id	sid	tid	token	lemma	pos
fcis-29594	1	1	frontiers	frontier	NOUN
fcis-29594	1	2	in	in	ADP
fcis-29594	1	3	computing	computing	NOUN
fcis-29594	1	4	and	and	CCONJ
fcis-29594	1	5	intelligent	intelligent	ADJ
fcis-29594	1	6	systems	system	NOUN
fcis-29594	1	7	issn	issn	VERB
fcis-29594	1	8	:	:	PUNCT
fcis-29594	1	9	2832	2832	NUM
fcis-29594	1	10	-	-	SYM
fcis-29594	1	11	6024	6024	NUM
fcis-29594	1	12	|	|	NOUN
fcis-29594	1	13	vol	vol	NOUN
fcis-29594	1	14	.	.	PROPN
fcis-29594	2	1	11	11	NUM
fcis-29594	2	2	,	,	PUNCT
fcis-29594	2	3	no	no	INTJ
fcis-29594	2	4	.	.	NOUN
fcis-29594	2	5	2	2	NUM
fcis-29594	2	6	,	,	PUNCT
fcis-29594	2	7	2025	2025	NUM
fcis-29594	2	8	28	28	NUM
fcis-29594	2	9	time	time	NOUN
fcis-29594	2	10	series	series	NOUN
fcis-29594	2	11	modeling	modeling	NOUN
fcis-29594	2	12	and	and	CCONJ
fcis-29594	2	13	forecasting	forecast	VERB
fcis-29594	2	14	analysis	analysis	NOUN
fcis-29594	2	15	of	of	ADP
fcis-29594	2	16	energy	energy	NOUN
fcis-29594	2	17	consumption	consumption	NOUN
fcis-29594	2	18	in	in	ADP
fcis-29594	2	19	a	a	DET
fcis-29594	2	20	rare	rare	ADJ
fcis-29594	2	21	earth	earth	NOUN
fcis-29594	2	22	workshop	workshop	NOUN
fcis-29594	2	23	junfeng	junfeng	PROPN
fcis-29594	2	24	li	li	PROPN
fcis-29594	2	25	1	1	NUM
fcis-29594	2	26	,	,	PUNCT
fcis-29594	2	27	2	2	NUM
fcis-29594	2	28	,	,	PUNCT
fcis-29594	2	29	qian	qian	ADJ
fcis-29594	2	30	chen1	chen1	PROPN
fcis-29594	2	31	,	,	PUNCT
fcis-29594	2	32	*	*	PRON
fcis-29594	2	33	,	,	PUNCT
fcis-29594	2	34	yang	yang	PROPN
fcis-29594	2	35	du	du	PROPN
fcis-29594	2	36	2	2	NUM
fcis-29594	2	37	,	,	PUNCT
fcis-29594	2	38	donghui	donghui	PROPN
fcis-29594	2	39	lijiang	lijiang	PROPN
fcis-29594	2	40	2	2	NUM
fcis-29594	2	41	,	,	PUNCT
fcis-29594	2	42	zhen	zhen	PROPN
fcis-29594	2	43	liang	liang	PROPN
fcis-29594	2	44	1	1	NUM
fcis-29594	2	45	1	1	NUM
fcis-29594	2	46	equipment	equipment	NOUN
fcis-29594	2	47	engineering	engineering	NOUN
fcis-29594	2	48	department	department	NOUN
fcis-29594	2	49	,	,	PUNCT
fcis-29594	2	50	advanced	advanced	ADJ
fcis-29594	2	51	technology	technology	NOUN
fcis-29594	2	52	&	&	CCONJ
fcis-29594	2	53	materials	materials	PROPN
fcis-29594	2	54	co.	co.	PROPN
fcis-29594	2	55	,	,	PUNCT
fcis-29594	2	56	ltd	ltd	PROPN
fcis-29594	2	57	.	.	PROPN
fcis-29594	2	58	,	,	PUNCT
fcis-29594	2	59	beijing	beijing	PROPN
fcis-29594	2	60	,	,	PUNCT
fcis-29594	2	61	china	china	PROPN
fcis-29594	2	62	2	2	NUM
fcis-29594	2	63	equipment	equipment	NOUN
fcis-29594	2	64	engineering	engineering	NOUN
fcis-29594	2	65	department	department	NOUN
fcis-29594	2	66	,	,	PUNCT
fcis-29594	2	67	at&m	at&m	PROPN
fcis-29594	2	68	north	north	PROPN
fcis-29594	2	69	technology	technology	PROPN
fcis-29594	2	70	co.	co.	PROPN
fcis-29594	2	71	,	,	PUNCT
fcis-29594	2	72	ltd	ltd	PROPN
fcis-29594	2	73	.	.	PROPN
fcis-29594	2	74	,	,	PUNCT
fcis-29594	2	75	baotou	baotou	PROPN
fcis-29594	2	76	,	,	PUNCT
fcis-29594	2	77	inner	inner	PROPN
fcis-29594	2	78	mongolia	mongolia	PROPN
fcis-29594	2	79	,	,	PUNCT
fcis-29594	2	80	china	china	PROPN
fcis-29594	2	81	*	*	PUNCT
fcis-29594	2	82	corresponding	correspond	VERB
fcis-29594	2	83	author	author	NOUN
fcis-29594	2	84	:	:	PUNCT
fcis-29594	2	85	qian	qian	PROPN
fcis-29594	2	86	chen	chen	PROPN
fcis-29594	2	87	(	(	PUNCT
fcis-29594	2	88	email	email	NOUN
fcis-29594	2	89	:	:	PUNCT
fcis-29594	2	90	sanchen97@163.com	sanchen97@163.com	NOUN
fcis-29594	2	91	)	)	PUNCT
fcis-29594	2	92	abstract	abstract	NOUN
fcis-29594	2	93	:	:	PUNCT
fcis-29594	2	94	under	under	ADP
fcis-29594	2	95	the	the	DET
fcis-29594	2	96	framework	framework	NOUN
fcis-29594	2	97	of	of	ADP
fcis-29594	2	98	the	the	DET
fcis-29594	2	99	dual	dual	ADJ
fcis-29594	2	100	-	-	PUNCT
fcis-29594	2	101	carbon	carbon	NOUN
fcis-29594	2	102	strategy	strategy	NOUN
fcis-29594	2	103	,	,	PUNCT
fcis-29594	2	104	an	an	DET
fcis-29594	2	105	in	in	ADP
fcis-29594	2	106	-	-	PUNCT
fcis-29594	2	107	depth	depth	NOUN
fcis-29594	2	108	study	study	NOUN
fcis-29594	2	109	of	of	ADP
fcis-29594	2	110	carbon	carbon	NOUN
fcis-29594	2	111	emission	emission	NOUN
fcis-29594	2	112	efficiency	efficiency	NOUN
fcis-29594	2	113	in	in	ADP
fcis-29594	2	114	energy	energy	NOUN
fcis-29594	2	115	consumption	consumption	NOUN
fcis-29594	2	116	is	be	AUX
fcis-29594	2	117	of	of	ADP
fcis-29594	2	118	strategic	strategic	ADJ
fcis-29594	2	119	importance	importance	NOUN
fcis-29594	2	120	for	for	SCONJ
fcis-29594	2	121	china	china	PROPN
fcis-29594	2	122	to	to	PART
fcis-29594	2	123	achieve	achieve	VERB
fcis-29594	2	124	its	its	PRON
fcis-29594	2	125	goals	goal	NOUN
fcis-29594	2	126	of	of	ADP
fcis-29594	2	127	carbon	carbon	NOUN
fcis-29594	2	128	peaking	peaking	NOUN
fcis-29594	2	129	and	and	CCONJ
fcis-29594	2	130	carbon	carbon	NOUN
fcis-29594	2	131	neutrality	neutrality	NOUN
fcis-29594	2	132	,	,	PUNCT
fcis-29594	2	133	as	as	ADV
fcis-29594	2	134	well	well	ADV
fcis-29594	2	135	as	as	ADP
fcis-29594	2	136	to	to	PART
fcis-29594	2	137	guide	guide	VERB
fcis-29594	2	138	the	the	DET
fcis-29594	2	139	economic	economic	ADJ
fcis-29594	2	140	and	and	CCONJ
fcis-29594	2	141	social	social	ADJ
fcis-29594	2	142	transition	transition	NOUN
fcis-29594	2	143	towards	towards	ADP
fcis-29594	2	144	a	a	DET
fcis-29594	2	145	green	green	ADJ
fcis-29594	2	146	,	,	PUNCT
fcis-29594	2	147	low	low	ADJ
fcis-29594	2	148	-	-	PUNCT
fcis-29594	2	149	carbon	carbon	NOUN
fcis-29594	2	150	,	,	PUNCT
fcis-29594	2	151	and	and	CCONJ
fcis-29594	2	152	sustainable	sustainable	ADJ
fcis-29594	2	153	development	development	NOUN
fcis-29594	2	154	model	model	NOUN
fcis-29594	2	155	.	.	PUNCT
fcis-29594	3	1	this	this	DET
fcis-29594	3	2	study	study	NOUN
fcis-29594	3	3	aims	aim	VERB
fcis-29594	3	4	to	to	PART
fcis-29594	3	5	provide	provide	VERB
fcis-29594	3	6	empirical	empirical	ADJ
fcis-29594	3	7	support	support	NOUN
fcis-29594	3	8	in	in	ADP
fcis-29594	3	9	this	this	DET
fcis-29594	3	10	field	field	NOUN
fcis-29594	3	11	through	through	ADP
fcis-29594	3	12	detailed	detailed	ADJ
fcis-29594	3	13	data	datum	NOUN
fcis-29594	3	14	analysis	analysis	NOUN
fcis-29594	3	15	and	and	CCONJ
fcis-29594	3	16	predictive	predictive	ADJ
fcis-29594	3	17	modeling	modeling	NOUN
fcis-29594	3	18	.	.	PUNCT
fcis-29594	4	1	the	the	DET
fcis-29594	4	2	paper	paper	NOUN
fcis-29594	4	3	employs	employ	VERB
fcis-29594	4	4	the	the	DET
fcis-29594	4	5	arima	arima	PROPN
fcis-29594	4	6	time	time	NOUN
fcis-29594	4	7	series	series	PROPN
fcis-29594	4	8	prediction	prediction	NOUN
fcis-29594	4	9	model	model	NOUN
fcis-29594	4	10	,	,	PUNCT
fcis-29594	4	11	focusing	focus	VERB
fcis-29594	4	12	on	on	ADP
fcis-29594	4	13	analyzing	analyze	VERB
fcis-29594	4	14	the	the	DET
fcis-29594	4	15	power	power	NOUN
fcis-29594	4	16	consumption	consumption	NOUN
fcis-29594	4	17	data	datum	NOUN
fcis-29594	4	18	of	of	ADP
fcis-29594	4	19	a	a	DET
fcis-29594	4	20	sintered	sinter	VERB
fcis-29594	4	21	ndfeb	ndfeb	ADJ
fcis-29594	4	22	workshop	workshop	NOUN
fcis-29594	4	23	from	from	ADP
fcis-29594	4	24	2023	2023	NUM
fcis-29594	4	25	to	to	ADP
fcis-29594	4	26	2024	2024	NUM
fcis-29594	4	27	to	to	PART
fcis-29594	4	28	make	make	VERB
fcis-29594	4	29	accurate	accurate	ADJ
fcis-29594	4	30	predictions	prediction	NOUN
fcis-29594	4	31	of	of	ADP
fcis-29594	4	32	future	future	ADJ
fcis-29594	4	33	energy	energy	NOUN
fcis-29594	4	34	use	use	NOUN
fcis-29594	4	35	and	and	CCONJ
fcis-29594	4	36	carbon	carbon	NOUN
fcis-29594	4	37	emission	emission	NOUN
fcis-29594	4	38	trends	trend	NOUN
fcis-29594	4	39	.	.	PUNCT
fcis-29594	5	1	the	the	DET
fcis-29594	5	2	research	research	NOUN
fcis-29594	5	3	process	process	NOUN
fcis-29594	5	4	is	be	AUX
fcis-29594	5	5	rigorous	rigorous	ADJ
fcis-29594	5	6	:	:	PUNCT
fcis-29594	5	7	first	first	ADJ
fcis-29594	5	8	,	,	PUNCT
fcis-29594	5	9	unit	unit	NOUN
fcis-29594	5	10	root	root	NOUN
fcis-29594	5	11	tests	test	NOUN
fcis-29594	5	12	(	(	PUNCT
fcis-29594	5	13	adf	adf	NOUN
fcis-29594	5	14	tests	test	NOUN
fcis-29594	5	15	)	)	PUNCT
fcis-29594	5	16	and	and	CCONJ
fcis-29594	5	17	white	white	ADJ
fcis-29594	5	18	noise	noise	NOUN
fcis-29594	5	19	tests	test	NOUN
fcis-29594	5	20	are	be	AUX
fcis-29594	5	21	conducted	conduct	VERB
fcis-29594	5	22	on	on	ADP
fcis-29594	5	23	the	the	DET
fcis-29594	5	24	collected	collect	VERB
fcis-29594	5	25	dataset	dataset	NOUN
fcis-29594	5	26	to	to	PART
fcis-29594	5	27	ensure	ensure	VERB
fcis-29594	5	28	data	datum	NOUN
fcis-29594	5	29	stationarity	stationarity	NOUN
fcis-29594	5	30	and	and	CCONJ
fcis-29594	5	31	reliability	reliability	NOUN
fcis-29594	5	32	.	.	PUNCT
fcis-29594	6	1	next	next	ADV
fcis-29594	6	2	,	,	PUNCT
fcis-29594	6	3	the	the	DET
fcis-29594	6	4	bayesian	bayesian	NOUN
fcis-29594	6	5	information	information	NOUN
fcis-29594	6	6	criterion	criterion	NOUN
fcis-29594	6	7	(	(	PUNCT
fcis-29594	6	8	bic	bic	PROPN
fcis-29594	6	9	)	)	PUNCT
fcis-29594	6	10	is	be	AUX
fcis-29594	6	11	used	use	VERB
fcis-29594	6	12	to	to	PART
fcis-29594	6	13	select	select	VERB
fcis-29594	6	14	optimal	optimal	ADJ
fcis-29594	6	15	model	model	NOUN
fcis-29594	6	16	parameters	parameter	NOUN
fcis-29594	6	17	,	,	PUNCT
fcis-29594	6	18	enhancing	enhance	VERB
fcis-29594	6	19	the	the	DET
fcis-29594	6	20	accuracy	accuracy	NOUN
fcis-29594	6	21	and	and	CCONJ
fcis-29594	6	22	efficiency	efficiency	NOUN
fcis-29594	6	23	of	of	ADP
fcis-29594	6	24	predictions	prediction	NOUN
fcis-29594	6	25	.	.	PUNCT
fcis-29594	7	1	in	in	ADP
fcis-29594	7	2	terms	term	NOUN
fcis-29594	7	3	of	of	ADP
fcis-29594	7	4	data	datum	NOUN
fcis-29594	7	5	processing	processing	NOUN
fcis-29594	7	6	,	,	PUNCT
fcis-29594	7	7	the	the	DET
fcis-29594	7	8	dataset	dataset	NOUN
fcis-29594	7	9	is	be	AUX
fcis-29594	7	10	divided	divide	VERB
fcis-29594	7	11	into	into	ADP
fcis-29594	7	12	a	a	DET
fcis-29594	7	13	training	training	NOUN
fcis-29594	7	14	set	set	NOUN
fcis-29594	7	15	and	and	CCONJ
fcis-29594	7	16	a	a	DET
fcis-29594	7	17	test	test	NOUN
fcis-29594	7	18	set	set	VERB
fcis-29594	7	19	in	in	ADP
fcis-29594	7	20	an	an	DET
fcis-29594	7	21	8:2	8:2	NUM
fcis-29594	7	22	ratio	ratio	NOUN
fcis-29594	7	23	,	,	PUNCT
fcis-29594	7	24	ensuring	ensure	VERB
fcis-29594	7	25	the	the	DET
fcis-29594	7	26	model	model	NOUN
fcis-29594	7	27	learns	learn	VERB
fcis-29594	7	28	data	datum	NOUN
fcis-29594	7	29	characteristics	characteristic	NOUN
fcis-29594	7	30	thoroughly	thoroughly	ADV
fcis-29594	7	31	during	during	ADP
fcis-29594	7	32	training	training	NOUN
fcis-29594	7	33	and	and	CCONJ
fcis-29594	7	34	demonstrates	demonstrate	VERB
fcis-29594	7	35	strong	strong	ADJ
fcis-29594	7	36	generalization	generalization	NOUN
fcis-29594	7	37	in	in	ADP
fcis-29594	7	38	testing	testing	NOUN
fcis-29594	7	39	.	.	PUNCT
fcis-29594	8	1	the	the	DET
fcis-29594	8	2	experimental	experimental	ADJ
fcis-29594	8	3	results	result	NOUN
fcis-29594	8	4	indicate	indicate	VERB
fcis-29594	8	5	that	that	SCONJ
fcis-29594	8	6	applying	apply	VERB
fcis-29594	8	7	the	the	DET
fcis-29594	8	8	arima	arima	PROPN
fcis-29594	8	9	model	model	NOUN
fcis-29594	8	10	to	to	PART
fcis-29594	8	11	forecast	forecast	VERB
fcis-29594	8	12	power	power	NOUN
fcis-29594	8	13	consumption	consumption	NOUN
fcis-29594	8	14	data	datum	NOUN
fcis-29594	8	15	in	in	ADP
fcis-29594	8	16	the	the	DET
fcis-29594	8	17	workshop	workshop	NOUN
fcis-29594	8	18	effectively	effectively	ADV
fcis-29594	8	19	reveals	reveal	VERB
fcis-29594	8	20	intrinsic	intrinsic	ADJ
fcis-29594	8	21	energy	energy	NOUN
fcis-29594	8	22	consumption	consumption	NOUN
fcis-29594	8	23	patterns	pattern	NOUN
fcis-29594	8	24	and	and	CCONJ
fcis-29594	8	25	provides	provide	VERB
fcis-29594	8	26	valuable	valuable	ADJ
fcis-29594	8	27	guidance	guidance	NOUN
fcis-29594	8	28	for	for	ADP
fcis-29594	8	29	optimizing	optimize	VERB
fcis-29594	8	30	workshop	workshop	NOUN
fcis-29594	8	31	energy	energy	NOUN
fcis-29594	8	32	management	management	NOUN
fcis-29594	8	33	and	and	CCONJ
fcis-29594	8	34	reducing	reduce	VERB
fcis-29594	8	35	carbon	carbon	NOUN
fcis-29594	8	36	emissions	emission	NOUN
fcis-29594	8	37	.	.	PUNCT
fcis-29594	9	1	keywords	keyword	NOUN
fcis-29594	9	2	:	:	PUNCT
fcis-29594	9	3	dual	dual	ADJ
fcis-29594	9	4	-	-	PUNCT
fcis-29594	9	5	carbon	carbon	NOUN
fcis-29594	9	6	strategy	strategy	NOUN
fcis-29594	9	7	;	;	PUNCT
fcis-29594	9	8	arima	arima	PROPN
fcis-29594	9	9	model	model	NOUN
fcis-29594	9	10	;	;	PUNCT
fcis-29594	9	11	time	time	NOUN
fcis-29594	9	12	series	series	PROPN
fcis-29594	9	13	forecasting	forecasting	NOUN
fcis-29594	9	14	;	;	PUNCT
fcis-29594	9	15	sintered	sinter	VERB
fcis-29594	9	16	ndfeb	ndfeb	PROPN
fcis-29594	9	17	workshop	workshop	NOUN
fcis-29594	9	18	.	.	PUNCT
fcis-29594	10	1	1	1	X
fcis-29594	10	2	.	.	X
fcis-29594	10	3	introduction	introduction	NOUN
fcis-29594	10	4	in	in	ADP
fcis-29594	10	5	recent	recent	ADJ
fcis-29594	10	6	years	year	NOUN
fcis-29594	10	7	,	,	PUNCT
fcis-29594	10	8	climate	climate	NOUN
fcis-29594	10	9	change	change	NOUN
fcis-29594	10	10	and	and	CCONJ
fcis-29594	10	11	environmental	environmental	ADJ
fcis-29594	10	12	degradation	degradation	NOUN
fcis-29594	10	13	have	have	AUX
fcis-29594	10	14	posed	pose	VERB
fcis-29594	10	15	critical	critical	ADJ
fcis-29594	10	16	challenges	challenge	NOUN
fcis-29594	10	17	worldwide	worldwide	ADV
fcis-29594	10	18	,	,	PUNCT
fcis-29594	10	19	urging	urge	VERB
fcis-29594	10	20	countries	country	NOUN
fcis-29594	10	21	to	to	PART
fcis-29594	10	22	adopt	adopt	VERB
fcis-29594	10	23	low	low	ADJ
fcis-29594	10	24	-	-	PUNCT
fcis-29594	10	25	carbon	carbon	NOUN
fcis-29594	10	26	and	and	CCONJ
fcis-29594	10	27	sustainable	sustainable	ADJ
fcis-29594	10	28	development	development	NOUN
fcis-29594	10	29	strategies	strategy	NOUN
fcis-29594	10	30	.	.	PUNCT
fcis-29594	11	1	in	in	ADP
fcis-29594	11	2	response	response	NOUN
fcis-29594	11	3	to	to	ADP
fcis-29594	11	4	this	this	PRON
fcis-29594	11	5	,	,	PUNCT
fcis-29594	11	6	china	china	PROPN
fcis-29594	11	7	has	have	AUX
fcis-29594	11	8	implemented	implement	VERB
fcis-29594	11	9	the	the	DET
fcis-29594	11	10	“	"	PUNCT
fcis-29594	11	11	dual	dual	ADJ
fcis-29594	11	12	-	-	PUNCT
fcis-29594	11	13	carbon	carbon	NOUN
fcis-29594	11	14	”	"	PUNCT
fcis-29594	11	15	strategy	strategy	NOUN
fcis-29594	11	16	,	,	PUNCT
fcis-29594	11	17	which	which	PRON
fcis-29594	11	18	aims	aim	VERB
fcis-29594	11	19	for	for	ADP
fcis-29594	11	20	carbon	carbon	NOUN
fcis-29594	11	21	peaking	peaking	NOUN
fcis-29594	11	22	by	by	ADP
fcis-29594	11	23	2030	2030	NUM
fcis-29594	11	24	and	and	CCONJ
fcis-29594	11	25	carbon	carbon	NOUN
fcis-29594	11	26	neutrality	neutrality	NOUN
fcis-29594	11	27	by	by	ADP
fcis-29594	11	28	2060[1,2	2060[1,2	NUM
fcis-29594	11	29	]	]	PUNCT
fcis-29594	11	30	.	.	PUNCT
fcis-29594	12	1	achieving	achieve	VERB
fcis-29594	12	2	these	these	DET
fcis-29594	12	3	ambitious	ambitious	ADJ
fcis-29594	12	4	goals	goal	NOUN
fcis-29594	12	5	requires	require	VERB
fcis-29594	12	6	a	a	DET
fcis-29594	12	7	thorough	thorough	ADJ
fcis-29594	12	8	examination	examination	NOUN
fcis-29594	12	9	of	of	ADP
fcis-29594	12	10	energy	energy	NOUN
fcis-29594	12	11	consumption	consumption	NOUN
fcis-29594	12	12	patterns	pattern	NOUN
fcis-29594	12	13	and	and	CCONJ
fcis-29594	12	14	carbon	carbon	NOUN
fcis-29594	12	15	emission	emission	NOUN
fcis-29594	12	16	efficiency	efficiency	NOUN
fcis-29594	12	17	across	across	ADP
fcis-29594	12	18	different	different	ADJ
fcis-29594	12	19	sectors	sector	NOUN
fcis-29594	12	20	,	,	PUNCT
fcis-29594	12	21	particularly	particularly	ADV
fcis-29594	12	22	in	in	ADP
fcis-29594	12	23	industries	industry	NOUN
fcis-29594	12	24	with	with	ADP
fcis-29594	12	25	high	high	ADJ
fcis-29594	12	26	energy	energy	NOUN
fcis-29594	12	27	consumption	consumption	NOUN
fcis-29594	12	28	.	.	PUNCT
fcis-29594	13	1	research	research	NOUN
fcis-29594	13	2	into	into	ADP
fcis-29594	13	3	carbon	carbon	NOUN
fcis-29594	13	4	emission	emission	NOUN
fcis-29594	13	5	efficiency	efficiency	NOUN
fcis-29594	13	6	within	within	ADP
fcis-29594	13	7	the	the	DET
fcis-29594	13	8	energy	energy	NOUN
fcis-29594	13	9	consumption	consumption	NOUN
fcis-29594	13	10	process	process	NOUN
fcis-29594	13	11	is	be	AUX
fcis-29594	13	12	not	not	PART
fcis-29594	13	13	only	only	ADV
fcis-29594	13	14	fundamental	fundamental	ADJ
fcis-29594	13	15	to	to	ADP
fcis-29594	13	16	supporting	support	VERB
fcis-29594	13	17	the	the	DET
fcis-29594	13	18	dual	dual	ADJ
fcis-29594	13	19	-	-	PUNCT
fcis-29594	13	20	carbon	carbon	NOUN
fcis-29594	13	21	strategy	strategy	NOUN
fcis-29594	13	22	but	but	CCONJ
fcis-29594	13	23	is	be	AUX
fcis-29594	13	24	also	also	ADV
fcis-29594	13	25	key	key	ADJ
fcis-29594	13	26	to	to	ADP
fcis-29594	13	27	transforming	transform	VERB
fcis-29594	13	28	the	the	DET
fcis-29594	13	29	economy	economy	NOUN
fcis-29594	13	30	towards	towards	ADP
fcis-29594	13	31	a	a	DET
fcis-29594	13	32	green	green	ADJ
fcis-29594	13	33	and	and	CCONJ
fcis-29594	13	34	sustainable	sustainable	ADJ
fcis-29594	13	35	model	model	NOUN
fcis-29594	13	36	.	.	PUNCT
fcis-29594	14	1	this	this	DET
fcis-29594	14	2	study	study	NOUN
fcis-29594	14	3	,	,	PUNCT
fcis-29594	14	4	therefore	therefore	ADV
fcis-29594	14	5	,	,	PUNCT
fcis-29594	14	6	focuses	focus	VERB
fcis-29594	14	7	on	on	ADP
fcis-29594	14	8	contributing	contribute	VERB
fcis-29594	14	9	to	to	ADP
fcis-29594	14	10	the	the	DET
fcis-29594	14	11	empirical	empirical	ADJ
fcis-29594	14	12	knowledge	knowledge	NOUN
fcis-29594	14	13	necessary	necessary	ADJ
fcis-29594	14	14	to	to	PART
fcis-29594	14	15	achieve	achieve	VERB
fcis-29594	14	16	these	these	DET
fcis-29594	14	17	objectives	objective	NOUN
fcis-29594	14	18	by	by	ADP
fcis-29594	14	19	analyzing	analyze	VERB
fcis-29594	14	20	and	and	CCONJ
fcis-29594	14	21	predicting	predict	VERB
fcis-29594	14	22	energy	energy	NOUN
fcis-29594	14	23	consumption	consumption	NOUN
fcis-29594	14	24	trends	trend	NOUN
fcis-29594	14	25	and	and	CCONJ
fcis-29594	14	26	associated	associated	ADJ
fcis-29594	14	27	carbon	carbon	NOUN
fcis-29594	14	28	emissions	emission	NOUN
fcis-29594	14	29	.	.	PUNCT
fcis-29594	15	1	the	the	DET
fcis-29594	15	2	production	production	NOUN
fcis-29594	15	3	of	of	ADP
fcis-29594	15	4	sintered	sinter	VERB
fcis-29594	15	5	neodymium	neodymium	NOUN
fcis-29594	15	6	-	-	PUNCT
fcis-29594	15	7	iron	iron	NOUN
fcis-29594	15	8	-	-	PUNCT
fcis-29594	15	9	boron	boron	NOUN
fcis-29594	15	10	(	(	PUNCT
fcis-29594	15	11	ndfeb	ndfeb	ADJ
fcis-29594	15	12	)	)	PUNCT
fcis-29594	15	13	magnets	magnet	NOUN
fcis-29594	15	14	,	,	PUNCT
fcis-29594	15	15	widely	widely	ADV
fcis-29594	15	16	used	use	VERB
fcis-29594	15	17	in	in	ADP
fcis-29594	15	18	high	high	ADJ
fcis-29594	15	19	-	-	PUNCT
fcis-29594	15	20	tech	tech	NOUN
fcis-29594	15	21	applications	application	NOUN
fcis-29594	15	22	such	such	ADJ
fcis-29594	15	23	as	as	ADP
fcis-29594	15	24	renewable	renewable	ADJ
fcis-29594	15	25	energy	energy	NOUN
fcis-29594	15	26	systems	system	NOUN
fcis-29594	15	27	and	and	CCONJ
fcis-29594	15	28	electric	electric	ADJ
fcis-29594	15	29	vehicles	vehicle	NOUN
fcis-29594	15	30	,	,	PUNCT
fcis-29594	15	31	involves	involve	VERB
fcis-29594	15	32	considerable	considerable	ADJ
fcis-29594	15	33	energy	energy	NOUN
fcis-29594	15	34	consumption[3,4	consumption[3,4	PROPN
fcis-29594	15	35	]	]	PUNCT
fcis-29594	15	36	.	.	PUNCT
fcis-29594	16	1	the	the	DET
fcis-29594	16	2	ndfeb	ndfeb	ADJ
fcis-29594	16	3	manufacturing	manufacturing	NOUN
fcis-29594	16	4	process	process	NOUN
fcis-29594	16	5	,	,	PUNCT
fcis-29594	16	6	particularly	particularly	ADV
fcis-29594	16	7	the	the	DET
fcis-29594	16	8	sintering	sinter	VERB
fcis-29594	16	9	workshop	workshop	NOUN
fcis-29594	16	10	,	,	PUNCT
fcis-29594	16	11	consumes	consume	VERB
fcis-29594	16	12	a	a	DET
fcis-29594	16	13	significant	significant	ADJ
fcis-29594	16	14	amount	amount	NOUN
fcis-29594	16	15	of	of	ADP
fcis-29594	16	16	electricity	electricity	NOUN
fcis-29594	16	17	,	,	PUNCT
fcis-29594	16	18	making	make	VERB
fcis-29594	16	19	it	it	PRON
fcis-29594	16	20	a	a	DET
fcis-29594	16	21	prime	prime	ADJ
fcis-29594	16	22	candidate	candidate	NOUN
fcis-29594	16	23	for	for	ADP
fcis-29594	16	24	optimizing	optimize	VERB
fcis-29594	16	25	energy	energy	NOUN
fcis-29594	16	26	efficiency	efficiency	NOUN
fcis-29594	16	27	and	and	CCONJ
fcis-29594	16	28	reducing	reduce	VERB
fcis-29594	16	29	carbon	carbon	NOUN
fcis-29594	16	30	emissions	emission	NOUN
fcis-29594	16	31	.	.	PUNCT
fcis-29594	17	1	hence	hence	ADV
fcis-29594	17	2	,	,	PUNCT
fcis-29594	17	3	understanding	understand	VERB
fcis-29594	17	4	the	the	DET
fcis-29594	17	5	energy	energy	NOUN
fcis-29594	17	6	consumption	consumption	NOUN
fcis-29594	17	7	patterns	pattern	NOUN
fcis-29594	17	8	within	within	ADP
fcis-29594	17	9	this	this	DET
fcis-29594	17	10	specific	specific	ADJ
fcis-29594	17	11	context	context	NOUN
fcis-29594	17	12	could	could	AUX
fcis-29594	17	13	provide	provide	VERB
fcis-29594	17	14	valuable	valuable	ADJ
fcis-29594	17	15	insights	insight	NOUN
fcis-29594	17	16	and	and	CCONJ
fcis-29594	17	17	offer	offer	VERB
fcis-29594	17	18	practical	practical	ADJ
fcis-29594	17	19	guidance	guidance	NOUN
fcis-29594	17	20	for	for	ADP
fcis-29594	17	21	similar	similar	ADJ
fcis-29594	17	22	energy	energy	NOUN
fcis-29594	17	23	-	-	PUNCT
fcis-29594	17	24	intensive	intensive	ADJ
fcis-29594	17	25	industries	industry	NOUN
fcis-29594	17	26	.	.	PUNCT
fcis-29594	18	1	this	this	DET
fcis-29594	18	2	study	study	NOUN
fcis-29594	18	3	specifically	specifically	ADV
fcis-29594	18	4	aims	aim	VERB
fcis-29594	18	5	to	to	PART
fcis-29594	18	6	assess	assess	VERB
fcis-29594	18	7	and	and	CCONJ
fcis-29594	18	8	predict	predict	VERB
fcis-29594	18	9	energy	energy	NOUN
fcis-29594	18	10	consumption	consumption	NOUN
fcis-29594	18	11	trends	trend	NOUN
fcis-29594	18	12	in	in	ADP
fcis-29594	18	13	the	the	DET
fcis-29594	18	14	sintered	sinter	VERB
fcis-29594	18	15	ndfeb	ndfeb	PROPN
fcis-29594	18	16	workshop	workshop	NOUN
fcis-29594	18	17	from	from	ADP
fcis-29594	18	18	2023	2023	NUM
fcis-29594	18	19	to	to	ADP
fcis-29594	18	20	2024	2024	NUM
fcis-29594	18	21	,	,	PUNCT
fcis-29594	18	22	providing	provide	VERB
fcis-29594	18	23	a	a	DET
fcis-29594	18	24	basis	basis	NOUN
fcis-29594	18	25	for	for	ADP
fcis-29594	18	26	future	future	ADJ
fcis-29594	18	27	carbon	carbon	NOUN
fcis-29594	18	28	emission	emission	NOUN
fcis-29594	18	29	reduction	reduction	NOUN
fcis-29594	18	30	strategies	strategy	NOUN
fcis-29594	18	31	within	within	ADP
fcis-29594	18	32	the	the	DET
fcis-29594	18	33	sector	sector	NOUN
fcis-29594	18	34	.	.	PUNCT
fcis-29594	19	1	to	to	PART
fcis-29594	19	2	effectively	effectively	ADV
fcis-29594	19	3	analyze	analyze	VERB
fcis-29594	19	4	and	and	CCONJ
fcis-29594	19	5	forecast	forecast	VERB
fcis-29594	19	6	the	the	DET
fcis-29594	19	7	energy	energy	NOUN
fcis-29594	19	8	consumption	consumption	NOUN
fcis-29594	19	9	and	and	CCONJ
fcis-29594	19	10	associated	associated	ADJ
fcis-29594	19	11	carbon	carbon	NOUN
fcis-29594	19	12	emissions	emission	NOUN
fcis-29594	19	13	,	,	PUNCT
fcis-29594	19	14	this	this	DET
fcis-29594	19	15	study	study	NOUN
fcis-29594	19	16	employs	employ	VERB
fcis-29594	19	17	the	the	DET
fcis-29594	19	18	arima	arima	PROPN
fcis-29594	19	19	(	(	PUNCT
fcis-29594	19	20	autoregressive	autoregressive	ADJ
fcis-29594	19	21	integrated	integrated	ADJ
fcis-29594	19	22	moving	move	VERB
fcis-29594	19	23	average	average	ADJ
fcis-29594	19	24	)	)	PUNCT
fcis-29594	19	25	time	time	NOUN
fcis-29594	19	26	series	series	PROPN
fcis-29594	19	27	prediction	prediction	NOUN
fcis-29594	19	28	model	model	NOUN
fcis-29594	19	29	.	.	PUNCT
fcis-29594	20	1	arima	arima	PROPN
fcis-29594	20	2	is	be	AUX
fcis-29594	20	3	a	a	DET
fcis-29594	20	4	widely	widely	ADV
fcis-29594	20	5	recognized	recognize	VERB
fcis-29594	20	6	model	model	NOUN
fcis-29594	20	7	in	in	ADP
fcis-29594	20	8	time	time	NOUN
fcis-29594	20	9	series	series	PROPN
fcis-29594	20	10	analysis	analysis	NOUN
fcis-29594	20	11	,	,	PUNCT
fcis-29594	20	12	renowned	renowne	VERB
fcis-29594	20	13	for	for	ADP
fcis-29594	20	14	its	its	PRON
fcis-29594	20	15	efficacy	efficacy	NOUN
fcis-29594	20	16	in	in	ADP
fcis-29594	20	17	making	make	VERB
fcis-29594	20	18	shortto	shortto	ADJ
fcis-29594	20	19	medium	medium	ADJ
fcis-29594	20	20	-	-	PUNCT
fcis-29594	20	21	term	term	NOUN
fcis-29594	20	22	forecasts	forecast	NOUN
fcis-29594	20	23	by	by	ADP
fcis-29594	20	24	capturing	capture	VERB
fcis-29594	20	25	patterns	pattern	NOUN
fcis-29594	20	26	in	in	ADP
fcis-29594	20	27	temporal	temporal	ADJ
fcis-29594	20	28	data	datum	NOUN
fcis-29594	20	29	.	.	PUNCT
fcis-29594	21	1	given	give	VERB
fcis-29594	21	2	its	its	PRON
fcis-29594	21	3	robustness	robustness	NOUN
fcis-29594	21	4	in	in	ADP
fcis-29594	21	5	modeling	modeling	NOUN
fcis-29594	21	6	and	and	CCONJ
fcis-29594	21	7	predicting	predict	VERB
fcis-29594	21	8	univariate	univariate	ADJ
fcis-29594	21	9	time	time	NOUN
fcis-29594	21	10	series	series	PROPN
fcis-29594	21	11	data	data	PROPN
fcis-29594	21	12	,	,	PUNCT
fcis-29594	21	13	arima	arima	PROPN
fcis-29594	21	14	is	be	AUX
fcis-29594	21	15	well	well	ADV
fcis-29594	21	16	-	-	PUNCT
fcis-29594	21	17	suited	suit	VERB
fcis-29594	21	18	for	for	ADP
fcis-29594	21	19	applications	application	NOUN
fcis-29594	21	20	involving	involve	VERB
fcis-29594	21	21	energy	energy	NOUN
fcis-29594	21	22	consumption	consumption	NOUN
fcis-29594	21	23	predictions	prediction	NOUN
fcis-29594	21	24	,	,	PUNCT
fcis-29594	21	25	which	which	PRON
fcis-29594	21	26	are	be	AUX
fcis-29594	21	27	often	often	ADV
fcis-29594	21	28	influenced	influence	VERB
fcis-29594	21	29	by	by	ADP
fcis-29594	21	30	seasonal	seasonal	ADJ
fcis-29594	21	31	and	and	CCONJ
fcis-29594	21	32	temporal	temporal	ADJ
fcis-29594	21	33	factors	factor	NOUN
fcis-29594	21	34	.	.	PUNCT
fcis-29594	22	1	the	the	DET
fcis-29594	22	2	arima	arima	PROPN
fcis-29594	22	3	model	model	NOUN
fcis-29594	22	4	has	have	AUX
fcis-29594	22	5	been	be	AUX
fcis-29594	22	6	extensively	extensively	ADV
fcis-29594	22	7	applied	apply	VERB
fcis-29594	22	8	in	in	ADP
fcis-29594	22	9	fields	field	NOUN
fcis-29594	22	10	such	such	ADJ
fcis-29594	22	11	as	as	ADP
fcis-29594	22	12	economics	economic	NOUN
fcis-29594	22	13	,	,	PUNCT
fcis-29594	22	14	meteorology	meteorology	NOUN
fcis-29594	22	15	,	,	PUNCT
fcis-29594	22	16	and	and	CCONJ
fcis-29594	22	17	environmental	environmental	ADJ
fcis-29594	22	18	science	science	NOUN
fcis-29594	22	19	,	,	PUNCT
fcis-29594	22	20	demonstrating	demonstrate	VERB
fcis-29594	22	21	its	its	PRON
fcis-29594	22	22	capability	capability	NOUN
fcis-29594	22	23	to	to	PART
fcis-29594	22	24	deliver	deliver	VERB
fcis-29594	22	25	reliable	reliable	ADJ
fcis-29594	22	26	forecasts	forecast	NOUN
fcis-29594	22	27	when	when	SCONJ
fcis-29594	22	28	applied	apply	VERB
fcis-29594	22	29	to	to	ADP
fcis-29594	22	30	complex	complex	ADJ
fcis-29594	22	31	and	and	CCONJ
fcis-29594	22	32	variable	variable	ADJ
fcis-29594	22	33	datasets[5,6	datasets[5,6	PROPN
fcis-29594	22	34	]	]	PUNCT
fcis-29594	22	35	.	.	PUNCT
fcis-29594	23	1	the	the	DET
fcis-29594	23	2	predictive	predictive	ADJ
fcis-29594	23	3	analysis	analysis	NOUN
fcis-29594	23	4	conducted	conduct	VERB
fcis-29594	23	5	in	in	ADP
fcis-29594	23	6	this	this	DET
fcis-29594	23	7	research	research	NOUN
fcis-29594	23	8	is	be	AUX
fcis-29594	23	9	underpinned	underpin	VERB
fcis-29594	23	10	by	by	ADP
fcis-29594	23	11	a	a	DET
fcis-29594	23	12	rigorous	rigorous	ADJ
fcis-29594	23	13	methodology	methodology	NOUN
fcis-29594	23	14	.	.	PUNCT
fcis-29594	24	1	the	the	DET
fcis-29594	24	2	data	datum	NOUN
fcis-29594	24	3	used	use	VERB
fcis-29594	24	4	in	in	ADP
fcis-29594	24	5	the	the	DET
fcis-29594	24	6	study	study	NOUN
fcis-29594	24	7	include	include	VERB
fcis-29594	24	8	power	power	NOUN
fcis-29594	24	9	consumption	consumption	NOUN
fcis-29594	24	10	records	record	NOUN
fcis-29594	24	11	from	from	ADP
fcis-29594	24	12	the	the	DET
fcis-29594	24	13	sintered	sinter	VERB
fcis-29594	24	14	ndfeb	ndfeb	PROPN
fcis-29594	24	15	workshop	workshop	NOUN
fcis-29594	24	16	over	over	ADP
fcis-29594	24	17	a	a	DET
fcis-29594	24	18	specified	specified	ADJ
fcis-29594	24	19	period	period	NOUN
fcis-29594	24	20	.	.	PUNCT
fcis-29594	25	1	to	to	PART
fcis-29594	25	2	ensure	ensure	VERB
fcis-29594	25	3	the	the	DET
fcis-29594	25	4	validity	validity	NOUN
fcis-29594	25	5	and	and	CCONJ
fcis-29594	25	6	reliability	reliability	NOUN
fcis-29594	25	7	of	of	ADP
fcis-29594	25	8	this	this	DET
fcis-29594	25	9	dataset	dataset	NOUN
fcis-29594	25	10	,	,	PUNCT
fcis-29594	25	11	an	an	DET
fcis-29594	25	12	augmented	augment	VERB
fcis-29594	25	13	dickeyfuller	dickeyfuller	NOUN
fcis-29594	25	14	(	(	PUNCT
fcis-29594	25	15	adf	adf	NOUN
fcis-29594	25	16	)	)	PUNCT
fcis-29594	25	17	test	test	NOUN
fcis-29594	25	18	and	and	CCONJ
fcis-29594	25	19	a	a	DET
fcis-29594	25	20	white	white	ADJ
fcis-29594	25	21	noise	noise	NOUN
fcis-29594	25	22	test	test	NOUN
fcis-29594	25	23	were	be	AUX
fcis-29594	25	24	conducted	conduct	VERB
fcis-29594	25	25	.	.	PUNCT
fcis-29594	26	1	the	the	DET
fcis-29594	26	2	adf	adf	PROPN
fcis-29594	26	3	test	test	NOUN
fcis-29594	26	4	is	be	AUX
fcis-29594	26	5	a	a	DET
fcis-29594	26	6	statistical	statistical	ADJ
fcis-29594	26	7	method	method	NOUN
fcis-29594	26	8	used	use	VERB
fcis-29594	26	9	to	to	PART
fcis-29594	26	10	verify	verify	VERB
fcis-29594	26	11	the	the	DET
fcis-29594	26	12	stationarity	stationarity	NOUN
fcis-29594	26	13	of	of	ADP
fcis-29594	26	14	time	time	NOUN
fcis-29594	26	15	series	series	PROPN
fcis-29594	26	16	data	data	PROPN
fcis-29594	26	17	,	,	PUNCT
fcis-29594	26	18	which	which	PRON
fcis-29594	26	19	is	be	AUX
fcis-29594	26	20	crucial	crucial	ADJ
fcis-29594	26	21	for	for	ADP
fcis-29594	26	22	ensuring	ensure	VERB
fcis-29594	26	23	the	the	DET
fcis-29594	26	24	accuracy	accuracy	NOUN
fcis-29594	26	25	of	of	ADP
fcis-29594	26	26	predictive	predictive	ADJ
fcis-29594	26	27	models	model	NOUN
fcis-29594	26	28	.	.	PUNCT
fcis-29594	27	1	similarly	similarly	ADV
fcis-29594	27	2	,	,	PUNCT
fcis-29594	27	3	the	the	DET
fcis-29594	27	4	white	white	PROPN
fcis-29594	27	5	noise	noise	PROPN
fcis-29594	27	6	test	test	NOUN
fcis-29594	27	7	is	be	AUX
fcis-29594	27	8	employed	employ	VERB
fcis-29594	27	9	to	to	PART
fcis-29594	27	10	verify	verify	VERB
fcis-29594	27	11	that	that	SCONJ
fcis-29594	27	12	the	the	DET
fcis-29594	27	13	data	data	NOUN
fcis-29594	27	14	contains	contain	VERB
fcis-29594	27	15	sufficient	sufficient	ADJ
fcis-29594	27	16	signal	signal	NOUN
fcis-29594	27	17	and	and	CCONJ
fcis-29594	27	18	is	be	AUX
fcis-29594	27	19	not	not	PART
fcis-29594	27	20	dominated	dominate	VERB
fcis-29594	27	21	by	by	ADP
fcis-29594	27	22	random	random	ADJ
fcis-29594	27	23	noise	noise	NOUN
fcis-29594	27	24	,	,	PUNCT
fcis-29594	27	25	which	which	PRON
fcis-29594	27	26	could	could	AUX
fcis-29594	27	27	compromise	compromise	VERB
fcis-29594	27	28	the	the	DET
fcis-29594	27	29	predictive	predictive	ADJ
fcis-29594	27	30	capability	capability	NOUN
fcis-29594	27	31	of	of	ADP
fcis-29594	27	32	the	the	DET
fcis-29594	27	33	model	model	NOUN
fcis-29594	27	34	.	.	PUNCT
fcis-29594	28	1	in	in	ADP
fcis-29594	28	2	addition	addition	NOUN
fcis-29594	28	3	,	,	PUNCT
fcis-29594	28	4	the	the	DET
fcis-29594	28	5	bayesian	bayesian	NOUN
fcis-29594	28	6	information	information	NOUN
fcis-29594	28	7	criterion	criterion	NOUN
fcis-29594	28	8	(	(	PUNCT
fcis-29594	28	9	bic	bic	PROPN
fcis-29594	28	10	)	)	PUNCT
fcis-29594	28	11	is	be	AUX
fcis-29594	28	12	employed	employ	VERB
fcis-29594	28	13	to	to	PART
fcis-29594	28	14	select	select	VERB
fcis-29594	28	15	the	the	DET
fcis-29594	28	16	most	most	ADV
fcis-29594	28	17	suitable	suitable	ADJ
fcis-29594	28	18	parameters	parameter	NOUN
fcis-29594	28	19	for	for	ADP
fcis-29594	28	20	the	the	DET
fcis-29594	28	21	arima	arima	PROPN
fcis-29594	28	22	model	model	NOUN
fcis-29594	28	23	,	,	PUNCT
fcis-29594	28	24	enhancing	enhance	VERB
fcis-29594	28	25	the	the	DET
fcis-29594	28	26	model	model	NOUN
fcis-29594	28	27	’s	’s	PART
fcis-29594	28	28	accuracy	accuracy	NOUN
fcis-29594	28	29	and	and	CCONJ
fcis-29594	28	30	computational	computational	ADJ
fcis-29594	28	31	efficiency	efficiency	NOUN
fcis-29594	28	32	[	[	X
fcis-29594	28	33	7	7	NUM
fcis-29594	28	34	]	]	PUNCT
fcis-29594	28	35	.	.	PUNCT
fcis-29594	29	1	bic	bic	PROPN
fcis-29594	29	2	is	be	AUX
fcis-29594	29	3	a	a	DET
fcis-29594	29	4	criterion	criterion	NOUN
fcis-29594	29	5	that	that	PRON
fcis-29594	29	6	balances	balance	VERB
fcis-29594	29	7	model	model	NOUN
fcis-29594	29	8	complexity	complexity	NOUN
fcis-29594	29	9	with	with	ADP
fcis-29594	29	10	goodness	goodness	NOUN
fcis-29594	29	11	of	of	ADP
fcis-29594	29	12	fit	fit	NOUN
fcis-29594	29	13	,	,	PUNCT
fcis-29594	29	14	ensuring	ensure	VERB
fcis-29594	29	15	that	that	SCONJ
fcis-29594	29	16	the	the	DET
fcis-29594	29	17	selected	select	VERB
fcis-29594	29	18	model	model	NOUN
fcis-29594	29	19	is	be	AUX
fcis-29594	29	20	not	not	PART
fcis-29594	29	21	overly	overly	ADV
fcis-29594	29	22	complex	complex	ADJ
fcis-29594	29	23	while	while	SCONJ
fcis-29594	29	24	still	still	ADV
fcis-29594	29	25	accurately	accurately	ADV
fcis-29594	29	26	capturing	capture	VERB
fcis-29594	29	27	the	the	DET
fcis-29594	29	28	essential	essential	ADJ
fcis-29594	29	29	patterns	pattern	NOUN
fcis-29594	29	30	in	in	ADP
fcis-29594	29	31	the	the	DET
fcis-29594	29	32	data	datum	NOUN
fcis-29594	29	33	.	.	PUNCT
fcis-29594	30	1	by	by	ADP
fcis-29594	30	2	using	use	VERB
fcis-29594	30	3	bic	bic	PROPN
fcis-29594	30	4	for	for	ADP
fcis-29594	30	5	parameter	parameter	NOUN
fcis-29594	30	6	selection	selection	NOUN
fcis-29594	30	7	,	,	PUNCT
fcis-29594	30	8	this	this	DET
fcis-29594	30	9	study	study	NOUN
fcis-29594	30	10	aims	aim	VERB
fcis-29594	30	11	to	to	PART
fcis-29594	30	12	optimize	optimize	VERB
fcis-29594	30	13	the	the	DET
fcis-29594	30	14	arima	arima	PROPN
fcis-29594	30	15	29	29	NUM
fcis-29594	30	16	model	model	NOUN
fcis-29594	30	17	to	to	PART
fcis-29594	30	18	produce	produce	VERB
fcis-29594	30	19	precise	precise	ADJ
fcis-29594	30	20	predictions	prediction	NOUN
fcis-29594	30	21	of	of	ADP
fcis-29594	30	22	energy	energy	NOUN
fcis-29594	30	23	consumption	consumption	NOUN
fcis-29594	30	24	and	and	CCONJ
fcis-29594	30	25	,	,	PUNCT
fcis-29594	30	26	by	by	ADP
fcis-29594	30	27	extension	extension	NOUN
fcis-29594	30	28	,	,	PUNCT
fcis-29594	30	29	insights	insight	NOUN
fcis-29594	30	30	into	into	ADP
fcis-29594	30	31	future	future	ADJ
fcis-29594	30	32	carbon	carbon	NOUN
fcis-29594	30	33	emission	emission	NOUN
fcis-29594	30	34	trends	trend	NOUN
fcis-29594	30	35	.	.	PUNCT
fcis-29594	31	1	to	to	PART
fcis-29594	31	2	evaluate	evaluate	VERB
fcis-29594	31	3	the	the	DET
fcis-29594	31	4	model	model	NOUN
fcis-29594	31	5	’s	’s	PART
fcis-29594	31	6	effectiveness	effectiveness	NOUN
fcis-29594	31	7	and	and	CCONJ
fcis-29594	31	8	predictive	predictive	ADJ
fcis-29594	31	9	accuracy	accuracy	NOUN
fcis-29594	31	10	,	,	PUNCT
fcis-29594	31	11	the	the	DET
fcis-29594	31	12	dataset	dataset	NOUN
fcis-29594	31	13	is	be	AUX
fcis-29594	31	14	divided	divide	VERB
fcis-29594	31	15	into	into	ADP
fcis-29594	31	16	a	a	DET
fcis-29594	31	17	training	training	NOUN
fcis-29594	31	18	set	set	NOUN
fcis-29594	31	19	and	and	CCONJ
fcis-29594	31	20	a	a	DET
fcis-29594	31	21	test	test	NOUN
fcis-29594	31	22	set	set	NOUN
fcis-29594	31	23	,	,	PUNCT
fcis-29594	31	24	with	with	ADP
fcis-29594	31	25	an	an	DET
fcis-29594	31	26	8:2	8:2	NUM
fcis-29594	31	27	ratio	ratio	NOUN
fcis-29594	31	28	.	.	PUNCT
fcis-29594	32	1	this	this	DET
fcis-29594	32	2	split	split	NOUN
fcis-29594	32	3	allows	allow	VERB
fcis-29594	32	4	the	the	DET
fcis-29594	32	5	arima	arima	PROPN
fcis-29594	32	6	model	model	NOUN
fcis-29594	32	7	to	to	PART
fcis-29594	32	8	learn	learn	VERB
fcis-29594	32	9	the	the	DET
fcis-29594	32	10	characteristics	characteristic	NOUN
fcis-29594	32	11	of	of	ADP
fcis-29594	32	12	the	the	DET
fcis-29594	32	13	dataset	dataset	NOUN
fcis-29594	32	14	through	through	ADP
fcis-29594	32	15	training	training	NOUN
fcis-29594	32	16	,	,	PUNCT
fcis-29594	32	17	while	while	SCONJ
fcis-29594	32	18	the	the	DET
fcis-29594	32	19	test	test	NOUN
fcis-29594	32	20	set	set	NOUN
fcis-29594	32	21	serves	serve	VERB
fcis-29594	32	22	to	to	PART
fcis-29594	32	23	validate	validate	VERB
fcis-29594	32	24	the	the	DET
fcis-29594	32	25	model	model	NOUN
fcis-29594	32	26	’s	’s	PART
fcis-29594	32	27	predictive	predictive	ADJ
fcis-29594	32	28	capabilities	capability	NOUN
fcis-29594	32	29	.	.	PUNCT
fcis-29594	33	1	the	the	DET
fcis-29594	33	2	division	division	NOUN
fcis-29594	33	3	of	of	ADP
fcis-29594	33	4	data	datum	NOUN
fcis-29594	33	5	into	into	ADP
fcis-29594	33	6	training	training	NOUN
fcis-29594	33	7	and	and	CCONJ
fcis-29594	33	8	testing	testing	NOUN
fcis-29594	33	9	segments	segment	NOUN
fcis-29594	33	10	is	be	AUX
fcis-29594	33	11	a	a	DET
fcis-29594	33	12	common	common	ADJ
fcis-29594	33	13	approach	approach	NOUN
fcis-29594	33	14	in	in	ADP
fcis-29594	33	15	predictive	predictive	ADJ
fcis-29594	33	16	modeling	modeling	NOUN
fcis-29594	33	17	,	,	PUNCT
fcis-29594	33	18	as	as	SCONJ
fcis-29594	33	19	it	it	PRON
fcis-29594	33	20	provides	provide	VERB
fcis-29594	33	21	a	a	DET
fcis-29594	33	22	reliable	reliable	ADJ
fcis-29594	33	23	means	mean	NOUN
fcis-29594	33	24	of	of	ADP
fcis-29594	33	25	assessing	assess	VERB
fcis-29594	33	26	model	model	NOUN
fcis-29594	33	27	performance	performance	NOUN
fcis-29594	33	28	and	and	CCONJ
fcis-29594	33	29	ensuring	ensure	VERB
fcis-29594	33	30	that	that	SCONJ
fcis-29594	33	31	the	the	DET
fcis-29594	33	32	model	model	NOUN
fcis-29594	33	33	generalizes	generalize	VERB
fcis-29594	33	34	well	well	ADV
fcis-29594	33	35	to	to	ADP
fcis-29594	33	36	new	new	ADJ
fcis-29594	33	37	data	datum	NOUN
fcis-29594	33	38	.	.	PUNCT
fcis-29594	34	1	the	the	DET
fcis-29594	34	2	findings	finding	NOUN
fcis-29594	34	3	of	of	ADP
fcis-29594	34	4	this	this	DET
fcis-29594	34	5	study	study	NOUN
fcis-29594	34	6	highlight	highlight	VERB
fcis-29594	34	7	the	the	DET
fcis-29594	34	8	arima	arima	PROPN
fcis-29594	34	9	model	model	NOUN
fcis-29594	34	10	’s	’s	PART
fcis-29594	34	11	effectiveness	effectiveness	NOUN
fcis-29594	34	12	in	in	ADP
fcis-29594	34	13	forecasting	forecast	VERB
fcis-29594	34	14	energy	energy	NOUN
fcis-29594	34	15	consumption	consumption	NOUN
fcis-29594	34	16	trends	trend	NOUN
fcis-29594	34	17	in	in	ADP
fcis-29594	34	18	high	high	ADJ
fcis-29594	34	19	-	-	PUNCT
fcis-29594	34	20	energy	energy	NOUN
fcis-29594	34	21	-	-	PUNCT
fcis-29594	34	22	consuming	consume	VERB
fcis-29594	34	23	workshops	workshop	NOUN
fcis-29594	34	24	,	,	PUNCT
fcis-29594	34	25	such	such	ADJ
fcis-29594	34	26	as	as	ADP
fcis-29594	34	27	the	the	DET
fcis-29594	34	28	sintered	sinter	VERB
fcis-29594	34	29	ndfeb	ndfeb	PROPN
fcis-29594	34	30	workshop	workshop	NOUN
fcis-29594	34	31	.	.	PUNCT
fcis-29594	35	1	the	the	DET
fcis-29594	35	2	model	model	NOUN
fcis-29594	35	3	’s	’s	PART
fcis-29594	35	4	predictions	prediction	NOUN
fcis-29594	35	5	not	not	PART
fcis-29594	35	6	only	only	ADV
fcis-29594	35	7	reveal	reveal	VERB
fcis-29594	35	8	underlying	underlie	VERB
fcis-29594	35	9	energy	energy	NOUN
fcis-29594	35	10	consumption	consumption	NOUN
fcis-29594	35	11	patterns	pattern	NOUN
fcis-29594	35	12	but	but	CCONJ
fcis-29594	35	13	also	also	ADV
fcis-29594	35	14	provide	provide	VERB
fcis-29594	35	15	actionable	actionable	ADJ
fcis-29594	35	16	insights	insight	NOUN
fcis-29594	35	17	for	for	ADP
fcis-29594	35	18	optimizing	optimize	VERB
fcis-29594	35	19	energy	energy	NOUN
fcis-29594	35	20	management	management	NOUN
fcis-29594	35	21	.	.	PUNCT
fcis-29594	36	1	such	such	ADJ
fcis-29594	36	2	insights	insight	NOUN
fcis-29594	36	3	are	be	AUX
fcis-29594	36	4	particularly	particularly	ADV
fcis-29594	36	5	valuable	valuable	ADJ
fcis-29594	36	6	for	for	ADP
fcis-29594	36	7	industries	industry	NOUN
fcis-29594	36	8	seeking	seek	VERB
fcis-29594	36	9	to	to	PART
fcis-29594	36	10	reduce	reduce	VERB
fcis-29594	36	11	their	their	PRON
fcis-29594	36	12	carbon	carbon	NOUN
fcis-29594	36	13	footprint	footprint	NOUN
fcis-29594	36	14	and	and	CCONJ
fcis-29594	36	15	transition	transition	NOUN
fcis-29594	36	16	to	to	ADP
fcis-29594	36	17	more	more	ADV
fcis-29594	36	18	sustainable	sustainable	ADJ
fcis-29594	36	19	practices	practice	NOUN
fcis-29594	36	20	.	.	PUNCT
fcis-29594	37	1	by	by	ADP
fcis-29594	37	2	improving	improve	VERB
fcis-29594	37	3	energy	energy	NOUN
fcis-29594	37	4	efficiency	efficiency	NOUN
fcis-29594	37	5	and	and	CCONJ
fcis-29594	37	6	reducing	reduce	VERB
fcis-29594	37	7	carbon	carbon	NOUN
fcis-29594	37	8	emissions	emission	NOUN
fcis-29594	37	9	,	,	PUNCT
fcis-29594	37	10	industries	industry	NOUN
fcis-29594	37	11	can	can	AUX
fcis-29594	37	12	contribute	contribute	VERB
fcis-29594	37	13	significantly	significantly	ADV
fcis-29594	37	14	to	to	ADP
fcis-29594	37	15	china	china	PROPN
fcis-29594	37	16	’s	’s	PART
fcis-29594	37	17	dual	dual	ADJ
fcis-29594	37	18	-	-	PUNCT
fcis-29594	37	19	carbon	carbon	NOUN
fcis-29594	37	20	goals	goal	NOUN
fcis-29594	37	21	,	,	PUNCT
fcis-29594	37	22	thereby	thereby	ADV
fcis-29594	37	23	supporting	support	VERB
fcis-29594	37	24	a	a	DET
fcis-29594	37	25	national	national	ADJ
fcis-29594	37	26	commitment	commitment	NOUN
fcis-29594	37	27	to	to	ADP
fcis-29594	37	28	environmental	environmental	ADJ
fcis-29594	37	29	sustainability	sustainability	NOUN
fcis-29594	37	30	and	and	CCONJ
fcis-29594	37	31	global	global	ADJ
fcis-29594	37	32	climate	climate	NOUN
fcis-29594	37	33	targets	target	NOUN
fcis-29594	37	34	.	.	PUNCT
fcis-29594	38	1	this	this	DET
fcis-29594	38	2	research	research	NOUN
fcis-29594	38	3	contributes	contribute	VERB
fcis-29594	38	4	to	to	ADP
fcis-29594	38	5	the	the	DET
fcis-29594	38	6	growing	grow	VERB
fcis-29594	38	7	body	body	NOUN
fcis-29594	38	8	of	of	ADP
fcis-29594	38	9	literature	literature	NOUN
fcis-29594	38	10	on	on	ADP
fcis-29594	38	11	energy	energy	NOUN
fcis-29594	38	12	consumption	consumption	NOUN
fcis-29594	38	13	forecasting	forecasting	NOUN
fcis-29594	38	14	and	and	CCONJ
fcis-29594	38	15	carbon	carbon	NOUN
fcis-29594	38	16	emission	emission	NOUN
fcis-29594	38	17	reduction	reduction	NOUN
fcis-29594	38	18	by	by	ADP
fcis-29594	38	19	applying	apply	VERB
fcis-29594	38	20	a	a	DET
fcis-29594	38	21	rigorous	rigorous	ADJ
fcis-29594	38	22	and	and	CCONJ
fcis-29594	38	23	data	data	NOUN
fcis-29594	38	24	-	-	PUNCT
fcis-29594	38	25	driven	drive	VERB
fcis-29594	38	26	approach	approach	NOUN
fcis-29594	38	27	to	to	ADP
fcis-29594	38	28	a	a	DET
fcis-29594	38	29	specific	specific	ADJ
fcis-29594	38	30	industrial	industrial	ADJ
fcis-29594	38	31	context	context	NOUN
fcis-29594	38	32	.	.	PUNCT
fcis-29594	39	1	the	the	DET
fcis-29594	39	2	findings	finding	NOUN
fcis-29594	39	3	demonstrate	demonstrate	VERB
fcis-29594	39	4	the	the	DET
fcis-29594	39	5	practical	practical	ADJ
fcis-29594	39	6	utility	utility	NOUN
fcis-29594	39	7	of	of	ADP
fcis-29594	39	8	arima	arima	PROPN
fcis-29594	39	9	in	in	ADP
fcis-29594	39	10	predicting	predict	VERB
fcis-29594	39	11	energy	energy	NOUN
fcis-29594	39	12	consumption	consumption	NOUN
fcis-29594	39	13	trends	trend	NOUN
fcis-29594	39	14	and	and	CCONJ
fcis-29594	39	15	underscore	underscore	VERB
fcis-29594	39	16	the	the	DET
fcis-29594	39	17	importance	importance	NOUN
fcis-29594	39	18	of	of	ADP
fcis-29594	39	19	adopting	adopt	VERB
fcis-29594	39	20	data	data	NOUN
fcis-29594	39	21	-	-	PUNCT
fcis-29594	39	22	driven	drive	VERB
fcis-29594	39	23	strategies	strategy	NOUN
fcis-29594	39	24	for	for	ADP
fcis-29594	39	25	achieving	achieve	VERB
fcis-29594	39	26	sustainability	sustainability	NOUN
fcis-29594	39	27	goals	goal	NOUN
fcis-29594	39	28	.	.	PUNCT
fcis-29594	40	1	by	by	ADP
fcis-29594	40	2	examining	examine	VERB
fcis-29594	40	3	the	the	DET
fcis-29594	40	4	case	case	NOUN
fcis-29594	40	5	of	of	ADP
fcis-29594	40	6	the	the	DET
fcis-29594	40	7	sintered	sinter	VERB
fcis-29594	40	8	ndfeb	ndfeb	PROPN
fcis-29594	40	9	workshop	workshop	NOUN
fcis-29594	40	10	,	,	PUNCT
fcis-29594	40	11	this	this	DET
fcis-29594	40	12	study	study	NOUN
fcis-29594	40	13	also	also	ADV
fcis-29594	40	14	provides	provide	VERB
fcis-29594	40	15	a	a	DET
fcis-29594	40	16	replicable	replicable	ADJ
fcis-29594	40	17	model	model	NOUN
fcis-29594	40	18	for	for	ADP
fcis-29594	40	19	other	other	ADJ
fcis-29594	40	20	high	high	ADJ
fcis-29594	40	21	-	-	PUNCT
fcis-29594	40	22	energy	energy	NOUN
fcis-29594	40	23	industries	industry	NOUN
fcis-29594	40	24	,	,	PUNCT
fcis-29594	40	25	offering	offer	VERB
fcis-29594	40	26	a	a	DET
fcis-29594	40	27	roadmap	roadmap	NOUN
fcis-29594	40	28	for	for	ADP
fcis-29594	40	29	carbon	carbon	NOUN
fcis-29594	40	30	reduction	reduction	NOUN
fcis-29594	40	31	initiatives	initiative	NOUN
fcis-29594	40	32	aligned	align	VERB
fcis-29594	40	33	with	with	ADP
fcis-29594	40	34	china	china	PROPN
fcis-29594	40	35	’s	’s	PART
fcis-29594	40	36	dual	dual	ADJ
fcis-29594	40	37	-	-	PUNCT
fcis-29594	40	38	carbon	carbon	NOUN
fcis-29594	40	39	strategy	strategy	NOUN
fcis-29594	40	40	.	.	PUNCT
fcis-29594	41	1	in	in	ADP
fcis-29594	41	2	summary	summary	NOUN
fcis-29594	41	3	,	,	PUNCT
fcis-29594	41	4	the	the	DET
fcis-29594	41	5	primary	primary	ADJ
fcis-29594	41	6	objective	objective	NOUN
fcis-29594	41	7	of	of	ADP
fcis-29594	41	8	this	this	DET
fcis-29594	41	9	study	study	NOUN
fcis-29594	41	10	is	be	AUX
fcis-29594	41	11	to	to	PART
fcis-29594	41	12	evaluate	evaluate	VERB
fcis-29594	41	13	the	the	DET
fcis-29594	41	14	potential	potential	NOUN
fcis-29594	41	15	of	of	ADP
fcis-29594	41	16	predictive	predictive	ADJ
fcis-29594	41	17	models	model	NOUN
fcis-29594	41	18	in	in	ADP
fcis-29594	41	19	contributing	contribute	VERB
fcis-29594	41	20	to	to	ADP
fcis-29594	41	21	energy	energy	NOUN
fcis-29594	41	22	optimization	optimization	NOUN
fcis-29594	41	23	and	and	CCONJ
fcis-29594	41	24	carbon	carbon	NOUN
fcis-29594	41	25	reduction	reduction	NOUN
fcis-29594	41	26	within	within	ADP
fcis-29594	41	27	energyintensive	energyintensive	ADJ
fcis-29594	41	28	industries	industry	NOUN
fcis-29594	41	29	.	.	PUNCT
fcis-29594	42	1	through	through	ADP
fcis-29594	42	2	a	a	DET
fcis-29594	42	3	detailed	detailed	ADJ
fcis-29594	42	4	analysis	analysis	NOUN
fcis-29594	42	5	of	of	ADP
fcis-29594	42	6	energy	energy	NOUN
fcis-29594	42	7	consumption	consumption	NOUN
fcis-29594	42	8	patterns	pattern	NOUN
fcis-29594	42	9	and	and	CCONJ
fcis-29594	42	10	the	the	DET
fcis-29594	42	11	application	application	NOUN
fcis-29594	42	12	of	of	ADP
fcis-29594	42	13	arima	arima	PROPN
fcis-29594	42	14	for	for	ADP
fcis-29594	42	15	forecasting	forecasting	NOUN
fcis-29594	42	16	,	,	PUNCT
fcis-29594	42	17	this	this	DET
fcis-29594	42	18	research	research	NOUN
fcis-29594	42	19	offers	offer	VERB
fcis-29594	42	20	practical	practical	ADJ
fcis-29594	42	21	insights	insight	NOUN
fcis-29594	42	22	that	that	PRON
fcis-29594	42	23	support	support	VERB
fcis-29594	42	24	the	the	DET
fcis-29594	42	25	dual	dual	ADJ
fcis-29594	42	26	-	-	PUNCT
fcis-29594	42	27	carbon	carbon	NOUN
fcis-29594	42	28	strategy	strategy	NOUN
fcis-29594	42	29	,	,	PUNCT
fcis-29594	42	30	providing	provide	VERB
fcis-29594	42	31	a	a	DET
fcis-29594	42	32	foundation	foundation	NOUN
fcis-29594	42	33	for	for	ADP
fcis-29594	42	34	future	future	ADJ
fcis-29594	42	35	research	research	NOUN
fcis-29594	42	36	and	and	CCONJ
fcis-29594	42	37	policy	policy	NOUN
fcis-29594	42	38	efforts	effort	NOUN
fcis-29594	42	39	focused	focus	VERB
fcis-29594	42	40	on	on	ADP
fcis-29594	42	41	sustainable	sustainable	ADJ
fcis-29594	42	42	development	development	NOUN
fcis-29594	42	43	and	and	CCONJ
fcis-29594	42	44	environmental	environmental	ADJ
fcis-29594	42	45	protection	protection	NOUN
fcis-29594	42	46	[	[	X
fcis-29594	42	47	8,9	8,9	NUM
fcis-29594	42	48	]	]	PUNCT
fcis-29594	42	49	.	.	PUNCT
fcis-29594	43	1	2	2	X
fcis-29594	43	2	.	.	PUNCT
fcis-29594	43	3	model	model	NOUN
fcis-29594	43	4	structure	structure	NOUN
fcis-29594	43	5	2.1	2.1	NUM
fcis-29594	43	6	.	.	PUNCT
fcis-29594	44	1	overall	overall	ADJ
fcis-29594	44	2	process	process	NOUN
fcis-29594	44	3	figure	figure	NOUN
fcis-29594	44	4	1	1	NUM
fcis-29594	44	5	illustrates	illustrate	VERB
fcis-29594	44	6	the	the	DET
fcis-29594	44	7	standard	standard	ADJ
fcis-29594	44	8	modeling	modeling	NOUN
fcis-29594	44	9	process	process	NOUN
fcis-29594	44	10	of	of	ADP
fcis-29594	44	11	the	the	DET
fcis-29594	44	12	arima	arima	PROPN
fcis-29594	44	13	model	model	NOUN
fcis-29594	44	14	in	in	ADP
fcis-29594	44	15	time	time	NOUN
fcis-29594	44	16	series	series	PROPN
fcis-29594	44	17	analysis	analysis	NOUN
fcis-29594	44	18	.	.	PUNCT
fcis-29594	45	1	first	first	ADV
fcis-29594	45	2	,	,	PUNCT
fcis-29594	45	3	time	time	NOUN
fcis-29594	45	4	series	series	PROPN
fcis-29594	45	5	data	data	PROPN
fcis-29594	45	6	is	be	AUX
fcis-29594	45	7	collected	collect	VERB
fcis-29594	45	8	and	and	CCONJ
fcis-29594	45	9	tested	test	VERB
fcis-29594	45	10	for	for	ADP
fcis-29594	45	11	stationarity	stationarity	NOUN
fcis-29594	45	12	;	;	PUNCT
fcis-29594	45	13	if	if	SCONJ
fcis-29594	45	14	the	the	DET
fcis-29594	45	15	data	data	NOUN
fcis-29594	45	16	is	be	AUX
fcis-29594	45	17	nonstationary	nonstationary	ADJ
fcis-29594	45	18	,	,	PUNCT
fcis-29594	45	19	differencing	differencing	NOUN
fcis-29594	45	20	is	be	AUX
fcis-29594	45	21	applied	apply	VERB
fcis-29594	45	22	to	to	PART
fcis-29594	45	23	achieve	achieve	VERB
fcis-29594	45	24	stationarity	stationarity	NOUN
fcis-29594	45	25	.	.	PUNCT
fcis-29594	46	1	next	next	ADJ
fcis-29594	46	2	,	,	PUNCT
fcis-29594	46	3	the	the	DET
fcis-29594	46	4	aic	aic	PROPN
fcis-29594	46	5	and	and	CCONJ
fcis-29594	46	6	bic	bic	PROPN
fcis-29594	46	7	criteria	criterion	NOUN
fcis-29594	46	8	are	be	AUX
fcis-29594	46	9	used	use	VERB
fcis-29594	46	10	to	to	PART
fcis-29594	46	11	select	select	VERB
fcis-29594	46	12	the	the	DET
fcis-29594	46	13	optimal	optimal	ADJ
fcis-29594	46	14	model	model	NOUN
fcis-29594	46	15	parameters	parameter	NOUN
fcis-29594	46	16	,	,	PUNCT
fcis-29594	46	17	and	and	CCONJ
fcis-29594	46	18	the	the	DET
fcis-29594	46	19	arima	arima	PROPN
fcis-29594	46	20	model	model	NOUN
fcis-29594	46	21	is	be	AUX
fcis-29594	46	22	constructed	construct	VERB
fcis-29594	46	23	.	.	PUNCT
fcis-29594	47	1	after	after	ADP
fcis-29594	47	2	model	model	NOUN
fcis-29594	47	3	construction	construction	NOUN
fcis-29594	47	4	,	,	PUNCT
fcis-29594	47	5	a	a	DET
fcis-29594	47	6	white	white	ADJ
fcis-29594	47	7	noise	noise	NOUN
fcis-29594	47	8	test	test	NOUN
fcis-29594	47	9	is	be	AUX
fcis-29594	47	10	performed	perform	VERB
fcis-29594	47	11	on	on	ADP
fcis-29594	47	12	the	the	DET
fcis-29594	47	13	residuals	residual	NOUN
fcis-29594	47	14	to	to	PART
fcis-29594	47	15	ensure	ensure	VERB
fcis-29594	47	16	that	that	SCONJ
fcis-29594	47	17	the	the	DET
fcis-29594	47	18	model	model	NOUN
fcis-29594	47	19	has	have	AUX
fcis-29594	47	20	effectively	effectively	ADV
fcis-29594	47	21	captured	capture	VERB
fcis-29594	47	22	the	the	DET
fcis-29594	47	23	data	data	NOUN
fcis-29594	47	24	patterns	pattern	NOUN
fcis-29594	47	25	.	.	PUNCT
fcis-29594	48	1	if	if	SCONJ
fcis-29594	48	2	the	the	DET
fcis-29594	48	3	residuals	residual	NOUN
fcis-29594	48	4	meet	meet	VERB
fcis-29594	48	5	the	the	DET
fcis-29594	48	6	white	white	ADJ
fcis-29594	48	7	noise	noise	PROPN
fcis-29594	48	8	assumption	assumption	NOUN
fcis-29594	48	9	,	,	PUNCT
fcis-29594	48	10	it	it	PRON
fcis-29594	48	11	indicates	indicate	VERB
fcis-29594	48	12	a	a	DET
fcis-29594	48	13	good	good	ADJ
fcis-29594	48	14	model	model	NOUN
fcis-29594	48	15	fit	fit	NOUN
fcis-29594	48	16	,	,	PUNCT
fcis-29594	48	17	allowing	allow	VERB
fcis-29594	48	18	the	the	DET
fcis-29594	48	19	process	process	NOUN
fcis-29594	48	20	to	to	PART
fcis-29594	48	21	move	move	VERB
fcis-29594	48	22	into	into	ADP
fcis-29594	48	23	the	the	DET
fcis-29594	48	24	final	final	ADJ
fcis-29594	48	25	forecasting	forecasting	NOUN
fcis-29594	48	26	stage	stage	NOUN
fcis-29594	48	27	.	.	PUNCT
fcis-29594	49	1	this	this	DET
fcis-29594	49	2	systematic	systematic	ADJ
fcis-29594	49	3	approach	approach	NOUN
fcis-29594	49	4	provides	provide	VERB
fcis-29594	49	5	scientific	scientific	ADJ
fcis-29594	49	6	guidance	guidance	NOUN
fcis-29594	49	7	for	for	ADP
fcis-29594	49	8	applying	apply	VERB
fcis-29594	49	9	the	the	DET
fcis-29594	49	10	arima	arima	PROPN
fcis-29594	49	11	model	model	NOUN
fcis-29594	49	12	,	,	PUNCT
fcis-29594	49	13	helping	help	VERB
fcis-29594	49	14	to	to	PART
fcis-29594	49	15	improve	improve	VERB
fcis-29594	49	16	forecasting	forecasting	NOUN
fcis-29594	49	17	accuracy	accuracy	NOUN
fcis-29594	49	18	and	and	CCONJ
fcis-29594	49	19	reliability	reliability	NOUN
fcis-29594	49	20	.	.	PUNCT
fcis-29594	50	1	figure	figure	NOUN
fcis-29594	50	2	1	1	NUM
fcis-29594	50	3	.	.	PUNCT
fcis-29594	51	1	overall	overall	ADJ
fcis-29594	51	2	structure	structure	NOUN
fcis-29594	51	3	diagram	diagram	NOUN
fcis-29594	51	4	the	the	DET
fcis-29594	51	5	arima	arima	PROPN
fcis-29594	51	6	model	model	NOUN
fcis-29594	51	7	,	,	PUNCT
fcis-29594	51	8	or	or	CCONJ
fcis-29594	51	9	autoregressive	autoregressive	ADJ
fcis-29594	51	10	integrated	integrated	ADJ
fcis-29594	51	11	moving	move	VERB
fcis-29594	51	12	average	average	ADJ
fcis-29594	51	13	model	model	NOUN
fcis-29594	51	14	,	,	PUNCT
fcis-29594	51	15	is	be	AUX
fcis-29594	51	16	used	use	VERB
fcis-29594	51	17	for	for	ADP
fcis-29594	51	18	time	time	NOUN
fcis-29594	51	19	series	series	PROPN
fcis-29594	51	20	forecasting	forecasting	NOUN
fcis-29594	51	21	and	and	CCONJ
fcis-29594	51	22	is	be	AUX
fcis-29594	51	23	particularly	particularly	ADV
fcis-29594	51	24	suited	suit	VERB
fcis-29594	51	25	for	for	ADP
fcis-29594	51	26	linear	linear	PROPN
fcis-29594	51	27	time	time	NOUN
fcis-29594	51	28	series	series	PROPN
fcis-29594	51	29	data	data	PROPN
fcis-29594	51	30	.	.	PUNCT
fcis-29594	52	1	it	it	PRON
fcis-29594	52	2	consists	consist	VERB
fcis-29594	52	3	of	of	ADP
fcis-29594	52	4	three	three	NUM
fcis-29594	52	5	main	main	ADJ
fcis-29594	52	6	components	component	NOUN
fcis-29594	52	7	:	:	PUNCT
fcis-29594	52	8	autoregressive	autoregressive	ADJ
fcis-29594	52	9	(	(	PUNCT
fcis-29594	52	10	ar	ar	NOUN
fcis-29594	52	11	)	)	PUNCT
fcis-29594	52	12	,	,	PUNCT
fcis-29594	52	13	integration	integration	NOUN
fcis-29594	52	14	(	(	PUNCT
fcis-29594	52	15	i	i	NOUN
fcis-29594	52	16	)	)	PUNCT
fcis-29594	52	17	,	,	PUNCT
fcis-29594	52	18	and	and	CCONJ
fcis-29594	52	19	moving	move	VERB
fcis-29594	52	20	average	average	ADJ
fcis-29594	52	21	(	(	PUNCT
fcis-29594	52	22	ma	ma	PROPN
fcis-29594	52	23	)	)	PUNCT
fcis-29594	52	24	.	.	PUNCT
fcis-29594	53	1	2.2	2.2	NUM
fcis-29594	53	2	.	.	PUNCT
fcis-29594	53	3	autoregressive	autoregressive	ADJ
fcis-29594	53	4	the	the	DET
fcis-29594	53	5	autoregressive	autoregressive	ADJ
fcis-29594	53	6	(	(	PUNCT
fcis-29594	53	7	ar	ar	NOUN
fcis-29594	53	8	)	)	PUNCT
fcis-29594	53	9	component	component	NOUN
fcis-29594	53	10	is	be	AUX
fcis-29594	53	11	a	a	DET
fcis-29594	53	12	key	key	ADJ
fcis-29594	53	13	part	part	NOUN
fcis-29594	53	14	of	of	ADP
fcis-29594	53	15	the	the	DET
fcis-29594	53	16	arima	arima	PROPN
fcis-29594	53	17	model	model	NOUN
fcis-29594	53	18	,	,	PUNCT
fcis-29594	53	19	using	use	VERB
fcis-29594	53	20	past	past	ADJ
fcis-29594	53	21	observations	observation	NOUN
fcis-29594	53	22	in	in	ADP
fcis-29594	53	23	the	the	DET
fcis-29594	53	24	time	time	NOUN
fcis-29594	53	25	series	series	NOUN
fcis-29594	53	26	to	to	PART
fcis-29594	53	27	predict	predict	VERB
fcis-29594	53	28	the	the	DET
fcis-29594	53	29	current	current	ADJ
fcis-29594	53	30	observation	observation	NOUN
fcis-29594	53	31	.	.	PUNCT
fcis-29594	54	1	below	below	ADP
fcis-29594	54	2	is	be	AUX
fcis-29594	54	3	a	a	DET
fcis-29594	54	4	detailed	detailed	ADJ
fcis-29594	54	5	description	description	NOUN
fcis-29594	54	6	of	of	ADP
fcis-29594	54	7	the	the	DET
fcis-29594	54	8	autoregressive	autoregressive	ADJ
fcis-29594	54	9	component	component	NOUN
fcis-29594	54	10	and	and	CCONJ
fcis-29594	54	11	its	its	PRON
fcis-29594	54	12	mathematical	mathematical	ADJ
fcis-29594	54	13	representation	representation	NOUN
fcis-29594	54	14	:	:	PUNCT
fcis-29594	54	15	1	1	NUM
fcis-29594	54	16	1	1	NUM
fcis-29594	54	17	2	2	NUM
fcis-29594	54	18	2	2	NUM
fcis-29594	54	19	t	t	NOUN
fcis-29594	54	20	t	t	NOUN
fcis-29594	54	21	t	t	PROPN
fcis-29594	54	22	p	p	PROPN
fcis-29594	54	23	t	t	PROPN
fcis-29594	55	1	p	p	X
fcis-29594	56	1	ty	ty	INTJ
fcis-29594	56	2	y	y	PROPN
fcis-29594	56	3	y	y	PROPN
fcis-29594	56	4	y	y	PROPN
fcis-29594	56	5			NOUN
fcis-29594	56	6			NOUN
fcis-29594	56	7			PROPN
fcis-29594	56	8			PROPN
fcis-29594	56	9			PUNCT
fcis-29594	56	10			PROPN
fcis-29594	56	11			VERB
fcis-29594	56	12			X
fcis-29594	56	13	(	(	PUNCT
fcis-29594	56	14	1	1	X
fcis-29594	56	15	)	)	PUNCT
fcis-29594	56	16	ty	ty	NOUN
fcis-29594	56	17	represents	represent	VERB
fcis-29594	56	18	the	the	DET
fcis-29594	56	19	observation	observation	NOUN
fcis-29594	56	20	at	at	ADP
fcis-29594	56	21	the	the	DET
fcis-29594	56	22	current	current	ADJ
fcis-29594	56	23	time	time	NOUN
fcis-29594	56	24	point	point	NOUN
fcis-29594	56	25	,	,	PUNCT
fcis-29594	56	26	1	1	NUM
fcis-29594	56	27	2	2	NUM
fcis-29594	56	28	,	,	PUNCT
fcis-29594	56	29	,	,	PUNCT
fcis-29594	56	30	,	,	PUNCT
fcis-29594	56	31	p	p	NOUN
fcis-29594	56	32			NOUN
fcis-29594	56	33			NOUN
fcis-29594	56	34	denotes	denote	VERB
fcis-29594	56	35	the	the	DET
fcis-29594	56	36	autoregressive	autoregressive	ADJ
fcis-29594	56	37	coefficients	coefficient	NOUN
fcis-29594	56	38	,	,	PUNCT
fcis-29594	56	39	indicating	indicate	VERB
fcis-29594	56	40	the	the	DET
fcis-29594	56	41	influence	influence	NOUN
fcis-29594	56	42	of	of	ADP
fcis-29594	56	43	each	each	DET
fcis-29594	56	44	lagged	lag	VERB
fcis-29594	56	45	value	value	NOUN
fcis-29594	56	46	on	on	ADP
fcis-29594	56	47	the	the	DET
fcis-29594	56	48	current	current	ADJ
fcis-29594	56	49	value	value	NOUN
fcis-29594	56	50	,	,	PUNCT
fcis-29594	56	51	and	and	CCONJ
fcis-29594	56	52	1	1	NUM
fcis-29594	56	53	2	2	NUM
fcis-29594	56	54	,	,	PUNCT
fcis-29594	56	55	,	,	PUNCT
fcis-29594	56	56	,	,	PUNCT
fcis-29594	56	57	t	t	PROPN
fcis-29594	56	58	t	t	PROPN
fcis-29594	56	59	t	t	PROPN
fcis-29594	56	60	py	py	PROPN
fcis-29594	56	61	y	y	PROPN
fcis-29594	56	62	y	y	PROPN
fcis-29594	56	63			PROPN
fcis-29594	56	64			NOUN
fcis-29594	56	65	represents	represent	VERB
fcis-29594	56	66	the	the	DET
fcis-29594	56	67	observations	observation	NOUN
fcis-29594	56	68	from	from	ADP
fcis-29594	56	69	p	p	PRON
fcis-29594	56	70	previous	previous	ADJ
fcis-29594	56	71	time	time	NOUN
fcis-29594	56	72	points	point	NOUN
fcis-29594	56	73	.	.	PUNCT
fcis-29594	57	1	t	t	ADV
fcis-29594	57	2	is	be	AUX
fcis-29594	57	3	the	the	DET
fcis-29594	57	4	white	white	ADJ
fcis-29594	57	5	noise	noise	NOUN
fcis-29594	57	6	error	error	NOUN
fcis-29594	57	7	term	term	NOUN
fcis-29594	57	8	,	,	PUNCT
fcis-29594	57	9	typically	typically	ADV
fcis-29594	57	10	assumed	assume	VERB
fcis-29594	57	11	to	to	PART
fcis-29594	57	12	follow	follow	VERB
fcis-29594	57	13	a	a	DET
fcis-29594	57	14	normal	normal	ADJ
fcis-29594	57	15	distribution	distribution	NOUN
fcis-29594	57	16	with	with	ADP
fcis-29594	57	17	a	a	DET
fcis-29594	57	18	mean	mean	NOUN
fcis-29594	57	19	of	of	ADP
fcis-29594	57	20	zero	zero	NUM
fcis-29594	57	21	,	,	PUNCT
fcis-29594	57	22	i.e.	i.e.	X
fcis-29594	57	23	,	,	PUNCT
fcis-29594	57	24	2~	2~	X
fcis-29594	57	25	(	(	PUNCT
fcis-29594	57	26	0	0	NUM
fcis-29594	57	27	,	,	PUNCT
fcis-29594	57	28	)	)	PUNCT
fcis-29594	57	29	t	t	PROPN
fcis-29594	57	30	n	n	PROPN
fcis-29594	57	31			PROPN
fcis-29594	57	32	.	.	PUNCT
fcis-29594	58	1	the	the	DET
fcis-29594	58	2	autoregressive	autoregressive	ADJ
fcis-29594	58	3	order	order	NOUN
fcis-29594	58	4	,	,	PUNCT
fcis-29594	58	5	p	p	NOUN
fcis-29594	58	6	specifies	specify	VERB
fcis-29594	58	7	the	the	DET
fcis-29594	58	8	number	number	NOUN
fcis-29594	58	9	of	of	ADP
fcis-29594	58	10	past	past	ADJ
fcis-29594	58	11	observations	observation	NOUN
fcis-29594	58	12	used	use	VERB
fcis-29594	58	13	for	for	ADP
fcis-29594	58	14	prediction	prediction	NOUN
fcis-29594	58	15	.	.	PUNCT
fcis-29594	59	1	2.3	2.3	NUM
fcis-29594	59	2	.	.	PUNCT
fcis-29594	60	1	integration	integration	NOUN
fcis-29594	60	2	the	the	DET
fcis-29594	60	3	basic	basic	ADJ
fcis-29594	60	4	idea	idea	NOUN
fcis-29594	60	5	of	of	ADP
fcis-29594	60	6	differencing	differencing	NOUN
fcis-29594	60	7	is	be	AUX
fcis-29594	60	8	to	to	PART
fcis-29594	60	9	calculate	calculate	VERB
fcis-29594	60	10	the	the	DET
fcis-29594	60	11	difference	difference	NOUN
fcis-29594	60	12	between	between	ADP
fcis-29594	60	13	consecutive	consecutive	ADJ
fcis-29594	60	14	observations	observation	NOUN
fcis-29594	60	15	in	in	ADP
fcis-29594	60	16	the	the	DET
fcis-29594	60	17	time	time	NOUN
fcis-29594	60	18	series	series	NOUN
fcis-29594	60	19	to	to	PART
fcis-29594	60	20	remove	remove	VERB
fcis-29594	60	21	trends	trend	NOUN
fcis-29594	60	22	or	or	CCONJ
fcis-29594	60	23	seasonality	seasonality	NOUN
fcis-29594	60	24	,	,	PUNCT
fcis-29594	60	25	making	make	VERB
fcis-29594	60	26	the	the	DET
fcis-29594	60	27	data	datum	NOUN
fcis-29594	60	28	stationary	stationary	VERB
fcis-29594	60	29	.	.	PUNCT
fcis-29594	61	1	the	the	DET
fcis-29594	61	2	order	order	NOUN
fcis-29594	61	3	of	of	ADP
fcis-29594	61	4	differencing	differencing	NOUN
fcis-29594	61	5	is	be	AUX
fcis-29594	61	6	represented	represent	VERB
fcis-29594	61	7	by	by	ADP
fcis-29594	61	8	the	the	DET
fcis-29594	61	9	parameter	parameter	NOUN
fcis-29594	61	10	d	d	PROPN
fcis-29594	61	11	,	,	PUNCT
fcis-29594	61	12	which	which	PRON
fcis-29594	61	13	specifies	specify	VERB
fcis-29594	61	14	how	how	SCONJ
fcis-29594	61	15	many	many	ADJ
fcis-29594	61	16	differencing	differencing	NOUN
fcis-29594	61	17	operations	operation	NOUN
fcis-29594	61	18	are	be	AUX
fcis-29594	61	19	performed	perform	VERB
fcis-29594	61	20	.	.	PUNCT
fcis-29594	62	1	typically	typically	ADV
fcis-29594	62	2	,	,	PUNCT
fcis-29594	62	3	the	the	DET
fcis-29594	62	4	differencing	difference	VERB
fcis-29594	62	5	process	process	NOUN
fcis-29594	62	6	can	can	AUX
fcis-29594	62	7	be	be	AUX
fcis-29594	62	8	expressed	express	VERB
fcis-29594	62	9	as	as	ADP
fcis-29594	62	10	the	the	DET
fcis-29594	62	11	following	follow	VERB
fcis-29594	62	12	formula	formula	NOUN
fcis-29594	62	13	:	:	PUNCT
fcis-29594	62	14	1	1	NUM
fcis-29594	62	15	t	t	NOUN
fcis-29594	62	16	t	t	X
fcis-29594	62	17	tx	tx	PROPN
fcis-29594	62	18	x	x	PROPN
fcis-29594	62	19	x	x	PROPN
fcis-29594	62	20			PROPN
fcis-29594	62	21			X
fcis-29594	62	22	(	(	PUNCT
fcis-29594	62	23	2	2	NUM
fcis-29594	62	24	)	)	PUNCT
fcis-29594	62	25	where	where	SCONJ
fcis-29594	62	26	tx	tx	PROPN
fcis-29594	62	27	is	be	AUX
fcis-29594	62	28	the	the	DET
fcis-29594	62	29	current	current	ADJ
fcis-29594	62	30	observation	observation	NOUN
fcis-29594	62	31	of	of	ADP
fcis-29594	62	32	the	the	DET
fcis-29594	62	33	original	original	ADJ
fcis-29594	62	34	time	time	NOUN
fcis-29594	62	35	series	series	NOUN
fcis-29594	62	36	,	,	PUNCT
fcis-29594	62	37	1tx	1tx	ADJ
fcis-29594	62	38			NOUN
fcis-29594	62	39	is	be	AUX
fcis-29594	62	40	the	the	DET
fcis-29594	62	41	observation	observation	NOUN
fcis-29594	62	42	from	from	ADP
fcis-29594	62	43	the	the	DET
fcis-29594	62	44	previous	previous	ADJ
fcis-29594	62	45	time	time	NOUN
fcis-29594	62	46	point	point	NOUN
fcis-29594	62	47	,	,	PUNCT
fcis-29594	62	48	and	and	CCONJ
fcis-29594	62	49	tx	tx	PROPN
fcis-29594	63	1			ADV
fcis-29594	63	2	is	be	AUX
fcis-29594	63	3	the	the	DET
fcis-29594	63	4	observation	observation	NOUN
fcis-29594	63	5	after	after	ADP
fcis-29594	63	6	one	one	NUM
fcis-29594	63	7	differencing	difference	VERB
fcis-29594	63	8	operation	operation	NOUN
fcis-29594	63	9	.	.	PUNCT
fcis-29594	64	1	2.4	2.4	NUM
fcis-29594	64	2	.	.	PUNCT
fcis-29594	65	1	moving	move	VERB
fcis-29594	65	2	average	average	ADJ
fcis-29594	65	3	the	the	DET
fcis-29594	65	4	moving	move	VERB
fcis-29594	65	5	average	average	ADJ
fcis-29594	65	6	(	(	PUNCT
fcis-29594	65	7	ma	ma	PROPN
fcis-29594	65	8	)	)	PUNCT
fcis-29594	65	9	component	component	NOUN
fcis-29594	65	10	corrects	correct	NOUN
fcis-29594	65	11	the	the	DET
fcis-29594	65	12	current	current	ADJ
fcis-29594	65	13	prediction	prediction	NOUN
fcis-29594	65	14	based	base	VERB
fcis-29594	65	15	on	on	ADP
fcis-29594	65	16	the	the	DET
fcis-29594	65	17	current	current	ADJ
fcis-29594	65	18	and	and	CCONJ
fcis-29594	65	19	past	past	ADJ
fcis-29594	65	20	error	error	NOUN
fcis-29594	65	21	terms	term	NOUN
fcis-29594	65	22	.	.	PUNCT
fcis-29594	66	1	the	the	DET
fcis-29594	66	2	formula	formula	NOUN
fcis-29594	66	3	is	be	AUX
fcis-29594	66	4	expressed	express	VERB
fcis-29594	66	5	as	as	ADP
fcis-29594	66	6	:	:	PUNCT
fcis-29594	66	7	30	30	NUM
fcis-29594	66	8	1	1	NUM
fcis-29594	66	9	1	1	NUM
fcis-29594	66	10	2	2	NUM
fcis-29594	66	11	2	2	NUM
fcis-29594	66	12	t	t	NOUN
fcis-29594	66	13	t	t	NOUN
fcis-29594	66	14	t	t	PROPN
fcis-29594	66	15	t	t	PROPN
fcis-29594	66	16	q	q	PROPN
fcis-29594	66	17	t	t	PROPN
fcis-29594	66	18	qy	qy	NOUN
fcis-29594	66	19			NOUN
fcis-29594	66	20			NOUN
fcis-29594	66	21			PROPN
fcis-29594	66	22			PROPN
fcis-29594	66	23			PROPN
fcis-29594	66	24			PROPN
fcis-29594	66	25			PUNCT
fcis-29594	66	26			PROPN
fcis-29594	66	27			PUNCT
fcis-29594	66	28			PROPN
fcis-29594	66	29			X
fcis-29594	66	30			X
fcis-29594	66	31			PUNCT
fcis-29594	66	32	(	(	PUNCT
fcis-29594	66	33	3	3	X
fcis-29594	66	34	)	)	PUNCT
fcis-29594	66	35			NOUN
fcis-29594	66	36	is	be	AUX
fcis-29594	66	37	the	the	DET
fcis-29594	66	38	mean	mean	NOUN
fcis-29594	66	39	of	of	ADP
fcis-29594	66	40	the	the	DET
fcis-29594	66	41	series	series	NOUN
fcis-29594	66	42	;	;	PUNCT
fcis-29594	66	43	1	1	NUM
fcis-29594	66	44	,	,	PUNCT
fcis-29594	66	45	,	,	PUNCT
fcis-29594	66	46	,	,	PUNCT
fcis-29594	66	47	t	t	PROPN
fcis-29594	66	48	t	t	PROPN
fcis-29594	66	49	t	t	PROPN
fcis-29594	66	50	q	q	PROPN
fcis-29594	66	51			NOUN
fcis-29594	66	52			NOUN
fcis-29594	66	53			PUNCT
fcis-29594	66	54	are	be	AUX
fcis-29594	66	55	the	the	DET
fcis-29594	66	56	error	error	NOUN
fcis-29594	66	57	terms	term	NOUN
fcis-29594	66	58	at	at	ADP
fcis-29594	66	59	the	the	DET
fcis-29594	66	60	current	current	NOUN
fcis-29594	66	61	and	and	CCONJ
fcis-29594	66	62	the	the	DET
fcis-29594	66	63	previous	previous	ADJ
fcis-29594	66	64	q	q	ADJ
fcis-29594	66	65	time	time	NOUN
fcis-29594	66	66	points	point	NOUN
fcis-29594	66	67	;	;	PUNCT
fcis-29594	66	68	1	1	NUM
fcis-29594	66	69	2	2	NUM
fcis-29594	66	70	,	,	PUNCT
fcis-29594	66	71	,	,	PUNCT
fcis-29594	66	72	,	,	PUNCT
fcis-29594	66	73	q	q	VERB
fcis-29594	66	74			PROPN
fcis-29594	67	1			PROPN
fcis-29594	67	2	are	be	AUX
fcis-29594	67	3	the	the	DET
fcis-29594	67	4	moving	move	VERB
fcis-29594	67	5	average	average	ADJ
fcis-29594	67	6	coefficients	coefficient	NOUN
fcis-29594	67	7	,	,	PUNCT
fcis-29594	67	8	indicating	indicate	VERB
fcis-29594	67	9	the	the	DET
fcis-29594	67	10	influence	influence	NOUN
fcis-29594	67	11	of	of	ADP
fcis-29594	67	12	different	different	ADJ
fcis-29594	67	13	error	error	NOUN
fcis-29594	67	14	terms	term	NOUN
fcis-29594	67	15	on	on	ADP
fcis-29594	67	16	the	the	DET
fcis-29594	67	17	current	current	ADJ
fcis-29594	67	18	value	value	NOUN
fcis-29594	67	19	;	;	PUNCT
fcis-29594	67	20	q	q	X
fcis-29594	67	21	is	be	AUX
fcis-29594	67	22	the	the	DET
fcis-29594	67	23	order	order	NOUN
fcis-29594	67	24	of	of	ADP
fcis-29594	67	25	the	the	DET
fcis-29594	67	26	moving	move	VERB
fcis-29594	67	27	average	average	NOUN
fcis-29594	67	28	.	.	PUNCT
fcis-29594	68	1	3	3	X
fcis-29594	68	2	.	.	NOUN
fcis-29594	68	3	results	result	NOUN
fcis-29594	68	4	and	and	CCONJ
fcis-29594	68	5	analysis	analysis	NOUN
fcis-29594	68	6	figure	figure	NOUN
fcis-29594	68	7	2	2	NUM
fcis-29594	68	8	illustrates	illustrate	VERB
fcis-29594	68	9	how	how	SCONJ
fcis-29594	68	10	the	the	DET
fcis-29594	68	11	autocorrelation	autocorrelation	NOUN
fcis-29594	68	12	function	function	NOUN
fcis-29594	68	13	changes	change	NOUN
fcis-29594	68	14	over	over	ADP
fcis-29594	68	15	time	time	NOUN
fcis-29594	68	16	.	.	PUNCT
fcis-29594	69	1	the	the	DET
fcis-29594	69	2	horizontal	horizontal	ADJ
fcis-29594	69	3	axis	axis	NOUN
fcis-29594	69	4	represents	represent	VERB
fcis-29594	69	5	the	the	DET
fcis-29594	69	6	time	time	NOUN
fcis-29594	69	7	lag	lag	NOUN
fcis-29594	69	8	,	,	PUNCT
fcis-29594	69	9	while	while	SCONJ
fcis-29594	69	10	the	the	DET
fcis-29594	69	11	vertical	vertical	ADJ
fcis-29594	69	12	axis	axis	NOUN
fcis-29594	69	13	denotes	denote	VERB
fcis-29594	69	14	the	the	DET
fcis-29594	69	15	autocorrelation	autocorrelation	NOUN
fcis-29594	69	16	coefficient	coefficient	NOUN
fcis-29594	69	17	.	.	PUNCT
fcis-29594	70	1	each	each	DET
fcis-29594	70	2	data	datum	NOUN
fcis-29594	70	3	point	point	NOUN
fcis-29594	70	4	corresponds	correspond	VERB
fcis-29594	70	5	to	to	ADP
fcis-29594	70	6	the	the	DET
fcis-29594	70	7	autocorrelation	autocorrelation	NOUN
fcis-29594	70	8	value	value	NOUN
fcis-29594	70	9	at	at	ADP
fcis-29594	70	10	a	a	DET
fcis-29594	70	11	specific	specific	ADJ
fcis-29594	70	12	time	time	NOUN
fcis-29594	70	13	lag	lag	NOUN
fcis-29594	70	14	.	.	PUNCT
fcis-29594	71	1	figure	figure	NOUN
fcis-29594	71	2	2	2	NUM
fcis-29594	71	3	.	.	NOUN
fcis-29594	71	4	autocorrelation	autocorrelation	NOUN
fcis-29594	71	5	function	function	NOUN
fcis-29594	71	6	over	over	ADP
fcis-29594	71	7	time	time	NOUN
fcis-29594	71	8	the	the	DET
fcis-29594	71	9	horizontal	horizontal	ADJ
fcis-29594	71	10	axis	axis	NOUN
fcis-29594	71	11	represents	represent	VERB
fcis-29594	71	12	the	the	DET
fcis-29594	71	13	time	time	NOUN
fcis-29594	71	14	lag	lag	NOUN
fcis-29594	71	15	,	,	PUNCT
fcis-29594	71	16	while	while	SCONJ
fcis-29594	71	17	the	the	DET
fcis-29594	71	18	vertical	vertical	ADJ
fcis-29594	71	19	axis	axis	NOUN
fcis-29594	71	20	shows	show	VERB
fcis-29594	71	21	the	the	DET
fcis-29594	71	22	autocorrelation	autocorrelation	NOUN
fcis-29594	71	23	coefficient	coefficient	NOUN
fcis-29594	71	24	.	.	PUNCT
fcis-29594	72	1	each	each	DET
fcis-29594	72	2	data	datum	NOUN
fcis-29594	72	3	point	point	NOUN
fcis-29594	72	4	corresponds	correspond	VERB
fcis-29594	72	5	to	to	ADP
fcis-29594	72	6	the	the	DET
fcis-29594	72	7	autocorrelation	autocorrelation	NOUN
fcis-29594	72	8	value	value	NOUN
fcis-29594	72	9	at	at	ADP
fcis-29594	72	10	a	a	DET
fcis-29594	72	11	specific	specific	ADJ
fcis-29594	72	12	time	time	NOUN
fcis-29594	72	13	lag.it	lag.it	PROPN
fcis-29594	72	14	is	be	AUX
fcis-29594	72	15	observed	observe	VERB
fcis-29594	72	16	that	that	SCONJ
fcis-29594	72	17	at	at	ADP
fcis-29594	72	18	a	a	DET
fcis-29594	72	19	time	time	NOUN
fcis-29594	72	20	lag	lag	NOUN
fcis-29594	72	21	of	of	ADP
fcis-29594	72	22	0	0	NUM
fcis-29594	72	23	,	,	PUNCT
fcis-29594	72	24	the	the	DET
fcis-29594	72	25	autocorrelation	autocorrelation	NOUN
fcis-29594	72	26	coefficient	coefficient	NOUN
fcis-29594	72	27	reaches	reach	VERB
fcis-29594	72	28	its	its	PRON
fcis-29594	72	29	maximum	maximum	ADJ
fcis-29594	72	30	value	value	NOUN
fcis-29594	72	31	,	,	PUNCT
fcis-29594	72	32	close	close	ADJ
fcis-29594	72	33	to	to	ADP
fcis-29594	72	34	1	1	NUM
fcis-29594	72	35	.	.	PUNCT
fcis-29594	73	1	this	this	PRON
fcis-29594	73	2	indicates	indicate	VERB
fcis-29594	73	3	a	a	DET
fcis-29594	73	4	high	high	ADJ
fcis-29594	73	5	degree	degree	NOUN
fcis-29594	73	6	of	of	ADP
fcis-29594	73	7	correlation	correlation	NOUN
fcis-29594	73	8	in	in	ADP
fcis-29594	73	9	the	the	DET
fcis-29594	73	10	data	datum	NOUN
fcis-29594	73	11	itself	itself	PRON
fcis-29594	73	12	,	,	PUNCT
fcis-29594	73	13	meaning	mean	VERB
fcis-29594	73	14	there	there	PRON
fcis-29594	73	15	is	be	VERB
fcis-29594	73	16	a	a	DET
fcis-29594	73	17	strong	strong	ADJ
fcis-29594	73	18	linear	linear	ADJ
fcis-29594	73	19	relationship	relationship	NOUN
fcis-29594	73	20	between	between	ADP
fcis-29594	73	21	the	the	DET
fcis-29594	73	22	current	current	ADJ
fcis-29594	73	23	value	value	NOUN
fcis-29594	73	24	and	and	CCONJ
fcis-29594	73	25	its	its	PRON
fcis-29594	73	26	previous	previous	ADJ
fcis-29594	73	27	value	value	NOUN
fcis-29594	73	28	.	.	PUNCT
fcis-29594	74	1	as	as	ADP
fcis-29594	74	2	the	the	DET
fcis-29594	74	3	time	time	NOUN
fcis-29594	74	4	lag	lag	NOUN
fcis-29594	74	5	increases	increase	NOUN
fcis-29594	74	6	,	,	PUNCT
fcis-29594	74	7	the	the	DET
fcis-29594	74	8	autocorrelation	autocorrelation	NOUN
fcis-29594	74	9	coefficient	coefficient	NOUN
fcis-29594	74	10	rapidly	rapidly	ADV
fcis-29594	74	11	declines	decline	VERB
fcis-29594	74	12	,	,	PUNCT
fcis-29594	74	13	indicating	indicate	VERB
fcis-29594	74	14	that	that	SCONJ
fcis-29594	74	15	the	the	DET
fcis-29594	74	16	correlation	correlation	NOUN
fcis-29594	74	17	between	between	ADP
fcis-29594	74	18	the	the	DET
fcis-29594	74	19	data	data	NOUN
fcis-29594	74	20	diminishes	diminish	VERB
fcis-29594	74	21	over	over	ADP
fcis-29594	74	22	time.at	time.at	NOUN
fcis-29594	74	23	later	later	ADJ
fcis-29594	74	24	time	time	NOUN
fcis-29594	74	25	lags	lag	VERB
fcis-29594	74	26	,	,	PUNCT
fcis-29594	74	27	the	the	DET
fcis-29594	74	28	autocorrelation	autocorrelation	NOUN
fcis-29594	74	29	coefficient	coefficient	NOUN
fcis-29594	74	30	shows	show	VERB
fcis-29594	74	31	some	some	DET
fcis-29594	74	32	fluctuations	fluctuation	NOUN
fcis-29594	74	33	but	but	CCONJ
fcis-29594	74	34	generally	generally	ADV
fcis-29594	74	35	remains	remain	VERB
fcis-29594	74	36	at	at	ADP
fcis-29594	74	37	a	a	DET
fcis-29594	74	38	lower	low	ADJ
fcis-29594	74	39	level	level	NOUN
fcis-29594	74	40	.	.	PUNCT
fcis-29594	75	1	this	this	PRON
fcis-29594	75	2	may	may	AUX
fcis-29594	75	3	suggest	suggest	VERB
fcis-29594	75	4	the	the	DET
fcis-29594	75	5	presence	presence	NOUN
fcis-29594	75	6	of	of	ADP
fcis-29594	75	7	some	some	DET
fcis-29594	75	8	degree	degree	NOUN
fcis-29594	75	9	of	of	ADP
fcis-29594	75	10	seasonality	seasonality	NOUN
fcis-29594	75	11	or	or	CCONJ
fcis-29594	75	12	cyclical	cyclical	ADJ
fcis-29594	75	13	behavior	behavior	NOUN
fcis-29594	75	14	in	in	ADP
fcis-29594	75	15	the	the	DET
fcis-29594	75	16	data	datum	NOUN
fcis-29594	75	17	,	,	PUNCT
fcis-29594	75	18	although	although	SCONJ
fcis-29594	75	19	the	the	DET
fcis-29594	75	20	correlation	correlation	NOUN
fcis-29594	75	21	is	be	AUX
fcis-29594	75	22	not	not	PART
fcis-29594	75	23	as	as	ADV
fcis-29594	75	24	pronounced	pronounce	VERB
fcis-29594	75	25	as	as	ADP
fcis-29594	75	26	in	in	ADP
fcis-29594	75	27	the	the	DET
fcis-29594	75	28	initial	initial	ADJ
fcis-29594	75	29	phase.the	phase.the	DET
fcis-29594	75	30	chart	chart	NOUN
fcis-29594	75	31	also	also	ADV
fcis-29594	75	32	includes	include	VERB
fcis-29594	75	33	confidence	confidence	NOUN
fcis-29594	75	34	intervals	interval	NOUN
fcis-29594	75	35	for	for	ADP
fcis-29594	75	36	the	the	DET
fcis-29594	75	37	autocorrelation	autocorrelation	NOUN
fcis-29594	75	38	coefficients	coefficient	NOUN
fcis-29594	75	39	,	,	PUNCT
fcis-29594	75	40	which	which	PRON
fcis-29594	75	41	help	help	VERB
fcis-29594	75	42	assess	assess	VERB
fcis-29594	75	43	the	the	DET
fcis-29594	75	44	reliability	reliability	NOUN
fcis-29594	75	45	of	of	ADP
fcis-29594	75	46	the	the	DET
fcis-29594	75	47	estimates	estimate	NOUN
fcis-29594	75	48	.	.	PUNCT
fcis-29594	76	1	in	in	ADP
fcis-29594	76	2	certain	certain	ADJ
fcis-29594	76	3	time	time	NOUN
fcis-29594	76	4	lags	lag	VERB
fcis-29594	76	5	,	,	PUNCT
fcis-29594	76	6	the	the	DET
fcis-29594	76	7	observed	observe	VERB
fcis-29594	76	8	autocorrelation	autocorrelation	NOUN
fcis-29594	76	9	coefficients	coefficient	NOUN
fcis-29594	76	10	fall	fall	VERB
fcis-29594	76	11	outside	outside	ADP
fcis-29594	76	12	of	of	ADP
fcis-29594	76	13	the	the	DET
fcis-29594	76	14	confidence	confidence	NOUN
fcis-29594	76	15	intervals	interval	NOUN
fcis-29594	76	16	,	,	PUNCT
fcis-29594	76	17	suggesting	suggest	VERB
fcis-29594	76	18	the	the	DET
fcis-29594	76	19	presence	presence	NOUN
fcis-29594	76	20	of	of	ADP
fcis-29594	76	21	outliers	outlier	NOUN
fcis-29594	76	22	or	or	CCONJ
fcis-29594	76	23	special	special	ADJ
fcis-29594	76	24	patterns	pattern	NOUN
fcis-29594	76	25	that	that	PRON
fcis-29594	76	26	may	may	AUX
fcis-29594	76	27	require	require	VERB
fcis-29594	76	28	further	further	ADJ
fcis-29594	76	29	investigation	investigation	NOUN
fcis-29594	76	30	.	.	PUNCT
fcis-29594	77	1	figure	figure	NOUN
fcis-29594	77	2	3	3	NUM
fcis-29594	77	3	illustrates	illustrate	VERB
fcis-29594	77	4	the	the	DET
fcis-29594	77	5	partial	partial	ADJ
fcis-29594	77	6	autocorrelation	autocorrelation	NOUN
fcis-29594	77	7	function	function	NOUN
fcis-29594	77	8	(	(	PUNCT
fcis-29594	77	9	pacf	pacf	PROPN
fcis-29594	77	10	)	)	PUNCT
fcis-29594	77	11	,	,	PUNCT
fcis-29594	77	12	which	which	PRON
fcis-29594	77	13	is	be	AUX
fcis-29594	77	14	used	use	VERB
fcis-29594	77	15	to	to	PART
fcis-29594	77	16	analyze	analyze	VERB
fcis-29594	77	17	the	the	DET
fcis-29594	77	18	partial	partial	ADJ
fcis-29594	77	19	correlation	correlation	NOUN
fcis-29594	77	20	at	at	ADP
fcis-29594	77	21	different	different	ADJ
fcis-29594	77	22	lags	lag	NOUN
fcis-29594	77	23	in	in	ADP
fcis-29594	77	24	the	the	DET
fcis-29594	77	25	time	time	NOUN
fcis-29594	77	26	series	series	NOUN
fcis-29594	77	27	.	.	PUNCT
fcis-29594	78	1	the	the	DET
fcis-29594	78	2	pacf	pacf	PROPN
fcis-29594	78	3	plot	plot	NOUN
fcis-29594	78	4	is	be	AUX
fcis-29594	78	5	a	a	DET
fcis-29594	78	6	key	key	ADJ
fcis-29594	78	7	tool	tool	NOUN
fcis-29594	78	8	for	for	ADP
fcis-29594	78	9	selecting	select	VERB
fcis-29594	78	10	the	the	DET
fcis-29594	78	11	autoregressive	autoregressive	ADJ
fcis-29594	78	12	order	order	NOUN
fcis-29594	78	13	(	(	PUNCT
fcis-29594	78	14	ar	ar	NOUN
fcis-29594	78	15	order	order	NOUN
fcis-29594	78	16	)	)	PUNCT
fcis-29594	78	17	when	when	SCONJ
fcis-29594	78	18	fitting	fit	VERB
fcis-29594	78	19	an	an	DET
fcis-29594	78	20	arima	arima	PROPN
fcis-29594	78	21	model	model	NOUN
fcis-29594	78	22	.	.	PUNCT
fcis-29594	79	1	figure	figure	VERB
fcis-29594	79	2	3	3	NUM
fcis-29594	79	3	.	.	PUNCT
fcis-29594	79	4	partial	partial	ADJ
fcis-29594	79	5	autocorrelation	autocorrelation	NOUN
fcis-29594	79	6	function	function	NOUN
fcis-29594	79	7	in	in	ADP
fcis-29594	79	8	the	the	DET
fcis-29594	79	9	pacf	pacf	NOUN
fcis-29594	79	10	plot	plot	NOUN
fcis-29594	79	11	,	,	PUNCT
fcis-29594	79	12	the	the	DET
fcis-29594	79	13	partial	partial	ADJ
fcis-29594	79	14	autocorrelation	autocorrelation	NOUN
fcis-29594	79	15	coefficient	coefficient	NOUN
fcis-29594	79	16	at	at	ADP
fcis-29594	79	17	lag	lag	NOUN
fcis-29594	79	18	0	0	NUM
fcis-29594	79	19	is	be	AUX
fcis-29594	79	20	always	always	ADV
fcis-29594	79	21	equal	equal	ADJ
fcis-29594	79	22	to	to	ADP
fcis-29594	79	23	1	1	NUM
fcis-29594	79	24	,	,	PUNCT
fcis-29594	79	25	as	as	SCONJ
fcis-29594	79	26	it	it	PRON
fcis-29594	79	27	represents	represent	VERB
fcis-29594	79	28	the	the	DET
fcis-29594	79	29	correlation	correlation	NOUN
fcis-29594	79	30	of	of	ADP
fcis-29594	79	31	the	the	DET
fcis-29594	79	32	series	series	NOUN
fcis-29594	79	33	with	with	ADP
fcis-29594	79	34	itself	itself	PRON
fcis-29594	79	35	.	.	PUNCT
fcis-29594	80	1	at	at	ADP
fcis-29594	80	2	lags	lag	NOUN
fcis-29594	80	3	1	1	NUM
fcis-29594	80	4	and	and	CCONJ
fcis-29594	80	5	2	2	NUM
fcis-29594	80	6	,	,	PUNCT
fcis-29594	80	7	the	the	DET
fcis-29594	80	8	partial	partial	ADJ
fcis-29594	80	9	autocorrelation	autocorrelation	NOUN
fcis-29594	80	10	coefficients	coefficient	NOUN
fcis-29594	80	11	significantly	significantly	ADV
fcis-29594	80	12	exceed	exceed	VERB
fcis-29594	80	13	the	the	DET
fcis-29594	80	14	confidence	confidence	NOUN
fcis-29594	80	15	intervals	interval	NOUN
fcis-29594	80	16	,	,	PUNCT
fcis-29594	80	17	indicating	indicate	VERB
fcis-29594	80	18	a	a	DET
fcis-29594	80	19	strong	strong	ADJ
fcis-29594	80	20	linear	linear	ADJ
fcis-29594	80	21	relationship	relationship	NOUN
fcis-29594	80	22	between	between	ADP
fcis-29594	80	23	these	these	DET
fcis-29594	80	24	lags	lag	NOUN
fcis-29594	80	25	and	and	CCONJ
fcis-29594	80	26	the	the	DET
fcis-29594	80	27	current	current	ADJ
fcis-29594	80	28	value	value	NOUN
fcis-29594	80	29	.	.	PUNCT
fcis-29594	81	1	starting	start	VERB
fcis-29594	81	2	from	from	ADP
fcis-29594	81	3	lag	lag	PROPN
fcis-29594	81	4	3	3	NUM
fcis-29594	81	5	,	,	PUNCT
fcis-29594	81	6	the	the	DET
fcis-29594	81	7	partial	partial	ADJ
fcis-29594	81	8	autocorrelation	autocorrelation	NOUN
fcis-29594	81	9	coefficients	coefficient	VERB
fcis-29594	81	10	rapidly	rapidly	ADV
fcis-29594	81	11	decay	decay	VERB
fcis-29594	81	12	and	and	CCONJ
fcis-29594	81	13	gradually	gradually	ADV
fcis-29594	81	14	approach	approach	VERB
fcis-29594	81	15	zero	zero	NUM
fcis-29594	81	16	,	,	PUNCT
fcis-29594	81	17	suggesting	suggest	VERB
fcis-29594	81	18	that	that	SCONJ
fcis-29594	81	19	partial	partial	ADJ
fcis-29594	81	20	autocorrelation	autocorrelation	NOUN
fcis-29594	81	21	at	at	ADP
fcis-29594	81	22	larger	large	ADJ
fcis-29594	81	23	lags	lag	NOUN
fcis-29594	81	24	becomes	become	VERB
fcis-29594	81	25	insignificant	insignificant	ADJ
fcis-29594	81	26	.	.	PUNCT
fcis-29594	82	1	typically	typically	ADV
fcis-29594	82	2	,	,	PUNCT
fcis-29594	82	3	the	the	DET
fcis-29594	82	4	pacf	pacf	NOUN
fcis-29594	82	5	plot	plot	NOUN
fcis-29594	82	6	is	be	AUX
fcis-29594	82	7	used	use	VERB
fcis-29594	82	8	to	to	PART
fcis-29594	82	9	determine	determine	VERB
fcis-29594	82	10	the	the	DET
fcis-29594	82	11	order	order	NOUN
fcis-29594	82	12	of	of	ADP
fcis-29594	82	13	the	the	DET
fcis-29594	82	14	autoregressive	autoregressive	ADJ
fcis-29594	82	15	(	(	PUNCT
fcis-29594	82	16	ar	ar	NOUN
fcis-29594	82	17	)	)	PUNCT
fcis-29594	82	18	part	part	NOUN
fcis-29594	82	19	.	.	PUNCT
fcis-29594	83	1	significant	significant	ADJ
fcis-29594	83	2	partial	partial	ADJ
fcis-29594	83	3	autocorrelations	autocorrelation	NOUN
fcis-29594	83	4	often	often	ADV
fcis-29594	83	5	decay	decay	VERB
fcis-29594	83	6	sharply	sharply	ADV
fcis-29594	83	7	after	after	ADP
fcis-29594	83	8	a	a	DET
fcis-29594	83	9	certain	certain	ADJ
fcis-29594	83	10	lag	lag	NOUN
fcis-29594	83	11	.	.	PUNCT
fcis-29594	84	1	this	this	DET
fcis-29594	84	2	pacf	pacf	NOUN
fcis-29594	84	3	plot	plot	NOUN
fcis-29594	84	4	shows	show	VERB
fcis-29594	84	5	significant	significant	ADJ
fcis-29594	84	6	partial	partial	ADJ
fcis-29594	84	7	autocorrelation	autocorrelation	NOUN
fcis-29594	84	8	at	at	ADP
fcis-29594	84	9	lags	lag	NOUN
fcis-29594	84	10	1	1	NUM
fcis-29594	84	11	and	and	CCONJ
fcis-29594	84	12	2	2	NUM
fcis-29594	84	13	,	,	PUNCT
fcis-29594	84	14	which	which	PRON
fcis-29594	84	15	then	then	ADV
fcis-29594	84	16	gradually	gradually	ADV
fcis-29594	84	17	decays	decay	VERB
fcis-29594	84	18	,	,	PUNCT
fcis-29594	84	19	indicating	indicate	VERB
fcis-29594	84	20	that	that	SCONJ
fcis-29594	84	21	the	the	DET
fcis-29594	84	22	time	time	NOUN
fcis-29594	84	23	series	series	PROPN
fcis-29594	84	24	may	may	AUX
fcis-29594	84	25	be	be	AUX
fcis-29594	84	26	wellsuited	wellsuite	VERB
fcis-29594	84	27	to	to	ADP
fcis-29594	84	28	a	a	DET
fcis-29594	84	29	lower	low	ADJ
fcis-29594	84	30	-	-	PUNCT
fcis-29594	84	31	order	order	NOUN
fcis-29594	84	32	autoregressive	autoregressive	ADJ
fcis-29594	84	33	model	model	NOUN
fcis-29594	84	34	(	(	PUNCT
fcis-29594	84	35	such	such	ADJ
fcis-29594	84	36	as	as	ADP
fcis-29594	84	37	ar(1	ar(1	PROPN
fcis-29594	84	38	)	)	PUNCT
fcis-29594	84	39	or	or	CCONJ
fcis-29594	84	40	ar(2	ar(2	NOUN
fcis-29594	84	41	)	)	PUNCT
fcis-29594	84	42	)	)	PUNCT
fcis-29594	84	43	.	.	PUNCT
fcis-29594	85	1	this	this	DET
fcis-29594	85	2	plot	plot	NOUN
fcis-29594	85	3	helps	help	VERB
fcis-29594	85	4	in	in	ADP
fcis-29594	85	5	selecting	select	VERB
fcis-29594	85	6	the	the	DET
fcis-29594	85	7	appropriate	appropriate	ADJ
fcis-29594	85	8	autoregressive	autoregressive	ADJ
fcis-29594	85	9	order	order	NOUN
fcis-29594	85	10	in	in	ADP
fcis-29594	85	11	the	the	DET
fcis-29594	85	12	arima	arima	PROPN
fcis-29594	85	13	model	model	NOUN
fcis-29594	85	14	,	,	PUNCT
fcis-29594	85	15	thereby	thereby	ADV
fcis-29594	85	16	improving	improve	VERB
fcis-29594	85	17	the	the	DET
fcis-29594	85	18	model	model	NOUN
fcis-29594	85	19	’s	’s	PART
fcis-29594	85	20	forecasting	forecasting	NOUN
fcis-29594	85	21	accuracy	accuracy	NOUN
fcis-29594	85	22	.	.	PUNCT
fcis-29594	86	1	figure	figure	VERB
fcis-29594	86	2	4	4	NUM
fcis-29594	86	3	presents	present	VERB
fcis-29594	86	4	the	the	DET
fcis-29594	86	5	variation	variation	NOUN
fcis-29594	86	6	of	of	ADP
fcis-29594	86	7	residuals	residual	NOUN
fcis-29594	86	8	from	from	ADP
fcis-29594	86	9	january	january	PROPN
fcis-29594	86	10	2023	2023	NUM
fcis-29594	86	11	to	to	ADP
fcis-29594	86	12	june	june	PROPN
fcis-29594	86	13	2024	2024	NUM
fcis-29594	86	14	.	.	PUNCT
fcis-29594	87	1	the	the	DET
fcis-29594	87	2	horizontal	horizontal	ADJ
fcis-29594	87	3	axis	axis	NOUN
fcis-29594	87	4	represents	represent	VERB
fcis-29594	87	5	the	the	DET
fcis-29594	87	6	time	time	NOUN
fcis-29594	87	7	dates	date	NOUN
fcis-29594	87	8	,	,	PUNCT
fcis-29594	87	9	and	and	CCONJ
fcis-29594	87	10	the	the	DET
fcis-29594	87	11	vertical	vertical	ADJ
fcis-29594	87	12	axis	axis	NOUN
fcis-29594	87	13	indicates	indicate	VERB
fcis-29594	87	14	the	the	DET
fcis-29594	87	15	magnitude	magnitude	NOUN
fcis-29594	87	16	of	of	ADP
fcis-29594	87	17	the	the	DET
fcis-29594	87	18	residuals	residual	NOUN
fcis-29594	87	19	.	.	PUNCT
fcis-29594	88	1	the	the	DET
fcis-29594	88	2	two	two	NUM
fcis-29594	88	3	curves	curve	NOUN
fcis-29594	88	4	in	in	ADP
fcis-29594	88	5	the	the	DET
fcis-29594	88	6	figure	figure	NOUN
fcis-29594	88	7	represent	represent	VERB
fcis-29594	88	8	the	the	DET
fcis-29594	88	9	residuals	residual	NOUN
fcis-29594	88	10	at	at	ADP
fcis-29594	88	11	each	each	DET
fcis-29594	88	12	time	time	NOUN
fcis-29594	88	13	point	point	NOUN
fcis-29594	88	14	for	for	ADP
fcis-29594	88	15	the	the	DET
fcis-29594	88	16	predicted	predict	VERB
fcis-29594	88	17	values	value	NOUN
fcis-29594	88	18	and	and	CCONJ
fcis-29594	88	19	the	the	DET
fcis-29594	88	20	actual	actual	ADJ
fcis-29594	88	21	observed	observed	ADJ
fcis-29594	88	22	values	value	NOUN
fcis-29594	88	23	.	.	PUNCT
fcis-29594	89	1	the	the	DET
fcis-29594	89	2	fluctuation	fluctuation	NOUN
fcis-29594	89	3	amplitude	amplitude	NOUN
fcis-29594	89	4	of	of	ADP
fcis-29594	89	5	the	the	DET
fcis-29594	89	6	curves	curve	NOUN
fcis-29594	89	7	is	be	AUX
fcis-29594	89	8	relatively	relatively	ADV
fcis-29594	89	9	small	small	ADJ
fcis-29594	89	10	,	,	PUNCT
fcis-29594	89	11	and	and	CCONJ
fcis-29594	89	12	there	there	PRON
fcis-29594	89	13	is	be	VERB
fcis-29594	89	14	no	no	DET
fcis-29594	89	15	significant	significant	ADJ
fcis-29594	89	16	time	time	NOUN
fcis-29594	89	17	trend	trend	NOUN
fcis-29594	89	18	,	,	PUNCT
fcis-29594	89	19	indicating	indicate	VERB
fcis-29594	89	20	that	that	SCONJ
fcis-29594	89	21	the	the	DET
fcis-29594	89	22	residuals	residual	NOUN
fcis-29594	89	23	do	do	AUX
fcis-29594	89	24	not	not	PART
fcis-29594	89	25	significantly	significantly	ADV
fcis-29594	89	26	increase	increase	VERB
fcis-29594	89	27	or	or	CCONJ
fcis-29594	89	28	decrease	decrease	VERB
fcis-29594	89	29	over	over	ADP
fcis-29594	89	30	time	time	NOUN
fcis-29594	89	31	.	.	PUNCT
fcis-29594	90	1	this	this	PRON
fcis-29594	90	2	suggests	suggest	VERB
fcis-29594	90	3	that	that	SCONJ
fcis-29594	90	4	the	the	DET
fcis-29594	90	5	model	model	NOUN
fcis-29594	90	6	fits	fit	VERB
fcis-29594	90	7	the	the	DET
fcis-29594	90	8	data	datum	NOUN
fcis-29594	90	9	well	well	ADV
fcis-29594	90	10	.	.	PUNCT
fcis-29594	91	1	in	in	ADP
fcis-29594	91	2	this	this	DET
fcis-29594	91	3	study	study	NOUN
fcis-29594	91	4	,	,	PUNCT
fcis-29594	91	5	we	we	PRON
fcis-29594	91	6	evaluate	evaluate	VERB
fcis-29594	91	7	the	the	DET
fcis-29594	91	8	normality	normality	NOUN
fcis-29594	91	9	assumption	assumption	NOUN
fcis-29594	91	10	of	of	ADP
fcis-29594	91	11	the	the	DET
fcis-29594	91	12	data	datum	NOUN
fcis-29594	91	13	by	by	ADP
fcis-29594	91	14	plotting	plot	VERB
fcis-29594	91	15	a	a	DET
fcis-29594	91	16	comparison	comparison	NOUN
fcis-29594	91	17	of	of	ADP
fcis-29594	91	18	sample	sample	NOUN
fcis-29594	91	19	quantiles	quantile	NOUN
fcis-29594	91	20	with	with	ADP
fcis-29594	91	21	theoretical	theoretical	ADJ
fcis-29594	91	22	normal	normal	ADJ
fcis-29594	91	23	distribution	distribution	NOUN
fcis-29594	91	24	quantiles	quantile	NOUN
fcis-29594	91	25	.	.	PUNCT
fcis-29594	92	1	the	the	DET
fcis-29594	92	2	horizontal	horizontal	ADJ
fcis-29594	92	3	axis	axis	NOUN
fcis-29594	92	4	represents	represent	VERB
fcis-29594	92	5	the	the	DET
fcis-29594	92	6	quantiles	quantile	NOUN
fcis-29594	92	7	of	of	ADP
fcis-29594	92	8	the	the	DET
fcis-29594	92	9	theoretical	theoretical	ADJ
fcis-29594	92	10	normal	normal	ADJ
fcis-29594	92	11	distribution	distribution	NOUN
fcis-29594	92	12	,	,	PUNCT
fcis-29594	92	13	while	while	SCONJ
fcis-29594	92	14	the	the	DET
fcis-29594	92	15	vertical	vertical	ADJ
fcis-29594	92	16	axis	axis	NOUN
fcis-29594	92	17	represents	represent	VERB
fcis-29594	92	18	the	the	DET
fcis-29594	92	19	quantiles	quantile	NOUN
fcis-29594	92	20	of	of	ADP
fcis-29594	92	21	the	the	DET
fcis-29594	92	22	sample	sample	NOUN
fcis-29594	92	23	data	datum	NOUN
fcis-29594	92	24	.	.	PUNCT
fcis-29594	93	1	each	each	DET
fcis-29594	93	2	point	point	NOUN
fcis-29594	93	3	in	in	ADP
fcis-29594	93	4	the	the	DET
fcis-29594	93	5	plot	plot	NOUN
fcis-29594	93	6	corresponds	correspond	VERB
fcis-29594	93	7	to	to	ADP
fcis-29594	93	8	the	the	DET
fcis-29594	93	9	relationship	relationship	NOUN
fcis-29594	93	10	between	between	ADP
fcis-29594	93	11	a	a	DET
fcis-29594	93	12	sample	sample	NOUN
fcis-29594	93	13	value	value	NOUN
fcis-29594	93	14	and	and	CCONJ
fcis-29594	93	15	its	its	PRON
fcis-29594	93	16	corresponding	corresponding	ADJ
fcis-29594	93	17	normal	normal	ADJ
fcis-29594	93	18	distribution	distribution	NOUN
fcis-29594	93	19	quantile	quantile	NOUN
fcis-29594	93	20	.	.	PUNCT
fcis-29594	94	1	from	from	ADP
fcis-29594	94	2	the	the	DET
fcis-29594	94	3	plot	plot	NOUN
fcis-29594	94	4	,	,	PUNCT
fcis-29594	94	5	it	it	PRON
fcis-29594	94	6	is	be	AUX
fcis-29594	94	7	evident	evident	ADJ
fcis-29594	94	8	that	that	SCONJ
fcis-29594	94	9	most	most	ADJ
fcis-29594	94	10	points	point	NOUN
fcis-29594	94	11	are	be	AUX
fcis-29594	94	12	concentrated	concentrate	VERB
fcis-29594	94	13	around	around	ADP
fcis-29594	94	14	the	the	DET
fcis-29594	94	15	line	line	NOUN
fcis-29594	94	16	$	$	SYM
fcis-29594	94	17	y	y	NOUN
fcis-29594	94	18	=	=	SYM
fcis-29594	94	19	x$	x$	ADJ
fcis-29594	94	20	,	,	PUNCT
fcis-29594	94	21	suggesting	suggest	VERB
fcis-29594	94	22	that	that	SCONJ
fcis-29594	94	23	the	the	DET
fcis-29594	94	24	sample	sample	NOUN
fcis-29594	94	25	data	datum	NOUN
fcis-29594	94	26	largely	largely	ADV
fcis-29594	94	27	conform	conform	VERB
fcis-29594	94	28	to	to	ADP
fcis-29594	94	29	the	the	DET
fcis-29594	94	30	assumption	assumption	NOUN
fcis-29594	94	31	of	of	ADP
fcis-29594	94	32	normal	normal	ADJ
fcis-29594	94	33	distribution	distribution	NOUN
fcis-29594	94	34	.	.	PUNCT
fcis-29594	95	1	however	however	ADV
fcis-29594	95	2	,	,	PUNCT
fcis-29594	95	3	it	it	PRON
fcis-29594	95	4	is	be	AUX
fcis-29594	95	5	worth	worth	ADJ
fcis-29594	95	6	noting	note	VERB
fcis-29594	95	7	that	that	SCONJ
fcis-29594	95	8	some	some	DET
fcis-29594	95	9	points	point	NOUN
fcis-29594	95	10	deviate	deviate	VERB
fcis-29594	95	11	further	far	ADV
fcis-29594	95	12	from	from	ADP
fcis-29594	95	13	the	the	DET
fcis-29594	95	14	line	line	NOUN
fcis-29594	95	15	,	,	PUNCT
fcis-29594	95	16	particularly	particularly	ADV
fcis-29594	95	17	at	at	ADP
fcis-29594	95	18	extreme	extreme	ADJ
fcis-29594	95	19	quantiles	quantile	NOUN
fcis-29594	95	20	.	.	PUNCT
fcis-29594	96	1	this	this	PRON
fcis-29594	96	2	may	may	AUX
fcis-29594	96	3	indicate	indicate	VERB
fcis-29594	96	4	skewness	skewness	NOUN
fcis-29594	96	5	or	or	CCONJ
fcis-29594	96	6	inconsistency	inconsistency	NOUN
fcis-29594	96	7	in	in	ADP
fcis-29594	96	8	the	the	DET
fcis-29594	96	9	data	datum	NOUN
fcis-29594	96	10	for	for	ADP
fcis-29594	96	11	certain	certain	ADJ
fcis-29594	96	12	extreme	extreme	ADJ
fcis-29594	96	13	values	value	NOUN
fcis-29594	96	14	.	.	PUNCT
fcis-29594	97	1	the	the	DET
fcis-29594	97	2	distribution	distribution	NOUN
fcis-29594	97	3	of	of	ADP
fcis-29594	97	4	the	the	DET
fcis-29594	97	5	data	datum	NOUN
fcis-29594	97	6	in	in	ADP
fcis-29594	97	7	figure	figure	NOUN
fcis-29594	97	8	6	6	NUM
fcis-29594	97	9	clearly	clearly	ADV
fcis-29594	97	10	shows	show	VERB
fcis-29594	97	11	skewness	skewness	NOUN
fcis-29594	97	12	,	,	PUNCT
fcis-29594	97	13	with	with	ADP
fcis-29594	97	14	most	most	ADJ
fcis-29594	97	15	of	of	ADP
fcis-29594	97	16	the	the	DET
fcis-29594	97	17	data	datum	NOUN
fcis-29594	97	18	concentrated	concentrate	VERB
fcis-29594	97	19	between	between	ADP
fcis-29594	97	20	0	0	NUM
fcis-29594	97	21	and	and	CCONJ
fcis-29594	97	22	25,000	25,000	NUM
fcis-29594	97	23	,	,	PUNCT
fcis-29594	97	24	while	while	SCONJ
fcis-29594	97	25	very	very	ADV
fcis-29594	97	26	few	few	ADJ
fcis-29594	97	27	data	datum	NOUN
fcis-29594	97	28	points	point	NOUN
fcis-29594	97	29	fall	fall	VERB
fcis-29594	97	30	in	in	ADP
fcis-29594	97	31	the	the	DET
fcis-29594	97	32	negative	negative	ADJ
fcis-29594	97	33	range	range	NOUN
fcis-29594	97	34	or	or	CCONJ
fcis-29594	97	35	above	above	ADP
fcis-29594	97	36	75,000	75,000	NUM
fcis-29594	97	37	.	.	PUNCT
fcis-29594	98	1	the	the	DET
fcis-29594	98	2	highest	high	ADJ
fcis-29594	98	3	peak	peak	NOUN
fcis-29594	98	4	appears	appear	VERB
fcis-29594	98	5	in	in	ADP
fcis-29594	98	6	the	the	DET
fcis-29594	98	7	0	0	NUM
fcis-29594	98	8	-	-	SYM
fcis-29594	98	9	25,000	25,000	NUM
fcis-29594	98	10	range	range	NOUN
fcis-29594	98	11	,	,	PUNCT
fcis-29594	98	12	indicating	indicate	VERB
fcis-29594	98	13	that	that	SCONJ
fcis-29594	98	14	this	this	DET
fcis-29594	98	15	range	range	NOUN
fcis-29594	98	16	contains	contain	VERB
fcis-29594	98	17	the	the	DET
fcis-29594	98	18	most	most	ADV
fcis-29594	98	19	frequent	frequent	ADJ
fcis-29594	98	20	31	31	NUM
fcis-29594	98	21	data	datum	NOUN
fcis-29594	98	22	points	point	NOUN
fcis-29594	98	23	,	,	PUNCT
fcis-29594	98	24	with	with	ADP
fcis-29594	98	25	49	49	NUM
fcis-29594	98	26	occurrences	occurrence	NOUN
fcis-29594	98	27	.	.	PUNCT
fcis-29594	99	1	this	this	PRON
fcis-29594	99	2	could	could	AUX
fcis-29594	99	3	be	be	AUX
fcis-29594	99	4	due	due	ADJ
fcis-29594	99	5	to	to	ADP
fcis-29594	99	6	certain	certain	ADJ
fcis-29594	99	7	specific	specific	ADJ
fcis-29594	99	8	factors	factor	NOUN
fcis-29594	99	9	causing	cause	VERB
fcis-29594	99	10	this	this	DET
fcis-29594	99	11	concentration	concentration	NOUN
fcis-29594	99	12	,	,	PUNCT
fcis-29594	99	13	such	such	ADJ
fcis-29594	99	14	as	as	ADP
fcis-29594	99	15	economic	economic	ADJ
fcis-29594	99	16	activity	activity	NOUN
fcis-29594	99	17	,	,	PUNCT
fcis-29594	99	18	policy	policy	NOUN
fcis-29594	99	19	impacts	impact	NOUN
fcis-29594	99	20	,	,	PUNCT
fcis-29594	99	21	etc	etc	X
fcis-29594	99	22	.	.	X
fcis-29594	99	23	the	the	DET
fcis-29594	99	24	occurrence	occurrence	NOUN
fcis-29594	99	25	of	of	ADP
fcis-29594	99	26	data	datum	NOUN
fcis-29594	99	27	in	in	ADP
fcis-29594	99	28	the	the	DET
fcis-29594	99	29	negative	negative	ADJ
fcis-29594	99	30	range	range	NOUN
fcis-29594	99	31	(	(	PUNCT
fcis-29594	99	32	-75,000	-75,000	INTJ
fcis-29594	99	33	to	to	PART
fcis-29594	99	34	0	0	NUM
fcis-29594	99	35	)	)	PUNCT
fcis-29594	99	36	is	be	AUX
fcis-29594	99	37	rare	rare	ADJ
fcis-29594	99	38	,	,	PUNCT
fcis-29594	99	39	with	with	ADP
fcis-29594	99	40	only	only	ADV
fcis-29594	99	41	4	4	NUM
fcis-29594	99	42	instances	instance	NOUN
fcis-29594	99	43	,	,	PUNCT
fcis-29594	99	44	and	and	CCONJ
fcis-29594	99	45	data	datum	NOUN
fcis-29594	99	46	in	in	ADP
fcis-29594	99	47	the	the	DET
fcis-29594	99	48	tail	tail	NOUN
fcis-29594	99	49	of	of	ADP
fcis-29594	99	50	the	the	DET
fcis-29594	99	51	positive	positive	ADJ
fcis-29594	99	52	range	range	NOUN
fcis-29594	99	53	(	(	PUNCT
fcis-29594	99	54	above	above	ADP
fcis-29594	99	55	75,000	75,000	NUM
fcis-29594	99	56	)	)	PUNCT
fcis-29594	99	57	also	also	ADV
fcis-29594	99	58	appears	appear	VERB
fcis-29594	99	59	infrequently	infrequently	ADV
fcis-29594	99	60	,	,	PUNCT
fcis-29594	99	61	with	with	ADP
fcis-29594	99	62	only	only	ADV
fcis-29594	99	63	5	5	NUM
fcis-29594	99	64	occurrences	occurrence	NOUN
fcis-29594	99	65	.	.	PUNCT
fcis-29594	100	1	this	this	PRON
fcis-29594	100	2	may	may	AUX
fcis-29594	100	3	suggest	suggest	VERB
fcis-29594	100	4	the	the	DET
fcis-29594	100	5	presence	presence	NOUN
fcis-29594	100	6	of	of	ADP
fcis-29594	100	7	extreme	extreme	ADJ
fcis-29594	100	8	values	value	NOUN
fcis-29594	100	9	or	or	CCONJ
fcis-29594	100	10	outliers	outlier	NOUN
fcis-29594	100	11	,	,	PUNCT
fcis-29594	100	12	which	which	PRON
fcis-29594	100	13	warrant	warrant	VERB
fcis-29594	100	14	further	further	ADJ
fcis-29594	100	15	investigation	investigation	NOUN
fcis-29594	100	16	into	into	ADP
fcis-29594	100	17	their	their	PRON
fcis-29594	100	18	underlying	underlie	VERB
fcis-29594	100	19	causes	cause	NOUN
fcis-29594	100	20	.	.	PUNCT
fcis-29594	101	1	figure	figure	VERB
fcis-29594	101	2	4	4	NUM
fcis-29594	101	3	.	.	PUNCT
fcis-29594	101	4	residual	residual	ADJ
fcis-29594	101	5	plot	plot	NOUN
fcis-29594	101	6	figure	figure	NOUN
fcis-29594	101	7	5	5	NUM
fcis-29594	101	8	.	.	PUNCT
fcis-29594	102	1	q	q	X
fcis-29594	102	2	-	-	PUNCT
fcis-29594	102	3	q	q	ADJ
fcis-29594	102	4	graph	graph	NOUN
fcis-29594	102	5	figure	figure	NOUN
fcis-29594	102	6	6	6	NUM
fcis-29594	102	7	.	.	PUNCT
fcis-29594	102	8	histogram	histogram	NOUN
fcis-29594	102	9	graph	graph	NOUN
fcis-29594	102	10	figure	figure	NOUN
fcis-29594	102	11	7	7	NUM
fcis-29594	102	12	illustrates	illustrate	VERB
fcis-29594	102	13	the	the	DET
fcis-29594	102	14	trends	trend	NOUN
fcis-29594	102	15	of	of	ADP
fcis-29594	102	16	three	three	NUM
fcis-29594	102	17	different	different	ADJ
fcis-29594	102	18	datasets	dataset	NOUN
fcis-29594	102	19	:	:	PUNCT
fcis-29594	102	20	actual	actual	ADJ
fcis-29594	102	21	values	value	NOUN
fcis-29594	102	22	(	(	PUNCT
fcis-29594	102	23	in	in	ADP
fcis-29594	102	24	blue	blue	ADJ
fcis-29594	102	25	)	)	PUNCT
fcis-29594	102	26	,	,	PUNCT
fcis-29594	102	27	test	test	NOUN
fcis-29594	102	28	values	value	NOUN
fcis-29594	102	29	(	(	PUNCT
fcis-29594	102	30	in	in	ADP
fcis-29594	102	31	orange	orange	NOUN
fcis-29594	102	32	)	)	PUNCT
fcis-29594	102	33	,	,	PUNCT
fcis-29594	102	34	and	and	CCONJ
fcis-29594	102	35	predicted	predict	VERB
fcis-29594	102	36	values	value	NOUN
fcis-29594	102	37	(	(	PUNCT
fcis-29594	102	38	in	in	ADP
fcis-29594	102	39	green	green	NOUN
fcis-29594	102	40	)	)	PUNCT
fcis-29594	102	41	.	.	PUNCT
fcis-29594	103	1	the	the	DET
fcis-29594	103	2	horizontal	horizontal	ADJ
fcis-29594	103	3	axis	axis	NOUN
fcis-29594	103	4	represents	represent	VERB
fcis-29594	103	5	time	time	NOUN
fcis-29594	103	6	,	,	PUNCT
fcis-29594	103	7	spanning	span	VERB
fcis-29594	103	8	from	from	ADP
fcis-29594	103	9	january	january	PROPN
fcis-29594	103	10	2023	2023	NUM
fcis-29594	103	11	to	to	ADP
fcis-29594	103	12	october	october	PROPN
fcis-29594	103	13	2024	2024	NUM
fcis-29594	103	14	,	,	PUNCT
fcis-29594	103	15	while	while	SCONJ
fcis-29594	103	16	the	the	DET
fcis-29594	103	17	vertical	vertical	ADJ
fcis-29594	103	18	axis	axis	NOUN
fcis-29594	103	19	represents	represent	VERB
fcis-29594	103	20	power	power	NOUN
fcis-29594	103	21	in	in	ADP
fcis-29594	103	22	kilowatts	kilowatts	PROPN
fcis-29594	103	23	(	(	PUNCT
fcis-29594	103	24	kw	kw	NOUN
fcis-29594	103	25	)	)	PUNCT
fcis-29594	103	26	,	,	PUNCT
fcis-29594	103	27	with	with	ADP
fcis-29594	103	28	a	a	DET
fcis-29594	103	29	range	range	NOUN
fcis-29594	103	30	from	from	ADP
fcis-29594	103	31	0	0	NUM
fcis-29594	103	32	to	to	ADP
fcis-29594	103	33	140,000	140,000	NUM
fcis-29594	103	34	kw	kw	NOUN
fcis-29594	103	35	.	.	PUNCT
fcis-29594	104	1	figure	figure	NOUN
fcis-29594	104	2	7	7	NUM
fcis-29594	104	3	.	.	PUNCT
fcis-29594	104	4	prediction	prediction	NOUN
fcis-29594	104	5	results	result	NOUN
fcis-29594	104	6	graph	graph	VERB
fcis-29594	104	7	it	it	PRON
fcis-29594	104	8	is	be	AUX
fcis-29594	104	9	evident	evident	ADJ
fcis-29594	104	10	from	from	ADP
fcis-29594	104	11	the	the	DET
fcis-29594	104	12	figure	figure	NOUN
fcis-29594	104	13	that	that	SCONJ
fcis-29594	104	14	the	the	DET
fcis-29594	104	15	actual	actual	ADJ
fcis-29594	104	16	and	and	CCONJ
fcis-29594	104	17	test	test	NOUN
fcis-29594	104	18	values	value	NOUN
fcis-29594	104	19	remain	remain	VERB
fcis-29594	104	20	relatively	relatively	ADV
fcis-29594	104	21	stable	stable	ADJ
fcis-29594	104	22	for	for	ADP
fcis-29594	104	23	most	most	ADJ
fcis-29594	104	24	of	of	ADP
fcis-29594	104	25	the	the	DET
fcis-29594	104	26	period	period	NOUN
fcis-29594	104	27	,	,	PUNCT
fcis-29594	104	28	with	with	ADP
fcis-29594	104	29	occasional	occasional	ADJ
fcis-29594	104	30	fluctuations	fluctuation	NOUN
fcis-29594	104	31	.	.	PUNCT
fcis-29594	105	1	this	this	PRON
fcis-29594	105	2	indicates	indicate	VERB
fcis-29594	105	3	that	that	SCONJ
fcis-29594	105	4	the	the	DET
fcis-29594	105	5	method	method	NOUN
fcis-29594	105	6	has	have	VERB
fcis-29594	105	7	some	some	DET
fcis-29594	105	8	effectiveness	effectiveness	NOUN
fcis-29594	105	9	in	in	ADP
fcis-29594	105	10	optimizing	optimize	VERB
fcis-29594	105	11	workshop	workshop	NOUN
fcis-29594	105	12	energy	energy	NOUN
fcis-29594	105	13	management	management	NOUN
fcis-29594	105	14	and	and	CCONJ
fcis-29594	105	15	reducing	reduce	VERB
fcis-29594	105	16	carbon	carbon	NOUN
fcis-29594	105	17	emissions	emission	NOUN
fcis-29594	105	18	.	.	PUNCT
fcis-29594	106	1	furthermore	furthermore	ADV
fcis-29594	106	2	,	,	PUNCT
fcis-29594	106	3	the	the	DET
fcis-29594	106	4	predicted	predict	VERB
fcis-29594	106	5	values	value	NOUN
fcis-29594	106	6	show	show	VERB
fcis-29594	106	7	a	a	DET
fcis-29594	106	8	clear	clear	ADJ
fcis-29594	106	9	upward	upward	ADJ
fcis-29594	106	10	trend	trend	NOUN
fcis-29594	106	11	throughout	throughout	ADP
fcis-29594	106	12	the	the	DET
fcis-29594	106	13	observation	observation	NOUN
fcis-29594	106	14	period	period	NOUN
fcis-29594	106	15	,	,	PUNCT
fcis-29594	106	16	particularly	particularly	ADV
fcis-29594	106	17	between	between	ADP
fcis-29594	106	18	the	the	DET
fcis-29594	106	19	second	second	ADJ
fcis-29594	106	20	half	half	NOUN
fcis-29594	106	21	of	of	ADP
fcis-29594	106	22	2023	2023	NUM
fcis-29594	106	23	and	and	CCONJ
fcis-29594	106	24	the	the	DET
fcis-29594	106	25	first	first	ADJ
fcis-29594	106	26	half	half	NOUN
fcis-29594	106	27	of	of	ADP
fcis-29594	106	28	2024	2024	NUM
fcis-29594	106	29	,	,	PUNCT
fcis-29594	106	30	where	where	SCONJ
fcis-29594	106	31	the	the	DET
fcis-29594	106	32	growth	growth	NOUN
fcis-29594	106	33	rate	rate	NOUN
fcis-29594	106	34	significantly	significantly	ADV
fcis-29594	106	35	accelerates	accelerate	VERB
fcis-29594	106	36	.	.	PUNCT
fcis-29594	107	1	this	this	DET
fcis-29594	107	2	trend	trend	NOUN
fcis-29594	107	3	further	far	ADV
fcis-29594	107	4	emphasizes	emphasize	VERB
fcis-29594	107	5	the	the	DET
fcis-29594	107	6	effectiveness	effectiveness	NOUN
fcis-29594	107	7	and	and	CCONJ
fcis-29594	107	8	guiding	guiding	NOUN
fcis-29594	107	9	significance	significance	NOUN
fcis-29594	107	10	of	of	ADP
fcis-29594	107	11	the	the	DET
fcis-29594	107	12	method	method	NOUN
fcis-29594	107	13	in	in	ADP
fcis-29594	107	14	forecasting	forecast	VERB
fcis-29594	107	15	future	future	ADJ
fcis-29594	107	16	energy	energy	NOUN
fcis-29594	107	17	demand	demand	NOUN
fcis-29594	107	18	.	.	PUNCT
fcis-29594	108	1	4	4	X
fcis-29594	108	2	.	.	X
fcis-29594	108	3	summary	summary	NOUN
fcis-29594	108	4	in	in	ADP
fcis-29594	108	5	the	the	DET
fcis-29594	108	6	context	context	NOUN
fcis-29594	108	7	of	of	ADP
fcis-29594	108	8	advancing	advance	VERB
fcis-29594	108	9	the	the	DET
fcis-29594	108	10	dual	dual	ADJ
fcis-29594	108	11	-	-	PUNCT
fcis-29594	108	12	carbon	carbon	NOUN
fcis-29594	108	13	strategy	strategy	NOUN
fcis-29594	108	14	,	,	PUNCT
fcis-29594	108	15	studying	study	VERB
fcis-29594	108	16	the	the	DET
fcis-29594	108	17	carbon	carbon	NOUN
fcis-29594	108	18	emission	emission	NOUN
fcis-29594	108	19	efficiency	efficiency	NOUN
fcis-29594	108	20	in	in	ADP
fcis-29594	108	21	energy	energy	NOUN
fcis-29594	108	22	consumption	consumption	NOUN
fcis-29594	108	23	processes	process	NOUN
fcis-29594	108	24	is	be	AUX
fcis-29594	108	25	of	of	ADP
fcis-29594	108	26	significant	significant	ADJ
fcis-29594	108	27	importance	importance	NOUN
fcis-29594	108	28	.	.	PUNCT
fcis-29594	109	1	this	this	DET
fcis-29594	109	2	study	study	NOUN
fcis-29594	109	3	utilizes	utilize	VERB
fcis-29594	109	4	the	the	DET
fcis-29594	109	5	arima	arima	PROPN
fcis-29594	109	6	model	model	NOUN
fcis-29594	109	7	to	to	PART
fcis-29594	109	8	analyze	analyze	VERB
fcis-29594	109	9	and	and	CCONJ
fcis-29594	109	10	forecast	forecast	VERB
fcis-29594	109	11	the	the	DET
fcis-29594	109	12	electricity	electricity	NOUN
fcis-29594	109	13	consumption	consumption	NOUN
fcis-29594	109	14	data	datum	NOUN
fcis-29594	109	15	of	of	ADP
fcis-29594	109	16	the	the	DET
fcis-29594	109	17	sintering	sinter	VERB
fcis-29594	109	18	neodymiumiron	neodymiumiron	ADJ
fcis-29594	109	19	-	-	PUNCT
fcis-29594	109	20	boron	boron	NOUN
fcis-29594	109	21	workshop	workshop	NOUN
fcis-29594	109	22	from	from	ADP
fcis-29594	109	23	2023	2023	NUM
fcis-29594	109	24	to	to	ADP
fcis-29594	109	25	2024	2024	NUM
fcis-29594	109	26	,	,	PUNCT
fcis-29594	109	27	aiming	aim	VERB
fcis-29594	109	28	to	to	PART
fcis-29594	109	29	provide	provide	VERB
fcis-29594	109	30	empirical	empirical	ADJ
fcis-29594	109	31	support	support	NOUN
fcis-29594	109	32	for	for	ADP
fcis-29594	109	33	energy	energy	NOUN
fcis-29594	109	34	management	management	NOUN
fcis-29594	109	35	and	and	CCONJ
fcis-29594	109	36	carbon	carbon	NOUN
fcis-29594	109	37	emission	emission	NOUN
fcis-29594	109	38	control	control	NOUN
fcis-29594	109	39	.	.	PUNCT
fcis-29594	110	1	during	during	ADP
fcis-29594	110	2	the	the	DET
fcis-29594	110	3	research	research	NOUN
fcis-29594	110	4	,	,	PUNCT
fcis-29594	110	5	the	the	DET
fcis-29594	110	6	data	datum	NOUN
fcis-29594	110	7	was	be	AUX
fcis-29594	110	8	first	first	ADV
fcis-29594	110	9	tested	test	VERB
fcis-29594	110	10	for	for	ADP
fcis-29594	110	11	stationarity	stationarity	NOUN
fcis-29594	110	12	to	to	PART
fcis-29594	110	13	ensure	ensure	VERB
fcis-29594	110	14	that	that	SCONJ
fcis-29594	110	15	it	it	PRON
fcis-29594	110	16	meets	meet	VERB
fcis-29594	110	17	the	the	DET
fcis-29594	110	18	model	model	NOUN
fcis-29594	110	19	’s	’s	PART
fcis-29594	110	20	requirements	requirement	NOUN
fcis-29594	110	21	.	.	PUNCT
fcis-29594	111	1	then	then	ADV
fcis-29594	111	2	,	,	PUNCT
fcis-29594	111	3	the	the	DET
fcis-29594	111	4	bayesian	bayesian	NOUN
fcis-29594	111	5	information	information	NOUN
fcis-29594	111	6	criterion	criterion	NOUN
fcis-29594	111	7	was	be	AUX
fcis-29594	111	8	used	use	VERB
fcis-29594	111	9	to	to	PART
fcis-29594	111	10	select	select	VERB
fcis-29594	111	11	the	the	DET
fcis-29594	111	12	optimal	optimal	ADJ
fcis-29594	111	13	model	model	NOUN
fcis-29594	111	14	parameters	parameter	NOUN
fcis-29594	111	15	to	to	PART
fcis-29594	111	16	improve	improve	VERB
fcis-29594	111	17	forecasting	forecasting	NOUN
fcis-29594	111	18	accuracy	accuracy	NOUN
fcis-29594	111	19	.	.	PUNCT
fcis-29594	112	1	the	the	DET
fcis-29594	112	2	results	result	NOUN
fcis-29594	112	3	show	show	VERB
fcis-29594	112	4	that	that	SCONJ
fcis-29594	112	5	the	the	DET
fcis-29594	112	6	arima	arima	PROPN
fcis-29594	112	7	model	model	NOUN
fcis-29594	112	8	effectively	effectively	ADV
fcis-29594	112	9	reveals	reveal	VERB
fcis-29594	112	10	the	the	DET
fcis-29594	112	11	underlying	underlie	VERB
fcis-29594	112	12	patterns	pattern	NOUN
fcis-29594	112	13	in	in	ADP
fcis-29594	112	14	energy	energy	NOUN
fcis-29594	112	15	consumption	consumption	NOUN
fcis-29594	112	16	and	and	CCONJ
fcis-29594	112	17	provides	provide	VERB
fcis-29594	112	18	practical	practical	ADJ
fcis-29594	112	19	guidance	guidance	NOUN
fcis-29594	112	20	for	for	ADP
fcis-29594	112	21	optimizing	optimize	VERB
fcis-29594	112	22	workshop	workshop	NOUN
fcis-29594	112	23	energy	energy	NOUN
fcis-29594	112	24	management	management	NOUN
fcis-29594	112	25	and	and	CCONJ
fcis-29594	112	26	reducing	reduce	VERB
fcis-29594	112	27	carbon	carbon	NOUN
fcis-29594	112	28	32	32	NUM
fcis-29594	112	29	emissions	emission	NOUN
fcis-29594	112	30	.	.	PUNCT
fcis-29594	113	1	this	this	DET
fcis-29594	113	2	study	study	NOUN
fcis-29594	113	3	also	also	ADV
fcis-29594	113	4	conducted	conduct	VERB
fcis-29594	113	5	in	in	ADP
fcis-29594	113	6	-	-	PUNCT
fcis-29594	113	7	depth	depth	NOUN
fcis-29594	113	8	analysis	analysis	NOUN
fcis-29594	113	9	of	of	ADP
fcis-29594	113	10	the	the	DET
fcis-29594	113	11	time	time	NOUN
fcis-29594	113	12	series	series	PROPN
fcis-29594	113	13	data	data	PROPN
fcis-29594	113	14	characteristics	characteristic	NOUN
fcis-29594	113	15	using	use	VERB
fcis-29594	113	16	the	the	DET
fcis-29594	113	17	autocorrelation	autocorrelation	NOUN
fcis-29594	113	18	function	function	NOUN
fcis-29594	113	19	(	(	PUNCT
fcis-29594	113	20	acf	acf	PROPN
fcis-29594	113	21	)	)	PUNCT
fcis-29594	113	22	and	and	CCONJ
fcis-29594	113	23	partial	partial	ADJ
fcis-29594	113	24	autocorrelation	autocorrelation	NOUN
fcis-29594	113	25	function	function	NOUN
fcis-29594	113	26	(	(	PUNCT
fcis-29594	113	27	pacf	pacf	PROPN
fcis-29594	113	28	)	)	PUNCT
fcis-29594	113	29	.	.	PUNCT
fcis-29594	114	1	the	the	DET
fcis-29594	114	2	results	result	NOUN
fcis-29594	114	3	from	from	ADP
fcis-29594	114	4	the	the	DET
fcis-29594	114	5	acf	acf	PROPN
fcis-29594	114	6	and	and	CCONJ
fcis-29594	114	7	pacf	pacf	NOUN
fcis-29594	114	8	plots	plot	NOUN
fcis-29594	114	9	indicate	indicate	VERB
fcis-29594	114	10	that	that	SCONJ
fcis-29594	114	11	the	the	DET
fcis-29594	114	12	data	datum	NOUN
fcis-29594	114	13	exhibits	exhibit	VERB
fcis-29594	114	14	strong	strong	ADJ
fcis-29594	114	15	autocorrelation	autocorrelation	NOUN
fcis-29594	114	16	at	at	ADP
fcis-29594	114	17	the	the	DET
fcis-29594	114	18	initial	initial	ADJ
fcis-29594	114	19	lags	lag	NOUN
fcis-29594	114	20	,	,	PUNCT
fcis-29594	114	21	which	which	PRON
fcis-29594	114	22	gradually	gradually	ADV
fcis-29594	114	23	weakens	weaken	VERB
fcis-29594	114	24	at	at	ADP
fcis-29594	114	25	larger	large	ADJ
fcis-29594	114	26	lags	lag	NOUN
fcis-29594	114	27	,	,	PUNCT
fcis-29594	114	28	suggesting	suggest	VERB
fcis-29594	114	29	that	that	SCONJ
fcis-29594	114	30	a	a	DET
fcis-29594	114	31	lowerorder	lowerorder	NOUN
fcis-29594	114	32	autoregressive	autoregressive	ADJ
fcis-29594	114	33	model	model	NOUN
fcis-29594	114	34	(	(	PUNCT
fcis-29594	114	35	such	such	ADJ
fcis-29594	114	36	as	as	ADP
fcis-29594	114	37	ar	ar	NOUN
fcis-29594	114	38	(	(	PUNCT
fcis-29594	114	39	1	1	NUM
fcis-29594	114	40	)	)	PUNCT
fcis-29594	114	41	or	or	CCONJ
fcis-29594	114	42	ar	ar	PROPN
fcis-29594	114	43	(	(	PUNCT
fcis-29594	114	44	2	2	NUM
fcis-29594	114	45	)	)	PUNCT
fcis-29594	114	46	)	)	PUNCT
fcis-29594	114	47	is	be	AUX
fcis-29594	114	48	appropriate	appropriate	ADJ
fcis-29594	114	49	.	.	PUNCT
fcis-29594	115	1	additionally	additionally	ADV
fcis-29594	115	2	,	,	PUNCT
fcis-29594	115	3	residual	residual	ADJ
fcis-29594	115	4	analysis	analysis	NOUN
fcis-29594	115	5	confirms	confirm	VERB
fcis-29594	115	6	that	that	SCONJ
fcis-29594	115	7	the	the	DET
fcis-29594	115	8	model	model	NOUN
fcis-29594	115	9	fits	fit	VERB
fcis-29594	115	10	the	the	DET
fcis-29594	115	11	data	datum	NOUN
fcis-29594	115	12	well	well	ADV
fcis-29594	115	13	,	,	PUNCT
fcis-29594	115	14	with	with	ADP
fcis-29594	115	15	no	no	DET
fcis-29594	115	16	significant	significant	ADJ
fcis-29594	115	17	anomalies	anomaly	NOUN
fcis-29594	115	18	or	or	CCONJ
fcis-29594	115	19	trends	trend	NOUN
fcis-29594	115	20	identified	identify	VERB
fcis-29594	115	21	.	.	PUNCT
fcis-29594	116	1	in	in	ADP
fcis-29594	116	2	future	future	ADJ
fcis-29594	116	3	research	research	NOUN
fcis-29594	116	4	,	,	PUNCT
fcis-29594	116	5	more	more	ADV
fcis-29594	116	6	advanced	advanced	ADJ
fcis-29594	116	7	forecasting	forecasting	NOUN
fcis-29594	116	8	methods	method	NOUN
fcis-29594	116	9	,	,	PUNCT
fcis-29594	116	10	such	such	ADJ
fcis-29594	116	11	as	as	ADP
fcis-29594	116	12	machine	machine	NOUN
fcis-29594	116	13	learning	learning	NOUN
fcis-29594	116	14	and	and	CCONJ
fcis-29594	116	15	deep	deep	ADJ
fcis-29594	116	16	learning	learning	NOUN
fcis-29594	116	17	models	model	NOUN
fcis-29594	116	18	,	,	PUNCT
fcis-29594	116	19	can	can	AUX
fcis-29594	116	20	be	be	AUX
fcis-29594	116	21	explored	explore	VERB
fcis-29594	116	22	to	to	PART
fcis-29594	116	23	improve	improve	VERB
fcis-29594	116	24	forecasting	forecasting	NOUN
fcis-29594	116	25	accuracy	accuracy	NOUN
fcis-29594	116	26	and	and	CCONJ
fcis-29594	116	27	handle	handle	VERB
fcis-29594	116	28	more	more	ADJ
fcis-29594	116	29	complex	complex	ADJ
fcis-29594	116	30	data	data	NOUN
fcis-29594	116	31	features	feature	NOUN
fcis-29594	116	32	.	.	PUNCT
fcis-29594	117	1	furthermore	furthermore	ADV
fcis-29594	117	2	,	,	PUNCT
fcis-29594	117	3	considering	consider	VERB
fcis-29594	117	4	the	the	DET
fcis-29594	117	5	differences	difference	NOUN
fcis-29594	117	6	in	in	ADP
fcis-29594	117	7	energy	energy	NOUN
fcis-29594	117	8	consumption	consumption	NOUN
fcis-29594	117	9	and	and	CCONJ
fcis-29594	117	10	carbon	carbon	NOUN
fcis-29594	117	11	emission	emission	NOUN
fcis-29594	117	12	characteristics	characteristic	NOUN
fcis-29594	117	13	across	across	ADP
fcis-29594	117	14	various	various	ADJ
fcis-29594	117	15	industrial	industrial	ADJ
fcis-29594	117	16	workshops	workshop	NOUN
fcis-29594	117	17	,	,	PUNCT
fcis-29594	117	18	this	this	DET
fcis-29594	117	19	approach	approach	NOUN
fcis-29594	117	20	could	could	AUX
fcis-29594	117	21	be	be	AUX
fcis-29594	117	22	extended	extend	VERB
fcis-29594	117	23	to	to	ADP
fcis-29594	117	24	other	other	ADJ
fcis-29594	117	25	industries	industry	NOUN
fcis-29594	117	26	or	or	CCONJ
fcis-29594	117	27	application	application	NOUN
fcis-29594	117	28	scenarios	scenario	NOUN
fcis-29594	117	29	to	to	PART
fcis-29594	117	30	support	support	VERB
fcis-29594	117	31	broader	broad	ADJ
fcis-29594	117	32	low	low	ADJ
fcis-29594	117	33	-	-	PUNCT
fcis-29594	117	34	carbon	carbon	NOUN
fcis-29594	117	35	transformations	transformation	NOUN
fcis-29594	117	36	.	.	PUNCT
fcis-29594	118	1	with	with	ADP
fcis-29594	118	2	advancements	advancement	NOUN
fcis-29594	118	3	in	in	ADP
fcis-29594	118	4	energy	energy	NOUN
fcis-29594	118	5	management	management	NOUN
fcis-29594	118	6	technology	technology	NOUN
fcis-29594	118	7	and	and	CCONJ
fcis-29594	118	8	policy	policy	NOUN
fcis-29594	118	9	implementation	implementation	NOUN
fcis-29594	118	10	,	,	PUNCT
fcis-29594	118	11	data	data	NOUN
fcis-29594	118	12	-	-	PUNCT
fcis-29594	118	13	driven	drive	VERB
fcis-29594	118	14	forecasting	forecasting	NOUN
fcis-29594	118	15	models	model	NOUN
fcis-29594	118	16	will	will	AUX
fcis-29594	118	17	play	play	VERB
fcis-29594	118	18	an	an	DET
fcis-29594	118	19	increasingly	increasingly	ADV
fcis-29594	118	20	important	important	ADJ
fcis-29594	118	21	role	role	NOUN
fcis-29594	118	22	in	in	ADP
fcis-29594	118	23	achieving	achieve	VERB
fcis-29594	118	24	carbon	carbon	NOUN
fcis-29594	118	25	peak	peak	NOUN
fcis-29594	118	26	and	and	CCONJ
fcis-29594	118	27	carbon	carbon	NOUN
fcis-29594	118	28	neutrality	neutrality	NOUN
fcis-29594	118	29	goals	goal	NOUN
fcis-29594	118	30	.	.	PUNCT
fcis-29594	119	1	references	reference	NOUN
fcis-29594	119	2	[	[	X
fcis-29594	119	3	1	1	NUM
fcis-29594	119	4	]	]	X
fcis-29594	119	5	zhang	zhang	PROPN
fcis-29594	119	6	w	w	PROPN
fcis-29594	119	7	,	,	PUNCT
fcis-29594	119	8	shu	shu	PROPN
fcis-29594	119	9	c	c	PROPN
fcis-29594	119	10	,	,	PUNCT
fcis-29594	119	11	chen	chen	PROPN
fcis-29594	119	12	b	b	PROPN
fcis-29594	119	13	,	,	PUNCT
fcis-29594	119	14	et	et	PROPN
fcis-29594	119	15	al	al	PROPN
fcis-29594	119	16	.	.	PROPN
fcis-29594	119	17	research	research	NOUN
fcis-29594	119	18	on	on	ADP
fcis-29594	119	19	digital	digital	ADJ
fcis-29594	119	20	transformation	transformation	NOUN
fcis-29594	119	21	strategy	strategy	NOUN
fcis-29594	119	22	of	of	ADP
fcis-29594	119	23	the	the	DET
fcis-29594	119	24	energy	energy	NOUN
fcis-29594	119	25	industry	industry	NOUN
fcis-29594	119	26	based	base	VERB
fcis-29594	119	27	on	on	ADP
fcis-29594	119	28	differential	differential	ADJ
fcis-29594	119	29	game	game	NOUN
fcis-29594	119	30	under	under	ADP
fcis-29594	119	31	the	the	DET
fcis-29594	119	32	dual	dual	ADJ
fcis-29594	119	33	-	-	PUNCT
fcis-29594	119	34	carbon	carbon	NOUN
fcis-29594	119	35	background	background	NOUN
fcis-29594	119	36	in	in	ADP
fcis-29594	119	37	china[j	china[j	PROPN
fcis-29594	119	38	]	]	PUNCT
fcis-29594	119	39	.	.	PUNCT
fcis-29594	120	1	science	science	NOUN
fcis-29594	120	2	of	of	ADP
fcis-29594	120	3	the	the	DET
fcis-29594	120	4	total	total	ADJ
fcis-29594	120	5	environment	environment	NOUN
fcis-29594	120	6	,	,	PUNCT
fcis-29594	120	7	2024	2024	NUM
fcis-29594	120	8	,	,	PUNCT
fcis-29594	120	9	906	906	NUM
fcis-29594	120	10	:	:	SYM
fcis-29594	120	11	167297	167297	NUM
fcis-29594	120	12	.	.	PUNCT
fcis-29594	121	1	[	[	X
fcis-29594	121	2	2	2	X
fcis-29594	121	3	]	]	X
fcis-29594	121	4	wang	wang	PROPN
fcis-29594	121	5	j	j	PROPN
fcis-29594	121	6	,	,	PUNCT
fcis-29594	121	7	jia	jia	PROPN
fcis-29594	121	8	l	l	PROPN
fcis-29594	121	9	,	,	PUNCT
fcis-29594	121	10	wang	wang	PROPN
fcis-29594	121	11	y	y	PROPN
fcis-29594	121	12	,	,	PUNCT
fcis-29594	121	13	et	et	PROPN
fcis-29594	121	14	al	al	PROPN
fcis-29594	121	15	.	.	PROPN
fcis-29594	121	16	diffusion	diffusion	NOUN
fcis-29594	121	17	of	of	ADP
fcis-29594	121	18	“	"	PUNCT
fcis-29594	121	19	dual	dual	ADJ
fcis-29594	121	20	carbon	carbon	NOUN
fcis-29594	121	21	”	"	PUNCT
fcis-29594	121	22	policies	policy	NOUN
fcis-29594	121	23	among	among	ADP
fcis-29594	121	24	chinese	chinese	ADJ
fcis-29594	121	25	cities	city	NOUN
fcis-29594	121	26	:	:	PUNCT
fcis-29594	121	27	a	a	DET
fcis-29594	121	28	network	network	NOUN
fcis-29594	121	29	evolution	evolution	NOUN
fcis-29594	121	30	analysis[j	analysis[j	PROPN
fcis-29594	121	31	]	]	PUNCT
fcis-29594	121	32	.	.	PUNCT
fcis-29594	122	1	energy	energy	NOUN
fcis-29594	122	2	,	,	PUNCT
fcis-29594	122	3	2024	2024	NUM
fcis-29594	122	4	,	,	PUNCT
fcis-29594	122	5	300	300	NUM
fcis-29594	122	6	:	:	SYM
fcis-29594	122	7	131514	131514	NUM
fcis-29594	122	8	.	.	PUNCT
fcis-29594	123	1	[	[	X
fcis-29594	123	2	3	3	X
fcis-29594	123	3	]	]	X
fcis-29594	123	4	kaya	kaya	PROPN
fcis-29594	123	5	m.	m.	PROPN
fcis-29594	123	6	an	an	DET
fcis-29594	123	7	overview	overview	NOUN
fcis-29594	123	8	of	of	ADP
fcis-29594	123	9	ndfeb	ndfeb	ADJ
fcis-29594	123	10	magnets	magnet	NOUN
fcis-29594	123	11	recycling	recycle	VERB
fcis-29594	123	12	technologies[j	technologies[j	PROPN
fcis-29594	123	13	]	]	PUNCT
fcis-29594	123	14	.	.	PUNCT
fcis-29594	124	1	current	current	ADJ
fcis-29594	124	2	opinion	opinion	NOUN
fcis-29594	124	3	in	in	ADP
fcis-29594	124	4	green	green	ADJ
fcis-29594	124	5	and	and	CCONJ
fcis-29594	124	6	sustainable	sustainable	ADJ
fcis-29594	124	7	chemistry	chemistry	NOUN
fcis-29594	124	8	,	,	PUNCT
fcis-29594	124	9	2024	2024	NUM
fcis-29594	124	10	:	:	PUNCT
fcis-29594	124	11	100884	100884	NUM
fcis-29594	124	12	.	.	PUNCT
fcis-29594	125	1	[	[	X
fcis-29594	125	2	4	4	X
fcis-29594	125	3	]	]	X
fcis-29594	125	4	yang	yang	PROPN
fcis-29594	125	5	q	q	PROPN
fcis-29594	125	6	,	,	PUNCT
fcis-29594	125	7	li	li	PROPN
fcis-29594	125	8	y	y	PROPN
fcis-29594	125	9	,	,	PUNCT
fcis-29594	125	10	li	li	PROPN
fcis-29594	125	11	b	b	PROPN
fcis-29594	125	12	,	,	PUNCT
fcis-29594	125	13	et	et	PROPN
fcis-29594	125	14	al	al	PROPN
fcis-29594	125	15	.	.	PROPN
fcis-29594	125	16	selective	selective	ADJ
fcis-29594	125	17	leaching	leaching	NOUN
fcis-29594	125	18	and	and	CCONJ
fcis-29594	125	19	recovery	recovery	NOUN
fcis-29594	125	20	of	of	ADP
fcis-29594	125	21	neodymium	neodymium	NOUN
fcis-29594	125	22	from	from	ADP
fcis-29594	125	23	ndfeb	ndfeb	ADJ
fcis-29594	125	24	carbonyl	carbonyl	NOUN
fcis-29594	125	25	residues[j	residues[j	PROPN
fcis-29594	125	26	]	]	PUNCT
fcis-29594	125	27	.	.	PUNCT
fcis-29594	126	1	separation	separation	NOUN
fcis-29594	126	2	and	and	CCONJ
fcis-29594	126	3	purification	purification	NOUN
fcis-29594	126	4	technology	technology	NOUN
fcis-29594	126	5	,	,	PUNCT
fcis-29594	126	6	2024	2024	NUM
fcis-29594	126	7	,	,	PUNCT
fcis-29594	126	8	329	329	NUM
fcis-29594	126	9	:	:	PUNCT
fcis-29594	126	10	125137	125137	NUM
fcis-29594	126	11	.	.	PUNCT
fcis-29594	127	1	[	[	X
fcis-29594	127	2	5	5	X
fcis-29594	127	3	]	]	PUNCT
fcis-29594	127	4	zhang	zhang	PROPN
fcis-29594	127	5	g	g	PROPN
fcis-29594	127	6	p.	p.	PROPN
fcis-29594	127	7	time	time	NOUN
fcis-29594	127	8	series	series	PROPN
fcis-29594	127	9	forecasting	forecasting	NOUN
fcis-29594	127	10	using	use	VERB
fcis-29594	127	11	a	a	DET
fcis-29594	127	12	hybrid	hybrid	ADJ
fcis-29594	127	13	arima	arima	NOUN
fcis-29594	127	14	and	and	CCONJ
fcis-29594	127	15	neural	neural	ADJ
fcis-29594	127	16	network	network	NOUN
fcis-29594	127	17	model[j	model[j	PROPN
fcis-29594	127	18	]	]	PUNCT
fcis-29594	127	19	.	.	PUNCT
fcis-29594	128	1	neurocomputing	neurocomputing	NOUN
fcis-29594	128	2	,	,	PUNCT
fcis-29594	128	3	2003	2003	NUM
fcis-29594	128	4	,	,	PUNCT
fcis-29594	128	5	50	50	NUM
fcis-29594	128	6	:	:	SYM
fcis-29594	128	7	159	159	NUM
fcis-29594	128	8	-	-	SYM
fcis-29594	128	9	175	175	NUM
fcis-29594	128	10	.	.	PUNCT
fcis-29594	129	1	[	[	X
fcis-29594	129	2	6	6	NUM
fcis-29594	129	3	]	]	X
fcis-29594	129	4	ho	ho	PROPN
fcis-29594	129	5	s	s	PROPN
fcis-29594	129	6	l	l	NOUN
fcis-29594	129	7	,	,	PUNCT
fcis-29594	129	8	xie	xie	PROPN
fcis-29594	129	9	m.	m.	VERB
fcis-29594	129	10	the	the	DET
fcis-29594	129	11	use	use	NOUN
fcis-29594	129	12	of	of	ADP
fcis-29594	129	13	arima	arima	NOUN
fcis-29594	129	14	models	model	NOUN
fcis-29594	129	15	for	for	ADP
fcis-29594	129	16	reliability	reliability	NOUN
fcis-29594	129	17	forecasting	forecasting	NOUN
fcis-29594	129	18	and	and	CCONJ
fcis-29594	129	19	analysis[j	analysis[j	PROPN
fcis-29594	129	20	]	]	PUNCT
fcis-29594	129	21	.	.	PUNCT
fcis-29594	130	1	computers	computer	NOUN
fcis-29594	130	2	&	&	CCONJ
fcis-29594	130	3	industrial	industrial	ADJ
fcis-29594	130	4	engineering	engineering	NOUN
fcis-29594	130	5	,	,	PUNCT
fcis-29594	130	6	1998	1998	NUM
fcis-29594	130	7	,	,	PUNCT
fcis-29594	130	8	35(1	35(1	NUM
fcis-29594	130	9	-	-	PUNCT
fcis-29594	130	10	2	2	NUM
fcis-29594	130	11	):	):	PUNCT
fcis-29594	130	12	213	213	NUM
fcis-29594	130	13	-	-	SYM
fcis-29594	130	14	216	216	NUM
fcis-29594	130	15	.	.	PUNCT
fcis-29594	131	1	[	[	X
fcis-29594	131	2	7	7	X
fcis-29594	131	3	]	]	X
fcis-29594	131	4	vrieze	vrieze	PROPN
fcis-29594	131	5	s	s	PROPN
fcis-29594	131	6	i.	i.	NOUN
fcis-29594	131	7	model	model	NOUN
fcis-29594	131	8	selection	selection	NOUN
fcis-29594	131	9	and	and	CCONJ
fcis-29594	131	10	psychological	psychological	ADJ
fcis-29594	131	11	theory	theory	NOUN
fcis-29594	131	12	:	:	PUNCT
fcis-29594	131	13	a	a	DET
fcis-29594	131	14	discussion	discussion	NOUN
fcis-29594	131	15	of	of	ADP
fcis-29594	131	16	the	the	DET
fcis-29594	131	17	differences	difference	NOUN
fcis-29594	131	18	between	between	ADP
fcis-29594	131	19	the	the	DET
fcis-29594	131	20	akaike	akaike	ADJ
fcis-29594	131	21	information	information	NOUN
fcis-29594	131	22	criterion	criterion	NOUN
fcis-29594	131	23	(	(	PUNCT
fcis-29594	131	24	aic	aic	PROPN
fcis-29594	131	25	)	)	PUNCT
fcis-29594	131	26	and	and	CCONJ
fcis-29594	131	27	the	the	DET
fcis-29594	131	28	bayesian	bayesian	ADJ
fcis-29594	131	29	information	information	NOUN
fcis-29594	131	30	criterion	criterion	NOUN
fcis-29594	131	31	(	(	PUNCT
fcis-29594	131	32	bic)[j	bic)[j	X
fcis-29594	131	33	]	]	X
fcis-29594	131	34	.	.	PUNCT
fcis-29594	132	1	psychological	psychological	ADJ
fcis-29594	132	2	methods	method	NOUN
fcis-29594	132	3	,	,	PUNCT
fcis-29594	132	4	2012	2012	NUM
fcis-29594	132	5	,	,	PUNCT
fcis-29594	132	6	17(2	17(2	NUM
fcis-29594	132	7	):	):	PUNCT
fcis-29594	132	8	228	228	NUM
fcis-29594	132	9	.	.	PUNCT
fcis-29594	133	1	[	[	X
fcis-29594	133	2	8	8	NUM
fcis-29594	133	3	]	]	X
fcis-29594	133	4	zhang	zhang	PROPN
fcis-29594	133	5	t.	t.	PROPN
fcis-29594	133	6	which	which	DET
fcis-29594	133	7	policy	policy	NOUN
fcis-29594	133	8	is	be	AUX
fcis-29594	133	9	more	more	ADV
fcis-29594	133	10	effective	effective	ADJ
fcis-29594	133	11	,	,	PUNCT
fcis-29594	133	12	carbon	carbon	NOUN
fcis-29594	133	13	reduction	reduction	NOUN
fcis-29594	133	14	in	in	ADP
fcis-29594	133	15	all	all	DET
fcis-29594	133	16	industries	industry	NOUN
fcis-29594	133	17	or	or	CCONJ
fcis-29594	133	18	in	in	ADP
fcis-29594	133	19	high	high	ADJ
fcis-29594	133	20	energy	energy	NOUN
fcis-29594	133	21	-	-	PUNCT
fcis-29594	133	22	consuming	consume	VERB
fcis-29594	133	23	industries	industry	NOUN
fcis-29594	133	24	?	?	PUNCT
fcis-29594	133	25	—	—	PUNCT
fcis-29594	133	26	—	—	PUNCT
fcis-29594	133	27	from	from	ADP
fcis-29594	133	28	dual	dual	ADJ
fcis-29594	133	29	perspectives	perspective	NOUN
fcis-29594	133	30	of	of	ADP
fcis-29594	133	31	welfare	welfare	NOUN
fcis-29594	133	32	effects	effect	NOUN
fcis-29594	133	33	and	and	CCONJ
fcis-29594	133	34	economic	economic	ADJ
fcis-29594	133	35	effects[j	effects[j	PROPN
fcis-29594	133	36	]	]	PUNCT
fcis-29594	133	37	.	.	PUNCT
fcis-29594	134	1	journal	journal	PROPN
fcis-29594	134	2	of	of	ADP
fcis-29594	134	3	cleaner	clean	ADJ
fcis-29594	134	4	production	production	NOUN
fcis-29594	134	5	,	,	PUNCT
fcis-29594	134	6	2019	2019	NUM
fcis-29594	134	7	,	,	PUNCT
fcis-29594	134	8	216	216	NUM
fcis-29594	134	9	:	:	PUNCT
fcis-29594	134	10	184	184	NUM
fcis-29594	134	11	-	-	SYM
fcis-29594	134	12	196	196	NUM
fcis-29594	134	13	.	.	PUNCT
fcis-29594	135	1	[	[	X
fcis-29594	135	2	9	9	NUM
fcis-29594	135	3	]	]	X
fcis-29594	135	4	guo	guo	PROPN
fcis-29594	135	5	x	x	PROPN
fcis-29594	135	6	,	,	PUNCT
fcis-29594	135	7	shi	shi	PROPN
fcis-29594	135	8	r	r	PROPN
fcis-29594	135	9	,	,	PUNCT
fcis-29594	135	10	ren	ren	PROPN
fcis-29594	135	11	d.	d.	PROPN
fcis-29594	135	12	reduce	reduce	VERB
fcis-29594	135	13	carbon	carbon	NOUN
fcis-29594	135	14	emissions	emission	NOUN
fcis-29594	135	15	efficiently	efficiently	ADV
fcis-29594	135	16	:	:	PUNCT
fcis-29594	135	17	the	the	DET
fcis-29594	135	18	influencing	influence	VERB
fcis-29594	135	19	factors	factor	NOUN
fcis-29594	135	20	and	and	CCONJ
fcis-29594	135	21	decoupling	decouple	VERB
fcis-29594	135	22	relationships	relationship	NOUN
fcis-29594	135	23	of	of	ADP
fcis-29594	135	24	carbon	carbon	NOUN
fcis-29594	135	25	emission	emission	NOUN
fcis-29594	135	26	from	from	ADP
fcis-29594	135	27	high	high	ADJ
fcis-29594	135	28	-	-	PUNCT
fcis-29594	135	29	energy	energy	NOUN
fcis-29594	135	30	consumption	consumption	NOUN
fcis-29594	135	31	and	and	CCONJ
fcis-29594	135	32	high	high	ADJ
fcis-29594	135	33	-	-	PUNCT
fcis-29594	135	34	emission	emission	NOUN
fcis-29594	135	35	industries	industry	NOUN
fcis-29594	135	36	in	in	ADP
fcis-29594	135	37	china[j	china[j	PROPN
fcis-29594	135	38	]	]	PUNCT
fcis-29594	135	39	.	.	PUNCT
fcis-29594	136	1	energy	energy	PROPN
fcis-29594	136	2	&	&	CCONJ
fcis-29594	136	3	environment	environment	PROPN
fcis-29594	136	4	,	,	PUNCT
fcis-29594	136	5	2024	2024	NUM
fcis-29594	136	6	,	,	PUNCT
fcis-29594	136	7	35(3	35(3	NUM
fcis-29594	136	8	):	):	PUNCT
fcis-29594	136	9	1416	1416	NUM
fcis-29594	136	10	-	-	SYM
fcis-29594	136	11	1433	1433	NUM
fcis-29594	136	12	.	.	PUNCT