522	22	29	modeling	modeling	NOUN
cuesj-522	22	30	.	.	PUNCT
cuesj-522	23	1	prediction	prediction	NOUN
cuesj-522	23	2	is	be	AUX
cuesj-522	23	3	the	the	DET
cuesj-522	23	4	science	science	NOUN
cuesj-522	23	5	and	and	CCONJ
cuesj-522	23	6	art	art	NOUN
cuesj-522	23	7	of	of	ADP
cuesj-522	23	8	forecasting	forecast	VERB
cuesj-522	23	9	the	the	DET
cuesj-522	23	10	future	future	ADJ
cuesj-522	23	11	developments	development	NOUN
cuesj-522	23	12	by	by	ADP
cuesj-522	23	13	utilizing	utilize	VERB
cuesj-522	23	14	past	past	ADJ
cuesj-522	23	15	data	datum	NOUN
cuesj-522	23	16	as	as	ADV
cuesj-522	23	17	well	well	ADV
cuesj-522	23	18	as	as	ADP
cuesj-522	23	19	projected	project	VERB
cuesj-522	23	20	this	this	PRON
cuesj-522	23	21	into	into	ADP
cuesj-522	23	22	the	the	DET
cuesj-522	23	23	future	future	NOUN
cuesj-522	23	24	with	with	ADP
cuesj-522	23	25	the	the	DET
cuesj-522	23	26	use	use	NOUN
cuesj-522	23	27	of	of	ADP
cuesj-522	23	28	a	a	DET
cuesj-522	23	29	systematic	systematic	ADJ
cuesj-522	23	30	method	method	NOUN
cuesj-522	23	31	model	model	NOUN
cuesj-522	23	32	.	.	PUNCT
cuesj-522	24	1	corresponding	correspond	VERB
cuesj-522	24	2	author	author	NOUN
cuesj-522	24	3	:	:	PUNCT
cuesj-522	24	4	ameera	ameera	PROPN
cuesj-522	24	5	w.	w.	PROPN
cuesj-522	24	6	omer	omer	PROPN
cuesj-522	24	7	,	,	PUNCT
cuesj-522	24	8	department	department	NOUN
cuesj-522	24	9	of	of	ADP
cuesj-522	24	10	statistics	statistic	NOUN
cuesj-522	24	11	,	,	PUNCT
cuesj-522	24	12	college	college	NOUN
cuesj-522	24	13	of	of	ADP
cuesj-522	24	14	administration	administration	NOUN
cuesj-522	24	15	and	and	CCONJ
cuesj-522	24	16	economics	economic	NOUN
cuesj-522	24	17	,	,	PUNCT
cuesj-522	24	18	salahaddin	salahaddin	VERB
cuesj-522	24	19	university	university	NOUN
cuesj-522	24	20	-	-	PUNCT
cuesj-522	24	21	erbil	erbil	PROPN
cuesj-522	24	22	,	,	PUNCT
cuesj-522	24	23	kurdistan	kurdistan	PROPN
cuesj-522	24	24	region	region	PROPN
cuesj-522	24	25	f.r	f.r	PROPN
cuesj-522	24	26	.	.	PUNCT
cuesj-522	24	27	iraq	iraq	PROPN
cuesj-522	24	28	.	.	PUNCT
cuesj-522	25	1	e	e	X
cuesj-522	25	2	-	-	NOUN
cuesj-522	25	3	mail	mail	NOUN
cuesj-522	25	4	:	:	PUNCT
cuesj-522	25	5	amira.omer@su.edu.krd	amira.omer@su.edu.krd	NOUN
cuesj-522	25	6	received	receive	VERB
cuesj-522	25	7	:	:	PUNCT
cuesj-522	25	8	october	october	PROPN
cuesj-522	25	9	22	22	NUM
cuesj-522	25	10	,	,	PUNCT
cuesj-522	25	11	2021	2021	NUM
cuesj-522	25	12	accepted	accept	VERB
cuesj-522	25	13	:	:	PUNCT
cuesj-522	25	14	november	november	PROPN
cuesj-522	25	15	13	13	NUM
cuesj-522	25	16	,	,	PUNCT
cuesj-522	25	17	2021	2021	NUM
cuesj-522	25	18	published	publish	VERB
cuesj-522	25	19	:	:	PUNCT
cuesj-522	25	20	november	november	PROPN
cuesj-522	25	21	30	30	NUM
cuesj-522	25	22	,	,	PUNCT
cuesj-522	25	23	2021	2021	NUM
cuesj-522	25	24	doi	doi	NOUN
cuesj-522	25	25	:	:	PUNCT
cuesj-522	25	26	10.24086	10.24086	NUM
cuesj-522	25	27	/	/	SYM
cuesj-522	25	28	cuesj.v5n2y2021.pp56	cuesj.v5n2y2021.pp56	NUM
cuesj-522	25	29	-	-	SYM
cuesj-522	25	30	63	63	NUM
cuesj-522	25	31	copyright	copyright	NOUN
cuesj-522	25	32	©	©	ADP
cuesj-522	25	33	2021	2021	NUM
cuesj-522	25	34	ameera	ameera	PROPN
cuesj-522	25	35	w.	w.	PROPN
cuesj-522	25	36	omer	omer	PROPN
cuesj-522	25	37	,	,	PUNCT
cuesj-522	25	38	hazhar	hazhar	VERB
cuesj-522	25	39	t.	t.	PROPN
cuesj-522	25	40	a.	a.	PROPN
cuesj-522	25	41	blbas	blbas	PROPN
cuesj-522	25	42	,	,	PUNCT
cuesj-522	25	43	dler	dler	NOUN
cuesj-522	25	44	h.	h.	PROPN
cuesj-522	25	45	kadir	kadir	PROPN
cuesj-522	25	46	.	.	PUNCT
cuesj-522	26	1	this	this	PRON
cuesj-522	26	2	is	be	AUX
cuesj-522	26	3	an	an	DET
cuesj-522	26	4	open	open	ADJ
cuesj-522	26	5	-	-	PUNCT
cuesj-522	26	6	access	access	NOUN
cuesj-522	26	7	article	article	NOUN
cuesj-522	26	8	distributed	distribute	VERB
cuesj-522	26	9	under	under	ADP
cuesj-522	26	10	the	the	DET
cuesj-522	26	11	creative	creative	ADJ
cuesj-522	26	12	commons	common	NOUN
cuesj-522	26	13	attribution	attribution	NOUN
cuesj-522	26	14	license	license	NOUN
cuesj-522	26	15	(	(	PUNCT
cuesj-522	26	16	cc	cc	NOUN
cuesj-522	26	17	by	by	ADP
cuesj-522	26	18	-	-	PUNCT
cuesj-522	26	19	nc	nc	VERB
cuesj-522	26	20	-	-	PROPN
cuesj-522	26	21	nd	nd	PRON
cuesj-522	26	22	4.0	4.0	NUM
cuesj-522	26	23	)	)	PUNCT
cuesj-522	26	24	.	.	PUNCT
cuesj-522	27	1	cihan	cihan	VERB
cuesj-522	27	2	university	university	NOUN
cuesj-522	27	3	-	-	PUNCT
cuesj-522	27	4	erbil	erbil	PROPN
cuesj-522	27	5	scientific	scientific	ADJ
cuesj-522	27	6	journal	journal	NOUN
cuesj-522	27	7	(	(	PUNCT
cuesj-522	27	8	cuesj	cuesj	PROPN
cuesj-522	27	9	)	)	PUNCT
cuesj-522	27	10	omer	omer	PROPN
cuesj-522	27	11	,	,	PUNCT
cuesj-522	27	12	et	et	PROPN
cuesj-522	27	13	al	al	PROPN
cuesj-522	27	14	.	.	PROPN
cuesj-522	27	15	:	:	PUNCT
cuesj-522	28	1	brown	brown	PROPN
cuesj-522	28	2	’s	’s	PART
cuesj-522	28	3	and	and	CCONJ
cuesj-522	28	4	holt	holt	PROPN
cuesj-522	28	5	’s	’s	PART
cuesj-522	28	6	double	double	ADJ
cuesj-522	28	7	exponential	exponential	NOUN
cuesj-522	28	8	smoothing	smooth	VERB
cuesj-522	28	9	57	57	NUM
cuesj-522	28	10	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-522	28	11	cuesj	cuesj	ADJ
cuesj-522	28	12	2021	2021	NUM
cuesj-522	28	13	,	,	PUNCT
cuesj-522	28	14	5	5	NUM
cuesj-522	28	15	(	(	PUNCT
cuesj-522	28	16	2	2	NUM
cuesj-522	28	17	):	):	PUNCT
cuesj-522	28	18	56	56	NUM
cuesj-522	28	19	-	-	SYM
cuesj-522	28	20	63	63	NUM
cuesj-522	28	21	forecasting	forecasting	NOUN
cuesj-522	28	22	demand	demand	NOUN
cuesj-522	28	23	requires	require	VERB
cuesj-522	28	24	the	the	DET
cuesj-522	28	25	application	application	NOUN
cuesj-522	28	26	of	of	ADP
cuesj-522	28	27	a	a	DET
cuesj-522	28	28	certain	certain	ADJ
cuesj-522	28	29	approach	approach	NOUN
cuesj-522	28	30	.	.	PUNCT
cuesj-522	29	1	many	many	ADJ
cuesj-522	29	2	predicting	predict	VERB
cuesj-522	29	3	approaches	approach	NOUN
cuesj-522	29	4	work	work	VERB
cuesj-522	29	5	on	on	ADP
cuesj-522	29	6	the	the	DET
cuesj-522	29	7	same	same	ADJ
cuesj-522	29	8	principle	principle	NOUN
cuesj-522	29	9	of	of	ADP
cuesj-522	29	10	using	use	VERB
cuesj-522	29	11	previous	previous	ADJ
cuesj-522	29	12	data	datum	NOUN
cuesj-522	29	13	to	to	PART
cuesj-522	29	14	forecast	forecast	VERB
cuesj-522	29	15	or	or	CCONJ
cuesj-522	29	16	project	project	VERB
cuesj-522	29	17	future	future	ADJ
cuesj-522	29	18	data	datum	NOUN
cuesj-522	29	19	.	.	PUNCT
cuesj-522	30	1	in	in	ADP
cuesj-522	30	2	other	other	ADJ
cuesj-522	30	3	ways	way	NOUN
cuesj-522	30	4	,	,	PUNCT
cuesj-522	30	5	predicting	predict	VERB
cuesj-522	30	6	can	can	AUX
cuesj-522	30	7	be	be	AUX
cuesj-522	30	8	seen	see	VERB
cuesj-522	30	9	as	as	ADP
cuesj-522	30	10	a	a	DET
cuesj-522	30	11	critical	critical	ADJ
cuesj-522	30	12	and	and	CCONJ
cuesj-522	30	13	necessary	necessary	ADJ
cuesj-522	30	14	help	help	NOUN
cuesj-522	30	15	to	to	ADP
cuesj-522	30	16	management	management	NOUN
cuesj-522	30	17	that	that	PRON
cuesj-522	30	18	serves	serve	VERB
cuesj-522	30	19	as	as	ADP
cuesj-522	30	20	the	the	DET
cuesj-522	30	21	foundation	foundation	NOUN
cuesj-522	30	22	of	of	ADP
cuesj-522	30	23	efficient	efficient	ADJ
cuesj-522	30	24	operations	operation	NOUN
cuesj-522	30	25	.	.	PUNCT
cuesj-522	31	1	several	several	ADJ
cuesj-522	31	2	organizations	organization	NOUN
cuesj-522	31	3	have	have	AUX
cuesj-522	31	4	failed	fail	VERB
cuesj-522	31	5	in	in	ADP
cuesj-522	31	6	the	the	DET
cuesj-522	31	7	past	past	NOUN
cuesj-522	31	8	as	as	ADP
cuesj-522	31	9	a	a	DET
cuesj-522	31	10	result	result	NOUN
cuesj-522	31	11	of	of	ADP
cuesj-522	31	12	an	an	DET
cuesj-522	31	13	ineffective	ineffective	ADJ
cuesj-522	31	14	forecasting	forecasting	NOUN
cuesj-522	31	15	approach	approach	NOUN
cuesj-522	31	16	on	on	ADP
cuesj-522	31	17	which	which	PRON
cuesj-522	31	18	the	the	DET
cuesj-522	31	19	company	company	NOUN
cuesj-522	31	20	’s	’s	PART
cuesj-522	31	21	whole	whole	ADJ
cuesj-522	31	22	strategy	strategy	NOUN
cuesj-522	31	23	was	be	AUX
cuesj-522	31	24	based	base	VERB
cuesj-522	31	25	.	.	PUNCT
cuesj-522	32	1	forecasting	forecast	VERB
cuesj-522	32	2	effectively	effectively	ADV
cuesj-522	32	3	assists	assist	VERB
cuesj-522	32	4	in	in	ADP
cuesj-522	32	5	the	the	DET
cuesj-522	32	6	decrease	decrease	NOUN
cuesj-522	32	7	of	of	ADP
cuesj-522	32	8	unneeded	unneeded	ADJ
cuesj-522	32	9	inventories	inventory	NOUN
cuesj-522	32	10	,	,	PUNCT
cuesj-522	32	11	the	the	DET
cuesj-522	32	12	improvement	improvement	NOUN
cuesj-522	32	13	of	of	ADP
cuesj-522	32	14	product	product	NOUN
cuesj-522	32	15	availability	availability	NOUN
cuesj-522	32	16	,	,	PUNCT
cuesj-522	32	17	and	and	CCONJ
cuesj-522	32	18	also	also	ADV
cuesj-522	32	19	the	the	DET
cuesj-522	32	20	degree	degree	NOUN
cuesj-522	32	21	of	of	ADP
cuesj-522	32	22	customers	customer	NOUN
cuesj-522	32	23	’	'	PUNCT
cuesj-522	32	24	satisfaction	satisfaction	NOUN
cuesj-522	32	25	.	.	PUNCT
cuesj-522	33	1	the	the	DET
cuesj-522	33	2	major	major	ADJ
cuesj-522	33	3	driving	drive	VERB
cuesj-522	33	4	factor	factor	NOUN
cuesj-522	33	5	for	for	ADP
cuesj-522	33	6	profit	profit	NOUN
cuesj-522	33	7	generation	generation	NOUN
cuesj-522	33	8	in	in	ADP
cuesj-522	33	9	today	today	NOUN
cuesj-522	33	10	’s	’s	PART
cuesj-522	33	11	business	business	NOUN
cuesj-522	33	12	world	world	NOUN
cuesj-522	33	13	is	be	AUX
cuesj-522	33	14	satisfying	satisfy	VERB
cuesj-522	33	15	customer	customer	NOUN
cuesj-522	33	16	’s	’s	PART
cuesj-522	33	17	requirements	requirement	NOUN
cuesj-522	33	18	at	at	ADP
cuesj-522	33	19	the	the	DET
cuesj-522	33	20	correct	correct	ADJ
cuesj-522	33	21	time	time	NOUN
cuesj-522	33	22	and	and	CCONJ
cuesj-522	33	23	even	even	ADV
cuesj-522	33	24	in	in	ADP
cuesj-522	33	25	the	the	DET
cuesj-522	33	26	appropriate	appropriate	ADJ
cuesj-522	33	27	amount	amount	NOUN
cuesj-522	33	28	.	.	PUNCT
cuesj-522	34	1	as	as	ADP
cuesj-522	34	2	a	a	DET
cuesj-522	34	3	result	result	NOUN
cuesj-522	34	4	,	,	PUNCT
cuesj-522	34	5	predicting	predict	VERB
cuesj-522	34	6	with	with	ADP
cuesj-522	34	7	as	as	ADV
cuesj-522	34	8	much	much	ADJ
cuesj-522	34	9	precision	precision	NOUN
cuesj-522	34	10	as	as	ADP
cuesj-522	34	11	feasible	feasible	ADJ
cuesj-522	34	12	is	be	AUX
cuesj-522	34	13	critical	critical	ADJ
cuesj-522	34	14	to	to	ADP
cuesj-522	34	15	ensuring	ensure	VERB
cuesj-522	34	16	product	product	NOUN
cuesj-522	34	17	availability	availability	NOUN
cuesj-522	34	18	at	at	ADP
cuesj-522	34	19	the	the	DET
cuesj-522	34	20	lowest	low	ADJ
cuesj-522	34	21	possible	possible	ADJ
cuesj-522	34	22	cost	cost	NOUN
cuesj-522	34	23	.	.	PUNCT
cuesj-522	35	1	the	the	DET
cuesj-522	35	2	forecast	forecast	NOUN
cuesj-522	35	3	’s	’s	PART
cuesj-522	35	4	reliability	reliability	NOUN
cuesj-522	35	5	would	would	AUX
cuesj-522	35	6	be	be	AUX
cuesj-522	35	7	evaluated	evaluate	VERB
cuesj-522	35	8	using	use	VERB
cuesj-522	35	9	mean	mean	ADJ
cuesj-522	35	10	absolute	absolute	ADJ
cuesj-522	35	11	percentage	percentage	NOUN
cuesj-522	35	12	error	error	NOUN
cuesj-522	35	13	(	(	PUNCT
cuesj-522	35	14	mape	mape	NOUN
cuesj-522	35	15	)	)	PUNCT
cuesj-522	35	16	tool	tool	NOUN
cuesj-522	35	17	.	.	PUNCT
cuesj-522	36	1	mape	mape	NOUN
cuesj-522	36	2	displays	display	VERB
cuesj-522	36	3	a	a	DET
cuesj-522	36	4	forecast	forecast	NOUN
cuesj-522	36	5	’s	’s	PART
cuesj-522	36	6	reliability	reliability	NOUN
cuesj-522	36	7	in	in	ADP
cuesj-522	36	8	the	the	DET
cuesj-522	36	9	percentage	percentage	NOUN
cuesj-522	36	10	form	form	NOUN
cuesj-522	36	11	.	.	PUNCT
cuesj-522	37	1	since	since	SCONJ
cuesj-522	37	2	it	it	PRON
cuesj-522	37	3	was	be	AUX
cuesj-522	37	4	simple	simple	ADJ
cuesj-522	37	5	to	to	PART
cuesj-522	37	6	read	read	VERB
cuesj-522	37	7	,	,	PUNCT
cuesj-522	37	8	(	(	PUNCT
cuesj-522	37	9	due	due	ADP
cuesj-522	37	10	to	to	ADP
cuesj-522	37	11	its	its	PRON
cuesj-522	37	12	percentage	percentage	NOUN
cuesj-522	37	13	form).[1	form).[1	ADJ
cuesj-522	37	14	-	-	PUNCT
cuesj-522	37	15	3	3	NUM
cuesj-522	37	16	]	]	PUNCT
cuesj-522	37	17	a	a	DET
cuesj-522	37	18	mape	mape	NOUN
cuesj-522	37	19	reliability	reliability	NOUN
cuesj-522	37	20	estimate	estimate	NOUN
cuesj-522	37	21	is	be	AUX
cuesj-522	37	22	typically	typically	ADV
cuesj-522	37	23	more	more	ADV
cuesj-522	37	24	commonly	commonly	ADV
cuesj-522	37	25	employed	employ	VERB
cuesj-522	37	26	.	.	PUNCT
cuesj-522	38	1	the	the	DET
cuesj-522	38	2	smaller	small	ADJ
cuesj-522	38	3	mape	mape	NOUN
cuesj-522	38	4	score	score	NOUN
cuesj-522	38	5	indicates	indicate	VERB
cuesj-522	38	6	that	that	SCONJ
cuesj-522	38	7	now	now	ADV
cuesj-522	38	8	the	the	DET
cuesj-522	38	9	prediction	prediction	NOUN
cuesj-522	38	10	model	model	NOUN
cuesj-522	38	11	performs	perform	VERB
cuesj-522	38	12	well	well	ADV
cuesj-522	38	13	.	.	PUNCT
cuesj-522	39	1	table	table	NOUN
cuesj-522	39	2	1	1	NUM
cuesj-522	39	3	shows	show	VERB
cuesj-522	39	4	the	the	DET
cuesj-522	39	5	range	range	NOUN
cuesj-522	39	6	of	of	ADP
cuesj-522	39	7	a	a	DET
cuesj-522	39	8	mape	mape	NOUN
cuesj-522	39	9	score	score	NOUN
cuesj-522	39	10	.	.	PUNCT
cuesj-522	40	1	research	research	NOUN
cuesj-522	40	2	method	method	NOUN
cuesj-522	40	3	(	(	PUNCT
cuesj-522	40	4	des	des	PROPN
cuesj-522	40	5	)	)	PUNCT
cuesj-522	40	6	simple	simple	ADJ
cuesj-522	40	7	exponential	exponential	ADJ
cuesj-522	40	8	smoothness	smoothness	NOUN
cuesj-522	40	9	does	do	AUX
cuesj-522	40	10	not	not	PART
cuesj-522	40	11	really	really	ADV
cuesj-522	40	12	work	work	VERB
cuesj-522	40	13	well	well	ADV
cuesj-522	40	14	while	while	SCONJ
cuesj-522	40	15	there	there	PRON
cuesj-522	40	16	is	be	VERB
cuesj-522	40	17	a	a	DET
cuesj-522	40	18	trends	trend	NOUN
cuesj-522	40	19	in	in	ADP
cuesj-522	40	20	the	the	DET
cuesj-522	40	21	information	information	NOUN
cuesj-522	40	22	,	,	PUNCT
cuesj-522	40	23	that	that	PRON
cuesj-522	40	24	is	be	AUX
cuesj-522	40	25	inconvenient	inconvenient	ADJ
cuesj-522	40	26	.	.	PUNCT
cuesj-522	41	1	for	for	ADP
cuesj-522	41	2	such	such	ADJ
cuesj-522	41	3	cases	case	NOUN
cuesj-522	41	4	,	,	PUNCT
cuesj-522	41	5	various	various	ADJ
cuesj-522	41	6	techniques	technique	NOUN
cuesj-522	41	7	have	have	AUX
cuesj-522	41	8	been	be	AUX
cuesj-522	41	9	developed	develop	VERB
cuesj-522	41	10	that	that	SCONJ
cuesj-522	41	11	under	under	ADP
cuesj-522	41	12	term	term	NOUN
cuesj-522	41	13	“	"	PUNCT
cuesj-522	41	14	des	des	X
cuesj-522	41	15	”	"	PUNCT
cuesj-522	41	16	or	or	CCONJ
cuesj-522	41	17	“	"	PUNCT
cuesj-522	41	18	2nd	2nd	ADJ
cuesj-522	41	19	exponential	exponential	ADJ
cuesj-522	41	20	smoothing	smoothing	NOUN
cuesj-522	41	21	,	,	PUNCT
cuesj-522	41	22	”	"	PUNCT
cuesj-522	41	23	and	and	CCONJ
cuesj-522	41	24	that	that	PRON
cuesj-522	41	25	is	be	AUX
cuesj-522	41	26	the	the	DET
cuesj-522	41	27	recursion	recursion	NOUN
cuesj-522	41	28	applying	applying	NOUN
cuesj-522	41	29	of	of	ADP
cuesj-522	41	30	the	the	DET
cuesj-522	41	31	an	an	DET
cuesj-522	41	32	exponentially	exponentially	ADV
cuesj-522	41	33	filtering	filtering	NOUN
cuesj-522	41	34	twice	twice	ADV
cuesj-522	41	35	,	,	PUNCT
cuesj-522	41	36	hence	hence	ADV
cuesj-522	41	37	the	the	DET
cuesj-522	41	38	term	term	NOUN
cuesj-522	41	39	“	"	PUNCT
cuesj-522	41	40	des	des	PROPN
cuesj-522	41	41	.	.	PUNCT
cuesj-522	41	42	”	"	PUNCT
cuesj-522	42	1	brownos	brownos	PROPN
cuesj-522	42	2	des	des	X
cuesj-522	42	3	technique	technique	NOUN
cuesj-522	42	4	is	be	AUX
cuesj-522	42	5	indeed	indeed	ADV
cuesj-522	42	6	a	a	DET
cuesj-522	42	7	prediction	prediction	NOUN
cuesj-522	42	8	approach	approach	NOUN
cuesj-522	42	9	that	that	PRON
cuesj-522	42	10	is	be	AUX
cuesj-522	42	11	utilized	utilize	VERB
cuesj-522	42	12	while	while	SCONJ
cuesj-522	42	13	the	the	DET
cuesj-522	42	14	data	datum	NOUN
cuesj-522	42	15	have	have	VERB
cuesj-522	42	16	a	a	DET
cuesj-522	42	17	trend	trend	NOUN
cuesj-522	42	18	line	line	NOUN
cuesj-522	42	19	as	as	ADV
cuesj-522	42	20	well	well	ADV
cuesj-522	42	21	as	as	ADP
cuesj-522	42	22	being	be	AUX
cuesj-522	42	23	non	non	ADJ
cuesj-522	42	24	-	-	ADJ
cuesj-522	42	25	stationary	stationary	ADJ
cuesj-522	42	26	.	.	PUNCT
cuesj-522	43	1	this	this	PRON
cuesj-522	43	2	really	really	ADV
cuesj-522	43	3	is	be	AUX
cuesj-522	43	4	comparable	comparable	ADJ
cuesj-522	43	5	to	to	ADP
cuesj-522	43	6	the	the	DET
cuesj-522	43	7	terminology	terminology	NOUN
cuesj-522	43	8	used	use	VERB
cuesj-522	43	9	for	for	ADP
cuesj-522	43	10	quadruple	quadruple	NOUN
cuesj-522	43	11	exponential	exponential	ADJ
cuesj-522	43	12	smoothing	smoothing	NOUN
cuesj-522	43	13	,	,	PUNCT
cuesj-522	43	14	that	that	PRON
cuesj-522	43	15	also	also	ADV
cuesj-522	43	16	refers	refer	VERB
cuesj-522	43	17	to	to	ADP
cuesj-522	43	18	the	the	DET
cuesj-522	43	19	recursion	recursion	NOUN
cuesj-522	43	20	depth	depth	NOUN
cuesj-522	43	21	.	.	PUNCT
cuesj-522	44	1	the	the	DET
cuesj-522	44	2	main	main	ADJ
cuesj-522	44	3	concept	concept	NOUN
cuesj-522	44	4	underlying	underlie	VERB
cuesj-522	44	5	des	de	NOUN
cuesj-522	44	6	would	would	AUX
cuesj-522	44	7	include	include	VERB
cuesj-522	44	8	a	a	DET
cuesj-522	44	9	component	component	NOUN
cuesj-522	44	10	that	that	PRON
cuesj-522	44	11	accounts	account	VERB
cuesj-522	44	12	for	for	ADP
cuesj-522	44	13	the	the	DET
cuesj-522	44	14	potential	potential	NOUN
cuesj-522	44	15	of	of	ADP
cuesj-522	44	16	the	the	DET
cuesj-522	44	17	series	series	NOUN
cuesj-522	44	18	displaying	display	VERB
cuesj-522	44	19	some	some	DET
cuesj-522	44	20	kind	kind	NOUN
cuesj-522	44	21	of	of	ADP
cuesj-522	44	22	the	the	DET
cuesj-522	44	23	trend	trend	NOUN
cuesj-522	44	24	.	.	PUNCT
cuesj-522	45	1	that	that	DET
cuesj-522	45	2	slope	slope	NOUN
cuesj-522	45	3	parameter	parameter	NOUN
cuesj-522	45	4	was	be	AUX
cuesj-522	45	5	kept	keep	VERB
cuesj-522	45	6	up	up	ADP
cuesj-522	45	7	to	to	ADP
cuesj-522	45	8	date	date	NOUN
cuesj-522	45	9	by	by	ADP
cuesj-522	45	10	using	use	VERB
cuesj-522	45	11	exponential	exponential	ADJ
cuesj-522	45	12	smoothing	smoothing	NOUN
cuesj-522	45	13	.	.	PUNCT
cuesj-522	46	1	when	when	SCONJ
cuesj-522	46	2	such	such	ADJ
cuesj-522	46	3	data	datum	NOUN
cuesj-522	46	4	reveals	reveal	VERB
cuesj-522	46	5	a	a	DET
cuesj-522	46	6	trend	trend	NOUN
cuesj-522	46	7	,	,	PUNCT
cuesj-522	46	8	this	this	DET
cuesj-522	46	9	approach	approach	NOUN
cuesj-522	46	10	is	be	AUX
cuesj-522	46	11	employed	employ	VERB
cuesj-522	46	12	.	.	PUNCT
cuesj-522	47	1	exponential	exponential	NOUN
cuesj-522	47	2	smoothing	smooth	VERB
cuesj-522	47	3	through	through	ADP
cuesj-522	47	4	trend	trend	NOUN
cuesj-522	47	5	is	be	AUX
cuesj-522	47	6	similar	similar	ADJ
cuesj-522	47	7	to	to	ADP
cuesj-522	47	8	simple	simple	ADJ
cuesj-522	47	9	smoothing	smoothing	NOUN
cuesj-522	47	10	,	,	PUNCT
cuesj-522	47	11	however	however	ADV
cuesj-522	47	12	that	that	SCONJ
cuesj-522	47	13	both	both	DET
cuesj-522	47	14	components	component	NOUN
cuesj-522	47	15	should	should	AUX
cuesj-522	47	16	be	be	AUX
cuesj-522	47	17	updated	update	VERB
cuesj-522	47	18	throughout	throughout	ADP
cuesj-522	47	19	every	every	DET
cuesj-522	47	20	levelperiodic	levelperiodic	NOUN
cuesj-522	47	21	as	as	ADV
cuesj-522	47	22	well	well	ADV
cuesj-522	47	23	as	as	ADP
cuesj-522	47	24	its	its	PRON
cuesj-522	47	25	trends	trend	NOUN
cuesj-522	47	26	.	.	PUNCT
cuesj-522	48	1	this	this	DET
cuesj-522	48	2	level	level	NOUN
cuesj-522	48	3	is	be	AUX
cuesj-522	48	4	the	the	DET
cuesj-522	48	5	smoothed	smooth	VERB
cuesj-522	48	6	estimate	estimate	NOUN
cuesj-522	48	7	based	base	VERB
cuesj-522	48	8	on	on	ADP
cuesj-522	48	9	the	the	DET
cuesj-522	48	10	data	data	NOUN
cuesj-522	48	11	values	value	NOUN
cuesj-522	48	12	at	at	ADP
cuesj-522	48	13	the	the	DET
cuesj-522	48	14	conclusion	conclusion	NOUN
cuesj-522	48	15	of	of	ADP
cuesj-522	48	16	the	the	DET
cuesj-522	48	17	each	each	DET
cuesj-522	48	18	period	period	NOUN
cuesj-522	48	19	.	.	PUNCT
cuesj-522	49	1	a	a	DET
cuesj-522	49	2	tendency	tendency	NOUN
cuesj-522	49	3	is	be	AUX
cuesj-522	49	4	a	a	DET
cuesj-522	49	5	smoothed	smoothed	ADJ
cuesj-522	49	6	estimate	estimate	NOUN
cuesj-522	49	7	of	of	ADP
cuesj-522	49	8	average	average	ADJ
cuesj-522	49	9	growth	growth	NOUN
cuesj-522	49	10	at	at	ADP
cuesj-522	49	11	the	the	DET
cuesj-522	49	12	ending	ending	NOUN
cuesj-522	49	13	of	of	ADP
cuesj-522	49	14	each	each	DET
cuesj-522	49	15	period.[1,3	period.[1,3	PROPN
cuesj-522	49	16	-	-	SYM
cuesj-522	49	17	6	6	NUM
cuesj-522	49	18	]	]	PUNCT
cuesj-522	49	19	a	a	DET
cuesj-522	49	20	basic	basic	ADJ
cuesj-522	49	21	concept	concept	NOUN
cuesj-522	49	22	of	of	ADP
cuesj-522	49	23	these	these	DET
cuesj-522	49	24	technique	technique	NOUN
cuesj-522	49	25	was	be	AUX
cuesj-522	49	26	illustrated	illustrate	VERB
cuesj-522	49	27	in	in	ADP
cuesj-522	49	28	equation	equation	NOUN
cuesj-522	49	29	(	(	PUNCT
cuesj-522	49	30	1	1	NUM
cuesj-522	49	31	)	)	PUNCT
cuesj-522	49	32	,	,	PUNCT
cuesj-522	49	33	(	(	PUNCT
cuesj-522	49	34	)	)	PUNCT
cuesj-522	49	35	t	t	PROPN
cuesj-522	49	36	1	1	NUM
cuesj-522	49	37	t	t	NOUN
cuesj-522	49	38	tz	tz	NOUN
cuesj-522	49	39	   	   	SPACE
cuesj-522	49	40	x	x	SYM
cuesj-522	49	41	1	1	NUM
cuesj-522	49	42	z+	z+	NUM
cuesj-522	49	43	=	=	SYM
cuesj-522	49	44	∝	∝	X
cuesj-522	49	45	+	+	CCONJ
cuesj-522	49	46	−	−	PROPN
cuesj-522	49	47	∝	∝	NOUN
cuesj-522	49	48	(	(	PUNCT
cuesj-522	49	49	1	1	NUM
cuesj-522	49	50	)	)	PUNCT
cuesj-522	49	51	where	where	SCONJ
cuesj-522	49	52	zt+1∶	zt+1∶	NUM
cuesj-522	49	53	prediction	prediction	NOUN
cuesj-522	49	54	one	one	NUM
cuesj-522	49	55	period	period	NOUN
cuesj-522	49	56	ahead	ahead	ADV
cuesj-522	49	57	.	.	PUNCT
cuesj-522	50	1	xt	xt	ADP
cuesj-522	50	2	:	:	PUNCT
cuesj-522	50	3	actual	actual	ADJ
cuesj-522	50	4	data	datum	NOUN
cuesj-522	50	5	at	at	ADP
cuesj-522	50	6	period	period	NOUN
cuesj-522	50	7	t	t	PROPN
cuesj-522	50	8	zt	zt	PROPN
cuesj-522	50	9	:	:	PUNCT
cuesj-522	50	10	prediction	prediction	NOUN
cuesj-522	50	11	at	at	ADP
cuesj-522	50	12	period	period	NOUN
cuesj-522	50	13	t	t	PROPN
cuesj-522	50	14	∝	∝	PROPN
cuesj-522	50	15	:	:	PUNCT
cuesj-522	50	16	smoothing	smooth	VERB
cuesj-522	50	17	parameter	parameter	NOUN
cuesj-522	50	18	(	(	PUNCT
cuesj-522	50	19	0	0	NUM
cuesj-522	50	20	<	<	X
cuesj-522	50	21	∝	∝	PROPN
cuesj-522	50	22	<	<	X
cuesj-522	50	23	1	1	NUM
cuesj-522	50	24	)	)	PUNCT
cuesj-522	50	25	brown	brown	PROPN
cuesj-522	50	26	’s	’s	PART
cuesj-522	50	27	linear	linear	ADJ
cuesj-522	50	28	exponential	exponential	ADJ
cuesj-522	50	29	smoothing	smoothing	NOUN
cuesj-522	50	30	exponential	exponential	NOUN
cuesj-522	50	31	smoothing	smooth	VERB
cuesj-522	50	32	through	through	ADP
cuesj-522	50	33	a	a	DET
cuesj-522	50	34	tendency	tendency	NOUN
cuesj-522	50	35	works	work	VERB
cuesj-522	50	36	similarly	similarly	ADV
cuesj-522	50	37	to	to	ADP
cuesj-522	50	38	basic	basic	ADJ
cuesj-522	50	39	smoothing	smoothing	NOUN
cuesj-522	50	40	,	,	PUNCT
cuesj-522	50	41	with	with	SCONJ
cuesj-522	50	42	the	the	DET
cuesj-522	50	43	exception	exception	NOUN
cuesj-522	50	44	that	that	PRON
cuesj-522	50	45	two	two	NUM
cuesj-522	50	46	components	component	NOUN
cuesj-522	50	47	level	level	NOUN
cuesj-522	50	48	as	as	ADV
cuesj-522	50	49	well	well	ADV
cuesj-522	50	50	as	as	ADP
cuesj-522	50	51	trend	trend	NOUN
cuesj-522	50	52	should	should	AUX
cuesj-522	50	53	be	be	AUX
cuesj-522	50	54	adjusted	adjust	VERB
cuesj-522	50	55	each	each	DET
cuesj-522	50	56	period	period	NOUN
cuesj-522	50	57	.	.	PUNCT
cuesj-522	51	1	a	a	DET
cuesj-522	51	2	level	level	NOUN
cuesj-522	51	3	was	be	AUX
cuesj-522	51	4	the	the	DET
cuesj-522	51	5	smoothed	smooth	VERB
cuesj-522	51	6	estimation	estimation	NOUN
cuesj-522	51	7	of	of	ADP
cuesj-522	51	8	a	a	DET
cuesj-522	51	9	data	data	NOUN
cuesj-522	51	10	’s	’s	PART
cuesj-522	51	11	values	value	NOUN
cuesj-522	51	12	just	just	ADV
cuesj-522	51	13	at	at	ADP
cuesj-522	51	14	ending	ending	NOUN
cuesj-522	51	15	of	of	ADP
cuesj-522	51	16	each	each	DET
cuesj-522	51	17	period	period	NOUN
cuesj-522	51	18	.	.	PUNCT
cuesj-522	52	1	this	this	DET
cuesj-522	52	2	tendency	tendency	NOUN
cuesj-522	52	3	was	be	AUX
cuesj-522	52	4	the	the	DET
cuesj-522	52	5	smoothed	smooth	VERB
cuesj-522	52	6	estimation	estimation	NOUN
cuesj-522	52	7	of	of	ADP
cuesj-522	52	8	average	average	ADJ
cuesj-522	52	9	growth	growth	NOUN
cuesj-522	52	10	at	at	ADP
cuesj-522	52	11	every	every	DET
cuesj-522	52	12	period	period	NOUN
cuesj-522	52	13	’s	’s	PART
cuesj-522	52	14	conclusion	conclusion	NOUN
cuesj-522	52	15	.	.	PUNCT
cuesj-522	53	1	brown	brown	PROPN
cuesj-522	53	2	’s	’s	PART
cuesj-522	53	3	straight	straight	ADJ
cuesj-522	53	4	exponential	exponential	ADJ
cuesj-522	53	5	smoothing	smoothing	NOUN
cuesj-522	53	6	(	(	PUNCT
cuesj-522	53	7	brown	brown	PROPN
cuesj-522	53	8	’s	’s	PART
cuesj-522	53	9	des	de	NOUN
cuesj-522	53	10	)	)	PUNCT
cuesj-522	53	11	was	be	AUX
cuesj-522	53	12	widely	widely	ADV
cuesj-522	53	13	used	use	VERB
cuesj-522	53	14	only	only	ADV
cuesj-522	53	15	for	for	ADP
cuesj-522	53	16	data	datum	NOUN
cuesj-522	53	17	with	with	ADP
cuesj-522	53	18	a	a	DET
cuesj-522	53	19	trend	trend	NOUN
cuesj-522	53	20	line	line	NOUN
cuesj-522	53	21	.	.	PUNCT
cuesj-522	54	1	this	this	PRON
cuesj-522	54	2	is	be	AUX
cuesj-522	54	3	utilized	utilize	VERB
cuesj-522	54	4	because	because	SCONJ
cuesj-522	54	5	when	when	SCONJ
cuesj-522	54	6	data	datum	NOUN
cuesj-522	54	7	exhibits	exhibit	VERB
cuesj-522	54	8	a	a	DET
cuesj-522	54	9	trending	trending	NOUN
cuesj-522	54	10	as	as	ADV
cuesj-522	54	11	well	well	ADV
cuesj-522	54	12	as	as	ADP
cuesj-522	54	13	to	to	PART
cuesj-522	54	14	generate	generate	VERB
cuesj-522	54	15	a	a	DET
cuesj-522	54	16	linear	linear	ADJ
cuesj-522	54	17	trend	trend	NOUN
cuesj-522	54	18	.	.	PUNCT
cuesj-522	55	1	the	the	DET
cuesj-522	55	2	brown	brown	PROPN
cuesj-522	55	3	’s	’s	PART
cuesj-522	55	4	exponential	exponential	ADJ
cuesj-522	55	5	smoothing	smoothing	NOUN
cuesj-522	55	6	methodology	methodology	NOUN
cuesj-522	55	7	is	be	AUX
cuesj-522	55	8	therefore	therefore	ADV
cuesj-522	55	9	appropriate	appropriate	ADJ
cuesj-522	55	10	for	for	ADP
cuesj-522	55	11	modeling	model	VERB
cuesj-522	55	12	time	time	NOUN
cuesj-522	55	13	series	series	NOUN
cuesj-522	55	14	through	through	ADP
cuesj-522	55	15	trend	trend	NOUN
cuesj-522	55	16	however	however	ADV
cuesj-522	55	17	no	no	DET
cuesj-522	55	18	seasonality	seasonality	NOUN
cuesj-522	55	19	.	.	PUNCT
cuesj-522	56	1	that	that	SCONJ
cuesj-522	56	2	a	a	DET
cuesj-522	56	3	des	des	X
cuesj-522	56	4	brown	brown	NOUN
cuesj-522	56	5	technique	technique	NOUN
cuesj-522	56	6	comprises	comprise	VERB
cuesj-522	56	7	the	the	DET
cuesj-522	56	8	single	single	ADJ
cuesj-522	56	9	parameter	parameter	NOUN
cuesj-522	56	10	∝	∝	PROPN
cuesj-522	56	11	with	with	ADP
cuesj-522	56	12	a	a	DET
cuesj-522	56	13	value	value	NOUN
cuesj-522	56	14	between	between	ADP
cuesj-522	56	15	0	0	NUM
cuesj-522	56	16	and	and	CCONJ
cuesj-522	56	17	1	1	NUM
cuesj-522	56	18	.	.	X
cuesj-522	57	1	that	that	DET
cuesj-522	57	2	parameter	parameter	NOUN
cuesj-522	57	3	value	value	NOUN
cuesj-522	57	4	was	be	AUX
cuesj-522	57	5	being	be	AUX
cuesj-522	57	6	utilized	utilize	VERB
cuesj-522	57	7	to	to	PART
cuesj-522	57	8	reduce	reduce	VERB
cuesj-522	57	9	the	the	DET
cuesj-522	57	10	observed	observe	VERB
cuesj-522	57	11	value	value	NOUN
cuesj-522	57	12	(	(	PUNCT
cuesj-522	57	13	real	real	ADJ
cuesj-522	57	14	value	value	NOUN
cuesj-522	57	15	)	)	PUNCT
cuesj-522	57	16	in	in	ADP
cuesj-522	57	17	the	the	DET
cuesj-522	57	18	older	old	ADJ
cuesj-522	57	19	era	era	NOUN
cuesj-522	57	20	exponentially.[1,4,7	exponentially.[1,4,7	NOUN
cuesj-522	57	21	]	]	X
cuesj-522	58	1	des	des	X
cuesj-522	58	2	utilizing	utilize	VERB
cuesj-522	58	3	brown	brown	PROPN
cuesj-522	58	4	’s	’s	PART
cuesj-522	58	5	technique	technique	NOUN
cuesj-522	58	6	through	through	ADP
cuesj-522	58	7	the	the	DET
cuesj-522	58	8	m	m	PROPN
cuesj-522	58	9	-	-	PUNCT
cuesj-522	58	10	periodahead	periodahead	PROPN
cuesj-522	58	11	forecast	forecast	NOUN
cuesj-522	58	12	is	be	AUX
cuesj-522	58	13	provided	provide	VERB
cuesj-522	58	14	by	by	ADP
cuesj-522	58	15	:	:	PUNCT
cuesj-522	58	16	(	(	PUNCT
cuesj-522	58	17	)	)	PUNCT
cuesj-522	58	18	t	t	PROPN
cuesj-522	58	19	m	m	PROPN
cuesj-522	58	20	ˆˆz	ˆˆz	NOUN
cuesj-522	58	21	 	 	SPACE
cuesj-522	58	22	a	a	DET
cuesj-522	58	23	b	b	NOUN
cuesj-522	58	24	m+	m+	NOUN
cuesj-522	58	25	=	=	SYM
cuesj-522	59	1	+	+	CCONJ
cuesj-522	59	2	(	(	PUNCT
cuesj-522	59	3	2	2	X
cuesj-522	59	4	)	)	PUNCT
cuesj-522	59	5	this	this	PRON
cuesj-522	59	6	is	be	AUX
cuesj-522	59	7	just	just	ADV
cuesj-522	59	8	a	a	DET
cuesj-522	59	9	simple	simple	ADJ
cuesj-522	59	10	linear	linear	ADJ
cuesj-522	59	11	regression	regression	NOUN
cuesj-522	59	12	model	model	NOUN
cuesj-522	59	13	.	.	PUNCT
cuesj-522	60	1	where	where	SCONJ
cuesj-522	60	2	:	:	PUNCT
cuesj-522	60	3	zt+m	zt+m	NOUN
cuesj-522	60	4	:	:	PUNCT
cuesj-522	60	5	ahead	ahead	PROPN
cuesj-522	60	6	forecast	forecast	PROPN
cuesj-522	60	7	in	in	ADP
cuesj-522	60	8	(	(	PUNCT
cuesj-522	60	9	m	m	NOUN
cuesj-522	60	10	)	)	PUNCT
cuesj-522	60	11	period	period	NOUN
cuesj-522	60	12	(	(	PUNCT
cuesj-522	60	13	â.b̂	â.b̂	NUM
cuesj-522	60	14	)	)	PUNCT
cuesj-522	60	15	:	:	PUNCT
cuesj-522	60	16	unknown	unknown	ADJ
cuesj-522	60	17	parameters	parameter	NOUN
cuesj-522	60	18	to	to	PART
cuesj-522	60	19	find	find	VERB
cuesj-522	60	20	the	the	DET
cuesj-522	60	21	m	m	NOUN
cuesj-522	60	22	-	-	PUNCT
cuesj-522	60	23	period	period	NOUN
cuesj-522	60	24	-	-	PUNCT
cuesj-522	60	25	ahead	ahead	NOUN
cuesj-522	60	26	forecast	forecast	NOUN
cuesj-522	60	27	using	use	VERB
cuesj-522	60	28	following	follow	VERB
cuesj-522	60	29	steps	step	NOUN
cuesj-522	60	30	step	step	NOUN
cuesj-522	60	31	(	(	PUNCT
cuesj-522	60	32	1	1	NUM
cuesj-522	60	33	)	)	PUNCT
cuesj-522	60	34	.	.	PUNCT
cuesj-522	61	1	to	to	PART
cuesj-522	61	2	find	find	VERB
cuesj-522	61	3	coefficients	coefficient	NOUN
cuesj-522	61	4	of	of	ADP
cuesj-522	61	5	linear	linear	ADJ
cuesj-522	61	6	trend	trend	NOUN
cuesj-522	61	7	as	as	SCONJ
cuesj-522	61	8	follows	follow	VERB
cuesj-522	61	9	:	:	PUNCT
cuesj-522	61	10	1	1	NUM
cuesj-522	61	11	2	2	NUM
cuesj-522	61	12	t	t	NOUN
cuesj-522	61	13	t	t	NOUN
cuesj-522	61	14	tâ	tâ	PROPN
cuesj-522	61	15	2(s	2(s	NUM
cuesj-522	61	16	)	)	PUNCT
cuesj-522	61	17	(	(	PUNCT
cuesj-522	61	18	s	s	NOUN
cuesj-522	61	19	)	)	PUNCT
cuesj-522	61	20	=	=	SYM
cuesj-522	62	1	−	−	PROPN
cuesj-522	62	2	(	(	PUNCT
cuesj-522	62	3	3	3	NUM
cuesj-522	62	4	)	)	PUNCT
cuesj-522	62	5	where	where	SCONJ
cuesj-522	62	6	1	1	NUM
cuesj-522	62	7	t(s	t(s	PROPN
cuesj-522	62	8	)	)	PUNCT
cuesj-522	62	9	is	be	AUX
cuesj-522	62	10	the	the	DET
cuesj-522	62	11	single	single	ADJ
cuesj-522	62	12	-smoothing	-smoothing	ADJ
cuesj-522	62	13	measurement	measurement	NOUN
cuesj-522	62	14	and	and	CCONJ
cuesj-522	62	15	2	2	NUM
cuesj-522	62	16	t(s	t(s	PROPN
cuesj-522	62	17	)	)	PUNCT
cuesj-522	62	18	is	be	AUX
cuesj-522	62	19	the	the	DET
cuesj-522	62	20	double	double	ADJ
cuesj-522	62	21	-	-	PUNCT
cuesj-522	62	22	smoothing	smooth	VERB
cuesj-522	62	23	measurement	measurement	NOUN
cuesj-522	62	24	.	.	PUNCT
cuesj-522	63	1	then	then	ADV
cuesj-522	63	2	,	,	PUNCT
cuesj-522	63	3	1	1	NUM
cuesj-522	63	4	2	2	NUM
cuesj-522	63	5	t	t	NOUN
cuesj-522	63	6	t	t	NOUN
cuesj-522	63	7	tb	tb	X
cuesj-522	63	8	(	(	PUNCT
cuesj-522	63	9	 	 	SPACE
cuesj-522	63	10	s	s	PART
cuesj-522	63	11	s	s	NOUN
cuesj-522	63	12	)	)	PUNCT
cuesj-522	63	13	1	1	NUM
cuesj-522	63	14	ˆ	ˆ	X
cuesj-522	63	15	∝	∝	NOUN
cuesj-522	63	16	=	=	PUNCT
cuesj-522	63	17	−	−	PROPN
cuesj-522	64	1	−	−	PROPN
cuesj-522	64	2	∝	∝	PROPN
cuesj-522	64	3	(	(	PUNCT
cuesj-522	64	4	4	4	NUM
cuesj-522	64	5	)	)	PUNCT
cuesj-522	64	6	where	where	SCONJ
cuesj-522	64	7	(	(	PUNCT
cuesj-522	64	8	α	α	NOUN
cuesj-522	64	9	)	)	PUNCT
cuesj-522	64	10	is	be	AUX
cuesj-522	64	11	the	the	DET
cuesj-522	64	12	single	single	ADJ
cuesj-522	64	13	exponential	exponential	ADJ
cuesj-522	64	14	smoothing	smoothing	NOUN
cuesj-522	64	15	,	,	PUNCT
cuesj-522	64	16	therefore	therefore	ADV
cuesj-522	64	17	:	:	PUNCT
cuesj-522	64	18	1	1	NUM
cuesj-522	64	19	1	1	NUM
cuesj-522	64	20	t	t	NOUN
cuesj-522	64	21	t	t	NOUN
cuesj-522	64	22	t	t	NOUN
cuesj-522	64	23	1s	1s	X
cuesj-522	64	24	x	x	SYM
cuesj-522	64	25	(	(	PUNCT
cuesj-522	64	26	1	1	NUM
cuesj-522	64	27	)	)	PUNCT
cuesj-522	64	28	s	s	PART
cuesj-522	64	29	−=∝	−=∝	NOUN
cuesj-522	64	30	+	+	CCONJ
cuesj-522	64	31	−	−	PROPN
cuesj-522	64	32	∝	∝	PROPN
cuesj-522	64	33	(	(	PUNCT
cuesj-522	64	34	5	5	NUM
cuesj-522	64	35	)	)	SYM
cuesj-522	64	36	2	2	NUM
cuesj-522	64	37	1	1	NUM
cuesj-522	64	38	2	2	NUM
cuesj-522	64	39	t	t	NOUN
cuesj-522	64	40	t	t	NOUN
cuesj-522	64	41	t	t	NOUN
cuesj-522	64	42	1s	1s	PROPN
cuesj-522	64	43	s	s	X
cuesj-522	64	44	(	(	PUNCT
cuesj-522	64	45	1	1	NUM
cuesj-522	64	46	)	)	PUNCT
cuesj-522	64	47	s	s	PART
cuesj-522	64	48	−=∝	−=∝	NOUN
cuesj-522	64	49	+	+	CCONJ
cuesj-522	64	50	−	−	PROPN
cuesj-522	64	51	∝	∝	NOUN
cuesj-522	64	52	(	(	PUNCT
cuesj-522	64	53	6	6	NUM
cuesj-522	64	54	)	)	PUNCT
cuesj-522	64	55	note	note	NOUN
cuesj-522	64	56	.	.	PUNCT
cuesj-522	65	1	the	the	DET
cuesj-522	65	2	values	value	NOUN
cuesj-522	65	3	of	of	ADP
cuesj-522	65	4	1	1	NUM
cuesj-522	65	5	2	2	NUM
cuesj-522	65	6	1	1	NUM
cuesj-522	65	7	1	1	NUM
cuesj-522	65	8	1(s	1(s	NUM
cuesj-522	65	9	s	s	NOUN
cuesj-522	65	10	x	x	NOUN
cuesj-522	65	11	)	)	PUNCT
cuesj-522	65	12	=	=	SYM
cuesj-522	66	1	=	=	PUNCT
cuesj-522	66	2	in	in	ADP
cuesj-522	66	3	period	period	NOUN
cuesj-522	66	4	(	(	PUNCT
cuesj-522	66	5	t	t	NOUN
cuesj-522	66	6	=	=	SYM
cuesj-522	66	7	1	1	NUM
cuesj-522	66	8	)	)	PUNCT
cuesj-522	66	9	.	.	PUNCT
cuesj-522	67	1	holt	holt	PROPN
cuesj-522	67	2	’s	’s	PART
cuesj-522	67	3	linear	linear	PROPN
cuesj-522	67	4	exponential	exponential	NOUN
cuesj-522	67	5	smoothing	smooth	VERB
cuesj-522	67	6	holt	holt	PROPN
cuesj-522	67	7	(	(	PUNCT
cuesj-522	67	8	1957	1957	NUM
cuesj-522	67	9	)	)	PUNCT
cuesj-522	67	10	expanded	expand	VERB
cuesj-522	67	11	simple	simple	ADJ
cuesj-522	67	12	exponential	exponential	NOUN
cuesj-522	67	13	smoothing	smoothing	NOUN
cuesj-522	67	14	to	to	PART
cuesj-522	67	15	permit	permit	VERB
cuesj-522	67	16	for	for	ADP
cuesj-522	67	17	trends	trend	NOUN
cuesj-522	67	18	predictions	prediction	NOUN
cuesj-522	67	19	in	in	ADP
cuesj-522	67	20	data	datum	NOUN
cuesj-522	67	21	.	.	PUNCT
cuesj-522	68	1	this	this	DET
cuesj-522	68	2	approach	approach	NOUN
cuesj-522	68	3	employs	employ	VERB
cuesj-522	68	4	a	a	DET
cuesj-522	68	5	prediction	prediction	NOUN
cuesj-522	68	6	equation	equation	NOUN
cuesj-522	68	7	as	as	ADV
cuesj-522	68	8	well	well	ADV
cuesj-522	68	9	as	as	ADP
cuesj-522	68	10	2	2	NUM
cuesj-522	68	11	smoothing	smoothing	NOUN
cuesj-522	68	12	equations	equation	NOUN
cuesj-522	68	13	(	(	PUNCT
cuesj-522	68	14	one	one	NUM
cuesj-522	68	15	for	for	ADP
cuesj-522	68	16	each	each	DET
cuesj-522	68	17	level	level	NOUN
cuesj-522	68	18	as	as	ADV
cuesj-522	68	19	well	well	ADV
cuesj-522	68	20	as	as	ADP
cuesj-522	68	21	one	one	NUM
cuesj-522	68	22	for	for	ADP
cuesj-522	68	23	each	each	DET
cuesj-522	68	24	trend).[4,7	trend).[4,7	PROPN
cuesj-522	68	25	-	-	PUNCT
cuesj-522	68	26	10	10	NUM
cuesj-522	68	27	]	]	PUNCT
cuesj-522	68	28	ˆ	ˆ	ADJ
cuesj-522	68	29	   	   	SPACE
cuesj-522	68	30	t	t	PROPN
cuesj-522	68	31	m	m	VERB
cuesj-522	68	32	t	t	NOUN
cuesj-522	68	33	tz	tz	NOUN
cuesj-522	68	34	l	l	NOUN
cuesj-522	68	35	mb+	mb+	NOUN
cuesj-522	69	1	=	=	PUNCT
cuesj-522	70	1	+	+	NUM
cuesj-522	70	2	forecast	forecast	NOUN
cuesj-522	70	3	equation	equation	NOUN
cuesj-522	70	4	(	(	PUNCT
cuesj-522	70	5	7	7	NUM
cuesj-522	70	6	)	)	SYM
cuesj-522	70	7	1	1	NUM
cuesj-522	70	8	1	1	NUM
cuesj-522	70	9	  	  	SPACE
cuesj-522	70	10	(	(	PUNCT
cuesj-522	70	11	1	1	NUM
cuesj-522	70	12	)	)	PUNCT
cuesj-522	70	13	(	(	PUNCT
cuesj-522	70	14	)	)	PUNCT
cuesj-522	70	15	t	t	NOUN
cuesj-522	70	16	t	t	PROPN
cuesj-522	70	17	t	t	X
cuesj-522	70	18	tl	tl	PROPN
cuesj-522	70	19	z	z	PROPN
cuesj-522	70	20	l	l	NOUN
cuesj-522	70	21	b−	b−	PROPN
cuesj-522	70	22	−=∝	−=∝	NOUN
cuesj-522	70	23	+	+	CCONJ
cuesj-522	70	24	−	−	PROPN
cuesj-522	70	25	∝	∝	NOUN
cuesj-522	70	26	+	+	CCONJ
cuesj-522	70	27	level	level	NOUN
cuesj-522	70	28	equation	equation	NOUN
cuesj-522	70	29	(	(	PUNCT
cuesj-522	70	30	8)	8)	NUM
cuesj-522	70	31	(	(	PUNCT
cuesj-522	70	32	)	)	PUNCT
cuesj-522	70	33	1	1	NUM
cuesj-522	70	34	1(1	1(1	NUM
cuesj-522	70	35	   	   	SPACE
cuesj-522	70	36	)	)	PUNCT
cuesj-522	70	37	t	t	PROPN
cuesj-522	70	38	t	t	PROPN
cuesj-522	70	39	t	t	NOUN
cuesj-522	70	40	tb	tb	ADP
cuesj-522	70	41	l	l	NOUN
cuesj-522	70	42	l	l	NOUN
cuesj-522	70	43	bβ	bβ	NOUN
cuesj-522	70	44	β−	β−	PROPN
cuesj-522	70	45	−=	−=	NOUN
cuesj-522	70	46	−	−	NOUN
cuesj-522	70	47	+	+	CCONJ
cuesj-522	70	48	−	−	NOUN
cuesj-522	70	49	trend	trend	NOUN
cuesj-522	70	50	equation	equation	NOUN
cuesj-522	70	51	(	(	PUNCT
cuesj-522	70	52	9	9	NUM
cuesj-522	70	53	)	)	PUNCT
cuesj-522	70	54	where	where	SCONJ
cuesj-522	70	55	:	:	PUNCT
cuesj-522	70	56	lt	lt	NOUN
cuesj-522	70	57	:	:	PUNCT
cuesj-522	70	58	denotes	denote	VERB
cuesj-522	70	59	an	an	DET
cuesj-522	70	60	estimate	estimate	NOUN
cuesj-522	70	61	of	of	ADP
cuesj-522	70	62	the	the	DET
cuesj-522	70	63	level	level	NOUN
cuesj-522	70	64	of	of	ADP
cuesj-522	70	65	the	the	DET
cuesj-522	70	66	series	series	NOUN
cuesj-522	70	67	at	at	ADP
cuesj-522	70	68	time	time	NOUN
cuesj-522	70	69	t.	t.	PROPN
cuesj-522	70	70	bt	bt	PROPN
cuesj-522	70	71	:	:	PUNCT
cuesj-522	70	72	denotes	denote	VERB
cuesj-522	70	73	an	an	DET
cuesj-522	70	74	estimate	estimate	NOUN
cuesj-522	70	75	of	of	ADP
cuesj-522	70	76	the	the	DET
cuesj-522	70	77	trend	trend	NOUN
cuesj-522	70	78	(	(	PUNCT
cuesj-522	70	79	slope	slope	NOUN
cuesj-522	70	80	)	)	PUNCT
cuesj-522	70	81	of	of	ADP
cuesj-522	70	82	the	the	DET
cuesj-522	70	83	series	series	NOUN
cuesj-522	70	84	at	at	ADP
cuesj-522	70	85	time	time	NOUN
cuesj-522	70	86	t.	t.	NOUN
cuesj-522	70	87	table	table	NOUN
cuesj-522	70	88	1	1	NUM
cuesj-522	70	89	:	:	PUNCT
cuesj-522	70	90	mape	mape	NOUN
cuesj-522	70	91	score	score	NOUN
cuesj-522	70	92	significantly	significantly	ADV
cuesj-522	70	93	mape	mape	VERB
cuesj-522	70	94	significantly	significantly	ADV
cuesj-522	70	95	<	<	X
cuesj-522	70	96	10	10	NUM
cuesj-522	70	97	%	%	NOUN
cuesj-522	70	98	excellent	excellent	ADJ
cuesj-522	70	99	forecasting	forecasting	NOUN
cuesj-522	70	100	ability	ability	NOUN
cuesj-522	70	101	10–20	10–20	NUM
cuesj-522	70	102	%	%	NOUN
cuesj-522	70	103	good	good	ADJ
cuesj-522	70	104	forecasting	forecasting	NOUN
cuesj-522	70	105	ability	ability	NOUN
cuesj-522	70	106	20–50	20–50	NUM
cuesj-522	70	107	%	%	NOUN
cuesj-522	70	108	reasonable	reasonable	ADJ
cuesj-522	70	109	forecasting	forecasting	NOUN
cuesj-522	70	110	ability	ability	NOUN
cuesj-522	70	111	>	>	PUNCT
cuesj-522	70	112	50	50	NUM
cuesj-522	70	113	%	%	NOUN
cuesj-522	70	114	bad	bad	ADJ
cuesj-522	70	115	forecasting	forecasting	NOUN
cuesj-522	70	116	ability	ability	NOUN
cuesj-522	70	117	omer	omer	PROPN
cuesj-522	70	118	,	,	PUNCT
cuesj-522	70	119	et	et	PROPN
cuesj-522	70	120	al	al	PROPN
cuesj-522	70	121	.	.	PROPN
cuesj-522	70	122	:	:	PUNCT
cuesj-522	71	1	brown	brown	PROPN
cuesj-522	71	2	’s	’s	PART
cuesj-522	71	3	and	and	CCONJ
cuesj-522	71	4	holt	holt	PROPN
cuesj-522	71	5	’s	’s	PART
cuesj-522	71	6	double	double	ADJ
cuesj-522	71	7	exponential	exponential	NOUN
cuesj-522	71	8	smoothing	smooth	VERB
cuesj-522	71	9	58	58	NUM
cuesj-522	71	10	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-522	71	11	cuesj	cuesj	ADJ
cuesj-522	71	12	2021	2021	NUM
cuesj-522	71	13	,	,	PUNCT
cuesj-522	71	14	5	5	NUM
cuesj-522	71	15	(	(	PUNCT
cuesj-522	71	16	2	2	NUM
cuesj-522	71	17	):	):	PUNCT
cuesj-522	71	18	56	56	NUM
cuesj-522	71	19	-	-	SYM
cuesj-522	71	20	63	63	NUM
cuesj-522	71	21	∝	∝	NOUN
cuesj-522	71	22	:	:	PUNCT
cuesj-522	71	23	smoothing	smooth	VERB
cuesj-522	71	24	constant	constant	ADJ
cuesj-522	71	25	for	for	ADP
cuesj-522	71	26	the	the	DET
cuesj-522	71	27	data	datum	NOUN
cuesj-522	71	28	(	(	PUNCT
cuesj-522	71	29	0<∝<1	0<∝<1	NUM
cuesj-522	71	30	)	)	PUNCT
cuesj-522	71	31	β	β	X
cuesj-522	71	32	:	:	PUNCT
cuesj-522	71	33	smoothing	smooth	VERB
cuesj-522	71	34	constant	constant	ADJ
cuesj-522	71	35	for	for	ADP
cuesj-522	71	36	the	the	DET
cuesj-522	71	37	trend	trend	NOUN
cuesj-522	71	38	estimate	estimate	NOUN
cuesj-522	71	39	(	(	PUNCT
cuesj-522	71	40	0	0	NUM
cuesj-522	71	41	<	<	X
cuesj-522	71	42	β<1	β<1	NOUN
cuesj-522	71	43	)	)	PUNCT
cuesj-522	71	44	m	m	ADP
cuesj-522	71	45	:	:	PUNCT
cuesj-522	71	46	the	the	DET
cuesj-522	71	47	number	number	NOUN
cuesj-522	71	48	of	of	ADP
cuesj-522	71	49	periods	period	NOUN
cuesj-522	71	50	ahead	ahead	ADV
cuesj-522	71	51	to	to	PART
cuesj-522	71	52	be	be	AUX
cuesj-522	71	53	forecast	forecast	VERB
cuesj-522	71	54	ˆ	ˆ	ADP
cuesj-522	71	55	t	t	PROPN
cuesj-522	71	56	mz	mz	PROPN
cuesj-522	71	57	+	+	CCONJ
cuesj-522	71	58	:	:	PUNCT
cuesj-522	71	59	double	double	ADJ
cuesj-522	71	60	forecast	forecast	NOUN
cuesj-522	71	61	value	value	NOUN
cuesj-522	71	62	of	of	ADP
cuesj-522	71	63	period	period	NOUN
cuesj-522	71	64	(	(	PUNCT
cuesj-522	71	65	t+m	t+m	PRON
cuesj-522	71	66	)	)	PUNCT
cuesj-522	71	67	note	note	NOUN
cuesj-522	71	68	:	:	PUNCT
cuesj-522	71	69	initialization	initialization	NOUN
cuesj-522	71	70	level	level	NOUN
cuesj-522	71	71	l1	l1	PROPN
cuesj-522	71	72	=	=	SYM
cuesj-522	71	73	z1	z1	PROPN
cuesj-522	71	74	and	and	CCONJ
cuesj-522	71	75	trend	trend	NOUN
cuesj-522	71	76	:	:	PUNCT
cuesj-522	71	77	4	4	NUM
cuesj-522	71	78	12	12	NUM
cuesj-522	71	79	1	1	NUM
cuesj-522	71	80	1	1	NUM
cuesj-522	71	81	2	2	NUM
cuesj-522	71	82	1	1	NUM
cuesj-522	71	83	4	4	NUM
cuesj-522	71	84	1	1	NUM
cuesj-522	71	85	(	(	PUNCT
cuesj-522	71	86	z	z	NOUN
cuesj-522	71	87	z	z	NOUN
cuesj-522	71	88	)	)	PUNCT
cuesj-522	71	89	(	(	PUNCT
cuesj-522	71	90	z	z	NOUN
cuesj-522	71	91	z	z	NOUN
cuesj-522	71	92	)	)	PUNCT
cuesj-522	71	93	b	b	PROPN
cuesj-522	71	94	(	(	PUNCT
cuesj-522	71	95	b	b	PROPN
cuesj-522	71	96	b	b	PROPN
cuesj-522	71	97	)	)	PUNCT
cuesj-522	71	98	(	(	PUNCT
cuesj-522	71	99	b	b	PROPN
cuesj-522	71	100	b	b	NOUN
cuesj-522	71	101	)	)	PUNCT
cuesj-522	71	102	or	or	CCONJ
cuesj-522	71	103	−−	−−	NOUN
cuesj-522	71	104	=	=	PUNCT
cuesj-522	72	1	−	−	PROPN
cuesj-522	72	2	−	−	PROPN
cuesj-522	72	3	.	.	PUNCT
cuesj-522	73	1	parameter	parameter	PROPN
cuesj-522	73	2	optimization	optimization	NOUN
cuesj-522	73	3	to	to	PART
cuesj-522	73	4	reduce	reduce	VERB
cuesj-522	73	5	mape	mape	NOUN
cuesj-522	73	6	,	,	PUNCT
cuesj-522	73	7	the	the	DET
cuesj-522	73	8	golden	golden	ADJ
cuesj-522	73	9	section	section	NOUN
cuesj-522	73	10	approach	approach	NOUN
cuesj-522	73	11	was	be	AUX
cuesj-522	73	12	used	use	VERB
cuesj-522	73	13	to	to	PART
cuesj-522	73	14	optimize	optimize	VERB
cuesj-522	73	15	the	the	DET
cuesj-522	73	16	parameters	parameter	NOUN
cuesj-522	73	17	.	.	PUNCT
cuesj-522	74	1	mape	mape	NOUN
cuesj-522	74	2	was	be	AUX
cuesj-522	74	3	determined	determine	VERB
cuesj-522	74	4	from	from	ADP
cuesj-522	74	5	brown	brown	NOUN
cuesj-522	74	6	as	as	ADV
cuesj-522	74	7	well	well	ADV
cuesj-522	74	8	as	as	ADP
cuesj-522	74	9	holt	holt	PROPN
cuesj-522	74	10	predictions	prediction	NOUN
cuesj-522	74	11	as	as	ADV
cuesj-522	74	12	well	well	ADV
cuesj-522	74	13	as	as	ADP
cuesj-522	74	14	contrasted	contrast	VERB
cuesj-522	74	15	to	to	ADP
cuesj-522	74	16	actual	actual	ADJ
cuesj-522	74	17	results	result	NOUN
cuesj-522	74	18	.	.	PUNCT
cuesj-522	75	1	the	the	DET
cuesj-522	75	2	technique	technique	NOUN
cuesj-522	75	3	of	of	ADP
cuesj-522	75	4	golden	golden	ADJ
cuesj-522	75	5	section	section	NOUN
cuesj-522	75	6	was	be	AUX
cuesj-522	75	7	used	use	VERB
cuesj-522	75	8	to	to	PART
cuesj-522	75	9	optimize	optimize	VERB
cuesj-522	75	10	the	the	DET
cuesj-522	75	11	parameters	parameter	NOUN
cuesj-522	75	12	(	(	PUNCT
cuesj-522	75	13	)	)	PUNCT
cuesj-522	75	14	on	on	ADP
cuesj-522	75	15	des	des	PROPN
cuesj-522	75	16	brown	brown	PROPN
cuesj-522	75	17	,	,	PUNCT
cuesj-522	75	18	while	while	SCONJ
cuesj-522	75	19	a	a	DET
cuesj-522	75	20	modified	modify	VERB
cuesj-522	75	21	version	version	NOUN
cuesj-522	75	22	of	of	ADP
cuesj-522	75	23	the	the	DET
cuesj-522	75	24	method	method	NOUN
cuesj-522	75	25	of	of	ADP
cuesj-522	75	26	golden	golden	ADJ
cuesj-522	75	27	section	section	NOUN
cuesj-522	75	28	was	be	AUX
cuesj-522	75	29	used	use	VERB
cuesj-522	75	30	to	to	PART
cuesj-522	75	31	optimize	optimize	VERB
cuesj-522	75	32	the	the	DET
cuesj-522	75	33	parameters	parameter	NOUN
cuesj-522	75	34	(	(	PUNCT
cuesj-522	75	35	∝	∝	NOUN
cuesj-522	75	36	and	and	CCONJ
cuesj-522	75	37	β	β	X
cuesj-522	75	38	)	)	PUNCT
cuesj-522	75	39	on	on	ADP
cuesj-522	75	40	des	des	PROPN
cuesj-522	75	41	holt.[6	holt.[6	PROPN
cuesj-522	75	42	]	]	PUNCT
cuesj-522	75	43	accuracy	accuracy	NOUN
cuesj-522	75	44	measures	measure	NOUN
cuesj-522	75	45	for	for	ADP
cuesj-522	75	46	predicting	predict	VERB
cuesj-522	75	47	while	while	SCONJ
cuesj-522	75	48	choosing	choose	VERB
cuesj-522	75	49	between	between	ADP
cuesj-522	75	50	various	various	ADJ
cuesj-522	75	51	alternatives	alternative	NOUN
cuesj-522	75	52	,	,	PUNCT
cuesj-522	75	53	forecasting	forecasting	NOUN
cuesj-522	75	54	accuracy	accuracy	NOUN
cuesj-522	75	55	is	be	AUX
cuesj-522	75	56	critical	critical	ADJ
cuesj-522	75	57	.	.	PUNCT
cuesj-522	76	1	in	in	ADP
cuesj-522	76	2	this	this	DET
cuesj-522	76	3	context	context	NOUN
cuesj-522	76	4	,	,	PUNCT
cuesj-522	76	5	accuracy	accuracy	NOUN
cuesj-522	76	6	means	mean	VERB
cuesj-522	76	7	to	to	ADP
cuesj-522	76	8	predicting	predict	VERB
cuesj-522	76	9	errors	error	NOUN
cuesj-522	76	10	that	that	PRON
cuesj-522	76	11	are	be	AUX
cuesj-522	76	12	the	the	DET
cuesj-522	76	13	difference	difference	NOUN
cuesj-522	76	14	among	among	ADP
cuesj-522	76	15	the	the	DET
cuesj-522	76	16	actual	actual	ADJ
cuesj-522	76	17	as	as	ADV
cuesj-522	76	18	well	well	ADV
cuesj-522	76	19	as	as	ADP
cuesj-522	76	20	predicted	predict	VERB
cuesj-522	76	21	values	value	NOUN
cuesj-522	76	22	for	for	ADP
cuesj-522	76	23	a	a	DET
cuesj-522	76	24	particular	particular	ADJ
cuesj-522	76	25	time	time	NOUN
cuesj-522	76	26	.	.	PUNCT
cuesj-522	77	1	the	the	DET
cuesj-522	77	2	forecasting	forecasting	NOUN
cuesj-522	77	3	error	error	NOUN
cuesj-522	77	4	determination	determination	NOUN
cuesj-522	77	5	mape	mape	NOUN
cuesj-522	77	6	is	be	AUX
cuesj-522	77	7	utilized	utilize	VERB
cuesj-522	77	8	in	in	ADP
cuesj-522	77	9	this	this	DET
cuesj-522	77	10	investigation	investigation	NOUN
cuesj-522	77	11	(	(	PUNCT
cuesj-522	77	12	mape	mape	NOUN
cuesj-522	77	13	)	)	PUNCT
cuesj-522	77	14	.	.	PUNCT
cuesj-522	78	1	mape	mape	NOUN
cuesj-522	78	2	is	be	AUX
cuesj-522	78	3	a	a	DET
cuesj-522	78	4	measurement	measurement	NOUN
cuesj-522	78	5	that	that	PRON
cuesj-522	78	6	reflects	reflect	VERB
cuesj-522	78	7	the	the	DET
cuesj-522	78	8	proportion	proportion	NOUN
cuesj-522	78	9	of	of	ADP
cuesj-522	78	10	average	average	ADJ
cuesj-522	78	11	absolute	absolute	ADJ
cuesj-522	78	12	error	error	NOUN
cuesj-522	78	13	that	that	PRON
cuesj-522	78	14	has	have	VERB
cuesj-522	78	15	happened.[1,8	happened.[1,8	X
cuesj-522	78	16	]	]	X
cuesj-522	79	1	this	this	DET
cuesj-522	79	2	measure	measure	NOUN
cuesj-522	79	3	is	be	AUX
cuesj-522	79	4	given	give	VERB
cuesj-522	79	5	by	by	ADP
cuesj-522	79	6	1	1	NUM
cuesj-522	79	7	1	1	NUM
cuesj-522	79	8	1	1	NUM
cuesj-522	79	9	1	1	NUM
cuesj-522	79	10	*	*	SYM
cuesj-522	79	11	100	100	NUM
cuesj-522	79	12	ˆ	ˆ	NOUN
cuesj-522	79	13	*	*	SYM
cuesj-522	79	14	100	100	NUM
cuesj-522	79	15	n	n	ADP
cuesj-522	79	16	n	n	NOUN
cuesj-522	79	17	t	t	NOUN
cuesj-522	79	18	t	t	PROPN
cuesj-522	79	19	t	t	PROPN
cuesj-522	79	20	t	t	PROPN
cuesj-522	79	21	tt	tt	PROPN
cuesj-522	79	22	t	t	PROPN
cuesj-522	79	23	e	e	PROPN
cuesj-522	79	24	z	z	PROPN
cuesj-522	79	25	z	z	PROPN
cuesj-522	79	26	mape	mape	PROPN
cuesj-522	79	27	n	n	ADP
cuesj-522	79	28	z	z	NOUN
cuesj-522	79	29	n	n	NOUN
cuesj-522	79	30	z=	z=	NOUN
cuesj-522	79	31	=	=	SYM
cuesj-522	80	1	−	−	PROPN
cuesj-522	80	2	=	=	PUNCT
cuesj-522	81	1	=	=	NOUN
cuesj-522	81	2	∑	∑	PROPN
cuesj-522	81	3	∑	∑	PROPN
cuesj-522	81	4	(	(	PUNCT
cuesj-522	81	5	10	10	NUM
cuesj-522	81	6	)	)	PUNCT
cuesj-522	81	7	where	where	SCONJ
cuesj-522	81	8	:	:	PUNCT
cuesj-522	81	9	zt	zt	PROPN
cuesj-522	81	10	:	:	PUNCT
cuesj-522	81	11	actual	actual	ADJ
cuesj-522	81	12	demand	demand	NOUN
cuesj-522	81	13	for	for	ADP
cuesj-522	81	14	time	time	NOUN
cuesj-522	81	15	period	period	NOUN
cuesj-522	81	16	t	t	PROPN
cuesj-522	81	17	tẑ	tẑ	NUM
cuesj-522	81	18	:	:	PUNCT
cuesj-522	81	19	forecast	forecast	NOUN
cuesj-522	81	20	demand	demand	NOUN
cuesj-522	81	21	for	for	ADP
cuesj-522	81	22	time	time	NOUN
cuesj-522	81	23	period	period	NOUN
cuesj-522	81	24	t	t	PROPN
cuesj-522	81	25	n	n	CCONJ
cuesj-522	81	26	:	:	PUNCT
cuesj-522	81	27	specified	specify	VERB
cuesj-522	81	28	number	number	NOUN
cuesj-522	81	29	of	of	ADP
cuesj-522	81	30	time	time	NOUN
cuesj-522	81	31	period	period	NOUN
cuesj-522	81	32	t	t	PROPN
cuesj-522	81	33	t	t	PROPN
cuesj-522	81	34	t	t	PROPN
cuesj-522	81	35	:	:	PUNCT
cuesj-522	81	36	e	e	PROPN
cuesj-522	81	37	z	z	PROPN
cuesj-522	81	38	ẑ−	ẑ−	PROPN
cuesj-522	81	39	.	.	PUNCT
cuesj-522	82	1	results	result	NOUN
cuesj-522	82	2	in	in	ADP
cuesj-522	82	3	this	this	DET
cuesj-522	82	4	part	part	NOUN
cuesj-522	82	5	,	,	PUNCT
cuesj-522	82	6	we	we	PRON
cuesj-522	82	7	apply	apply	VERB
cuesj-522	82	8	the	the	DET
cuesj-522	82	9	previously	previously	ADV
cuesj-522	82	10	discussed	discuss	VERB
cuesj-522	82	11	exponential	exponential	ADJ
cuesj-522	82	12	smoothing	smoothing	NOUN
cuesj-522	82	13	methods	method	NOUN
cuesj-522	82	14	to	to	PART
cuesj-522	82	15	analyses	analysis	NOUN
cuesj-522	82	16	time	time	NOUN
cuesj-522	82	17	series	series	NOUN
cuesj-522	82	18	for	for	ADP
cuesj-522	82	19	generating	generate	VERB
cuesj-522	82	20	electrical	electrical	ADJ
cuesj-522	82	21	energies	energy	NOUN
cuesj-522	82	22	utilizing	utilize	VERB
cuesj-522	82	23	brown	brown	PROPN
cuesj-522	82	24	’s	’s	ADV
cuesj-522	82	25	and	and	CCONJ
cuesj-522	82	26	holt	holt	PROPN
cuesj-522	82	27	’s	’s	PART
cuesj-522	82	28	des	des	PROPN
cuesj-522	82	29	for	for	ADP
cuesj-522	82	30	the	the	PRON
cuesj-522	82	31	for	for	ADP
cuesj-522	82	32	casting	cast	VERB
cuesj-522	82	33	applicable	applicable	ADJ
cuesj-522	82	34	generation	generation	NOUN
cuesj-522	82	35	electrical	electrical	ADJ
cuesj-522	82	36	energies	energy	NOUN
cuesj-522	82	37	in	in	ADP
cuesj-522	82	38	kurdistan	kurdistan	PROPN
cuesj-522	82	39	area	area	NOUN
cuesj-522	82	40	for	for	ADP
cuesj-522	82	41	(	(	PUNCT
cuesj-522	82	42	132	132	NUM
cuesj-522	82	43	)	)	PUNCT
cuesj-522	82	44	months	month	NOUN
cuesj-522	82	45	from	from	ADP
cuesj-522	82	46	2010	2010	NUM
cuesj-522	82	47	to	to	ADP
cuesj-522	82	48	2020	2020	NUM
cuesj-522	82	49	.	.	PUNCT
cuesj-522	83	1	trend	trend	NOUN
cuesj-522	83	2	of	of	ADP
cuesj-522	83	3	the	the	DET
cuesj-522	83	4	generation	generation	NOUN
cuesj-522	83	5	electrical	electrical	ADJ
cuesj-522	83	6	energies	energy	NOUN
cuesj-522	83	7	data	datum	NOUN
cuesj-522	83	8	on	on	ADP
cuesj-522	83	9	generation	generation	NOUN
cuesj-522	83	10	electrical	electrical	ADJ
cuesj-522	83	11	energies	energy	NOUN
cuesj-522	83	12	were	be	AUX
cuesj-522	83	13	received	receive	VERB
cuesj-522	83	14	and	and	CCONJ
cuesj-522	83	15	then	then	ADV
cuesj-522	83	16	plotted	plot	VERB
cuesj-522	83	17	onto	onto	ADP
cuesj-522	83	18	the	the	DET
cuesj-522	83	19	graph	graph	NOUN
cuesj-522	83	20	to	to	PART
cuesj-522	83	21	identify	identify	VERB
cuesj-522	83	22	the	the	DET
cuesj-522	83	23	data	data	NOUN
cuesj-522	83	24	patterns	pattern	NOUN
cuesj-522	83	25	(	(	PUNCT
cuesj-522	83	26	look	look	VERB
cuesj-522	83	27	figure	figure	NOUN
cuesj-522	83	28	1	1	NUM
cuesj-522	83	29	)	)	PUNCT
cuesj-522	83	30	.	.	PUNCT
cuesj-522	84	1	according	accord	VERB
cuesj-522	84	2	to	to	ADP
cuesj-522	84	3	the	the	DET
cuesj-522	84	4	time	time	NOUN
cuesj-522	84	5	series	series	PROPN
cuesj-522	84	6	plot	plot	PROPN
cuesj-522	84	7	,	,	PUNCT
cuesj-522	84	8	a	a	DET
cuesj-522	84	9	(	(	PUNCT
cuesj-522	84	10	generation	generation	NOUN
cuesj-522	84	11	electrical	electrical	ADJ
cuesj-522	84	12	energies	energy	NOUN
cuesj-522	84	13	)	)	PUNCT
cuesj-522	84	14	data	datum	NOUN
cuesj-522	84	15	are	be	AUX
cuesj-522	84	16	now	now	ADV
cuesj-522	84	17	on	on	ADP
cuesj-522	84	18	the	the	DET
cuesj-522	84	19	long	long	ADJ
cuesj-522	84	20	-	-	PUNCT
cuesj-522	84	21	term	term	NOUN
cuesj-522	84	22	secular	secular	ADJ
cuesj-522	84	23	decrease	decrease	NOUN
cuesj-522	84	24	,	,	PUNCT
cuesj-522	84	25	though	though	SCONJ
cuesj-522	84	26	at	at	ADP
cuesj-522	84	27	the	the	DET
cuesj-522	84	28	some	some	DET
cuesj-522	84	29	point	point	NOUN
cuesj-522	84	30	the	the	DET
cuesj-522	84	31	period	period	NOUN
cuesj-522	84	32	of	of	ADP
cuesj-522	84	33	enhance	enhance	NOUN
cuesj-522	84	34	was	be	AUX
cuesj-522	84	35	not	not	PART
cuesj-522	84	36	important	important	ADJ
cuesj-522	84	37	at	at	ADP
cuesj-522	84	38	times	time	NOUN
cuesj-522	84	39	.	.	PUNCT
cuesj-522	85	1	a	a	DET
cuesj-522	85	2	rise	rise	NOUN
cuesj-522	85	3	in	in	ADP
cuesj-522	85	4	certain	certain	ADJ
cuesj-522	85	5	times	time	NOUN
cuesj-522	85	6	could	could	AUX
cuesj-522	85	7	be	be	AUX
cuesj-522	85	8	considered	consider	VERB
cuesj-522	85	9	non	non	ADJ
cuesj-522	85	10	-	-	ADJ
cuesj-522	85	11	seasonal	seasonal	ADJ
cuesj-522	85	12	since	since	SCONJ
cuesj-522	85	13	it	it	PRON
cuesj-522	85	14	did	do	AUX
cuesj-522	85	15	not	not	PART
cuesj-522	85	16	occur	occur	VERB
cuesj-522	85	17	at	at	ADP
cuesj-522	85	18	the	the	DET
cuesj-522	85	19	same	same	ADJ
cuesj-522	85	20	time	time	NOUN
cuesj-522	85	21	each	each	DET
cuesj-522	85	22	month	month	NOUN
cuesj-522	85	23	.	.	PUNCT
cuesj-522	86	1	for	for	ADP
cuesj-522	86	2	generation	generation	NOUN
cuesj-522	86	3	electrical	electrical	ADJ
cuesj-522	86	4	energies	energy	NOUN
cuesj-522	86	5	,	,	PUNCT
cuesj-522	86	6	this	this	DET
cuesj-522	86	7	method	method	NOUN
cuesj-522	86	8	creates	create	VERB
cuesj-522	86	9	different	different	ADJ
cuesj-522	86	10	table	table	NOUN
cuesj-522	86	11	2	2	NUM
cuesj-522	86	12	and	and	CCONJ
cuesj-522	86	13	charts	chart	NOUN
cuesj-522	86	14	.	.	PUNCT
cuesj-522	87	1	the	the	DET
cuesj-522	87	2	data	datum	NOUN
cuesj-522	87	3	cover	cover	VERB
cuesj-522	87	4	132	132	NUM
cuesj-522	87	5	time	time	NOUN
cuesj-522	87	6	periods	period	NOUN
cuesj-522	87	7	.	.	PUNCT
cuesj-522	88	1	estimated	estimate	VERB
cuesj-522	88	2	partial	partial	ADJ
cuesj-522	88	3	autocorrelations	autocorrelation	NOUN
cuesj-522	88	4	and	and	CCONJ
cuesj-522	88	5	partial	partial	ADJ
cuesj-522	88	6	auto	auto	NOUN
cuesj-522	88	7	correlation	correlation	NOUN
cuesj-522	88	8	function	function	NOUN
cuesj-522	88	9	(	(	PUNCT
cuesj-522	88	10	acf	acf	PROPN
cuesj-522	88	11	)	)	PUNCT
cuesj-522	88	12	for	for	ADP
cuesj-522	88	13	generation	generation	NOUN
cuesj-522	88	14	electrical	electrical	ADJ
cuesj-522	88	15	energies	energy	NOUN
cuesj-522	88	16	estimated	estimate	VERB
cuesj-522	88	17	autocorrelations	autocorrelation	NOUN
cuesj-522	88	18	for	for	ADP
cuesj-522	88	19	generation	generation	NOUN
cuesj-522	88	20	electrical	electrical	ADJ
cuesj-522	88	21	energies	energy	NOUN
cuesj-522	88	22	the	the	DET
cuesj-522	88	23	measured	measure	VERB
cuesj-522	88	24	autocorrelations	autocorrelation	NOUN
cuesj-522	88	25	among	among	ADP
cuesj-522	88	26	residuals	residual	NOUN
cuesj-522	88	27	at	at	ADP
cuesj-522	88	28	different	different	ADJ
cuesj-522	88	29	lags	lag	NOUN
cuesj-522	88	30	are	be	AUX
cuesj-522	88	31	shown	show	VERB
cuesj-522	88	32	in	in	ADP
cuesj-522	88	33	this	this	DET
cuesj-522	88	34	table	table	NOUN
cuesj-522	88	35	2	2	NUM
cuesj-522	88	36	.	.	PUNCT
cuesj-522	88	37	a	a	DET
cuesj-522	88	38	lag	lag	NOUN
cuesj-522	88	39	k	k	PROPN
cuesj-522	88	40	autocorrelation	autocorrelation	NOUN
cuesj-522	88	41	coefficient	coefficient	NOUN
cuesj-522	88	42	assesses	assess	VERB
cuesj-522	88	43	a	a	DET
cuesj-522	88	44	relationship	relationship	NOUN
cuesj-522	88	45	among	among	ADP
cuesj-522	88	46	residuals	residual	NOUN
cuesj-522	88	47	for	for	ADP
cuesj-522	88	48	time	time	NOUN
cuesj-522	88	49	t	t	NOUN
cuesj-522	88	50	and	and	CCONJ
cuesj-522	88	51	time	time	NOUN
cuesj-522	88	52	t	t	PROPN
cuesj-522	88	53	-	-	PUNCT
cuesj-522	88	54	k.	k.	NOUN
cuesj-522	89	1	the	the	DET
cuesj-522	89	2	95.0	95.0	NUM
cuesj-522	89	3	%	%	NOUN
cuesj-522	89	4	probability	probability	NOUN
cuesj-522	89	5	limit	limit	NOUN
cuesj-522	89	6	about	about	ADV
cuesj-522	89	7	0	0	NUM
cuesj-522	89	8	is	be	AUX
cuesj-522	89	9	also	also	ADV
cuesj-522	89	10	indicated	indicate	VERB
cuesj-522	89	11	.	.	PUNCT
cuesj-522	90	1	unless	unless	SCONJ
cuesj-522	90	2	the	the	DET
cuesj-522	90	3	probability	probability	NOUN
cuesj-522	90	4	limit	limit	NOUN
cuesj-522	90	5	at	at	ADP
cuesj-522	90	6	a	a	DET
cuesj-522	90	7	given	give	VERB
cuesj-522	90	8	lag	lag	NOUN
cuesj-522	90	9	does	do	AUX
cuesj-522	90	10	not	not	PART
cuesj-522	90	11	include	include	VERB
cuesj-522	90	12	the	the	DET
cuesj-522	90	13	calculated	calculated	ADJ
cuesj-522	90	14	coefficient	coefficient	NOUN
cuesj-522	90	15	,	,	PUNCT
cuesj-522	90	16	there	there	PRON
cuesj-522	90	17	really	really	ADV
cuesj-522	90	18	was	be	AUX
cuesj-522	90	19	the	the	DET
cuesj-522	90	20	statistically	statistically	ADV
cuesj-522	90	21	important	important	ADJ
cuesj-522	90	22	correlation	correlation	NOUN
cuesj-522	90	23	at	at	ADP
cuesj-522	90	24	a	a	DET
cuesj-522	90	25	certain	certain	ADJ
cuesj-522	90	26	lag	lag	NOUN
cuesj-522	90	27	at	at	ADP
cuesj-522	90	28	the	the	DET
cuesj-522	90	29	95.0	95.0	NUM
cuesj-522	90	30	%	%	NOUN
cuesj-522	90	31	level	level	NOUN
cuesj-522	90	32	of	of	ADP
cuesj-522	90	33	confidence	confidence	NOUN
cuesj-522	90	34	.	.	PUNCT
cuesj-522	91	1	in	in	ADP
cuesj-522	91	2	these	these	DET
cuesj-522	91	3	situation	situation	NOUN
cuesj-522	91	4	,	,	PUNCT
cuesj-522	91	5	six	six	NUM
cuesj-522	91	6	of	of	ADP
cuesj-522	91	7	the	the	DET
cuesj-522	91	8	24	24	NUM
cuesj-522	91	9	autocorrelation	autocorrelation	NOUN
cuesj-522	91	10	coefficients	coefficient	NOUN
cuesj-522	91	11	were	be	AUX
cuesj-522	91	12	statistically	statistically	ADV
cuesj-522	91	13	important	important	ADJ
cuesj-522	91	14	at	at	ADP
cuesj-522	91	15	the	the	DET
cuesj-522	91	16	95.0	95.0	NUM
cuesj-522	91	17	%	%	NOUN
cuesj-522	91	18	confidence	confidence	NOUN
cuesj-522	91	19	level	level	NOUN
cuesj-522	91	20	,	,	PUNCT
cuesj-522	91	21	suggesting	suggest	VERB
cuesj-522	91	22	that	that	SCONJ
cuesj-522	91	23	now	now	ADV
cuesj-522	91	24	the	the	DET
cuesj-522	91	25	residuals	residual	NOUN
cuesj-522	91	26	are	be	AUX
cuesj-522	91	27	not	not	PART
cuesj-522	91	28	entirely	entirely	ADV
cuesj-522	91	29	random	random	ADJ
cuesj-522	91	30	(	(	PUNCT
cuesj-522	91	31	white	white	ADJ
cuesj-522	91	32	noise	noise	NOUN
cuesj-522	91	33	)	)	PUNCT
cuesj-522	91	34	.	.	PUNCT
cuesj-522	92	1	we	we	PRON
cuesj-522	92	2	could	could	AUX
cuesj-522	92	3	illustrate	illustrate	VERB
cuesj-522	92	4	the	the	DET
cuesj-522	92	5	autocorrelation	autocorrelation	NOUN
cuesj-522	92	6	coefficients	coefficient	NOUN
cuesj-522	92	7	by	by	ADP
cuesj-522	92	8	choosing	choose	VERB
cuesj-522	92	9	residual	residual	ADJ
cuesj-522	92	10	autocorrelation	autocorrelation	NOUN
cuesj-522	92	11	function	function	NOUN
cuesj-522	92	12	from	from	ADP
cuesj-522	92	13	of	of	ADP
cuesj-522	92	14	the	the	DET
cuesj-522	92	15	selection	selection	NOUN
cuesj-522	92	16	of	of	ADP
cuesj-522	92	17	graphical	graphical	ADJ
cuesj-522	92	18	choices	choice	NOUN
cuesj-522	92	19	.	.	PUNCT
cuesj-522	93	1	by	by	ADP
cuesj-522	93	2	using	use	VERB
cuesj-522	93	3	acf	acf	PROPN
cuesj-522	93	4	,	,	PUNCT
cuesj-522	93	5	a	a	DET
cuesj-522	93	6	connection	connection	NOUN
cuesj-522	93	7	of	of	ADP
cuesj-522	93	8	a	a	DET
cuesj-522	93	9	time	time	NOUN
cuesj-522	93	10	series	series	NOUN
cuesj-522	93	11	data	datum	NOUN
cuesj-522	93	12	through	through	ADP
cuesj-522	93	13	the	the	DET
cuesj-522	93	14	time	time	NOUN
cuesj-522	93	15	series	series	PROPN
cuesj-522	93	16	itself	itself	PRON
cuesj-522	93	17	should	should	AUX
cuesj-522	93	18	be	be	AUX
cuesj-522	93	19	computed	compute	VERB
cuesj-522	93	20	to	to	PART
cuesj-522	93	21	detect	detect	VERB
cuesj-522	93	22	data	datum	NOUN
cuesj-522	93	23	patterns	pattern	NOUN
cuesj-522	93	24	.	.	PUNCT
cuesj-522	94	1	figure	figure	NOUN
cuesj-522	94	2	2	2	NUM
cuesj-522	94	3	shows	show	VERB
cuesj-522	94	4	an	an	DET
cuesj-522	94	5	acf	acf	PROPN
cuesj-522	94	6	plot	plot	NOUN
cuesj-522	94	7	based	base	VERB
cuesj-522	94	8	on	on	ADP
cuesj-522	94	9	the	the	DET
cuesj-522	94	10	data	datum	NOUN
cuesj-522	94	11	.	.	PUNCT
cuesj-522	95	1	estimated	estimate	VERB
cuesj-522	95	2	autocorrelations	autocorrelation	NOUN
cuesj-522	95	3	for	for	ADP
cuesj-522	95	4	generation	generation	NOUN
cuesj-522	95	5	electrical	electrical	ADJ
cuesj-522	95	6	energies	energy	NOUN
cuesj-522	95	7	the	the	DET
cuesj-522	95	8	measured	measure	VERB
cuesj-522	95	9	partial	partial	ADJ
cuesj-522	95	10	autocorrelations	autocorrelation	NOUN
cuesj-522	95	11	among	among	ADP
cuesj-522	95	12	the	the	DET
cuesj-522	95	13	residuals	residual	NOUN
cuesj-522	95	14	for	for	ADP
cuesj-522	95	15	several	several	ADJ
cuesj-522	95	16	lags	lag	NOUN
cuesj-522	95	17	are	be	AUX
cuesj-522	95	18	shown	show	VERB
cuesj-522	95	19	in	in	ADP
cuesj-522	95	20	this	this	DET
cuesj-522	95	21	table	table	NOUN
cuesj-522	95	22	3	3	NUM
cuesj-522	95	23	.	.	PUNCT
cuesj-522	95	24	a	a	DET
cuesj-522	95	25	lag	lag	NOUN
cuesj-522	95	26	k	k	PROPN
cuesj-522	95	27	partial	partial	ADJ
cuesj-522	95	28	autocorrelation	autocorrelation	NOUN
cuesj-522	95	29	coefficient	coefficient	NOUN
cuesj-522	95	30	assesses	assess	VERB
cuesj-522	95	31	the	the	DET
cuesj-522	95	32	relationship	relationship	NOUN
cuesj-522	95	33	among	among	ADP
cuesj-522	95	34	the	the	DET
cuesj-522	95	35	residuals	residual	NOUN
cuesj-522	95	36	at	at	ADP
cuesj-522	95	37	time	time	NOUN
cuesj-522	95	38	t	t	NOUN
cuesj-522	95	39	and	and	CCONJ
cuesj-522	95	40	time	time	NOUN
cuesj-522	95	41	t+k	t+k	NUM
cuesj-522	95	42	once	once	ADV
cuesj-522	95	43	all	all	PRON
cuesj-522	95	44	lower	low	ADJ
cuesj-522	95	45	lags	lag	NOUN
cuesj-522	95	46	have	have	AUX
cuesj-522	95	47	been	be	AUX
cuesj-522	95	48	taken	take	VERB
cuesj-522	95	49	into	into	ADP
cuesj-522	95	50	consideration	consideration	NOUN
cuesj-522	95	51	.	.	PUNCT
cuesj-522	96	1	it	it	PRON
cuesj-522	96	2	could	could	AUX
cuesj-522	96	3	be	be	AUX
cuesj-522	96	4	used	use	VERB
cuesj-522	96	5	to	to	PART
cuesj-522	96	6	determine	determine	VERB
cuesj-522	96	7	the	the	DET
cuesj-522	96	8	order	order	NOUN
cuesj-522	96	9	in	in	ADP
cuesj-522	96	10	which	which	PRON
cuesj-522	96	11	an	an	DET
cuesj-522	96	12	autoregressive	autoregressive	ADJ
cuesj-522	96	13	model	model	NOUN
cuesj-522	96	14	should	should	AUX
cuesj-522	96	15	be	be	AUX
cuesj-522	96	16	constructed	construct	VERB
cuesj-522	96	17	to	to	PART
cuesj-522	96	18	match	match	VERB
cuesj-522	96	19	the	the	DET
cuesj-522	96	20	data	datum	NOUN
cuesj-522	96	21	.	.	PUNCT
cuesj-522	97	1	the	the	DET
cuesj-522	97	2	95.0	95.0	NUM
cuesj-522	97	3	%	%	NOUN
cuesj-522	97	4	probability	probability	NOUN
cuesj-522	97	5	limits	limit	VERB
cuesj-522	97	6	about	about	ADP
cuesj-522	97	7	0	0	NUM
cuesj-522	97	8	are	be	AUX
cuesj-522	97	9	also	also	ADV
cuesj-522	97	10	indicated	indicate	VERB
cuesj-522	97	11	.	.	PUNCT
cuesj-522	98	1	unless	unless	SCONJ
cuesj-522	98	2	the	the	DET
cuesj-522	98	3	probability	probability	NOUN
cuesj-522	98	4	limit	limit	NOUN
cuesj-522	98	5	at	at	ADP
cuesj-522	98	6	a	a	DET
cuesj-522	98	7	given	give	VERB
cuesj-522	98	8	lag	lag	NOUN
cuesj-522	98	9	does	do	AUX
cuesj-522	98	10	figure	figure	VERB
cuesj-522	98	11	1	1	NUM
cuesj-522	98	12	:	:	PUNCT
cuesj-522	98	13	plot	plot	VERB
cuesj-522	98	14	a	a	DET
cuesj-522	98	15	data	data	NOUN
cuesj-522	98	16	generation	generation	NOUN
cuesj-522	98	17	electrical	electrical	ADJ
cuesj-522	98	18	energies	energy	NOUN
cuesj-522	98	19	from	from	ADP
cuesj-522	98	20	(	(	PUNCT
cuesj-522	98	21	132	132	NUM
cuesj-522	98	22	)	)	PUNCT
cuesj-522	98	23	months	month	NOUN
cuesj-522	98	24	figure	figure	VERB
cuesj-522	98	25	2	2	NUM
cuesj-522	98	26	:	:	PUNCT
cuesj-522	98	27	auto	auto	NOUN
cuesj-522	98	28	correlation	correlation	NOUN
cuesj-522	98	29	function	function	NOUN
cuesj-522	98	30	for	for	ADP
cuesj-522	98	31	generation	generation	NOUN
cuesj-522	98	32	electrical	electrical	ADJ
cuesj-522	98	33	energies	energy	NOUN
cuesj-522	99	1	omer	omer	PROPN
cuesj-522	99	2	,	,	PUNCT
cuesj-522	99	3	et	et	PROPN
cuesj-522	99	4	al	al	PROPN
cuesj-522	99	5	.	.	PROPN
cuesj-522	99	6	:	:	PUNCT
cuesj-522	100	1	brown	brown	PROPN
cuesj-522	100	2	’s	’s	PART
cuesj-522	100	3	and	and	CCONJ
cuesj-522	100	4	holt	holt	PROPN
cuesj-522	100	5	’s	’s	PART
cuesj-522	100	6	double	double	ADJ
cuesj-522	100	7	exponential	exponential	NOUN
cuesj-522	100	8	smoothing	smooth	VERB
cuesj-522	100	9	59	59	NUM
cuesj-522	100	10	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-522	100	11	cuesj	cuesj	ADJ
cuesj-522	100	12	2021	2021	NUM
cuesj-522	100	13	,	,	PUNCT
cuesj-522	100	14	5	5	NUM
cuesj-522	100	15	(	(	PUNCT
cuesj-522	100	16	2	2	NUM
cuesj-522	100	17	):	):	PUNCT
cuesj-522	100	18	56	56	NUM
cuesj-522	100	19	-	-	SYM
cuesj-522	100	20	63	63	NUM
cuesj-522	100	21	table	table	NOUN
cuesj-522	100	22	2	2	NUM
cuesj-522	100	23	:	:	PUNCT
cuesj-522	100	24	estimated	estimate	VERB
cuesj-522	100	25	autocorrelations	autocorrelation	NOUN
cuesj-522	100	26	for	for	ADP
cuesj-522	100	27	generation	generation	NOUN
cuesj-522	100	28	electrical	electrical	ADJ
cuesj-522	100	29	energies	energy	NOUN
cuesj-522	100	30	lag	lag	VERB
cuesj-522	100	31	autocorrelation	autocorrelation	NOUN
cuesj-522	100	32	stnd	stnd	ADJ
cuesj-522	100	33	.	.	PUNCT
cuesj-522	101	1	error	error	NOUN
cuesj-522	101	2	lower	low	ADJ
cuesj-522	101	3	95.0	95.0	NUM
cuesj-522	101	4	%	%	NOUN
cuesj-522	101	5	upper	upper	ADJ
cuesj-522	101	6	95.0	95.0	NUM
cuesj-522	101	7	%	%	NOUN
cuesj-522	101	8	prob	prob	NOUN
cuesj-522	101	9	.	.	PUNCT
cuesj-522	102	1	limit	limit	PROPN
cuesj-522	102	2	prob	prob	PROPN
cuesj-522	102	3	.	.	PUNCT
cuesj-522	103	1	limit	limit	VERB
cuesj-522	103	2	1	1	NUM
cuesj-522	103	3	0.0167213	0.0167213	NUM
cuesj-522	103	4	0.0873704	0.0873704	NUM
cuesj-522	103	5	-0.171243	-0.171243	NOUN
cuesj-522	103	6	0.171243	0.171243	NUM
cuesj-522	103	7	2	2	NUM
cuesj-522	103	8	−0.241384	−0.241384	X
cuesj-522	103	9	0.0873948	0.0873948	NUM
cuesj-522	103	10	−0.171291	−0.171291	PUNCT
cuesj-522	103	11	0.171291	0.171291	NUM
cuesj-522	103	12	3	3	NUM
cuesj-522	103	13	0.135039	0.135039	NUM
cuesj-522	103	14	0.092344	0.092344	NUM
cuesj-522	103	15	−0.180991	−0.180991	NUM
cuesj-522	103	16	0.180991	0.180991	NUM
cuesj-522	104	1	4	4	NUM
cuesj-522	104	2	−0.0592817	−0.0592817	NUM
cuesj-522	104	3	0.0938394	0.0938394	NUM
cuesj-522	104	4	−0.183922	−0.183922	NOUN
cuesj-522	104	5	0.183922	0.183922	NUM
cuesj-522	104	6	5	5	NUM
cuesj-522	104	7	−0.171542	−0.171542	NUM
cuesj-522	104	8	0.0941248	0.0941248	NUM
cuesj-522	104	9	−0.184482	−0.184482	X
cuesj-522	104	10	0.184482	0.184482	NUM
cuesj-522	104	11	6	6	NUM
cuesj-522	104	12	−0.0408148	−0.0408148	NUM
cuesj-522	104	13	0.0964818	0.0964818	NUM
cuesj-522	104	14	−0.189101	−0.189101	NUM
cuesj-522	104	15	0.189101	0.189101	NUM
cuesj-522	104	16	7	7	NUM
cuesj-522	104	17	−0.0877073	−0.0877073	NUM
cuesj-522	104	18	0.0966135	0.0966135	NUM
cuesj-522	104	19	−0.189359	−0.189359	NUM
cuesj-522	104	20	0.189359	0.189359	NUM
cuesj-522	104	21	8	8	NUM
cuesj-522	104	22	0.0443452	0.0443452	NUM
cuesj-522	104	23	0.0972194	0.0972194	NUM
cuesj-522	104	24	−0.190547	−0.190547	NOUN
cuesj-522	104	25	0.190547	0.190547	NUM
cuesj-522	104	26	9	9	NUM
cuesj-522	104	27	0.210737	0.210737	NUM
cuesj-522	104	28	0.0973737	0.0973737	NUM
cuesj-522	104	29	−0.190849	−0.190849	NUM
cuesj-522	104	30	0.190849	0.190849	NUM
cuesj-522	104	31	10	10	NUM
cuesj-522	104	32	−0.201387	−0.201387	NUM
cuesj-522	104	33	0.100795	0.100795	NUM
cuesj-522	104	34	−0.197555	−0.197555	NOUN
cuesj-522	104	35	0.197555	0.197555	NUM
cuesj-522	104	36	11	11	NUM
cuesj-522	104	37	−0.0940386	−0.0940386	NUM
cuesj-522	104	38	0.103821	0.103821	NUM
cuesj-522	104	39	−0.203486	−0.203486	NUM
cuesj-522	104	40	0.203486	0.203486	NUM
cuesj-522	104	41	12	12	NUM
cuesj-522	104	42	0.434518	0.434518	NUM
cuesj-522	104	43	0.104469	0.104469	NUM
cuesj-522	104	44	−0.204757	−0.204757	NOUN
cuesj-522	104	45	0.204757	0.204757	NUM
cuesj-522	104	46	13	13	NUM
cuesj-522	104	47	−0.0416651	−0.0416651	NOUN
cuesj-522	104	48	0.117458	0.117458	NUM
cuesj-522	104	49	−0.230214	−0.230214	ADJ
cuesj-522	104	50	0.230214	0.230214	NUM
cuesj-522	104	51	14	14	NUM
cuesj-522	104	52	−0.19711	−0.19711	NOUN
cuesj-522	104	53	0.117571	0.117571	NUM
cuesj-522	104	54	−0.230435	−0.230435	NUM
cuesj-522	104	55	0.230435	0.230435	NUM
cuesj-522	104	56	15	15	NUM
cuesj-522	104	57	0.0534731	0.0534731	NUM
cuesj-522	104	58	0.120067	0.120067	NUM
cuesj-522	104	59	−0.235327	−0.235327	ADP
cuesj-522	104	60	0.235327	0.235327	NUM
cuesj-522	104	61	16	16	NUM
cuesj-522	104	62	−0.0195178	−0.0195178	NUM
cuesj-522	104	63	0.120249	0.120249	NUM
cuesj-522	104	64	−0.235683	−0.235683	NOUN
cuesj-522	104	65	0.235683	0.235683	NUM
cuesj-522	104	66	17	17	NUM
cuesj-522	104	67	−0.0703227	−0.0703227	NOUN
cuesj-522	104	68	0.120273	0.120273	NUM
cuesj-522	104	69	−0.235731	−0.235731	NUM
cuesj-522	104	70	0.235731	0.235731	NUM
cuesj-522	104	71	18	18	NUM
cuesj-522	104	72	−0.0649174	−0.0649174	ADP
cuesj-522	104	73	0.120586	0.120586	NUM
cuesj-522	104	74	−0.236345	−0.236345	NUM
cuesj-522	104	75	0.236345	0.236345	NUM
cuesj-522	104	76	19	19	NUM
cuesj-522	104	77	−0.066637	−0.066637	NOUN
cuesj-522	104	78	0.120853	0.120853	NUM
cuesj-522	104	79	−0.236867	−0.236867	SYM
cuesj-522	104	80	0.236867	0.236867	NUM
cuesj-522	104	81	20	20	NUM
cuesj-522	104	82	0.0365189	0.0365189	NUM
cuesj-522	104	83	0.121133	0.121133	NUM
cuesj-522	104	84	−0.237417	−0.237417	PUNCT
cuesj-522	104	85	0.237417	0.237417	NUM
cuesj-522	104	86	21	21	NUM
cuesj-522	104	87	0.308873	0.308873	NUM
cuesj-522	104	88	0.121217	0.121217	NUM
cuesj-522	104	89	−0.237581	−0.237581	NOUN
cuesj-522	104	90	0.237581	0.237581	NUM
cuesj-522	104	91	22	22	NUM
cuesj-522	104	92	−0.073339	−0.073339	NOUN
cuesj-522	104	93	0.127083	0.127083	NUM
cuesj-522	104	94	−0.249078	−0.249078	NUM
cuesj-522	104	95	0.249078	0.249078	NUM
cuesj-522	104	96	23	23	NUM
cuesj-522	104	97	−0.142081	−0.142081	NUM
cuesj-522	104	98	0.127406	0.127406	NUM
cuesj-522	104	99	−0.249711	−0.249711	NOUN
cuesj-522	104	100	0.249711	0.249711	NUM
cuesj-522	104	101	24	24	NUM
cuesj-522	104	102	0.300656	0.300656	NUM
cuesj-522	104	103	0.128609	0.128609	NUM
cuesj-522	104	104	−0.25207	−0.25207	NOUN
cuesj-522	104	105	0.25207	0.25207	NUM
cuesj-522	104	106	not	not	PART
cuesj-522	104	107	include	include	VERB
cuesj-522	104	108	the	the	DET
cuesj-522	104	109	predicted	predict	VERB
cuesj-522	104	110	coefficient	coefficient	NOUN
cuesj-522	104	111	,	,	PUNCT
cuesj-522	104	112	there	there	PRON
cuesj-522	104	113	seems	seem	VERB
cuesj-522	104	114	to	to	PART
cuesj-522	104	115	be	be	AUX
cuesj-522	104	116	a	a	DET
cuesj-522	104	117	statistically	statistically	ADV
cuesj-522	104	118	important	important	ADJ
cuesj-522	104	119	connection	connection	NOUN
cuesj-522	104	120	at	at	ADP
cuesj-522	104	121	which	which	PRON
cuesj-522	104	122	lag	lag	VERB
cuesj-522	104	123	at	at	ADP
cuesj-522	104	124	the	the	DET
cuesj-522	104	125	95.0	95.0	NUM
cuesj-522	104	126	%	%	NOUN
cuesj-522	104	127	confidence	confidence	NOUN
cuesj-522	104	128	level	level	NOUN
cuesj-522	104	129	.	.	PUNCT
cuesj-522	105	1	at	at	ADP
cuesj-522	105	2	the	the	DET
cuesj-522	105	3	95.0	95.0	NUM
cuesj-522	105	4	%	%	NOUN
cuesj-522	105	5	confidence	confidence	NOUN
cuesj-522	105	6	level	level	NOUN
cuesj-522	105	7	,	,	PUNCT
cuesj-522	105	8	four	four	NUM
cuesj-522	105	9	of	of	ADP
cuesj-522	105	10	the	the	DET
cuesj-522	105	11	—	—	PUNCT
cuesj-522	105	12	24	24	NUM
cuesj-522	105	13	partial	partial	ADJ
cuesj-522	105	14	autocorrelation	autocorrelation	NOUN
cuesj-522	105	15	coefficients	coefficient	NOUN
cuesj-522	105	16	were	be	AUX
cuesj-522	105	17	statistically	statistically	ADV
cuesj-522	105	18	important	important	ADJ
cuesj-522	105	19	.	.	PUNCT
cuesj-522	106	1	you	you	PRON
cuesj-522	106	2	could	could	AUX
cuesj-522	106	3	plot	plot	VERB
cuesj-522	106	4	the	the	DET
cuesj-522	106	5	partial	partial	ADJ
cuesj-522	106	6	autocorrelation	autocorrelation	NOUN
cuesj-522	106	7	coefficients	coefficient	NOUN
cuesj-522	106	8	via	via	ADP
cuesj-522	106	9	choosing	choose	VERB
cuesj-522	106	10	partial	partial	ADJ
cuesj-522	106	11	autocorrelation	autocorrelation	NOUN
cuesj-522	106	12	function	function	NOUN
cuesj-522	106	13	from	from	ADP
cuesj-522	106	14	of	of	ADP
cuesj-522	106	15	the	the	DET
cuesj-522	106	16	listing	listing	NOUN
cuesj-522	106	17	of	of	ADP
cuesj-522	106	18	graphical	graphical	ADJ
cuesj-522	106	19	choices	choice	NOUN
cuesj-522	106	20	.	.	PUNCT
cuesj-522	107	1	moreover	moreover	ADV
cuesj-522	107	2	,	,	PUNCT
cuesj-522	107	3	to	to	PART
cuesj-522	107	4	use	use	VERB
cuesj-522	107	5	the	the	DET
cuesj-522	107	6	pacf	pacf	NOUN
cuesj-522	107	7	,	,	PUNCT
cuesj-522	107	8	a	a	DET
cuesj-522	107	9	correlation	correlation	NOUN
cuesj-522	107	10	of	of	ADP
cuesj-522	107	11	the	the	DET
cuesj-522	107	12	time	time	NOUN
cuesj-522	107	13	series	series	PROPN
cuesj-522	107	14	data	datum	NOUN
cuesj-522	107	15	through	through	ADP
cuesj-522	107	16	the	the	DET
cuesj-522	107	17	time	time	NOUN
cuesj-522	107	18	series	series	PROPN
cuesj-522	107	19	itself	itself	PRON
cuesj-522	107	20	would	would	AUX
cuesj-522	107	21	be	be	AUX
cuesj-522	107	22	calculated	calculate	VERB
cuesj-522	107	23	in	in	ADP
cuesj-522	107	24	order	order	NOUN
cuesj-522	107	25	to	to	PART
cuesj-522	107	26	discover	discover	VERB
cuesj-522	107	27	data	datum	NOUN
cuesj-522	107	28	patterns	pattern	NOUN
cuesj-522	107	29	.	.	PUNCT
cuesj-522	108	1	depending	depend	VERB
cuesj-522	108	2	on	on	ADP
cuesj-522	108	3	the	the	DET
cuesj-522	108	4	pacf	pacf	NOUN
cuesj-522	108	5	diagram	diagram	NOUN
cuesj-522	108	6	is	be	AUX
cuesj-522	108	7	shown	show	VERB
cuesj-522	108	8	in	in	ADP
cuesj-522	108	9	figure	figure	NOUN
cuesj-522	108	10	3	3	NUM
cuesj-522	108	11	.	.	PUNCT
cuesj-522	108	12	application	application	NOUN
cuesj-522	108	13	of	of	ADP
cuesj-522	108	14	des	des	PROPN
cuesj-522	108	15	using	use	VERB
cuesj-522	108	16	brown	brown	PROPN
cuesj-522	108	17	and	and	CCONJ
cuesj-522	108	18	holt	holt	PROPN
cuesj-522	108	19	model	model	NOUN
cuesj-522	108	20	depending	depend	VERB
cuesj-522	108	21	on	on	ADP
cuesj-522	108	22	data	datum	NOUN
cuesj-522	108	23	examination	examination	NOUN
cuesj-522	108	24	,	,	PUNCT
cuesj-522	108	25	it	it	PRON
cuesj-522	108	26	is	be	AUX
cuesj-522	108	27	recognized	recognize	VERB
cuesj-522	108	28	that	that	SCONJ
cuesj-522	108	29	the	the	DET
cuesj-522	108	30	data	datum	NOUN
cuesj-522	108	31	has	have	VERB
cuesj-522	108	32	a	a	DET
cuesj-522	108	33	trending	trending	NOUN
cuesj-522	108	34	pattern	pattern	NOUN
cuesj-522	108	35	.	.	PUNCT
cuesj-522	109	1	des	des	PROPN
cuesj-522	109	2	is	be	AUX
cuesj-522	109	3	the	the	DET
cuesj-522	109	4	time	time	NOUN
cuesj-522	109	5	series	series	NOUN
cuesj-522	109	6	processing	processing	NOUN
cuesj-522	109	7	approach	approach	NOUN
cuesj-522	109	8	utilized	utilize	VERB
cuesj-522	109	9	.	.	PUNCT
cuesj-522	110	1	there	there	PRON
cuesj-522	110	2	really	really	ADV
cuesj-522	110	3	are	be	AUX
cuesj-522	110	4	two	two	NUM
cuesj-522	110	5	methods	method	NOUN
cuesj-522	110	6	to	to	ADP
cuesj-522	110	7	the	the	DET
cuesj-522	110	8	des	de	NOUN
cuesj-522	110	9	technique	technique	NOUN
cuesj-522	110	10	,	,	PUNCT
cuesj-522	110	11	1	1	NUM
cuesj-522	110	12	variable	variable	ADJ
cuesj-522	110	13	linear	linear	PROPN
cuesj-522	110	14	des	des	PROPN
cuesj-522	110	15	from	from	ADP
cuesj-522	110	16	brown	brown	NOUN
cuesj-522	110	17	as	as	ADV
cuesj-522	110	18	well	well	ADV
cuesj-522	110	19	as	as	ADP
cuesj-522	110	20	2	2	NUM
cuesj-522	110	21	parameter	parameter	NOUN
cuesj-522	110	22	des	des	PROPN
cuesj-522	110	23	from	from	ADP
cuesj-522	110	24	holt	holt	PROPN
cuesj-522	110	25	.	.	PUNCT
cuesj-522	111	1	a	a	DET
cuesj-522	111	2	testing	testing	NOUN
cuesj-522	111	3	cases	case	NOUN
cuesj-522	111	4	for	for	ADP
cuesj-522	111	5	these	these	DET
cuesj-522	111	6	techniques	technique	NOUN
cuesj-522	111	7	were	be	AUX
cuesj-522	111	8	then	then	ADV
cuesj-522	111	9	evaluated	evaluate	VERB
cuesj-522	111	10	utilizing	utilize	VERB
cuesj-522	111	11	parameters	parameter	NOUN
cuesj-522	111	12	assigned	assign	VERB
cuesj-522	111	13	at	at	ADP
cuesj-522	111	14	random	random	ADJ
cuesj-522	111	15	.	.	PUNCT
cuesj-522	112	1	the	the	DET
cuesj-522	112	2	experiment	experiment	NOUN
cuesj-522	112	3	process	process	NOUN
cuesj-522	112	4	was	be	AUX
cuesj-522	112	5	divided	divide	VERB
cuesj-522	112	6	into	into	ADP
cuesj-522	112	7	two	two	NUM
cuesj-522	112	8	phases	phase	NOUN
cuesj-522	112	9	:	:	PUNCT
cuesj-522	112	10	initialization	initialization	NOUN
cuesj-522	112	11	(	(	PUNCT
cuesj-522	112	12	training	training	NOUN
cuesj-522	112	13	)	)	PUNCT
cuesj-522	112	14	utilizing	utilize	VERB
cuesj-522	112	15	training	training	NOUN
cuesj-522	112	16	data	datum	NOUN
cuesj-522	112	17	to	to	PART
cuesj-522	112	18	achieve	achieve	VERB
cuesj-522	112	19	the	the	DET
cuesj-522	112	20	constituents	constituent	NOUN
cuesj-522	112	21	which	which	PRON
cuesj-522	112	22	will	will	AUX
cuesj-522	112	23	be	be	AUX
cuesj-522	112	24	utilized	utilize	VERB
cuesj-522	112	25	to	to	PART
cuesj-522	112	26	assess	assess	VERB
cuesj-522	112	27	the	the	DET
cuesj-522	112	28	forecasting	forecasting	NOUN
cuesj-522	112	29	as	as	ADV
cuesj-522	112	30	well	well	ADV
cuesj-522	112	31	as	as	ADP
cuesj-522	112	32	experimenting	experiment	VERB
cuesj-522	112	33	to	to	PART
cuesj-522	112	34	make	make	VERB
cuesj-522	112	35	accurate	accurate	ADJ
cuesj-522	112	36	predictions	prediction	NOUN
cuesj-522	112	37	relying	rely	VERB
cuesj-522	112	38	on	on	ADP
cuesj-522	112	39	the	the	DET
cuesj-522	112	40	value	value	NOUN
cuesj-522	112	41	of	of	ADP
cuesj-522	112	42	a	a	DET
cuesj-522	112	43	component	component	NOUN
cuesj-522	112	44	parts	part	NOUN
cuesj-522	112	45	achieved	achieve	VERB
cuesj-522	112	46	from	from	ADP
cuesj-522	112	47	of	of	ADP
cuesj-522	112	48	the	the	DET
cuesj-522	112	49	initializing	initializing	ADJ
cuesj-522	112	50	phase	phase	NOUN
cuesj-522	112	51	as	as	ADV
cuesj-522	112	52	well	well	ADV
cuesj-522	112	53	as	as	ADP
cuesj-522	112	54	comparison	comparison	NOUN
cuesj-522	112	55	with	with	ADP
cuesj-522	112	56	data	datum	NOUN
cuesj-522	112	57	test	test	NOUN
cuesj-522	112	58	method	method	NOUN
cuesj-522	112	59	to	to	PART
cuesj-522	112	60	evaluate	evaluate	VERB
cuesj-522	112	61	the	the	DET
cuesj-522	112	62	value	value	NOUN
cuesj-522	112	63	of	of	ADP
cuesj-522	112	64	as	as	ADV
cuesj-522	112	65	well	well	ADV
cuesj-522	112	66	as	as	ADP
cuesj-522	112	67	mae	mae	PROPN
cuesj-522	112	68	and	and	CCONJ
cuesj-522	112	69	mape	mape	NOUN
cuesj-522	112	70	.	.	PUNCT
cuesj-522	113	1	application	application	NOUN
cuesj-522	113	2	of	of	ADP
cuesj-522	113	3	des	des	PROPN
cuesj-522	113	4	using	use	VERB
cuesj-522	113	5	brown	brown	ADJ
cuesj-522	113	6	smoothing	smooth	VERB
cuesj-522	113	7	variables	variable	NOUN
cuesj-522	113	8	(	(	PUNCT
cuesj-522	113	9	α	α	NOUN
cuesj-522	113	10	)	)	PUNCT
cuesj-522	113	11	utilized	utilize	VERB
cuesj-522	113	12	in	in	ADP
cuesj-522	113	13	des	des	X
cuesj-522	113	14	brown	brown	PROPN
cuesj-522	113	15	testing	testing	NOUN
cuesj-522	113	16	are	be	AUX
cuesj-522	113	17	chosen	choose	VERB
cuesj-522	113	18	(	(	PUNCT
cuesj-522	113	19	0.1	0.1	NUM
cuesj-522	113	20	,	,	PUNCT
cuesj-522	113	21	0.2	0.2	NUM
cuesj-522	113	22	,	,	PUNCT
cuesj-522	113	23	0.3	0.3	NUM
cuesj-522	113	24	,	,	PUNCT
cuesj-522	113	25	0.4	0.4	NUM
cuesj-522	113	26	,	,	PUNCT
cuesj-522	113	27	0.5	0.5	NUM
cuesj-522	113	28	,	,	PUNCT
cuesj-522	113	29	0.6	0.6	NUM
cuesj-522	113	30	,	,	PUNCT
cuesj-522	113	31	0.7	0.7	NUM
cuesj-522	113	32	,	,	PUNCT
cuesj-522	113	33	0.8	0.8	NUM
cuesj-522	113	34	,	,	PUNCT
cuesj-522	113	35	and	and	CCONJ
cuesj-522	113	36	0.9	0.9	NUM
cuesj-522	113	37	)	)	PUNCT
cuesj-522	113	38	.	.	PUNCT
cuesj-522	114	1	the	the	DET
cuesj-522	114	2	results	result	NOUN
cuesj-522	114	3	of	of	ADP
cuesj-522	114	4	the	the	DET
cuesj-522	114	5	mape	mape	NOUN
cuesj-522	114	6	evaluation	evaluation	NOUN
cuesj-522	114	7	are	be	AUX
cuesj-522	114	8	presented	present	VERB
cuesj-522	114	9	in	in	ADP
cuesj-522	114	10	table	table	NOUN
cuesj-522	114	11	4	4	NUM
cuesj-522	114	12	.	.	PUNCT
cuesj-522	115	1	the	the	DET
cuesj-522	115	2	outcomes	outcome	NOUN
cuesj-522	115	3	of	of	ADP
cuesj-522	115	4	these	these	DET
cuesj-522	115	5	experiments	experiment	NOUN
cuesj-522	115	6	revealed	reveal	VERB
cuesj-522	115	7	that	that	SCONJ
cuesj-522	115	8	the	the	DET
cuesj-522	115	9	value	value	NOUN
cuesj-522	115	10	of	of	ADP
cuesj-522	115	11	α	α	NOUN
cuesj-522	115	12	=	=	NOUN
cuesj-522	115	13	0.2	0.2	NUM
cuesj-522	115	14	caused	cause	VERB
cuesj-522	115	15	the	the	DET
cuesj-522	115	16	least	least	ADJ
cuesj-522	115	17	error	error	NOUN
cuesj-522	115	18	,	,	PUNCT
cuesj-522	115	19	because	because	SCONJ
cuesj-522	115	20	the	the	DET
cuesj-522	115	21	(	(	PUNCT
cuesj-522	115	22	mape	mape	NOUN
cuesj-522	115	23	=	=	NOUN
cuesj-522	115	24	figure	figure	NOUN
cuesj-522	115	25	3	3	NUM
cuesj-522	115	26	:	:	PUNCT
cuesj-522	115	27	partial	partial	ADJ
cuesj-522	115	28	autocorrelations	autocorrelation	NOUN
cuesj-522	115	29	function	function	VERB
cuesj-522	115	30	for	for	ADP
cuesj-522	115	31	generation	generation	NOUN
cuesj-522	115	32	electrical	electrical	ADJ
cuesj-522	115	33	energies	energy	NOUN
cuesj-522	115	34	omer	omer	PROPN
cuesj-522	115	35	,	,	PUNCT
cuesj-522	115	36	et	et	PROPN
cuesj-522	115	37	al	al	PROPN
cuesj-522	115	38	.	.	PROPN
cuesj-522	115	39	:	:	PUNCT
cuesj-522	116	1	brown	brown	PROPN
cuesj-522	116	2	’s	’s	PART
cuesj-522	116	3	and	and	CCONJ
cuesj-522	116	4	holt	holt	PROPN
cuesj-522	116	5	’s	’s	PART
cuesj-522	116	6	double	double	ADJ
cuesj-522	116	7	exponential	exponential	NOUN
cuesj-522	116	8	smoothing	smooth	VERB
cuesj-522	116	9	60	60	NUM
cuesj-522	116	10	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-522	116	11	cuesj	cuesj	ADJ
cuesj-522	116	12	2021	2021	NUM
cuesj-522	116	13	,	,	PUNCT
cuesj-522	116	14	5	5	NUM
cuesj-522	116	15	(	(	PUNCT
cuesj-522	116	16	2	2	NUM
cuesj-522	116	17	):	):	PUNCT
cuesj-522	116	18	56	56	NUM
cuesj-522	116	19	-	-	SYM
cuesj-522	116	20	63	63	NUM
cuesj-522	116	21	table	table	NOUN
cuesj-522	116	22	3	3	NUM
cuesj-522	116	23	:	:	PUNCT
cuesj-522	116	24	estimation	estimation	NOUN
cuesj-522	116	25	partial	partial	ADJ
cuesj-522	116	26	autocorrelations	autocorrelation	NOUN
cuesj-522	116	27	for	for	ADP
cuesj-522	116	28	generation	generation	NOUN
cuesj-522	116	29	electrical	electrical	ADJ
cuesj-522	116	30	energies	energy	NOUN
cuesj-522	116	31	lag	lag	VERB
cuesj-522	116	32	partial	partial	ADJ
cuesj-522	116	33	stnd	stnd	NOUN
cuesj-522	116	34	.	.	PUNCT
cuesj-522	117	1	error	error	NOUN
cuesj-522	117	2	lower	low	ADJ
cuesj-522	117	3	95.0	95.0	NUM
cuesj-522	117	4	%	%	NOUN
cuesj-522	117	5	upper	upper	ADJ
cuesj-522	117	6	95.0	95.0	NUM
cuesj-522	117	7	%	%	NOUN
cuesj-522	117	8	autocorrelation	autocorrelation	NOUN
cuesj-522	117	9	prob	prob	NOUN
cuesj-522	117	10	.	.	PUNCT
cuesj-522	118	1	limit	limit	PROPN
cuesj-522	118	2	prob	prob	PROPN
cuesj-522	118	3	.	.	PUNCT
cuesj-522	119	1	limit	limit	VERB
cuesj-522	119	2	1	1	NUM
cuesj-522	119	3	0.0167213	0.0167213	NUM
cuesj-522	119	4	0.0873704	0.0873704	NUM
cuesj-522	119	5	-0.171243	-0.171243	NOUN
cuesj-522	119	6	0.171243	0.171243	NUM
cuesj-522	119	7	2	2	NUM
cuesj-522	119	8	−0.241732	−0.241732	NOUN
cuesj-522	119	9	0.0873704	0.0873704	NUM
cuesj-522	119	10	−0.171243	−0.171243	NOUN
cuesj-522	119	11	0.171243	0.171243	NUM
cuesj-522	119	12	3	3	NUM
cuesj-522	119	13	0.153079	0.153079	NUM
cuesj-522	119	14	0.0873704	0.0873704	NUM
cuesj-522	119	15	−0.171243	−0.171243	NOUN
cuesj-522	119	16	0.171243	0.171243	NUM
cuesj-522	119	17	4	4	NUM
cuesj-522	119	18	−0.140071	−0.140071	PROPN
cuesj-522	119	19	0.0873704	0.0873704	NUM
cuesj-522	119	20	−0.171243	−0.171243	NOUN
cuesj-522	119	21	0.171243	0.171243	NUM
cuesj-522	119	22	5	5	NUM
cuesj-522	119	23	−0.0975302	−0.0975302	NOUN
cuesj-522	119	24	0.0873704	0.0873704	NUM
cuesj-522	119	25	−0.171243	−0.171243	NOUN
cuesj-522	119	26	0.171243	0.171243	NUM
cuesj-522	119	27	6	6	NUM
cuesj-522	119	28	−0.10485	−0.10485	NUM
cuesj-522	119	29	0.0873704	0.0873704	NUM
cuesj-522	119	30	−0.171243	−0.171243	NOUN
cuesj-522	119	31	0.171243	0.171243	NUM
cuesj-522	119	32	7	7	NUM
cuesj-522	119	33	−0.139082	−0.139082	NOUN
cuesj-522	119	34	0.0873704	0.0873704	NUM
cuesj-522	119	35	−0.171243	−0.171243	NOUN
cuesj-522	119	36	0.171243	0.171243	NUM
cuesj-522	119	37	8	8	NUM
cuesj-522	119	38	0.0528022	0.0528022	NUM
cuesj-522	119	39	0.0873704	0.0873704	NUM
cuesj-522	119	40	−0.171243	−0.171243	NOUN
cuesj-522	119	41	0.171243	0.171243	NUM
cuesj-522	119	42	9	9	NUM
cuesj-522	119	43	0.155682	0.155682	NUM
cuesj-522	119	44	0.0873704	0.0873704	NUM
cuesj-522	119	45	−0.171243	−0.171243	NOUN
cuesj-522	119	46	0.171243	0.171243	NUM
cuesj-522	119	47	10	10	NUM
cuesj-522	119	48	−0.230709	−0.230709	NOUN
cuesj-522	119	49	0.0873704	0.0873704	NUM
cuesj-522	119	50	−0.171243	−0.171243	NOUN
cuesj-522	119	51	0.171243	0.171243	NUM
cuesj-522	119	52	11	11	NUM
cuesj-522	119	53	−0.0358917	−0.0358917	NOUN
cuesj-522	119	54	0.0873704	0.0873704	NUM
cuesj-522	119	55	−0.171243	−0.171243	NOUN
cuesj-522	119	56	0.171243	0.171243	NUM
cuesj-522	119	57	12	12	NUM
cuesj-522	119	58	0.333182	0.333182	NUM
cuesj-522	119	59	0.0873704	0.0873704	NUM
cuesj-522	119	60	−0.171243	−0.171243	NOUN
cuesj-522	119	61	0.171243	0.171243	NUM
cuesj-522	120	1	13	13	NUM
cuesj-522	120	2	−0.0568566	−0.0568566	NOUN
cuesj-522	120	3	0.0873704	0.0873704	NUM
cuesj-522	120	4	−0.171243	−0.171243	NOUN
cuesj-522	120	5	0.171243	0.171243	NUM
cuesj-522	120	6	14	14	NUM
cuesj-522	120	7	−0.00962131	−0.00962131	NUM
cuesj-522	120	8	0.0873704	0.0873704	NUM
cuesj-522	120	9	−0.171243	−0.171243	NOUN
cuesj-522	120	10	0.171243	0.171243	NUM
cuesj-522	120	11	15	15	NUM
cuesj-522	120	12	−0.082228	−0.082228	PROPN
cuesj-522	120	13	0.0873704	0.0873704	NUM
cuesj-522	120	14	−0.171243	−0.171243	NOUN
cuesj-522	120	15	0.171243	0.171243	NUM
cuesj-522	120	16	16	16	NUM
cuesj-522	120	17	−0.00415532	−0.00415532	NUM
cuesj-522	120	18	0.0873704	0.0873704	NUM
cuesj-522	120	19	−0.171243	−0.171243	NOUN
cuesj-522	120	20	0.171243	0.171243	NUM
cuesj-522	120	21	17	17	NUM
cuesj-522	120	22	0.0103137	0.0103137	NUM
cuesj-522	120	23	0.0873704	0.0873704	NUM
cuesj-522	120	24	−0.171243	−0.171243	NOUN
cuesj-522	120	25	0.171243	0.171243	NUM
cuesj-522	120	26	18	18	NUM
cuesj-522	120	27	−0.0988107	−0.0988107	NOUN
cuesj-522	120	28	0.0873704	0.0873704	NUM
cuesj-522	120	29	−0.171243	−0.171243	NOUN
cuesj-522	120	30	0.171243	0.171243	NUM
cuesj-522	120	31	19	19	NUM
cuesj-522	120	32	0.00642562	0.00642562	NUM
cuesj-522	120	33	0.0873704	0.0873704	NUM
cuesj-522	120	34	−0.171243	−0.171243	NOUN
cuesj-522	120	35	0.171243	0.171243	NUM
cuesj-522	120	36	20	20	NUM
cuesj-522	120	37	−0.0551295	−0.0551295	NOUN
cuesj-522	120	38	0.0873704	0.0873704	NUM
cuesj-522	120	39	−0.171243	−0.171243	NOUN
cuesj-522	120	40	0.171243	0.171243	NUM
cuesj-522	120	41	21	21	NUM
cuesj-522	120	42	0.218259	0.218259	NUM
cuesj-522	120	43	0.0873704	0.0873704	NUM
cuesj-522	120	44	−0.171243	−0.171243	NOUN
cuesj-522	120	45	0.171243	0.171243	NUM
cuesj-522	120	46	22	22	NUM
cuesj-522	120	47	0.00970171	0.00970171	NUM
cuesj-522	120	48	0.0873704	0.0873704	NUM
cuesj-522	120	49	−0.171243	−0.171243	NOUN
cuesj-522	120	50	0.171243	0.171243	NUM
cuesj-522	120	51	23	23	NUM
cuesj-522	120	52	−0.0380208	−0.0380208	NOUN
cuesj-522	120	53	0.0873704	0.0873704	NUM
cuesj-522	120	54	−0.171243	−0.171243	NOUN
cuesj-522	120	55	0.171243	0.171243	NUM
cuesj-522	120	56	24	24	NUM
cuesj-522	120	57	0.117758	0.117758	NUM
cuesj-522	120	58	0.0873704	0.0873704	NUM
cuesj-522	120	59	−0.171243	−0.171243	NOUN
cuesj-522	120	60	0.171243	0.171243	NUM
cuesj-522	120	61	table	table	NOUN
cuesj-522	120	62	4	4	NUM
cuesj-522	120	63	:	:	PUNCT
cuesj-522	120	64	mape	mape	NOUN
cuesj-522	120	65	value	value	NOUN
cuesj-522	120	66	for	for	ADP
cuesj-522	120	67	the	the	DET
cuesj-522	120	68	des	des	PROPN
cuesj-522	120	69	brown	brown	PROPN
cuesj-522	120	70	α	α	PROPN
cuesj-522	120	71	0.1	0.1	NUM
cuesj-522	120	72	0.2	0.2	NUM
cuesj-522	120	73	0.3	0.3	NUM
cuesj-522	120	74	0.4	0.4	NUM
cuesj-522	120	75	0.5	0.5	NUM
cuesj-522	120	76	0.6	0.6	NUM
cuesj-522	120	77	0.7	0.7	NUM
cuesj-522	120	78	0.8	0.8	NUM
cuesj-522	120	79	0.9	0.9	NUM
cuesj-522	120	80	mape	mape	NOUN
cuesj-522	120	81	11.2484	11.2484	NUM
cuesj-522	120	82	9.26275	9.26275	NUM
cuesj-522	120	83	9.36603	9.36603	NUM
cuesj-522	120	84	9.55898	9.55898	NUM
cuesj-522	120	85	9.67292	9.67292	NUM
cuesj-522	120	86	9.8182	9.8182	NUM
cuesj-522	120	87	9.82523	9.82523	NUM
cuesj-522	120	88	9.60284	9.60284	NUM
cuesj-522	120	89	9.4356	9.4356	NUM
cuesj-522	120	90	table	table	NOUN
cuesj-522	120	91	5	5	NUM
cuesj-522	120	92	:	:	PUNCT
cuesj-522	120	93	mape	mape	NOUN
cuesj-522	120	94	value	value	NOUN
cuesj-522	120	95	for	for	ADP
cuesj-522	120	96	des	des	PROPN
cuesj-522	120	97	holt	holt	PROPN
cuesj-522	120	98	mape	mape	PROPN
cuesj-522	120	99	β	β	PROPN
cuesj-522	120	100	α	α	PROPN
cuesj-522	120	101	0.1	0.1	NUM
cuesj-522	120	102	0.2	0.2	NUM
cuesj-522	120	103	0.3	0.3	NUM
cuesj-522	120	104	0.4	0.4	NUM
cuesj-522	120	105	0.5	0.5	NUM
cuesj-522	120	106	0.6	0.6	NUM
cuesj-522	120	107	0.7	0.7	NUM
cuesj-522	120	108	0.8	0.8	NUM
cuesj-522	120	109	0.9	0.9	NUM
cuesj-522	120	110	mape	mape	NOUN
cuesj-522	120	111	0.1	0.1	NUM
cuesj-522	120	112	10.1139	10.1139	NUM
cuesj-522	120	113	9.94129	9.94129	NUM
cuesj-522	120	114	9.93563	9.93563	NUM
cuesj-522	120	115	9.96147	9.96147	NUM
cuesj-522	120	116	10.0146	10.0146	NUM
cuesj-522	120	117	10.129	10.129	NUM
cuesj-522	120	118	10.1839	10.1839	NUM
cuesj-522	120	119	10.0151	10.0151	NUM
cuesj-522	120	120	9.91106	9.91106	NUM
cuesj-522	120	121	mape	mape	NOUN
cuesj-522	120	122	0.2	0.2	NUM
cuesj-522	120	123	9.4136	9.4136	NUM
cuesj-522	120	124	9.34794	9.34794	NUM
cuesj-522	120	125	9.39981	9.39981	NUM
cuesj-522	120	126	9.44035	9.44035	NUM
cuesj-522	120	127	9.56963	9.56963	NUM
cuesj-522	120	128	9.79795	9.79795	NUM
cuesj-522	120	129	10.0164	10.0164	NUM
cuesj-522	120	130	10.2344	10.2344	NUM
cuesj-522	120	131	10.4674	10.4674	NUM
cuesj-522	120	132	mape	mape	NOUN
cuesj-522	120	133	0.3	0.3	NUM
cuesj-522	120	134	9.09144	9.09144	NUM
cuesj-522	120	135	9.22661	9.22661	NUM
cuesj-522	120	136	9.46055	9.46055	NUM
cuesj-522	120	137	9.79021	9.79021	NUM
cuesj-522	120	138	10.0959	10.0959	NUM
cuesj-522	120	139	10.4022	10.4022	NUM
cuesj-522	120	140	10.7455	10.7455	NUM
cuesj-522	120	141	11.1267	11.1267	NUM
cuesj-522	120	142	11.5143	11.5143	NUM
cuesj-522	120	143	mape	mape	NOUN
cuesj-522	120	144	0.4	0.4	NUM
cuesj-522	120	145	9.02689	9.02689	NUM
cuesj-522	120	146	9.35794	9.35794	NUM
cuesj-522	120	147	9.72886	9.72886	NUM
cuesj-522	120	148	10.1104	10.1104	NUM
cuesj-522	120	149	10.5094	10.5094	NUM
cuesj-522	120	150	10.9138	10.9138	NUM
cuesj-522	120	151	11.3833	11.3833	NUM
cuesj-522	120	152	11.867	11.867	NUM
cuesj-522	120	153	12.3145	12.3145	NUM
cuesj-522	120	154	mape	mape	NOUN
cuesj-522	120	155	0.5	0.5	NUM
cuesj-522	120	156	9.00694	9.00694	NUM
cuesj-522	120	157	9.43233	9.43233	NUM
cuesj-522	120	158	9.83182	9.83182	NUM
cuesj-522	120	159	10.2438	10.2438	NUM
cuesj-522	120	160	10.7197	10.7197	NUM
cuesj-522	120	161	11.1727	11.1727	NUM
cuesj-522	120	162	11.6403	11.6403	NUM
cuesj-522	120	163	12.1686	12.1686	NUM
cuesj-522	120	164	12.6818	12.6818	NUM
cuesj-522	120	165	mape	mape	NOUN
cuesj-522	120	166	0.6	0.6	NUM
cuesj-522	120	167	8.90925	8.90925	NUM
cuesj-522	120	168	9.34006	9.34006	NUM
cuesj-522	120	169	9.79061	9.79061	NUM
cuesj-522	120	170	10.2269	10.2269	NUM
cuesj-522	120	171	10.6686	10.6686	NUM
cuesj-522	120	172	11.1207	11.1207	NUM
cuesj-522	120	173	11.6528	11.6528	NUM
cuesj-522	120	174	12.1753	12.1753	NUM
cuesj-522	120	175	12.6051	12.6051	NUM
cuesj-522	120	176	mape	mape	NOUN
cuesj-522	120	177	0.7	0.7	NUM
cuesj-522	120	178	8.79654	8.79654	NUM
cuesj-522	120	179	9.2637	9.2637	NUM
cuesj-522	120	180	9.64667	9.64667	NUM
cuesj-522	120	181	10.0507	10.0507	NUM
cuesj-522	120	182	10.5156	10.5156	NUM
cuesj-522	120	183	10.9651	10.9651	NUM
cuesj-522	120	184	11.3411	11.3411	NUM
cuesj-522	120	185	11.6038	11.6038	NUM
cuesj-522	120	186	11.7229	11.7229	NUM
cuesj-522	120	187	mape	mape	NOUN
cuesj-522	120	188	0.8	0.8	NUM
cuesj-522	120	189	8.62661	8.62661	NUM
cuesj-522	120	190	9.01604	9.01604	NUM
cuesj-522	120	191	9.41114	9.41114	NUM
cuesj-522	120	192	9.83381	9.83381	NUM
cuesj-522	120	193	10.1908	10.1908	NUM
cuesj-522	120	194	10.4887	10.4887	NUM
cuesj-522	120	195	10.6578	10.6578	NUM
cuesj-522	120	196	10.6803	10.6803	NUM
cuesj-522	120	197	10.6121	10.6121	NUM
cuesj-522	120	198	mape	mape	NOUN
cuesj-522	120	199	0.9	0.9	NUM
cuesj-522	120	200	8.38666	8.38666	NUM
cuesj-522	120	201	8.77974	8.77974	NUM
cuesj-522	120	202	9.161	9.161	NUM
cuesj-522	120	203	9.4774	9.4774	NUM
cuesj-522	120	204	9.74875	9.74875	NUM
cuesj-522	120	205	9.89043	9.89043	NUM
cuesj-522	120	206	9.90722	9.90722	NUM
cuesj-522	120	207	9.86512	9.86512	NUM
cuesj-522	120	208	9.8109	9.8109	NUM
cuesj-522	120	209	9.26275	9.26275	NUM
cuesj-522	120	210	%	%	NOUN
cuesj-522	120	211	if	if	SCONJ
cuesj-522	120	212	the	the	DET
cuesj-522	120	213	α	α	NOUN
cuesj-522	120	214	=	=	NOUN
cuesj-522	120	215	0.2	0.2	NUM
cuesj-522	120	216	which	which	PRON
cuesj-522	120	217	was	be	AUX
cuesj-522	120	218	the	the	DET
cuesj-522	120	219	minimum	minimum	ADJ
cuesj-522	120	220	error	error	NOUN
cuesj-522	120	221	for	for	ADP
cuesj-522	120	222	forecasting	forecasting	NOUN
cuesj-522	120	223	,	,	PUNCT
cuesj-522	120	224	the	the	DET
cuesj-522	120	225	suitable	suitable	ADJ
cuesj-522	120	226	parameter	parameter	NOUN
cuesj-522	120	227	in	in	ADP
cuesj-522	120	228	des	des	PROPN
cuesj-522	120	229	brown	brown	PROPN
cuesj-522	120	230	is	be	AUX
cuesj-522	120	231	equal	equal	ADJ
cuesj-522	120	232	to	to	ADP
cuesj-522	120	233	α	α	NOUN
cuesj-522	120	234	=	=	NOUN
cuesj-522	120	235	0.2	0.2	NUM
cuesj-522	120	236	.	.	PUNCT
cuesj-522	121	1	application	application	NOUN
cuesj-522	121	2	of	of	ADP
cuesj-522	121	3	des	des	PROPN
cuesj-522	121	4	using	use	VERB
cuesj-522	121	5	holt	holt	PROPN
cuesj-522	121	6	model	model	NOUN
cuesj-522	121	7	smoothing	smooth	VERB
cuesj-522	121	8	parameters	parameter	NOUN
cuesj-522	121	9	(	(	PUNCT
cuesj-522	121	10	α	α	X
cuesj-522	121	11	,	,	PUNCT
cuesj-522	121	12	β	β	NOUN
cuesj-522	121	13	)	)	PUNCT
cuesj-522	121	14	used	use	VERB
cuesj-522	121	15	in	in	ADP
cuesj-522	121	16	des	des	PROPN
cuesj-522	121	17	holt	holt	PROPN
cuesj-522	121	18	testing	testing	NOUN
cuesj-522	121	19	are	be	AUX
cuesj-522	121	20	selected	select	VERB
cuesj-522	121	21	(	(	PUNCT
cuesj-522	121	22	0.1	0.1	NUM
cuesj-522	121	23	,	,	PUNCT
cuesj-522	121	24	0.1	0.1	NUM
cuesj-522	121	25	)	)	PUNCT
cuesj-522	121	26	,	,	PUNCT
cuesj-522	121	27	(	(	PUNCT
cuesj-522	121	28	0.1	0.1	NUM
cuesj-522	121	29	,	,	PUNCT
cuesj-522	121	30	0.2	0.2	NUM
cuesj-522	121	31	)	)	PUNCT
cuesj-522	121	32	……	……	NOUN
cuesj-522	121	33	(	(	PUNCT
cuesj-522	121	34	0.1	0.1	NUM
cuesj-522	121	35	,	,	PUNCT
cuesj-522	121	36	0.9	0.9	NUM
cuesj-522	121	37	)	)	PUNCT
cuesj-522	121	38	,	,	PUNCT
cuesj-522	121	39	(	(	PUNCT
cuesj-522	121	40	0.2	0.2	NUM
cuesj-522	121	41	,	,	PUNCT
cuesj-522	121	42	0.1	0.1	NUM
cuesj-522	121	43	)	)	PUNCT
cuesj-522	121	44	,	,	PUNCT
cuesj-522	121	45	(	(	PUNCT
cuesj-522	121	46	0.2	0.2	NUM
cuesj-522	121	47	,	,	PUNCT
cuesj-522	121	48	omer	omer	PROPN
cuesj-522	121	49	,	,	PUNCT
cuesj-522	121	50	et	et	PROPN
cuesj-522	121	51	al	al	PROPN
cuesj-522	121	52	.	.	PROPN
cuesj-522	121	53	:	:	PUNCT
cuesj-522	122	1	brown	brown	PROPN
cuesj-522	122	2	’s	’s	PART
cuesj-522	122	3	and	and	CCONJ
cuesj-522	122	4	holt	holt	PROPN
cuesj-522	122	5	’s	’s	PART
cuesj-522	122	6	double	double	ADJ
cuesj-522	122	7	exponential	exponential	NOUN
cuesj-522	122	8	smoothing	smooth	VERB
cuesj-522	122	9	61	61	NUM
cuesj-522	122	10	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-522	122	11	cuesj	cuesj	ADJ
cuesj-522	122	12	2021	2021	NUM
cuesj-522	122	13	,	,	PUNCT
cuesj-522	122	14	5	5	NUM
cuesj-522	122	15	(	(	PUNCT
cuesj-522	122	16	2	2	NUM
cuesj-522	122	17	):	):	PUNCT
cuesj-522	122	18	56	56	NUM
cuesj-522	122	19	-	-	SYM
cuesj-522	122	20	63	63	NUM
cuesj-522	122	21	0.2	0.2	NUM
cuesj-522	122	22	)	)	PUNCT
cuesj-522	122	23	,	,	PUNCT
cuesj-522	122	24	……	……	PROPN
cuesj-522	122	25	(	(	PUNCT
cuesj-522	122	26	0.2	0.2	NUM
cuesj-522	122	27	,	,	PUNCT
cuesj-522	122	28	0.9	0.9	NUM
cuesj-522	122	29	)	)	PUNCT
cuesj-522	122	30	,	,	PUNCT
cuesj-522	122	31	……	……	NOUN
cuesj-522	122	32	.	.	PUNCT
cuesj-522	123	1	(	(	PUNCT
cuesj-522	123	2	0.9	0.9	NUM
cuesj-522	123	3	,	,	PUNCT
cuesj-522	123	4	0.9	0.9	NUM
cuesj-522	123	5	)	)	PUNCT
cuesj-522	123	6	.	.	PUNCT
cuesj-522	124	1	the	the	DET
cuesj-522	124	2	mape	mape	NOUN
cuesj-522	124	3	calculating	calculate	VERB
cuesj-522	124	4	outcomes	outcome	NOUN
cuesj-522	124	5	are	be	AUX
cuesj-522	124	6	presented	present	VERB
cuesj-522	124	7	in	in	ADP
cuesj-522	124	8	table	table	NOUN
cuesj-522	124	9	5	5	NUM
cuesj-522	124	10	.	.	PUNCT
cuesj-522	125	1	the	the	DET
cuesj-522	125	2	findings	finding	NOUN
cuesj-522	125	3	of	of	ADP
cuesj-522	125	4	all	all	DET
cuesj-522	125	5	these	these	DET
cuesj-522	125	6	trials	trial	NOUN
cuesj-522	125	7	revealed	reveal	VERB
cuesj-522	125	8	which	which	PRON
cuesj-522	125	9	the	the	DET
cuesj-522	125	10	value	value	NOUN
cuesj-522	125	11	of	of	ADP
cuesj-522	125	12	(	(	PUNCT
cuesj-522	125	13	α	α	NOUN
cuesj-522	125	14	=	=	SYM
cuesj-522	125	15	0.1	0.1	NUM
cuesj-522	125	16	and	and	CCONJ
cuesj-522	125	17	β	β	X
cuesj-522	125	18	=	=	SYM
cuesj-522	125	19	0.9	0.9	NUM
cuesj-522	125	20	)	)	PUNCT
cuesj-522	125	21	produced	produce	VERB
cuesj-522	125	22	the	the	DET
cuesj-522	125	23	smallest	small	ADJ
cuesj-522	125	24	error	error	NOUN
cuesj-522	125	25	.	.	PUNCT
cuesj-522	126	1	because	because	SCONJ
cuesj-522	126	2	the	the	DET
cuesj-522	126	3	(	(	PUNCT
cuesj-522	126	4	mape	mape	NOUN
cuesj-522	126	5	=	=	SYM
cuesj-522	126	6	8.38666	8.38666	NUM
cuesj-522	126	7	%	%	NOUN
cuesj-522	126	8	if	if	SCONJ
cuesj-522	126	9	the	the	DET
cuesj-522	126	10	(	(	PUNCT
cuesj-522	126	11	α	α	NOUN
cuesj-522	126	12	=	=	SYM
cuesj-522	126	13	0.1	0.1	NUM
cuesj-522	126	14	and	and	CCONJ
cuesj-522	126	15	β	β	X
cuesj-522	126	16	=	=	NOUN
cuesj-522	126	17	0.9	0.9	NUM
cuesj-522	126	18	)	)	PUNCT
cuesj-522	126	19	which	which	PRON
cuesj-522	126	20	was	be	AUX
cuesj-522	126	21	the	the	DET
cuesj-522	126	22	minimum	minimum	ADJ
cuesj-522	126	23	error	error	NOUN
cuesj-522	126	24	for	for	ADP
cuesj-522	126	25	forecasting	forecasting	NOUN
cuesj-522	126	26	,	,	PUNCT
cuesj-522	126	27	the	the	DET
cuesj-522	126	28	suitable	suitable	ADJ
cuesj-522	126	29	parameter	parameter	NOUN
cuesj-522	126	30	in	in	ADP
cuesj-522	126	31	des	des	PROPN
cuesj-522	126	32	holt	holt	PROPN
cuesj-522	126	33	is	be	AUX
cuesj-522	126	34	equal	equal	ADJ
cuesj-522	126	35	to	to	ADP
cuesj-522	126	36	(	(	PUNCT
cuesj-522	126	37	α	α	NOUN
cuesj-522	126	38	=	=	SYM
cuesj-522	126	39	0.1	0.1	NUM
cuesj-522	126	40	and	and	CCONJ
cuesj-522	126	41	β	β	X
cuesj-522	126	42	=	=	NOUN
cuesj-522	126	43	0.9	0.9	NUM
cuesj-522	126	44	)	)	PUNCT
cuesj-522	126	45	.	.	PUNCT
cuesj-522	127	1	according	accord	VERB
cuesj-522	127	2	to	to	ADP
cuesj-522	127	3	table	table	NOUN
cuesj-522	127	4	6	6	NUM
cuesj-522	127	5	above	above	ADV
cuesj-522	127	6	,	,	PUNCT
cuesj-522	127	7	the	the	DET
cuesj-522	127	8	holt	holt	PROPN
cuesj-522	127	9	’s	’s	PART
cuesj-522	127	10	des	des	PROPN
cuesj-522	127	11	technique	technique	NOUN
cuesj-522	127	12	has	have	VERB
cuesj-522	127	13	the	the	DET
cuesj-522	127	14	lower	low	ADJ
cuesj-522	127	15	mape	mape	NOUN
cuesj-522	127	16	score	score	NOUN
cuesj-522	127	17	of	of	ADP
cuesj-522	127	18	around	around	ADP
cuesj-522	127	19	8.38666	8.38666	NUM
cuesj-522	127	20	%	%	NOUN
cuesj-522	127	21	as	as	ADP
cuesj-522	127	22	a	a	DET
cuesj-522	127	23	result	result	NOUN
cuesj-522	127	24	,	,	PUNCT
cuesj-522	127	25	des	des	PROPN
cuesj-522	127	26	holt	holt	PROPN
cuesj-522	127	27	’s	’s	PART
cuesj-522	127	28	could	could	AUX
cuesj-522	127	29	well	well	ADV
cuesj-522	127	30	be	be	AUX
cuesj-522	127	31	classified	classify	VERB
cuesj-522	127	32	as	as	ADP
cuesj-522	127	33	a	a	DET
cuesj-522	127	34	good	good	ADJ
cuesj-522	127	35	forecasting	forecasting	NOUN
cuesj-522	127	36	approach	approach	NOUN
cuesj-522	127	37	.	.	PUNCT
cuesj-522	128	1	as	as	ADP
cuesj-522	128	2	a	a	DET
cuesj-522	128	3	result	result	NOUN
cuesj-522	128	4	,	,	PUNCT
cuesj-522	128	5	using	use	VERB
cuesj-522	128	6	holt	holt	PROPN
cuesj-522	128	7	’s	’s	PART
cuesj-522	128	8	des	des	PROPN
cuesj-522	128	9	as	as	ADP
cuesj-522	128	10	a	a	DET
cuesj-522	128	11	predicting	predict	VERB
cuesj-522	128	12	approach	approach	NOUN
cuesj-522	128	13	for	for	ADP
cuesj-522	128	14	the	the	DET
cuesj-522	128	15	following	follow	VERB
cuesj-522	128	16	prediction	prediction	NOUN
cuesj-522	128	17	will	will	AUX
cuesj-522	128	18	be	be	AUX
cuesj-522	128	19	more	more	ADV
cuesj-522	128	20	appropriate	appropriate	ADJ
cuesj-522	128	21	.	.	PUNCT
cuesj-522	129	1	parameter	parameter	NOUN
cuesj-522	129	2	optimization	optimization	NOUN
cuesj-522	129	3	results	result	NOUN
cuesj-522	129	4	for	for	ADP
cuesj-522	129	5	des	des	X
cuesj-522	129	6	brown	brown	ADJ
cuesj-522	129	7	parameters	parameter	NOUN
cuesj-522	129	8	for	for	ADP
cuesj-522	129	9	optimization	optimization	NOUN
cuesj-522	129	10	α	α	PROPN
cuesj-522	129	11	des	des	X
cuesj-522	129	12	brown	brown	PROPN
cuesj-522	129	13	used	use	VERB
cuesj-522	129	14	the	the	DET
cuesj-522	129	15	golden	golden	ADJ
cuesj-522	129	16	section	section	NOUN
cuesj-522	129	17	approach	approach	NOUN
cuesj-522	129	18	,	,	PUNCT
cuesj-522	129	19	as	as	ADV
cuesj-522	129	20	well	well	ADV
cuesj-522	129	21	as	as	ADP
cuesj-522	129	22	the	the	DET
cuesj-522	129	23	findings	finding	NOUN
cuesj-522	129	24	could	could	AUX
cuesj-522	129	25	well	well	ADV
cuesj-522	129	26	be	be	AUX
cuesj-522	129	27	found	find	VERB
cuesj-522	129	28	in	in	ADP
cuesj-522	129	29	table	table	NOUN
cuesj-522	129	30	7	7	NUM
cuesj-522	129	31	.	.	PUNCT
cuesj-522	130	1	according	accord	VERB
cuesj-522	130	2	to	to	ADP
cuesj-522	130	3	the	the	DET
cuesj-522	130	4	outcomes	outcome	NOUN
cuesj-522	130	5	of	of	ADP
cuesj-522	130	6	the	the	DET
cuesj-522	130	7	optimization	optimization	NOUN
cuesj-522	130	8	,	,	PUNCT
cuesj-522	130	9	α	α	NOUN
cuesj-522	130	10	=	=	NOUN
cuesj-522	130	11	0.22	0.22	NUM
cuesj-522	130	12	through	through	ADP
cuesj-522	130	13	a	a	DET
cuesj-522	130	14	mape	mape	NOUN
cuesj-522	130	15	optimal	optimal	ADJ
cuesj-522	130	16	value	value	NOUN
cuesj-522	130	17	of	of	ADP
cuesj-522	130	18	9.23616	9.23616	NUM
cuesj-522	130	19	%	%	NOUN
cuesj-522	130	20	.	.	PUNCT
cuesj-522	131	1	while	while	SCONJ
cuesj-522	131	2	=	=	NOUN
cuesj-522	131	3	0.22	0.22	NUM
cuesj-522	131	4	,	,	PUNCT
cuesj-522	131	5	the	the	DET
cuesj-522	131	6	des	des	PROPN
cuesj-522	131	7	brown	brown	PROPN
cuesj-522	131	8	technique	technique	NOUN
cuesj-522	131	9	could	could	AUX
cuesj-522	131	10	be	be	AUX
cuesj-522	131	11	regarded	regard	VERB
cuesj-522	131	12	to	to	PART
cuesj-522	131	13	be	be	AUX
cuesj-522	131	14	good	good	ADJ
cuesj-522	131	15	for	for	ADP
cuesj-522	131	16	prediction	prediction	NOUN
cuesj-522	131	17	.	.	PUNCT
cuesj-522	132	1	the	the	DET
cuesj-522	132	2	best	good	ADJ
cuesj-522	132	3	value	value	NOUN
cuesj-522	132	4	of	of	ADP
cuesj-522	132	5	mape	mape	NOUN
cuesj-522	132	6	was	be	AUX
cuesj-522	132	7	determined	determine	VERB
cuesj-522	132	8	relying	rely	VERB
cuesj-522	132	9	on	on	ADP
cuesj-522	132	10	the	the	DET
cuesj-522	132	11	optimization	optimization	NOUN
cuesj-522	132	12	outcomes	outcome	NOUN
cuesj-522	132	13	.	.	PUNCT
cuesj-522	133	1	des	des	PROPN
cuesj-522	133	2	holt	holt	PROPN
cuesj-522	133	3	’s	’s	PART
cuesj-522	133	4	parameter	parameter	PROPN
cuesj-522	133	5	optimization	optimization	NOUN
cuesj-522	133	6	outcomes	outcome	NOUN
cuesj-522	133	7	the	the	DET
cuesj-522	133	8	parameters	parameter	NOUN
cuesj-522	133	9	optimization	optimization	VERB
cuesj-522	133	10	α	α	NOUN
cuesj-522	133	11	and	and	CCONJ
cuesj-522	133	12	β	β	PROPN
cuesj-522	133	13	on	on	ADP
cuesj-522	133	14	des	des	PROPN
cuesj-522	133	15	holt	holt	PROPN
cuesj-522	133	16	were	be	AUX
cuesj-522	133	17	optimized	optimize	VERB
cuesj-522	133	18	utilizing	utilize	VERB
cuesj-522	133	19	a	a	DET
cuesj-522	133	20	modified	modify	VERB
cuesj-522	133	21	golden	golden	ADJ
cuesj-522	133	22	section	section	NOUN
cuesj-522	133	23	technique	technique	NOUN
cuesj-522	133	24	.	.	PUNCT
cuesj-522	134	1	the	the	DET
cuesj-522	134	2	outcomes	outcome	NOUN
cuesj-522	134	3	of	of	ADP
cuesj-522	134	4	parameter	parameter	NOUN
cuesj-522	134	5	optimization	optimization	NOUN
cuesj-522	134	6	for	for	ADP
cuesj-522	134	7	des	des	PROPN
cuesj-522	134	8	holt	holt	PROPN
cuesj-522	134	9	are	be	AUX
cuesj-522	134	10	presented	present	VERB
cuesj-522	134	11	in	in	ADP
cuesj-522	134	12	table	table	NOUN
cuesj-522	134	13	8	8	NUM
cuesj-522	134	14	.	.	PUNCT
cuesj-522	135	1	relying	rely	VERB
cuesj-522	135	2	on	on	ADP
cuesj-522	135	3	the	the	DET
cuesj-522	135	4	optimization	optimization	NOUN
cuesj-522	135	5	findings	finding	NOUN
cuesj-522	135	6	,	,	PUNCT
cuesj-522	135	7	the	the	DET
cuesj-522	135	8	best	good	ADJ
cuesj-522	135	9	value	value	NOUN
cuesj-522	135	10	of	of	ADP
cuesj-522	135	11	was	be	AUX
cuesj-522	135	12	determined	determine	VERB
cuesj-522	135	13	α=0.95	α=0.95	NOUN
cuesj-522	135	14	and	and	CCONJ
cuesj-522	135	15	β=0.05	β=0.05	NOUN
cuesj-522	135	16	with	with	ADP
cuesj-522	135	17	mape	mape	NOUN
cuesj-522	135	18	optimum	optimum	ADJ
cuesj-522	135	19	value	value	NOUN
cuesj-522	135	20	of	of	ADP
cuesj-522	135	21	8.08586	8.08586	NUM
cuesj-522	135	22	%	%	NOUN
cuesj-522	135	23	.	.	PUNCT
cuesj-522	136	1	as	as	ADP
cuesj-522	136	2	a	a	DET
cuesj-522	136	3	result	result	NOUN
cuesj-522	136	4	,	,	PUNCT
cuesj-522	136	5	the	the	DET
cuesj-522	136	6	des	des	PROPN
cuesj-522	136	7	holt	holt	PROPN
cuesj-522	136	8	technique	technique	NOUN
cuesj-522	136	9	could	could	AUX
cuesj-522	136	10	be	be	AUX
cuesj-522	136	11	considered	consider	VERB
cuesj-522	136	12	to	to	PART
cuesj-522	136	13	be	be	AUX
cuesj-522	136	14	good	good	ADJ
cuesj-522	136	15	at	at	ADP
cuesj-522	136	16	prediction	prediction	NOUN
cuesj-522	136	17	.	.	PUNCT
cuesj-522	137	1	discussion	discussion	NOUN
cuesj-522	137	2	it	it	PRON
cuesj-522	137	3	is	be	AUX
cuesj-522	137	4	shown	show	VERB
cuesj-522	137	5	in	in	ADP
cuesj-522	137	6	table	table	NOUN
cuesj-522	137	7	9	9	NUM
cuesj-522	137	8	shows	show	VERB
cuesj-522	137	9	the	the	DET
cuesj-522	137	10	comparison	comparison	NOUN
cuesj-522	137	11	between	between	ADP
cuesj-522	137	12	brown	brown	PROPN
cuesj-522	137	13	’s	’s	NOUN
cuesj-522	137	14	as	as	ADV
cuesj-522	137	15	well	well	ADV
cuesj-522	137	16	as	as	ADP
cuesj-522	137	17	holt	holt	PROPN
cuesj-522	137	18	’s	’s	PART
cuesj-522	137	19	des	des	PROPN
cuesj-522	137	20	for	for	ADP
cuesj-522	137	21	forecasting	forecast	VERB
cuesj-522	137	22	applied	apply	VERB
cuesj-522	137	23	generation	generation	NOUN
cuesj-522	137	24	electrical	electrical	ADJ
cuesj-522	137	25	energies	energy	NOUN
cuesj-522	137	26	used	use	VERB
cuesj-522	137	27	in	in	ADP
cuesj-522	137	28	this	this	DET
cuesj-522	137	29	study	study	NOUN
cuesj-522	137	30	.	.	PUNCT
cuesj-522	138	1	furthermore	furthermore	ADV
cuesj-522	138	2	,	,	PUNCT
cuesj-522	138	3	this	this	DET
cuesj-522	138	4	technique	technique	NOUN
cuesj-522	138	5	will	will	AUX
cuesj-522	138	6	predict	predict	VERB
cuesj-522	138	7	future	future	ADJ
cuesj-522	138	8	generation	generation	NOUN
cuesj-522	138	9	electrical	electrical	ADJ
cuesj-522	138	10	energies	energy	NOUN
cuesj-522	138	11	values	value	NOUN
cuesj-522	138	12	.	.	PUNCT
cuesj-522	139	1	the	the	DET
cuesj-522	139	2	data	datum	NOUN
cuesj-522	139	3	cover	cover	VERB
cuesj-522	139	4	a	a	DET
cuesj-522	139	5	period	period	NOUN
cuesj-522	139	6	of	of	ADP
cuesj-522	139	7	(	(	PUNCT
cuesj-522	139	8	132	132	NUM
cuesj-522	139	9	)	)	PUNCT
cuesj-522	139	10	months	month	NOUN
cuesj-522	139	11	.	.	PUNCT
cuesj-522	140	1	brown	brown	PROPN
cuesj-522	140	2	’s	’s	PART
cuesj-522	140	3	one	one	NUM
cuesj-522	140	4	-	-	PUNCT
cuesj-522	140	5	parameter	parameter	NOUN
cuesj-522	140	6	linear	linear	ADJ
cuesj-522	140	7	exponential	exponential	ADJ
cuesj-522	140	8	smoothing	smoothing	NOUN
cuesj-522	140	9	method	method	NOUN
cuesj-522	140	10	is	be	AUX
cuesj-522	140	11	presently	presently	ADV
cuesj-522	140	12	being	be	AUX
cuesj-522	140	13	used	use	VERB
cuesj-522	140	14	.	.	PUNCT
cuesj-522	141	1	the	the	DET
cuesj-522	141	2	best	good	ADJ
cuesj-522	141	3	prediction	prediction	NOUN
cuesj-522	141	4	for	for	ADP
cuesj-522	141	5	future	future	ADJ
cuesj-522	141	6	data	datum	NOUN
cuesj-522	141	7	,	,	PUNCT
cuesj-522	141	8	according	accord	VERB
cuesj-522	141	9	to	to	ADP
cuesj-522	141	10	this	this	DET
cuesj-522	141	11	approach	approach	NOUN
cuesj-522	141	12	,	,	PUNCT
cuesj-522	141	13	is	be	AUX
cuesj-522	141	14	a	a	DET
cuesj-522	141	15	linear	linear	ADJ
cuesj-522	141	16	trend	trend	NOUN
cuesj-522	141	17	calculated	calculate	VERB
cuesj-522	141	18	by	by	ADP
cuesj-522	141	19	exponentially	exponentially	ADV
cuesj-522	141	20	weighing	weigh	VERB
cuesj-522	141	21	whole	whole	ADJ
cuesj-522	141	22	past	past	ADJ
cuesj-522	141	23	data	datum	NOUN
cuesj-522	141	24	values	value	NOUN
cuesj-522	141	25	.	.	PUNCT
cuesj-522	142	1	even	even	ADV
cuesj-522	142	2	before	before	SCONJ
cuesj-522	142	3	models	model	NOUN
cuesj-522	142	4	is	be	AUX
cuesj-522	142	5	fit	fit	ADJ
cuesj-522	142	6	as	as	ADV
cuesj-522	142	7	well	well	ADV
cuesj-522	142	8	as	as	ADP
cuesj-522	142	9	holt	holt	PROPN
cuesj-522	142	10	’s	’s	PART
cuesj-522	142	11	twoparameter	twoparameter	ADJ
cuesj-522	142	12	linear	linear	ADJ
cuesj-522	142	13	exponential	exponential	ADJ
cuesj-522	142	14	smoothing	smoothing	NOUN
cuesj-522	142	15	method	method	NOUN
cuesj-522	142	16	was	be	AUX
cuesj-522	142	17	chosen	choose	VERB
cuesj-522	142	18	,	,	PUNCT
cuesj-522	142	19	every	every	DET
cuesj-522	142	20	value	value	NOUN
cuesj-522	142	21	of	of	ADP
cuesj-522	142	22	generation	generation	NOUN
cuesj-522	142	23	electrical	electrical	ADJ
cuesj-522	142	24	energies	energy	NOUN
cuesj-522	142	25	was	be	AUX
cuesj-522	142	26	changed	change	VERB
cuesj-522	142	27	as	as	SCONJ
cuesj-522	142	28	follows	follow	VERB
cuesj-522	142	29	.	.	PUNCT
cuesj-522	143	1	the	the	DET
cuesj-522	143	2	best	good	ADJ
cuesj-522	143	3	prediction	prediction	NOUN
cuesj-522	143	4	for	for	ADP
cuesj-522	143	5	future	future	ADJ
cuesj-522	143	6	data	datum	NOUN
cuesj-522	143	7	,	,	PUNCT
cuesj-522	143	8	according	accord	VERB
cuesj-522	143	9	to	to	ADP
cuesj-522	143	10	this	this	DET
cuesj-522	143	11	table	table	NOUN
cuesj-522	143	12	8	8	NUM
cuesj-522	143	13	:	:	PUNCT
cuesj-522	143	14	des	des	PROPN
cuesj-522	143	15	holt	holt	PROPN
cuesj-522	143	16	’s	’s	PART
cuesj-522	143	17	parameter	parameter	PROPN
cuesj-522	143	18	optimization	optimization	NOUN
cuesj-522	143	19	outcomes	outcome	NOUN
cuesj-522	143	20	mape	mape	PROPN
cuesj-522	143	21	β	β	X
cuesj-522	143	22	α	α	PROPN
cuesj-522	143	23	0.05	0.05	NUM
cuesj-522	143	24	0.06	0.06	NUM
cuesj-522	143	25	0.07	0.07	NUM
cuesj-522	143	26	0.08	0.08	NUM
cuesj-522	143	27	0.09	0.09	NUM
cuesj-522	143	28	0.1	0.1	NUM
cuesj-522	143	29	0.11	0.11	NUM
cuesj-522	143	30	0.12	0.12	NUM
cuesj-522	143	31	0.13	0.13	NUM
cuesj-522	143	32	0.14	0.14	NUM
cuesj-522	143	33	0.15	0.15	NUM
cuesj-522	143	34	0.85	0.85	NUM
cuesj-522	143	35	8.31223	8.31223	NUM
cuesj-522	143	36	8.35224	8.35224	NUM
cuesj-522	143	37	8.39135	8.39135	NUM
cuesj-522	143	38	8.42957	8.42957	NUM
cuesj-522	143	39	8.46679	8.46679	NUM
cuesj-522	143	40	8.50296	8.50296	NUM
cuesj-522	143	41	8.53965	8.53965	NUM
cuesj-522	143	42	8.57689	8.57689	NUM
cuesj-522	143	43	8.61677	8.61677	NUM
cuesj-522	143	44	8.6565	8.6565	NUM
cuesj-522	143	45	8.69609	8.69609	NUM
cuesj-522	143	46	0.86	0.86	NUM
cuesj-522	143	47	8.28947	8.28947	NUM
cuesj-522	143	48	8.32858	8.32858	NUM
cuesj-522	143	49	8.36675	8.36675	NUM
cuesj-522	143	50	8.404	8.404	NUM
cuesj-522	143	51	8.44023	8.44023	NUM
cuesj-522	143	52	8.47538	8.47538	NUM
cuesj-522	143	53	8.51364	8.51364	NUM
cuesj-522	143	54	8.55456	8.55456	NUM
cuesj-522	143	55	8.59434	8.59434	NUM
cuesj-522	143	56	8.63298	8.63298	NUM
cuesj-522	143	57	8.67083	8.67083	NUM
cuesj-522	143	58	0.87	0.87	NUM
cuesj-522	143	59	8.26557	8.26557	NUM
cuesj-522	143	60	8.30375	8.30375	NUM
cuesj-522	143	61	8.34097	8.34097	NUM
cuesj-522	143	62	8.37777	8.37777	NUM
cuesj-522	143	63	8.4153	8.4153	NUM
cuesj-522	143	64	8.45283	8.45283	NUM
cuesj-522	143	65	8.49215	8.49215	NUM
cuesj-522	143	66	8.53183	8.53183	NUM
cuesj-522	143	67	8.57054	8.57054	NUM
cuesj-522	143	68	8.60807	8.60807	NUM
cuesj-522	143	69	8.64593	8.64593	NUM
cuesj-522	143	70	0.88	0.88	NUM
cuesj-522	143	71	8.242	8.242	NUM
cuesj-522	143	72	8.28048	8.28048	NUM
cuesj-522	143	73	8.3184	8.3184	NUM
cuesj-522	143	74	8.35572	8.35572	NUM
cuesj-522	143	75	8.39245	8.39245	NUM
cuesj-522	143	76	8.43171	8.43171	NUM
cuesj-522	143	77	8.47005	8.47005	NUM
cuesj-522	143	78	8.5078	8.5078	NUM
cuesj-522	143	79	8.54588	8.54588	NUM
cuesj-522	143	80	8.58339	8.58339	NUM
cuesj-522	143	81	8.62155	8.62155	NUM
cuesj-522	143	82	0.89	0.89	NUM
cuesj-522	143	83	8.22163	8.22163	NUM
cuesj-522	143	84	8.25912	8.25912	NUM
cuesj-522	143	85	8.29615	8.29615	NUM
cuesj-522	143	86	8.33255	8.33255	NUM
cuesj-522	143	87	8.37105	8.37105	NUM
cuesj-522	143	88	8.40933	8.40933	NUM
cuesj-522	143	89	8.44705	8.44705	NUM
cuesj-522	143	90	8.48398	8.48398	NUM
cuesj-522	143	91	8.52058	8.52058	NUM
cuesj-522	143	92	8.55875	8.55875	NUM
cuesj-522	143	93	8.59577	8.59577	NUM
cuesj-522	143	94	0.9	0.9	NUM
cuesj-522	143	95	8.20099	8.20099	NUM
cuesj-522	143	96	8.23723	8.23723	NUM
cuesj-522	143	97	8.27313	8.27313	NUM
cuesj-522	143	98	8.31057	8.31057	NUM
cuesj-522	143	99	8.34901	8.34901	NUM
cuesj-522	143	100	8.38666	8.38666	NUM
cuesj-522	143	101	8.42346	8.42346	NUM
cuesj-522	143	102	8.45936	8.45936	NUM
cuesj-522	143	103	8.49604	8.49604	NUM
cuesj-522	143	104	8.53278	8.53278	NUM
cuesj-522	143	105	8.5736	8.5736	NUM
cuesj-522	143	106	0.91	0.91	NUM
cuesj-522	143	107	8.17931	8.17931	NUM
cuesj-522	143	108	8.21468	8.21468	NUM
cuesj-522	143	109	8.25059	8.25059	NUM
cuesj-522	143	110	8.28874	8.28874	NUM
cuesj-522	143	111	8.32622	8.32622	NUM
cuesj-522	143	112	8.36288	8.36288	NUM
cuesj-522	143	113	8.39866	8.39866	PROPN
cuesj-522	143	114	8.43469	8.43469	NUM
cuesj-522	143	115	8.47076	8.47076	NUM
cuesj-522	143	116	8.51242	8.51242	NUM
cuesj-522	143	117	8.55396	8.55396	NUM
cuesj-522	143	118	0.92	0.92	NUM
cuesj-522	143	119	8.15662	8.15662	NUM
cuesj-522	143	120	8.19111	8.19111	NUM
cuesj-522	143	121	8.22857	8.22857	NUM
cuesj-522	143	122	8.26578	8.26578	NUM
cuesj-522	143	123	8.30228	8.30228	NUM
cuesj-522	143	124	8.33793	8.33793	NUM
cuesj-522	143	125	8.37328	8.37328	NUM
cuesj-522	143	126	8.41065	8.41065	NUM
cuesj-522	143	127	8.45232	8.45232	NUM
cuesj-522	143	128	8.49412	8.49412	NUM
cuesj-522	143	129	8.53502	8.53502	NUM
cuesj-522	143	130	0.93	0.93	NUM
cuesj-522	143	131	8.13297	8.13297	NUM
cuesj-522	143	132	8.16867	8.16867	NUM
cuesj-522	143	133	8.20548	8.20548	NUM
cuesj-522	143	134	8.24172	8.24172	NUM
cuesj-522	143	135	8.27723	8.27723	NUM
cuesj-522	143	136	8.31264	8.31264	NUM
cuesj-522	143	137	8.35077	8.35077	NUM
cuesj-522	143	138	8.39256	8.39256	NUM
cuesj-522	143	139	8.43426	8.43426	NUM
cuesj-522	143	140	8.47501	8.47501	NUM
cuesj-522	143	141	8.51483	8.51483	NUM
cuesj-522	143	142	0.94	0.94	NUM
cuesj-522	143	143	8.10912	8.10912	NUM
cuesj-522	143	144	8.14547	8.14547	NUM
cuesj-522	143	145	8.18134	8.18134	NUM
cuesj-522	143	146	8.217	8.217	NUM
cuesj-522	143	147	8.25359	8.25359	NUM
cuesj-522	143	148	8.29134	8.29134	NUM
cuesj-522	143	149	8.33257	8.33257	NUM
cuesj-522	143	150	8.37418	8.37418	NUM
cuesj-522	143	151	8.41484	8.41484	NUM
cuesj-522	143	152	8.45497	8.45497	NUM
cuesj-522	143	153	8.49577	8.49577	NUM
cuesj-522	143	154	0.95	0.95	NUM
cuesj-522	143	155	8.08586	8.08586	NUM
cuesj-522	143	156	8.12153	8.12153	NUM
cuesj-522	143	157	8.15834	8.15834	NUM
cuesj-522	143	158	8.19464	8.19464	NUM
cuesj-522	143	159	8.23179	8.23179	NUM
cuesj-522	143	160	8.27237	8.27237	NUM
cuesj-522	143	161	8.31392	8.31392	NUM
cuesj-522	143	162	8.35451	8.35451	NUM
cuesj-522	143	163	8.39493	8.39493	NUM
cuesj-522	143	164	8.43563	8.43563	NUM
cuesj-522	143	165	8.47533	8.47533	NUM
cuesj-522	143	166	table	table	NOUN
cuesj-522	143	167	9	9	NUM
cuesj-522	143	168	:	:	PUNCT
cuesj-522	143	169	the	the	DET
cuesj-522	143	170	result	result	NOUN
cuesj-522	143	171	of	of	ADP
cuesj-522	143	172	the	the	DET
cuesj-522	143	173	mape	mape	NOUN
cuesj-522	143	174	score	score	NOUN
cuesj-522	143	175	of	of	ADP
cuesj-522	143	176	parameter	parameter	NOUN
cuesj-522	143	177	optimization	optimization	NOUN
cuesj-522	143	178	for	for	ADP
cuesj-522	143	179	des	des	X
cuesj-522	143	180	brown	brown	PROPN
cuesj-522	143	181	and	and	CCONJ
cuesj-522	143	182	holt	holt	PROPN
cuesj-522	143	183	’s	’s	PART
cuesj-522	143	184	criteria	criteria	PROPN
cuesj-522	143	185	des	des	PROPN
cuesj-522	143	186	brown	brown	PROPN
cuesj-522	143	187	des	des	PROPN
cuesj-522	143	188	holt	holt	PROPN
cuesj-522	143	189	’s	’s	PART
cuesj-522	143	190	α=0.22	α=0.22	PROPN
cuesj-522	143	191	α=0.95	α=0.95	PROPN
cuesj-522	143	192	and	and	CCONJ
cuesj-522	143	193	β=0.05	β=0.05	NOUN
cuesj-522	143	194	period	period	NOUN
cuesj-522	143	195	period	period	NOUN
cuesj-522	143	196	mape	mape	NOUN
cuesj-522	143	197	9.23616	9.23616	NUM
cuesj-522	143	198	8.08586	8.08586	NUM
cuesj-522	143	199	forecast	forecast	NOUN
cuesj-522	143	200	summary	summary	NOUN
cuesj-522	143	201	.	.	PUNCT
cuesj-522	144	1	*	*	PUNCT
cuesj-522	144	2	brown	brown	PROPN
cuesj-522	144	3	’s	’s	PART
cuesj-522	144	4	linear	linear	PROPN
cuesj-522	144	5	exp	exp	PROPN
cuesj-522	144	6	.	.	PUNCT
cuesj-522	145	1	smoothing	smoothing	NOUN
cuesj-522	145	2	was	be	AUX
cuesj-522	145	3	used	use	VERB
cuesj-522	145	4	as	as	ADP
cuesj-522	145	5	the	the	DET
cuesj-522	145	6	prediction	prediction	NOUN
cuesj-522	145	7	models	model	NOUN
cuesj-522	145	8	α=0.22	α=0.22	VERB
cuesj-522	145	9	.	.	PUNCT
cuesj-522	146	1	*	*	PUNCT
cuesj-522	146	2	the	the	DET
cuesj-522	146	3	forecast	forecast	NOUN
cuesj-522	146	4	model	model	NOUN
cuesj-522	146	5	has	have	AUX
cuesj-522	146	6	been	be	AUX
cuesj-522	146	7	chosen	choose	VERB
cuesj-522	146	8	:	:	PUNCT
cuesj-522	146	9	holt	holt	PROPN
cuesj-522	146	10	’s	’s	PART
cuesj-522	146	11	linear	linear	PROPN
cuesj-522	146	12	exp	exp	PROPN
cuesj-522	146	13	.	.	PUNCT
cuesj-522	147	1	smoothing	smooth	VERB
cuesj-522	147	2	through	through	ADP
cuesj-522	147	3	α=0.95	α=0.95	NOUN
cuesj-522	147	4	and	and	CCONJ
cuesj-522	147	5	β=0.05	β=0.05	NOUN
cuesj-522	147	6	table	table	NOUN
cuesj-522	147	7	7	7	NUM
cuesj-522	147	8	:	:	PUNCT
cuesj-522	147	9	des	des	X
cuesj-522	147	10	brown	brown	PROPN
cuesj-522	147	11	’s	’s	PROPN
cuesj-522	147	12	parameter	parameter	PROPN
cuesj-522	147	13	optimization	optimization	NOUN
cuesj-522	147	14	outcomes	outcome	NOUN
cuesj-522	147	15	α	α	PROPN
cuesj-522	147	16	0.15	0.15	NUM
cuesj-522	147	17	0.16	0.16	NUM
cuesj-522	147	18	0.17	0.17	NUM
cuesj-522	147	19	0.18	0.18	NUM
cuesj-522	147	20	0.19	0.19	NUM
cuesj-522	147	21	0.2	0.2	NUM
cuesj-522	147	22	0.21	0.21	NUM
cuesj-522	147	23	0.22	0.22	NUM
cuesj-522	147	24	0.23	0.23	NUM
cuesj-522	147	25	0.24	0.24	NUM
cuesj-522	147	26	0.25	0.25	NUM
cuesj-522	147	27	mape	mape	NOUN
cuesj-522	147	28	9.77084	9.77084	NUM
cuesj-522	147	29	9.59147	9.59147	NUM
cuesj-522	147	30	9.45939	9.45939	NUM
cuesj-522	147	31	9.3768	9.3768	NUM
cuesj-522	147	32	9.31287	9.31287	NUM
cuesj-522	147	33	9.26275	9.26275	NUM
cuesj-522	147	34	9.23656	9.23656	NUM
cuesj-522	147	35	9.23616	9.23616	NUM
cuesj-522	147	36	9.25097	9.25097	NUM
cuesj-522	147	37	9.26356	9.26356	NUM
cuesj-522	147	38	9.28123	9.28123	NUM
cuesj-522	147	39	table	table	NOUN
cuesj-522	147	40	6	6	NUM
cuesj-522	147	41	:	:	PUNCT
cuesj-522	147	42	the	the	DET
cuesj-522	147	43	result	result	NOUN
cuesj-522	147	44	of	of	ADP
cuesj-522	147	45	mape	mape	NOUN
cuesj-522	147	46	score	score	NOUN
cuesj-522	147	47	method	method	PROPN
cuesj-522	147	48	mape	mape	NOUN
cuesj-522	147	49	(	(	PUNCT
cuesj-522	147	50	%	%	INTJ
cuesj-522	147	51	)	)	PUNCT
cuesj-522	147	52	des	des	PROPN
cuesj-522	147	53	brown	brown	PROPN
cuesj-522	147	54	’s	’s	PART
cuesj-522	147	55	9.26275	9.26275	NUM
cuesj-522	147	56	des	des	PROPN
cuesj-522	147	57	holt	holt	PROPN
cuesj-522	147	58	’s	’s	PART
cuesj-522	147	59	8.38666	8.38666	NUM
cuesj-522	147	60	omer	omer	PROPN
cuesj-522	147	61	,	,	PUNCT
cuesj-522	147	62	et	et	PROPN
cuesj-522	147	63	al	al	PROPN
cuesj-522	147	64	.	.	PROPN
cuesj-522	147	65	:	:	PUNCT
cuesj-522	148	1	brown	brown	PROPN
cuesj-522	148	2	’s	’s	PART
cuesj-522	148	3	and	and	CCONJ
cuesj-522	148	4	holt	holt	PROPN
cuesj-522	148	5	’s	’s	PART
cuesj-522	148	6	double	double	ADJ
cuesj-522	148	7	exponential	exponential	NOUN
cuesj-522	148	8	smoothing	smooth	VERB
cuesj-522	148	9	62	62	NUM
cuesj-522	148	10	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-522	148	11	cuesj	cuesj	ADJ
cuesj-522	148	12	2021	2021	NUM
cuesj-522	148	13	,	,	PUNCT
cuesj-522	148	14	5	5	NUM
cuesj-522	148	15	(	(	PUNCT
cuesj-522	148	16	2	2	NUM
cuesj-522	148	17	):	):	PUNCT
cuesj-522	148	18	56	56	NUM
cuesj-522	148	19	-	-	SYM
cuesj-522	148	20	63	63	NUM
cuesj-522	148	21	table	table	NOUN
cuesj-522	148	22	10	10	NUM
cuesj-522	148	23	:	:	PUNCT
cuesj-522	148	24	forecasting	forecast	VERB
cuesj-522	148	25	by	by	ADP
cuesj-522	148	26	using	use	VERB
cuesj-522	148	27	des	des	PROPN
cuesj-522	148	28	brown	brown	PROPN
cuesj-522	148	29	and	and	CCONJ
cuesj-522	148	30	holt	holt	PROPN
cuesj-522	148	31	methods	method	NOUN
cuesj-522	148	32	years	year	NOUN
cuesj-522	148	33	months	month	NOUN
cuesj-522	148	34	des	des	PROPN
cuesj-522	148	35	brown	brown	PROPN
cuesj-522	148	36	des	des	PROPN
cuesj-522	148	37	holt	holt	PROPN
cuesj-522	148	38	’s	’s	PART
cuesj-522	148	39	years	year	NOUN
cuesj-522	148	40	months	month	NOUN
cuesj-522	148	41	des	des	PROPN
cuesj-522	148	42	brown	brown	PROPN
cuesj-522	148	43	des	des	PROPN
cuesj-522	148	44	holt	holt	PROPN
cuesj-522	148	45	’s	’s	PART
cuesj-522	148	46	2021	2021	NUM
cuesj-522	148	47	1	1	NUM
cuesj-522	148	48	3063.27	3063.27	NUM
cuesj-522	148	49	3316.63	3316.63	NUM
cuesj-522	148	50	2024	2024	NUM
cuesj-522	148	51	1	1	NUM
cuesj-522	148	52	3109.59	3109.59	NUM
cuesj-522	148	53	3971.89	3971.89	NUM
cuesj-522	148	54	2	2	NUM
cuesj-522	148	55	3064.55	3064.55	NUM
cuesj-522	148	56	3334.83	3334.83	NUM
cuesj-522	148	57	2	2	NUM
cuesj-522	148	58	3110.87	3110.87	NUM
cuesj-522	148	59	3990.09	3990.09	NUM
cuesj-522	148	60	3	3	NUM
cuesj-522	148	61	3065.84	3065.84	NUM
cuesj-522	148	62	3353.03	3353.03	NUM
cuesj-522	148	63	3	3	NUM
cuesj-522	148	64	3112.16	3112.16	NUM
cuesj-522	148	65	4008.29	4008.29	NUM
cuesj-522	148	66	4	4	NUM
cuesj-522	148	67	3067.13	3067.13	NUM
cuesj-522	148	68	3371.23	3371.23	NUM
cuesj-522	148	69	4	4	NUM
cuesj-522	148	70	3113.45	3113.45	NUM
cuesj-522	148	71	4026.49	4026.49	NUM
cuesj-522	148	72	5	5	NUM
cuesj-522	148	73	3068.41	3068.41	NUM
cuesj-522	148	74	3389.43	3389.43	NUM
cuesj-522	148	75	5	5	NUM
cuesj-522	148	76	3114.73	3114.73	NUM
cuesj-522	148	77	4044.69	4044.69	NUM
cuesj-522	148	78	6	6	NUM
cuesj-522	148	79	3069.7	3069.7	NUM
cuesj-522	148	80	3407.64	3407.64	NUM
cuesj-522	148	81	6	6	NUM
cuesj-522	148	82	3116.02	3116.02	NUM
cuesj-522	148	83	4062.9	4062.9	NUM
cuesj-522	148	84	7	7	NUM
cuesj-522	148	85	3070.99	3070.99	NUM
cuesj-522	148	86	3425.84	3425.84	NUM
cuesj-522	148	87	7	7	NUM
cuesj-522	148	88	3117.31	3117.31	NUM
cuesj-522	148	89	4081.1	4081.1	NUM
cuesj-522	148	90	8	8	NUM
cuesj-522	148	91	3072.27	3072.27	NUM
cuesj-522	148	92	3444.04	3444.04	NUM
cuesj-522	148	93	8	8	NUM
cuesj-522	148	94	3118.59	3118.59	NUM
cuesj-522	148	95	4099.3	4099.3	NUM
cuesj-522	148	96	9	9	NUM
cuesj-522	148	97	3073.56	3073.56	NUM
cuesj-522	148	98	3462.24	3462.24	NUM
cuesj-522	148	99	9	9	NUM
cuesj-522	148	100	3119.88	3119.88	NUM
cuesj-522	148	101	4117.5	4117.5	NUM
cuesj-522	148	102	10	10	NUM
cuesj-522	148	103	3074.85	3074.85	NUM
cuesj-522	148	104	3480.44	3480.44	NUM
cuesj-522	148	105	10	10	NUM
cuesj-522	148	106	3121.17	3121.17	NUM
cuesj-522	148	107	4135.7	4135.7	NUM
cuesj-522	148	108	11	11	NUM
cuesj-522	148	109	3076.13	3076.13	NUM
cuesj-522	148	110	3498.64	3498.64	NUM
cuesj-522	148	111	11	11	NUM
cuesj-522	148	112	3122.45	3122.45	NUM
cuesj-522	148	113	4153.9	4153.9	NUM
cuesj-522	148	114	12	12	NUM
cuesj-522	148	115	3077.42	3077.42	NUM
cuesj-522	148	116	3516.85	3516.85	NUM
cuesj-522	148	117	12	12	NUM
cuesj-522	148	118	3123.74	3123.74	NUM
cuesj-522	148	119	4172.11	4172.11	NUM
cuesj-522	148	120	2022	2022	NUM
cuesj-522	148	121	1	1	NUM
cuesj-522	148	122	3078.71	3078.71	NUM
cuesj-522	148	123	3535.05	3535.05	NUM
cuesj-522	148	124	2025	2025	NUM
cuesj-522	148	125	1	1	NUM
cuesj-522	148	126	3125.03	3125.03	NUM
cuesj-522	148	127	4190.31	4190.31	NUM
cuesj-522	148	128	2	2	NUM
cuesj-522	148	129	3079.99	3079.99	NUM
cuesj-522	148	130	3553.25	3553.25	NUM
cuesj-522	148	131	2	2	NUM
cuesj-522	148	132	3126.31	3126.31	NUM
cuesj-522	148	133	4208.51	4208.51	NUM
cuesj-522	148	134	3	3	NUM
cuesj-522	148	135	3081.28	3081.28	NUM
cuesj-522	148	136	3571.45	3571.45	NUM
cuesj-522	148	137	3	3	NUM
cuesj-522	148	138	3127.6	3127.6	NUM
cuesj-522	148	139	4226.71	4226.71	NUM
cuesj-522	148	140	4	4	NUM
cuesj-522	148	141	3082.57	3082.57	NUM
cuesj-522	148	142	3589.65	3589.65	NUM
cuesj-522	148	143	4	4	NUM
cuesj-522	148	144	3128.89	3128.89	NUM
cuesj-522	148	145	4244.91	4244.91	NUM
cuesj-522	148	146	5	5	NUM
cuesj-522	148	147	3083.85	3083.85	NUM
cuesj-522	148	148	3607.85	3607.85	NUM
cuesj-522	148	149	5	5	NUM
cuesj-522	148	150	3130.17	3130.17	NUM
cuesj-522	148	151	4263.11	4263.11	NUM
cuesj-522	148	152	6	6	NUM
cuesj-522	148	153	3085.14	3085.14	NUM
cuesj-522	148	154	3626.06	3626.06	NUM
cuesj-522	148	155	6	6	NUM
cuesj-522	148	156	3131.46	3131.46	NUM
cuesj-522	148	157	4281.32	4281.32	NUM
cuesj-522	148	158	7	7	NUM
cuesj-522	148	159	3086.43	3086.43	NUM
cuesj-522	148	160	3644.26	3644.26	NUM
cuesj-522	148	161	7	7	NUM
cuesj-522	148	162	3132.75	3132.75	NUM
cuesj-522	148	163	4299.52	4299.52	NUM
cuesj-522	148	164	8	8	NUM
cuesj-522	148	165	3087.71	3087.71	NUM
cuesj-522	148	166	3662.46	3662.46	NUM
cuesj-522	148	167	8	8	NUM
cuesj-522	148	168	3134.03	3134.03	NUM
cuesj-522	148	169	4317.72	4317.72	NUM
cuesj-522	148	170	9	9	NUM
cuesj-522	148	171	3089.0	3089.0	NUM
cuesj-522	148	172	3680.66	3680.66	NUM
cuesj-522	148	173	9	9	NUM
cuesj-522	148	174	3135.32	3135.32	NUM
cuesj-522	148	175	4335.92	4335.92	NUM
cuesj-522	148	176	10	10	NUM
cuesj-522	148	177	3090.29	3090.29	NUM
cuesj-522	148	178	3698.86	3698.86	NUM
cuesj-522	148	179	10	10	NUM
cuesj-522	148	180	3136.61	3136.61	NUM
cuesj-522	148	181	4354.12	4354.12	NUM
cuesj-522	148	182	11	11	NUM
cuesj-522	148	183	3091.57	3091.57	NUM
cuesj-522	148	184	3717.06	3717.06	NUM
cuesj-522	148	185	11	11	NUM
cuesj-522	148	186	3137.89	3137.89	NUM
cuesj-522	148	187	4372.32	4372.32	NUM
cuesj-522	148	188	12	12	NUM
cuesj-522	148	189	3092.86	3092.86	NUM
cuesj-522	148	190	3735.27	3735.27	NUM
cuesj-522	148	191	12	12	NUM
cuesj-522	148	192	3139.18	3139.18	NUM
cuesj-522	148	193	4390.53	4390.53	NUM
cuesj-522	148	194	2023	2023	NUM
cuesj-522	148	195	1	1	NUM
cuesj-522	148	196	3094.15	3094.15	NUM
cuesj-522	148	197	3753.47	3753.47	NUM
cuesj-522	148	198	2	2	NUM
cuesj-522	148	199	3095.43	3095.43	NUM
cuesj-522	148	200	3771.67	3771.67	NUM
cuesj-522	148	201	3	3	NUM
cuesj-522	148	202	3096.72	3096.72	NUM
cuesj-522	148	203	3789.87	3789.87	NUM
cuesj-522	148	204	4	4	NUM
cuesj-522	148	205	3098.01	3098.01	NUM
cuesj-522	148	206	3808.07	3808.07	NUM
cuesj-522	148	207	5	5	NUM
cuesj-522	148	208	3099.29	3099.29	NUM
cuesj-522	148	209	3826.27	3826.27	NUM
cuesj-522	148	210	6	6	NUM
cuesj-522	148	211	3100.58	3100.58	NUM
cuesj-522	148	212	3844.48	3844.48	NUM
cuesj-522	148	213	7	7	NUM
cuesj-522	148	214	3101.87	3101.87	NUM
cuesj-522	148	215	3862.68	3862.68	NUM
cuesj-522	148	216	8	8	NUM
cuesj-522	148	217	3103.15	3103.15	NUM
cuesj-522	148	218	3880.88	3880.88	NUM
cuesj-522	148	219	9	9	NUM
cuesj-522	148	220	3104.44	3104.44	NUM
cuesj-522	148	221	3899.08	3899.08	NUM
cuesj-522	148	222	10	10	NUM
cuesj-522	148	223	3105.73	3105.73	NUM
cuesj-522	148	224	3917.28	3917.28	NUM
cuesj-522	148	225	11	11	NUM
cuesj-522	148	226	3107.01	3107.01	NUM
cuesj-522	148	227	3935.48	3935.48	NUM
cuesj-522	148	228	12	12	NUM
cuesj-522	148	229	3108.3	3108.3	NUM
cuesj-522	148	230	3953.69	3953.69	NUM
cuesj-522	148	231	approach	approach	NOUN
cuesj-522	148	232	,	,	PUNCT
cuesj-522	148	233	is	be	AUX
cuesj-522	148	234	a	a	DET
cuesj-522	148	235	linear	linear	ADJ
cuesj-522	148	236	trend	trend	NOUN
cuesj-522	148	237	calculated	calculate	VERB
cuesj-522	148	238	by	by	ADP
cuesj-522	148	239	exponentially	exponentially	ADV
cuesj-522	148	240	weighing	weigh	VERB
cuesj-522	148	241	whole	whole	ADJ
cuesj-522	148	242	past	past	ADJ
cuesj-522	148	243	data	datum	NOUN
cuesj-522	148	244	values	value	NOUN
cuesj-522	148	245	.	.	PUNCT
cuesj-522	149	1	before	before	ADP
cuesj-522	149	2	fitting	fit	VERB
cuesj-522	149	3	the	the	DET
cuesj-522	149	4	model	model	NOUN
cuesj-522	149	5	,	,	PUNCT
cuesj-522	149	6	each	each	DET
cuesj-522	149	7	value	value	NOUN
cuesj-522	149	8	of	of	ADP
cuesj-522	149	9	the	the	DET
cuesj-522	149	10	generation	generation	NOUN
cuesj-522	149	11	electrical	electrical	ADJ
cuesj-522	149	12	energies	energy	NOUN
cuesj-522	149	13	was	be	AUX
cuesj-522	149	14	modified	modify	VERB
cuesj-522	149	15	as	as	SCONJ
cuesj-522	149	16	follows	follow	VERB
cuesj-522	149	17	.	.	PUNCT
cuesj-522	150	1	as	as	ADP
cuesj-522	150	2	a	a	DET
cuesj-522	150	3	consequence	consequence	NOUN
cuesj-522	150	4	,	,	PUNCT
cuesj-522	150	5	des	des	PROPN
cuesj-522	150	6	holt	holt	PROPN
cuesj-522	150	7	’s	’s	PART
cuesj-522	150	8	approach	approach	NOUN
cuesj-522	150	9	could	could	AUX
cuesj-522	150	10	be	be	AUX
cuesj-522	150	11	considered	consider	VERB
cuesj-522	150	12	to	to	PART
cuesj-522	150	13	be	be	AUX
cuesj-522	150	14	good	good	ADJ
cuesj-522	150	15	at	at	ADP
cuesj-522	150	16	forecasting	forecasting	NOUN
cuesj-522	150	17	.	.	PUNCT
cuesj-522	151	1	des	des	PROPN
cuesj-522	151	2	holt	holt	PROPN
cuesj-522	151	3	’s	’s	PART
cuesj-522	151	4	is	be	AUX
cuesj-522	151	5	chosen	choose	VERB
cuesj-522	151	6	as	as	ADP
cuesj-522	151	7	the	the	DET
cuesj-522	151	8	strongest	strong	ADJ
cuesj-522	151	9	forecasting	forecasting	NOUN
cuesj-522	151	10	model	model	NOUN
cuesj-522	151	11	.	.	PUNCT
cuesj-522	152	1	depending	depend	VERB
cuesj-522	152	2	on	on	ADP
cuesj-522	152	3	the	the	DET
cuesj-522	152	4	optimization	optimization	NOUN
cuesj-522	152	5	outcomes	outcome	NOUN
cuesj-522	152	6	,	,	PUNCT
cuesj-522	152	7	achieved	achieve	VERB
cuesj-522	152	8	optimal	optimal	ADJ
cuesj-522	152	9	value	value	NOUN
cuesj-522	152	10	of	of	ADP
cuesj-522	152	11	(	(	PUNCT
cuesj-522	152	12	α=0.95	α=0.95	NOUN
cuesj-522	152	13	and	and	CCONJ
cuesj-522	152	14	β=0.05	β=0.05	NOUN
cuesj-522	152	15	)	)	PUNCT
cuesj-522	152	16	through	through	ADP
cuesj-522	152	17	mape	mape	NOUN
cuesj-522	152	18	optimum	optimum	ADJ
cuesj-522	152	19	value	value	NOUN
cuesj-522	152	20	of	of	ADP
cuesj-522	152	21	8.08586	8.08586	NUM
cuesj-522	152	22	%	%	NOUN
cuesj-522	152	23	in	in	ADP
cuesj-522	152	24	des	des	PROPN
cuesj-522	152	25	holt	holt	PROPN
cuesj-522	152	26	’s	’s	PART
cuesj-522	152	27	technique	technique	NOUN
cuesj-522	152	28	.	.	PUNCT
cuesj-522	153	1	however	however	ADV
cuesj-522	153	2	,	,	PUNCT
cuesj-522	153	3	depending	depend	VERB
cuesj-522	153	4	on	on	ADP
cuesj-522	153	5	the	the	DET
cuesj-522	153	6	optimization	optimization	NOUN
cuesj-522	153	7	outcomes	outcome	NOUN
cuesj-522	153	8	in	in	ADP
cuesj-522	153	9	the	the	DET
cuesj-522	153	10	des	des	PROPN
cuesj-522	153	11	brown	brown	PROPN
cuesj-522	153	12	’s	’s	PART
cuesj-522	153	13	technique	technique	NOUN
cuesj-522	153	14	,	,	PUNCT
cuesj-522	153	15	an	an	DET
cuesj-522	153	16	optimal	optimal	ADJ
cuesj-522	153	17	value	value	NOUN
cuesj-522	153	18	of	of	ADP
cuesj-522	153	19	α=0.22	α=0.22	NOUN
cuesj-522	153	20	was	be	AUX
cuesj-522	153	21	found	find	VERB
cuesj-522	153	22	,	,	PUNCT
cuesj-522	153	23	with	with	ADP
cuesj-522	153	24	a	a	DET
cuesj-522	153	25	mape	mape	NOUN
cuesj-522	153	26	ideal	ideal	ADJ
cuesj-522	153	27	value	value	NOUN
cuesj-522	153	28	of	of	ADP
cuesj-522	153	29	9.23616	9.23616	NUM
cuesj-522	153	30	%	%	NOUN
cuesj-522	153	31	.	.	PUNCT
cuesj-522	154	1	then	then	ADV
cuesj-522	154	2	,	,	PUNCT
cuesj-522	154	3	holt	holt	PROPN
cuesj-522	154	4	’s	’s	PART
cuesj-522	154	5	technique	technique	NOUN
cuesj-522	154	6	could	could	AUX
cuesj-522	154	7	be	be	AUX
cuesj-522	154	8	considered	consider	VERB
cuesj-522	154	9	to	to	PART
cuesj-522	154	10	be	be	AUX
cuesj-522	154	11	the	the	DET
cuesj-522	154	12	most	most	ADV
cuesj-522	154	13	suited	suited	ADJ
cuesj-522	154	14	way	way	NOUN
cuesj-522	154	15	for	for	SCONJ
cuesj-522	154	16	forecasting	forecasting	NOUN
cuesj-522	154	17	generation	generation	NOUN
cuesj-522	154	18	electrical	electrical	ADJ
cuesj-522	154	19	energies	energy	NOUN
cuesj-522	154	20	data	datum	NOUN
cuesj-522	154	21	since	since	SCONJ
cuesj-522	154	22	the	the	DET
cuesj-522	154	23	value	value	NOUN
cuesj-522	154	24	of	of	ADP
cuesj-522	154	25	mape	mape	NOUN
cuesj-522	154	26	in	in	ADP
cuesj-522	154	27	des	des	PROPN
cuesj-522	154	28	holt	holt	PROPN
cuesj-522	154	29	’s	’s	PART
cuesj-522	154	30	method	method	NOUN
cuesj-522	154	31	was	be	AUX
cuesj-522	154	32	less	less	ADJ
cuesj-522	154	33	than	than	ADP
cuesj-522	154	34	the	the	DET
cuesj-522	154	35	value	value	NOUN
cuesj-522	154	36	of	of	ADP
cuesj-522	154	37	mape	mape	NOUN
cuesj-522	154	38	in	in	ADP
cuesj-522	154	39	the	the	DET
cuesj-522	154	40	des	des	PROPN
cuesj-522	154	41	brown	brown	PROPN
cuesj-522	154	42	’s	’s	PART
cuesj-522	154	43	method	method	NOUN
cuesj-522	154	44	.	.	PUNCT
cuesj-522	155	1	mape	mape	NOUN
cuesj-522	155	2	(	(	PUNCT
cuesj-522	155	3	des	des	X
cuesj-522	155	4	brown	brown	PROPN
cuesj-522	155	5	method	method	NOUN
cuesj-522	155	6	)	)	PUNCT
cuesj-522	156	1	=	=	NOUN
cuesj-522	156	2	9.23616	9.23616	NUM
cuesj-522	156	3	%	%	NOUN
cuesj-522	156	4	>	>	SYM
cuesj-522	156	5	mape	mape	NOUN
cuesj-522	156	6	(	(	PUNCT
cuesj-522	156	7	des	des	PROPN
cuesj-522	156	8	holt	holt	PROPN
cuesj-522	156	9	’s	’s	PART
cuesj-522	156	10	method	method	NOUN
cuesj-522	156	11	)	)	PUNCT
cuesj-522	157	1	=	=	SYM
cuesj-522	157	2	8.08586	8.08586	NUM
cuesj-522	157	3	%	%	NOUN
cuesj-522	157	4	conclusion	conclusion	NOUN
cuesj-522	157	5	and	and	CCONJ
cuesj-522	157	6	recommendation	recommendation	VERB
cuesj-522	157	7	the	the	DET
cuesj-522	157	8	contrast	contrast	NOUN
cuesj-522	157	9	among	among	ADP
cuesj-522	157	10	brown	brown	PROPN
cuesj-522	157	11	’s	’s	PART
cuesj-522	157	12	and	and	CCONJ
cuesj-522	157	13	holt	holt	PROPN
cuesj-522	157	14	’s	’s	PART
cuesj-522	157	15	des	des	PROPN
cuesj-522	157	16	could	could	AUX
cuesj-522	157	17	be	be	AUX
cuesj-522	157	18	established	establish	VERB
cuesj-522	157	19	depending	depend	VERB
cuesj-522	157	20	on	on	ADP
cuesj-522	157	21	the	the	DET
cuesj-522	157	22	criterion	criterion	NOUN
cuesj-522	157	23	of	of	ADP
cuesj-522	157	24	mape	mape	NOUN
cuesj-522	157	25	for	for	ADP
cuesj-522	157	26	omer	omer	PROPN
cuesj-522	157	27	,	,	PUNCT
cuesj-522	157	28	et	et	PROPN
cuesj-522	157	29	al	al	PROPN
cuesj-522	157	30	.	.	PROPN
cuesj-522	157	31	:	:	PUNCT
cuesj-522	158	1	brown	brown	PROPN
cuesj-522	158	2	’s	’s	PART
cuesj-522	158	3	and	and	CCONJ
cuesj-522	158	4	holt	holt	PROPN
cuesj-522	158	5	’s	’s	PART
cuesj-522	158	6	double	double	ADJ
cuesj-522	158	7	exponential	exponential	NOUN
cuesj-522	158	8	smoothing	smooth	VERB
cuesj-522	158	9	63	63	NUM
cuesj-522	158	10	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-522	158	11	cuesj	cuesj	ADJ
cuesj-522	158	12	2021	2021	NUM
cuesj-522	158	13	,	,	PUNCT
cuesj-522	158	14	5	5	NUM
cuesj-522	158	15	(	(	PUNCT
cuesj-522	158	16	2	2	NUM
cuesj-522	158	17	):	):	PUNCT
cuesj-522	158	18	56	56	NUM
cuesj-522	158	19	-	-	SYM
cuesj-522	158	20	63	63	NUM
cuesj-522	158	21	determining	determine	VERB
cuesj-522	158	22	the	the	DET
cuesj-522	158	23	optimum	optimum	ADJ
cuesj-522	158	24	data	datum	NOUN
cuesj-522	158	25	technique	technique	NOUN
cuesj-522	158	26	.	.	PUNCT
cuesj-522	159	1	with	with	ADP
cuesj-522	159	2	using	use	VERB
cuesj-522	159	3	mape	mape	NOUN
cuesj-522	159	4	as	as	ADP
cuesj-522	159	5	performance	performance	NOUN
cuesj-522	159	6	measurements	measurement	NOUN
cuesj-522	159	7	,	,	PUNCT
cuesj-522	159	8	we	we	PRON
cuesj-522	159	9	concluded	conclude	VERB
cuesj-522	159	10	that	that	SCONJ
cuesj-522	159	11	the	the	DET
cuesj-522	159	12	holt	holt	PROPN
cuesj-522	159	13	’s	’s	PART
cuesj-522	159	14	des	des	PROPN
cuesj-522	159	15	technique	technique	NOUN
cuesj-522	159	16	is	be	AUX
cuesj-522	159	17	the	the	DET
cuesj-522	159	18	ideal	ideal	ADJ
cuesj-522	159	19	technique	technique	NOUN
cuesj-522	159	20	since	since	SCONJ
cuesj-522	159	21	the	the	DET
cuesj-522	159	22	values	value	NOUN
cuesj-522	159	23	of	of	ADP
cuesj-522	159	24	mape	mape	NOUN
cuesj-522	159	25	in	in	ADP
cuesj-522	159	26	the	the	DET
cuesj-522	159	27	holt	holt	PROPN
cuesj-522	159	28	’s	’s	PART
cuesj-522	159	29	des	des	PROPN
cuesj-522	159	30	would	would	AUX
cuesj-522	159	31	be	be	AUX
cuesj-522	159	32	less	less	ADJ
cuesj-522	159	33	than	than	ADP
cuesj-522	159	34	the	the	DET
cuesj-522	159	35	values	value	NOUN
cuesj-522	159	36	of	of	ADP
cuesj-522	159	37	mape	mape	NOUN
cuesj-522	159	38	in	in	ADP
cuesj-522	159	39	the	the	DET
cuesj-522	159	40	brown	brown	PROPN
cuesj-522	159	41	’s	’s	PART
cuesj-522	159	42	des	des	PROPN
cuesj-522	159	43	.	.	PROPN
cuesj-522	159	44	furthermore	furthermore	ADV
cuesj-522	159	45	,	,	PUNCT
cuesj-522	159	46	depending	depend	VERB
cuesj-522	159	47	on	on	ADP
cuesj-522	159	48	the	the	DET
cuesj-522	159	49	optimization	optimization	NOUN
cuesj-522	159	50	has	have	AUX
cuesj-522	159	51	been	be	AUX
cuesj-522	159	52	done	do	VERB
cuesj-522	159	53	α	α	PRON
cuesj-522	159	54	and	and	CCONJ
cuesj-522	159	55	β	β	X
cuesj-522	159	56	the	the	DET
cuesj-522	159	57	optimal	optimal	ADJ
cuesj-522	159	58	values	value	NOUN
cuesj-522	159	59	achieved	achieve	VERB
cuesj-522	159	60	for	for	ADP
cuesj-522	159	61	des	des	PROPN
cuesj-522	159	62	holt	holt	PROPN
cuesj-522	159	63	’s	’s	PART
cuesj-522	159	64	are	be	AUX
cuesj-522	159	65	(	(	PUNCT
cuesj-522	159	66	optimal	optimal	ADJ
cuesj-522	159	67	values	value	NOUN
cuesj-522	159	68	of	of	ADP
cuesj-522	159	69	α	α	NOUN
cuesj-522	159	70	=	=	NOUN
cuesj-522	159	71	0.95	0.95	NUM
cuesj-522	159	72	and	and	CCONJ
cuesj-522	159	73	β	β	PRON
cuesj-522	159	74	optimal	optimal	ADJ
cuesj-522	159	75	value	value	NOUN
cuesj-522	159	76	of	of	ADP
cuesj-522	159	77	0.05	0.05	NUM
cuesj-522	159	78	)	)	PUNCT
cuesj-522	159	79	having	have	VERB
cuesj-522	159	80	mape	mape	NOUN
cuesj-522	159	81	optimal	optimal	ADJ
cuesj-522	159	82	value	value	NOUN
cuesj-522	159	83	of	of	ADP
cuesj-522	159	84	8.08586	8.08586	NUM
cuesj-522	159	85	%	%	NOUN
cuesj-522	159	86	,	,	PUNCT
cuesj-522	159	87	as	as	ADV
cuesj-522	159	88	well	well	ADV
cuesj-522	159	89	as	as	ADP
cuesj-522	159	90	for	for	ADP
cuesj-522	159	91	des	des	PROPN
cuesj-522	159	92	brown	brown	PROPN
cuesj-522	159	93	’s	’s	PART
cuesj-522	159	94	is	be	AUX
cuesj-522	159	95	(	(	PUNCT
cuesj-522	159	96	optimum	optimum	ADJ
cuesj-522	159	97	value	value	NOUN
cuesj-522	159	98	of	of	ADP
cuesj-522	159	99	α	α	NOUN
cuesj-522	159	100	=	=	NOUN
cuesj-522	159	101	0.22	0.22	NUM
cuesj-522	159	102	via	via	ADP
cuesj-522	159	103	mape	mape	NOUN
cuesj-522	159	104	optimal	optimal	ADJ
cuesj-522	159	105	value	value	NOUN
cuesj-522	159	106	of	of	ADP
cuesj-522	159	107	9.23616	9.23616	NUM
cuesj-522	159	108	%	%	NOUN
cuesj-522	159	109	)	)	PUNCT
cuesj-522	159	110	.	.	PUNCT
cuesj-522	160	1	a	a	DET
cuesj-522	160	2	mape	mape	NOUN
cuesj-522	160	3	of	of	ADP
cuesj-522	160	4	the	the	DET
cuesj-522	160	5	des	des	PROPN
cuesj-522	160	6	holt	holt	PROPN
cuesj-522	160	7	’s	’s	PART
cuesj-522	160	8	approach	approach	NOUN
cuesj-522	160	9	was	be	AUX
cuesj-522	160	10	lower	low	ADJ
cuesj-522	160	11	than	than	ADP
cuesj-522	160	12	that	that	PRON
cuesj-522	160	13	of	of	ADP
cuesj-522	160	14	mape	mape	PROPN
cuesj-522	160	15	des	des	PROPN
cuesj-522	160	16	brown	brown	PROPN
cuesj-522	160	17	’s	’s	PART
cuesj-522	160	18	technique	technique	NOUN
cuesj-522	160	19	.	.	PUNCT
cuesj-522	161	1	future	future	ADJ
cuesj-522	161	2	research	research	NOUN
cuesj-522	161	3	are	be	AUX
cuesj-522	161	4	planned	plan	VERB
cuesj-522	161	5	to	to	PART
cuesj-522	161	6	optimize	optimize	VERB
cuesj-522	161	7	the	the	DET
cuesj-522	161	8	parameters	parameter	NOUN
cuesj-522	161	9	utilizing	utilize	VERB
cuesj-522	161	10	various	various	ADJ
cuesj-522	161	11	non	non	ADJ
cuesj-522	161	12	-	-	ADJ
cuesj-522	161	13	linear	linear	ADJ
cuesj-522	161	14	programming	programming	NOUN
cuesj-522	161	15	approaches	approach	NOUN
cuesj-522	161	16	or	or	CCONJ
cuesj-522	161	17	to	to	PART
cuesj-522	161	18	optimize	optimize	VERB
cuesj-522	161	19	by	by	ADP
cuesj-522	161	20	making	make	VERB
cuesj-522	161	21	changes	change	NOUN
cuesj-522	161	22	to	to	ADP
cuesj-522	161	23	the	the	DET
cuesj-522	161	24	initialization	initialization	NOUN
cuesj-522	161	25	method	method	NOUN
cuesj-522	161	26	prediction	prediction	NOUN
cuesj-522	161	27	:	:	PUNCT
cuesj-522	162	1	forecasting	forecasting	NOUN
cuesj-522	162	2	using	use	VERB
cuesj-522	162	3	optimum	optimum	ADJ
cuesj-522	162	4	parameter	parameter	NOUN
cuesj-522	162	5	for	for	ADP
cuesj-522	162	6	the	the	DET
cuesj-522	162	7	des	des	X
cuesj-522	162	8	brown	brown	PROPN
cuesj-522	162	9	and	and	CCONJ
cuesj-522	162	10	des	des	PROPN
cuesj-522	162	11	holt	holt	PROPN
cuesj-522	162	12	methods	method	NOUN
cuesj-522	162	13	this	this	DET
cuesj-522	162	14	table	table	NOUN
cuesj-522	162	15	10	10	NUM
cuesj-522	162	16	illustrates	illustrate	VERB
cuesj-522	162	17	the	the	DET
cuesj-522	162	18	expected	expect	VERB
cuesj-522	162	19	values	value	NOUN
cuesj-522	162	20	for	for	ADP
cuesj-522	162	21	the	the	DET
cuesj-522	162	22	generation	generation	NOUN
cuesj-522	162	23	electrical	electrical	ADJ
cuesj-522	162	24	energies	energy	NOUN
cuesj-522	162	25	.	.	PUNCT
cuesj-522	163	1	throughout	throughout	ADP
cuesj-522	163	2	the	the	DET
cuesj-522	163	3	period	period	NOUN
cuesj-522	163	4	while	while	SCONJ
cuesj-522	163	5	true	true	ADJ
cuesj-522	163	6	data	datum	NOUN
cuesj-522	163	7	is	be	AUX
cuesj-522	163	8	obtainable	obtainable	ADJ
cuesj-522	163	9	;	;	PUNCT
cuesj-522	163	10	this	this	PRON
cuesj-522	163	11	also	also	ADV
cuesj-522	163	12	shows	show	VERB
cuesj-522	163	13	the	the	DET
cuesj-522	163	14	forecasted	forecast	VERB
cuesj-522	163	15	values	value	NOUN
cuesj-522	163	16	from	from	ADP
cuesj-522	163	17	either	either	CCONJ
cuesj-522	163	18	the	the	DET
cuesj-522	163	19	fitting	fitting	ADJ
cuesj-522	163	20	model	model	NOUN
cuesj-522	163	21	as	as	ADV
cuesj-522	163	22	well	well	ADV
cuesj-522	163	23	as	as	ADP
cuesj-522	163	24	the	the	DET
cuesj-522	163	25	residuals	residual	NOUN
cuesj-522	163	26	(	(	PUNCT
cuesj-522	163	27	dataforecast	dataforecast	NOUN
cuesj-522	163	28	)	)	PUNCT
cuesj-522	163	29	.	.	PUNCT
cuesj-522	164	1	it	it	PRON
cuesj-522	164	2	indicates	indicate	VERB
cuesj-522	164	3	95.0	95.0	NUM
cuesj-522	164	4	%	%	NOUN
cuesj-522	164	5	forecast	forecast	NOUN
cuesj-522	164	6	limits	limit	NOUN
cuesj-522	164	7	for	for	ADP
cuesj-522	164	8	predictions	prediction	NOUN
cuesj-522	164	9	for	for	ADP
cuesj-522	164	10	time	time	NOUN
cuesj-522	164	11	period	period	NOUN
cuesj-522	164	12	beyond	beyond	ADP
cuesj-522	164	13	the	the	DET
cuesj-522	164	14	ending	ending	NOUN
cuesj-522	164	15	of	of	ADP
cuesj-522	164	16	a	a	DET
cuesj-522	164	17	series	series	NOUN
cuesj-522	164	18	.	.	PUNCT
cuesj-522	165	1	those	those	DET
cuesj-522	165	2	limits	limit	NOUN
cuesj-522	165	3	represent	represent	VERB
cuesj-522	165	4	where	where	SCONJ
cuesj-522	165	5	a	a	DET
cuesj-522	165	6	actual	actual	ADJ
cuesj-522	165	7	data	data	NOUN
cuesj-522	165	8	values	value	NOUN
cuesj-522	165	9	at	at	ADP
cuesj-522	165	10	the	the	DET
cuesj-522	165	11	chosen	choose	VERB
cuesj-522	165	12	future	future	ADJ
cuesj-522	165	13	time	time	NOUN
cuesj-522	165	14	was	be	AUX
cuesj-522	165	15	expected	expect	VERB
cuesj-522	165	16	to	to	PART
cuesj-522	165	17	be	be	AUX
cuesj-522	165	18	through	through	ADP
cuesj-522	165	19	95.0	95.0	NUM
cuesj-522	165	20	%	%	NOUN
cuesj-522	165	21	confidence	confidence	NOUN
cuesj-522	165	22	,	,	PUNCT
cuesj-522	165	23	providing	provide	VERB
cuesj-522	165	24	the	the	DET
cuesj-522	165	25	fitted	fit	VERB
cuesj-522	165	26	model	model	NOUN
cuesj-522	165	27	is	be	AUX
cuesj-522	165	28	adequate	adequate	ADJ
cuesj-522	165	29	for	for	ADP
cuesj-522	165	30	the	the	DET
cuesj-522	165	31	data	datum	NOUN
cuesj-522	165	32	.	.	PUNCT
cuesj-522	166	1	you	you	PRON
cuesj-522	166	2	could	could	AUX
cuesj-522	166	3	plot	plot	VERB
cuesj-522	166	4	the	the	DET
cuesj-522	166	5	predictions	prediction	NOUN
cuesj-522	166	6	by	by	ADP
cuesj-522	166	7	choosing	choose	VERB
cuesj-522	166	8	prediction	prediction	NOUN
cuesj-522	166	9	plot	plot	NOUN
cuesj-522	166	10	from	from	ADP
cuesj-522	166	11	the	the	DET
cuesj-522	166	12	listing	listing	NOUN
cuesj-522	166	13	of	of	ADP
cuesj-522	166	14	graphical	graphical	ADJ
cuesj-522	166	15	choices	choice	NOUN
cuesj-522	166	16	.	.	PUNCT
cuesj-522	167	1	you	you	PRON
cuesj-522	167	2	could	could	AUX
cuesj-522	167	3	modify	modify	VERB
cuesj-522	167	4	the	the	DET
cuesj-522	167	5	level	level	NOUN
cuesj-522	167	6	of	of	ADP
cuesj-522	167	7	confidence	confidence	NOUN
cuesj-522	167	8	when	when	SCONJ
cuesj-522	167	9	reviewing	review	VERB
cuesj-522	167	10	the	the	DET
cuesj-522	167	11	plot	plot	NOUN
cuesj-522	167	12	using	use	VERB
cuesj-522	167	13	the	the	DET
cuesj-522	167	14	alternative	alternative	ADJ
cuesj-522	167	15	mouse	mouse	NOUN
cuesj-522	167	16	button	button	NOUN
cuesj-522	167	17	as	as	ADV
cuesj-522	167	18	well	well	ADV
cuesj-522	167	19	as	as	ADP
cuesj-522	167	20	selecting	select	VERB
cuesj-522	167	21	pane	pane	NOUN
cuesj-522	167	22	options	option	NOUN
cuesj-522	167	23	.	.	PUNCT
cuesj-522	168	1	choose	choose	VERB
cuesj-522	168	2	model	model	NOUN
cuesj-522	168	3	comparisons	comparison	NOUN
cuesj-522	168	4	from	from	ADP
cuesj-522	168	5	of	of	ADP
cuesj-522	168	6	the	the	DET
cuesj-522	168	7	list	list	NOUN
cuesj-522	168	8	of	of	ADP
cuesj-522	168	9	tabular	tabular	ADJ
cuesj-522	168	10	options	option	NOUN
cuesj-522	168	11	to	to	PART
cuesj-522	168	12	evaluate	evaluate	VERB
cuesj-522	168	13	if	if	SCONJ
cuesj-522	168	14	the	the	DET
cuesj-522	168	15	model	model	NOUN
cuesj-522	168	16	appropriately	appropriately	ADV
cuesj-522	168	17	matches	match	VERB
cuesj-522	168	18	the	the	DET
cuesj-522	168	19	data	datum	NOUN
cuesj-522	168	20	.	.	PUNCT
cuesj-522	169	1	that	that	DET
cuesj-522	169	2	table	table	NOUN
cuesj-522	169	3	illustrates	illustrate	VERB
cuesj-522	169	4	the	the	DET
cuesj-522	169	5	predicted	predict	VERB
cuesj-522	169	6	values	value	NOUN
cuesj-522	169	7	for	for	ADP
cuesj-522	169	8	the	the	DET
cuesj-522	169	9	generation	generation	NOUN
cuesj-522	169	10	electrical	electrical	ADJ
cuesj-522	169	11	energies	energy	NOUN
cuesj-522	169	12	.	.	PUNCT
cuesj-522	170	1	throughout	throughout	ADP
cuesj-522	170	2	the	the	DET
cuesj-522	170	3	period	period	NOUN
cuesj-522	170	4	when	when	SCONJ
cuesj-522	170	5	real	real	ADJ
cuesj-522	170	6	data	datum	NOUN
cuesj-522	170	7	are	be	AUX
cuesj-522	170	8	obtainable	obtainable	ADJ
cuesj-522	170	9	,	,	PUNCT
cuesj-522	170	10	this	this	PRON
cuesj-522	170	11	also	also	ADV
cuesj-522	170	12	shows	show	VERB
cuesj-522	170	13	the	the	DET
cuesj-522	170	14	projected	project	VERB
cuesj-522	170	15	value	value	NOUN
cuesj-522	170	16	from	from	ADP
cuesj-522	170	17	of	of	ADP
cuesj-522	170	18	the	the	DET
cuesj-522	170	19	fitted	fit	VERB
cuesj-522	170	20	models	model	NOUN
cuesj-522	170	21	as	as	ADV
cuesj-522	170	22	well	well	ADV
cuesj-522	170	23	as	as	ADP
cuesj-522	170	24	the	the	DET
cuesj-522	170	25	residuals	residual	NOUN
cuesj-522	170	26	(	(	PUNCT
cuesj-522	170	27	data	data	NOUN
cuesj-522	170	28	-	-	PUNCT
cuesj-522	170	29	forecast	forecast	NOUN
cuesj-522	170	30	)	)	PUNCT
cuesj-522	170	31	.	.	PUNCT
cuesj-522	171	1	it	it	PRON
cuesj-522	171	2	indicates	indicate	VERB
cuesj-522	171	3	95.0	95.0	NUM
cuesj-522	171	4	%	%	NOUN
cuesj-522	171	5	forecast	forecast	NOUN
cuesj-522	171	6	limits	limit	NOUN
cuesj-522	171	7	for	for	ADP
cuesj-522	171	8	predictions	prediction	NOUN
cuesj-522	171	9	for	for	ADP
cuesj-522	171	10	periods	period	NOUN
cuesj-522	171	11	of	of	ADP
cuesj-522	171	12	time	time	NOUN
cuesj-522	171	13	well	well	ADV
cuesj-522	171	14	beyond	beyond	ADP
cuesj-522	171	15	ending	ending	NOUN
cuesj-522	171	16	of	of	ADP
cuesj-522	171	17	the	the	DET
cuesj-522	171	18	series	series	NOUN
cuesj-522	171	19	.	.	PUNCT
cuesj-522	172	1	these	these	DET
cuesj-522	172	2	limits	limit	NOUN
cuesj-522	172	3	represent	represent	VERB
cuesj-522	172	4	where	where	SCONJ
cuesj-522	172	5	the	the	DET
cuesj-522	172	6	real	real	ADJ
cuesj-522	172	7	data	datum	NOUN
cuesj-522	172	8	value	value	NOUN
cuesj-522	172	9	is	be	AUX
cuesj-522	172	10	expected	expect	VERB
cuesj-522	172	11	to	to	PART
cuesj-522	172	12	be	be	AUX
cuesj-522	172	13	through	through	ADP
cuesj-522	172	14	95.0	95.0	NUM
cuesj-522	172	15	%	%	NOUN
cuesj-522	172	16	confidence	confidence	NOUN
cuesj-522	172	17	at	at	ADP
cuesj-522	172	18	a	a	DET
cuesj-522	172	19	given	give	VERB
cuesj-522	172	20	future	future	ADJ
cuesj-522	172	21	time	time	NOUN
cuesj-522	172	22	,	,	PUNCT
cuesj-522	172	23	providing	provide	VERB
cuesj-522	172	24	the	the	DET
cuesj-522	172	25	fitted	fit	VERB
cuesj-522	172	26	model	model	NOUN
cuesj-522	172	27	was	be	AUX
cuesj-522	172	28	adequate	adequate	ADJ
cuesj-522	172	29	for	for	ADP
cuesj-522	172	30	the	the	DET
cuesj-522	172	31	data	datum	NOUN
cuesj-522	172	32	.	.	PUNCT
cuesj-522	173	1	you	you	PRON
cuesj-522	173	2	could	could	AUX
cuesj-522	173	3	plot	plot	VERB
cuesj-522	173	4	the	the	DET
cuesj-522	173	5	predictions	prediction	NOUN
cuesj-522	173	6	by	by	ADP
cuesj-522	173	7	choosing	choose	VERB
cuesj-522	173	8	prediction	prediction	NOUN
cuesj-522	173	9	plot	plot	NOUN
cuesj-522	173	10	from	from	ADP
cuesj-522	173	11	of	of	ADP
cuesj-522	173	12	the	the	DET
cuesj-522	173	13	list	list	NOUN
cuesj-522	173	14	of	of	ADP
cuesj-522	173	15	graphical	graphical	ADJ
cuesj-522	173	16	choices	choice	NOUN
cuesj-522	173	17	.	.	PUNCT
cuesj-522	174	1	you	you	PRON
cuesj-522	174	2	could	could	AUX
cuesj-522	174	3	modify	modify	VERB
cuesj-522	174	4	the	the	DET
cuesj-522	174	5	level	level	NOUN
cuesj-522	174	6	of	of	ADP
cuesj-522	174	7	confidence	confidence	NOUN
cuesj-522	174	8	when	when	SCONJ
cuesj-522	174	9	examining	examine	VERB
cuesj-522	174	10	the	the	DET
cuesj-522	174	11	plot	plot	NOUN
cuesj-522	174	12	by	by	ADP
cuesj-522	174	13	using	use	VERB
cuesj-522	174	14	the	the	DET
cuesj-522	174	15	alternative	alternative	ADJ
cuesj-522	174	16	mouse	mouse	NOUN
cuesj-522	174	17	button	button	NOUN
cuesj-522	174	18	as	as	ADV
cuesj-522	174	19	well	well	ADV
cuesj-522	174	20	as	as	ADP
cuesj-522	174	21	selecting	select	VERB
cuesj-522	174	22	pane	pane	NOUN
cuesj-522	174	23	options	option	NOUN
cuesj-522	174	24	.	.	PUNCT
cuesj-522	175	1	choose	choose	VERB
cuesj-522	175	2	model	model	NOUN
cuesj-522	175	3	comparisons	comparison	NOUN
cuesj-522	175	4	from	from	ADP
cuesj-522	175	5	of	of	ADP
cuesj-522	175	6	the	the	DET
cuesj-522	175	7	listing	listing	NOUN
cuesj-522	175	8	of	of	ADP
cuesj-522	175	9	tabular	tabular	ADJ
cuesj-522	175	10	options	option	NOUN
cuesj-522	175	11	to	to	PART
cuesj-522	175	12	see	see	VERB
cuesj-522	175	13	if	if	SCONJ
cuesj-522	175	14	the	the	DET
cuesj-522	175	15	model	model	NOUN
cuesj-522	175	16	matches	match	VERB
cuesj-522	175	17	the	the	DET
cuesj-522	175	18	data	datum	NOUN
cuesj-522	175	19	well	well	ADV
cuesj-522	175	20	.	.	PUNCT
cuesj-522	176	1	references	reference	NOUN
cuesj-522	176	2	1	1	NUM
cuesj-522	176	3	.	.	PUNCT
cuesj-522	177	1	p.	p.	NOUN
cuesj-522	177	2	a.	a.	PROPN
cuesj-522	177	3	s.	s.	PROPN
cuesj-522	177	4	dharmawan	dharmawan	PROPN
cuesj-522	177	5	,	,	PUNCT
cuesj-522	177	6	and	and	CCONJ
cuesj-522	177	7	i.	i.	PROPN
cuesj-522	177	8	g.	g.	PROPN
cuesj-522	177	9	a.	a.	PROPN
cuesj-522	177	10	indradewi	indradewi	PROPN
cuesj-522	177	11	.	.	PUNCT
cuesj-522	178	1	double	double	ADJ
cuesj-522	178	2	exponential	exponential	ADJ
cuesj-522	178	3	smoothing	smooth	VERB
cuesj-522	178	4	brown	brown	ADJ
cuesj-522	178	5	method	method	NOUN
cuesj-522	178	6	towards	towards	ADP
cuesj-522	178	7	sales	sale	NOUN
cuesj-522	178	8	forecasting	forecasting	NOUN
cuesj-522	178	9	system	system	NOUN
cuesj-522	178	10	with	with	ADP
cuesj-522	178	11	a	a	DET
cuesj-522	178	12	linear	linear	ADJ
cuesj-522	178	13	and	and	CCONJ
cuesj-522	178	14	non	non	ADJ
cuesj-522	178	15	-	-	ADJ
cuesj-522	178	16	stationary	stationary	ADJ
cuesj-522	178	17	data	datum	NOUN
cuesj-522	178	18	trend	trend	NOUN
cuesj-522	178	19	.	.	PUNCT
cuesj-522	179	1	journal	journal	PROPN
cuesj-522	179	2	of	of	ADP
cuesj-522	179	3	physics	physics	PROPN
cuesj-522	179	4	:	:	PUNCT
cuesj-522	179	5	conference	conference	NOUN
cuesj-522	179	6	series	series	NOUN
cuesj-522	179	7	,	,	PUNCT
cuesj-522	179	8	vol	vol	NOUN
cuesj-522	179	9	.	.	PUNCT
cuesj-522	179	10	1810	1810	NUM
cuesj-522	179	11	,	,	PUNCT
cuesj-522	179	12	no	no	INTJ
cuesj-522	179	13	.	.	NOUN
cuesj-522	179	14	1	1	NUM
cuesj-522	179	15	,	,	PUNCT
cuesj-522	179	16	p.	p.	NOUN
cuesj-522	179	17	012026	012026	NUM
cuesj-522	179	18	,	,	PUNCT
cuesj-522	179	19	2021	2021	NUM
cuesj-522	179	20	.	.	PUNCT
cuesj-522	180	1	2	2	X
cuesj-522	180	2	.	.	X
cuesj-522	180	3	m.	m.	PROPN
cuesj-522	180	4	b.	b.	PROPN
cuesj-522	180	5	hasan	hasan	PROPN
cuesj-522	180	6	,	,	PUNCT
cuesj-522	180	7	and	and	CCONJ
cuesj-522	180	8	m.	m.	PROPN
cuesj-522	180	9	n.	n.	PROPN
cuesj-522	180	10	dhali	dhali	PROPN
cuesj-522	180	11	.	.	PUNCT
cuesj-522	181	1	determination	determination	NOUN
cuesj-522	181	2	of	of	ADP
cuesj-522	181	3	optimal	optimal	ADJ
cuesj-522	181	4	smoothing	smoothing	NOUN
cuesj-522	181	5	constants	constant	NOUN
cuesj-522	181	6	for	for	ADP
cuesj-522	181	7	exponential	exponential	ADJ
cuesj-522	181	8	smoothing	smoothing	NOUN
cuesj-522	181	9	method	method	NOUN
cuesj-522	181	10	and	and	CCONJ
cuesj-522	181	11	holt	holt	PROPN
cuesj-522	181	12	’s	’s	PART
cuesj-522	181	13	method	method	NOUN
cuesj-522	181	14	.	.	PUNCT
cuesj-522	182	1	dhaka	dhaka	PROPN
cuesj-522	182	2	university	university	PROPN
cuesj-522	182	3	journal	journal	PROPN
cuesj-522	182	4	of	of	ADP
cuesj-522	182	5	science	science	NOUN
cuesj-522	182	6	,	,	PUNCT
cuesj-522	182	7	vol	vol	NOUN
cuesj-522	182	8	.	.	PROPN
cuesj-522	182	9	65	65	NUM
cuesj-522	182	10	,	,	PUNCT
cuesj-522	182	11	no	no	INTJ
cuesj-522	182	12	.	.	NOUN
cuesj-522	182	13	1	1	NUM
cuesj-522	182	14	,	,	PUNCT
cuesj-522	182	15	pp	pp	ADJ
cuesj-522	182	16	.	.	PUNCT
cuesj-522	183	1	55	55	NUM
cuesj-522	183	2	-	-	SYM
cuesj-522	183	3	59	59	NUM
cuesj-522	183	4	,	,	PUNCT
cuesj-522	183	5	2017	2017	NUM
cuesj-522	183	6	.	.	PUNCT
cuesj-522	184	1	3	3	X
cuesj-522	184	2	.	.	PUNCT
cuesj-522	184	3	f.	f.	PROPN
cuesj-522	184	4	sidqi	sidqi	PROPN
cuesj-522	184	5	,	,	PUNCT
cuesj-522	184	6	and	and	CCONJ
cuesj-522	184	7	i.	i.	PROPN
cuesj-522	184	8	d.	d.	PROPN
cuesj-522	184	9	sumitra	sumitra	PROPN
cuesj-522	184	10	.	.	PUNCT
cuesj-522	185	1	forecasting	forecasting	NOUN
cuesj-522	185	2	product	product	NOUN
cuesj-522	185	3	selling	sell	VERB
cuesj-522	185	4	using	use	VERB
cuesj-522	185	5	single	single	ADJ
cuesj-522	185	6	exponential	exponential	ADJ
cuesj-522	185	7	smoothing	smoothing	NOUN
cuesj-522	185	8	and	and	CCONJ
cuesj-522	185	9	double	double	ADJ
cuesj-522	185	10	exponential	exponential	ADJ
cuesj-522	185	11	smoothing	smoothing	NOUN
cuesj-522	185	12	methods	method	NOUN
cuesj-522	185	13	.	.	PUNCT
cuesj-522	186	1	iop	iop	PROPN
cuesj-522	186	2	conference	conference	PROPN
cuesj-522	186	3	series	series	PROPN
cuesj-522	186	4	:	:	PUNCT
cuesj-522	186	5	materials	material	NOUN
cuesj-522	186	6	science	science	NOUN
cuesj-522	186	7	and	and	CCONJ
cuesj-522	186	8	engineering	engineering	NOUN
cuesj-522	186	9	,	,	PUNCT
cuesj-522	186	10	vol	vol	NOUN
cuesj-522	186	11	.	.	PROPN
cuesj-522	186	12	662	662	NUM
cuesj-522	186	13	,	,	PUNCT
cuesj-522	186	14	p.	p.	NOUN
cuesj-522	186	15	032031	032031	NUM
cuesj-522	186	16	,	,	PUNCT
cuesj-522	186	17	2019	2019	NUM
cuesj-522	186	18	.	.	PUNCT
cuesj-522	187	1	4	4	X
cuesj-522	187	2	.	.	X
cuesj-522	187	3	w.	w.	PROPN
cuesj-522	187	4	anggraeni	anggraeni	PROPN
cuesj-522	187	5	.	.	PUNCT
cuesj-522	188	1	perbandingan	perbandingan	PROPN
cuesj-522	188	2	metode	metode	PROPN
cuesj-522	188	3	fuzzy	fuzzy	ADJ
cuesj-522	188	4	time	time	PROPN
cuesj-522	188	5	series	series	PROPN
cuesj-522	188	6	hsu	hsu	PROPN
cuesj-522	188	7	dan	dan	PROPN
cuesj-522	188	8	double	double	PROPN
cuesj-522	188	9	exponential	exponential	NOUN
cuesj-522	188	10	smoothing	smooth	VERB
cuesj-522	188	11	pada	pada	PROPN
cuesj-522	188	12	peramalan	peramalan	PROPN
cuesj-522	188	13	nilai	nilai	PROPN
cuesj-522	188	14	tukar	tukar	PROPN
cuesj-522	188	15	rupiah	rupiah	PROPN
cuesj-522	188	16	terhadap	terhadap	PROPN
cuesj-522	188	17	dolar	dolar	PROPN
cuesj-522	188	18	amerika	amerika	PROPN
cuesj-522	188	19	.	.	PUNCT
cuesj-522	189	1	jurnal	jurnal	ADJ
cuesj-522	189	2	riset	riset	PROPN
cuesj-522	189	3	manajemen	manajeman	NOUN
cuesj-522	189	4	dan	dan	PROPN
cuesj-522	189	5	bisnis	bisnis	PROPN
cuesj-522	189	6	(	(	PUNCT
cuesj-522	189	7	jrmb	jrmb	NOUN
cuesj-522	189	8	)	)	PUNCT
cuesj-522	189	9	fakultas	fakulta	VERB
cuesj-522	189	10	ekonomi	ekonomi	PROPN
cuesj-522	189	11	uniat	uniat	PROPN
cuesj-522	189	12	,	,	PUNCT
cuesj-522	189	13	vol	vol	NOUN
cuesj-522	189	14	.	.	PROPN
cuesj-522	189	15	1	1	NUM
cuesj-522	189	16	,	,	PUNCT
cuesj-522	189	17	no	no	INTJ
cuesj-522	189	18	.	.	NOUN
cuesj-522	189	19	2	2	NUM
cuesj-522	189	20	,	,	PUNCT
cuesj-522	189	21	pp	pp	ADJ
cuesj-522	189	22	.	.	PUNCT
cuesj-522	190	1	153	153	NUM
cuesj-522	190	2	-	-	SYM
cuesj-522	190	3	162	162	NUM
cuesj-522	190	4	,	,	PUNCT
cuesj-522	190	5	2016	2016	NUM
cuesj-522	190	6	.	.	PUNCT
cuesj-522	191	1	5	5	NUM
cuesj-522	191	2	.	.	X
cuesj-522	191	3	wikipedia	wikipedia	PROPN
cuesj-522	191	4	contributors	contributors	PROPN
cuesj-522	191	5	,	,	PUNCT
cuesj-522	191	6	“	"	PUNCT
cuesj-522	191	7	exponential	exponential	ADJ
cuesj-522	191	8	smoothing	smoothing	NOUN
cuesj-522	191	9	,	,	PUNCT
cuesj-522	191	10	”	"	PUNCT
cuesj-522	191	11	wikipedia	wikipedia	PROPN
cuesj-522	191	12	,	,	PUNCT
cuesj-522	191	13	feb	feb	PROPN
cuesj-522	191	14	.	.	PROPN
cuesj-522	191	15	21	21	NUM
cuesj-522	191	16	,	,	PUNCT
cuesj-522	191	17	2019	2019	NUM
cuesj-522	191	18	.	.	PUNCT
cuesj-522	192	1	https://en.wikipedia.org/wiki/exponential_smoothing	https://en.wikipedia.org/wiki/exponential_smoothing	NOUN
cuesj-522	192	2	.	.	PUNCT
cuesj-522	193	1	6	6	X
cuesj-522	193	2	.	.	X
cuesj-522	193	3	v.	v.	ADP
cuesj-522	193	4	a.	a.	PROPN
cuesj-522	193	5	fitria	fitria	PROPN
cuesj-522	193	6	.	.	PUNCT
cuesj-522	194	1	parameter	parameter	PROPN
cuesj-522	194	2	optimization	optimization	NOUN
cuesj-522	194	3	of	of	ADP
cuesj-522	194	4	single	single	ADJ
cuesj-522	194	5	exponential	exponential	NOUN
cuesj-522	194	6	smoothing	smoothing	NOUN
cuesj-522	194	7	using	use	VERB
cuesj-522	194	8	golden	golden	ADJ
cuesj-522	194	9	section	section	NOUN
cuesj-522	194	10	method	method	NOUN
cuesj-522	194	11	for	for	ADP
cuesj-522	194	12	groceries	grocery	NOUN
cuesj-522	194	13	forecasting	forecasting	NOUN
cuesj-522	194	14	.	.	PUNCT
cuesj-522	195	1	zero	zero	NUM
cuesj-522	195	2	:	:	PUNCT
cuesj-522	195	3	jurnal	jurnal	ADJ
cuesj-522	195	4	sains	sain	NOUN
cuesj-522	195	5	,	,	PUNCT
cuesj-522	195	6	matematika	matematika	PROPN
cuesj-522	195	7	dan	dan	PROPN
cuesj-522	195	8	terapan	terapan	PROPN
cuesj-522	195	9	,	,	PUNCT
cuesj-522	195	10	vol	vol	NOUN
cuesj-522	195	11	.	.	PROPN
cuesj-522	195	12	2	2	NUM
cuesj-522	195	13	,	,	PUNCT
cuesj-522	195	14	no	no	INTJ
cuesj-522	195	15	.	.	NOUN
cuesj-522	195	16	2	2	NUM
cuesj-522	195	17	,	,	PUNCT
cuesj-522	195	18	p.	p.	NOUN
cuesj-522	195	19	89	89	NUM
cuesj-522	195	20	,	,	PUNCT
cuesj-522	195	21	2019	2019	NUM
cuesj-522	195	22	.	.	PUNCT
cuesj-522	196	1	7	7	X
cuesj-522	196	2	.	.	X
cuesj-522	196	3	a.	a.	PROPN
cuesj-522	196	4	n.	n.	PROPN
cuesj-522	196	5	aimran	aimran	PROPN
cuesj-522	196	6	,	,	PUNCT
cuesj-522	196	7	and	and	CCONJ
cuesj-522	196	8	a.	a.	NOUN
cuesj-522	196	9	afthanorhan	afthanorhan	NOUN
cuesj-522	196	10	.	.	PUNCT
cuesj-522	197	1	a	a	DET
cuesj-522	197	2	comparison	comparison	NOUN
cuesj-522	197	3	between	between	ADP
cuesj-522	197	4	single	single	ADJ
cuesj-522	197	5	exponential	exponential	ADJ
cuesj-522	197	6	smoothing	smoothing	NOUN
cuesj-522	197	7	(	(	PUNCT
cuesj-522	197	8	ses	ses	PROPN
cuesj-522	197	9	)	)	PUNCT
cuesj-522	197	10	,	,	PUNCT
cuesj-522	197	11	double	double	ADJ
cuesj-522	197	12	exponential	exponential	NOUN
cuesj-522	197	13	smoothing	smoothing	NOUN
cuesj-522	197	14	(	(	PUNCT
cuesj-522	197	15	des	des	PROPN
cuesj-522	197	16	)	)	PUNCT
cuesj-522	197	17	,	,	PUNCT
cuesj-522	197	18	holts	holts	PROPN
cuesj-522	197	19	(	(	PUNCT
cuesj-522	197	20	brown	brown	PROPN
cuesj-522	197	21	)	)	PUNCT
cuesj-522	197	22	and	and	CCONJ
cuesj-522	197	23	adaptive	adaptive	ADJ
cuesj-522	197	24	response	response	NOUN
cuesj-522	197	25	rate	rate	NOUN
cuesj-522	197	26	exponential	exponential	ADJ
cuesj-522	197	27	smoothing	smoothing	NOUN
cuesj-522	197	28	(	(	PUNCT
cuesj-522	197	29	arres	arre	NOUN
cuesj-522	197	30	)	)	PUNCT
cuesj-522	197	31	techniques	technique	NOUN
cuesj-522	197	32	in	in	ADP
cuesj-522	197	33	forecasting	forecast	VERB
cuesj-522	197	34	malaysia	malaysia	PROPN
cuesj-522	197	35	population	population	NOUN
cuesj-522	197	36	.	.	PUNCT
cuesj-522	198	1	global	global	ADJ
cuesj-522	198	2	journal	journal	PROPN
cuesj-522	198	3	of	of	ADP
cuesj-522	198	4	mathematical	mathematical	ADJ
cuesj-522	198	5	analysis	analysis	NOUN
cuesj-522	198	6	,	,	PUNCT
cuesj-522	198	7	vol	vol	NOUN
cuesj-522	198	8	.	.	PROPN
cuesj-522	198	9	2	2	NUM
cuesj-522	198	10	,	,	PUNCT
cuesj-522	198	11	no	no	INTJ
cuesj-522	198	12	.	.	NOUN
cuesj-522	198	13	4	4	NUM
cuesj-522	198	14	,	,	PUNCT
cuesj-522	198	15	p.	p.	NOUN
cuesj-522	198	16	276	276	NUM
cuesj-522	198	17	,	,	PUNCT
cuesj-522	198	18	2014	2014	NUM
cuesj-522	198	19	.	.	PUNCT
cuesj-522	199	1	8	8	NUM
cuesj-522	199	2	.	.	PUNCT
cuesj-522	200	1	f.	f.	PROPN
cuesj-522	200	2	ikhsan	ikhsan	PROPN
cuesj-522	200	3	.	.	PUNCT
cuesj-522	201	1	forecasting	forecasting	NOUN
cuesj-522	201	2	of	of	ADP
cuesj-522	201	3	criminality	criminality	NOUN
cuesj-522	201	4	problems	problem	NOUN
cuesj-522	201	5	using	use	VERB
cuesj-522	201	6	double	double	ADJ
cuesj-522	201	7	exponential	exponential	ADJ
cuesj-522	201	8	smoothing	smoothing	NOUN
cuesj-522	201	9	method	method	NOUN
cuesj-522	201	10	.	.	PUNCT
cuesj-522	202	1	academia	academia	PROPN
cuesj-522	202	2	open	open	ADJ
cuesj-522	202	3	,	,	PUNCT
cuesj-522	202	4	vol	vol	NOUN
cuesj-522	202	5	.	.	PROPN
cuesj-522	202	6	4	4	NUM
cuesj-522	202	7	,	,	PUNCT
cuesj-522	202	8	p.	p.	NOUN
cuesj-522	202	9	122	122	NUM
cuesj-522	202	10	,	,	PUNCT
cuesj-522	202	11	2021	2021	NUM
cuesj-522	202	12	.	.	PUNCT
cuesj-522	203	1	9	9	NUM
cuesj-522	203	2	.	.	X
cuesj-522	203	3	k.	k.	PROPN
cuesj-522	203	4	aroian	aroian	PROPN
cuesj-522	203	5	,	,	PUNCT
cuesj-522	203	6	n.	n.	PROPN
cuesj-522	203	7	uddin	uddin	PROPN
cuesj-522	203	8	,	,	PUNCT
cuesj-522	203	9	and	and	CCONJ
cuesj-522	203	10	h.	h.	PROPN
cuesj-522	203	11	blbas	blbas	PROPN
cuesj-522	203	12	.	.	PUNCT
cuesj-522	204	1	longitudinal	longitudinal	ADJ
cuesj-522	204	2	study	study	NOUN
cuesj-522	204	3	of	of	ADP
cuesj-522	204	4	stress	stress	NOUN
cuesj-522	204	5	,	,	PUNCT
cuesj-522	204	6	social	social	ADJ
cuesj-522	204	7	support	support	NOUN
cuesj-522	204	8	,	,	PUNCT
cuesj-522	204	9	and	and	CCONJ
cuesj-522	204	10	depression	depression	NOUN
cuesj-522	204	11	in	in	ADP
cuesj-522	204	12	married	married	ADJ
cuesj-522	204	13	arab	arab	ADJ
cuesj-522	204	14	immigrant	immigrant	ADJ
cuesj-522	204	15	women	woman	NOUN
cuesj-522	204	16	.	.	PUNCT
cuesj-522	205	1	health	health	NOUN
cuesj-522	205	2	care	care	NOUN
cuesj-522	205	3	for	for	ADP
cuesj-522	205	4	women	woman	NOUN
cuesj-522	205	5	international	international	ADJ
cuesj-522	205	6	,	,	PUNCT
cuesj-522	205	7	vol	vol	NOUN
cuesj-522	205	8	.	.	PROPN
cuesj-522	206	1	38	38	NUM
cuesj-522	206	2	,	,	PUNCT
cuesj-522	206	3	no	no	INTJ
cuesj-522	206	4	.	.	NOUN
cuesj-522	206	5	2	2	NUM
cuesj-522	206	6	,	,	PUNCT
cuesj-522	206	7	pp	pp	ADJ
cuesj-522	206	8	.	.	PUNCT
cuesj-522	207	1	100	100	NUM
cuesj-522	207	2	-	-	SYM
cuesj-522	207	3	117	117	NUM
cuesj-522	207	4	,	,	PUNCT
cuesj-522	207	5	2016	2016	NUM
cuesj-522	207	6	.	.	PUNCT
cuesj-522	208	1	10	10	NUM
cuesj-522	208	2	.	.	PUNCT
cuesj-522	208	3	r.	r.	PROPN
cuesj-522	208	4	rachmat	rachmat	PROPN
cuesj-522	208	5	,	,	PUNCT
cuesj-522	208	6	and	and	CCONJ
cuesj-522	208	7	s.	s.	PROPN
cuesj-522	208	8	suhartono	suhartono	PROPN
cuesj-522	208	9	.	.	PUNCT
cuesj-522	209	1	comparative	comparative	ADJ
cuesj-522	209	2	analysis	analysis	NOUN
cuesj-522	209	3	of	of	ADP
cuesj-522	209	4	single	single	ADJ
cuesj-522	209	5	exponential	exponential	ADJ
cuesj-522	209	6	smoothing	smoothing	NOUN
cuesj-522	209	7	and	and	CCONJ
cuesj-522	209	8	holt	holt	PROPN
cuesj-522	209	9	’s	’s	PART
cuesj-522	209	10	method	method	NOUN
cuesj-522	209	11	for	for	ADP
cuesj-522	209	12	quality	quality	NOUN
cuesj-522	209	13	of	of	ADP
cuesj-522	209	14	hospital	hospital	NOUN
cuesj-522	209	15	services	service	NOUN
cuesj-522	209	16	forecasting	forecasting	NOUN
cuesj-522	209	17	in	in	ADP
cuesj-522	209	18	general	general	ADJ
cuesj-522	209	19	hospital	hospital	NOUN
cuesj-522	209	20	.	.	PUNCT
cuesj-522	210	1	bulletin	bulletin	NOUN
cuesj-522	210	2	of	of	ADP
cuesj-522	210	3	computer	computer	NOUN
cuesj-522	210	4	science	science	NOUN
cuesj-522	210	5	and	and	CCONJ
cuesj-522	210	6	electrical	electrical	ADJ
cuesj-522	210	7	engineering	engineering	NOUN
cuesj-522	210	8	,	,	PUNCT
cuesj-522	210	9	vol	vol	NOUN
cuesj-522	210	10	.	.	PROPN
cuesj-522	210	11	1	1	NUM
cuesj-522	210	12	,	,	PUNCT
cuesj-522	210	13	no	no	INTJ
cuesj-522	210	14	.	.	NOUN
cuesj-522	210	15	2	2	NUM
cuesj-522	210	16	,	,	PUNCT
cuesj-522	210	17	pp	pp	ADJ
cuesj-522	210	18	.	.	PUNCT
cuesj-522	211	1	80	80	NUM
cuesj-522	211	2	-	-	SYM
cuesj-522	211	3	86	86	NUM
cuesj-522	211	4	,	,	PUNCT
cuesj-522	211	5	2020	2020	NUM
cuesj-522	211	6	.	.	PUNCT