id	sid	tid	token	lemma	pos
fcis-17466	1	1	frontiers	frontier	NOUN
fcis-17466	1	2	in	in	ADP
fcis-17466	1	3	computing	computing	NOUN
fcis-17466	1	4	and	and	CCONJ
fcis-17466	1	5	intelligent	intelligent	ADJ
fcis-17466	1	6	systems	system	NOUN
fcis-17466	1	7	issn	issn	VERB
fcis-17466	1	8	:	:	PUNCT
fcis-17466	1	9	2832	2832	NUM
fcis-17466	1	10	-	-	SYM
fcis-17466	1	11	6024	6024	NUM
fcis-17466	1	12	|	|	NOUN
fcis-17466	1	13	vol	vol	NOUN
fcis-17466	1	14	.	.	PROPN
fcis-17466	2	1	7	7	NUM
fcis-17466	2	2	,	,	PUNCT
fcis-17466	2	3	no	no	INTJ
fcis-17466	2	4	.	.	NOUN
fcis-17466	2	5	2	2	NUM
fcis-17466	2	6	,	,	PUNCT
fcis-17466	2	7	2024	2024	NUM
fcis-17466	2	8	11	11	NUM
fcis-17466	2	9	construction	construction	NOUN
fcis-17466	2	10	of	of	ADP
fcis-17466	2	11	a	a	DET
fcis-17466	2	12	climate	climate	NOUN
fcis-17466	2	13	early	early	ADJ
fcis-17466	2	14	warning	warning	NOUN
fcis-17466	2	15	system	system	NOUN
fcis-17466	2	16	:	:	PUNCT
fcis-17466	2	17	predicting	predict	VERB
fcis-17466	2	18	future	future	ADJ
fcis-17466	2	19	temperatures	temperature	NOUN
fcis-17466	2	20	and	and	CCONJ
fcis-17466	2	21	climate	climate	NOUN
fcis-17466	2	22	security	security	NOUN
fcis-17466	2	23	using	use	VERB
fcis-17466	2	24	bilstm	bilstm	NOUN
fcis-17466	2	25	jie	jie	PROPN
fcis-17466	2	26	yang	yang	PROPN
fcis-17466	2	27	*	*	PROPN
fcis-17466	2	28	,	,	PUNCT
fcis-17466	2	29	zijun	zijun	PROPN
fcis-17466	2	30	li	li	PROPN
fcis-17466	2	31	school	school	PROPN
fcis-17466	2	32	of	of	ADP
fcis-17466	2	33	statistics	statistic	NOUN
fcis-17466	2	34	and	and	CCONJ
fcis-17466	2	35	applied	applied	ADJ
fcis-17466	2	36	mathematics	mathematic	NOUN
fcis-17466	2	37	,	,	PUNCT
fcis-17466	2	38	anhui	anhui	PROPN
fcis-17466	2	39	university	university	PROPN
fcis-17466	2	40	of	of	ADP
fcis-17466	2	41	finance	finance	NOUN
fcis-17466	2	42	and	and	CCONJ
fcis-17466	2	43	economics	economic	NOUN
fcis-17466	2	44	,	,	PUNCT
fcis-17466	2	45	bengbu	bengbu	NOUN
fcis-17466	2	46	anhui	anhui	PROPN
fcis-17466	2	47	,	,	PUNCT
fcis-17466	2	48	233030	233030	NUM
fcis-17466	2	49	,	,	PUNCT
fcis-17466	2	50	china	china	PROPN
fcis-17466	2	51	*	*	PUNCT
fcis-17466	2	52	corresponding	correspond	VERB
fcis-17466	2	53	author	author	NOUN
fcis-17466	2	54	:	:	PUNCT
fcis-17466	2	55	jie	jie	PROPN
fcis-17466	2	56	yang	yang	PROPN
fcis-17466	2	57	(	(	PUNCT
fcis-17466	2	58	email	email	NOUN
fcis-17466	2	59	:	:	PUNCT
fcis-17466	2	60	yjzml0903@163.com	yjzml0903@163.com	NUM
fcis-17466	2	61	)	)	PUNCT
fcis-17466	2	62	abstract	abstract	NOUN
fcis-17466	2	63	:	:	PUNCT
fcis-17466	2	64	in	in	ADP
fcis-17466	2	65	light	light	NOUN
fcis-17466	2	66	of	of	ADP
fcis-17466	2	67	the	the	DET
fcis-17466	2	68	worsening	worsen	VERB
fcis-17466	2	69	global	global	ADJ
fcis-17466	2	70	climate	climate	NOUN
fcis-17466	2	71	,	,	PUNCT
fcis-17466	2	72	providing	provide	VERB
fcis-17466	2	73	predictive	predictive	ADJ
fcis-17466	2	74	models	model	NOUN
fcis-17466	2	75	for	for	ADP
fcis-17466	2	76	surface	surface	NOUN
fcis-17466	2	77	temperature	temperature	NOUN
fcis-17466	2	78	and	and	CCONJ
fcis-17466	2	79	energy	energy	NOUN
fcis-17466	2	80	consumption	consumption	NOUN
fcis-17466	2	81	is	be	AUX
fcis-17466	2	82	crucial	crucial	ADJ
fcis-17466	2	83	for	for	ADP
fcis-17466	2	84	formulating	formulate	VERB
fcis-17466	2	85	effective	effective	ADJ
fcis-17466	2	86	climate	climate	NOUN
fcis-17466	2	87	action	action	NOUN
fcis-17466	2	88	strategies	strategy	NOUN
fcis-17466	2	89	.	.	PUNCT
fcis-17466	3	1	initially	initially	ADV
fcis-17466	3	2	,	,	PUNCT
fcis-17466	3	3	a	a	DET
fcis-17466	3	4	bi	bi	ADJ
fcis-17466	3	5	-	-	ADJ
fcis-17466	3	6	directional	directional	ADJ
fcis-17466	3	7	long	long	ADJ
fcis-17466	3	8	short	short	ADJ
fcis-17466	3	9	-	-	PUNCT
fcis-17466	3	10	term	term	NOUN
fcis-17466	3	11	memory	memory	NOUN
fcis-17466	3	12	(	(	PUNCT
fcis-17466	3	13	bilstm	bilstm	NOUN
fcis-17466	3	14	)	)	PUNCT
fcis-17466	3	15	network	network	NOUN
fcis-17466	3	16	model	model	NOUN
fcis-17466	3	17	is	be	AUX
fcis-17466	3	18	established	establish	VERB
fcis-17466	3	19	to	to	PART
fcis-17466	3	20	predict	predict	VERB
fcis-17466	3	21	the	the	DET
fcis-17466	3	22	maximum	maximum	ADJ
fcis-17466	3	23	surface	surface	NOUN
fcis-17466	3	24	temperatures	temperature	NOUN
fcis-17466	3	25	over	over	ADP
fcis-17466	3	26	the	the	DET
fcis-17466	3	27	next	next	ADJ
fcis-17466	3	28	century	century	NOUN
fcis-17466	3	29	,	,	PUNCT
fcis-17466	3	30	with	with	ADP
fcis-17466	3	31	the	the	DET
fcis-17466	3	32	seasonal	seasonal	ADJ
fcis-17466	3	33	autoregressive	autoregressive	ADJ
fcis-17466	3	34	integrated	integrated	ADJ
fcis-17466	3	35	moving	move	VERB
fcis-17466	3	36	average	average	ADJ
fcis-17466	3	37	(	(	PUNCT
fcis-17466	3	38	sarima	sarima	NOUN
fcis-17466	3	39	)	)	PUNCT
fcis-17466	3	40	model	model	NOUN
fcis-17466	3	41	serving	serve	VERB
fcis-17466	3	42	as	as	ADP
fcis-17466	3	43	a	a	DET
fcis-17466	3	44	benchmark	benchmark	NOUN
fcis-17466	3	45	.	.	PUNCT
fcis-17466	4	1	to	to	PART
fcis-17466	4	2	assess	assess	VERB
fcis-17466	4	3	the	the	DET
fcis-17466	4	4	risk	risk	NOUN
fcis-17466	4	5	levels	level	NOUN
fcis-17466	4	6	of	of	ADP
fcis-17466	4	7	climate	climate	NOUN
fcis-17466	4	8	security	security	NOUN
fcis-17466	4	9	,	,	PUNCT
fcis-17466	4	10	the	the	DET
fcis-17466	4	11	k	k	NOUN
fcis-17466	4	12	-	-	PUNCT
fcis-17466	4	13	means	mean	VERB
fcis-17466	4	14	clustering	clustering	ADJ
fcis-17466	4	15	algorithm	algorithm	NOUN
fcis-17466	4	16	is	be	AUX
fcis-17466	4	17	utilized	utilize	VERB
fcis-17466	4	18	to	to	PART
fcis-17466	4	19	classify	classify	VERB
fcis-17466	4	20	the	the	DET
fcis-17466	4	21	growth	growth	NOUN
fcis-17466	4	22	rates	rate	NOUN
fcis-17466	4	23	of	of	ADP
fcis-17466	4	24	carbon	carbon	NOUN
fcis-17466	4	25	dioxide	dioxide	NOUN
fcis-17466	4	26	emissions	emission	NOUN
fcis-17466	4	27	,	,	PUNCT
fcis-17466	4	28	enabling	enable	VERB
fcis-17466	4	29	the	the	DET
fcis-17466	4	30	construction	construction	NOUN
fcis-17466	4	31	of	of	ADP
fcis-17466	4	32	a	a	DET
fcis-17466	4	33	three	three	NUM
fcis-17466	4	34	-	-	PUNCT
fcis-17466	4	35	tier	tier	NOUN
fcis-17466	4	36	climate	climate	NOUN
fcis-17466	4	37	security	security	NOUN
fcis-17466	4	38	early	early	ADJ
fcis-17466	4	39	warning	warning	NOUN
fcis-17466	4	40	index	index	NOUN
fcis-17466	4	41	.	.	PUNCT
fcis-17466	5	1	subsequently	subsequently	ADV
fcis-17466	5	2	,	,	PUNCT
fcis-17466	5	3	a	a	DET
fcis-17466	5	4	hybrid	hybrid	ADJ
fcis-17466	5	5	classification	classification	NOUN
fcis-17466	5	6	model	model	NOUN
fcis-17466	5	7	based	base	VERB
fcis-17466	5	8	on	on	ADP
fcis-17466	5	9	support	support	NOUN
fcis-17466	5	10	vector	vector	NOUN
fcis-17466	5	11	machine	machine	NOUN
fcis-17466	5	12	(	(	PUNCT
fcis-17466	5	13	svm	svm	PROPN
fcis-17466	5	14	)	)	PUNCT
fcis-17466	5	15	and	and	CCONJ
fcis-17466	5	16	random	random	ADJ
fcis-17466	5	17	forest	forest	NOUN
fcis-17466	5	18	(	(	PUNCT
fcis-17466	5	19	rf	rf	NOUN
fcis-17466	5	20	)	)	PUNCT
fcis-17466	5	21	takes	take	VERB
fcis-17466	5	22	the	the	DET
fcis-17466	5	23	energy	energy	NOUN
fcis-17466	5	24	consumption	consumption	NOUN
fcis-17466	5	25	growth	growth	NOUN
fcis-17466	5	26	rates	rate	NOUN
fcis-17466	5	27	as	as	ADP
fcis-17466	5	28	inputs	input	NOUN
fcis-17466	5	29	and	and	CCONJ
fcis-17466	5	30	the	the	DET
fcis-17466	5	31	warning	warning	NOUN
fcis-17466	5	32	indices	index	NOUN
fcis-17466	5	33	as	as	ADP
fcis-17466	5	34	outputs	output	NOUN
fcis-17466	5	35	to	to	PART
fcis-17466	5	36	construct	construct	VERB
fcis-17466	5	37	a	a	DET
fcis-17466	5	38	climate	climate	NOUN
fcis-17466	5	39	security	security	NOUN
fcis-17466	5	40	early	early	ADJ
fcis-17466	5	41	warning	warning	NOUN
fcis-17466	5	42	system	system	NOUN
fcis-17466	5	43	.	.	PUNCT
fcis-17466	6	1	the	the	DET
fcis-17466	6	2	bilstm	bilstm	NOUN
fcis-17466	6	3	model	model	NOUN
fcis-17466	6	4	is	be	AUX
fcis-17466	6	5	employed	employ	VERB
fcis-17466	6	6	to	to	PART
fcis-17466	6	7	predict	predict	VERB
fcis-17466	6	8	the	the	DET
fcis-17466	6	9	energy	energy	NOUN
fcis-17466	6	10	consumption	consumption	NOUN
fcis-17466	6	11	growth	growth	NOUN
fcis-17466	6	12	rates	rate	NOUN
fcis-17466	6	13	for	for	ADP
fcis-17466	6	14	the	the	DET
fcis-17466	6	15	upcoming	upcoming	ADJ
fcis-17466	6	16	decade	decade	NOUN
fcis-17466	6	17	,	,	PUNCT
fcis-17466	6	18	and	and	CCONJ
fcis-17466	6	19	these	these	DET
fcis-17466	6	20	rates	rate	NOUN
fcis-17466	6	21	are	be	AUX
fcis-17466	6	22	input	input	VERB
fcis-17466	6	23	into	into	ADP
fcis-17466	6	24	the	the	DET
fcis-17466	6	25	svm	svm	ADJ
fcis-17466	6	26	-	-	ADJ
fcis-17466	6	27	rf	rf	ADJ
fcis-17466	6	28	model	model	NOUN
fcis-17466	6	29	to	to	PART
fcis-17466	6	30	forecast	forecast	VERB
fcis-17466	6	31	future	future	ADJ
fcis-17466	6	32	warning	warning	NOUN
fcis-17466	6	33	levels	level	NOUN
fcis-17466	6	34	.	.	PUNCT
fcis-17466	7	1	the	the	DET
fcis-17466	7	2	study	study	NOUN
fcis-17466	7	3	demonstrates	demonstrate	VERB
fcis-17466	7	4	that	that	SCONJ
fcis-17466	7	5	the	the	DET
fcis-17466	7	6	model	model	NOUN
fcis-17466	7	7	can	can	AUX
fcis-17466	7	8	effectively	effectively	ADV
fcis-17466	7	9	predict	predict	VERB
fcis-17466	7	10	the	the	DET
fcis-17466	7	11	maximum	maximum	ADJ
fcis-17466	7	12	surface	surface	NOUN
fcis-17466	7	13	temperatures	temperature	NOUN
fcis-17466	7	14	and	and	CCONJ
fcis-17466	7	15	provide	provide	VERB
fcis-17466	7	16	a	a	DET
fcis-17466	7	17	three	three	NUM
fcis-17466	7	18	-	-	PUNCT
fcis-17466	7	19	tier	tier	NOUN
fcis-17466	7	20	safety	safety	NOUN
fcis-17466	7	21	warning	warning	NOUN
fcis-17466	7	22	system	system	NOUN
fcis-17466	7	23	for	for	ADP
fcis-17466	7	24	future	future	ADJ
fcis-17466	7	25	climate	climate	NOUN
fcis-17466	7	26	risk	risk	NOUN
fcis-17466	7	27	management	management	NOUN
fcis-17466	7	28	.	.	PUNCT
fcis-17466	8	1	the	the	DET
fcis-17466	8	2	intent	intent	NOUN
fcis-17466	8	3	of	of	ADP
fcis-17466	8	4	this	this	DET
fcis-17466	8	5	research	research	NOUN
fcis-17466	8	6	is	be	AUX
fcis-17466	8	7	to	to	PART
fcis-17466	8	8	offer	offer	VERB
fcis-17466	8	9	a	a	DET
fcis-17466	8	10	novel	novel	ADJ
fcis-17466	8	11	tool	tool	NOUN
fcis-17466	8	12	for	for	ADP
fcis-17466	8	13	global	global	ADJ
fcis-17466	8	14	climate	climate	NOUN
fcis-17466	8	15	prevention	prevention	NOUN
fcis-17466	8	16	and	and	CCONJ
fcis-17466	8	17	to	to	PART
fcis-17466	8	18	deliver	deliver	VERB
fcis-17466	8	19	practical	practical	ADJ
fcis-17466	8	20	application	application	NOUN
fcis-17466	8	21	value	value	NOUN
fcis-17466	8	22	to	to	ADP
fcis-17466	8	23	policymakers	policymaker	NOUN
fcis-17466	8	24	in	in	ADP
fcis-17466	8	25	finance	finance	NOUN
fcis-17466	8	26	,	,	PUNCT
fcis-17466	8	27	energy	energy	NOUN
fcis-17466	8	28	,	,	PUNCT
fcis-17466	8	29	and	and	CCONJ
fcis-17466	8	30	environmental	environmental	ADJ
fcis-17466	8	31	sectors	sector	NOUN
fcis-17466	8	32	.	.	PUNCT
fcis-17466	9	1	keywords	keyword	NOUN
fcis-17466	9	2	:	:	PUNCT
fcis-17466	9	3	bilstm	bilstm	NOUN
fcis-17466	9	4	;	;	PUNCT
fcis-17466	9	5	k	k	X
fcis-17466	9	6	-	-	PUNCT
fcis-17466	9	7	means	mean	NOUN
fcis-17466	9	8	;	;	PUNCT
fcis-17466	9	9	svm	svm	ADJ
fcis-17466	9	10	-	-	ADJ
fcis-17466	9	11	rf	rf	ADJ
fcis-17466	9	12	;	;	PUNCT
fcis-17466	9	13	safety	safety	NOUN
fcis-17466	9	14	early	early	ADJ
fcis-17466	9	15	warning	warning	NOUN
fcis-17466	9	16	.	.	PUNCT
fcis-17466	10	1	1	1	X
fcis-17466	10	2	.	.	X
fcis-17466	10	3	introduction	introduction	NOUN
fcis-17466	10	4	as	as	SCONJ
fcis-17466	10	5	technological	technological	ADJ
fcis-17466	10	6	advancements	advancement	NOUN
fcis-17466	10	7	continue	continue	VERB
fcis-17466	10	8	,	,	PUNCT
fcis-17466	10	9	the	the	DET
fcis-17466	10	10	continuous	continuous	ADJ
fcis-17466	10	11	growth	growth	NOUN
fcis-17466	10	12	of	of	ADP
fcis-17466	10	13	the	the	DET
fcis-17466	10	14	first	first	ADJ
fcis-17466	10	15	and	and	CCONJ
fcis-17466	10	16	second	second	ADJ
fcis-17466	10	17	industrial	industrial	ADJ
fcis-17466	10	18	revolutions	revolution	NOUN
fcis-17466	10	19	,	,	PUNCT
fcis-17466	10	20	along	along	ADP
fcis-17466	10	21	with	with	ADP
fcis-17466	10	22	modern	modern	ADJ
fcis-17466	10	23	industrial	industrial	ADJ
fcis-17466	10	24	development	development	NOUN
fcis-17466	10	25	,	,	PUNCT
fcis-17466	10	26	has	have	AUX
fcis-17466	10	27	led	lead	VERB
fcis-17466	10	28	to	to	ADP
fcis-17466	10	29	a	a	DET
fcis-17466	10	30	steady	steady	ADJ
fcis-17466	10	31	increase	increase	NOUN
fcis-17466	10	32	in	in	ADP
fcis-17466	10	33	energy	energy	NOUN
fcis-17466	10	34	consumption	consumption	NOUN
fcis-17466	10	35	and	and	CCONJ
fcis-17466	10	36	carbon	carbon	NOUN
fcis-17466	10	37	dioxide	dioxide	NOUN
fcis-17466	10	38	emissions	emission	NOUN
fcis-17466	10	39	,	,	PUNCT
fcis-17466	10	40	consequently	consequently	ADV
fcis-17466	10	41	causing	cause	VERB
fcis-17466	10	42	a	a	DET
fcis-17466	10	43	rise	rise	NOUN
fcis-17466	10	44	in	in	ADP
fcis-17466	10	45	surface	surface	NOUN
fcis-17466	10	46	temperatures	temperature	NOUN
fcis-17466	10	47	.	.	PUNCT
fcis-17466	11	1	the	the	DET
fcis-17466	11	2	control	control	NOUN
fcis-17466	11	3	of	of	ADP
fcis-17466	11	4	rising	rise	VERB
fcis-17466	11	5	surface	surface	NOUN
fcis-17466	11	6	temperatures	temperature	NOUN
fcis-17466	11	7	is	be	AUX
fcis-17466	11	8	imperative	imperative	ADJ
fcis-17466	11	9	,	,	PUNCT
fcis-17466	11	10	as	as	SCONJ
fcis-17466	11	11	they	they	PRON
fcis-17466	11	12	have	have	VERB
fcis-17466	11	13	a	a	DET
fcis-17466	11	14	significant	significant	ADJ
fcis-17466	11	15	impact	impact	NOUN
fcis-17466	11	16	on	on	ADP
fcis-17466	11	17	human	human	ADJ
fcis-17466	11	18	livelihood	livelihood	NOUN
fcis-17466	11	19	and	and	CCONJ
fcis-17466	11	20	survival	survival	NOUN
fcis-17466	11	21	.	.	PUNCT
fcis-17466	12	1	over	over	ADP
fcis-17466	12	2	the	the	DET
fcis-17466	12	3	past	past	ADJ
fcis-17466	12	4	several	several	ADJ
fcis-17466	12	5	decades	decade	NOUN
fcis-17466	12	6	,	,	PUNCT
fcis-17466	12	7	the	the	DET
fcis-17466	12	8	increase	increase	NOUN
fcis-17466	12	9	in	in	ADP
fcis-17466	12	10	global	global	ADJ
fcis-17466	12	11	temperatures	temperature	NOUN
fcis-17466	12	12	has	have	AUX
fcis-17466	12	13	far	far	ADV
fcis-17466	12	14	exceeded	exceed	VERB
fcis-17466	12	15	the	the	DET
fcis-17466	12	16	range	range	NOUN
fcis-17466	12	17	of	of	ADP
fcis-17466	12	18	natural	natural	ADJ
fcis-17466	12	19	climate	climate	NOUN
fcis-17466	12	20	fluctuations	fluctuation	NOUN
fcis-17466	12	21	,	,	PUNCT
fcis-17466	12	22	with	with	ADP
fcis-17466	12	23	greenhouse	greenhouse	NOUN
fcis-17466	12	24	gases	gas	NOUN
fcis-17466	12	25	,	,	PUNCT
fcis-17466	12	26	primarily	primarily	ADV
fcis-17466	12	27	due	due	ADP
fcis-17466	12	28	to	to	ADP
fcis-17466	12	29	the	the	DET
fcis-17466	12	30	burning	burning	NOUN
fcis-17466	12	31	of	of	ADP
fcis-17466	12	32	fossil	fossil	ADJ
fcis-17466	12	33	fuels	fuel	NOUN
fcis-17466	12	34	,	,	PUNCT
fcis-17466	12	35	as	as	ADP
fcis-17466	12	36	the	the	DET
fcis-17466	12	37	main	main	ADJ
fcis-17466	12	38	culprits	culprit	NOUN
fcis-17466	12	39	[	[	X
fcis-17466	12	40	1	1	NUM
fcis-17466	12	41	]	]	PUNCT
fcis-17466	12	42	.	.	PUNCT
fcis-17466	13	1	the	the	DET
fcis-17466	13	2	"	"	PUNCT
fcis-17466	13	3	greenhouse	greenhouse	NOUN
fcis-17466	13	4	"	"	PUNCT
fcis-17466	13	5	effect	effect	NOUN
fcis-17466	13	6	of	of	ADP
fcis-17466	13	7	carbon	carbon	NOUN
fcis-17466	13	8	dioxide	dioxide	NOUN
fcis-17466	13	9	appears	appear	VERB
fcis-17466	13	10	to	to	PART
fcis-17466	13	11	be	be	AUX
fcis-17466	13	12	discounted	discount	VERB
fcis-17466	13	13	when	when	SCONJ
fcis-17466	13	14	considering	consider	VERB
fcis-17466	13	15	the	the	DET
fcis-17466	13	16	supply	supply	NOUN
fcis-17466	13	17	of	of	ADP
fcis-17466	13	18	renewable	renewable	ADJ
fcis-17466	13	19	resources	resource	NOUN
fcis-17466	13	20	,	,	PUNCT
fcis-17466	13	21	allowing	allow	VERB
fcis-17466	13	22	for	for	ADP
fcis-17466	13	23	an	an	DET
fcis-17466	13	24	increase	increase	NOUN
fcis-17466	13	25	in	in	ADP
fcis-17466	13	26	the	the	DET
fcis-17466	13	27	mining	mining	NOUN
fcis-17466	13	28	of	of	ADP
fcis-17466	13	29	fossil	fossil	ADJ
fcis-17466	13	30	fuels	fuel	NOUN
fcis-17466	13	31	within	within	ADP
fcis-17466	13	32	energy	energy	NOUN
fcis-17466	13	33	policies	policy	NOUN
fcis-17466	13	34	[	[	X
fcis-17466	13	35	2	2	NUM
fcis-17466	13	36	]	]	PUNCT
fcis-17466	13	37	.	.	PUNCT
fcis-17466	14	1	however	however	ADV
fcis-17466	14	2	,	,	PUNCT
fcis-17466	14	3	there	there	PRON
fcis-17466	14	4	is	be	VERB
fcis-17466	14	5	still	still	ADV
fcis-17466	14	6	a	a	DET
fcis-17466	14	7	lack	lack	NOUN
fcis-17466	14	8	of	of	ADP
fcis-17466	14	9	research	research	NOUN
fcis-17466	14	10	on	on	ADP
fcis-17466	14	11	how	how	SCONJ
fcis-17466	14	12	to	to	PART
fcis-17466	14	13	control	control	VERB
fcis-17466	14	14	the	the	DET
fcis-17466	14	15	growth	growth	NOUN
fcis-17466	14	16	rate	rate	NOUN
fcis-17466	14	17	of	of	ADP
fcis-17466	14	18	fossil	fossil	NOUN
fcis-17466	14	19	fuel	fuel	NOUN
fcis-17466	14	20	consumption	consumption	NOUN
fcis-17466	14	21	effectively	effectively	ADV
fcis-17466	14	22	.	.	PUNCT
fcis-17466	15	1	a	a	DET
fcis-17466	15	2	pause	pause	NOUN
fcis-17466	15	3	in	in	ADP
fcis-17466	15	4	the	the	DET
fcis-17466	15	5	rise	rise	NOUN
fcis-17466	15	6	of	of	ADP
fcis-17466	15	7	global	global	ADJ
fcis-17466	15	8	surface	surface	NOUN
fcis-17466	15	9	temperatures	temperature	NOUN
fcis-17466	15	10	during	during	ADP
fcis-17466	15	11	the	the	DET
fcis-17466	15	12	2000s	2000s	NUM
fcis-17466	15	13	led	lead	VERB
fcis-17466	15	14	some	some	DET
fcis-17466	15	15	scholars	scholar	NOUN
fcis-17466	15	16	to	to	PART
fcis-17466	15	17	believe	believe	VERB
fcis-17466	15	18	that	that	SCONJ
fcis-17466	15	19	global	global	ADJ
fcis-17466	15	20	warming	warming	NOUN
fcis-17466	15	21	had	have	AUX
fcis-17466	15	22	been	be	AUX
fcis-17466	15	23	interrupted	interrupt	VERB
fcis-17466	15	24	.	.	PUNCT
fcis-17466	16	1	in	in	ADP
fcis-17466	16	2	reality	reality	NOUN
fcis-17466	16	3	,	,	PUNCT
fcis-17466	16	4	the	the	DET
fcis-17466	16	5	increase	increase	NOUN
fcis-17466	16	6	in	in	ADP
fcis-17466	16	7	atmospheric	atmospheric	ADJ
fcis-17466	16	8	carbon	carbon	NOUN
fcis-17466	16	9	dioxide	dioxide	NOUN
fcis-17466	16	10	caused	cause	VERB
fcis-17466	16	11	an	an	DET
fcis-17466	16	12	energy	energy	NOUN
fcis-17466	16	13	imbalance	imbalance	NOUN
fcis-17466	16	14	,	,	PUNCT
fcis-17466	16	15	leading	lead	VERB
fcis-17466	16	16	to	to	ADP
fcis-17466	16	17	phenomena	phenomena	NOUN
fcis-17466	16	18	such	such	ADJ
fcis-17466	16	19	as	as	ADP
fcis-17466	16	20	rising	rise	VERB
fcis-17466	16	21	sea	sea	NOUN
fcis-17466	16	22	levels	level	NOUN
fcis-17466	16	23	,	,	PUNCT
fcis-17466	16	24	indicating	indicate	VERB
fcis-17466	16	25	that	that	SCONJ
fcis-17466	16	26	global	global	ADJ
fcis-17466	16	27	warming	warming	NOUN
fcis-17466	16	28	has	have	AUX
fcis-17466	16	29	not	not	PART
fcis-17466	16	30	stopped	stop	VERB
fcis-17466	16	31	but	but	CCONJ
fcis-17466	16	32	is	be	AUX
fcis-17466	16	33	manifesting	manifest	VERB
fcis-17466	16	34	in	in	ADP
fcis-17466	16	35	different	different	ADJ
fcis-17466	16	36	ways	way	NOUN
fcis-17466	16	37	[	[	X
fcis-17466	16	38	3	3	NUM
fcis-17466	16	39	]	]	PUNCT
fcis-17466	16	40	.	.	PUNCT
fcis-17466	17	1	the	the	DET
fcis-17466	17	2	impacts	impact	NOUN
fcis-17466	17	3	of	of	ADP
fcis-17466	17	4	global	global	ADJ
fcis-17466	17	5	warming	warming	NOUN
fcis-17466	17	6	on	on	ADP
fcis-17466	17	7	humanity	humanity	NOUN
fcis-17466	17	8	are	be	AUX
fcis-17466	17	9	also	also	ADV
fcis-17466	17	10	incalculable	incalculable	ADJ
fcis-17466	17	11	;	;	PUNCT
fcis-17466	17	12	it	it	PRON
fcis-17466	17	13	has	have	AUX
fcis-17466	17	14	affected	affect	VERB
fcis-17466	17	15	food	food	NOUN
fcis-17466	17	16	production	production	NOUN
fcis-17466	17	17	and	and	CCONJ
fcis-17466	17	18	indirectly	indirectly	ADV
fcis-17466	17	19	altered	alter	VERB
fcis-17466	17	20	the	the	DET
fcis-17466	17	21	social	social	ADJ
fcis-17466	17	22	and	and	CCONJ
fcis-17466	17	23	economic	economic	ADJ
fcis-17466	17	24	impacts	impact	NOUN
fcis-17466	17	25	on	on	ADP
fcis-17466	17	26	people	people	NOUN
fcis-17466	17	27	[	[	X
fcis-17466	17	28	4	4	NUM
fcis-17466	17	29	]	]	PUNCT
fcis-17466	17	30	.	.	PUNCT
fcis-17466	18	1	researchers	researcher	NOUN
fcis-17466	18	2	have	have	AUX
fcis-17466	18	3	noted	note	VERB
fcis-17466	18	4	that	that	SCONJ
fcis-17466	18	5	agricultural	agricultural	ADJ
fcis-17466	18	6	production	production	NOUN
fcis-17466	18	7	data	datum	NOUN
fcis-17466	18	8	highlights	highlight	VERB
fcis-17466	18	9	the	the	DET
fcis-17466	18	10	significant	significant	ADJ
fcis-17466	18	11	economic	economic	ADJ
fcis-17466	18	12	impacts	impact	NOUN
fcis-17466	18	13	of	of	ADP
fcis-17466	18	14	extreme	extreme	ADJ
fcis-17466	18	15	climate	climate	NOUN
fcis-17466	18	16	events	event	NOUN
fcis-17466	19	1	[	[	X
fcis-17466	19	2	5	5	NUM
fcis-17466	19	3	]	]	PUNCT
fcis-17466	19	4	.	.	PUNCT
fcis-17466	20	1	besides	besides	SCONJ
fcis-17466	20	2	economic	economic	ADJ
fcis-17466	20	3	effects	effect	NOUN
fcis-17466	20	4	,	,	PUNCT
fcis-17466	20	5	global	global	ADJ
fcis-17466	20	6	warming	warming	NOUN
fcis-17466	20	7	also	also	ADV
fcis-17466	20	8	directly	directly	ADV
fcis-17466	20	9	impacts	impact	VERB
fcis-17466	20	10	human	human	ADJ
fcis-17466	20	11	social	social	ADJ
fcis-17466	20	12	life	life	NOUN
fcis-17466	20	13	,	,	PUNCT
fcis-17466	20	14	increasing	increase	VERB
fcis-17466	20	15	unemployment	unemployment	NOUN
fcis-17466	20	16	rates	rate	NOUN
fcis-17466	20	17	through	through	ADP
fcis-17466	20	18	inflation	inflation	NOUN
fcis-17466	20	19	and	and	CCONJ
fcis-17466	20	20	agricultural	agricultural	ADJ
fcis-17466	20	21	productivity	productivity	NOUN
fcis-17466	20	22	,	,	PUNCT
fcis-17466	20	23	with	with	ADP
fcis-17466	20	24	a	a	DET
fcis-17466	20	25	significant	significant	ADJ
fcis-17466	20	26	effect	effect	NOUN
fcis-17466	20	27	on	on	ADP
fcis-17466	20	28	male	male	ADJ
fcis-17466	20	29	unemployment	unemployment	NOUN
fcis-17466	20	30	rates	rate	NOUN
fcis-17466	20	31	[	[	X
fcis-17466	20	32	6	6	NUM
fcis-17466	20	33	]	]	PUNCT
fcis-17466	20	34	.	.	PUNCT
fcis-17466	21	1	global	global	ADJ
fcis-17466	21	2	warming	warming	NOUN
fcis-17466	21	3	can	can	AUX
fcis-17466	21	4	also	also	ADV
fcis-17466	21	5	indirectly	indirectly	ADV
fcis-17466	21	6	increase	increase	VERB
fcis-17466	21	7	the	the	DET
fcis-17466	21	8	disparity	disparity	NOUN
fcis-17466	21	9	between	between	ADP
fcis-17466	21	10	rich	rich	ADJ
fcis-17466	21	11	and	and	CCONJ
fcis-17466	21	12	poor	poor	ADJ
fcis-17466	21	13	countries	country	NOUN
fcis-17466	21	14	,	,	PUNCT
fcis-17466	21	15	with	with	ADP
fcis-17466	21	16	many	many	ADJ
fcis-17466	21	17	impoverished	impoverished	ADJ
fcis-17466	21	18	nations	nation	NOUN
fcis-17466	21	19	severely	severely	ADV
fcis-17466	21	20	damaged	damage	VERB
fcis-17466	21	21	by	by	ADP
fcis-17466	21	22	the	the	DET
fcis-17466	21	23	warming	warming	NOUN
fcis-17466	21	24	caused	cause	VERB
fcis-17466	21	25	by	by	ADP
fcis-17466	21	26	affluent	affluent	ADJ
fcis-17466	21	27	countries	country	NOUN
fcis-17466	21	28	'	'	PART
fcis-17466	21	29	energy	energy	NOUN
fcis-17466	21	30	consumption	consumption	NOUN
fcis-17466	21	31	[	[	X
fcis-17466	21	32	7	7	NUM
fcis-17466	21	33	]	]	PUNCT
fcis-17466	21	34	.	.	PUNCT
fcis-17466	22	1	addressing	address	VERB
fcis-17466	22	2	global	global	ADJ
fcis-17466	22	3	warming	warming	NOUN
fcis-17466	22	4	,	,	PUNCT
fcis-17466	22	5	some	some	DET
fcis-17466	22	6	scholars	scholar	NOUN
fcis-17466	22	7	argue	argue	VERB
fcis-17466	22	8	that	that	SCONJ
fcis-17466	22	9	carbon	carbon	NOUN
fcis-17466	22	10	dioxide	dioxide	NOUN
fcis-17466	22	11	is	be	AUX
fcis-17466	22	12	the	the	DET
fcis-17466	22	13	primary	primary	ADJ
fcis-17466	22	14	cause	cause	NOUN
fcis-17466	22	15	,	,	PUNCT
fcis-17466	22	16	estimating	estimate	VERB
fcis-17466	22	17	it	it	PRON
fcis-17466	22	18	will	will	AUX
fcis-17466	22	19	account	account	VERB
fcis-17466	22	20	for	for	ADP
fcis-17466	22	21	about	about	ADV
fcis-17466	22	22	60	60	NUM
fcis-17466	22	23	%	%	NOUN
fcis-17466	22	24	of	of	ADP
fcis-17466	22	25	warming	warming	NOUN
fcis-17466	22	26	in	in	ADP
fcis-17466	22	27	the	the	DET
fcis-17466	22	28	next	next	ADJ
fcis-17466	22	29	century	century	NOUN
fcis-17466	22	30	and	and	CCONJ
fcis-17466	22	31	proposing	propose	VERB
fcis-17466	22	32	the	the	DET
fcis-17466	22	33	use	use	NOUN
fcis-17466	22	34	of	of	ADP
fcis-17466	22	35	renewable	renewable	ADJ
fcis-17466	22	36	biomass	biomass	NOUN
fcis-17466	22	37	to	to	PART
fcis-17466	22	38	mitigate	mitigate	VERB
fcis-17466	22	39	global	global	ADJ
fcis-17466	22	40	warming	warming	NOUN
fcis-17466	23	1	[	[	X
fcis-17466	23	2	8	8	NUM
fcis-17466	23	3	]	]	PUNCT
fcis-17466	23	4	.	.	PUNCT
fcis-17466	24	1	much	much	ADJ
fcis-17466	24	2	research	research	NOUN
fcis-17466	24	3	shows	show	VERB
fcis-17466	24	4	that	that	SCONJ
fcis-17466	24	5	the	the	DET
fcis-17466	24	6	burning	burning	NOUN
fcis-17466	24	7	of	of	ADP
fcis-17466	24	8	fossil	fossil	ADJ
fcis-17466	24	9	fuels	fuel	NOUN
fcis-17466	24	10	releases	release	VERB
fcis-17466	24	11	large	large	ADJ
fcis-17466	24	12	amounts	amount	NOUN
fcis-17466	24	13	of	of	ADP
fcis-17466	24	14	carbon	carbon	NOUN
fcis-17466	24	15	dioxide	dioxide	NOUN
fcis-17466	24	16	,	,	PUNCT
fcis-17466	24	17	thereby	thereby	ADV
fcis-17466	24	18	exacerbating	exacerbate	VERB
fcis-17466	24	19	the	the	DET
fcis-17466	24	20	current	current	ADJ
fcis-17466	24	21	state	state	NOUN
fcis-17466	24	22	of	of	ADP
fcis-17466	24	23	global	global	ADJ
fcis-17466	24	24	warming	warming	NOUN
fcis-17466	24	25	.	.	PUNCT
fcis-17466	25	1	as	as	SCONJ
fcis-17466	25	2	the	the	DET
fcis-17466	25	3	trend	trend	NOUN
fcis-17466	25	4	of	of	ADP
fcis-17466	25	5	global	global	ADJ
fcis-17466	25	6	warming	warming	NOUN
fcis-17466	25	7	steadily	steadily	ADV
fcis-17466	25	8	increases	increase	VERB
fcis-17466	25	9	,	,	PUNCT
fcis-17466	25	10	it	it	PRON
fcis-17466	25	11	is	be	AUX
fcis-17466	25	12	crucial	crucial	ADJ
fcis-17466	25	13	to	to	PART
fcis-17466	25	14	plan	plan	VERB
fcis-17466	25	15	energy	energy	NOUN
fcis-17466	25	16	consumption	consumption	NOUN
fcis-17466	25	17	rationally	rationally	ADV
fcis-17466	25	18	and	and	CCONJ
fcis-17466	25	19	predict	predict	VERB
fcis-17466	25	20	climate	climate	NOUN
fcis-17466	25	21	security	security	NOUN
fcis-17466	25	22	risks	risk	NOUN
fcis-17466	25	23	.	.	PUNCT
fcis-17466	26	1	most	most	ADJ
fcis-17466	26	2	researchers	researcher	NOUN
fcis-17466	26	3	opt	opt	VERB
fcis-17466	26	4	to	to	PART
fcis-17466	26	5	directly	directly	ADV
fcis-17466	26	6	predict	predict	VERB
fcis-17466	26	7	future	future	ADJ
fcis-17466	26	8	temperature	temperature	NOUN
fcis-17466	26	9	trends	trend	NOUN
fcis-17466	26	10	as	as	ADP
fcis-17466	26	11	a	a	DET
fcis-17466	26	12	reference	reference	NOUN
fcis-17466	26	13	for	for	ADP
fcis-17466	26	14	policymakers	policymaker	NOUN
fcis-17466	26	15	,	,	PUNCT
fcis-17466	26	16	starting	start	VERB
fcis-17466	26	17	with	with	ADP
fcis-17466	26	18	machine	machine	NOUN
fcis-17466	26	19	learning	learn	VERB
fcis-17466	26	20	predictions	prediction	NOUN
fcis-17466	26	21	,	,	PUNCT
fcis-17466	26	22	such	such	ADJ
fcis-17466	26	23	as	as	ADP
fcis-17466	26	24	using	use	VERB
fcis-17466	26	25	dtw	dtw	PROPN
fcis-17466	26	26	,	,	PUNCT
fcis-17466	26	27	svm	svm	PROPN
fcis-17466	26	28	,	,	PUNCT
fcis-17466	26	29	and	and	CCONJ
fcis-17466	26	30	lspso	lspso	NOUN
fcis-17466	26	31	to	to	PART
fcis-17466	26	32	predict	predict	VERB
fcis-17466	26	33	sea	sea	NOUN
fcis-17466	26	34	surface	surface	NOUN
fcis-17466	26	35	temperatures	temperature	NOUN
fcis-17466	26	36	[	[	X
fcis-17466	26	37	9	9	NUM
fcis-17466	26	38	]	]	PUNCT
fcis-17466	26	39	,	,	PUNCT
fcis-17466	26	40	and	and	CCONJ
fcis-17466	26	41	later	later	ADV
fcis-17466	26	42	evolving	evolve	VERB
fcis-17466	26	43	towards	towards	ADP
fcis-17466	26	44	deep	deep	ADJ
fcis-17466	26	45	learning	learning	NOUN
fcis-17466	26	46	,	,	PUNCT
fcis-17466	26	47	such	such	ADJ
fcis-17466	26	48	as	as	ADP
fcis-17466	26	49	constructing	construct	VERB
fcis-17466	26	50	memory	memory	NOUN
fcis-17466	26	51	graph	graph	NOUN
fcis-17466	26	52	convolutional	convolutional	ADJ
fcis-17466	26	53	neural	neural	ADJ
fcis-17466	26	54	networks	network	NOUN
fcis-17466	26	55	for	for	ADP
fcis-17466	26	56	predicting	predict	VERB
fcis-17466	26	57	sea	sea	NOUN
fcis-17466	26	58	surface	surface	NOUN
fcis-17466	26	59	temperatures	temperature	NOUN
fcis-17466	26	60	[	[	X
fcis-17466	26	61	10	10	NUM
fcis-17466	26	62	]	]	PUNCT
fcis-17466	26	63	and	and	CCONJ
fcis-17466	26	64	establishing	establish	VERB
fcis-17466	26	65	different	different	ADJ
fcis-17466	26	66	types	type	NOUN
fcis-17466	26	67	of	of	ADP
fcis-17466	26	68	lstm	lstm	NOUN
fcis-17466	26	69	to	to	PART
fcis-17466	26	70	predict	predict	VERB
fcis-17466	26	71	sea	sea	NOUN
fcis-17466	26	72	surface	surface	NOUN
fcis-17466	26	73	temperatures	temperature	NOUN
fcis-17466	26	74	[	[	X
fcis-17466	26	75	11	11	NUM
fcis-17466	26	76	]	]	PUNCT
fcis-17466	26	77	.	.	PUNCT
fcis-17466	27	1	in	in	ADP
fcis-17466	27	2	summary	summary	NOUN
fcis-17466	27	3	,	,	PUNCT
fcis-17466	27	4	the	the	DET
fcis-17466	27	5	current	current	ADJ
fcis-17466	27	6	literature	literature	NOUN
fcis-17466	27	7	contributes	contribute	VERB
fcis-17466	27	8	to	to	ADP
fcis-17466	27	9	the	the	DET
fcis-17466	27	10	following	following	NOUN
fcis-17466	27	11	:	:	PUNCT
fcis-17466	27	12	(	(	PUNCT
fcis-17466	27	13	1	1	X
fcis-17466	27	14	)	)	PUNCT
fcis-17466	27	15	highlighting	highlight	VERB
fcis-17466	27	16	the	the	DET
fcis-17466	27	17	current	current	ADJ
fcis-17466	27	18	state	state	NOUN
fcis-17466	27	19	of	of	ADP
fcis-17466	27	20	global	global	ADJ
fcis-17466	27	21	warming	warming	NOUN
fcis-17466	27	22	and	and	CCONJ
fcis-17466	27	23	analyzing	analyze	VERB
fcis-17466	27	24	the	the	DET
fcis-17466	27	25	factors	factor	NOUN
fcis-17466	27	26	leading	lead	VERB
fcis-17466	27	27	to	to	ADP
fcis-17466	27	28	warming	warming	NOUN
fcis-17466	27	29	;	;	PUNCT
fcis-17466	27	30	(	(	PUNCT
fcis-17466	27	31	2	2	X
fcis-17466	27	32	)	)	PUNCT
fcis-17466	27	33	assessing	assess	VERB
fcis-17466	27	34	the	the	DET
fcis-17466	27	35	damage	damage	NOUN
fcis-17466	27	36	of	of	ADP
fcis-17466	27	37	global	global	ADJ
fcis-17466	27	38	warming	warming	NOUN
fcis-17466	27	39	to	to	ADP
fcis-17466	27	40	the	the	DET
fcis-17466	27	41	economy	economy	NOUN
fcis-17466	27	42	and	and	CCONJ
fcis-17466	27	43	society	society	NOUN
fcis-17466	27	44	;	;	PUNCT
fcis-17466	27	45	(	(	PUNCT
fcis-17466	27	46	3	3	X
fcis-17466	27	47	)	)	PUNCT
fcis-17466	27	48	employing	employ	VERB
fcis-17466	27	49	model	model	NOUN
fcis-17466	27	50	algorithms	algorithm	NOUN
fcis-17466	27	51	to	to	PART
fcis-17466	27	52	predict	predict	VERB
fcis-17466	27	53	future	future	ADJ
fcis-17466	27	54	temperatures	temperature	NOUN
fcis-17466	27	55	to	to	PART
fcis-17466	27	56	guide	guide	VERB
fcis-17466	27	57	policy	policy	NOUN
fcis-17466	27	58	formulation	formulation	NOUN
fcis-17466	27	59	.	.	PUNCT
fcis-17466	28	1	however	however	ADV
fcis-17466	28	2	,	,	PUNCT
fcis-17466	28	3	many	many	ADJ
fcis-17466	28	4	studies	study	NOUN
fcis-17466	28	5	are	be	AUX
fcis-17466	28	6	limited	limit	VERB
fcis-17466	28	7	by	by	ADP
fcis-17466	28	8	their	their	PRON
fcis-17466	28	9	one	one	NUM
fcis-17466	28	10	-	-	PUNCT
fcis-17466	28	11	sided	sided	ADJ
fcis-17466	28	12	approach	approach	NOUN
fcis-17466	28	13	,	,	PUNCT
fcis-17466	28	14	such	such	ADJ
fcis-17466	28	15	as	as	ADP
fcis-17466	28	16	ignoring	ignore	VERB
fcis-17466	28	17	the	the	DET
fcis-17466	28	18	effects	effect	NOUN
fcis-17466	28	19	of	of	ADP
fcis-17466	28	20	carbon	carbon	NOUN
fcis-17466	28	21	dioxide	dioxide	NOUN
fcis-17466	28	22	and	and	CCONJ
fcis-17466	28	23	energy	energy	NOUN
fcis-17466	28	24	consumption	consumption	NOUN
fcis-17466	28	25	when	when	SCONJ
fcis-17466	28	26	predicting	predict	VERB
fcis-17466	28	27	temperatures	temperature	NOUN
fcis-17466	28	28	.	.	PUNCT
fcis-17466	29	1	when	when	SCONJ
fcis-17466	29	2	explaining	explain	VERB
fcis-17466	29	3	the	the	DET
fcis-17466	29	4	dangers	danger	NOUN
fcis-17466	29	5	of	of	ADP
fcis-17466	29	6	rising	rise	VERB
fcis-17466	29	7	temperatures	temperature	NOUN
fcis-17466	29	8	,	,	PUNCT
fcis-17466	29	9	they	they	PRON
fcis-17466	29	10	are	be	AUX
fcis-17466	29	11	constrained	constrain	VERB
fcis-17466	29	12	to	to	ADP
fcis-17466	29	13	existing	exist	VERB
fcis-17466	29	14	historical	historical	ADJ
fcis-17466	29	15	data	datum	NOUN
fcis-17466	29	16	.	.	PUNCT
fcis-17466	30	1	in	in	ADP
fcis-17466	30	2	fragmented	fragmented	ADJ
fcis-17466	30	3	research	research	NOUN
fcis-17466	30	4	,	,	PUNCT
fcis-17466	30	5	scholars	scholar	NOUN
fcis-17466	30	6	often	often	ADV
fcis-17466	30	7	focus	focus	VERB
fcis-17466	30	8	on	on	ADP
fcis-17466	30	9	specific	specific	ADJ
fcis-17466	30	10	regions	region	NOUN
fcis-17466	30	11	,	,	PUNCT
fcis-17466	30	12	lacking	lack	VERB
fcis-17466	30	13	consideration	consideration	NOUN
fcis-17466	30	14	of	of	ADP
fcis-17466	30	15	global	global	ADJ
fcis-17466	30	16	temperature	temperature	NOUN
fcis-17466	30	17	impacts	impact	NOUN
fcis-17466	30	18	and	and	CCONJ
fcis-17466	30	19	ignoring	ignore	VERB
fcis-17466	30	20	regional	regional	ADJ
fcis-17466	30	21	interconnections	interconnection	NOUN
fcis-17466	30	22	.	.	PUNCT
fcis-17466	31	1	12	12	NUM
fcis-17466	31	2	moreover	moreover	ADV
fcis-17466	31	3	,	,	PUNCT
fcis-17466	31	4	after	after	ADP
fcis-17466	31	5	studying	study	VERB
fcis-17466	31	6	future	future	ADJ
fcis-17466	31	7	temperatures	temperature	NOUN
fcis-17466	31	8	,	,	PUNCT
fcis-17466	31	9	many	many	ADJ
fcis-17466	31	10	have	have	AUX
fcis-17466	31	11	failed	fail	VERB
fcis-17466	31	12	to	to	PART
fcis-17466	31	13	provide	provide	VERB
fcis-17466	31	14	effective	effective	ADJ
fcis-17466	31	15	recommendations	recommendation	NOUN
fcis-17466	31	16	,	,	PUNCT
fcis-17466	31	17	leaving	leave	VERB
fcis-17466	31	18	policymakers	policymaker	NOUN
fcis-17466	31	19	unable	unable	ADJ
fcis-17466	31	20	to	to	PART
fcis-17466	31	21	fully	fully	ADV
fcis-17466	31	22	utilize	utilize	VERB
fcis-17466	31	23	the	the	DET
fcis-17466	31	24	research	research	NOUN
fcis-17466	31	25	value	value	NOUN
fcis-17466	31	26	based	base	VERB
fcis-17466	31	27	solely	solely	ADV
fcis-17466	31	28	on	on	ADP
fcis-17466	31	29	temperature	temperature	NOUN
fcis-17466	31	30	data	datum	NOUN
fcis-17466	31	31	.	.	PUNCT
fcis-17466	32	1	building	build	VERB
fcis-17466	32	2	on	on	ADP
fcis-17466	32	3	this	this	DET
fcis-17466	32	4	basis	basis	NOUN
fcis-17466	32	5	,	,	PUNCT
fcis-17466	32	6	this	this	DET
fcis-17466	32	7	study	study	NOUN
fcis-17466	32	8	will	will	AUX
fcis-17466	32	9	collect	collect	VERB
fcis-17466	32	10	data	datum	NOUN
fcis-17466	32	11	from	from	ADP
fcis-17466	32	12	a	a	DET
fcis-17466	32	13	global	global	ADJ
fcis-17466	32	14	scope	scope	NOUN
fcis-17466	32	15	,	,	PUNCT
fcis-17466	32	16	and	and	CCONJ
fcis-17466	32	17	while	while	SCONJ
fcis-17466	32	18	predicting	predict	VERB
fcis-17466	32	19	future	future	ADJ
fcis-17466	32	20	trends	trend	NOUN
fcis-17466	32	21	using	use	VERB
fcis-17466	32	22	deep	deep	ADJ
fcis-17466	32	23	learning	learning	NOUN
fcis-17466	32	24	models	model	NOUN
fcis-17466	32	25	,	,	PUNCT
fcis-17466	32	26	it	it	PRON
fcis-17466	32	27	will	will	AUX
fcis-17466	32	28	construct	construct	VERB
fcis-17466	32	29	a	a	DET
fcis-17466	32	30	climate	climate	NOUN
fcis-17466	32	31	security	security	NOUN
fcis-17466	32	32	early	early	ADJ
fcis-17466	32	33	warning	warning	NOUN
fcis-17466	32	34	system	system	NOUN
fcis-17466	32	35	to	to	PART
fcis-17466	32	36	forecast	forecast	VERB
fcis-17466	32	37	future	future	ADJ
fcis-17466	32	38	climate	climate	NOUN
fcis-17466	32	39	security	security	NOUN
fcis-17466	32	40	.	.	PUNCT
fcis-17466	33	1	this	this	DET
fcis-17466	33	2	study	study	NOUN
fcis-17466	33	3	aims	aim	VERB
fcis-17466	33	4	to	to	PART
fcis-17466	33	5	provide	provide	VERB
fcis-17466	33	6	insights	insight	NOUN
fcis-17466	33	7	and	and	CCONJ
fcis-17466	33	8	offer	offer	VERB
fcis-17466	33	9	policymakers	policymaker	NOUN
fcis-17466	33	10	additional	additional	ADJ
fcis-17466	33	11	effective	effective	ADJ
fcis-17466	33	12	value	value	NOUN
fcis-17466	33	13	by	by	ADP
fcis-17466	33	14	:	:	PUNCT
fcis-17466	33	15	(	(	PUNCT
fcis-17466	33	16	1	1	X
fcis-17466	33	17	)	)	PUNCT
fcis-17466	33	18	using	use	VERB
fcis-17466	33	19	deep	deep	ADJ
fcis-17466	33	20	learning	learning	NOUN
fcis-17466	33	21	models	model	NOUN
fcis-17466	33	22	to	to	PART
fcis-17466	33	23	predict	predict	VERB
fcis-17466	33	24	surface	surface	NOUN
fcis-17466	33	25	temperature	temperature	NOUN
fcis-17466	33	26	trends	trend	NOUN
fcis-17466	33	27	over	over	ADP
fcis-17466	33	28	the	the	DET
fcis-17466	33	29	next	next	ADJ
fcis-17466	33	30	100	100	NUM
fcis-17466	33	31	years	year	NOUN
fcis-17466	33	32	;	;	PUNCT
fcis-17466	33	33	(	(	PUNCT
fcis-17466	33	34	2	2	X
fcis-17466	33	35	)	)	PUNCT
fcis-17466	33	36	building	build	VERB
fcis-17466	33	37	a	a	DET
fcis-17466	33	38	climate	climate	NOUN
fcis-17466	33	39	security	security	NOUN
fcis-17466	33	40	early	early	ADJ
fcis-17466	33	41	warning	warning	NOUN
fcis-17466	33	42	index	index	NOUN
fcis-17466	33	43	that	that	PRON
fcis-17466	33	44	can	can	AUX
fcis-17466	33	45	be	be	AUX
fcis-17466	33	46	influenced	influence	VERB
fcis-17466	33	47	by	by	ADP
fcis-17466	33	48	humanity	humanity	NOUN
fcis-17466	33	49	;	;	PUNCT
fcis-17466	33	50	(	(	PUNCT
fcis-17466	33	51	3	3	X
fcis-17466	33	52	)	)	PUNCT
fcis-17466	33	53	establishing	establish	VERB
fcis-17466	33	54	an	an	DET
fcis-17466	33	55	efficient	efficient	ADJ
fcis-17466	33	56	energy	energy	NOUN
fcis-17466	33	57	consumption	consumption	NOUN
fcis-17466	33	58	warning	warning	NOUN
fcis-17466	33	59	classifier	classifier	NOUN
fcis-17466	33	60	,	,	PUNCT
fcis-17466	33	61	and	and	CCONJ
fcis-17466	33	62	predicting	predict	VERB
fcis-17466	33	63	future	future	ADJ
fcis-17466	33	64	warning	warning	NOUN
fcis-17466	33	65	levels	level	NOUN
fcis-17466	33	66	over	over	ADP
fcis-17466	33	67	the	the	DET
fcis-17466	33	68	next	next	ADJ
fcis-17466	33	69	decade	decade	NOUN
fcis-17466	33	70	.	.	PUNCT
fcis-17466	34	1	this	this	DET
fcis-17466	34	2	paper	paper	NOUN
fcis-17466	34	3	is	be	AUX
fcis-17466	34	4	intended	intend	VERB
fcis-17466	34	5	to	to	PART
fcis-17466	34	6	predict	predict	VERB
fcis-17466	34	7	the	the	DET
fcis-17466	34	8	highest	high	ADJ
fcis-17466	34	9	surface	surface	NOUN
fcis-17466	34	10	temperatures	temperature	NOUN
fcis-17466	34	11	for	for	ADP
fcis-17466	34	12	the	the	DET
fcis-17466	34	13	next	next	ADJ
fcis-17466	34	14	century	century	NOUN
fcis-17466	34	15	,	,	PUNCT
fcis-17466	34	16	as	as	ADV
fcis-17466	34	17	well	well	ADV
fcis-17466	34	18	as	as	ADP
fcis-17466	34	19	offer	offer	VERB
fcis-17466	34	20	a	a	DET
fcis-17466	34	21	new	new	ADJ
fcis-17466	34	22	tool	tool	NOUN
fcis-17466	34	23	for	for	ADP
fcis-17466	34	24	global	global	ADJ
fcis-17466	34	25	climate	climate	NOUN
fcis-17466	34	26	prevention	prevention	NOUN
fcis-17466	34	27	,	,	PUNCT
fcis-17466	34	28	and	and	CCONJ
fcis-17466	34	29	provide	provide	VERB
fcis-17466	34	30	practical	practical	ADJ
fcis-17466	34	31	application	application	NOUN
fcis-17466	34	32	value	value	NOUN
fcis-17466	34	33	to	to	ADP
fcis-17466	34	34	policymakers	policymaker	NOUN
fcis-17466	34	35	in	in	ADP
fcis-17466	34	36	finance	finance	NOUN
fcis-17466	34	37	,	,	PUNCT
fcis-17466	34	38	energy	energy	NOUN
fcis-17466	34	39	,	,	PUNCT
fcis-17466	34	40	and	and	CCONJ
fcis-17466	34	41	environmental	environmental	ADJ
fcis-17466	34	42	sectors	sector	NOUN
fcis-17466	34	43	.	.	PUNCT
fcis-17466	35	1	the	the	DET
fcis-17466	35	2	subsequent	subsequent	ADJ
fcis-17466	35	3	research	research	NOUN
fcis-17466	35	4	will	will	AUX
fcis-17466	35	5	unfold	unfold	VERB
fcis-17466	35	6	in	in	ADP
fcis-17466	35	7	sections	section	NOUN
fcis-17466	35	8	including	include	VERB
fcis-17466	35	9	"	"	PUNCT
fcis-17466	35	10	literature	literature	NOUN
fcis-17466	35	11	review	review	NOUN
fcis-17466	35	12	,	,	PUNCT
fcis-17466	35	13	"	"	PUNCT
fcis-17466	35	14	"	"	PUNCT
fcis-17466	35	15	methodology	methodology	NOUN
fcis-17466	35	16	,	,	PUNCT
fcis-17466	35	17	"	"	PUNCT
fcis-17466	35	18	"	"	PUNCT
fcis-17466	35	19	result	result	VERB
fcis-17466	35	20	analysis	analysis	NOUN
fcis-17466	35	21	,	,	PUNCT
fcis-17466	35	22	"	"	PUNCT
fcis-17466	35	23	and	and	CCONJ
fcis-17466	35	24	"	"	PUNCT
fcis-17466	35	25	conclusions	conclusion	NOUN
fcis-17466	35	26	and	and	CCONJ
fcis-17466	35	27	recommendations	recommendation	NOUN
fcis-17466	35	28	.	.	PUNCT
fcis-17466	35	29	"	"	PUNCT
fcis-17466	36	1	2	2	X
fcis-17466	36	2	.	.	X
fcis-17466	36	3	literature	literature	NOUN
fcis-17466	36	4	review	review	VERB
fcis-17466	36	5	2.1	2.1	NUM
fcis-17466	36	6	.	.	PUNCT
fcis-17466	37	1	research	research	NOUN
fcis-17466	37	2	on	on	ADP
fcis-17466	37	3	temperature	temperature	NOUN
fcis-17466	37	4	prediction	prediction	NOUN
fcis-17466	37	5	the	the	DET
fcis-17466	37	6	academic	academic	ADJ
fcis-17466	37	7	community	community	NOUN
fcis-17466	37	8	is	be	AUX
fcis-17466	37	9	gradually	gradually	ADV
fcis-17466	37	10	shifting	shift	VERB
fcis-17466	37	11	from	from	ADP
fcis-17466	37	12	machine	machine	NOUN
fcis-17466	37	13	learning	learn	VERB
fcis-17466	37	14	to	to	ADP
fcis-17466	37	15	deep	deep	ADJ
fcis-17466	37	16	learning	learning	NOUN
fcis-17466	37	17	for	for	ADP
fcis-17466	37	18	temperature	temperature	NOUN
fcis-17466	37	19	prediction	prediction	NOUN
fcis-17466	37	20	.	.	PUNCT
fcis-17466	38	1	in	in	ADP
fcis-17466	38	2	the	the	DET
fcis-17466	38	3	realm	realm	NOUN
fcis-17466	38	4	of	of	ADP
fcis-17466	38	5	deep	deep	ADJ
fcis-17466	38	6	learning	learning	NOUN
fcis-17466	38	7	models	model	NOUN
fcis-17466	38	8	,	,	PUNCT
fcis-17466	38	9	convolutional	convolutional	ADJ
fcis-17466	38	10	neural	neural	ADJ
fcis-17466	38	11	networks	network	NOUN
fcis-17466	38	12	(	(	PUNCT
fcis-17466	38	13	cnn	cnn	PROPN
fcis-17466	38	14	)	)	PUNCT
fcis-17466	38	15	and	and	CCONJ
fcis-17466	38	16	long	long	ADJ
fcis-17466	38	17	short	short	ADJ
fcis-17466	38	18	-	-	PUNCT
fcis-17466	38	19	term	term	NOUN
fcis-17466	38	20	memory	memory	NOUN
fcis-17466	38	21	networks	network	NOUN
fcis-17466	38	22	(	(	PUNCT
fcis-17466	38	23	lstm	lstm	NOUN
fcis-17466	38	24	)	)	PUNCT
fcis-17466	38	25	are	be	AUX
fcis-17466	38	26	commonly	commonly	ADV
fcis-17466	38	27	used	use	VERB
fcis-17466	38	28	for	for	ADP
fcis-17466	38	29	temperature	temperature	NOUN
fcis-17466	38	30	prediction	prediction	NOUN
fcis-17466	38	31	.	.	PUNCT
fcis-17466	39	1	for	for	ADP
fcis-17466	39	2	example	example	NOUN
fcis-17466	39	3	,	,	PUNCT
fcis-17466	39	4	han	han	PROPN
fcis-17466	39	5	(	(	PUNCT
fcis-17466	39	6	2023	2023	NUM
fcis-17466	39	7	)	)	PUNCT
fcis-17466	39	8	and	and	CCONJ
fcis-17466	39	9	colleagues	colleague	NOUN
fcis-17466	39	10	have	have	VERB
fcis-17466	39	11	combined	combine	VERB
fcis-17466	39	12	cnns	cnn	NOUN
fcis-17466	39	13	with	with	ADP
fcis-17466	39	14	gated	gate	VERB
fcis-17466	39	15	recurrent	recurrent	ADJ
fcis-17466	39	16	unit	unit	NOUN
fcis-17466	39	17	(	(	PUNCT
fcis-17466	39	18	gru	gru	NOUN
fcis-17466	39	19	)	)	PUNCT
fcis-17466	39	20	networks	network	NOUN
fcis-17466	39	21	to	to	PART
fcis-17466	39	22	study	study	VERB
fcis-17466	39	23	sea	sea	NOUN
fcis-17466	39	24	surface	surface	NOUN
fcis-17466	39	25	temperatures	temperature	NOUN
fcis-17466	39	26	[	[	X
fcis-17466	39	27	12	12	NUM
fcis-17466	39	28	]	]	PUNCT
fcis-17466	39	29	,	,	PUNCT
fcis-17466	39	30	while	while	SCONJ
fcis-17466	39	31	choi	choi	NOUN
fcis-17466	39	32	(	(	PUNCT
fcis-17466	39	33	2023	2023	NUM
fcis-17466	39	34	)	)	PUNCT
fcis-17466	39	35	et	et	PROPN
fcis-17466	39	36	al	al	PROPN
fcis-17466	39	37	.	.	PROPN
fcis-17466	39	38	have	have	AUX
fcis-17466	39	39	utilized	utilize	VERB
fcis-17466	39	40	lstms	lstms	NOUN
fcis-17466	39	41	to	to	PART
fcis-17466	39	42	predict	predict	VERB
fcis-17466	39	43	sea	sea	NOUN
fcis-17466	39	44	surface	surface	NOUN
fcis-17466	39	45	temperatures	temperature	NOUN
fcis-17466	39	46	near	near	ADP
fcis-17466	39	47	the	the	DET
fcis-17466	39	48	korean	korean	ADJ
fcis-17466	39	49	peninsula	peninsula	NOUN
fcis-17466	40	1	[	[	X
fcis-17466	40	2	13	13	NUM
fcis-17466	40	3	]	]	PUNCT
fcis-17466	40	4	.	.	PUNCT
fcis-17466	41	1	these	these	DET
fcis-17466	41	2	deep	deep	ADJ
fcis-17466	41	3	learning	learning	NOUN
fcis-17466	41	4	models	model	NOUN
fcis-17466	41	5	have	have	AUX
fcis-17466	41	6	demonstrated	demonstrate	VERB
fcis-17466	41	7	good	good	ADJ
fcis-17466	41	8	performance	performance	NOUN
fcis-17466	41	9	and	and	CCONJ
fcis-17466	41	10	low	low	ADJ
fcis-17466	41	11	error	error	NOUN
fcis-17466	41	12	in	in	ADP
fcis-17466	41	13	temperature	temperature	NOUN
fcis-17466	41	14	predictions	prediction	NOUN
fcis-17466	41	15	.	.	PUNCT
fcis-17466	42	1	farhangi	farhangi	PROPN
fcis-17466	42	2	(	(	PUNCT
fcis-17466	42	3	2023	2023	NUM
fcis-17466	42	4	)	)	PUNCT
fcis-17466	42	5	compared	compare	VERB
fcis-17466	42	6	the	the	DET
fcis-17466	42	7	differences	difference	NOUN
fcis-17466	42	8	in	in	ADP
fcis-17466	42	9	sea	sea	NOUN
fcis-17466	42	10	surface	surface	NOUN
fcis-17466	42	11	temperature	temperature	NOUN
fcis-17466	42	12	prediction	prediction	NOUN
fcis-17466	42	13	using	use	VERB
fcis-17466	42	14	cnns	cnn	NOUN
fcis-17466	42	15	,	,	PUNCT
fcis-17466	42	16	lstms	lstms	ADJ
fcis-17466	42	17	,	,	PUNCT
fcis-17466	42	18	and	and	CCONJ
fcis-17466	42	19	cnn	cnn	PROPN
fcis-17466	42	20	-	-	PUNCT
fcis-17466	42	21	lstm	lstm	ADJ
fcis-17466	42	22	hybrid	hybrid	NOUN
fcis-17466	42	23	models	model	NOUN
fcis-17466	42	24	,	,	PUNCT
fcis-17466	42	25	finding	find	VERB
fcis-17466	42	26	that	that	SCONJ
fcis-17466	42	27	all	all	DET
fcis-17466	42	28	three	three	NUM
fcis-17466	42	29	models	model	NOUN
fcis-17466	42	30	performed	perform	VERB
fcis-17466	42	31	well	well	ADV
fcis-17466	42	32	without	without	ADP
fcis-17466	42	33	significant	significant	ADJ
fcis-17466	42	34	differences	difference	NOUN
fcis-17466	42	35	when	when	SCONJ
fcis-17466	42	36	time	time	NOUN
fcis-17466	42	37	cost	cost	NOUN
fcis-17466	42	38	was	be	AUX
fcis-17466	42	39	not	not	PART
fcis-17466	42	40	considered	consider	VERB
fcis-17466	42	41	[	[	PUNCT
fcis-17466	42	42	14	14	NUM
fcis-17466	42	43	]	]	PUNCT
fcis-17466	42	44	.	.	PUNCT
fcis-17466	43	1	cui	cui	NOUN
fcis-17466	43	2	(	(	PUNCT
fcis-17466	43	3	2022	2022	NUM
fcis-17466	43	4	)	)	PUNCT
fcis-17466	43	5	proposed	propose	VERB
fcis-17466	43	6	the	the	DET
fcis-17466	43	7	establishment	establishment	NOUN
fcis-17466	43	8	of	of	ADP
fcis-17466	43	9	a	a	DET
fcis-17466	43	10	bilstm	bilstm	NOUN
fcis-17466	43	11	model	model	NOUN
fcis-17466	43	12	for	for	ADP
fcis-17466	43	13	predicting	predict	VERB
fcis-17466	43	14	land	land	NOUN
fcis-17466	43	15	surface	surface	NOUN
fcis-17466	43	16	temperatures	temperature	NOUN
fcis-17466	43	17	,	,	PUNCT
fcis-17466	43	18	which	which	PRON
fcis-17466	43	19	showed	show	VERB
fcis-17466	43	20	high	high	ADJ
fcis-17466	43	21	accuracy	accuracy	NOUN
fcis-17466	43	22	when	when	SCONJ
fcis-17466	43	23	compared	compare	VERB
fcis-17466	43	24	with	with	ADP
fcis-17466	43	25	empirical	empirical	ADJ
fcis-17466	43	26	data	datum	NOUN
fcis-17466	43	27	[	[	X
fcis-17466	43	28	15	15	NUM
fcis-17466	43	29	]	]	PUNCT
fcis-17466	43	30	.	.	PUNCT
fcis-17466	44	1	further	further	ADJ
fcis-17466	44	2	review	review	NOUN
fcis-17466	44	3	of	of	ADP
fcis-17466	44	4	the	the	DET
fcis-17466	44	5	literature	literature	NOUN
fcis-17466	44	6	reveals	reveal	VERB
fcis-17466	44	7	the	the	DET
fcis-17466	44	8	bilstm	bilstm	NOUN
fcis-17466	44	9	model	model	NOUN
fcis-17466	44	10	's	's	PART
fcis-17466	44	11	good	good	ADJ
fcis-17466	44	12	performance	performance	NOUN
fcis-17466	44	13	in	in	ADP
fcis-17466	44	14	other	other	ADJ
fcis-17466	44	15	predictive	predictive	ADJ
fcis-17466	44	16	domains	domain	NOUN
fcis-17466	44	17	,	,	PUNCT
fcis-17466	44	18	such	such	ADJ
fcis-17466	44	19	as	as	ADP
fcis-17466	44	20	soil	soil	NOUN
fcis-17466	44	21	structure	structure	NOUN
fcis-17466	44	22	prediction	prediction	NOUN
fcis-17466	44	23	[	[	X
fcis-17466	44	24	16	16	NUM
fcis-17466	44	25	]	]	PUNCT
fcis-17466	44	26	,	,	PUNCT
fcis-17466	44	27	traffic	traffic	NOUN
fcis-17466	44	28	flow	flow	NOUN
fcis-17466	44	29	prediction	prediction	NOUN
fcis-17466	45	1	[	[	X
fcis-17466	45	2	17	17	NUM
fcis-17466	45	3	]	]	PUNCT
fcis-17466	45	4	,	,	PUNCT
fcis-17466	45	5	and	and	CCONJ
fcis-17466	45	6	stock	stock	NOUN
fcis-17466	45	7	price	price	NOUN
fcis-17466	45	8	forecasting	forecasting	NOUN
fcis-17466	46	1	[	[	X
fcis-17466	46	2	18	18	NUM
fcis-17466	46	3	]	]	PUNCT
fcis-17466	46	4	.	.	PUNCT
fcis-17466	47	1	bilstm	bilstm	NOUN
fcis-17466	47	2	has	have	AUX
fcis-17466	47	3	not	not	PART
fcis-17466	47	4	yet	yet	ADV
fcis-17466	47	5	been	be	AUX
fcis-17466	47	6	applied	apply	VERB
fcis-17466	47	7	to	to	PART
fcis-17466	47	8	predict	predict	VERB
fcis-17466	47	9	the	the	DET
fcis-17466	47	10	future	future	ADJ
fcis-17466	47	11	trend	trend	NOUN
fcis-17466	47	12	of	of	ADP
fcis-17466	47	13	global	global	ADJ
fcis-17466	47	14	land	land	NOUN
fcis-17466	47	15	surface	surface	NOUN
fcis-17466	47	16	temperature	temperature	NOUN
fcis-17466	47	17	.	.	PUNCT
fcis-17466	48	1	combining	combine	VERB
fcis-17466	48	2	the	the	DET
fcis-17466	48	3	bilstm	bilstm	NOUN
fcis-17466	48	4	's	's	PART
fcis-17466	48	5	uses	use	NOUN
fcis-17466	48	6	and	and	CCONJ
fcis-17466	48	7	performance	performance	NOUN
fcis-17466	48	8	,	,	PUNCT
fcis-17466	48	9	it	it	PRON
fcis-17466	48	10	may	may	AUX
fcis-17466	48	11	provide	provide	VERB
fcis-17466	48	12	superior	superior	ADJ
fcis-17466	48	13	results	result	NOUN
fcis-17466	48	14	for	for	ADP
fcis-17466	48	15	predicting	predict	VERB
fcis-17466	48	16	land	land	NOUN
fcis-17466	48	17	surface	surface	NOUN
fcis-17466	48	18	temperatures	temperature	NOUN
fcis-17466	48	19	and	and	CCONJ
fcis-17466	48	20	offers	offer	VERB
fcis-17466	48	21	a	a	DET
fcis-17466	48	22	comparison	comparison	NOUN
fcis-17466	48	23	with	with	ADP
fcis-17466	48	24	the	the	DET
fcis-17466	48	25	commonly	commonly	ADV
fcis-17466	48	26	used	use	VERB
fcis-17466	48	27	sarima	sarima	NOUN
fcis-17466	48	28	model	model	NOUN
fcis-17466	48	29	.	.	PUNCT
fcis-17466	49	1	2.2	2.2	NUM
fcis-17466	49	2	.	.	PUNCT
fcis-17466	49	3	research	research	NOUN
fcis-17466	49	4	on	on	ADP
fcis-17466	49	5	early	early	ADJ
fcis-17466	49	6	warning	warning	NOUN
fcis-17466	49	7	systems	system	NOUN
fcis-17466	49	8	early	early	ADJ
fcis-17466	49	9	warning	warning	NOUN
fcis-17466	49	10	systems	system	NOUN
fcis-17466	49	11	function	function	NOUN
fcis-17466	49	12	by	by	ADP
fcis-17466	49	13	alerting	alert	VERB
fcis-17466	49	14	the	the	DET
fcis-17466	49	15	public	public	NOUN
fcis-17466	49	16	when	when	SCONJ
fcis-17466	49	17	pre	pre	ADJ
fcis-17466	49	18	-	-	ADJ
fcis-17466	49	19	set	set	ADJ
fcis-17466	49	20	conditions	condition	NOUN
fcis-17466	49	21	and	and	CCONJ
fcis-17466	49	22	thresholds	threshold	NOUN
fcis-17466	49	23	are	be	AUX
fcis-17466	49	24	triggered	trigger	VERB
fcis-17466	49	25	.	.	PUNCT
fcis-17466	50	1	commonly	commonly	ADV
fcis-17466	50	2	seen	see	VERB
fcis-17466	50	3	early	early	ADJ
fcis-17466	50	4	warning	warning	NOUN
fcis-17466	50	5	systems	system	NOUN
fcis-17466	50	6	include	include	VERB
fcis-17466	50	7	landslide	landslide	NOUN
fcis-17466	50	8	early	early	ADJ
fcis-17466	50	9	warning	warning	NOUN
fcis-17466	50	10	systems	system	NOUN
fcis-17466	50	11	[	[	X
fcis-17466	50	12	19	19	NUM
fcis-17466	50	13	]	]	PUNCT
fcis-17466	50	14	and	and	CCONJ
fcis-17466	50	15	pregnancy	pregnancy	NOUN
fcis-17466	50	16	complication	complication	NOUN
fcis-17466	50	17	warning	warning	NOUN
fcis-17466	50	18	systems	system	NOUN
fcis-17466	50	19	[	[	X
fcis-17466	50	20	20	20	NUM
fcis-17466	50	21	]	]	PUNCT
fcis-17466	50	22	.	.	PUNCT
fcis-17466	51	1	as	as	SCONJ
fcis-17466	51	2	such	such	ADJ
fcis-17466	51	3	,	,	PUNCT
fcis-17466	51	4	early	early	ADJ
fcis-17466	51	5	warning	warning	NOUN
fcis-17466	51	6	systems	system	NOUN
fcis-17466	51	7	are	be	AUX
fcis-17466	51	8	equally	equally	ADV
fcis-17466	51	9	important	important	ADJ
fcis-17466	51	10	for	for	ADP
fcis-17466	51	11	climate	climate	NOUN
fcis-17466	51	12	security	security	NOUN
fcis-17466	51	13	.	.	PUNCT
fcis-17466	52	1	xie	xie	PROPN
fcis-17466	52	2	(	(	PUNCT
fcis-17466	52	3	2019	2019	NUM
fcis-17466	52	4	)	)	PUNCT
fcis-17466	52	5	et	et	PROPN
fcis-17466	52	6	al	al	PROPN
fcis-17466	52	7	.	.	PROPN
fcis-17466	52	8	previously	previously	ADV
fcis-17466	52	9	proposed	propose	VERB
fcis-17466	52	10	using	use	VERB
fcis-17466	52	11	the	the	DET
fcis-17466	52	12	kurtosis	kurtosis	NOUN
fcis-17466	52	13	coefficient	coefficient	NOUN
fcis-17466	52	14	as	as	ADP
fcis-17466	52	15	a	a	DET
fcis-17466	52	16	climate	climate	NOUN
fcis-17466	52	17	system	system	NOUN
fcis-17466	52	18	early	early	ADJ
fcis-17466	52	19	warning	warning	NOUN
fcis-17466	52	20	indicator	indicator	NOUN
fcis-17466	52	21	.	.	PUNCT
fcis-17466	53	1	however	however	ADV
fcis-17466	53	2	,	,	PUNCT
fcis-17466	53	3	the	the	DET
fcis-17466	53	4	results	result	NOUN
fcis-17466	53	5	showed	show	VERB
fcis-17466	53	6	that	that	SCONJ
fcis-17466	53	7	the	the	DET
fcis-17466	53	8	kurtosis	kurtosis	NOUN
fcis-17466	53	9	coefficient	coefficient	NOUN
fcis-17466	53	10	was	be	AUX
fcis-17466	53	11	not	not	PART
fcis-17466	53	12	a	a	DET
fcis-17466	53	13	reliable	reliable	ADJ
fcis-17466	53	14	signal	signal	NOUN
fcis-17466	53	15	of	of	ADP
fcis-17466	53	16	abrupt	abrupt	ADJ
fcis-17466	53	17	climate	climate	NOUN
fcis-17466	53	18	changes	change	NOUN
fcis-17466	53	19	[	[	X
fcis-17466	53	20	21	21	NUM
fcis-17466	53	21	]	]	PUNCT
fcis-17466	53	22	.	.	PUNCT
fcis-17466	54	1	several	several	ADJ
fcis-17466	54	2	years	year	NOUN
fcis-17466	54	3	later	later	ADV
fcis-17466	54	4	,	,	PUNCT
fcis-17466	54	5	xie	xie	PROPN
fcis-17466	54	6	(	(	PUNCT
fcis-17466	54	7	2023	2023	NUM
fcis-17466	54	8	)	)	PUNCT
fcis-17466	54	9	and	and	CCONJ
fcis-17466	54	10	colleagues	colleague	NOUN
fcis-17466	54	11	in	in	ADP
fcis-17466	54	12	follow	follow	NOUN
fcis-17466	54	13	-	-	PUNCT
fcis-17466	54	14	up	up	ADP
fcis-17466	54	15	research	research	NOUN
fcis-17466	54	16	proposed	propose	VERB
fcis-17466	54	17	a	a	DET
fcis-17466	54	18	box	box	NOUN
fcis-17466	54	19	-	-	PUNCT
fcis-17466	54	20	cox	cox	PROPN
fcis-17466	54	21	transformationbased	transformationbase	VERB
fcis-17466	54	22	abrupt	abrupt	ADJ
fcis-17466	54	23	climate	climate	NOUN
fcis-17466	54	24	change	change	NOUN
fcis-17466	54	25	early	early	ADJ
fcis-17466	54	26	warning	warning	NOUN
fcis-17466	54	27	indicator	indicator	NOUN
fcis-17466	54	28	,	,	PUNCT
fcis-17466	54	29	which	which	PRON
fcis-17466	54	30	proved	prove	VERB
fcis-17466	54	31	to	to	PART
fcis-17466	54	32	be	be	AUX
fcis-17466	54	33	effective	effective	ADJ
fcis-17466	54	34	[	[	X
fcis-17466	54	35	22	22	NUM
fcis-17466	54	36	]	]	PUNCT
fcis-17466	54	37	.	.	PUNCT
fcis-17466	55	1	many	many	ADJ
fcis-17466	55	2	studies	study	NOUN
fcis-17466	55	3	have	have	AUX
fcis-17466	55	4	also	also	ADV
fcis-17466	55	5	used	use	VERB
fcis-17466	55	6	climate	climate	NOUN
fcis-17466	55	7	indicators	indicator	NOUN
fcis-17466	55	8	to	to	PART
fcis-17466	55	9	warn	warn	VERB
fcis-17466	55	10	of	of	ADP
fcis-17466	55	11	other	other	ADJ
fcis-17466	55	12	issues	issue	NOUN
fcis-17466	55	13	,	,	PUNCT
fcis-17466	55	14	such	such	ADJ
fcis-17466	55	15	as	as	ADP
fcis-17466	55	16	predicting	predict	VERB
fcis-17466	55	17	preterm	preterm	ADJ
fcis-17466	55	18	crop	crop	NOUN
fcis-17466	55	19	production	production	NOUN
fcis-17466	55	20	[	[	X
fcis-17466	55	21	23	23	NUM
fcis-17466	55	22	]	]	PUNCT
fcis-17466	55	23	and	and	CCONJ
fcis-17466	55	24	public	public	ADJ
fcis-17466	55	25	health	health	NOUN
fcis-17466	56	1	[	[	X
fcis-17466	56	2	24	24	NUM
fcis-17466	56	3	]	]	PUNCT
fcis-17466	56	4	.	.	PUNCT
fcis-17466	57	1	based	base	VERB
fcis-17466	57	2	on	on	ADP
fcis-17466	57	3	existing	exist	VERB
fcis-17466	57	4	research	research	NOUN
fcis-17466	57	5	,	,	PUNCT
fcis-17466	57	6	few	few	ADJ
fcis-17466	57	7	scholars	scholar	NOUN
fcis-17466	57	8	have	have	AUX
fcis-17466	57	9	constructed	construct	VERB
fcis-17466	57	10	a	a	DET
fcis-17466	57	11	precise	precise	ADJ
fcis-17466	57	12	climate	climate	NOUN
fcis-17466	57	13	safety	safety	NOUN
fcis-17466	57	14	early	early	ADJ
fcis-17466	57	15	warning	warning	NOUN
fcis-17466	57	16	system	system	NOUN
fcis-17466	57	17	using	use	VERB
fcis-17466	57	18	mature	mature	NOUN
fcis-17466	57	19	ai	ai	PROPN
fcis-17466	57	20	technology	technology	NOUN
fcis-17466	57	21	.	.	PUNCT
fcis-17466	58	1	the	the	DET
fcis-17466	58	2	climate	climate	NOUN
fcis-17466	58	3	safety	safety	NOUN
fcis-17466	58	4	warning	warning	NOUN
fcis-17466	58	5	system	system	NOUN
fcis-17466	58	6	can	can	AUX
fcis-17466	58	7	also	also	ADV
fcis-17466	58	8	indirectly	indirectly	ADV
fcis-17466	58	9	reflect	reflect	VERB
fcis-17466	58	10	warnings	warning	NOUN
fcis-17466	58	11	for	for	ADP
fcis-17466	58	12	premature	premature	ADJ
fcis-17466	58	13	crop	crop	NOUN
fcis-17466	58	14	production	production	NOUN
fcis-17466	58	15	or	or	CCONJ
fcis-17466	58	16	public	public	ADJ
fcis-17466	58	17	health	health	NOUN
fcis-17466	58	18	,	,	PUNCT
fcis-17466	58	19	making	make	VERB
fcis-17466	58	20	the	the	DET
fcis-17466	58	21	construction	construction	NOUN
fcis-17466	58	22	of	of	ADP
fcis-17466	58	23	such	such	DET
fcis-17466	58	24	a	a	DET
fcis-17466	58	25	system	system	NOUN
fcis-17466	58	26	necessary	necessary	ADJ
fcis-17466	58	27	.	.	PUNCT
fcis-17466	59	1	zhu	zhu	X
fcis-17466	59	2	(	(	PUNCT
fcis-17466	59	3	2021	2021	NUM
fcis-17466	59	4	)	)	PUNCT
fcis-17466	59	5	et	et	PROPN
fcis-17466	59	6	al	al	PROPN
fcis-17466	59	7	.	.	PROPN
fcis-17466	59	8	utilized	utilize	VERB
fcis-17466	59	9	the	the	DET
fcis-17466	59	10	k	k	NOUN
fcis-17466	59	11	-	-	PUNCT
fcis-17466	59	12	means	means	NOUN
fcis-17466	59	13	algorithm	algorithm	NOUN
fcis-17466	59	14	to	to	PART
fcis-17466	59	15	establish	establish	VERB
fcis-17466	59	16	a	a	DET
fcis-17466	59	17	financial	financial	ADJ
fcis-17466	59	18	risk	risk	NOUN
fcis-17466	59	19	warning	warn	VERB
fcis-17466	59	20	[	[	X
fcis-17466	59	21	25	25	NUM
fcis-17466	59	22	]	]	PUNCT
fcis-17466	59	23	,	,	PUNCT
fcis-17466	59	24	and	and	CCONJ
fcis-17466	59	25	seo	seo	NOUN
fcis-17466	59	26	(	(	PUNCT
fcis-17466	59	27	2022	2022	NUM
fcis-17466	59	28	)	)	PUNCT
fcis-17466	59	29	et	et	PROPN
fcis-17466	59	30	al	al	PROPN
fcis-17466	59	31	.	.	PROPN
fcis-17466	59	32	applied	apply	VERB
fcis-17466	59	33	the	the	DET
fcis-17466	59	34	k	k	NOUN
fcis-17466	59	35	-	-	PUNCT
fcis-17466	59	36	means	means	NOUN
fcis-17466	59	37	algorithm	algorithm	NOUN
fcis-17466	59	38	to	to	PART
fcis-17466	59	39	build	build	VERB
fcis-17466	59	40	an	an	DET
fcis-17466	59	41	industrial	industrial	ADJ
fcis-17466	59	42	safety	safety	NOUN
fcis-17466	59	43	warning	warning	NOUN
fcis-17466	59	44	system	system	NOUN
fcis-17466	60	1	[	[	X
fcis-17466	60	2	26	26	NUM
fcis-17466	60	3	]	]	PUNCT
fcis-17466	60	4	.	.	PUNCT
fcis-17466	61	1	while	while	SCONJ
fcis-17466	61	2	some	some	DET
fcis-17466	61	3	scholars	scholar	NOUN
fcis-17466	61	4	in	in	ADP
fcis-17466	61	5	early	early	ADJ
fcis-17466	61	6	warning	warning	NOUN
fcis-17466	61	7	systems	system	NOUN
fcis-17466	61	8	use	use	VERB
fcis-17466	61	9	existing	exist	VERB
fcis-17466	61	10	data	datum	NOUN
fcis-17466	61	11	or	or	CCONJ
fcis-17466	61	12	resources	resource	NOUN
fcis-17466	61	13	as	as	ADP
fcis-17466	61	14	warning	warning	NOUN
fcis-17466	61	15	indicators	indicator	NOUN
fcis-17466	61	16	[	[	X
fcis-17466	61	17	19	19	NUM
fcis-17466	61	18	-	-	SYM
fcis-17466	61	19	20	20	NUM
fcis-17466	61	20	]	]	PUNCT
fcis-17466	61	21	,	,	PUNCT
fcis-17466	61	22	others	other	NOUN
fcis-17466	61	23	construct	construct	VERB
fcis-17466	61	24	warning	warning	NOUN
fcis-17466	61	25	indicators	indicator	NOUN
fcis-17466	61	26	through	through	ADP
fcis-17466	61	27	certain	certain	ADJ
fcis-17466	61	28	algorithms	algorithm	NOUN
fcis-17466	61	29	or	or	CCONJ
fcis-17466	61	30	other	other	ADJ
fcis-17466	61	31	methods	method	NOUN
fcis-17466	61	32	[	[	X
fcis-17466	61	33	25	25	NUM
fcis-17466	61	34	-	-	SYM
fcis-17466	61	35	26	26	NUM
fcis-17466	61	36	]	]	PUNCT
fcis-17466	61	37	.	.	PUNCT
fcis-17466	62	1	in	in	ADP
fcis-17466	62	2	constructing	construct	VERB
fcis-17466	62	3	the	the	DET
fcis-17466	62	4	climate	climate	NOUN
fcis-17466	62	5	security	security	NOUN
fcis-17466	62	6	warning	warning	NOUN
fcis-17466	62	7	system	system	NOUN
fcis-17466	62	8	,	,	PUNCT
fcis-17466	62	9	this	this	DET
fcis-17466	62	10	paper	paper	NOUN
fcis-17466	62	11	aims	aim	VERB
fcis-17466	62	12	to	to	PART
fcis-17466	62	13	create	create	VERB
fcis-17466	62	14	indicators	indicator	NOUN
fcis-17466	62	15	that	that	PRON
fcis-17466	62	16	can	can	AUX
fcis-17466	62	17	be	be	AUX
fcis-17466	62	18	manipulated	manipulate	VERB
fcis-17466	62	19	to	to	PART
fcis-17466	62	20	enable	enable	VERB
fcis-17466	62	21	adjustments	adjustment	NOUN
fcis-17466	62	22	in	in	ADP
fcis-17466	62	23	response	response	NOUN
fcis-17466	62	24	to	to	ADP
fcis-17466	62	25	warnings	warning	NOUN
fcis-17466	62	26	.	.	PUNCT
fcis-17466	63	1	in	in	ADP
fcis-17466	63	2	summary	summary	NOUN
fcis-17466	63	3	,	,	PUNCT
fcis-17466	63	4	this	this	DET
fcis-17466	63	5	paper	paper	NOUN
fcis-17466	63	6	draws	draw	VERB
fcis-17466	63	7	from	from	ADP
fcis-17466	63	8	existing	exist	VERB
fcis-17466	63	9	literature	literature	NOUN
fcis-17466	63	10	to	to	PART
fcis-17466	63	11	use	use	VERB
fcis-17466	63	12	mature	mature	ADJ
fcis-17466	63	13	technological	technological	ADJ
fcis-17466	63	14	algorithms	algorithm	NOUN
fcis-17466	63	15	to	to	PART
fcis-17466	63	16	supplement	supplement	VERB
fcis-17466	63	17	necessary	necessary	ADJ
fcis-17466	63	18	but	but	CCONJ
fcis-17466	63	19	unfinished	unfinished	ADJ
fcis-17466	63	20	work	work	NOUN
fcis-17466	63	21	.	.	PUNCT
fcis-17466	64	1	the	the	DET
fcis-17466	64	2	approach	approach	NOUN
fcis-17466	64	3	and	and	CCONJ
fcis-17466	64	4	contributions	contribution	NOUN
fcis-17466	64	5	of	of	ADP
fcis-17466	64	6	this	this	DET
fcis-17466	64	7	paper	paper	NOUN
fcis-17466	64	8	are	be	AUX
fcis-17466	64	9	as	as	SCONJ
fcis-17466	64	10	follows	follow	VERB
fcis-17466	64	11	:	:	PUNCT
fcis-17466	64	12	(	(	PUNCT
fcis-17466	64	13	1	1	X
fcis-17466	64	14	)	)	PUNCT
fcis-17466	64	15	use	use	VERB
fcis-17466	64	16	the	the	DET
fcis-17466	64	17	bilstm	bilstm	NOUN
fcis-17466	64	18	model	model	NOUN
fcis-17466	64	19	to	to	PART
fcis-17466	64	20	predict	predict	VERB
fcis-17466	64	21	future	future	ADJ
fcis-17466	64	22	land	land	NOUN
fcis-17466	64	23	surface	surface	NOUN
fcis-17466	64	24	maximum	maximum	ADJ
fcis-17466	64	25	temperatures	temperature	NOUN
fcis-17466	64	26	and	and	CCONJ
fcis-17466	64	27	analyze	analyze	VERB
fcis-17466	64	28	the	the	DET
fcis-17466	64	29	good	good	ADJ
fcis-17466	64	30	performance	performance	NOUN
fcis-17466	64	31	of	of	ADP
fcis-17466	64	32	bilstm	bilstm	NOUN
fcis-17466	64	33	for	for	ADP
fcis-17466	64	34	temperature	temperature	NOUN
fcis-17466	64	35	prediction	prediction	NOUN
fcis-17466	64	36	;	;	PUNCT
fcis-17466	64	37	(	(	PUNCT
fcis-17466	64	38	2	2	X
fcis-17466	64	39	)	)	PUNCT
fcis-17466	64	40	utilize	utilize	VERB
fcis-17466	64	41	the	the	DET
fcis-17466	64	42	k	k	PROPN
fcis-17466	64	43	-	-	PUNCT
fcis-17466	64	44	means	mean	VERB
fcis-17466	64	45	clustering	cluster	VERB
fcis-17466	64	46	algorithm	algorithm	NOUN
fcis-17466	64	47	to	to	PART
fcis-17466	64	48	construct	construct	VERB
fcis-17466	64	49	refined	refined	ADJ
fcis-17466	64	50	climate	climate	NOUN
fcis-17466	64	51	safety	safety	NOUN
fcis-17466	64	52	early	early	ADJ
fcis-17466	64	53	warning	warning	NOUN
fcis-17466	64	54	indicators	indicator	NOUN
fcis-17466	64	55	that	that	PRON
fcis-17466	64	56	can	can	AUX
fcis-17466	64	57	be	be	AUX
fcis-17466	64	58	manually	manually	ADV
fcis-17466	64	59	regulated	regulate	VERB
fcis-17466	64	60	;	;	PUNCT
fcis-17466	64	61	(	(	PUNCT
fcis-17466	64	62	3	3	X
fcis-17466	64	63	)	)	PUNCT
fcis-17466	64	64	use	use	VERB
fcis-17466	64	65	the	the	DET
fcis-17466	64	66	svm	svm	PROPN
fcis-17466	64	67	-	-	ADJ
fcis-17466	64	68	rf	rf	ADJ
fcis-17466	64	69	(	(	PUNCT
fcis-17466	64	70	support	support	NOUN
fcis-17466	64	71	vector	vector	NOUN
fcis-17466	64	72	machinerandom	machinerandom	NOUN
fcis-17466	64	73	forest	forest	NOUN
fcis-17466	64	74	)	)	PUNCT
fcis-17466	64	75	model	model	NOUN
fcis-17466	64	76	for	for	ADP
fcis-17466	64	77	predictive	predictive	ADJ
fcis-17466	64	78	control	control	NOUN
fcis-17466	64	79	of	of	ADP
fcis-17466	64	80	energy	energy	NOUN
fcis-17466	64	81	consumption	consumption	NOUN
fcis-17466	64	82	growth	growth	NOUN
fcis-17466	64	83	.	.	PUNCT
fcis-17466	65	1	the	the	DET
fcis-17466	65	2	paper	paper	NOUN
fcis-17466	65	3	aims	aim	VERB
fcis-17466	65	4	to	to	PART
fcis-17466	65	5	complete	complete	VERB
fcis-17466	65	6	the	the	DET
fcis-17466	65	7	above	above	ADJ
fcis-17466	65	8	tasks	task	NOUN
fcis-17466	65	9	and	and	CCONJ
fcis-17466	65	10	contribute	contribute	VERB
fcis-17466	65	11	practical	practical	ADJ
fcis-17466	65	12	application	application	NOUN
fcis-17466	65	13	value	value	NOUN
fcis-17466	65	14	to	to	ADP
fcis-17466	65	15	global	global	ADJ
fcis-17466	65	16	climate	climate	NOUN
fcis-17466	65	17	policy	policy	NOUN
fcis-17466	65	18	.	.	PUNCT
fcis-17466	66	1	3	3	X
fcis-17466	66	2	.	.	X
fcis-17466	66	3	data	datum	NOUN
fcis-17466	66	4	sources	source	NOUN
fcis-17466	66	5	and	and	CCONJ
fcis-17466	66	6	methodology	methodology	NOUN
fcis-17466	66	7	3.1	3.1	NUM
fcis-17466	66	8	.	.	PUNCT
fcis-17466	67	1	data	datum	NOUN
fcis-17466	67	2	sources	source	NOUN
fcis-17466	67	3	when	when	SCONJ
fcis-17466	67	4	researching	research	VERB
fcis-17466	67	5	temperature	temperature	NOUN
fcis-17466	67	6	,	,	PUNCT
fcis-17466	67	7	the	the	DET
fcis-17466	67	8	global	global	ADJ
fcis-17466	67	9	nature	nature	NOUN
fcis-17466	67	10	and	and	CCONJ
fcis-17466	67	11	geographical	geographical	ADJ
fcis-17466	67	12	differences	difference	NOUN
fcis-17466	67	13	must	must	AUX
fcis-17466	67	14	not	not	PART
fcis-17466	67	15	be	be	AUX
fcis-17466	67	16	overlooked	overlook	VERB
fcis-17466	67	17	,	,	PUNCT
fcis-17466	67	18	with	with	ADP
fcis-17466	67	19	variations	variation	NOUN
fcis-17466	67	20	in	in	ADP
fcis-17466	67	21	temperature	temperature	NOUN
fcis-17466	67	22	due	due	ADP
fcis-17466	67	23	to	to	ADP
fcis-17466	67	24	differences	difference	NOUN
fcis-17466	67	25	in	in	ADP
fcis-17466	67	26	latitude	latitude	NOUN
fcis-17466	67	27	and	and	CCONJ
fcis-17466	67	28	longitude	longitude	NOUN
fcis-17466	67	29	and	and	CCONJ
fcis-17466	67	30	influences	influence	NOUN
fcis-17466	67	31	of	of	ADP
fcis-17466	67	32	factors	factor	NOUN
fcis-17466	67	33	such	such	ADJ
fcis-17466	67	34	as	as	ADP
fcis-17466	67	35	monsoons	monsoon	NOUN
fcis-17466	67	36	.	.	PUNCT
fcis-17466	68	1	surface	surface	NOUN
fcis-17466	68	2	maximum	maximum	ADJ
fcis-17466	68	3	temperature	temperature	NOUN
fcis-17466	68	4	has	have	VERB
fcis-17466	68	5	a	a	DET
fcis-17466	68	6	significant	significant	ADJ
fcis-17466	68	7	impact	impact	NOUN
fcis-17466	68	8	on	on	ADP
fcis-17466	68	9	human	human	ADJ
fcis-17466	68	10	society	society	NOUN
fcis-17466	68	11	,	,	PUNCT
fcis-17466	68	12	making	make	VERB
fcis-17466	68	13	it	it	PRON
fcis-17466	68	14	a	a	DET
fcis-17466	68	15	pertinent	pertinent	ADJ
fcis-17466	68	16	subject	subject	NOUN
fcis-17466	68	17	of	of	ADP
fcis-17466	68	18	study	study	NOUN
fcis-17466	68	19	for	for	ADP
fcis-17466	68	20	temperature	temperature	NOUN
fcis-17466	68	21	prediction	prediction	NOUN
fcis-17466	68	22	.	.	PUNCT
fcis-17466	69	1	additionally	additionally	ADV
fcis-17466	69	2	,	,	PUNCT
fcis-17466	69	3	to	to	PART
fcis-17466	69	4	construct	construct	VERB
fcis-17466	69	5	adjustable	adjustable	ADJ
fcis-17466	69	6	early	early	ADJ
fcis-17466	69	7	warning	warning	NOUN
fcis-17466	69	8	indicators	indicator	NOUN
fcis-17466	69	9	,	,	PUNCT
fcis-17466	69	10	the	the	DET
fcis-17466	69	11	global	global	ADJ
fcis-17466	69	12	carbon	carbon	NOUN
fcis-17466	69	13	dioxide	dioxide	NOUN
fcis-17466	69	14	(	(	PUNCT
fcis-17466	69	15	co2	co2	NOUN
fcis-17466	69	16	)	)	PUNCT
fcis-17466	69	17	emissions	emission	NOUN
fcis-17466	69	18	and	and	CCONJ
fcis-17466	69	19	various	various	ADJ
fcis-17466	69	20	primary	primary	ADJ
fcis-17466	69	21	energy	energy	NOUN
fcis-17466	69	22	consumption	consumption	NOUN
fcis-17466	69	23	volumes	volume	NOUN
fcis-17466	69	24	were	be	AUX
fcis-17466	69	25	included	include	VERB
fcis-17466	69	26	.	.	PUNCT
fcis-17466	70	1	data	datum	NOUN
fcis-17466	70	2	on	on	ADP
fcis-17466	70	3	land	land	NOUN
fcis-17466	70	4	annual	annual	ADJ
fcis-17466	70	5	average	average	ADJ
fcis-17466	70	6	high	high	ADJ
fcis-17466	70	7	temperature	temperature	NOUN
fcis-17466	70	8	(	(	PUNCT
fcis-17466	70	9	℃	℃	PROPN
fcis-17466	70	10	)	)	PUNCT
fcis-17466	70	11	from	from	ADP
fcis-17466	70	12	1850	1850	NUM
fcis-17466	70	13	-	-	SYM
fcis-17466	70	14	2022	2022	NUM
fcis-17466	70	15	were	be	AUX
fcis-17466	70	16	collected	collect	VERB
fcis-17466	70	17	from	from	ADP
fcis-17466	70	18	berkeley	berkeley	PROPN
fcis-17466	70	19	earth	earth	NOUN
fcis-17466	70	20	,	,	PUNCT
fcis-17466	70	21	and	and	CCONJ
fcis-17466	70	22	co2	co2	NOUN
fcis-17466	70	23	emissions	emission	NOUN
fcis-17466	70	24	(	(	PUNCT
fcis-17466	70	25	million	million	NUM
fcis-17466	70	26	metric	metric	ADJ
fcis-17466	70	27	tons	ton	NOUN
fcis-17466	70	28	)	)	PUNCT
fcis-17466	70	29	,	,	PUNCT
fcis-17466	70	30	coal	coal	NOUN
fcis-17466	70	31	and	and	CCONJ
fcis-17466	70	32	coke	coke	PROPN
fcis-17466	70	33	consumption	consumption	NOUN
fcis-17466	70	34	(	(	PUNCT
fcis-17466	70	35	million	million	NUM
fcis-17466	70	36	short	short	ADJ
fcis-17466	70	37	tons	ton	NOUN
fcis-17466	70	38	)	)	PUNCT
fcis-17466	70	39	,	,	PUNCT
fcis-17466	70	40	refined	refine	VERB
fcis-17466	70	41	petroleum	petroleum	NOUN
fcis-17466	70	42	products	product	NOUN
fcis-17466	70	43	consumption	consumption	NOUN
fcis-17466	70	44	(	(	PUNCT
fcis-17466	70	45	million	million	NUM
fcis-17466	70	46	barrels	barrel	NOUN
fcis-17466	70	47	per	per	ADP
fcis-17466	70	48	day	day	NOUN
fcis-17466	70	49	)	)	PUNCT
fcis-17466	70	50	,	,	PUNCT
fcis-17466	70	51	dry	dry	ADJ
fcis-17466	70	52	natural	natural	ADJ
fcis-17466	70	53	gas	gas	NOUN
fcis-17466	70	54	consumption	consumption	NOUN
fcis-17466	70	55	(	(	PUNCT
fcis-17466	70	56	billion	billion	NUM
fcis-17466	70	57	cubic	cubic	ADJ
fcis-17466	70	58	feet	foot	NOUN
fcis-17466	70	59	)	)	PUNCT
fcis-17466	70	60	,	,	PUNCT
fcis-17466	70	61	electricity	electricity	NOUN
fcis-17466	70	62	net	net	ADJ
fcis-17466	70	63	consumption	consumption	NOUN
fcis-17466	70	64	(	(	PUNCT
fcis-17466	70	65	billion	billion	NUM
fcis-17466	70	66	kilowatt	kilowatt	NOUN
fcis-17466	70	67	-	-	PUNCT
fcis-17466	70	68	hours	hour	NOUN
fcis-17466	70	69	)	)	PUNCT
fcis-17466	70	70	,	,	PUNCT
fcis-17466	70	71	and	and	CCONJ
fcis-17466	70	72	biofuels	biofuel	VERB
fcis-17466	70	73	consumption	consumption	NOUN
fcis-17466	70	74	(	(	PUNCT
fcis-17466	70	75	million	million	NUM
fcis-17466	70	76	barrels	barrel	NOUN
fcis-17466	70	77	per	per	ADP
fcis-17466	70	78	day	day	NOUN
fcis-17466	70	79	)	)	PUNCT
fcis-17466	70	80	for	for	ADP
fcis-17466	70	81	the	the	DET
fcis-17466	70	82	years	year	NOUN
fcis-17466	70	83	1980	1980	NUM
fcis-17466	70	84	-	-	SYM
fcis-17466	70	85	2021	2021	NUM
fcis-17466	70	86	were	be	AUX
fcis-17466	70	87	sourced	source	VERB
fcis-17466	70	88	from	from	ADP
fcis-17466	70	89	the	the	DET
fcis-17466	70	90	u.s	u.s	PROPN
fcis-17466	70	91	.	.	PROPN
fcis-17466	70	92	energy	energy	PROPN
fcis-17466	70	93	information	information	PROPN
fcis-17466	70	94	administration	administration	PROPN
fcis-17466	70	95	(	(	PUNCT
fcis-17466	70	96	eia	eia	PROPN
fcis-17466	70	97	)	)	PUNCT
fcis-17466	70	98	.	.	PUNCT
fcis-17466	71	1	3.2	3.2	NUM
fcis-17466	71	2	.	.	PUNCT
fcis-17466	72	1	research	research	NOUN
fcis-17466	72	2	methodology	methodology	NOUN
fcis-17466	72	3	3.2.1	3.2.1	NUM
fcis-17466	72	4	.	.	PUNCT
fcis-17466	73	1	bilstm	bilstm	NOUN
fcis-17466	73	2	accurately	accurately	ADV
fcis-17466	73	3	predicting	predict	VERB
fcis-17466	73	4	the	the	DET
fcis-17466	73	5	trend	trend	NOUN
fcis-17466	73	6	of	of	ADP
fcis-17466	73	7	global	global	ADJ
fcis-17466	73	8	land	land	NOUN
fcis-17466	73	9	surface	surface	NOUN
fcis-17466	73	10	maximum	maximum	ADJ
fcis-17466	73	11	temperatures	temperature	NOUN
fcis-17466	73	12	is	be	AUX
fcis-17466	73	13	crucial	crucial	ADJ
fcis-17466	73	14	to	to	ADP
fcis-17466	73	15	understanding	understanding	NOUN
fcis-17466	73	16	and	and	CCONJ
fcis-17466	73	17	formulating	formulate	VERB
fcis-17466	73	18	appropriate	appropriate	ADJ
fcis-17466	73	19	climate	climate	NOUN
fcis-17466	73	20	policies	policy	NOUN
fcis-17466	73	21	.	.	PUNCT
fcis-17466	74	1	this	this	DET
fcis-17466	74	2	paper	paper	NOUN
fcis-17466	74	3	uses	use	VERB
fcis-17466	74	4	a	a	DET
fcis-17466	74	5	bidirectional	bidirectional	ADJ
fcis-17466	74	6	long	long	ADJ
fcis-17466	74	7	short	short	ADJ
fcis-17466	74	8	-	-	PUNCT
fcis-17466	74	9	term	term	NOUN
fcis-17466	74	10	memory	memory	NOUN
fcis-17466	74	11	(	(	PUNCT
fcis-17466	74	12	bilstm	bilstm	NOUN
fcis-17466	74	13	)	)	PUNCT
fcis-17466	74	14	neural	neural	ADJ
fcis-17466	74	15	network	network	NOUN
fcis-17466	74	16	model	model	NOUN
fcis-17466	74	17	for	for	ADP
fcis-17466	74	18	time	time	NOUN
fcis-17466	74	19	series	series	PROPN
fcis-17466	74	20	prediction	prediction	NOUN
fcis-17466	74	21	to	to	PART
fcis-17466	74	22	capture	capture	VERB
fcis-17466	74	23	the	the	DET
fcis-17466	74	24	13	13	NUM
fcis-17466	74	25	historical	historical	ADJ
fcis-17466	74	26	temperature	temperature	NOUN
fcis-17466	74	27	data	datum	NOUN
fcis-17466	74	28	relationships	relationship	NOUN
fcis-17466	74	29	and	and	CCONJ
fcis-17466	74	30	provide	provide	VERB
fcis-17466	74	31	accurate	accurate	ADJ
fcis-17466	74	32	predictions	prediction	NOUN
fcis-17466	74	33	effectively	effectively	ADV
fcis-17466	74	34	.	.	PUNCT
fcis-17466	75	1	the	the	DET
fcis-17466	75	2	bilstm	bilstm	NOUN
fcis-17466	75	3	's	's	PART
fcis-17466	75	4	basic	basic	ADJ
fcis-17466	75	5	structure	structure	NOUN
fcis-17466	75	6	is	be	AUX
fcis-17466	75	7	shown	show	VERB
fcis-17466	75	8	in	in	ADP
fcis-17466	75	9	figure	figure	NOUN
fcis-17466	75	10	1	1	NUM
fcis-17466	75	11	.	.	PUNCT
fcis-17466	76	1	the	the	DET
fcis-17466	76	2	unidirectional	unidirectional	ADJ
fcis-17466	76	3	lstm	lstm	NOUN
fcis-17466	76	4	contains	contain	VERB
fcis-17466	76	5	forget	forget	VERB
fcis-17466	76	6	gates	gate	NOUN
fcis-17466	76	7	tf	tf	INTJ
fcis-17466	76	8	,	,	PUNCT
fcis-17466	76	9	input	input	NOUN
fcis-17466	76	10	gates	gate	NOUN
fcis-17466	76	11	ti	ti	NOUN
fcis-17466	76	12	,	,	PUNCT
fcis-17466	76	13	and	and	CCONJ
fcis-17466	76	14	output	output	NOUN
fcis-17466	76	15	gates	gate	NOUN
fcis-17466	76	16	to	to	PART
fcis-17466	76	17	and	and	CCONJ
fcis-17466	76	18	is	be	AUX
fcis-17466	76	19	represented	represent	VERB
fcis-17466	76	20	with	with	ADP
fcis-17466	76	21	different	different	ADJ
fcis-17466	76	22	gate	gate	NOUN
fcis-17466	76	23	weight	weight	NOUN
fcis-17466	76	24	matrices	matrix	NOUN
fcis-17466	76	25	,	,	PUNCT
fcis-17466	76	26	,	,	PUNCT
fcis-17466	76	27	,	,	PUNCT
fcis-17466	76	28	f	f	PROPN
fcis-17466	77	1	i	i	PRON
fcis-17466	77	2	c	c	VERB
fcis-17466	78	1	ow	ow	INTJ
fcis-17466	78	2	w	w	PROPN
fcis-17466	78	3	w	w	PROPN
fcis-17466	78	4	w	w	PROPN
fcis-17466	78	5	,	,	PUNCT
fcis-17466	78	6	and	and	CCONJ
fcis-17466	78	7	bias	bias	NOUN
fcis-17466	78	8	vectors	vector	NOUN
fcis-17466	78	9	,	,	PUNCT
fcis-17466	78	10	,	,	PUNCT
fcis-17466	78	11	,	,	PUNCT
fcis-17466	78	12	f	f	PROPN
fcis-17466	79	1	i	i	PRON
fcis-17466	79	2	c	c	VERB
fcis-17466	79	3	ob	ob	PROPN
fcis-17466	79	4	b	b	PROPN
fcis-17466	79	5	b	b	PROPN
fcis-17466	79	6	b	b	PROPN
fcis-17466	79	7	.	.	PUNCT
fcis-17466	80	1	the	the	DET
fcis-17466	80	2	formulae	formulae	NOUN
fcis-17466	80	3	for	for	ADP
fcis-17466	80	4	these	these	DET
fcis-17466	80	5	gates	gate	NOUN
fcis-17466	80	6	are	be	AUX
fcis-17466	80	7	:	:	PUNCT
fcis-17466	80	8	forget	forget	VERB
fcis-17466	80	9	gate	gate	NOUN
fcis-17466	81	1	tf	tf	X
fcis-17466	81	2	:	:	PUNCT
fcis-17466	81	3			PROPN
fcis-17466	81	4			ADJ
fcis-17466	81	5	1	1	NOUN
fcis-17466	81	6	,	,	PUNCT
fcis-17466	81	7	.t	.t	PROPN
fcis-17466	82	1	f	f	PROPN
fcis-17466	82	2	t	t	PROPN
fcis-17466	82	3	t	t	PROPN
fcis-17466	82	4	ff	ff	NOUN
fcis-17466	82	5	w	w	PROPN
fcis-17466	82	6	h	h	NOUN
fcis-17466	82	7	x	x	PROPN
fcis-17466	82	8	b	b	PROPN
fcis-17466	82	9			PROPN
fcis-17466	82	10			PROPN
fcis-17466	82	11			PROPN
fcis-17466	82	12	(	(	PUNCT
fcis-17466	82	13	1	1	X
fcis-17466	82	14	)	)	PUNCT
fcis-17466	82	15	input	input	NOUN
fcis-17466	82	16	gate	gate	NOUN
fcis-17466	82	17	ti	ti	NOUN
fcis-17466	82	18	:	:	PUNCT
fcis-17466	82	19			VERB
fcis-17466	82	20			ADJ
fcis-17466	82	21	1	1	NOUN
fcis-17466	82	22	,	,	PUNCT
fcis-17466	82	23	.t	.t	PROPN
fcis-17466	83	1	i	i	PRON
fcis-17466	83	2	t	t	PROPN
fcis-17466	83	3	t	t	PROPN
fcis-17466	83	4	ii	ii	PROPN
fcis-17466	83	5	w	w	PROPN
fcis-17466	83	6	h	h	PROPN
fcis-17466	83	7	x	x	PROPN
fcis-17466	83	8	b	b	PROPN
fcis-17466	83	9			PROPN
fcis-17466	83	10			PROPN
fcis-17466	83	11			PROPN
fcis-17466	83	12	(	(	PUNCT
fcis-17466	83	13	2	2	X
fcis-17466	83	14	)	)	PUNCT
fcis-17466	83	15	candidate	candidate	NOUN
fcis-17466	83	16	cell	cell	NOUN
fcis-17466	83	17	state	state	NOUN
fcis-17466	83	18	tc	tc	PROPN
fcis-17466	83	19	:	:	PUNCT
fcis-17466	83	20			PROPN
fcis-17466	83	21			PROPN
fcis-17466	83	22			ADJ
fcis-17466	83	23	1tanh	1tanh	NOUN
fcis-17466	83	24	,	,	PUNCT
fcis-17466	83	25	.t	.t	PROPN
fcis-17466	84	1	c	c	PROPN
fcis-17466	84	2	t	t	PROPN
fcis-17466	84	3	t	t	PROPN
fcis-17466	84	4	cc	cc	PROPN
fcis-17466	84	5	w	w	PROPN
fcis-17466	84	6	h	h	PROPN
fcis-17466	84	7	x	x	PROPN
fcis-17466	84	8	b	b	PROPN
fcis-17466	84	9			PROPN
fcis-17466	84	10			PROPN
fcis-17466	84	11	(	(	PUNCT
fcis-17466	84	12	3	3	X
fcis-17466	84	13	)	)	PUNCT
fcis-17466	84	14	new	new	ADJ
fcis-17466	84	15	cell	cell	NOUN
fcis-17466	84	16	state	state	NOUN
fcis-17466	84	17	tc	tc	X
fcis-17466	84	18	:	:	PUNCT
fcis-17466	84	19			PROPN
fcis-17466	84	20	1	1	NUM
fcis-17466	84	21	.t	.t	PROPN
fcis-17466	84	22	t	t	PROPN
fcis-17466	84	23	t	t	PROPN
fcis-17466	84	24	t	t	PROPN
fcis-17466	85	1	tc	tc	INTJ
fcis-17466	85	2	f	f	PROPN
fcis-17466	86	1	c	c	NOUN
fcis-17466	86	2	i	i	PRON
fcis-17466	86	3	c	c	PROPN
fcis-17466	86	4			PROPN
fcis-17466	86	5			PROPN
fcis-17466	86	6			PROPN
fcis-17466	86	7	(	(	PUNCT
fcis-17466	86	8	4	4	NUM
fcis-17466	86	9	)	)	PUNCT
fcis-17466	86	10	output	output	NOUN
fcis-17466	86	11	gate	gate	NOUN
fcis-17466	86	12	to	to	ADP
fcis-17466	86	13	:	:	PUNCT
fcis-17466	86	14			VERB
fcis-17466	86	15			ADJ
fcis-17466	86	16	1	1	NOUN
fcis-17466	86	17	,	,	PUNCT
fcis-17466	86	18	.t	.t	PROPN
fcis-17466	87	1	o	o	PROPN
fcis-17466	87	2	t	t	PROPN
fcis-17466	87	3	t	t	X
fcis-17466	87	4	oo	oo	INTJ
fcis-17466	87	5	w	w	PROPN
fcis-17466	87	6	h	h	NOUN
fcis-17466	87	7	x	x	PROPN
fcis-17466	87	8	b	b	PROPN
fcis-17466	87	9			PROPN
fcis-17466	87	10			PROPN
fcis-17466	87	11			PROPN
fcis-17466	87	12	(	(	PUNCT
fcis-17466	87	13	5	5	X
fcis-17466	87	14	)	)	PUNCT
fcis-17466	87	15	current	current	ADJ
fcis-17466	87	16	information	information	NOUN
fcis-17466	87	17	output	output	NOUN
fcis-17466	87	18	th	th	X
fcis-17466	87	19	:	:	PUNCT
fcis-17466	87	20			PROPN
fcis-17466	87	21	tanh	tanh	PROPN
fcis-17466	87	22	.t	.t	PROPN
fcis-17466	88	1	t	t	PROPN
fcis-17466	88	2	th	th	X
fcis-17466	88	3	o	o	X
fcis-17466	88	4	c	c	PROPN
fcis-17466	88	5			NOUN
fcis-17466	88	6	(	(	PUNCT
fcis-17466	88	7	6	6	NUM
fcis-17466	88	8	)	)	PUNCT
fcis-17466	88	9	figure	figure	NOUN
fcis-17466	88	10	1	1	NUM
fcis-17466	88	11	.	.	PUNCT
fcis-17466	88	12	represents	represent	VERB
fcis-17466	88	13	the	the	DET
fcis-17466	88	14	bilstm	bilstm	NOUN
fcis-17466	88	15	model	model	NOUN
fcis-17466	88	16	structure	structure	NOUN
fcis-17466	88	17	the	the	DET
fcis-17466	88	18	structure	structure	NOUN
fcis-17466	88	19	's	's	PART
fcis-17466	88	20	formulas	formula	NOUN
fcis-17466	88	21	are	be	AUX
fcis-17466	88	22	as	as	SCONJ
fcis-17466	88	23	follows	follow	VERB
fcis-17466	88	24	:	:	PUNCT
fcis-17466	88	25			PROPN
fcis-17466	88	26			PROPN
fcis-17466	88	27			ADJ
fcis-17466	88	28	1	1	NOUN
fcis-17466	88	29	1	1	NUM
fcis-17466	88	30	,	,	PUNCT
fcis-17466	88	31	,	,	PUNCT
fcis-17466	88	32	,	,	PUNCT
fcis-17466	88	33	1	1	NUM
fcis-17466	88	34	,	,	PUNCT
fcis-17466	88	35	,	,	PUNCT
fcis-17466	88	36	t	t	PROPN
fcis-17466	88	37	t	t	PROPN
fcis-17466	88	38	t	t	PROPN
fcis-17466	88	39	th	th	X
fcis-17466	88	40	lstm	lstm	PROPN
fcis-17466	88	41	h	h	NOUN
fcis-17466	88	42	x	x	PROPN
fcis-17466	88	43	c	c	PROPN
fcis-17466	88	44	t	t	PROPN
fcis-17466	88	45	t	t	VERB
fcis-17466	88	46			ADJ
fcis-17466	88	47			PROPN
fcis-17466	88	48			PROPN
fcis-17466	88	49			X
fcis-17466	88	50	(	(	PUNCT
fcis-17466	88	51	7	7	NUM
fcis-17466	88	52	)	)	PUNCT
fcis-17466	88	53			NOUN
fcis-17466	88	54			PROPN
fcis-17466	88	55			NOUN
fcis-17466	88	56	1	1	NOUN
fcis-17466	88	57	1	1	NUM
fcis-17466	88	58	,	,	PUNCT
fcis-17466	88	59	,	,	PUNCT
fcis-17466	88	60	,	,	PUNCT
fcis-17466	88	61	,	,	PUNCT
fcis-17466	88	62	1	1	NUM
fcis-17466	88	63	,	,	PUNCT
fcis-17466	88	64	t	t	PROPN
fcis-17466	88	65	t	t	PROPN
fcis-17466	88	66	t	t	PROPN
fcis-17466	88	67	th	th	X
fcis-17466	88	68	lstm	lstm	PROPN
fcis-17466	88	69	h	h	NOUN
fcis-17466	88	70	x	x	PUNCT
fcis-17466	88	71	c	c	NOUN
fcis-17466	88	72	t	t	PROPN
fcis-17466	88	73	t	t	DET
fcis-17466	88	74			ADJ
fcis-17466	88	75			NOUN
fcis-17466	88	76			PUNCT
fcis-17466	89	1			PROPN
fcis-17466	89	2	(	(	PUNCT
fcis-17466	89	3	8)	8)	NUM
fcis-17466	89	4	,	,	PUNCT
fcis-17466	89	5	.t	.t	PROPN
fcis-17466	89	6	t	t	PROPN
fcis-17466	89	7	th	th	X
fcis-17466	89	8	h	h	NOUN
fcis-17466	89	9	h	h	NOUN
fcis-17466	89	10			NOUN
fcis-17466	89	11			VERB
fcis-17466	89	12			PROPN
fcis-17466	89	13			PROPN
fcis-17466	89	14			PROPN
fcis-17466	89	15	(	(	PUNCT
fcis-17466	89	16	9	9	NUM
fcis-17466	89	17	)	)	PUNCT
fcis-17466	89	18	3.2.2	3.2.2	NUM
fcis-17466	89	19	.	.	PUNCT
fcis-17466	90	1	fourier	fourier	PROPN
fcis-17466	90	2	series	series	PROPN
fcis-17466	90	3	the	the	DET
fcis-17466	90	4	fourier	fourier	PROPN
fcis-17466	90	5	series	series	NOUN
fcis-17466	90	6	represents	represent	VERB
fcis-17466	90	7	a	a	DET
fcis-17466	90	8	periodic	periodic	ADJ
fcis-17466	90	9	function	function	NOUN
fcis-17466	90	10	as	as	ADP
fcis-17466	90	11	a	a	DET
fcis-17466	90	12	sum	sum	NOUN
fcis-17466	90	13	of	of	ADP
fcis-17466	90	14	sine	sine	NOUN
fcis-17466	90	15	and	and	CCONJ
fcis-17466	90	16	cosine	cosine	NOUN
fcis-17466	90	17	waves	wave	NOUN
fcis-17466	90	18	,	,	PUNCT
fcis-17466	90	19	serving	serve	VERB
fcis-17466	90	20	to	to	PART
fcis-17466	90	21	estimate	estimate	VERB
fcis-17466	90	22	the	the	DET
fcis-17466	90	23	cyclical	cyclical	ADJ
fcis-17466	90	24	nature	nature	NOUN
fcis-17466	90	25	of	of	ADP
fcis-17466	90	26	the	the	DET
fcis-17466	90	27	land	land	NOUN
fcis-17466	90	28	temperature	temperature	NOUN
fcis-17466	90	29	growth	growth	NOUN
fcis-17466	90	30	rate	rate	NOUN
fcis-17466	90	31	.	.	PUNCT
fcis-17466	91	1	the	the	DET
fcis-17466	91	2	fourier	fourier	PROPN
fcis-17466	91	3	series	series	NOUN
fcis-17466	91	4	can	can	AUX
fcis-17466	91	5	be	be	AUX
fcis-17466	91	6	defined	define	VERB
fcis-17466	91	7	as	as	ADP
fcis-17466	91	8	the	the	DET
fcis-17466	91	9	following	follow	VERB
fcis-17466	91	10	infinite	infinite	ADJ
fcis-17466	91	11	series	series	NOUN
fcis-17466	91	12	:	:	PUNCT
fcis-17466	91	13			NOUN
fcis-17466	91	14			SYM
fcis-17466	91	15			NOUN
fcis-17466	91	16			PUNCT
fcis-17466	91	17			NOUN
fcis-17466	92	1			NOUN
fcis-17466	93	1	0	0	NOUN
fcis-17466	93	2	0	0	NUM
fcis-17466	93	3	01	01	NUM
fcis-17466	93	4	cos	cos	PROPN
fcis-17466	93	5	sin	sin	PROPN
fcis-17466	93	6	.n	.n	PROPN
fcis-17466	93	7	nn	nn	PROPN
fcis-17466	94	1	f	f	PROPN
fcis-17466	94	2	t	t	PROPN
fcis-17466	94	3	a	a	PRON
fcis-17466	94	4	a	a	DET
fcis-17466	94	5	nw	nw	PROPN
fcis-17466	94	6	t	t	PROPN
fcis-17466	94	7	b	b	PROPN
fcis-17466	94	8	nw	nw	PROPN
fcis-17466	94	9	t	t	PROPN
fcis-17466	94	10			VERB
fcis-17466	94	11			PROPN
fcis-17466	94	12			PROPN
fcis-17466	94	13			ADJ
fcis-17466	94	14			NOUN
fcis-17466	94	15	(	(	PUNCT
fcis-17466	94	16	10	10	NUM
fcis-17466	94	17	)	)	PUNCT
fcis-17466	94	18			NOUN
fcis-17466	95	1	0	0	NOUN
fcis-17466	95	2	0	0	NUM
fcis-17466	95	3	1	1	NUM
fcis-17466	95	4	,	,	PUNCT
fcis-17466	95	5	t	t	PROPN
fcis-17466	95	6	a	a	DET
fcis-17466	95	7	f	f	X
fcis-17466	95	8	t	t	PROPN
fcis-17466	95	9	dt	dt	X
fcis-17466	95	10	t	t	PROPN
fcis-17466	95	11			NUM
fcis-17466	95	12			PUNCT
fcis-17466	95	13	(	(	PUNCT
fcis-17466	95	14	11	11	NUM
fcis-17466	95	15	)	)	PUNCT
fcis-17466	95	16			NOUN
fcis-17466	95	17			SYM
fcis-17466	95	18			NOUN
fcis-17466	95	19	00	00	NOUN
fcis-17466	95	20	2	2	NUM
fcis-17466	95	21	cos	cos	X
fcis-17466	95	22	,	,	PUNCT
fcis-17466	95	23	t	t	PROPN
fcis-17466	95	24	na	na	NOUN
fcis-17466	95	25	f	f	PROPN
fcis-17466	95	26	t	t	PROPN
fcis-17466	95	27	nw	nw	PROPN
fcis-17466	95	28	t	t	PROPN
fcis-17466	95	29	dt	dt	X
fcis-17466	95	30	t	t	PROPN
fcis-17466	95	31			NUM
fcis-17466	95	32			PUNCT
fcis-17466	95	33	(	(	PUNCT
fcis-17466	95	34	12	12	NUM
fcis-17466	95	35	)	)	PUNCT
fcis-17466	95	36			NOUN
fcis-17466	95	37			PUNCT
fcis-17466	95	38			NOUN
fcis-17466	95	39	00	00	NOUN
fcis-17466	95	40	2	2	NUM
fcis-17466	95	41	sin	sin	NOUN
fcis-17466	95	42	.	.	PUNCT
fcis-17466	96	1	t	t	PROPN
fcis-17466	96	2	nb	nb	INTJ
fcis-17466	96	3	f	f	PROPN
fcis-17466	96	4	t	t	PROPN
fcis-17466	96	5	nw	nw	PROPN
fcis-17466	96	6	t	t	PROPN
fcis-17466	97	1	dt	dt	X
fcis-17466	97	2	t	t	PROPN
fcis-17466	97	3			NUM
fcis-17466	97	4			PUNCT
fcis-17466	97	5	(	(	PUNCT
fcis-17466	97	6	13	13	NUM
fcis-17466	97	7	)	)	PUNCT
fcis-17466	97	8	where	where	SCONJ
fcis-17466	97	9	:	:	PUNCT
fcis-17466	97	10			NOUN
fcis-17466	97	11	f	f	PROPN
fcis-17466	97	12	t	t	PROPN
fcis-17466	97	13	is	be	AUX
fcis-17466	97	14	the	the	DET
fcis-17466	97	15	periodic	periodic	ADJ
fcis-17466	97	16	function	function	NOUN
fcis-17466	97	17	at	at	ADP
fcis-17466	97	18	time	time	NOUN
fcis-17466	97	19	t	t	PROPN
fcis-17466	97	20	;	;	PUNCT
fcis-17466	97	21	0a	0a	PROPN
fcis-17466	97	22	is	be	AUX
fcis-17466	97	23	the	the	DET
fcis-17466	97	24	constant	constant	ADJ
fcis-17466	97	25	term	term	NOUN
fcis-17466	97	26	representing	represent	VERB
fcis-17466	97	27	the	the	DET
fcis-17466	97	28	function	function	NOUN
fcis-17466	97	29	's	's	PART
fcis-17466	97	30	mean	mean	ADJ
fcis-17466	97	31	(	(	PUNCT
fcis-17466	97	32	dc	dc	PROPN
fcis-17466	97	33	component	component	NOUN
fcis-17466	97	34	)	)	PUNCT
fcis-17466	97	35	;	;	PUNCT
fcis-17466	97	36	,	,	PUNCT
fcis-17466	97	37	n	n	CCONJ
fcis-17466	97	38	na	na	PROPN
fcis-17466	97	39	b	b	NOUN
fcis-17466	97	40	are	be	AUX
fcis-17466	97	41	the	the	DET
fcis-17466	97	42	fourier	fourier	ADJ
fcis-17466	97	43	coefficients	coefficient	NOUN
fcis-17466	97	44	indicating	indicate	VERB
fcis-17466	97	45	the	the	DET
fcis-17466	97	46	different	different	ADJ
fcis-17466	97	47	frequencies	frequency	NOUN
fcis-17466	97	48	of	of	ADP
fcis-17466	97	49	the	the	DET
fcis-17466	97	50	sine	sine	ADJ
fcis-17466	97	51	/	/	SYM
fcis-17466	97	52	cosine	cosine	NOUN
fcis-17466	97	53	waves	wave	NOUN
fcis-17466	97	54	'	'	PART
fcis-17466	97	55	amplitudes	amplitude	NOUN
fcis-17466	97	56	;	;	PUNCT
fcis-17466	97	57	is	be	AUX
fcis-17466	97	58	the	the	DET
fcis-17466	97	59	fundamental	fundamental	ADJ
fcis-17466	97	60	frequency	frequency	NOUN
fcis-17466	97	61	related	relate	VERB
fcis-17466	97	62	to	to	ADP
fcis-17466	97	63	the	the	DET
fcis-17466	97	64	periodicity	periodicity	NOUN
fcis-17466	97	65	t	t	NOUN
fcis-17466	97	66	;	;	PUNCT
fcis-17466	97	67	is	be	AUX
fcis-17466	97	68	a	a	DET
fcis-17466	97	69	positive	positive	ADJ
fcis-17466	97	70	integer	integer	NOUN
fcis-17466	97	71	corresponding	correspond	VERB
fcis-17466	97	72	to	to	ADP
fcis-17466	97	73	different	different	ADJ
fcis-17466	97	74	harmonic	harmonic	ADJ
fcis-17466	97	75	frequencies	frequency	NOUN
fcis-17466	97	76	.	.	PUNCT
fcis-17466	98	1	3.2.3	3.2.3	X
fcis-17466	98	2	.	.	X
fcis-17466	98	3	sarima	sarima	VERB
fcis-17466	98	4	the	the	DET
fcis-17466	98	5	performance	performance	NOUN
fcis-17466	98	6	of	of	ADP
fcis-17466	98	7	bilstm	bilstm	NOUN
fcis-17466	98	8	needs	need	VERB
fcis-17466	98	9	comparison	comparison	NOUN
fcis-17466	98	10	with	with	ADP
fcis-17466	98	11	other	other	ADJ
fcis-17466	98	12	models	model	NOUN
fcis-17466	98	13	;	;	PUNCT
fcis-17466	98	14	sarima	sarima	NOUN
fcis-17466	98	15	,	,	PUNCT
fcis-17466	98	16	an	an	DET
fcis-17466	98	17	extension	extension	NOUN
fcis-17466	98	18	of	of	ADP
fcis-17466	98	19	the	the	DET
fcis-17466	98	20	arima	arima	PROPN
fcis-17466	98	21	model	model	NOUN
fcis-17466	98	22	,	,	PUNCT
fcis-17466	98	23	is	be	AUX
fcis-17466	98	24	a	a	DET
fcis-17466	98	25	commonly	commonly	ADV
fcis-17466	98	26	used	use	VERB
fcis-17466	98	27	time	time	NOUN
fcis-17466	98	28	series	series	PROPN
fcis-17466	98	29	forecasting	forecasting	NOUN
fcis-17466	98	30	model	model	NOUN
fcis-17466	98	31	designed	design	VERB
fcis-17466	98	32	for	for	ADP
fcis-17466	98	33	data	datum	NOUN
fcis-17466	98	34	with	with	ADP
fcis-17466	98	35	seasonal	seasonal	ADJ
fcis-17466	98	36	cycles	cycle	NOUN
fcis-17466	98	37	.	.	PUNCT
fcis-17466	99	1	the	the	DET
fcis-17466	99	2	sarima	sarima	NOUN
fcis-17466	99	3	model	model	NOUN
fcis-17466	99	4	integrates	integrate	VERB
fcis-17466	99	5	seasonal	seasonal	ADJ
fcis-17466	99	6	parameters	parameter	NOUN
fcis-17466	99	7	to	to	PART
fcis-17466	99	8	handle	handle	VERB
fcis-17466	99	9	repetition	repetition	NOUN
fcis-17466	99	10	within	within	ADP
fcis-17466	99	11	fixed	fix	VERB
fcis-17466	99	12	seasonal	seasonal	ADJ
fcis-17466	99	13	lengths	length	NOUN
fcis-17466	99	14	and	and	CCONJ
fcis-17466	99	15	has	have	VERB
fcis-17466	99	16	the	the	DET
fcis-17466	99	17	structure	structure	NOUN
fcis-17466	99	18	sarima(p	sarima(p	PROPN
fcis-17466	99	19	,	,	PUNCT
fcis-17466	99	20	d	d	NOUN
fcis-17466	99	21	,	,	PUNCT
fcis-17466	99	22	q)(p	q)(p	ADV
fcis-17466	99	23	,	,	PUNCT
fcis-17466	99	24	d	d	NOUN
fcis-17466	99	25	,	,	PUNCT
fcis-17466	99	26	q)[s	q)[s	PROPN
fcis-17466	99	27	]	]	X
fcis-17466	99	28	,	,	PUNCT
fcis-17466	99	29	where	where	SCONJ
fcis-17466	99	30	p	p	X
fcis-17466	99	31	,	,	PUNCT
fcis-17466	99	32	d	d	PROPN
fcis-17466	99	33	,	,	PUNCT
fcis-17466	99	34	q	q	PROPN
fcis-17466	99	35	have	have	VERB
fcis-17466	99	36	the	the	DET
fcis-17466	99	37	same	same	ADJ
fcis-17466	99	38	definitions	definition	NOUN
fcis-17466	99	39	as	as	ADP
fcis-17466	99	40	in	in	ADP
fcis-17466	99	41	the	the	DET
fcis-17466	99	42	arima	arima	PROPN
fcis-17466	99	43	model	model	NOUN
fcis-17466	99	44	.	.	PUNCT
fcis-17466	100	1	p	p	X
fcis-17466	100	2	,	,	PUNCT
fcis-17466	100	3	d	d	X
fcis-17466	100	4	,	,	PUNCT
fcis-17466	100	5	q	q	PROPN
fcis-17466	100	6	correspond	correspond	NOUN
fcis-17466	100	7	to	to	ADP
fcis-17466	100	8	the	the	DET
fcis-17466	100	9	ar	ar	PROPN
fcis-17466	100	10	,	,	PUNCT
fcis-17466	100	11	i	i	PRON
fcis-17466	100	12	,	,	PUNCT
fcis-17466	100	13	ma	ma	PROPN
fcis-17466	100	14	portions	portion	NOUN
fcis-17466	100	15	of	of	ADP
fcis-17466	100	16	the	the	DET
fcis-17466	100	17	seasonal	seasonal	ADJ
fcis-17466	100	18	cycle	cycle	NOUN
fcis-17466	100	19	,	,	PUNCT
fcis-17466	100	20	with	with	ADP
fcis-17466	100	21	s	s	AUX
fcis-17466	100	22	representing	represent	VERB
fcis-17466	100	23	the	the	DET
fcis-17466	100	24	length	length	NOUN
fcis-17466	100	25	of	of	ADP
fcis-17466	100	26	the	the	DET
fcis-17466	100	27	data	datum	NOUN
fcis-17466	100	28	's	's	PART
fcis-17466	100	29	seasonal	seasonal	ADJ
fcis-17466	100	30	periods	period	NOUN
fcis-17466	100	31	.	.	PUNCT
fcis-17466	101	1	the	the	DET
fcis-17466	101	2	sarima	sarima	NOUN
fcis-17466	101	3	model	model	NOUN
fcis-17466	101	4	requires	require	VERB
fcis-17466	101	5	data	datum	NOUN
fcis-17466	101	6	to	to	PART
fcis-17466	101	7	be	be	AUX
fcis-17466	101	8	stationary	stationary	ADJ
fcis-17466	101	9	;	;	PUNCT
fcis-17466	101	10	otherwise	otherwise	ADV
fcis-17466	101	11	,	,	PUNCT
fcis-17466	101	12	it	it	PRON
fcis-17466	101	13	may	may	AUX
fcis-17466	101	14	introduce	introduce	VERB
fcis-17466	101	15	large	large	ADJ
fcis-17466	101	16	errors	error	NOUN
fcis-17466	101	17	.	.	PUNCT
fcis-17466	102	1	its	its	PRON
fcis-17466	102	2	formula	formula	NOUN
fcis-17466	102	3	is	be	AUX
fcis-17466	102	4	represented	represent	VERB
fcis-17466	102	5	as	as	ADP
fcis-17466	102	6	:	:	PUNCT
fcis-17466	102	7			PROPN
fcis-17466	102	8			NOUN
fcis-17466	102	9			PROPN
fcis-17466	102	10			PROPN
fcis-17466	102	11			NOUN
fcis-17466	102	12			PUNCT
fcis-17466	102	13			NOUN
fcis-17466	103	1			NOUN
fcis-17466	104	1			PROPN
fcis-17466	105	1	2	2	NUM
fcis-17466	105	2	2	2	NUM
fcis-17466	105	3	1	1	NUM
fcis-17466	105	4	2	2	NUM
fcis-17466	105	5	1	1	NUM
fcis-17466	105	6	2	2	NUM
fcis-17466	105	7	2	2	NUM
fcis-17466	105	8	2	2	NUM
fcis-17466	105	9	1	1	NUM
fcis-17466	105	10	2	2	NUM
fcis-17466	105	11	1	1	NUM
fcis-17466	105	12	2	2	NUM
fcis-17466	105	13	1	1	NUM
fcis-17466	105	14	1	1	NUM
fcis-17466	105	15	1	1	NUM
fcis-17466	105	16	1	1	NUM
fcis-17466	105	17	1	1	NUM
fcis-17466	105	18	1	1	NUM
fcis-17466	105	19	.	.	PUNCT
fcis-17466	106	1	ddp	ddp	PROPN
fcis-17466	106	2	s	s	PART
fcis-17466	106	3	s	s	NOUN
fcis-17466	106	4	ps	ps	INTJ
fcis-17466	106	5	s	s	PROPN
fcis-17466	106	6	p	p	NOUN
fcis-17466	106	7	p	p	PROPN
fcis-17466	106	8	t	t	PROPN
fcis-17466	106	9	q	q	X
fcis-17466	106	10	s	s	X
fcis-17466	106	11	s	s	X
fcis-17466	106	12	qs	qs	NOUN
fcis-17466	106	13	q	q	NOUN
fcis-17466	106	14	q	q	PROPN
fcis-17466	106	15	t	t	NOUN
fcis-17466	106	16	l	l	NOUN
fcis-17466	106	17	l	l	X
fcis-17466	106	18	l	l	X
fcis-17466	106	19	l	l	NOUN
fcis-17466	106	20	l	l	NOUN
fcis-17466	106	21	l	l	NOUN
fcis-17466	106	22	l	l	X
fcis-17466	106	23	l	l	X
fcis-17466	106	24	y	y	NOUN
fcis-17466	106	25	l	l	NOUN
fcis-17466	106	26	l	l	NOUN
fcis-17466	106	27	l	l	X
fcis-17466	106	28	l	l	NOUN
fcis-17466	106	29	l	l	NOUN
fcis-17466	106	30	l	l	NOUN
fcis-17466	106	31			ADJ
fcis-17466	106	32			ADJ
fcis-17466	106	33			ADJ
fcis-17466	106	34			NOUN
fcis-17466	106	35			NOUN
fcis-17466	106	36			NOUN
fcis-17466	106	37			X
fcis-17466	106	38			SYM
fcis-17466	106	39			PROPN
fcis-17466	106	40			PROPN
fcis-17466	106	41			PROPN
fcis-17466	106	42			PROPN
fcis-17466	106	43			PROPN
fcis-17466	106	44			PROPN
fcis-17466	106	45			PROPN
fcis-17466	106	46			PROPN
fcis-17466	106	47			PROPN
fcis-17466	106	48			PROPN
fcis-17466	106	49			PROPN
fcis-17466	106	50			PROPN
fcis-17466	106	51			PROPN
fcis-17466	106	52			PROPN
fcis-17466	106	53			PROPN
fcis-17466	106	54			PROPN
fcis-17466	106	55			PROPN
fcis-17466	106	56			PROPN
fcis-17466	106	57			VERB
fcis-17466	106	58			PUNCT
fcis-17466	106	59			NOUN
fcis-17466	106	60			NOUN
fcis-17466	106	61			NOUN
fcis-17466	106	62			NOUN
fcis-17466	106	63	(	(	PUNCT
fcis-17466	106	64	14	14	NUM
fcis-17466	106	65	)	)	PUNCT
fcis-17466	106	66	where	where	SCONJ
fcis-17466	106	67	:	:	PUNCT
fcis-17466	106	68	l	l	NOUN
fcis-17466	106	69	is	be	AUX
fcis-17466	106	70	the	the	DET
fcis-17466	106	71	lag	lag	NOUN
fcis-17466	106	72	operator	operator	NOUN
fcis-17466	106	73	;	;	PUNCT
fcis-17466	106	74	i	i	X
fcis-17466	106	75	are	be	AUX
fcis-17466	106	76	the	the	DET
fcis-17466	106	77	non	non	ADJ
fcis-17466	106	78	-	-	ADJ
fcis-17466	106	79	seasonal	seasonal	ADJ
fcis-17466	106	80	ar	ar	NOUN
fcis-17466	106	81	parameters	parameter	NOUN
fcis-17466	106	82	;	;	PUNCT
fcis-17466	106	83	i	i	NOUN
fcis-17466	106	84	are	be	AUX
fcis-17466	106	85	the	the	DET
fcis-17466	106	86	seasonal	seasonal	ADJ
fcis-17466	106	87	ar	ar	NOUN
fcis-17466	106	88	parameters	parameter	NOUN
fcis-17466	106	89	;	;	PUNCT
fcis-17466	106	90	s	s	VERB
fcis-17466	106	91	is	be	AUX
fcis-17466	106	92	the	the	DET
fcis-17466	106	93	periodicity	periodicity	NOUN
fcis-17466	106	94	of	of	ADP
fcis-17466	106	95	the	the	DET
fcis-17466	106	96	seasonal	seasonal	ADJ
fcis-17466	106	97	cycle	cycle	NOUN
fcis-17466	106	98	;	;	PUNCT
fcis-17466	106	99	,	,	PUNCT
fcis-17466	106	100	d	d	X
fcis-17466	106	101	d	d	NOUN
fcis-17466	106	102	are	be	AUX
fcis-17466	106	103	the	the	DET
fcis-17466	106	104	differencing	difference	VERB
fcis-17466	106	105	steps	step	NOUN
fcis-17466	106	106	;	;	PUNCT
fcis-17466	106	107	i	i	NOUN
fcis-17466	106	108	are	be	AUX
fcis-17466	106	109	the	the	DET
fcis-17466	106	110	non	non	ADJ
fcis-17466	106	111	-	-	ADJ
fcis-17466	106	112	seasonal	seasonal	ADJ
fcis-17466	106	113	ma	ma	PROPN
fcis-17466	106	114	parameters	parameter	NOUN
fcis-17466	106	115	;	;	PUNCT
fcis-17466	106	116	i	i	PROPN
fcis-17466	106	117	are	be	AUX
fcis-17466	106	118	the	the	DET
fcis-17466	106	119	seasonal	seasonal	ADJ
fcis-17466	106	120	ma	ma	PROPN
fcis-17466	106	121	parameters	parameter	NOUN
fcis-17466	106	122	;	;	PUNCT
fcis-17466	106	123	t	t	PROPN
fcis-17466	106	124	is	be	AUX
fcis-17466	106	125	the	the	DET
fcis-17466	106	126	white	white	ADJ
fcis-17466	106	127	noise	noise	NOUN
fcis-17466	106	128	error	error	NOUN
fcis-17466	106	129	term	term	NOUN
fcis-17466	106	130	.	.	PUNCT
fcis-17466	107	1	the	the	DET
fcis-17466	107	2	paper	paper	NOUN
fcis-17466	107	3	compares	compare	VERB
fcis-17466	107	4	the	the	DET
fcis-17466	107	5	sarima	sarima	NOUN
fcis-17466	107	6	model	model	NOUN
fcis-17466	107	7	with	with	ADP
fcis-17466	107	8	the	the	DET
fcis-17466	107	9	bilstm	bilstm	NOUN
fcis-17466	107	10	model	model	NOUN
fcis-17466	107	11	using	use	VERB
fcis-17466	107	12	the	the	DET
fcis-17466	107	13	mean	mean	ADJ
fcis-17466	107	14	absolute	absolute	ADJ
fcis-17466	107	15	error	error	NOUN
fcis-17466	107	16	(	(	PUNCT
fcis-17466	107	17	mae	mae	PROPN
fcis-17466	107	18	)	)	PUNCT
fcis-17466	107	19	,	,	PUNCT
fcis-17466	107	20	mean	mean	VERB
fcis-17466	107	21	squared	square	VERB
fcis-17466	107	22	error	error	NOUN
fcis-17466	107	23	(	(	PUNCT
fcis-17466	107	24	mse	mse	NOUN
fcis-17466	107	25	)	)	PUNCT
fcis-17466	107	26	,	,	PUNCT
fcis-17466	107	27	and	and	CCONJ
fcis-17466	107	28	root	root	NOUN
fcis-17466	107	29	mean	mean	VERB
fcis-17466	107	30	squared	square	VERB
fcis-17466	107	31	error	error	NOUN
fcis-17466	107	32	(	(	PUNCT
fcis-17466	107	33	rmse	rmse	NOUN
fcis-17466	107	34	)	)	PUNCT
fcis-17466	107	35	as	as	ADP
fcis-17466	107	36	14	14	NUM
fcis-17466	107	37	performance	performance	NOUN
fcis-17466	107	38	metrics	metric	NOUN
fcis-17466	107	39	,	,	PUNCT
fcis-17466	107	40	where	where	SCONJ
fcis-17466	107	41	smaller	small	ADJ
fcis-17466	107	42	values	value	NOUN
fcis-17466	107	43	indicate	indicate	VERB
fcis-17466	107	44	lower	low	ADJ
fcis-17466	107	45	errors	error	NOUN
fcis-17466	107	46	:	:	PUNCT
fcis-17466	107	47			NOUN
fcis-17466	107	48	1	1	NUM
fcis-17466	107	49	1	1	NUM
fcis-17466	107	50	,	,	PUNCT
fcis-17466	107	51	n	n	CCONJ
fcis-17466	107	52	i	i	PRON
fcis-17466	107	53	ii	ii	VERB
fcis-17466	107	54	mae	mae	PROPN
fcis-17466	107	55	y	y	PROPN
fcis-17466	107	56	y	y	PROPN
fcis-17466	108	1	n	n	CCONJ
fcis-17466	108	2			NUM
fcis-17466	108	3			NUM
fcis-17466	109	1			NOUN
fcis-17466	109	2	(	(	PUNCT
fcis-17466	109	3	15	15	NUM
fcis-17466	109	4	)	)	PUNCT
fcis-17466	109	5			NOUN
fcis-17466	109	6	2	2	ADJ
fcis-17466	109	7	1	1	NUM
fcis-17466	109	8	1	1	NUM
fcis-17466	109	9	,	,	PUNCT
fcis-17466	109	10	n	n	PROPN
fcis-17466	109	11	i	i	PROPN
fcis-17466	109	12	ii	ii	PROPN
fcis-17466	109	13	mse	mse	PROPN
fcis-17466	109	14	y	y	PROPN
fcis-17466	109	15	y	y	PROPN
fcis-17466	110	1	n	n	CCONJ
fcis-17466	110	2			NUM
fcis-17466	110	3			NUM
fcis-17466	111	1			NOUN
fcis-17466	111	2	(	(	PUNCT
fcis-17466	111	3	16	16	NUM
fcis-17466	111	4	)	)	PUNCT
fcis-17466	111	5			NOUN
fcis-17466	111	6	2	2	ADJ
fcis-17466	111	7	1	1	NUM
fcis-17466	111	8	1	1	NUM
fcis-17466	111	9	.	.	PUNCT
fcis-17466	112	1	n	n	CCONJ
fcis-17466	112	2	i	i	PRON
fcis-17466	112	3	ii	ii	PROPN
fcis-17466	113	1	rmse	rmse	NOUN
fcis-17466	114	1	y	y	PROPN
fcis-17466	114	2	y	y	PROPN
fcis-17466	114	3	n	n	CCONJ
fcis-17466	114	4			NUM
fcis-17466	114	5			NUM
fcis-17466	115	1			NOUN
fcis-17466	115	2	(	(	PUNCT
fcis-17466	115	3	17	17	NUM
fcis-17466	115	4	)	)	PUNCT
fcis-17466	115	5	where	where	SCONJ
fcis-17466	115	6	:	:	PUNCT
fcis-17466	115	7	n	n	PRON
fcis-17466	115	8	is	be	AUX
fcis-17466	115	9	the	the	DET
fcis-17466	115	10	number	number	NOUN
fcis-17466	115	11	of	of	ADP
fcis-17466	115	12	samples	sample	NOUN
fcis-17466	115	13	in	in	ADP
fcis-17466	115	14	the	the	DET
fcis-17466	115	15	test	test	NOUN
fcis-17466	115	16	set	set	NOUN
fcis-17466	115	17	;	;	PUNCT
fcis-17466	115	18	iy	iy	PROPN
fcis-17466	115	19	is	be	AUX
fcis-17466	115	20	the	the	DET
fcis-17466	115	21	actual	actual	ADJ
fcis-17466	115	22	value	value	NOUN
fcis-17466	115	23	of	of	ADP
fcis-17466	115	24	the	the	DET
fcis-17466	115	25	i	i	PROPN
fcis-17466	115	26	-	-	PUNCT
fcis-17466	115	27	th	th	X
fcis-17466	115	28	data	datum	NOUN
fcis-17466	115	29	point	point	NOUN
fcis-17466	115	30	in	in	ADP
fcis-17466	115	31	the	the	DET
fcis-17466	115	32	test	test	NOUN
fcis-17466	115	33	set	set	NOUN
fcis-17466	115	34	;	;	PUNCT
fcis-17466	115	35	iy	iy	NOUN
fcis-17466	115	36	is	be	AUX
fcis-17466	115	37	the	the	DET
fcis-17466	115	38	predicted	predict	VERB
fcis-17466	115	39	value	value	NOUN
fcis-17466	115	40	for	for	ADP
fcis-17466	115	41	the	the	DET
fcis-17466	115	42	i	i	PROPN
fcis-17466	115	43	-	-	PUNCT
fcis-17466	115	44	th	th	X
fcis-17466	115	45	data	datum	NOUN
fcis-17466	115	46	point	point	NOUN
fcis-17466	115	47	in	in	ADP
fcis-17466	115	48	the	the	DET
fcis-17466	115	49	test	test	NOUN
fcis-17466	115	50	set	set	NOUN
fcis-17466	115	51	.	.	PUNCT
fcis-17466	116	1	3.2.4	3.2.4	NUM
fcis-17466	116	2	.	.	PUNCT
fcis-17466	117	1	k	k	X
fcis-17466	117	2	-	-	PUNCT
fcis-17466	117	3	means	mean	VERB
fcis-17466	117	4	for	for	ADP
fcis-17466	117	5	clustering	cluster	VERB
fcis-17466	117	6	and	and	CCONJ
fcis-17466	117	7	creating	create	VERB
fcis-17466	117	8	early	early	ADJ
fcis-17466	117	9	warning	warning	NOUN
fcis-17466	117	10	indicators	indicator	NOUN
fcis-17466	117	11	,	,	PUNCT
fcis-17466	117	12	we	we	PRON
fcis-17466	117	13	selected	select	VERB
fcis-17466	117	14	co_2	co_2	PROPN
fcis-17466	117	15	emissions	emission	NOUN
fcis-17466	117	16	and	and	CCONJ
fcis-17466	117	17	the	the	DET
fcis-17466	117	18	growth	growth	NOUN
fcis-17466	117	19	rate	rate	NOUN
fcis-17466	117	20	of	of	ADP
fcis-17466	117	21	surface	surface	NOUN
fcis-17466	117	22	temperature	temperature	NOUN
fcis-17466	117	23	.	.	PUNCT
fcis-17466	118	1	k	k	X
fcis-17466	118	2	-	-	PUNCT
fcis-17466	118	3	means	mean	VERB
fcis-17466	118	4	aims	aim	VERB
fcis-17466	118	5	to	to	PART
fcis-17466	118	6	discover	discover	VERB
fcis-17466	118	7	inherent	inherent	ADJ
fcis-17466	118	8	groupings	grouping	NOUN
fcis-17466	118	9	by	by	ADP
fcis-17466	118	10	dividing	divide	VERB
fcis-17466	118	11	data	datum	NOUN
fcis-17466	118	12	into	into	ADP
fcis-17466	118	13	k	k	PROPN
fcis-17466	118	14	clusters	cluster	NOUN
fcis-17466	118	15	.	.	PUNCT
fcis-17466	119	1	each	each	DET
fcis-17466	119	2	cluster	cluster	NOUN
fcis-17466	119	3	is	be	AUX
fcis-17466	119	4	represented	represent	VERB
fcis-17466	119	5	by	by	ADP
fcis-17466	119	6	the	the	DET
fcis-17466	119	7	mean	mean	ADJ
fcis-17466	119	8	(	(	PUNCT
fcis-17466	119	9	centroid	centroid	NOUN
fcis-17466	119	10	)	)	PUNCT
fcis-17466	119	11	of	of	ADP
fcis-17466	119	12	the	the	DET
fcis-17466	119	13	data	data	NOUN
fcis-17466	119	14	points	point	NOUN
fcis-17466	119	15	within	within	ADP
fcis-17466	119	16	it	it	PRON
fcis-17466	119	17	.	.	PUNCT
fcis-17466	120	1	the	the	DET
fcis-17466	120	2	algorithm	algorithm	NOUN
fcis-17466	120	3	steps	step	VERB
fcis-17466	120	4	for	for	ADP
fcis-17466	120	5	k	k	NOUN
fcis-17466	120	6	-	-	PUNCT
fcis-17466	120	7	means	means	NOUN
fcis-17466	120	8	involve	involve	NOUN
fcis-17466	120	9	:	:	PUNCT
fcis-17466	120	10	initializing	initialize	VERB
fcis-17466	120	11	with	with	ADP
fcis-17466	120	12	k	k	X
fcis-17466	120	13	random	random	ADJ
fcis-17466	120	14	data	datum	NOUN
fcis-17466	120	15	points	point	NOUN
fcis-17466	120	16	as	as	ADP
fcis-17466	120	17	the	the	DET
fcis-17466	120	18	cluster	cluster	NOUN
fcis-17466	120	19	centers	center	NOUN
fcis-17466	120	20	,	,	PUNCT
fcis-17466	120	21	assigning	assign	VERB
fcis-17466	120	22	each	each	DET
fcis-17466	120	23	data	data	NOUN
fcis-17466	120	24	point	point	NOUN
fcis-17466	120	25	to	to	ADP
fcis-17466	120	26	the	the	DET
fcis-17466	120	27	nearest	near	ADJ
fcis-17466	120	28	centroid	centroid	NOUN
fcis-17466	120	29	to	to	PART
fcis-17466	120	30	form	form	VERB
fcis-17466	120	31	k	k	PROPN
fcis-17466	120	32	clusters	cluster	NOUN
fcis-17466	120	33	,	,	PUNCT
fcis-17466	120	34	updating	update	VERB
fcis-17466	120	35	by	by	ADP
fcis-17466	120	36	computing	compute	VERB
fcis-17466	120	37	the	the	DET
fcis-17466	120	38	mean	mean	NOUN
fcis-17466	120	39	of	of	ADP
fcis-17466	120	40	all	all	DET
fcis-17466	120	41	points	point	NOUN
fcis-17466	120	42	in	in	ADP
fcis-17466	120	43	each	each	DET
fcis-17466	120	44	cluster	cluster	NOUN
fcis-17466	120	45	to	to	PART
fcis-17466	120	46	obtain	obtain	VERB
fcis-17466	120	47	new	new	ADJ
fcis-17466	120	48	centroids	centroid	NOUN
fcis-17466	120	49	,	,	PUNCT
fcis-17466	120	50	and	and	CCONJ
fcis-17466	120	51	repeating	repeat	VERB
fcis-17466	120	52	these	these	DET
fcis-17466	120	53	steps	step	NOUN
fcis-17466	120	54	until	until	SCONJ
fcis-17466	120	55	a	a	DET
fcis-17466	120	56	certain	certain	ADJ
fcis-17466	120	57	stopping	stopping	NOUN
fcis-17466	120	58	criterion	criterion	NOUN
fcis-17466	120	59	is	be	AUX
fcis-17466	120	60	satisfied	satisfied	ADJ
fcis-17466	120	61	(	(	PUNCT
fcis-17466	120	62	usually	usually	ADV
fcis-17466	120	63	when	when	SCONJ
fcis-17466	120	64	the	the	DET
fcis-17466	120	65	change	change	NOUN
fcis-17466	120	66	in	in	ADP
fcis-17466	120	67	centroids	centroid	NOUN
fcis-17466	120	68	is	be	AUX
fcis-17466	120	69	below	below	ADP
fcis-17466	120	70	a	a	DET
fcis-17466	120	71	threshold	threshold	NOUN
fcis-17466	120	72	or	or	CCONJ
fcis-17466	120	73	a	a	DET
fcis-17466	120	74	predetermined	predetermine	VERB
fcis-17466	120	75	number	number	NOUN
fcis-17466	120	76	of	of	ADP
fcis-17466	120	77	iterations	iteration	NOUN
fcis-17466	120	78	has	have	AUX
fcis-17466	120	79	been	be	AUX
fcis-17466	120	80	reached	reach	VERB
fcis-17466	120	81	)	)	PUNCT
fcis-17466	120	82	.	.	PUNCT
fcis-17466	121	1	3.2.5	3.2.5	X
fcis-17466	121	2	.	.	X
fcis-17466	121	3	svm	svm	ADJ
fcis-17466	121	4	-	-	ADJ
fcis-17466	121	5	rf	rf	ADJ
fcis-17466	121	6	upon	upon	SCONJ
fcis-17466	121	7	obtaining	obtain	VERB
fcis-17466	121	8	the	the	DET
fcis-17466	121	9	warning	warning	NOUN
fcis-17466	121	10	indicators	indicator	NOUN
fcis-17466	121	11	,	,	PUNCT
fcis-17466	121	12	the	the	DET
fcis-17466	121	13	paper	paper	NOUN
fcis-17466	121	14	establishes	establish	VERB
fcis-17466	121	15	an	an	DET
fcis-17466	121	16	svm	svm	NOUN
fcis-17466	121	17	-	-	ADJ
fcis-17466	121	18	rf	rf	ADJ
fcis-17466	121	19	(	(	PUNCT
fcis-17466	121	20	support	support	NOUN
fcis-17466	121	21	vector	vector	NOUN
fcis-17466	121	22	machine	machine	NOUN
fcis-17466	121	23	-	-	PUNCT
fcis-17466	121	24	random	random	ADJ
fcis-17466	121	25	forest	forest	NOUN
fcis-17466	121	26	)	)	PUNCT
fcis-17466	121	27	model	model	NOUN
fcis-17466	121	28	for	for	ADP
fcis-17466	121	29	predicting	predict	VERB
fcis-17466	121	30	future	future	ADJ
fcis-17466	121	31	warning	warning	NOUN
fcis-17466	121	32	levels	level	NOUN
fcis-17466	121	33	over	over	ADP
fcis-17466	121	34	the	the	DET
fcis-17466	121	35	next	next	ADJ
fcis-17466	121	36	ten	ten	NUM
fcis-17466	121	37	years	year	NOUN
fcis-17466	121	38	.	.	PUNCT
fcis-17466	122	1	svm	svm	PROPN
fcis-17466	122	2	is	be	AUX
fcis-17466	122	3	a	a	DET
fcis-17466	122	4	classification	classification	NOUN
fcis-17466	122	5	model	model	NOUN
fcis-17466	122	6	that	that	PRON
fcis-17466	122	7	defines	define	VERB
fcis-17466	122	8	a	a	DET
fcis-17466	122	9	linear	linear	NOUN
fcis-17466	122	10	classifier	classifier	NOUN
fcis-17466	122	11	based	base	VERB
fcis-17466	122	12	on	on	ADP
fcis-17466	122	13	margin	margin	NOUN
fcis-17466	122	14	maximization	maximization	NOUN
fcis-17466	122	15	in	in	ADP
fcis-17466	122	16	feature	feature	NOUN
fcis-17466	122	17	space	space	NOUN
fcis-17466	122	18	.	.	PUNCT
fcis-17466	123	1	randomforest	randomfor	ADJ
fcis-17466	123	2	(	(	PUNCT
fcis-17466	123	3	rf	rf	NOUN
fcis-17466	123	4	)	)	PUNCT
fcis-17466	123	5	is	be	AUX
fcis-17466	123	6	an	an	DET
fcis-17466	123	7	ensemble	ensemble	ADJ
fcis-17466	123	8	learning	learning	NOUN
fcis-17466	123	9	method	method	NOUN
fcis-17466	123	10	comprising	comprise	VERB
fcis-17466	123	11	multiple	multiple	ADJ
fcis-17466	123	12	decision	decision	NOUN
fcis-17466	123	13	trees	tree	NOUN
fcis-17466	123	14	used	use	VERB
fcis-17466	123	15	for	for	ADP
fcis-17466	123	16	classification	classification	NOUN
fcis-17466	123	17	problems	problem	NOUN
fcis-17466	123	18	.	.	PUNCT
fcis-17466	124	1	it	it	PRON
fcis-17466	124	2	enhances	enhance	VERB
fcis-17466	124	3	prediction	prediction	NOUN
fcis-17466	124	4	accuracy	accuracy	NOUN
fcis-17466	124	5	and	and	CCONJ
fcis-17466	124	6	prevents	prevent	VERB
fcis-17466	124	7	overfitting	overfitte	VERB
fcis-17466	124	8	by	by	ADP
fcis-17466	124	9	building	build	VERB
fcis-17466	124	10	several	several	ADJ
fcis-17466	124	11	trees	tree	NOUN
fcis-17466	124	12	and	and	CCONJ
fcis-17466	124	13	aggregating	aggregate	VERB
fcis-17466	124	14	their	their	PRON
fcis-17466	124	15	results	result	NOUN
fcis-17466	124	16	.	.	PUNCT
fcis-17466	125	1	rf	rf	NOUN
fcis-17466	125	2	is	be	AUX
fcis-17466	125	3	well	well	ADV
fcis-17466	125	4	-	-	PUNCT
fcis-17466	125	5	suited	suit	VERB
fcis-17466	125	6	for	for	ADP
fcis-17466	125	7	handling	handle	VERB
fcis-17466	125	8	data	datum	NOUN
fcis-17466	125	9	with	with	ADP
fcis-17466	125	10	complex	complex	ADJ
fcis-17466	125	11	interactions	interaction	NOUN
fcis-17466	125	12	,	,	PUNCT
fcis-17466	125	13	is	be	AUX
fcis-17466	125	14	scalable	scalable	ADJ
fcis-17466	125	15	,	,	PUNCT
fcis-17466	125	16	and	and	CCONJ
fcis-17466	125	17	tolerates	tolerate	VERB
fcis-17466	125	18	faults	fault	NOUN
fcis-17466	125	19	,	,	PUNCT
fcis-17466	125	20	often	often	ADV
fcis-17466	125	21	treated	treat	VERB
fcis-17466	125	22	as	as	ADP
fcis-17466	125	23	a	a	DET
fcis-17466	125	24	"	"	PUNCT
fcis-17466	125	25	black	black	ADJ
fcis-17466	125	26	box	box	NOUN
fcis-17466	125	27	"	"	PUNCT
fcis-17466	125	28	in	in	ADP
fcis-17466	125	29	non	non	ADJ
fcis-17466	125	30	-	-	ADJ
fcis-17466	125	31	deep	deep	ADJ
fcis-17466	125	32	learning	learning	NOUN
fcis-17466	125	33	algorithms	algorithm	NOUN
fcis-17466	125	34	.	.	PUNCT
fcis-17466	126	1	svm	svm	PROPN
fcis-17466	126	2	is	be	AUX
fcis-17466	126	3	suitable	suitable	ADJ
fcis-17466	126	4	for	for	ADP
fcis-17466	126	5	dealing	deal	VERB
fcis-17466	126	6	with	with	ADP
fcis-17466	126	7	complex	complex	ADJ
fcis-17466	126	8	small	small	ADJ
fcis-17466	126	9	data	datum	NOUN
fcis-17466	126	10	set	set	VERB
fcis-17466	126	11	problems	problem	NOUN
fcis-17466	126	12	,	,	PUNCT
fcis-17466	126	13	while	while	SCONJ
fcis-17466	126	14	rf	rf	PRON
fcis-17466	126	15	effectively	effectively	ADV
fcis-17466	126	16	handles	handle	VERB
fcis-17466	126	17	complex	complex	ADJ
fcis-17466	126	18	structure	structure	NOUN
fcis-17466	126	19	issues	issue	NOUN
fcis-17466	126	20	.	.	PUNCT
fcis-17466	127	1	the	the	DET
fcis-17466	127	2	svm	svm	ADJ
fcis-17466	127	3	-	-	ADJ
fcis-17466	127	4	rf	rf	ADJ
fcis-17466	127	5	model	model	NOUN
fcis-17466	127	6	can	can	AUX
fcis-17466	127	7	leverage	leverage	VERB
fcis-17466	127	8	the	the	DET
fcis-17466	127	9	advantages	advantage	NOUN
fcis-17466	127	10	of	of	ADP
fcis-17466	127	11	both	both	CCONJ
fcis-17466	127	12	svm	svm	NOUN
fcis-17466	127	13	and	and	CCONJ
fcis-17466	127	14	rf	rf	VERB
fcis-17466	127	15	,	,	PUNCT
fcis-17466	127	16	providing	provide	VERB
fcis-17466	127	17	robustness	robustness	NOUN
fcis-17466	127	18	in	in	ADP
fcis-17466	127	19	dealing	deal	VERB
fcis-17466	127	20	with	with	ADP
fcis-17466	127	21	small	small	ADJ
fcis-17466	127	22	samples	sample	NOUN
fcis-17466	127	23	and	and	CCONJ
fcis-17466	127	24	managing	manage	VERB
fcis-17466	127	25	nonlinear	nonlinear	ADJ
fcis-17466	127	26	features	feature	NOUN
fcis-17466	127	27	effectively	effectively	ADV
fcis-17466	127	28	.	.	PUNCT
fcis-17466	128	1	ensemble	ensemble	ADJ
fcis-17466	128	2	learning	learn	VERB
fcis-17466	128	3	further	further	ADJ
fcis-17466	128	4	aids	aid	NOUN
fcis-17466	128	5	in	in	ADP
fcis-17466	128	6	selecting	select	VERB
fcis-17466	128	7	important	important	ADJ
fcis-17466	128	8	features	feature	NOUN
fcis-17466	128	9	and	and	CCONJ
fcis-17466	128	10	enhancing	enhance	VERB
fcis-17466	128	11	the	the	DET
fcis-17466	128	12	model	model	NOUN
fcis-17466	128	13	's	's	PART
fcis-17466	128	14	robustness	robustness	NOUN
fcis-17466	128	15	and	and	CCONJ
fcis-17466	128	16	accuracy	accuracy	NOUN
fcis-17466	128	17	.	.	PUNCT
fcis-17466	129	1	the	the	DET
fcis-17466	129	2	structure	structure	NOUN
fcis-17466	129	3	of	of	ADP
fcis-17466	129	4	the	the	DET
fcis-17466	129	5	svm	svm	PROPN
fcis-17466	129	6	-	-	ADJ
fcis-17466	129	7	rf	rf	NOUN
fcis-17466	129	8	is	be	AUX
fcis-17466	129	9	shown	show	VERB
fcis-17466	129	10	in	in	ADP
fcis-17466	129	11	figure	figure	NOUN
fcis-17466	129	12	2	2	NUM
fcis-17466	129	13	.	.	PUNCT
fcis-17466	129	14	figure	figure	NOUN
fcis-17466	129	15	2	2	NUM
fcis-17466	129	16	.	.	PUNCT
fcis-17466	129	17	svm	svm	ADJ
fcis-17466	129	18	-	-	ADJ
fcis-17466	129	19	rf	rf	ADJ
fcis-17466	129	20	model	model	NOUN
fcis-17466	129	21	architecture	architecture	NOUN
fcis-17466	129	22	3.3	3.3	NUM
fcis-17466	129	23	.	.	PUNCT
fcis-17466	130	1	variable	variable	ADJ
fcis-17466	130	2	explanation	explanation	NOUN
fcis-17466	130	3	this	this	DET
fcis-17466	130	4	paper	paper	NOUN
fcis-17466	130	5	first	first	ADV
fcis-17466	130	6	predicts	predict	VERB
fcis-17466	130	7	the	the	DET
fcis-17466	130	8	surface	surface	NOUN
fcis-17466	130	9	temperature	temperature	NOUN
fcis-17466	130	10	to	to	PART
fcis-17466	130	11	observe	observe	VERB
fcis-17466	130	12	the	the	DET
fcis-17466	130	13	future	future	ADJ
fcis-17466	130	14	trend	trend	NOUN
fcis-17466	130	15	of	of	ADP
fcis-17466	130	16	surface	surface	NOUN
fcis-17466	130	17	temperature	temperature	NOUN
fcis-17466	130	18	and	and	CCONJ
fcis-17466	130	19	constructs	construct	VERB
fcis-17466	130	20	a	a	DET
fcis-17466	130	21	climate	climate	NOUN
fcis-17466	130	22	safety	safety	NOUN
fcis-17466	130	23	early	early	ADJ
fcis-17466	130	24	warning	warning	NOUN
fcis-17466	130	25	system	system	NOUN
fcis-17466	130	26	while	while	SCONJ
fcis-17466	130	27	predicting	predict	VERB
fcis-17466	130	28	future	future	ADJ
fcis-17466	130	29	early	early	ADJ
fcis-17466	130	30	warning	warning	NOUN
fcis-17466	130	31	situations	situation	NOUN
fcis-17466	130	32	.	.	PUNCT
fcis-17466	131	1	the	the	DET
fcis-17466	131	2	main	main	ADJ
fcis-17466	131	3	variables	variable	NOUN
fcis-17466	131	4	used	use	VERB
fcis-17466	131	5	in	in	ADP
fcis-17466	131	6	this	this	DET
fcis-17466	131	7	study	study	NOUN
fcis-17466	131	8	are	be	AUX
fcis-17466	131	9	as	as	SCONJ
fcis-17466	131	10	follows	follow	VERB
fcis-17466	131	11	:	:	PUNCT
fcis-17466	131	12	(	(	PUNCT
fcis-17466	131	13	1	1	X
fcis-17466	131	14	)	)	PUNCT
fcis-17466	131	15	early	early	ADJ
fcis-17466	131	16	warning	warning	NOUN
fcis-17466	131	17	indicators	indicator	NOUN
fcis-17466	131	18	:	:	PUNCT
fcis-17466	131	19	since	since	SCONJ
fcis-17466	131	20	surface	surface	NOUN
fcis-17466	131	21	temperature	temperature	NOUN
fcis-17466	131	22	is	be	AUX
fcis-17466	131	23	difficult	difficult	ADJ
fcis-17466	131	24	to	to	PART
fcis-17466	131	25	control	control	VERB
fcis-17466	131	26	but	but	CCONJ
fcis-17466	131	27	carbon	carbon	NOUN
fcis-17466	131	28	dioxide	dioxide	NOUN
fcis-17466	131	29	emissions	emission	NOUN
fcis-17466	131	30	can	can	AUX
fcis-17466	131	31	change	change	VERB
fcis-17466	131	32	with	with	ADP
fcis-17466	131	33	human	human	ADJ
fcis-17466	131	34	intervention	intervention	NOUN
fcis-17466	131	35	,	,	PUNCT
fcis-17466	131	36	we	we	PRON
fcis-17466	131	37	use	use	VERB
fcis-17466	131	38	the	the	DET
fcis-17466	131	39	k	k	NOUN
fcis-17466	131	40	-	-	PUNCT
fcis-17466	131	41	means	mean	VERB
fcis-17466	131	42	clustering	cluster	VERB
fcis-17466	131	43	algorithm	algorithm	NOUN
fcis-17466	131	44	to	to	PART
fcis-17466	131	45	cluster	cluster	VERB
fcis-17466	131	46	the	the	DET
fcis-17466	131	47	carbon	carbon	NOUN
fcis-17466	131	48	dioxide	dioxide	NOUN
fcis-17466	131	49	emission	emission	NOUN
fcis-17466	131	50	growth	growth	NOUN
fcis-17466	131	51	rate	rate	NOUN
fcis-17466	131	52	to	to	PART
fcis-17466	131	53	get	get	VERB
fcis-17466	131	54	the	the	DET
fcis-17466	131	55	early	early	ADJ
fcis-17466	131	56	warning	warning	NOUN
fcis-17466	131	57	indicators	indicator	NOUN
fcis-17466	131	58	.	.	PUNCT
fcis-17466	132	1	(	(	PUNCT
fcis-17466	132	2	2	2	X
fcis-17466	132	3	)	)	PUNCT
fcis-17466	132	4	energy	energy	NOUN
fcis-17466	132	5	consumption	consumption	NOUN
fcis-17466	132	6	:	:	PUNCT
fcis-17466	132	7	coal	coal	NOUN
fcis-17466	132	8	and	and	CCONJ
fcis-17466	132	9	coke	coke	PROPN
fcis-17466	132	10	consumption	consumption	NOUN
fcis-17466	132	11	(	(	PUNCT
fcis-17466	132	12	million	million	NUM
fcis-17466	132	13	short	short	ADJ
fcis-17466	132	14	tons	ton	NOUN
fcis-17466	132	15	)	)	PUNCT
fcis-17466	132	16	is	be	AUX
fcis-17466	132	17	denoted	denote	VERB
fcis-17466	132	18	as	as	ADP
fcis-17466	132	19	variable	variable	ADJ
fcis-17466	132	20	c	c	NOUN
fcis-17466	132	21	,	,	PUNCT
fcis-17466	132	22	refined	refined	ADJ
fcis-17466	132	23	petroleum	petroleum	NOUN
fcis-17466	132	24	products	product	NOUN
fcis-17466	132	25	consumption	consumption	NOUN
fcis-17466	132	26	(	(	PUNCT
fcis-17466	132	27	million	million	NUM
fcis-17466	132	28	barrels	barrel	NOUN
fcis-17466	132	29	per	per	ADP
fcis-17466	132	30	day	day	NOUN
fcis-17466	132	31	)	)	PUNCT
fcis-17466	132	32	as	as	ADP
fcis-17466	132	33	variable	variable	ADJ
fcis-17466	132	34	o	o	NOUN
fcis-17466	132	35	,	,	PUNCT
fcis-17466	132	36	dry	dry	ADJ
fcis-17466	132	37	natural	natural	ADJ
fcis-17466	132	38	gas	gas	NOUN
fcis-17466	132	39	consumption	consumption	NOUN
fcis-17466	132	40	(	(	PUNCT
fcis-17466	132	41	billion	billion	NUM
fcis-17466	132	42	cubic	cubic	ADJ
fcis-17466	132	43	feet	foot	NOUN
fcis-17466	132	44	)	)	PUNCT
fcis-17466	132	45	as	as	ADP
fcis-17466	132	46	variable	variable	ADJ
fcis-17466	132	47	g	g	NOUN
fcis-17466	132	48	,	,	PUNCT
fcis-17466	132	49	electricity	electricity	NOUN
fcis-17466	132	50	net	net	ADJ
fcis-17466	132	51	consumption	consumption	NOUN
fcis-17466	132	52	(	(	PUNCT
fcis-17466	132	53	billion	billion	NUM
fcis-17466	132	54	kilowatthours	kilowatthour	NOUN
fcis-17466	132	55	)	)	PUNCT
fcis-17466	132	56	as	as	ADP
fcis-17466	132	57	variable	variable	ADJ
fcis-17466	132	58	e	e	NOUN
fcis-17466	132	59	,	,	PUNCT
fcis-17466	132	60	and	and	CCONJ
fcis-17466	132	61	biofuels	biofuel	NOUN
fcis-17466	132	62	consumption	consumption	NOUN
fcis-17466	132	63	(	(	PUNCT
fcis-17466	132	64	million	million	NUM
fcis-17466	132	65	barrels	barrel	NOUN
fcis-17466	132	66	per	per	ADP
fcis-17466	132	67	day	day	NOUN
fcis-17466	132	68	)	)	PUNCT
fcis-17466	132	69	as	as	ADP
fcis-17466	132	70	variable	variable	ADJ
fcis-17466	132	71	b.	b.	PROPN
fcis-17466	132	72	(	(	PUNCT
fcis-17466	132	73	3	3	X
fcis-17466	132	74	)	)	PUNCT
fcis-17466	132	75	input	input	NOUN
fcis-17466	132	76	variables	variable	NOUN
fcis-17466	132	77	:	:	PUNCT
fcis-17466	132	78	in	in	ADP
fcis-17466	132	79	the	the	DET
fcis-17466	132	80	svm	svm	ADJ
fcis-17466	132	81	-	-	ADJ
fcis-17466	132	82	rf	rf	ADJ
fcis-17466	132	83	model	model	NOUN
fcis-17466	132	84	,	,	PUNCT
fcis-17466	132	85	we	we	PRON
fcis-17466	132	86	use	use	VERB
fcis-17466	132	87	growth	growth	NOUN
fcis-17466	132	88	rates	rate	NOUN
fcis-17466	132	89	of	of	ADP
fcis-17466	132	90	energy	energy	NOUN
fcis-17466	132	91	values	value	NOUN
fcis-17466	132	92	,	,	PUNCT
fcis-17466	132	93	such	such	ADJ
fcis-17466	132	94	as	as	ADP
fcis-17466	132	95	the	the	DET
fcis-17466	132	96	coal	coal	NOUN
fcis-17466	132	97	consumption	consumption	NOUN
fcis-17466	132	98	growth	growth	NOUN
fcis-17466	132	99	rate	rate	NOUN
fcis-17466	132	100	,	,	PUNCT
fcis-17466	132	101	as	as	ADP
fcis-17466	132	102	input	input	NOUN
fcis-17466	132	103	values	value	NOUN
fcis-17466	132	104	.	.	PUNCT
fcis-17466	133	1	(	(	PUNCT
fcis-17466	133	2	4	4	X
fcis-17466	133	3	)	)	PUNCT
fcis-17466	133	4	output	output	NOUN
fcis-17466	133	5	variables	variable	NOUN
fcis-17466	133	6	:	:	PUNCT
fcis-17466	133	7	in	in	ADP
fcis-17466	133	8	the	the	DET
fcis-17466	133	9	svm	svm	ADJ
fcis-17466	133	10	-	-	ADJ
fcis-17466	133	11	rf	rf	ADJ
fcis-17466	133	12	model	model	NOUN
fcis-17466	133	13	,	,	PUNCT
fcis-17466	133	14	we	we	PRON
fcis-17466	133	15	use	use	VERB
fcis-17466	133	16	the	the	DET
fcis-17466	133	17	early	early	ADJ
fcis-17466	133	18	warning	warning	NOUN
fcis-17466	133	19	indicators	indicator	NOUN
fcis-17466	133	20	as	as	ADP
fcis-17466	133	21	the	the	DET
fcis-17466	133	22	output	output	NOUN
fcis-17466	133	23	values	value	NOUN
fcis-17466	133	24	to	to	PART
fcis-17466	133	25	build	build	VERB
fcis-17466	133	26	the	the	DET
fcis-17466	133	27	early	early	ADJ
fcis-17466	133	28	warning	warning	NOUN
fcis-17466	133	29	system	system	NOUN
fcis-17466	133	30	.	.	PUNCT
fcis-17466	134	1	15	15	NUM
fcis-17466	134	2	4	4	NUM
fcis-17466	134	3	.	.	PUNCT
fcis-17466	134	4	results	result	VERB
fcis-17466	134	5	analysis	analysis	NOUN
fcis-17466	134	6	4.1	4.1	NUM
fcis-17466	134	7	.	.	PUNCT
fcis-17466	135	1	surface	surface	NOUN
fcis-17466	135	2	temperature	temperature	NOUN
fcis-17466	135	3	prediction	prediction	NOUN
fcis-17466	135	4	4.1.1	4.1.1	NUM
fcis-17466	135	5	.	.	PUNCT
fcis-17466	135	6	prediction	prediction	NOUN
fcis-17466	135	7	based	base	VERB
fcis-17466	135	8	on	on	ADP
fcis-17466	135	9	the	the	DET
fcis-17466	135	10	bilstm	bilstm	NOUN
fcis-17466	135	11	model	model	NOUN
fcis-17466	135	12	the	the	DET
fcis-17466	135	13	bilstm	bilstm	NOUN
fcis-17466	135	14	model	model	NOUN
fcis-17466	135	15	,	,	PUNCT
fcis-17466	135	16	which	which	PRON
fcis-17466	135	17	contains	contain	VERB
fcis-17466	135	18	both	both	CCONJ
fcis-17466	135	19	forward	forward	ADV
fcis-17466	135	20	and	and	CCONJ
fcis-17466	135	21	backward	backward	ADJ
fcis-17466	135	22	lstm	lstm	ADJ
fcis-17466	135	23	sequences	sequence	NOUN
fcis-17466	135	24	,	,	PUNCT
fcis-17466	135	25	demonstrated	demonstrate	VERB
fcis-17466	135	26	significant	significant	ADJ
fcis-17466	135	27	divergence	divergence	NOUN
fcis-17466	135	28	from	from	ADP
fcis-17466	135	29	actual	actual	ADJ
fcis-17466	135	30	values	value	NOUN
fcis-17466	135	31	when	when	SCONJ
fcis-17466	135	32	predicting	predict	VERB
fcis-17466	135	33	surface	surface	NOUN
fcis-17466	135	34	temperatures	temperature	NOUN
fcis-17466	135	35	using	use	VERB
fcis-17466	135	36	raw	raw	ADJ
fcis-17466	135	37	data	datum	NOUN
fcis-17466	135	38	.	.	PUNCT
fcis-17466	136	1	considering	consider	VERB
fcis-17466	136	2	the	the	DET
fcis-17466	136	3	limitations	limitation	NOUN
fcis-17466	136	4	of	of	ADP
fcis-17466	136	5	neural	neural	ADJ
fcis-17466	136	6	networks	network	NOUN
fcis-17466	136	7	,	,	PUNCT
fcis-17466	136	8	such	such	ADJ
fcis-17466	136	9	as	as	ADP
fcis-17466	136	10	poor	poor	ADJ
fcis-17466	136	11	performance	performance	NOUN
fcis-17466	136	12	on	on	ADP
fcis-17466	136	13	non	non	ADJ
fcis-17466	136	14	-	-	ADJ
fcis-17466	136	15	stationary	stationary	ADJ
fcis-17466	136	16	series	series	NOUN
fcis-17466	136	17	,	,	PUNCT
fcis-17466	136	18	it	it	PRON
fcis-17466	136	19	is	be	AUX
fcis-17466	136	20	inferred	infer	VERB
fcis-17466	136	21	that	that	SCONJ
fcis-17466	136	22	the	the	DET
fcis-17466	136	23	raw	raw	ADJ
fcis-17466	136	24	data	data	NOUN
fcis-17466	136	25	constitutes	constitute	VERB
fcis-17466	136	26	a	a	DET
fcis-17466	136	27	nonstationary	nonstationary	ADJ
fcis-17466	136	28	time	time	NOUN
fcis-17466	136	29	series	series	NOUN
fcis-17466	136	30	.	.	PUNCT
fcis-17466	137	1	however	however	ADV
fcis-17466	137	2	,	,	PUNCT
fcis-17466	137	3	when	when	SCONJ
fcis-17466	137	4	transforming	transform	VERB
fcis-17466	137	5	the	the	DET
fcis-17466	137	6	raw	raw	ADJ
fcis-17466	137	7	data	datum	NOUN
fcis-17466	137	8	into	into	ADP
fcis-17466	137	9	growth	growth	NOUN
fcis-17466	137	10	rates	rate	NOUN
fcis-17466	137	11	,	,	PUNCT
fcis-17466	137	12	the	the	DET
fcis-17466	137	13	prediction	prediction	NOUN
fcis-17466	137	14	closely	closely	ADV
fcis-17466	137	15	matched	match	VERB
fcis-17466	137	16	the	the	DET
fcis-17466	137	17	actual	actual	ADJ
fcis-17466	137	18	values	value	NOUN
fcis-17466	137	19	,	,	PUNCT
fcis-17466	137	20	allowing	allow	VERB
fcis-17466	137	21	for	for	ADP
fcis-17466	137	22	an	an	DET
fcis-17466	137	23	indirect	indirect	ADJ
fcis-17466	137	24	derivation	derivation	NOUN
fcis-17466	137	25	of	of	ADP
fcis-17466	137	26	the	the	DET
fcis-17466	137	27	corresponding	corresponding	ADJ
fcis-17466	137	28	maximum	maximum	ADJ
fcis-17466	137	29	surface	surface	NOUN
fcis-17466	137	30	temperatures	temperature	NOUN
fcis-17466	137	31	.	.	PUNCT
fcis-17466	138	1	in	in	ADP
fcis-17466	138	2	figure	figure	NOUN
fcis-17466	138	3	3	3	NUM
fcis-17466	138	4	,	,	PUNCT
fcis-17466	138	5	the	the	DET
fcis-17466	138	6	left	left	ADJ
fcis-17466	138	7	graph	graph	NOUN
fcis-17466	138	8	illustrates	illustrate	VERB
fcis-17466	138	9	the	the	DET
fcis-17466	138	10	forecasted	forecast	VERB
fcis-17466	138	11	growth	growth	NOUN
fcis-17466	138	12	rates	rate	NOUN
fcis-17466	138	13	of	of	ADP
fcis-17466	138	14	surface	surface	NOUN
fcis-17466	138	15	maximum	maximum	ADJ
fcis-17466	138	16	temperatures	temperature	NOUN
fcis-17466	138	17	by	by	ADP
fcis-17466	138	18	the	the	DET
fcis-17466	138	19	bilstm	bilstm	NOUN
fcis-17466	138	20	model	model	NOUN
fcis-17466	138	21	,	,	PUNCT
fcis-17466	138	22	while	while	SCONJ
fcis-17466	138	23	the	the	DET
fcis-17466	138	24	right	right	ADJ
fcis-17466	138	25	graph	graph	NOUN
fcis-17466	138	26	shows	show	VERB
fcis-17466	138	27	the	the	DET
fcis-17466	138	28	future	future	ADJ
fcis-17466	138	29	trend	trend	NOUN
fcis-17466	138	30	of	of	ADP
fcis-17466	138	31	surface	surface	NOUN
fcis-17466	138	32	temperatures	temperature	NOUN
fcis-17466	138	33	from	from	ADP
fcis-17466	138	34	1850	1850	NUM
fcis-17466	138	35	to	to	ADP
fcis-17466	138	36	2122	2122	NUM
fcis-17466	138	37	.	.	PUNCT
fcis-17466	139	1	figure	figure	NOUN
fcis-17466	139	2	3	3	NUM
fcis-17466	139	3	.	.	PUNCT
fcis-17466	140	1	output	output	NOUN
fcis-17466	140	2	results	result	NOUN
fcis-17466	140	3	of	of	ADP
fcis-17466	140	4	the	the	DET
fcis-17466	140	5	bilstm	bilstm	NOUN
fcis-17466	140	6	model	model	NOUN
fcis-17466	140	7	(	(	PUNCT
fcis-17466	140	8	left	left	ADJ
fcis-17466	140	9	)	)	PUNCT
fcis-17466	140	10	and	and	CCONJ
fcis-17466	140	11	the	the	DET
fcis-17466	140	12	trend	trend	NOUN
fcis-17466	140	13	line	line	NOUN
fcis-17466	140	14	of	of	ADP
fcis-17466	140	15	surface	surface	NOUN
fcis-17466	140	16	temperature	temperature	NOUN
fcis-17466	140	17	from	from	ADP
fcis-17466	140	18	according	accord	VERB
fcis-17466	140	19	to	to	ADP
fcis-17466	140	20	the	the	DET
fcis-17466	140	21	left	left	ADJ
fcis-17466	140	22	graph	graph	NOUN
fcis-17466	140	23	in	in	ADP
fcis-17466	140	24	figure	figure	NOUN
fcis-17466	140	25	3	3	NUM
fcis-17466	140	26	,	,	PUNCT
fcis-17466	140	27	future	future	ADJ
fcis-17466	140	28	surface	surface	NOUN
fcis-17466	140	29	maximum	maximum	ADJ
fcis-17466	140	30	temperatures	temperature	NOUN
fcis-17466	140	31	are	be	AUX
fcis-17466	140	32	expected	expect	VERB
fcis-17466	140	33	to	to	PART
fcis-17466	140	34	continue	continue	VERB
fcis-17466	140	35	fluctuating	fluctuate	VERB
fcis-17466	140	36	.	.	PUNCT
fcis-17466	141	1	the	the	DET
fcis-17466	141	2	right	right	ADJ
fcis-17466	141	3	graph	graph	NOUN
fcis-17466	141	4	indicates	indicate	VERB
fcis-17466	141	5	that	that	SCONJ
fcis-17466	141	6	these	these	DET
fcis-17466	141	7	temperatures	temperature	NOUN
fcis-17466	141	8	will	will	AUX
fcis-17466	141	9	initially	initially	ADV
fcis-17466	141	10	follow	follow	VERB
fcis-17466	141	11	the	the	DET
fcis-17466	141	12	existing	exist	VERB
fcis-17466	141	13	upward	upward	ADJ
fcis-17466	141	14	trend	trend	NOUN
fcis-17466	141	15	,	,	PUNCT
fcis-17466	141	16	then	then	ADV
fcis-17466	141	17	experience	experience	VERB
fcis-17466	141	18	a	a	DET
fcis-17466	141	19	decline	decline	NOUN
fcis-17466	141	20	before	before	ADP
fcis-17466	141	21	resuming	resume	VERB
fcis-17466	141	22	the	the	DET
fcis-17466	141	23	rise	rise	NOUN
fcis-17466	141	24	.	.	PUNCT
fcis-17466	142	1	similar	similar	ADJ
fcis-17466	142	2	effects	effect	NOUN
fcis-17466	142	3	have	have	AUX
fcis-17466	142	4	been	be	AUX
fcis-17466	142	5	reported	report	VERB
fcis-17466	142	6	in	in	ADP
fcis-17466	142	7	some	some	DET
fcis-17466	142	8	studies	study	NOUN
fcis-17466	142	9	[	[	X
fcis-17466	142	10	3	3	NUM
fcis-17466	142	11	]	]	PUNCT
fcis-17466	142	12	,	,	PUNCT
fcis-17466	142	13	suggesting	suggest	VERB
fcis-17466	142	14	potentials	potential	NOUN
fcis-17466	142	15	for	for	ADP
fcis-17466	142	16	a	a	DET
fcis-17466	142	17	temporary	temporary	ADJ
fcis-17466	142	18	halt	halt	NOUN
fcis-17466	142	19	in	in	ADP
fcis-17466	142	20	the	the	DET
fcis-17466	142	21	increasing	increase	VERB
fcis-17466	142	22	temperatures	temperature	NOUN
fcis-17466	142	23	.	.	PUNCT
fcis-17466	143	1	if	if	SCONJ
fcis-17466	143	2	left	leave	VERB
fcis-17466	143	3	unimpeded	unimpeded	ADJ
fcis-17466	143	4	,	,	PUNCT
fcis-17466	143	5	a	a	DET
fcis-17466	143	6	sharp	sharp	ADJ
fcis-17466	143	7	rise	rise	NOUN
fcis-17466	143	8	could	could	AUX
fcis-17466	143	9	occur	occur	VERB
fcis-17466	143	10	once	once	ADV
fcis-17466	143	11	again	again	ADV
fcis-17466	143	12	.	.	PUNCT
fcis-17466	144	1	descriptive	descriptive	ADJ
fcis-17466	144	2	statistics	statistic	NOUN
fcis-17466	144	3	show	show	VERB
fcis-17466	144	4	that	that	SCONJ
fcis-17466	144	5	from	from	ADP
fcis-17466	144	6	1923	1923	NUM
fcis-17466	144	7	to	to	ADP
fcis-17466	144	8	2022	2022	NUM
fcis-17466	144	9	,	,	PUNCT
fcis-17466	144	10	the	the	DET
fcis-17466	144	11	average	average	ADJ
fcis-17466	144	12	maximum	maximum	ADJ
fcis-17466	144	13	surface	surface	NOUN
fcis-17466	144	14	temperature	temperature	NOUN
fcis-17466	144	15	was	be	AUX
fcis-17466	144	16	14.3967	14.3967	NUM
fcis-17466	144	17	°	°	NOUN
fcis-17466	144	18	c	c	NOUN
fcis-17466	144	19	,	,	PUNCT
fcis-17466	144	20	with	with	ADP
fcis-17466	144	21	a	a	DET
fcis-17466	144	22	peak	peak	NOUN
fcis-17466	144	23	at	at	ADP
fcis-17466	144	24	15.2700	15.2700	NUM
fcis-17466	144	25	°	°	ADP
fcis-17466	144	26	c	c	NOUN
fcis-17466	144	27	and	and	CCONJ
fcis-17466	144	28	a	a	DET
fcis-17466	144	29	low	low	NOUN
fcis-17466	144	30	at	at	ADP
fcis-17466	144	31	13.8370	13.8370	NUM
fcis-17466	144	32	°	°	NOUN
fcis-17466	144	33	c	c	NOUN
fcis-17466	144	34	.	.	PUNCT
fcis-17466	145	1	for	for	ADP
fcis-17466	145	2	the	the	DET
fcis-17466	145	3	period	period	NOUN
fcis-17466	145	4	2023	2023	NUM
fcis-17466	145	5	to	to	ADP
fcis-17466	145	6	2122	2122	NUM
fcis-17466	145	7	,	,	PUNCT
fcis-17466	145	8	the	the	DET
fcis-17466	145	9	forecasted	forecast	VERB
fcis-17466	145	10	average	average	ADJ
fcis-17466	145	11	maximum	maximum	ADJ
fcis-17466	145	12	surface	surface	NOUN
fcis-17466	145	13	temperature	temperature	NOUN
fcis-17466	145	14	is	be	AUX
fcis-17466	145	15	15.7569	15.7569	NUM
fcis-17466	145	16	°	°	ADP
fcis-17466	145	17	c	c	NOUN
fcis-17466	145	18	,	,	PUNCT
fcis-17466	145	19	with	with	ADP
fcis-17466	145	20	the	the	DET
fcis-17466	145	21	highest	high	ADJ
fcis-17466	145	22	value	value	NOUN
fcis-17466	145	23	being	be	AUX
fcis-17466	145	24	16.8270	16.8270	NUM
fcis-17466	145	25	°	°	ADP
fcis-17466	145	26	c	c	NOUN
fcis-17466	145	27	and	and	CCONJ
fcis-17466	145	28	the	the	DET
fcis-17466	145	29	lowest	low	ADJ
fcis-17466	145	30	value	value	NOUN
fcis-17466	145	31	at	at	ADP
fcis-17466	145	32	14.9791	14.9791	NUM
fcis-17466	145	33	°	°	NOUN
fcis-17466	145	34	c	c	NOUN
fcis-17466	145	35	.	.	PUNCT
fcis-17466	146	1	a	a	DET
fcis-17466	146	2	century	century	NOUN
fcis-17466	146	3	later	later	ADV
fcis-17466	146	4	,	,	PUNCT
fcis-17466	146	5	worsening	worsen	VERB
fcis-17466	146	6	climate	climate	NOUN
fcis-17466	146	7	conditions	condition	NOUN
fcis-17466	146	8	could	could	AUX
fcis-17466	146	9	intensify	intensify	VERB
fcis-17466	146	10	,	,	PUNCT
fcis-17466	146	11	with	with	ADP
fcis-17466	146	12	the	the	DET
fcis-17466	146	13	lowest	low	ADJ
fcis-17466	146	14	temperatures	temperature	NOUN
fcis-17466	146	15	being	be	AUX
fcis-17466	146	16	only	only	ADV
fcis-17466	146	17	0.2909	0.2909	NUM
fcis-17466	146	18	°	°	ADP
fcis-17466	146	19	c	c	NOUN
fcis-17466	146	20	less	less	ADJ
fcis-17466	146	21	than	than	ADP
fcis-17466	146	22	the	the	DET
fcis-17466	146	23	peak	peak	NOUN
fcis-17466	146	24	temperatures	temperature	NOUN
fcis-17466	146	25	from	from	ADP
fcis-17466	146	26	1923	1923	NUM
fcis-17466	146	27	-	-	SYM
fcis-17466	146	28	2022	2022	NUM
fcis-17466	146	29	.	.	PUNCT
fcis-17466	147	1	additionally	additionally	ADV
fcis-17466	147	2	,	,	PUNCT
fcis-17466	147	3	the	the	DET
fcis-17466	147	4	highest	high	ADJ
fcis-17466	147	5	temperature	temperature	NOUN
fcis-17466	147	6	is	be	AUX
fcis-17466	147	7	projected	project	VERB
fcis-17466	147	8	to	to	PART
fcis-17466	147	9	increase	increase	VERB
fcis-17466	147	10	by	by	ADP
fcis-17466	147	11	1.557	1.557	NUM
fcis-17466	148	1	°	°	NOUN
fcis-17466	148	2	c	c	NOUN
fcis-17466	148	3	compared	compare	VERB
fcis-17466	148	4	to	to	ADP
fcis-17466	148	5	the	the	DET
fcis-17466	148	6	period	period	NOUN
fcis-17466	148	7	from	from	ADP
fcis-17466	148	8	1923	1923	NUM
fcis-17466	148	9	-	-	SYM
fcis-17466	148	10	2022	2022	NUM
fcis-17466	148	11	,	,	PUNCT
fcis-17466	148	12	which	which	PRON
fcis-17466	148	13	suggests	suggest	VERB
fcis-17466	148	14	an	an	DET
fcis-17466	148	15	increase	increase	NOUN
fcis-17466	148	16	in	in	ADP
fcis-17466	148	17	extreme	extreme	ADJ
fcis-17466	148	18	weather	weather	NOUN
fcis-17466	148	19	events	event	NOUN
fcis-17466	148	20	.	.	PUNCT
fcis-17466	149	1	the	the	DET
fcis-17466	149	2	average	average	ADJ
fcis-17466	149	3	maximum	maximum	ADJ
fcis-17466	149	4	surface	surface	NOUN
fcis-17466	149	5	temperature	temperature	NOUN
fcis-17466	149	6	over	over	ADP
fcis-17466	149	7	the	the	DET
fcis-17466	149	8	century	century	NOUN
fcis-17466	149	9	is	be	AUX
fcis-17466	149	10	expected	expect	VERB
fcis-17466	149	11	to	to	PART
fcis-17466	149	12	rise	rise	VERB
fcis-17466	149	13	by	by	ADP
fcis-17466	149	14	1.3602	1.3602	NUM
fcis-17466	149	15	°	°	NOUN
fcis-17466	149	16	c	c	NOUN
fcis-17466	149	17	,	,	PUNCT
fcis-17466	149	18	potentially	potentially	ADV
fcis-17466	149	19	leading	lead	VERB
fcis-17466	149	20	to	to	ADP
fcis-17466	149	21	a	a	DET
fcis-17466	149	22	heightened	heightened	ADJ
fcis-17466	149	23	trend	trend	NOUN
fcis-17466	149	24	in	in	ADP
fcis-17466	149	25	sealevel	sealevel	NOUN
fcis-17466	149	26	rise	rise	NOUN
fcis-17466	149	27	,	,	PUNCT
fcis-17466	149	28	impacts	impact	NOUN
fcis-17466	149	29	on	on	ADP
fcis-17466	149	30	crop	crop	NOUN
fcis-17466	149	31	yields	yield	NOUN
fcis-17466	149	32	[	[	X
fcis-17466	149	33	22	22	NUM
fcis-17466	149	34	]	]	PUNCT
fcis-17466	149	35	,	,	PUNCT
fcis-17466	149	36	and	and	CCONJ
fcis-17466	149	37	human	human	ADJ
fcis-17466	149	38	health	health	NOUN
fcis-17466	150	1	[	[	X
fcis-17466	150	2	23	23	NUM
fcis-17466	150	3	]	]	PUNCT
fcis-17466	150	4	.	.	PUNCT
fcis-17466	151	1	previous	previous	ADJ
fcis-17466	151	2	predictions	prediction	NOUN
fcis-17466	151	3	estimated	estimate	VERB
fcis-17466	151	4	that	that	SCONJ
fcis-17466	151	5	surface	surface	NOUN
fcis-17466	151	6	temperatures	temperature	NOUN
fcis-17466	151	7	could	could	AUX
fcis-17466	151	8	rise	rise	VERB
fcis-17466	151	9	by	by	ADP
fcis-17466	151	10	1.4	1.4	NUM
fcis-17466	151	11	-	-	SYM
fcis-17466	151	12	5.8	5.8	NUM
fcis-17466	151	13	°	°	SYM
fcis-17466	151	14	c	c	NOUN
fcis-17466	151	15	(	(	PUNCT
fcis-17466	151	16	dhillon	dhillon	PROPN
fcis-17466	151	17	rs	rs	PROPN
fcis-17466	151	18	and	and	CCONJ
fcis-17466	151	19	von	von	PROPN
fcis-17466	151	20	wuehlisch	wuehlisch	VERB
fcis-17466	151	21	g	g	PROPN
fcis-17466	151	22	2013	2013	NUM
fcis-17466	151	23	)	)	PUNCT
fcis-17466	151	24	in	in	ADP
fcis-17466	151	25	the	the	DET
fcis-17466	151	26	future	future	NOUN
fcis-17466	151	27	.	.	PUNCT
fcis-17466	152	1	the	the	DET
fcis-17466	152	2	continual	continual	ADJ
fcis-17466	152	3	increase	increase	NOUN
fcis-17466	152	4	in	in	ADP
fcis-17466	152	5	primary	primary	ADJ
fcis-17466	152	6	energy	energy	NOUN
fcis-17466	152	7	consumption	consumption	NOUN
fcis-17466	152	8	and	and	CCONJ
fcis-17466	152	9	corresponding	correspond	VERB
fcis-17466	152	10	carbon	carbon	NOUN
fcis-17466	152	11	dioxide	dioxide	NOUN
fcis-17466	152	12	emissions	emission	NOUN
fcis-17466	152	13	could	could	AUX
fcis-17466	152	14	mean	mean	VERB
fcis-17466	152	15	that	that	SCONJ
fcis-17466	152	16	actual	actual	ADJ
fcis-17466	152	17	temperatures	temperature	NOUN
fcis-17466	152	18	may	may	AUX
fcis-17466	152	19	exceed	exceed	VERB
fcis-17466	152	20	the	the	DET
fcis-17466	152	21	predictions	prediction	NOUN
fcis-17466	152	22	of	of	ADP
fcis-17466	152	23	this	this	DET
fcis-17466	152	24	study	study	NOUN
fcis-17466	152	25	,	,	PUNCT
fcis-17466	152	26	corroborating	corroborate	VERB
fcis-17466	152	27	these	these	DET
fcis-17466	152	28	scholarly	scholarly	ADJ
fcis-17466	152	29	estimates	estimate	NOUN
fcis-17466	152	30	.	.	PUNCT
fcis-17466	153	1	4.1.2	4.1.2	X
fcis-17466	153	2	.	.	PUNCT
fcis-17466	153	3	bilstm	bilstm	NOUN
fcis-17466	153	4	performance	performance	NOUN
fcis-17466	153	5	comparison	comparison	NOUN
fcis-17466	153	6	based	base	VERB
fcis-17466	153	7	on	on	ADP
fcis-17466	153	8	the	the	DET
fcis-17466	153	9	sarima	sarima	NOUN
fcis-17466	153	10	model	model	NOUN
fcis-17466	153	11	to	to	PART
fcis-17466	153	12	demonstrate	demonstrate	VERB
fcis-17466	153	13	the	the	DET
fcis-17466	153	14	performance	performance	NOUN
fcis-17466	153	15	of	of	ADP
fcis-17466	153	16	bilstm	bilstm	NOUN
fcis-17466	153	17	,	,	PUNCT
fcis-17466	153	18	it	it	PRON
fcis-17466	153	19	suffices	suffice	VERB
fcis-17466	153	20	to	to	PART
fcis-17466	153	21	show	show	VERB
fcis-17466	153	22	that	that	SCONJ
fcis-17466	153	23	it	it	PRON
fcis-17466	153	24	outperforms	outperform	VERB
fcis-17466	153	25	the	the	DET
fcis-17466	153	26	sarima	sarima	NOUN
fcis-17466	153	27	model	model	NOUN
fcis-17466	153	28	in	in	ADP
fcis-17466	153	29	its	its	PRON
fcis-17466	153	30	optimal	optimal	ADJ
fcis-17466	153	31	state	state	NOUN
fcis-17466	153	32	with	with	ADP
fcis-17466	153	33	higher	high	ADJ
fcis-17466	153	34	errors	error	NOUN
fcis-17466	153	35	.	.	PUNCT
fcis-17466	154	1	this	this	DET
fcis-17466	154	2	study	study	NOUN
fcis-17466	154	3	does	do	AUX
fcis-17466	154	4	not	not	PART
fcis-17466	154	5	purposefully	purposefully	ADV
fcis-17466	154	6	deteriorate	deteriorate	VERB
fcis-17466	154	7	the	the	DET
fcis-17466	154	8	sarima	sarima	NOUN
fcis-17466	154	9	model	model	NOUN
fcis-17466	154	10	;	;	PUNCT
fcis-17466	154	11	on	on	ADP
fcis-17466	154	12	the	the	DET
fcis-17466	154	13	contrary	contrary	NOUN
fcis-17466	154	14	,	,	PUNCT
fcis-17466	154	15	it	it	PRON
fcis-17466	154	16	utilizes	utilize	VERB
fcis-17466	154	17	fourier	fourier	NOUN
fcis-17466	154	18	series	series	NOUN
fcis-17466	154	19	to	to	PART
fcis-17466	154	20	capture	capture	VERB
fcis-17466	154	21	the	the	DET
fcis-17466	154	22	periodicity	periodicity	NOUN
fcis-17466	154	23	in	in	ADP
fcis-17466	154	24	the	the	DET
fcis-17466	154	25	growth	growth	NOUN
fcis-17466	154	26	rates	rate	NOUN
fcis-17466	154	27	of	of	ADP
fcis-17466	154	28	maximum	maximum	ADJ
fcis-17466	154	29	surface	surface	NOUN
fcis-17466	154	30	temperatures	temperature	NOUN
fcis-17466	154	31	.	.	PUNCT
fcis-17466	155	1	based	base	VERB
fcis-17466	155	2	on	on	ADP
fcis-17466	155	3	the	the	DET
fcis-17466	155	4	period	period	NOUN
fcis-17466	155	5	t	t	NOUN
fcis-17466	155	6	derived	derive	VERB
fcis-17466	155	7	from	from	ADP
fcis-17466	155	8	fourier	fourier	NOUN
fcis-17466	155	9	series	series	NOUN
fcis-17466	155	10	,	,	PUNCT
fcis-17466	155	11	we	we	PRON
fcis-17466	155	12	set	set	VERB
fcis-17466	155	13	the	the	DET
fcis-17466	155	14	seasonal	seasonal	ADJ
fcis-17466	155	15	index	index	NOUN
fcis-17466	155	16	for	for	ADP
fcis-17466	155	17	sarima	sarima	NOUN
fcis-17466	155	18	at	at	ADP
fcis-17466	155	19	5	5	NUM
fcis-17466	155	20	.	.	PUNCT
fcis-17466	155	21	guided	guide	VERB
fcis-17466	155	22	by	by	ADP
fcis-17466	155	23	the	the	DET
fcis-17466	155	24	aic	aic	PROPN
fcis-17466	155	25	criterion	criterion	NOUN
fcis-17466	155	26	and	and	CCONJ
fcis-17466	155	27	setting	set	VERB
fcis-17466	155	28	maximum	maximum	ADJ
fcis-17466	155	29	values	value	NOUN
fcis-17466	155	30	for	for	ADP
fcis-17466	155	31	the	the	DET
fcis-17466	155	32	orders	order	NOUN
fcis-17466	155	33	p	p	X
fcis-17466	155	34	,	,	PUNCT
fcis-17466	155	35	q	q	ADJ
fcis-17466	155	36	,	,	PUNCT
fcis-17466	155	37	p	p	X
fcis-17466	155	38	,	,	PUNCT
fcis-17466	155	39	q	q	NOUN
fcis-17466	155	40	at	at	ADP
fcis-17466	155	41	4	4	NUM
fcis-17466	155	42	,	,	PUNCT
fcis-17466	155	43	and	and	CCONJ
fcis-17466	155	44	for	for	ADP
fcis-17466	155	45	d	d	PROPN
fcis-17466	155	46	and	and	CCONJ
fcis-17466	155	47	d	d	NOUN
fcis-17466	155	48	at	at	ADP
fcis-17466	155	49	2	2	NUM
fcis-17466	155	50	(	(	PUNCT
fcis-17466	155	51	with	with	ADP
fcis-17466	155	52	all	all	DET
fcis-17466	155	53	minimum	minimum	ADJ
fcis-17466	155	54	values	value	NOUN
fcis-17466	155	55	being	be	AUX
fcis-17466	155	56	zero	zero	NUM
fcis-17466	155	57	)	)	PUNCT
fcis-17466	155	58	,	,	PUNCT
fcis-17466	155	59	we	we	PRON
fcis-17466	155	60	conducted	conduct	VERB
fcis-17466	155	61	a	a	DET
fcis-17466	155	62	search	search	NOUN
fcis-17466	155	63	for	for	ADP
fcis-17466	155	64	optimal	optimal	ADJ
fcis-17466	155	65	parameters	parameter	NOUN
fcis-17466	155	66	.	.	PUNCT
fcis-17466	156	1	the	the	DET
fcis-17466	156	2	best	good	ADJ
fcis-17466	156	3	structure	structure	NOUN
fcis-17466	156	4	identified	identify	VERB
fcis-17466	156	5	was	be	AUX
fcis-17466	156	6	sarima	sarima	NOUN
fcis-17466	156	7	(	(	PUNCT
fcis-17466	156	8	4,0,4	4,0,4	NUM
fcis-17466	156	9	)	)	PUNCT
fcis-17466	156	10	(	(	PUNCT
fcis-17466	156	11	4,0,4	4,0,4	NUM
fcis-17466	156	12	)	)	PUNCT
fcis-17466	157	1	[	[	X
fcis-17466	157	2	5	5	NUM
fcis-17466	157	3	]	]	PUNCT
fcis-17466	157	4	.	.	PUNCT
fcis-17466	158	1	using	use	VERB
fcis-17466	158	2	a	a	DET
fcis-17466	158	3	dataset	dataset	NOUN
fcis-17466	158	4	split	split	NOUN
fcis-17466	158	5	into	into	ADP
fcis-17466	158	6	a	a	DET
fcis-17466	158	7	training	training	NOUN
fcis-17466	158	8	set	set	NOUN
fcis-17466	158	9	of	of	ADP
fcis-17466	158	10	167	167	NUM
fcis-17466	158	11	samples	sample	NOUN
fcis-17466	158	12	and	and	CCONJ
fcis-17466	158	13	a	a	DET
fcis-17466	158	14	test	test	NOUN
fcis-17466	158	15	set	set	NOUN
fcis-17466	158	16	of	of	ADP
fcis-17466	158	17	5	5	NUM
fcis-17466	158	18	samples	sample	NOUN
fcis-17466	158	19	,	,	PUNCT
fcis-17466	158	20	we	we	PRON
fcis-17466	158	21	employed	employ	VERB
fcis-17466	158	22	consistent	consistent	ADJ
fcis-17466	158	23	settings	setting	NOUN
fcis-17466	158	24	to	to	PART
fcis-17466	158	25	train	train	VERB
fcis-17466	158	26	our	our	PRON
fcis-17466	158	27	bilstm	bilstm	NOUN
fcis-17466	158	28	model	model	NOUN
fcis-17466	158	29	.	.	PUNCT
fcis-17466	159	1	the	the	DET
fcis-17466	159	2	comparative	comparative	ADJ
fcis-17466	159	3	outcomes	outcome	NOUN
fcis-17466	159	4	for	for	ADP
fcis-17466	159	5	mean	mean	VERB
fcis-17466	159	6	absolute	absolute	ADJ
fcis-17466	159	7	error	error	NOUN
fcis-17466	159	8	(	(	PUNCT
fcis-17466	159	9	mae	mae	PROPN
fcis-17466	159	10	)	)	PUNCT
fcis-17466	159	11	,	,	PUNCT
fcis-17466	159	12	mean	mean	VERB
fcis-17466	159	13	squared	square	VERB
fcis-17466	159	14	error	error	NOUN
fcis-17466	159	15	(	(	PUNCT
fcis-17466	159	16	mse	mse	NOUN
fcis-17466	159	17	)	)	PUNCT
fcis-17466	159	18	,	,	PUNCT
fcis-17466	159	19	and	and	CCONJ
fcis-17466	159	20	root	root	NOUN
fcis-17466	159	21	mean	mean	VERB
fcis-17466	159	22	squared	square	VERB
fcis-17466	159	23	error	error	NOUN
fcis-17466	159	24	(	(	PUNCT
fcis-17466	159	25	rmse	rmse	NOUN
fcis-17466	159	26	)	)	PUNCT
fcis-17466	159	27	are	be	AUX
fcis-17466	159	28	presented	present	VERB
fcis-17466	159	29	in	in	ADP
fcis-17466	159	30	table	table	NOUN
fcis-17466	159	31	1	1	NUM
fcis-17466	159	32	.	.	PUNCT
fcis-17466	159	33	table	table	NOUN
fcis-17466	159	34	1	1	NUM
fcis-17466	159	35	.	.	PUNCT
fcis-17466	159	36	error	error	NOUN
fcis-17466	159	37	testing	testing	NOUN
fcis-17466	159	38	for	for	ADP
fcis-17466	159	39	bilstm	bilstm	NOUN
fcis-17466	159	40	and	and	CCONJ
fcis-17466	159	41	sarima	sarima	PROPN
fcis-17466	159	42	model	model	PROPN
fcis-17466	159	43	mae	mae	PROPN
fcis-17466	159	44	mse	mse	PROPN
fcis-17466	159	45	rmse	rmse	PROPN
fcis-17466	159	46	bilstm	bilstm	NOUN
fcis-17466	159	47	0.0056	0.0056	NUM
fcis-17466	159	48	0.0000	0.0000	NUM
fcis-17466	159	49	0.0064	0.0064	NUM
fcis-17466	159	50	sarima	sarima	NOUN
fcis-17466	159	51	0.0060	0.0060	NUM
fcis-17466	159	52	0.0001	0.0001	NUM
fcis-17466	159	53	0.0071	0.0071	NUM
fcis-17466	159	54	despite	despite	SCONJ
fcis-17466	159	55	its	its	PRON
fcis-17466	159	56	larger	large	ADJ
fcis-17466	159	57	number	number	NOUN
fcis-17466	159	58	of	of	ADP
fcis-17466	159	59	parameters	parameter	NOUN
fcis-17466	159	60	and	and	CCONJ
fcis-17466	159	61	longer	long	ADJ
fcis-17466	159	62	runtime	runtime	NOUN
fcis-17466	159	63	,	,	PUNCT
fcis-17466	159	64	without	without	ADP
fcis-17466	159	65	undergoing	undergo	VERB
fcis-17466	159	66	parameter	parameter	NOUN
fcis-17466	159	67	optimization	optimization	NOUN
fcis-17466	159	68	,	,	PUNCT
fcis-17466	159	69	the	the	DET
fcis-17466	159	70	bilstm	bilstm	NOUN
fcis-17466	159	71	model	model	NOUN
fcis-17466	159	72	still	still	ADV
fcis-17466	159	73	surpasses	surpass	VERB
fcis-17466	159	74	sarima	sarima	NOUN
fcis-17466	159	75	models	model	NOUN
fcis-17466	159	76	with	with	ADP
fcis-17466	159	77	orders	order	NOUN
fcis-17466	159	78	below	below	ADP
fcis-17466	159	79	five	five	NUM
fcis-17466	159	80	,	,	PUNCT
fcis-17466	159	81	indicating	indicate	VERB
fcis-17466	159	82	excellent	excellent	ADJ
fcis-17466	159	83	performance	performance	NOUN
fcis-17466	159	84	and	and	CCONJ
fcis-17466	159	85	predictive	predictive	ADJ
fcis-17466	159	86	capabilities	capability	NOUN
fcis-17466	159	87	of	of	ADP
fcis-17466	159	88	bilstm	bilstm	NOUN
fcis-17466	159	89	.	.	PUNCT
fcis-17466	160	1	this	this	PRON
fcis-17466	160	2	underscores	underscore	VERB
fcis-17466	160	3	the	the	DET
fcis-17466	160	4	advantages	advantage	NOUN
fcis-17466	160	5	of	of	ADP
fcis-17466	160	6	the	the	DET
fcis-17466	160	7	bilstm	bilstm	NOUN
fcis-17466	160	8	model	model	NOUN
fcis-17466	160	9	in	in	ADP
fcis-17466	160	10	time	time	NOUN
fcis-17466	160	11	series	series	PROPN
fcis-17466	160	12	analysis	analysis	NOUN
fcis-17466	160	13	.	.	PUNCT
fcis-17466	161	1	additionally	additionally	ADV
fcis-17466	161	2	,	,	PUNCT
fcis-17466	161	3	it	it	PRON
fcis-17466	161	4	suggests	suggest	VERB
fcis-17466	161	5	that	that	SCONJ
fcis-17466	161	6	with	with	ADP
fcis-17466	161	7	accurate	accurate	ADJ
fcis-17466	161	8	parameter	parameter	NOUN
fcis-17466	161	9	tuning	tuning	NOUN
fcis-17466	161	10	,	,	PUNCT
fcis-17466	161	11	statistical	statistical	ADJ
fcis-17466	161	12	models	model	NOUN
fcis-17466	161	13	or	or	CCONJ
fcis-17466	161	14	machine	machine	NOUN
fcis-17466	161	15	learning	learning	NOUN
fcis-17466	161	16	models	model	NOUN
fcis-17466	161	17	can	can	AUX
fcis-17466	161	18	also	also	ADV
fcis-17466	161	19	achieve	achieve	VERB
fcis-17466	161	20	impressive	impressive	ADJ
fcis-17466	161	21	prediction	prediction	NOUN
fcis-17466	161	22	results	result	NOUN
fcis-17466	161	23	.	.	PUNCT
fcis-17466	162	1	4.2	4.2	NUM
fcis-17466	162	2	.	.	PUNCT
fcis-17466	162	3	construction	construction	NOUN
fcis-17466	162	4	and	and	CCONJ
fcis-17466	162	5	prediction	prediction	NOUN
fcis-17466	162	6	of	of	ADP
fcis-17466	162	7	the	the	DET
fcis-17466	162	8	early	early	ADJ
fcis-17466	162	9	warning	warning	NOUN
fcis-17466	162	10	system	system	NOUN
fcis-17466	162	11	4.2.1	4.2.1	NOUN
fcis-17466	162	12	.	.	PUNCT
fcis-17466	163	1	construction	construction	NOUN
fcis-17466	163	2	of	of	ADP
fcis-17466	163	3	early	early	ADJ
fcis-17466	163	4	warning	warning	NOUN
fcis-17466	163	5	indicators	indicator	NOUN
fcis-17466	163	6	based	base	VERB
fcis-17466	163	7	on	on	ADP
fcis-17466	163	8	the	the	DET
fcis-17466	163	9	k	k	NOUN
fcis-17466	163	10	-	-	PUNCT
fcis-17466	163	11	means	mean	VERB
fcis-17466	163	12	clustering	cluster	VERB
fcis-17466	163	13	algorithm	algorithm	NOUN
fcis-17466	163	14	the	the	DET
fcis-17466	163	15	establishment	establishment	NOUN
fcis-17466	163	16	of	of	ADP
fcis-17466	163	17	an	an	DET
fcis-17466	163	18	early	early	ADJ
fcis-17466	163	19	warning	warning	NOUN
fcis-17466	163	20	system	system	NOUN
fcis-17466	163	21	is	be	AUX
fcis-17466	163	22	aimed	aim	VERB
fcis-17466	163	23	at	at	ADP
fcis-17466	163	24	alerting	alert	VERB
fcis-17466	163	25	people	people	NOUN
fcis-17466	163	26	of	of	ADP
fcis-17466	163	27	potential	potential	ADJ
fcis-17466	163	28	dangers	danger	NOUN
fcis-17466	163	29	or	or	CCONJ
fcis-17466	163	30	emergencies	emergency	NOUN
fcis-17466	163	31	to	to	PART
fcis-17466	163	32	enable	enable	VERB
fcis-17466	163	33	appropriate	appropriate	ADJ
fcis-17466	163	34	preventive	preventive	ADJ
fcis-17466	163	35	and	and	CCONJ
fcis-17466	163	36	protective	protective	ADJ
fcis-17466	163	37	measures	measure	NOUN
fcis-17466	163	38	to	to	PART
fcis-17466	163	39	be	be	AUX
fcis-17466	163	40	taken	take	VERB
fcis-17466	163	41	,	,	PUNCT
fcis-17466	163	42	thereby	thereby	ADV
fcis-17466	163	43	reducing	reduce	VERB
fcis-17466	163	44	losses	loss	NOUN
fcis-17466	163	45	and	and	CCONJ
fcis-17466	163	46	safeguarding	safeguard	VERB
fcis-17466	163	47	personal	personal	ADJ
fcis-17466	163	48	safety	safety	NOUN
fcis-17466	163	49	.	.	PUNCT
fcis-17466	164	1	we	we	PRON
fcis-17466	164	2	consider	consider	VERB
fcis-17466	164	3	early	early	ADJ
fcis-17466	164	4	warning	warning	NOUN
fcis-17466	164	5	indicators	indicator	NOUN
fcis-17466	164	6	as	as	ADP
fcis-17466	164	7	the	the	DET
fcis-17466	164	8	threshold	threshold	NOUN
fcis-17466	164	9	for	for	ADP
fcis-17466	164	10	the	the	DET
fcis-17466	164	11	warning	warning	NOUN
fcis-17466	164	12	system	system	NOUN
fcis-17466	164	13	.	.	PUNCT
fcis-17466	165	1	when	when	SCONJ
fcis-17466	165	2	warning	warning	NOUN
fcis-17466	165	3	indicators	indicator	NOUN
fcis-17466	165	4	include	include	VERB
fcis-17466	165	5	controllable	controllable	ADJ
fcis-17466	165	6	human	human	ADJ
fcis-17466	165	7	factors	factor	NOUN
fcis-17466	165	8	,	,	PUNCT
fcis-17466	165	9	suitable	suitable	ADJ
fcis-17466	165	10	measures	measure	NOUN
fcis-17466	165	11	can	can	AUX
fcis-17466	165	12	more	more	ADV
fcis-17466	165	13	easily	easily	ADV
fcis-17466	165	14	be	be	AUX
fcis-17466	165	15	taken	take	VERB
fcis-17466	165	16	to	to	PART
fcis-17466	165	17	reduce	reduce	VERB
fcis-17466	165	18	potential	potential	ADJ
fcis-17466	165	19	risks	risk	NOUN
fcis-17466	165	20	.	.	PUNCT
fcis-17466	166	1	furthermore	furthermore	ADV
fcis-17466	166	2	,	,	PUNCT
fcis-17466	166	3	early	early	ADV
fcis-17466	166	4	warning	warn	VERB
fcis-17466	166	5	16	16	NUM
fcis-17466	166	6	indicators	indicator	NOUN
fcis-17466	166	7	can	can	AUX
fcis-17466	166	8	be	be	AUX
fcis-17466	166	9	improved	improve	VERB
fcis-17466	166	10	through	through	ADP
fcis-17466	166	11	regulatory	regulatory	ADJ
fcis-17466	166	12	,	,	PUNCT
fcis-17466	166	13	policy	policy	NOUN
fcis-17466	166	14	,	,	PUNCT
fcis-17466	166	15	and	and	CCONJ
fcis-17466	166	16	legal	legal	ADJ
fcis-17466	166	17	means	mean	NOUN
fcis-17466	166	18	when	when	SCONJ
fcis-17466	166	19	they	they	PRON
fcis-17466	166	20	depend	depend	VERB
fcis-17466	166	21	on	on	ADP
fcis-17466	166	22	human	human	ADJ
fcis-17466	166	23	factors	factor	NOUN
fcis-17466	166	24	.	.	PUNCT
fcis-17466	167	1	therefore	therefore	ADV
fcis-17466	167	2	,	,	PUNCT
fcis-17466	167	3	this	this	DET
fcis-17466	167	4	study	study	NOUN
fcis-17466	167	5	selects	select	VERB
fcis-17466	167	6	the	the	DET
fcis-17466	167	7	carbon	carbon	NOUN
fcis-17466	167	8	dioxide	dioxide	NOUN
fcis-17466	167	9	emission	emission	NOUN
fcis-17466	167	10	growth	growth	NOUN
fcis-17466	167	11	rate	rate	NOUN
fcis-17466	167	12	as	as	ADP
fcis-17466	167	13	the	the	DET
fcis-17466	167	14	early	early	ADJ
fcis-17466	167	15	warning	warning	NOUN
fcis-17466	167	16	indicator	indicator	NOUN
fcis-17466	167	17	.	.	PUNCT
fcis-17466	168	1	on	on	ADP
fcis-17466	168	2	one	one	NUM
fcis-17466	168	3	hand	hand	NOUN
fcis-17466	168	4	,	,	PUNCT
fcis-17466	168	5	co2	co2	NOUN
fcis-17466	168	6	emissions	emission	NOUN
fcis-17466	168	7	account	account	VERB
fcis-17466	168	8	for	for	ADP
fcis-17466	168	9	approximately	approximately	ADV
fcis-17466	168	10	60	60	NUM
fcis-17466	168	11	%	%	NOUN
fcis-17466	168	12	of	of	ADP
fcis-17466	168	13	global	global	ADJ
fcis-17466	168	14	warming	warming	NOUN
fcis-17466	168	15	(	(	PUNCT
fcis-17466	168	16	dhillon	dhillon	PROPN
fcis-17466	168	17	rs	rs	PROPN
fcis-17466	168	18	and	and	CCONJ
fcis-17466	168	19	von	von	PROPN
fcis-17466	168	20	wuehlisch	wuehlisch	VERB
fcis-17466	168	21	g	g	PROPN
fcis-17466	168	22	2013	2013	NUM
fcis-17466	168	23	)	)	PUNCT
fcis-17466	168	24	and	and	CCONJ
fcis-17466	168	25	significantly	significantly	ADV
fcis-17466	168	26	impact	impact	VERB
fcis-17466	168	27	the	the	DET
fcis-17466	168	28	degree	degree	NOUN
fcis-17466	168	29	of	of	ADP
fcis-17466	168	30	global	global	ADJ
fcis-17466	168	31	warming	warming	NOUN
fcis-17466	168	32	.	.	PUNCT
fcis-17466	169	1	on	on	ADP
fcis-17466	169	2	the	the	DET
fcis-17466	169	3	other	other	ADJ
fcis-17466	169	4	hand	hand	NOUN
fcis-17466	169	5	,	,	PUNCT
fcis-17466	169	6	the	the	DET
fcis-17466	169	7	rate	rate	NOUN
fcis-17466	169	8	of	of	ADP
fcis-17466	169	9	co2	co2	NOUN
fcis-17466	169	10	emission	emission	NOUN
fcis-17466	169	11	growth	growth	NOUN
fcis-17466	169	12	can	can	AUX
fcis-17466	169	13	be	be	AUX
fcis-17466	169	14	artificially	artificially	ADV
fcis-17466	169	15	adjusted	adjust	VERB
fcis-17466	169	16	by	by	ADP
fcis-17466	169	17	controlling	control	VERB
fcis-17466	169	18	energy	energy	NOUN
fcis-17466	169	19	consumption	consumption	NOUN
fcis-17466	169	20	.	.	PUNCT
fcis-17466	170	1	using	use	VERB
fcis-17466	170	2	the	the	DET
fcis-17466	170	3	k	k	ADJ
fcis-17466	170	4	-	-	PUNCT
fcis-17466	170	5	means	mean	VERB
fcis-17466	170	6	clustering	clustering	ADJ
fcis-17466	170	7	algorithm	algorithm	NOUN
fcis-17466	170	8	,	,	PUNCT
fcis-17466	170	9	we	we	PRON
fcis-17466	170	10	classified	classify	VERB
fcis-17466	170	11	co2	co2	NOUN
fcis-17466	170	12	emission	emission	NOUN
fcis-17466	170	13	growth	growth	NOUN
fcis-17466	170	14	rates	rate	NOUN
fcis-17466	170	15	from	from	ADP
fcis-17466	170	16	1981	1981	NUM
fcis-17466	170	17	-	-	SYM
fcis-17466	170	18	2021	2021	NUM
fcis-17466	170	19	into	into	ADP
fcis-17466	170	20	three	three	NUM
fcis-17466	170	21	categories	category	NOUN
fcis-17466	170	22	:	:	PUNCT
fcis-17466	170	23	"	"	PUNCT
fcis-17466	170	24	low	low	ADJ
fcis-17466	170	25	risk	risk	NOUN
fcis-17466	170	26	,	,	PUNCT
fcis-17466	170	27	"	"	PUNCT
fcis-17466	170	28	"	"	PUNCT
fcis-17466	170	29	medium	medium	ADJ
fcis-17466	170	30	risk	risk	NOUN
fcis-17466	170	31	,	,	PUNCT
fcis-17466	170	32	"	"	PUNCT
fcis-17466	170	33	and	and	CCONJ
fcis-17466	170	34	"	"	PUNCT
fcis-17466	170	35	high	high	ADJ
fcis-17466	170	36	risk	risk	NOUN
fcis-17466	170	37	.	.	PUNCT
fcis-17466	170	38	"	"	PUNCT
fcis-17466	171	1	there	there	PRON
fcis-17466	171	2	were	be	VERB
fcis-17466	171	3	18	18	NUM
fcis-17466	171	4	instances	instance	NOUN
fcis-17466	171	5	of	of	ADP
fcis-17466	171	6	low	low	ADJ
fcis-17466	171	7	risk	risk	NOUN
fcis-17466	171	8	,	,	PUNCT
fcis-17466	171	9	17	17	NUM
fcis-17466	171	10	cases	case	NOUN
fcis-17466	171	11	of	of	ADP
fcis-17466	171	12	medium	medium	ADJ
fcis-17466	171	13	risk	risk	NOUN
fcis-17466	171	14	,	,	PUNCT
fcis-17466	171	15	and	and	CCONJ
fcis-17466	171	16	6	6	NUM
fcis-17466	171	17	occurrences	occurrence	NOUN
fcis-17466	171	18	of	of	ADP
fcis-17466	171	19	high	high	ADJ
fcis-17466	171	20	risk	risk	NOUN
fcis-17466	171	21	,	,	PUNCT
fcis-17466	171	22	with	with	ADP
fcis-17466	171	23	a	a	DET
fcis-17466	171	24	silhouette	silhouette	NOUN
fcis-17466	171	25	coefficient	coefficient	NOUN
fcis-17466	171	26	of	of	ADP
fcis-17466	171	27	0.7314	0.7314	NUM
fcis-17466	171	28	,	,	PUNCT
fcis-17466	171	29	indicating	indicate	VERB
fcis-17466	171	30	satisfactory	satisfactory	ADJ
fcis-17466	171	31	clustering	clustering	NOUN
fcis-17466	171	32	and	and	CCONJ
fcis-17466	171	33	defining	define	VERB
fcis-17466	171	34	the	the	DET
fcis-17466	171	35	three	three	NUM
fcis-17466	171	36	levels	level	NOUN
fcis-17466	171	37	of	of	ADP
fcis-17466	171	38	early	early	ADJ
fcis-17466	171	39	warning	warning	NOUN
fcis-17466	171	40	indicators	indicator	NOUN
fcis-17466	171	41	as	as	SCONJ
fcis-17466	171	42	seen	see	VERB
fcis-17466	171	43	in	in	ADP
fcis-17466	171	44	figure	figure	NOUN
fcis-17466	171	45	4	4	NUM
fcis-17466	171	46	.	.	PUNCT
fcis-17466	171	47	a	a	DET
fcis-17466	171	48	descriptive	descriptive	ADJ
fcis-17466	171	49	statistical	statistical	ADJ
fcis-17466	171	50	analysis	analysis	NOUN
fcis-17466	171	51	through	through	ADP
fcis-17466	171	52	pivot	pivot	NOUN
fcis-17466	171	53	tables	table	NOUN
fcis-17466	171	54	was	be	AUX
fcis-17466	171	55	performed	perform	VERB
fcis-17466	171	56	for	for	ADP
fcis-17466	171	57	the	the	DET
fcis-17466	171	58	three	three	NUM
fcis-17466	171	59	safety	safety	NOUN
fcis-17466	171	60	warning	warning	NOUN
fcis-17466	171	61	levels	level	NOUN
fcis-17466	171	62	,	,	PUNCT
fcis-17466	171	63	as	as	SCONJ
fcis-17466	171	64	shown	show	VERB
fcis-17466	171	65	in	in	ADP
fcis-17466	171	66	table	table	NOUN
fcis-17466	171	67	2	2	NUM
fcis-17466	171	68	.	.	PUNCT
fcis-17466	171	69	figure	figure	VERB
fcis-17466	171	70	4	4	NUM
fcis-17466	171	71	.	.	PUNCT
fcis-17466	172	1	climate	climate	NOUN
fcis-17466	172	2	security	security	NOUN
fcis-17466	172	3	early	early	ADJ
fcis-17466	172	4	warning	warning	NOUN
fcis-17466	172	5	indicator	indicator	NOUN
fcis-17466	172	6	distribution	distribution	NOUN
fcis-17466	172	7	table	table	NOUN
fcis-17466	172	8	2	2	NUM
fcis-17466	172	9	.	.	PUNCT
fcis-17466	172	10	descriptive	descriptive	ADJ
fcis-17466	172	11	statistics	statistic	NOUN
fcis-17466	172	12	of	of	ADP
fcis-17466	172	13	co2	co2	NOUN
fcis-17466	172	14	emission	emission	NOUN
fcis-17466	172	15	growth	growth	NOUN
fcis-17466	172	16	rates	rate	NOUN
fcis-17466	172	17	by	by	ADP
fcis-17466	172	18	warning	warn	VERB
fcis-17466	172	19	category	category	NOUN
fcis-17466	172	20	category	category	NOUN
fcis-17466	172	21	average	average	ADJ
fcis-17466	172	22	median	median	ADJ
fcis-17466	172	23	maximum	maximum	ADJ
fcis-17466	172	24	minimum	minimum	ADJ
fcis-17466	172	25	low	low	ADJ
fcis-17466	172	26	risk	risk	NOUN
fcis-17466	172	27	-0.0032	-0.0032	PUNCT
fcis-17466	172	28	0.0001	0.0001	NUM
fcis-17466	172	29	0.0108	0.0108	NUM
fcis-17466	172	30	-0.0544	-0.0544	PUNCT
fcis-17466	172	31	medium	medium	ADJ
fcis-17466	172	32	risk	risk	NOUN
fcis-17466	172	33	0.0233	0.0233	NUM
fcis-17466	172	34	0.0222	0.0222	NUM
fcis-17466	172	35	0.0342	0.0342	NUM
fcis-17466	172	36	0.0123	0.0123	NUM
fcis-17466	172	37	high	high	ADJ
fcis-17466	172	38	risk	risk	NOUN
fcis-17466	172	39	0.0524	0.0524	NUM
fcis-17466	172	40	0.0531	0.0531	NUM
fcis-17466	172	41	0.0622	0.0622	NUM
fcis-17466	172	42	0.0394	0.0394	NUM
fcis-17466	172	43	according	accord	VERB
fcis-17466	172	44	to	to	ADP
fcis-17466	172	45	table	table	NOUN
fcis-17466	172	46	2	2	NUM
fcis-17466	172	47	,	,	PUNCT
fcis-17466	172	48	in	in	ADP
fcis-17466	172	49	the	the	DET
fcis-17466	172	50	"	"	PUNCT
fcis-17466	172	51	low	low	ADJ
fcis-17466	172	52	risk	risk	NOUN
fcis-17466	172	53	"	"	PUNCT
fcis-17466	172	54	category	category	NOUN
fcis-17466	172	55	,	,	PUNCT
fcis-17466	172	56	the	the	DET
fcis-17466	172	57	average	average	ADJ
fcis-17466	172	58	growth	growth	NOUN
fcis-17466	172	59	rate	rate	NOUN
fcis-17466	172	60	is	be	AUX
fcis-17466	172	61	-0.0032	-0.0032	NUM
fcis-17466	172	62	,	,	PUNCT
fcis-17466	172	63	the	the	DET
fcis-17466	172	64	median	median	NOUN
fcis-17466	172	65	is	be	AUX
fcis-17466	172	66	0.0001	0.0001	NUM
fcis-17466	172	67	,	,	PUNCT
fcis-17466	172	68	the	the	DET
fcis-17466	172	69	maximum	maximum	NOUN
fcis-17466	172	70	is	be	AUX
fcis-17466	172	71	0.0108	0.0108	NUM
fcis-17466	172	72	,	,	PUNCT
fcis-17466	172	73	and	and	CCONJ
fcis-17466	172	74	the	the	DET
fcis-17466	172	75	minimum	minimum	NOUN
fcis-17466	172	76	is	be	AUX
fcis-17466	172	77	-0.0544	-0.0544	ADJ
fcis-17466	172	78	.	.	PUNCT
fcis-17466	173	1	the	the	DET
fcis-17466	173	2	growth	growth	NOUN
fcis-17466	173	3	rate	rate	NOUN
fcis-17466	173	4	is	be	AUX
fcis-17466	173	5	about	about	ADP
fcis-17466	173	6	-0.3	-0.3	PUNCT
fcis-17466	173	7	%	%	NOUN
fcis-17466	173	8	,	,	PUNCT
fcis-17466	173	9	which	which	PRON
fcis-17466	173	10	is	be	AUX
fcis-17466	173	11	considered	consider	VERB
fcis-17466	173	12	in	in	ADP
fcis-17466	173	13	line	line	NOUN
fcis-17466	173	14	with	with	ADP
fcis-17466	173	15	sustainable	sustainable	ADJ
fcis-17466	173	16	development	development	NOUN
fcis-17466	173	17	principles	principle	NOUN
fcis-17466	173	18	,	,	PUNCT
fcis-17466	173	19	thus	thus	ADV
fcis-17466	173	20	warranting	warrant	VERB
fcis-17466	173	21	a	a	DET
fcis-17466	173	22	level	level	NOUN
fcis-17466	173	23	one	one	NUM
fcis-17466	173	24	warning	warning	NOUN
fcis-17466	173	25	.	.	PUNCT
fcis-17466	174	1	in	in	ADP
fcis-17466	174	2	the	the	DET
fcis-17466	174	3	"	"	PUNCT
fcis-17466	174	4	medium	medium	ADJ
fcis-17466	174	5	risk	risk	NOUN
fcis-17466	174	6	"	"	PUNCT
fcis-17466	174	7	category	category	NOUN
fcis-17466	174	8	,	,	PUNCT
fcis-17466	174	9	the	the	DET
fcis-17466	174	10	growth	growth	NOUN
fcis-17466	174	11	rate	rate	NOUN
fcis-17466	174	12	average	average	NOUN
fcis-17466	174	13	is	be	AUX
fcis-17466	174	14	0.0233	0.0233	NUM
fcis-17466	174	15	,	,	PUNCT
fcis-17466	174	16	the	the	DET
fcis-17466	174	17	median	median	NOUN
fcis-17466	174	18	is	be	AUX
fcis-17466	174	19	0.0222	0.0222	NUM
fcis-17466	174	20	,	,	PUNCT
fcis-17466	174	21	the	the	DET
fcis-17466	174	22	maximum	maximum	NOUN
fcis-17466	174	23	is	be	AUX
fcis-17466	174	24	0.0342	0.0342	NUM
fcis-17466	174	25	,	,	PUNCT
fcis-17466	174	26	and	and	CCONJ
fcis-17466	174	27	the	the	DET
fcis-17466	174	28	minimum	minimum	NOUN
fcis-17466	174	29	is	be	AUX
fcis-17466	174	30	0.0123	0.0123	NUM
fcis-17466	174	31	.	.	PUNCT
fcis-17466	175	1	at	at	ADP
fcis-17466	175	2	this	this	DET
fcis-17466	175	3	point	point	NOUN
fcis-17466	175	4	,	,	PUNCT
fcis-17466	175	5	the	the	DET
fcis-17466	175	6	co2	co2	NOUN
fcis-17466	175	7	emission	emission	NOUN
fcis-17466	175	8	growth	growth	NOUN
fcis-17466	175	9	rate	rate	NOUN
fcis-17466	175	10	is	be	AUX
fcis-17466	175	11	relatively	relatively	ADV
fcis-17466	175	12	high	high	ADJ
fcis-17466	175	13	at	at	ADP
fcis-17466	175	14	approximately	approximately	ADV
fcis-17466	175	15	2.33	2.33	NUM
fcis-17466	175	16	%	%	NOUN
fcis-17466	175	17	,	,	PUNCT
fcis-17466	175	18	which	which	PRON
fcis-17466	175	19	is	be	AUX
fcis-17466	175	20	not	not	PART
fcis-17466	175	21	deemed	deem	VERB
fcis-17466	175	22	sustainable	sustainable	ADJ
fcis-17466	175	23	,	,	PUNCT
fcis-17466	175	24	necessitating	necessitate	VERB
fcis-17466	175	25	a	a	DET
fcis-17466	175	26	level	level	NOUN
fcis-17466	175	27	two	two	NUM
fcis-17466	175	28	warning	warning	NOUN
fcis-17466	175	29	.	.	PUNCT
fcis-17466	176	1	in	in	ADP
fcis-17466	176	2	the	the	DET
fcis-17466	176	3	"	"	PUNCT
fcis-17466	176	4	high	high	ADJ
fcis-17466	176	5	risk	risk	NOUN
fcis-17466	176	6	"	"	PUNCT
fcis-17466	176	7	category	category	NOUN
fcis-17466	176	8	,	,	PUNCT
fcis-17466	176	9	the	the	DET
fcis-17466	176	10	growth	growth	NOUN
fcis-17466	176	11	rate	rate	NOUN
fcis-17466	176	12	average	average	NOUN
fcis-17466	176	13	is	be	AUX
fcis-17466	176	14	0.0524	0.0524	NUM
fcis-17466	176	15	,	,	PUNCT
fcis-17466	176	16	the	the	DET
fcis-17466	176	17	median	median	NOUN
fcis-17466	176	18	is	be	AUX
fcis-17466	176	19	0.0531	0.0531	NUM
fcis-17466	176	20	,	,	PUNCT
fcis-17466	176	21	the	the	DET
fcis-17466	176	22	maximum	maximum	NOUN
fcis-17466	176	23	is	be	AUX
fcis-17466	176	24	0.0622	0.0622	NUM
fcis-17466	176	25	,	,	PUNCT
fcis-17466	176	26	and	and	CCONJ
fcis-17466	176	27	the	the	DET
fcis-17466	176	28	minimum	minimum	NOUN
fcis-17466	176	29	is	be	AUX
fcis-17466	176	30	0.0394	0.0394	NUM
fcis-17466	176	31	.	.	PUNCT
fcis-17466	177	1	the	the	DET
fcis-17466	177	2	co2	co2	NOUN
fcis-17466	177	3	emissions	emission	NOUN
fcis-17466	177	4	have	have	AUX
fcis-17466	177	5	reached	reach	VERB
fcis-17466	177	6	an	an	DET
fcis-17466	177	7	alarming	alarming	ADJ
fcis-17466	177	8	level	level	NOUN
fcis-17466	177	9	of	of	ADP
fcis-17466	177	10	around	around	ADP
fcis-17466	177	11	5.31	5.31	NUM
fcis-17466	177	12	%	%	NOUN
fcis-17466	177	13	,	,	PUNCT
fcis-17466	177	14	indicating	indicate	VERB
fcis-17466	177	15	the	the	DET
fcis-17466	177	16	need	need	NOUN
fcis-17466	177	17	for	for	ADP
fcis-17466	177	18	a	a	DET
fcis-17466	177	19	level	level	NOUN
fcis-17466	177	20	three	three	NUM
fcis-17466	177	21	warning	warning	NOUN
fcis-17466	177	22	and	and	CCONJ
fcis-17466	177	23	an	an	DET
fcis-17466	177	24	intensification	intensification	NOUN
fcis-17466	177	25	of	of	ADP
fcis-17466	177	26	energy	energy	NOUN
fcis-17466	177	27	policy	policy	NOUN
fcis-17466	177	28	refinement	refinement	NOUN
fcis-17466	177	29	and	and	CCONJ
fcis-17466	177	30	regulation	regulation	NOUN
fcis-17466	177	31	.	.	PUNCT
fcis-17466	178	1	similarly	similarly	ADV
fcis-17466	178	2	,	,	PUNCT
fcis-17466	178	3	we	we	PRON
fcis-17466	178	4	performed	perform	VERB
fcis-17466	178	5	a	a	DET
fcis-17466	178	6	data	data	NOUN
fcis-17466	178	7	pivot	pivot	NOUN
fcis-17466	178	8	for	for	ADP
fcis-17466	178	9	the	the	DET
fcis-17466	178	10	growth	growth	NOUN
fcis-17466	178	11	rates	rate	NOUN
fcis-17466	178	12	of	of	ADP
fcis-17466	178	13	various	various	ADJ
fcis-17466	178	14	energy	energy	NOUN
fcis-17466	178	15	consumptions	consumption	NOUN
fcis-17466	178	16	,	,	PUNCT
fcis-17466	178	17	as	as	SCONJ
fcis-17466	178	18	shown	show	VERB
fcis-17466	178	19	in	in	ADP
fcis-17466	178	20	table	table	NOUN
fcis-17466	178	21	3	3	NUM
fcis-17466	178	22	.	.	PUNCT
fcis-17466	179	1	according	accord	VERB
fcis-17466	179	2	to	to	ADP
fcis-17466	179	3	table	table	NOUN
fcis-17466	179	4	3	3	NUM
fcis-17466	179	5	,	,	PUNCT
fcis-17466	179	6	the	the	DET
fcis-17466	179	7	growth	growth	NOUN
fcis-17466	179	8	rate	rate	NOUN
fcis-17466	179	9	of	of	ADP
fcis-17466	179	10	energy	energy	NOUN
fcis-17466	179	11	consumption	consumption	NOUN
fcis-17466	179	12	increases	increase	VERB
fcis-17466	179	13	from	from	ADP
fcis-17466	179	14	the	the	DET
fcis-17466	179	15	"	"	PUNCT
fcis-17466	179	16	low	low	ADJ
fcis-17466	179	17	risk	risk	NOUN
fcis-17466	179	18	"	"	PUNCT
fcis-17466	179	19	to	to	ADP
fcis-17466	179	20	"	"	PUNCT
fcis-17466	179	21	high	high	ADJ
fcis-17466	179	22	risk	risk	NOUN
fcis-17466	179	23	"	"	PUNCT
fcis-17466	179	24	safety	safety	NOUN
fcis-17466	179	25	warning	warning	NOUN
fcis-17466	179	26	levels	level	NOUN
fcis-17466	179	27	,	,	PUNCT
fcis-17466	179	28	suggesting	suggest	VERB
fcis-17466	179	29	that	that	SCONJ
fcis-17466	179	30	the	the	DET
fcis-17466	179	31	energy	energy	NOUN
fcis-17466	179	32	consumption	consumption	NOUN
fcis-17466	179	33	growth	growth	NOUN
fcis-17466	179	34	rate	rate	NOUN
fcis-17466	179	35	has	have	VERB
fcis-17466	179	36	a	a	DET
fcis-17466	179	37	significant	significant	ADJ
fcis-17466	179	38	impact	impact	NOUN
fcis-17466	179	39	on	on	ADP
fcis-17466	179	40	the	the	DET
fcis-17466	179	41	tiered	tiered	ADJ
fcis-17466	179	42	safety	safety	NOUN
fcis-17466	179	43	warnings	warning	NOUN
fcis-17466	179	44	.	.	PUNCT
fcis-17466	180	1	table	table	NOUN
fcis-17466	180	2	3	3	NUM
fcis-17466	180	3	.	.	PUNCT
fcis-17466	180	4	average	average	ADJ
fcis-17466	180	5	growth	growth	NOUN
fcis-17466	180	6	rate	rate	NOUN
fcis-17466	180	7	of	of	ADP
fcis-17466	180	8	energy	energy	NOUN
fcis-17466	180	9	consumption	consumption	NOUN
fcis-17466	180	10	by	by	ADP
fcis-17466	180	11	warning	warn	VERB
fcis-17466	180	12	category	category	NOUN
fcis-17466	180	13	warning	warning	NOUN
fcis-17466	180	14	level	level	NOUN
fcis-17466	180	15	variable	variable	NOUN
fcis-17466	180	16	c	c	NOUN
fcis-17466	180	17	growth	growth	NOUN
fcis-17466	180	18	variable	variable	ADJ
fcis-17466	180	19	o	o	NOUN
fcis-17466	180	20	growth	growth	NOUN
fcis-17466	180	21	variable	variable	NOUN
fcis-17466	180	22	g	g	PROPN
fcis-17466	180	23	growth	growth	NOUN
fcis-17466	180	24	variable	variable	NOUN
fcis-17466	180	25	e	e	NOUN
fcis-17466	180	26	growth	growth	NOUN
fcis-17466	180	27	variable	variable	NOUN
fcis-17466	180	28	b	b	PROPN
fcis-17466	180	29	growth	growth	NOUN
fcis-17466	180	30	level	level	NOUN
fcis-17466	180	31	one	one	NUM
fcis-17466	180	32	-0.0055	-0.0055	NOUN
fcis-17466	180	33	-0.0010	-0.0010	NOUN
fcis-17466	181	1	0.0074	0.0074	NUM
fcis-17466	181	2	0.0197	0.0197	NUM
fcis-17466	181	3	0.0782	0.0782	NUM
fcis-17466	181	4	level	level	NOUN
fcis-17466	181	5	two	two	NUM
fcis-17466	182	1	0.0284	0.0284	NUM
fcis-17466	182	2	0.0162	0.0162	NUM
fcis-17466	182	3	0.0339	0.0339	NUM
fcis-17466	182	4	0.0349	0.0349	NUM
fcis-17466	182	5	0.0941	0.0941	NUM
fcis-17466	182	6	level	level	NOUN
fcis-17466	182	7	three	three	NUM
fcis-17466	182	8	0.0664	0.0664	NUM
fcis-17466	182	9	0.0310	0.0310	NUM
fcis-17466	182	10	0.0533	0.0533	NUM
fcis-17466	182	11	0.0529	0.0529	NUM
fcis-17466	182	12	0.2041	0.2041	NUM
fcis-17466	182	13	4.2.2	4.2.2	NUM
fcis-17466	182	14	.	.	PUNCT
fcis-17466	183	1	construction	construction	NOUN
fcis-17466	183	2	of	of	ADP
fcis-17466	183	3	the	the	DET
fcis-17466	183	4	early	early	ADJ
fcis-17466	183	5	warning	warning	NOUN
fcis-17466	183	6	system	system	NOUN
fcis-17466	183	7	based	base	VERB
fcis-17466	183	8	on	on	ADP
fcis-17466	183	9	the	the	DET
fcis-17466	183	10	svm	svm	ADJ
fcis-17466	183	11	-	-	ADJ
fcis-17466	183	12	rf	rf	ADJ
fcis-17466	183	13	model	model	NOUN
fcis-17466	183	14	after	after	ADP
fcis-17466	183	15	completing	complete	VERB
fcis-17466	183	16	the	the	DET
fcis-17466	183	17	construction	construction	NOUN
fcis-17466	183	18	of	of	ADP
fcis-17466	183	19	the	the	DET
fcis-17466	183	20	three	three	NUM
fcis-17466	183	21	-	-	PUNCT
fcis-17466	183	22	tiered	tiere	VERB
fcis-17466	183	23	safety	safety	NOUN
fcis-17466	183	24	warning	warning	NOUN
fcis-17466	183	25	indicators	indicator	NOUN
fcis-17466	183	26	,	,	PUNCT
fcis-17466	183	27	and	and	CCONJ
fcis-17466	183	28	considering	consider	VERB
fcis-17466	183	29	a	a	DET
fcis-17466	183	30	potential	potential	ADJ
fcis-17466	183	31	connection	connection	NOUN
fcis-17466	183	32	between	between	ADP
fcis-17466	183	33	energy	energy	NOUN
fcis-17466	183	34	consumption	consumption	NOUN
fcis-17466	183	35	growth	growth	NOUN
fcis-17466	183	36	rates	rate	NOUN
fcis-17466	183	37	and	and	CCONJ
fcis-17466	183	38	warning	warning	NOUN
fcis-17466	183	39	levels	level	NOUN
fcis-17466	183	40	,	,	PUNCT
fcis-17466	183	41	we	we	PRON
fcis-17466	183	42	established	establish	VERB
fcis-17466	183	43	the	the	DET
fcis-17466	183	44	svm	svm	ADJ
fcis-17466	183	45	-	-	ADJ
fcis-17466	183	46	rf	rf	ADJ
fcis-17466	183	47	model	model	NOUN
fcis-17466	183	48	for	for	ADP
fcis-17466	183	49	predicting	predict	VERB
fcis-17466	183	50	warning	warning	NOUN
fcis-17466	183	51	levels	level	NOUN
fcis-17466	183	52	.	.	PUNCT
fcis-17466	184	1	by	by	ADP
fcis-17466	184	2	randomly	randomly	ADV
fcis-17466	184	3	shuffling	shuffle	VERB
fcis-17466	184	4	the	the	DET
fcis-17466	184	5	original	original	ADJ
fcis-17466	184	6	data	datum	NOUN
fcis-17466	184	7	and	and	CCONJ
fcis-17466	184	8	setting	set	VERB
fcis-17466	184	9	the	the	DET
fcis-17466	184	10	training	training	NOUN
fcis-17466	184	11	,	,	PUNCT
fcis-17466	184	12	validation	validation	NOUN
fcis-17466	184	13	,	,	PUNCT
fcis-17466	184	14	and	and	CCONJ
fcis-17466	184	15	test	test	NOUN
fcis-17466	184	16	set	set	VERB
fcis-17466	184	17	ratios	ratio	NOUN
fcis-17466	184	18	to	to	ADP
fcis-17466	184	19	8:1:1	8:1:1	NUM
fcis-17466	184	20	,	,	PUNCT
fcis-17466	184	21	we	we	PRON
fcis-17466	184	22	conducted	conduct	VERB
fcis-17466	184	23	multiple	multiple	ADJ
fcis-17466	184	24	training	training	NOUN
fcis-17466	184	25	sessions	session	NOUN
fcis-17466	184	26	to	to	PART
fcis-17466	184	27	find	find	VERB
fcis-17466	184	28	the	the	DET
fcis-17466	184	29	most	most	ADV
fcis-17466	184	30	effective	effective	ADJ
fcis-17466	184	31	svm	svm	ADJ
fcis-17466	184	32	-	-	ADJ
fcis-17466	184	33	rf	rf	ADJ
fcis-17466	184	34	classification	classification	NOUN
fcis-17466	184	35	predictor	predictor	NOUN
fcis-17466	184	36	.	.	PUNCT
fcis-17466	185	1	figure	figure	NOUN
fcis-17466	185	2	5	5	NUM
fcis-17466	185	3	showcases	showcase	VERB
fcis-17466	185	4	the	the	DET
fcis-17466	185	5	confusion	confusion	NOUN
fcis-17466	185	6	matrices	matrix	NOUN
fcis-17466	185	7	for	for	ADP
fcis-17466	185	8	the	the	DET
fcis-17466	185	9	training	training	NOUN
fcis-17466	185	10	and	and	CCONJ
fcis-17466	185	11	test	test	NOUN
fcis-17466	185	12	sets	set	NOUN
fcis-17466	185	13	of	of	ADP
fcis-17466	185	14	the	the	DET
fcis-17466	185	15	best	good	ADJ
fcis-17466	185	16	classifier	classifier	NOUN
fcis-17466	185	17	.	.	PUNCT
fcis-17466	186	1	figure	figure	NOUN
fcis-17466	186	2	5	5	NUM
fcis-17466	186	3	.	.	PUNCT
fcis-17466	186	4	confusion	confusion	NOUN
fcis-17466	186	5	matrix	matrix	NOUN
fcis-17466	186	6	of	of	ADP
fcis-17466	186	7	the	the	DET
fcis-17466	186	8	training	training	NOUN
fcis-17466	186	9	set	set	NOUN
fcis-17466	186	10	(	(	PUNCT
fcis-17466	186	11	left	left	ADJ
fcis-17466	186	12	)	)	PUNCT
fcis-17466	186	13	and	and	CCONJ
fcis-17466	186	14	test	test	NOUN
fcis-17466	186	15	set	set	VERB
fcis-17466	186	16	(	(	PUNCT
fcis-17466	186	17	right	right	ADJ
fcis-17466	186	18	)	)	PUNCT
fcis-17466	186	19	17	17	NUM
fcis-17466	186	20	at	at	ADP
fcis-17466	186	21	present	present	ADJ
fcis-17466	186	22	,	,	PUNCT
fcis-17466	186	23	the	the	DET
fcis-17466	186	24	model	model	NOUN
fcis-17466	186	25	's	's	PART
fcis-17466	186	26	accuracy	accuracy	NOUN
fcis-17466	186	27	for	for	ADP
fcis-17466	186	28	the	the	DET
fcis-17466	186	29	training	training	NOUN
fcis-17466	186	30	,	,	PUNCT
fcis-17466	186	31	validation	validation	NOUN
fcis-17466	186	32	,	,	PUNCT
fcis-17466	186	33	and	and	CCONJ
fcis-17466	186	34	test	test	NOUN
fcis-17466	186	35	sets	set	NOUN
fcis-17466	186	36	is	be	AUX
fcis-17466	186	37	100	100	NUM
fcis-17466	186	38	%	%	NOUN
fcis-17466	186	39	,	,	PUNCT
fcis-17466	186	40	demonstrating	demonstrate	VERB
fcis-17466	186	41	strong	strong	ADJ
fcis-17466	186	42	predictive	predictive	ADJ
fcis-17466	186	43	performance	performance	NOUN
fcis-17466	186	44	suitable	suitable	ADJ
fcis-17466	186	45	for	for	ADP
fcis-17466	186	46	classification	classification	NOUN
fcis-17466	186	47	predictions	prediction	NOUN
fcis-17466	186	48	.	.	PUNCT
fcis-17466	187	1	using	use	VERB
fcis-17466	187	2	the	the	DET
fcis-17466	187	3	bilstm	bilstm	NOUN
fcis-17466	187	4	model	model	NOUN
fcis-17466	187	5	,	,	PUNCT
fcis-17466	187	6	we	we	PRON
fcis-17466	187	7	predicted	predict	VERB
fcis-17466	187	8	the	the	DET
fcis-17466	187	9	growth	growth	NOUN
fcis-17466	187	10	rates	rate	NOUN
fcis-17466	187	11	of	of	ADP
fcis-17466	187	12	five	five	NUM
fcis-17466	187	13	energy	energy	NOUN
fcis-17466	187	14	consumptions	consumption	NOUN
fcis-17466	187	15	for	for	ADP
fcis-17466	187	16	2022	2022	NUM
fcis-17466	187	17	-	-	SYM
fcis-17466	187	18	2031	2031	NUM
fcis-17466	187	19	and	and	CCONJ
fcis-17466	187	20	entered	enter	VERB
fcis-17466	187	21	the	the	DET
fcis-17466	187	22	values	value	NOUN
fcis-17466	187	23	into	into	ADP
fcis-17466	187	24	the	the	DET
fcis-17466	187	25	trained	train	VERB
fcis-17466	187	26	model	model	NOUN
fcis-17466	187	27	,	,	PUNCT
fcis-17466	187	28	obtaining	obtain	VERB
fcis-17466	187	29	the	the	DET
fcis-17466	187	30	three	three	NUM
fcis-17466	187	31	-	-	PUNCT
fcis-17466	187	32	tiered	tiere	VERB
fcis-17466	187	33	safety	safety	NOUN
fcis-17466	187	34	warning	warning	NOUN
fcis-17466	187	35	levels	level	NOUN
fcis-17466	187	36	,	,	PUNCT
fcis-17466	187	37	as	as	SCONJ
fcis-17466	187	38	shown	show	VERB
fcis-17466	187	39	in	in	ADP
fcis-17466	187	40	table	table	NOUN
fcis-17466	187	41	4	4	NUM
fcis-17466	187	42	.	.	PUNCT
fcis-17466	187	43	from	from	ADP
fcis-17466	187	44	table	table	NOUN
fcis-17466	187	45	4	4	NUM
fcis-17466	187	46	,	,	PUNCT
fcis-17466	187	47	it	it	PRON
fcis-17466	187	48	is	be	AUX
fcis-17466	187	49	evident	evident	ADJ
fcis-17466	187	50	that	that	SCONJ
fcis-17466	187	51	between	between	ADP
fcis-17466	187	52	2022	2022	NUM
fcis-17466	187	53	-	-	SYM
fcis-17466	187	54	2031	2031	NUM
fcis-17466	187	55	,	,	PUNCT
fcis-17466	187	56	there	there	PRON
fcis-17466	187	57	were	be	VERB
fcis-17466	187	58	five	five	NUM
fcis-17466	187	59	instances	instance	NOUN
fcis-17466	187	60	of	of	ADP
fcis-17466	187	61	"	"	PUNCT
fcis-17466	187	62	low	low	ADJ
fcis-17466	187	63	risk	risk	NOUN
fcis-17466	187	64	,	,	PUNCT
fcis-17466	187	65	"	"	PUNCT
fcis-17466	187	66	signifying	signify	VERB
fcis-17466	187	67	compliance	compliance	NOUN
fcis-17466	187	68	with	with	ADP
fcis-17466	187	69	sustainable	sustainable	ADJ
fcis-17466	187	70	development	development	NOUN
fcis-17466	187	71	principles	principle	NOUN
fcis-17466	187	72	and	and	CCONJ
fcis-17466	187	73	triggering	trigger	VERB
fcis-17466	187	74	a	a	DET
fcis-17466	187	75	level	level	NOUN
fcis-17466	187	76	one	one	NUM
fcis-17466	187	77	warning	warning	NOUN
fcis-17466	187	78	.	.	PUNCT
fcis-17466	188	1	there	there	PRON
fcis-17466	188	2	also	also	ADV
fcis-17466	188	3	were	be	AUX
fcis-17466	188	4	five	five	NUM
fcis-17466	188	5	occurrences	occurrence	NOUN
fcis-17466	188	6	of	of	ADP
fcis-17466	188	7	"	"	PUNCT
fcis-17466	188	8	medium	medium	ADJ
fcis-17466	188	9	risk	risk	NOUN
fcis-17466	188	10	,	,	PUNCT
fcis-17466	188	11	"	"	PUNCT
fcis-17466	188	12	warranting	warrant	VERB
fcis-17466	188	13	a	a	DET
fcis-17466	188	14	level	level	NOUN
fcis-17466	188	15	two	two	NUM
fcis-17466	188	16	warning	warning	NOUN
fcis-17466	188	17	.	.	PUNCT
fcis-17466	189	1	hence	hence	ADV
fcis-17466	189	2	,	,	PUNCT
fcis-17466	189	3	it	it	PRON
fcis-17466	189	4	is	be	AUX
fcis-17466	189	5	imperative	imperative	ADJ
fcis-17466	189	6	to	to	PART
fcis-17466	189	7	strengthen	strengthen	VERB
fcis-17466	189	8	regulatory	regulatory	ADJ
fcis-17466	189	9	measures	measure	NOUN
fcis-17466	189	10	during	during	ADP
fcis-17466	189	11	those	those	DET
fcis-17466	189	12	years	year	NOUN
fcis-17466	189	13	and	and	CCONJ
fcis-17466	189	14	strictly	strictly	ADV
fcis-17466	189	15	control	control	VERB
fcis-17466	189	16	the	the	DET
fcis-17466	189	17	growth	growth	NOUN
fcis-17466	189	18	rate	rate	NOUN
fcis-17466	189	19	of	of	ADP
fcis-17466	189	20	energy	energy	NOUN
fcis-17466	189	21	consumption	consumption	NOUN
fcis-17466	189	22	to	to	PART
fcis-17466	189	23	downgrade	downgrade	VERB
fcis-17466	189	24	the	the	DET
fcis-17466	189	25	warning	warning	NOUN
fcis-17466	189	26	from	from	ADP
fcis-17466	189	27	level	level	NOUN
fcis-17466	189	28	two	two	NUM
fcis-17466	189	29	to	to	PART
fcis-17466	189	30	level	level	VERB
fcis-17466	189	31	one	one	NUM
fcis-17466	189	32	.	.	PUNCT
fcis-17466	190	1	by	by	ADP
fcis-17466	190	2	predicting	predict	VERB
fcis-17466	190	3	the	the	DET
fcis-17466	190	4	warning	warning	NOUN
fcis-17466	190	5	levels	level	NOUN
fcis-17466	190	6	for	for	ADP
fcis-17466	190	7	the	the	DET
fcis-17466	190	8	next	next	ADJ
fcis-17466	190	9	decade	decade	NOUN
fcis-17466	190	10	,	,	PUNCT
fcis-17466	190	11	we	we	PRON
fcis-17466	190	12	can	can	AUX
fcis-17466	190	13	take	take	VERB
fcis-17466	190	14	necessary	necessary	ADJ
fcis-17466	190	15	measures	measure	NOUN
fcis-17466	190	16	when	when	SCONJ
fcis-17466	190	17	the	the	DET
fcis-17466	190	18	warning	warning	NOUN
fcis-17466	190	19	level	level	NOUN
fcis-17466	190	20	is	be	AUX
fcis-17466	190	21	at	at	ADP
fcis-17466	190	22	two	two	NUM
fcis-17466	190	23	or	or	CCONJ
fcis-17466	190	24	even	even	ADV
fcis-17466	190	25	three	three	NUM
fcis-17466	190	26	to	to	PART
fcis-17466	190	27	prevent	prevent	VERB
fcis-17466	190	28	mass	mass	ADJ
fcis-17466	190	29	co2	co2	NOUN
fcis-17466	190	30	emissions	emission	NOUN
fcis-17466	190	31	and	and	CCONJ
fcis-17466	190	32	further	far	ADV
fcis-17466	190	33	exacerbate	exacerbate	VERB
fcis-17466	190	34	climate	climate	NOUN
fcis-17466	190	35	deterioration	deterioration	NOUN
fcis-17466	190	36	.	.	PUNCT
fcis-17466	191	1	table	table	NOUN
fcis-17466	191	2	4	4	NUM
fcis-17466	191	3	.	.	PUNCT
fcis-17466	192	1	predictions	prediction	NOUN
fcis-17466	192	2	of	of	ADP
fcis-17466	192	3	energy	energy	NOUN
fcis-17466	192	4	consumption	consumption	NOUN
fcis-17466	192	5	growth	growth	NOUN
fcis-17466	192	6	rates	rate	NOUN
fcis-17466	192	7	based	base	VERB
fcis-17466	192	8	on	on	ADP
fcis-17466	192	9	the	the	DET
fcis-17466	192	10	bilstm	bilstm	NOUN
fcis-17466	192	11	model	model	NOUN
fcis-17466	192	12	year	year	NOUN
fcis-17466	192	13	variable	variable	NOUN
fcis-17466	192	14	c	c	PROPN
fcis-17466	192	15	growth	growth	NOUN
fcis-17466	192	16	variable	variable	ADJ
fcis-17466	192	17	o	o	NOUN
fcis-17466	192	18	growth	growth	NOUN
fcis-17466	192	19	variable	variable	NOUN
fcis-17466	192	20	g	g	PROPN
fcis-17466	192	21	growth	growth	NOUN
fcis-17466	192	22	variable	variable	NOUN
fcis-17466	192	23	e	e	NOUN
fcis-17466	192	24	growth	growth	NOUN
fcis-17466	192	25	variable	variable	NOUN
fcis-17466	192	26	b	b	PROPN
fcis-17466	192	27	growth	growth	NOUN
fcis-17466	192	28	warning	warning	NOUN
fcis-17466	192	29	level	level	NOUN
fcis-17466	192	30	2022	2022	NUM
fcis-17466	192	31	0.0164	0.0164	NUM
fcis-17466	192	32	0.0138	0.0138	NUM
fcis-17466	192	33	0.0062	0.0062	NUM
fcis-17466	192	34	0.0359	0.0359	NUM
fcis-17466	192	35	0.0366	0.0366	NUM
fcis-17466	192	36	level	level	NOUN
fcis-17466	192	37	two	two	NUM
fcis-17466	192	38	2023	2023	NUM
fcis-17466	192	39	-0.0073	-0.0073	NOUN
fcis-17466	193	1	0.0139	0.0139	NUM
fcis-17466	193	2	0.0352	0.0352	NUM
fcis-17466	193	3	0.0217	0.0217	NUM
fcis-17466	193	4	0.0830	0.0830	NUM
fcis-17466	193	5	level	level	NOUN
fcis-17466	193	6	one	one	NUM
fcis-17466	193	7	2024	2024	NUM
fcis-17466	193	8	-0.0086	-0.0086	NOUN
fcis-17466	193	9	0.0169	0.0169	NUM
fcis-17466	193	10	0.0056	0.0056	NUM
fcis-17466	193	11	0.0272	0.0272	NUM
fcis-17466	193	12	0.0674	0.0674	NUM
fcis-17466	193	13	level	level	NOUN
fcis-17466	193	14	one	one	NUM
fcis-17466	193	15	2025	2025	NUM
fcis-17466	193	16	-0.0123	-0.0123	NOUN
fcis-17466	193	17	0.0194	0.0194	NUM
fcis-17466	194	1	0.0138	0.0138	NUM
fcis-17466	194	2	0.0310	0.0310	NUM
fcis-17466	194	3	0.0535	0.0535	NUM
fcis-17466	194	4	level	level	NOUN
fcis-17466	194	5	one	one	NUM
fcis-17466	194	6	2026	2026	NUM
fcis-17466	194	7	0.0004	0.0004	NUM
fcis-17466	194	8	0.0160	0.0160	NUM
fcis-17466	194	9	0.0323	0.0323	NUM
fcis-17466	194	10	0.0334	0.0334	NUM
fcis-17466	194	11	0.0217	0.0217	NUM
fcis-17466	194	12	level	level	NOUN
fcis-17466	194	13	two	two	NUM
fcis-17466	194	14	2027	2027	NUM
fcis-17466	194	15	0.0141	0.0141	NUM
fcis-17466	194	16	0.0171	0.0171	NUM
fcis-17466	194	17	0.0354	0.0354	NUM
fcis-17466	194	18	0.0314	0.0314	NUM
fcis-17466	194	19	-0.0013	-0.0013	ADJ
fcis-17466	194	20	level	level	NOUN
fcis-17466	194	21	two	two	NUM
fcis-17466	194	22	2028	2028	NUM
fcis-17466	194	23	0.0099	0.0099	NUM
fcis-17466	194	24	0.0093	0.0093	NUM
fcis-17466	194	25	0.0283	0.0283	NUM
fcis-17466	194	26	0.0258	0.0258	NUM
fcis-17466	194	27	0.0775	0.0775	NUM
fcis-17466	194	28	level	level	NOUN
fcis-17466	194	29	two	two	NUM
fcis-17466	194	30	2029	2029	NUM
fcis-17466	194	31	0.0076	0.0076	NUM
fcis-17466	194	32	0.0061	0.0061	NUM
fcis-17466	194	33	0.0127	0.0127	NUM
fcis-17466	194	34	0.0200	0.0200	NUM
fcis-17466	194	35	0.0571	0.0571	NUM
fcis-17466	194	36	level	level	NOUN
fcis-17466	194	37	one	one	NUM
fcis-17466	194	38	2030	2030	NUM
fcis-17466	194	39	-0.0011	-0.0011	X
fcis-17466	194	40	-0.0067	-0.0067	NOUN
fcis-17466	194	41	0.0197	0.0197	NUM
fcis-17466	194	42	0.0365	0.0365	NUM
fcis-17466	194	43	-0.0609	-0.0609	NOUN
fcis-17466	194	44	level	level	NOUN
fcis-17466	194	45	one	one	NUM
fcis-17466	194	46	2031	2031	NUM
fcis-17466	194	47	0.0534	0.0534	NUM
fcis-17466	194	48	0.0179	0.0179	NUM
fcis-17466	194	49	0.0268	0.0268	NUM
fcis-17466	194	50	0.0395	0.0395	NUM
fcis-17466	194	51	0.0904	0.0904	NUM
fcis-17466	194	52	level	level	NOUN
fcis-17466	194	53	two	two	NUM
fcis-17466	194	54	4.3	4.3	NUM
fcis-17466	194	55	.	.	PUNCT
fcis-17466	195	1	data	datum	NOUN
fcis-17466	195	2	and	and	CCONJ
fcis-17466	195	3	model	model	NOUN
fcis-17466	195	4	robustness	robustness	NOUN
fcis-17466	195	5	verification	verification	NOUN
fcis-17466	195	6	4.3.1	4.3.1	NUM
fcis-17466	195	7	.	.	PUNCT
fcis-17466	196	1	stationarity	stationarity	NOUN
fcis-17466	196	2	test	test	NOUN
fcis-17466	196	3	of	of	ADP
fcis-17466	196	4	data	datum	NOUN
fcis-17466	196	5	in	in	ADP
fcis-17466	196	6	this	this	DET
fcis-17466	196	7	study	study	NOUN
fcis-17466	196	8	,	,	PUNCT
fcis-17466	196	9	time	time	NOUN
fcis-17466	196	10	series	series	PROPN
fcis-17466	196	11	forecasting	forecasting	NOUN
fcis-17466	196	12	has	have	AUX
fcis-17466	196	13	been	be	AUX
fcis-17466	196	14	extensively	extensively	ADV
fcis-17466	196	15	applied	apply	VERB
fcis-17466	196	16	for	for	ADP
fcis-17466	196	17	projecting	project	VERB
fcis-17466	196	18	the	the	DET
fcis-17466	196	19	growth	growth	NOUN
fcis-17466	196	20	rates	rate	NOUN
fcis-17466	196	21	of	of	ADP
fcis-17466	196	22	variables	variable	NOUN
fcis-17466	196	23	,	,	PUNCT
fcis-17466	196	24	and	and	CCONJ
fcis-17466	196	25	neural	neural	ADJ
fcis-17466	196	26	network	network	NOUN
fcis-17466	196	27	models	model	NOUN
fcis-17466	196	28	such	such	ADJ
fcis-17466	196	29	as	as	ADP
fcis-17466	196	30	bilstm	bilstm	NOUN
fcis-17466	196	31	often	often	ADV
fcis-17466	196	32	depend	depend	VERB
fcis-17466	196	33	on	on	ADP
fcis-17466	196	34	data	datum	NOUN
fcis-17466	196	35	stationarity	stationarity	NOUN
fcis-17466	196	36	to	to	PART
fcis-17466	196	37	diminish	diminish	VERB
fcis-17466	196	38	forecasting	forecasting	NOUN
fcis-17466	196	39	errors	error	NOUN
fcis-17466	196	40	.	.	PUNCT
fcis-17466	197	1	the	the	DET
fcis-17466	197	2	presence	presence	NOUN
fcis-17466	197	3	of	of	ADP
fcis-17466	197	4	non	non	ADJ
fcis-17466	197	5	-	-	ADJ
fcis-17466	197	6	stationary	stationary	ADJ
fcis-17466	197	7	data	datum	NOUN
fcis-17466	197	8	can	can	AUX
fcis-17466	197	9	adversely	adversely	ADV
fcis-17466	197	10	affect	affect	VERB
fcis-17466	197	11	the	the	DET
fcis-17466	197	12	performance	performance	NOUN
fcis-17466	197	13	of	of	ADP
fcis-17466	197	14	models	model	NOUN
fcis-17466	197	15	;	;	PUNCT
fcis-17466	197	16	therefore	therefore	ADV
fcis-17466	197	17	,	,	PUNCT
fcis-17466	197	18	testing	test	VERB
fcis-17466	197	19	for	for	ADP
fcis-17466	197	20	data	datum	NOUN
fcis-17466	197	21	stationarity	stationarity	NOUN
fcis-17466	197	22	is	be	AUX
fcis-17466	197	23	particularly	particularly	ADV
fcis-17466	197	24	critical	critical	ADJ
fcis-17466	197	25	to	to	PART
fcis-17466	197	26	ensure	ensure	VERB
fcis-17466	197	27	the	the	DET
fcis-17466	197	28	reliability	reliability	NOUN
fcis-17466	197	29	and	and	CCONJ
fcis-17466	197	30	scientific	scientific	ADJ
fcis-17466	197	31	validity	validity	NOUN
fcis-17466	197	32	of	of	ADP
fcis-17466	197	33	this	this	DET
fcis-17466	197	34	research	research	NOUN
fcis-17466	197	35	.	.	PUNCT
fcis-17466	198	1	this	this	DET
fcis-17466	198	2	paper	paper	NOUN
fcis-17466	198	3	references	reference	VERB
fcis-17466	198	4	the	the	DET
fcis-17466	198	5	studies	study	NOUN
fcis-17466	198	6	of	of	ADP
fcis-17466	198	7	silva	silva	PROPN
fcis-17466	198	8	et	et	PROPN
fcis-17466	198	9	al	al	PROPN
fcis-17466	198	10	.	.	PROPN
fcis-17466	199	1	(	(	PUNCT
fcis-17466	199	2	2021	2021	NUM
fcis-17466	199	3	)	)	PUNCT
fcis-17466	199	4	and	and	CCONJ
fcis-17466	199	5	other	other	ADJ
fcis-17466	199	6	scholars	scholar	NOUN
fcis-17466	199	7	,	,	PUNCT
fcis-17466	199	8	who	who	PRON
fcis-17466	199	9	utilized	utilize	VERB
fcis-17466	199	10	the	the	DET
fcis-17466	199	11	augmented	augment	VERB
fcis-17466	199	12	dickey	dickey	NOUN
fcis-17466	199	13	-	-	PUNCT
fcis-17466	199	14	fuller	full	ADJ
fcis-17466	199	15	(	(	PUNCT
fcis-17466	199	16	adf	adf	NOUN
fcis-17466	199	17	)	)	PUNCT
fcis-17466	199	18	test	test	NOUN
fcis-17466	199	19	to	to	PART
fcis-17466	199	20	assess	assess	VERB
fcis-17466	199	21	data	datum	NOUN
fcis-17466	199	22	stationarity	stationarity	NOUN
fcis-17466	199	23	,	,	PUNCT
fcis-17466	199	24	thereby	thereby	ADV
fcis-17466	199	25	refining	refine	VERB
fcis-17466	199	26	the	the	DET
fcis-17466	199	27	prediction	prediction	NOUN
fcis-17466	199	28	errors	error	NOUN
fcis-17466	199	29	of	of	ADP
fcis-17466	199	30	arima	arima	PROPN
fcis-17466	199	31	and	and	CCONJ
fcis-17466	199	32	deep	deep	ADJ
fcis-17466	199	33	learning	learning	NOUN
fcis-17466	199	34	models	model	NOUN
fcis-17466	200	1	[	[	X
fcis-17466	200	2	27	27	NUM
fcis-17466	200	3	]	]	PUNCT
fcis-17466	200	4	.	.	PUNCT
fcis-17466	201	1	the	the	DET
fcis-17466	201	2	adf	adf	PROPN
fcis-17466	201	3	test	test	NOUN
fcis-17466	201	4	is	be	AUX
fcis-17466	201	5	a	a	DET
fcis-17466	201	6	widely	widely	ADV
fcis-17466	201	7	employed	employ	VERB
fcis-17466	201	8	method	method	NOUN
fcis-17466	201	9	to	to	PART
fcis-17466	201	10	evaluate	evaluate	VERB
fcis-17466	201	11	whether	whether	SCONJ
fcis-17466	201	12	a	a	DET
fcis-17466	201	13	time	time	NOUN
fcis-17466	201	14	series	series	NOUN
fcis-17466	201	15	has	have	VERB
fcis-17466	201	16	a	a	DET
fcis-17466	201	17	unit	unit	NOUN
fcis-17466	201	18	root	root	NOUN
fcis-17466	201	19	and	and	CCONJ
fcis-17466	201	20	to	to	PART
fcis-17466	201	21	determine	determine	VERB
fcis-17466	201	22	its	its	PRON
fcis-17466	201	23	stationarity	stationarity	NOUN
fcis-17466	201	24	.	.	PUNCT
fcis-17466	202	1	in	in	ADP
fcis-17466	202	2	our	our	PRON
fcis-17466	202	3	research	research	NOUN
fcis-17466	202	4	,	,	PUNCT
fcis-17466	202	5	this	this	DET
fcis-17466	202	6	testing	testing	NOUN
fcis-17466	202	7	approach	approach	NOUN
fcis-17466	202	8	was	be	AUX
fcis-17466	202	9	employed	employ	VERB
fcis-17466	202	10	to	to	PART
fcis-17466	202	11	analyze	analyze	VERB
fcis-17466	202	12	the	the	DET
fcis-17466	202	13	stationarity	stationarity	NOUN
fcis-17466	202	14	of	of	ADP
fcis-17466	202	15	surface	surface	NOUN
fcis-17466	202	16	maximum	maximum	ADJ
fcis-17466	202	17	temperature	temperature	NOUN
fcis-17466	202	18	,	,	PUNCT
fcis-17466	202	19	energy	energy	NOUN
fcis-17466	202	20	consumption	consumption	NOUN
fcis-17466	202	21	,	,	PUNCT
fcis-17466	202	22	and	and	CCONJ
fcis-17466	202	23	their	their	PRON
fcis-17466	202	24	respective	respective	ADJ
fcis-17466	202	25	growth	growth	NOUN
fcis-17466	202	26	rates	rate	NOUN
fcis-17466	202	27	,	,	PUNCT
fcis-17466	202	28	using	use	VERB
fcis-17466	202	29	zero	zero	NUM
fcis-17466	202	30	and	and	CCONJ
fcis-17466	202	31	one	one	NUM
fcis-17466	202	32	lag	lag	NOUN
fcis-17466	202	33	periods	period	NOUN
fcis-17466	202	34	.	.	PUNCT
fcis-17466	203	1	the	the	DET
fcis-17466	203	2	null	null	ADJ
fcis-17466	203	3	hypothesis	hypothesis	NOUN
fcis-17466	203	4	h_0	h_0	PROPN
fcis-17466	203	5	posits	posit	VERB
fcis-17466	203	6	the	the	DET
fcis-17466	203	7	existence	existence	NOUN
fcis-17466	203	8	of	of	ADP
fcis-17466	203	9	a	a	DET
fcis-17466	203	10	unit	unit	NOUN
fcis-17466	203	11	root	root	NOUN
fcis-17466	203	12	,	,	PUNCT
fcis-17466	203	13	indicating	indicate	VERB
fcis-17466	203	14	non	non	ADJ
fcis-17466	203	15	-	-	NOUN
fcis-17466	203	16	stationarity	stationarity	NOUN
fcis-17466	203	17	.	.	PUNCT
fcis-17466	204	1	the	the	DET
fcis-17466	204	2	logic	logic	ADJ
fcis-17466	204	3	variable	variable	NOUN
fcis-17466	204	4	h	h	NOUN
fcis-17466	204	5	is	be	AUX
fcis-17466	204	6	used	use	VERB
fcis-17466	204	7	to	to	PART
fcis-17466	204	8	determine	determine	VERB
fcis-17466	204	9	the	the	DET
fcis-17466	204	10	ability	ability	NOUN
fcis-17466	204	11	to	to	PART
fcis-17466	204	12	reject	reject	VERB
fcis-17466	204	13	this	this	DET
fcis-17466	204	14	null	null	ADJ
fcis-17466	204	15	hypothesis	hypothesis	NOUN
fcis-17466	204	16	.	.	PUNCT
fcis-17466	205	1	the	the	DET
fcis-17466	205	2	test	test	NOUN
fcis-17466	205	3	outcomes	outcome	NOUN
fcis-17466	205	4	are	be	AUX
fcis-17466	205	5	displayed	display	VERB
fcis-17466	205	6	in	in	ADP
fcis-17466	205	7	table	table	NOUN
fcis-17466	205	8	5	5	NUM
fcis-17466	205	9	.	.	PUNCT
fcis-17466	205	10	table	table	NOUN
fcis-17466	205	11	5	5	NUM
fcis-17466	205	12	.	.	PUNCT
fcis-17466	206	1	adf	adf	NOUN
fcis-17466	206	2	test	test	NOUN
fcis-17466	206	3	results	result	NOUN
fcis-17466	206	4	for	for	ADP
fcis-17466	206	5	time	time	NOUN
fcis-17466	206	6	series	series	NOUN
fcis-17466	206	7	and	and	CCONJ
fcis-17466	206	8	their	their	PRON
fcis-17466	206	9	growth	growth	NOUN
fcis-17466	206	10	rates	rate	VERB
fcis-17466	206	11	original	original	ADJ
fcis-17466	206	12	index	index	NOUN
fcis-17466	206	13	0	0	NUM
fcis-17466	206	14	lag	lag	NOUN
fcis-17466	206	15	1	1	NUM
fcis-17466	206	16	lag	lag	NOUN
fcis-17466	206	17	corresponding	correspond	VERB
fcis-17466	206	18	growth	growth	NOUN
fcis-17466	206	19	rate	rate	NOUN
fcis-17466	206	20	indicator	indicator	NOUN
fcis-17466	206	21	0	0	NUM
fcis-17466	206	22	lag	lag	VERB
fcis-17466	206	23	1	1	NUM
fcis-17466	206	24	lag	lag	NOUN
fcis-17466	206	25	surface	surface	NOUN
fcis-17466	206	26	max	max	PROPN
fcis-17466	206	27	temperature	temperature	NOUN
fcis-17466	206	28	0	0	NUM
fcis-17466	206	29	0	0	NUM
fcis-17466	206	30	surface	surface	NOUN
fcis-17466	206	31	max	max	PROPN
fcis-17466	206	32	temp	temp	NOUN
fcis-17466	206	33	growth	growth	NOUN
fcis-17466	206	34	rate	rate	NOUN
fcis-17466	206	35	1	1	NUM
fcis-17466	206	36	1	1	NUM
fcis-17466	206	37	coal	coal	NOUN
fcis-17466	206	38	0	0	NUM
fcis-17466	206	39	0	0	NUM
fcis-17466	206	40	coal	coal	NOUN
fcis-17466	206	41	growth	growth	NOUN
fcis-17466	206	42	rate	rate	NOUN
fcis-17466	206	43	1	1	NUM
fcis-17466	206	44	1	1	NUM
fcis-17466	206	45	refined	refined	ADJ
fcis-17466	206	46	petroleum	petroleum	NOUN
fcis-17466	206	47	products	product	NOUN
fcis-17466	206	48	0	0	NUM
fcis-17466	206	49	0	0	NUM
fcis-17466	206	50	refined	refined	ADJ
fcis-17466	206	51	petroleum	petroleum	NOUN
fcis-17466	206	52	products	product	NOUN
fcis-17466	206	53	growth	growth	NOUN
fcis-17466	206	54	rate	rate	NOUN
fcis-17466	206	55	1	1	NUM
fcis-17466	206	56	1	1	NUM
fcis-17466	206	57	dry	dry	ADJ
fcis-17466	206	58	natural	natural	ADJ
fcis-17466	206	59	gas	gas	NOUN
fcis-17466	206	60	consumption	consumption	NOUN
fcis-17466	206	61	0	0	NUM
fcis-17466	206	62	0	0	NUM
fcis-17466	206	63	dry	dry	ADJ
fcis-17466	206	64	natural	natural	ADJ
fcis-17466	206	65	gas	gas	NOUN
fcis-17466	206	66	consumption	consumption	NOUN
fcis-17466	206	67	growth	growth	NOUN
fcis-17466	206	68	rate	rate	NOUN
fcis-17466	206	69	1	1	NUM
fcis-17466	206	70	1	1	NUM
fcis-17466	206	71	electricity	electricity	NOUN
fcis-17466	206	72	net	net	ADJ
fcis-17466	206	73	consumption	consumption	NOUN
fcis-17466	206	74	0	0	NUM
fcis-17466	206	75	0	0	NUM
fcis-17466	206	76	electricity	electricity	NOUN
fcis-17466	206	77	net	net	ADJ
fcis-17466	206	78	consumption	consumption	NOUN
fcis-17466	206	79	growth	growth	NOUN
fcis-17466	206	80	rate	rate	NOUN
fcis-17466	206	81	0	0	NUM
fcis-17466	206	82	0	0	NUM
fcis-17466	206	83	consumption	consumption	NOUN
fcis-17466	206	84	of	of	ADP
fcis-17466	206	85	biofuels	biofuel	NOUN
fcis-17466	206	86	0	0	NUM
fcis-17466	206	87	0	0	NUM
fcis-17466	206	88	consumption	consumption	NOUN
fcis-17466	206	89	of	of	ADP
fcis-17466	206	90	biofuels	biofuel	NOUN
fcis-17466	206	91	growth	growth	NOUN
fcis-17466	206	92	rate	rate	NOUN
fcis-17466	206	93	1	1	NUM
fcis-17466	206	94	1	1	NUM
fcis-17466	206	95	since	since	SCONJ
fcis-17466	206	96	h=1	h=1	PROPN
fcis-17466	206	97	signifies	signify	VERB
fcis-17466	206	98	rejection	rejection	NOUN
fcis-17466	206	99	of	of	ADP
fcis-17466	206	100	the	the	DET
fcis-17466	206	101	null	null	ADJ
fcis-17466	206	102	hypothesis	hypothesis	NOUN
fcis-17466	206	103	,	,	PUNCT
fcis-17466	206	104	indicating	indicate	VERB
fcis-17466	206	105	stationarity	stationarity	NOUN
fcis-17466	206	106	,	,	PUNCT
fcis-17466	206	107	and	and	CCONJ
fcis-17466	206	108	h=0	h=0	PROPN
fcis-17466	206	109	implies	imply	VERB
fcis-17466	206	110	the	the	DET
fcis-17466	206	111	null	null	ADJ
fcis-17466	206	112	hypothesis	hypothesis	NOUN
fcis-17466	206	113	can	can	AUX
fcis-17466	206	114	not	not	PART
fcis-17466	206	115	be	be	AUX
fcis-17466	206	116	rejected	reject	VERB
fcis-17466	206	117	,	,	PUNCT
fcis-17466	206	118	suggesting	suggest	VERB
fcis-17466	206	119	non	non	ADJ
fcis-17466	206	120	-	-	NOUN
fcis-17466	206	121	stationarity	stationarity	NOUN
fcis-17466	206	122	.	.	PROPN
fcis-17466	207	1	based	base	VERB
fcis-17466	207	2	on	on	ADP
fcis-17466	207	3	the	the	DET
fcis-17466	207	4	results	result	NOUN
fcis-17466	207	5	of	of	ADP
fcis-17466	207	6	table	table	NOUN
fcis-17466	207	7	5	5	NUM
fcis-17466	207	8	,	,	PUNCT
fcis-17466	207	9	none	none	NOUN
fcis-17466	207	10	of	of	ADP
fcis-17466	207	11	the	the	DET
fcis-17466	207	12	original	original	ADJ
fcis-17466	207	13	indicators	indicator	NOUN
fcis-17466	207	14	could	could	AUX
fcis-17466	207	15	reject	reject	VERB
fcis-17466	207	16	the	the	DET
fcis-17466	207	17	null	null	ADJ
fcis-17466	207	18	hypothesis	hypothesis	NOUN
fcis-17466	207	19	at	at	ADP
fcis-17466	207	20	both	both	DET
fcis-17466	207	21	zeros	zero	NOUN
fcis-17466	207	22	and	and	CCONJ
fcis-17466	207	23	one	one	NUM
fcis-17466	207	24	lag	lag	NOUN
fcis-17466	207	25	,	,	PUNCT
fcis-17466	207	26	indicating	indicate	VERB
fcis-17466	207	27	the	the	DET
fcis-17466	207	28	presence	presence	NOUN
fcis-17466	207	29	of	of	ADP
fcis-17466	207	30	a	a	DET
fcis-17466	207	31	unit	unit	NOUN
fcis-17466	207	32	root	root	NOUN
fcis-17466	207	33	,	,	PUNCT
fcis-17466	207	34	thus	thus	ADV
fcis-17466	207	35	non	non	ADJ
fcis-17466	207	36	-	-	ADJ
fcis-17466	207	37	stationary	stationary	ADJ
fcis-17466	207	38	.	.	PUNCT
fcis-17466	208	1	this	this	DET
fcis-17466	208	2	status	status	NOUN
fcis-17466	208	3	can	can	AUX
fcis-17466	208	4	lead	lead	VERB
fcis-17466	208	5	to	to	ADP
fcis-17466	208	6	potential	potential	ADJ
fcis-17466	208	7	biases	bias	NOUN
fcis-17466	208	8	in	in	ADP
fcis-17466	208	9	the	the	DET
fcis-17466	208	10	bilstm	bilstm	NOUN
fcis-17466	208	11	model	model	NOUN
fcis-17466	208	12	during	during	ADP
fcis-17466	208	13	forecasting	forecasting	NOUN
fcis-17466	208	14	.	.	PUNCT
fcis-17466	209	1	nevertheless	nevertheless	ADV
fcis-17466	209	2	,	,	PUNCT
fcis-17466	209	3	the	the	DET
fcis-17466	209	4	growth	growth	NOUN
fcis-17466	209	5	rates	rate	NOUN
fcis-17466	209	6	demonstrate	demonstrate	VERB
fcis-17466	209	7	consistent	consistent	ADJ
fcis-17466	209	8	stationarity	stationarity	NOUN
fcis-17466	209	9	,	,	PUNCT
fcis-17466	209	10	except	except	SCONJ
fcis-17466	209	11	for	for	ADP
fcis-17466	209	12	the	the	DET
fcis-17466	209	13	growth	growth	NOUN
fcis-17466	209	14	rate	rate	NOUN
fcis-17466	209	15	of	of	ADP
fcis-17466	209	16	electricity	electricity	NOUN
fcis-17466	209	17	net	net	ADJ
fcis-17466	209	18	consumption	consumption	NOUN
fcis-17466	209	19	,	,	PUNCT
fcis-17466	209	20	which	which	PRON
fcis-17466	209	21	could	could	AUX
fcis-17466	209	22	not	not	PART
fcis-17466	209	23	reject	reject	VERB
fcis-17466	209	24	the	the	DET
fcis-17466	209	25	null	null	ADJ
fcis-17466	209	26	hypothesis	hypothesis	NOUN
fcis-17466	209	27	at	at	ADP
fcis-17466	209	28	any	any	DET
fcis-17466	209	29	lag	lag	NOUN
fcis-17466	209	30	order	order	NOUN
fcis-17466	209	31	.	.	PUNCT
fcis-17466	210	1	this	this	PRON
fcis-17466	210	2	suggests	suggest	VERB
fcis-17466	210	3	that	that	SCONJ
fcis-17466	210	4	,	,	PUNCT
fcis-17466	210	5	except	except	SCONJ
fcis-17466	210	6	for	for	ADP
fcis-17466	210	7	electricity	electricity	NOUN
fcis-17466	210	8	net	net	ADJ
fcis-17466	210	9	consumption	consumption	NOUN
fcis-17466	210	10	,	,	PUNCT
fcis-17466	210	11	other	other	ADJ
fcis-17466	210	12	indicators	indicator	NOUN
fcis-17466	210	13	'	'	PART
fcis-17466	210	14	growth	growth	NOUN
fcis-17466	210	15	rates	rate	NOUN
fcis-17466	210	16	may	may	AUX
fcis-17466	210	17	be	be	AUX
fcis-17466	210	18	more	more	ADV
fcis-17466	210	19	appropriate	appropriate	ADJ
fcis-17466	210	20	for	for	ADP
fcis-17466	210	21	forecasting	forecasting	NOUN
fcis-17466	210	22	using	use	VERB
fcis-17466	210	23	the	the	DET
fcis-17466	210	24	bilstm	bilstm	NOUN
fcis-17466	210	25	model	model	NOUN
fcis-17466	210	26	.	.	PUNCT
fcis-17466	211	1	although	although	SCONJ
fcis-17466	211	2	the	the	DET
fcis-17466	211	3	adf	adf	NOUN
fcis-17466	211	4	test	test	NOUN
fcis-17466	211	5	does	do	AUX
fcis-17466	211	6	not	not	PART
fcis-17466	211	7	confirm	confirm	VERB
fcis-17466	211	8	the	the	DET
fcis-17466	211	9	stationarity	stationarity	NOUN
fcis-17466	211	10	of	of	ADP
fcis-17466	211	11	the	the	DET
fcis-17466	211	12	electricity	electricity	NOUN
fcis-17466	211	13	net	net	ADJ
fcis-17466	211	14	consumption	consumption	NOUN
fcis-17466	211	15	growth	growth	NOUN
fcis-17466	211	16	rate	rate	NOUN
fcis-17466	211	17	,	,	PUNCT
fcis-17466	211	18	this	this	DET
fcis-17466	211	19	research	research	NOUN
fcis-17466	211	20	still	still	ADV
fcis-17466	211	21	opts	opt	VERB
fcis-17466	211	22	to	to	PART
fcis-17466	211	23	use	use	VERB
fcis-17466	211	24	the	the	DET
fcis-17466	211	25	bilstm	bilstm	NOUN
fcis-17466	211	26	model	model	NOUN
fcis-17466	211	27	to	to	PART
fcis-17466	211	28	predict	predict	VERB
fcis-17466	211	29	electricity	electricity	NOUN
fcis-17466	211	30	net	net	ADJ
fcis-17466	211	31	consumption	consumption	NOUN
fcis-17466	211	32	data	datum	NOUN
fcis-17466	211	33	over	over	ADP
fcis-17466	211	34	the	the	DET
fcis-17466	211	35	next	next	ADJ
fcis-17466	211	36	ten	ten	NUM
fcis-17466	211	37	years	year	NOUN
fcis-17466	211	38	when	when	SCONJ
fcis-17466	211	39	assessing	assess	VERB
fcis-17466	211	40	future	future	ADJ
fcis-17466	211	41	risk	risk	NOUN
fcis-17466	211	42	levels	level	NOUN
fcis-17466	211	43	.	.	PUNCT
fcis-17466	212	1	despite	despite	SCONJ
fcis-17466	212	2	limitations	limitation	NOUN
fcis-17466	212	3	in	in	ADP
fcis-17466	212	4	handling	handle	VERB
fcis-17466	212	5	nonstationary	nonstationary	ADJ
fcis-17466	212	6	time	time	NOUN
fcis-17466	212	7	series	series	PROPN
fcis-17466	212	8	data	data	PROPN
fcis-17466	212	9	,	,	PUNCT
fcis-17466	212	10	the	the	DET
fcis-17466	212	11	model	model	NOUN
fcis-17466	212	12	's	's	PART
fcis-17466	212	13	unique	unique	ADJ
fcis-17466	212	14	capacity	capacity	NOUN
fcis-17466	212	15	to	to	PART
fcis-17466	212	16	capture	capture	VERB
fcis-17466	212	17	long	long	ADJ
fcis-17466	212	18	-	-	PUNCT
fcis-17466	212	19	term	term	NOUN
fcis-17466	212	20	dependencies	dependency	NOUN
fcis-17466	212	21	and	and	CCONJ
fcis-17466	212	22	complex	complex	ADJ
fcis-17466	212	23	patterns	pattern	NOUN
fcis-17466	212	24	can	can	AUX
fcis-17466	212	25	still	still	ADV
fcis-17466	212	26	provide	provide	VERB
fcis-17466	212	27	valuable	valuable	ADJ
fcis-17466	212	28	predictions	prediction	NOUN
fcis-17466	212	29	;	;	PUNCT
fcis-17466	212	30	thus	thus	ADV
fcis-17466	212	31	,	,	PUNCT
fcis-17466	212	32	we	we	PRON
fcis-17466	212	33	consider	consider	VERB
fcis-17466	212	34	the	the	DET
fcis-17466	212	35	bilstm	bilstm	NOUN
fcis-17466	212	36	model	model	NOUN
fcis-17466	212	37	to	to	PART
fcis-17466	212	38	be	be	AUX
fcis-17466	212	39	an	an	DET
fcis-17466	212	40	effective	effective	ADJ
fcis-17466	212	41	forecasting	forecasting	NOUN
fcis-17466	212	42	tool	tool	NOUN
fcis-17466	212	43	.	.	PUNCT
fcis-17466	213	1	however	however	ADV
fcis-17466	213	2	,	,	PUNCT
fcis-17466	213	3	incorporating	incorporate	VERB
fcis-17466	213	4	other	other	ADJ
fcis-17466	213	5	preprocessing	preprocessing	NOUN
fcis-17466	213	6	methods	method	NOUN
fcis-17466	213	7	(	(	PUNCT
fcis-17466	213	8	like	like	ADP
fcis-17466	213	9	differencing	differencing	NOUN
fcis-17466	213	10	)	)	PUNCT
fcis-17466	213	11	in	in	ADP
fcis-17466	213	12	practice	practice	NOUN
fcis-17466	213	13	could	could	AUX
fcis-17466	213	14	enhance	enhance	VERB
fcis-17466	213	15	prediction	prediction	NOUN
fcis-17466	213	16	accuracy	accuracy	NOUN
fcis-17466	213	17	further	far	ADV
fcis-17466	213	18	.	.	PUNCT
fcis-17466	214	1	4.3.2	4.3.2	X
fcis-17466	214	2	.	.	PUNCT
fcis-17466	215	1	model	model	NOUN
fcis-17466	215	2	robustness	robustness	NOUN
fcis-17466	215	3	analysis	analysis	NOUN
fcis-17466	215	4	in	in	ADP
fcis-17466	215	5	this	this	DET
fcis-17466	215	6	research	research	NOUN
fcis-17466	215	7	,	,	PUNCT
fcis-17466	215	8	the	the	DET
fcis-17466	215	9	bilstm	bilstm	NOUN
fcis-17466	215	10	model	model	NOUN
fcis-17466	215	11	was	be	AUX
fcis-17466	215	12	employed	employ	VERB
fcis-17466	215	13	for	for	ADP
fcis-17466	215	14	forecasting	forecast	VERB
fcis-17466	215	15	surface	surface	NOUN
fcis-17466	215	16	maximum	maximum	ADJ
fcis-17466	215	17	temperature	temperature	NOUN
fcis-17466	215	18	.	.	PUNCT
fcis-17466	216	1	since	since	SCONJ
fcis-17466	216	2	deep	deep	ADJ
fcis-17466	216	3	learning	learning	NOUN
fcis-17466	216	4	models	model	NOUN
fcis-17466	216	5	are	be	AUX
fcis-17466	216	6	highly	highly	ADV
fcis-17466	216	7	susceptible	susceptible	ADJ
fcis-17466	216	8	to	to	ADP
fcis-17466	216	9	parameter	parameter	NOUN
fcis-17466	216	10	changes	change	NOUN
fcis-17466	216	11	,	,	PUNCT
fcis-17466	216	12	including	include	VERB
fcis-17466	216	13	the	the	DET
fcis-17466	216	14	number	number	NOUN
fcis-17466	216	15	of	of	ADP
fcis-17466	216	16	neurons	neuron	NOUN
fcis-17466	216	17	in	in	ADP
fcis-17466	216	18	the	the	DET
fcis-17466	216	19	hidden	hidden	ADJ
fcis-17466	216	20	layers	layer	NOUN
fcis-17466	216	21	,	,	PUNCT
fcis-17466	216	22	the	the	DET
fcis-17466	216	23	number	number	NOUN
fcis-17466	216	24	of	of	ADP
fcis-17466	216	25	training	training	NOUN
fcis-17466	216	26	iterations	iteration	NOUN
fcis-17466	216	27	,	,	PUNCT
fcis-17466	216	28	and	and	CCONJ
fcis-17466	216	29	the	the	DET
fcis-17466	216	30	learning	learning	NOUN
fcis-17466	216	31	rate	rate	NOUN
fcis-17466	216	32	,	,	PUNCT
fcis-17466	216	33	which	which	PRON
fcis-17466	216	34	directly	directly	ADV
fcis-17466	216	35	affect	affect	VERB
fcis-17466	216	36	model	model	NOUN
fcis-17466	216	37	performance	performance	NOUN
fcis-17466	216	38	.	.	PUNCT
fcis-17466	217	1	in	in	ADP
fcis-17466	217	2	particular	particular	ADJ
fcis-17466	217	3	,	,	PUNCT
fcis-17466	217	4	the	the	DET
fcis-17466	217	5	number	number	NOUN
fcis-17466	217	6	of	of	ADP
fcis-17466	217	7	neurons	neuron	NOUN
fcis-17466	217	8	in	in	ADP
fcis-17466	217	9	the	the	DET
fcis-17466	217	10	hidden	hidden	ADJ
fcis-17466	217	11	layers	layer	NOUN
fcis-17466	217	12	decisively	decisively	ADV
fcis-17466	217	13	controls	control	VERB
fcis-17466	217	14	the	the	DET
fcis-17466	217	15	complexity	complexity	NOUN
fcis-17466	217	16	and	and	CCONJ
fcis-17466	217	17	performance	performance	NOUN
fcis-17466	217	18	of	of	ADP
fcis-17466	217	19	the	the	DET
fcis-17466	217	20	neural	neural	ADJ
fcis-17466	217	21	network	network	NOUN
fcis-17466	217	22	model	model	NOUN
fcis-17466	217	23	.	.	PUNCT
fcis-17466	218	1	to	to	PART
fcis-17466	218	2	ensure	ensure	VERB
fcis-17466	218	3	the	the	DET
fcis-17466	218	4	veracity	veracity	NOUN
fcis-17466	218	5	and	and	CCONJ
fcis-17466	218	6	rigor	rigor	NOUN
fcis-17466	218	7	of	of	ADP
fcis-17466	218	8	our	our	PRON
fcis-17466	218	9	conclusions	conclusion	NOUN
fcis-17466	218	10	,	,	PUNCT
fcis-17466	218	11	a	a	DET
fcis-17466	218	12	detailed	detailed	ADJ
fcis-17466	218	13	sensitivity	sensitivity	NOUN
fcis-17466	218	14	analysis	analysis	NOUN
fcis-17466	218	15	was	be	AUX
fcis-17466	218	16	conducted	conduct	VERB
fcis-17466	218	17	on	on	ADP
fcis-17466	218	18	the	the	DET
fcis-17466	218	19	bilstm	bilstm	NOUN
fcis-17466	218	20	model	model	NOUN
fcis-17466	218	21	to	to	PART
fcis-17466	218	22	assess	assess	VERB
fcis-17466	218	23	its	its	PRON
fcis-17466	218	24	robustness	robustness	NOUN
fcis-17466	218	25	.	.	PUNCT
fcis-17466	219	1	an	an	DET
fcis-17466	219	2	adjustment	adjustment	NOUN
fcis-17466	219	3	coefficient	coefficient	NOUN
fcis-17466	219	4	α	α	PRON
fcis-17466	219	5	was	be	AUX
fcis-17466	219	6	introduced	introduce	VERB
fcis-17466	219	7	to	to	ADP
fcis-17466	219	8	precisely	precisely	ADV
fcis-17466	219	9	18	18	NUM
fcis-17466	219	10	modulate	modulate	ADJ
fcis-17466	219	11	the	the	DET
fcis-17466	219	12	number	number	NOUN
fcis-17466	219	13	of	of	ADP
fcis-17466	219	14	neurons	neuron	NOUN
fcis-17466	219	15	in	in	ADP
fcis-17466	219	16	the	the	DET
fcis-17466	219	17	hidden	hide	VERB
fcis-17466	219	18	layers	layer	NOUN
fcis-17466	219	19	by	by	ADP
fcis-17466	219	20	a	a	DET
fcis-17466	219	21	range	range	NOUN
fcis-17466	219	22	of	of	ADP
fcis-17466	219	23	-20	-20	NUM
fcis-17466	219	24	%	%	NOUN
fcis-17466	219	25	to	to	PART
fcis-17466	219	26	+20	+20	NUM
fcis-17466	219	27	%	%	NOUN
fcis-17466	219	28	,	,	PUNCT
fcis-17466	219	29	in	in	ADP
fcis-17466	219	30	5	5	NUM
fcis-17466	219	31	%	%	NOUN
fcis-17466	219	32	increments	increment	NOUN
fcis-17466	219	33	,	,	PUNCT
fcis-17466	219	34	ensuring	ensure	VERB
fcis-17466	219	35	that	that	SCONJ
fcis-17466	219	36	other	other	ADJ
fcis-17466	219	37	potential	potential	ADJ
fcis-17466	219	38	variables	variable	NOUN
fcis-17466	219	39	,	,	PUNCT
fcis-17466	219	40	such	such	ADJ
fcis-17466	219	41	as	as	ADP
fcis-17466	219	42	iteration	iteration	NOUN
fcis-17466	219	43	counts	count	NOUN
fcis-17466	219	44	,	,	PUNCT
fcis-17466	219	45	remained	remain	VERB
fcis-17466	219	46	consistent	consistent	ADJ
fcis-17466	219	47	during	during	ADP
fcis-17466	219	48	this	this	DET
fcis-17466	219	49	process	process	NOUN
fcis-17466	219	50	.	.	PUNCT
fcis-17466	220	1	by	by	ADP
fcis-17466	220	2	this	this	DET
fcis-17466	220	3	approach	approach	NOUN
fcis-17466	220	4	,	,	PUNCT
fcis-17466	220	5	we	we	PRON
fcis-17466	220	6	systematically	systematically	ADV
fcis-17466	220	7	altered	alter	VERB
fcis-17466	220	8	critical	critical	ADJ
fcis-17466	220	9	model	model	NOUN
fcis-17466	220	10	parameters	parameter	NOUN
fcis-17466	220	11	and	and	CCONJ
fcis-17466	220	12	recorded	record	VERB
fcis-17466	220	13	the	the	DET
fcis-17466	220	14	resulting	result	VERB
fcis-17466	220	15	rmse	rmse	NOUN
fcis-17466	220	16	to	to	PART
fcis-17466	220	17	gauge	gauge	VERB
fcis-17466	220	18	model	model	NOUN
fcis-17466	220	19	performance	performance	NOUN
fcis-17466	220	20	.	.	PUNCT
fcis-17466	221	1	our	our	PRON
fcis-17466	221	2	bilstm	bilstm	NOUN
fcis-17466	221	3	model	model	NOUN
fcis-17466	221	4	comprises	comprise	VERB
fcis-17466	221	5	three	three	NUM
fcis-17466	221	6	hidden	hide	VERB
fcis-17466	221	7	neuron	neuron	NOUN
fcis-17466	221	8	layers	layer	NOUN
fcis-17466	221	9	,	,	PUNCT
fcis-17466	221	10	denoted	denote	VERB
fcis-17466	221	11	as	as	ADP
fcis-17466	221	12	h1	h1	PROPN
fcis-17466	221	13	,	,	PUNCT
fcis-17466	221	14	h2	h2	NOUN
fcis-17466	221	15	,	,	PUNCT
fcis-17466	221	16	and	and	CCONJ
fcis-17466	221	17	h3	h3	NOUN
fcis-17466	221	18	,	,	PUNCT
fcis-17466	221	19	with	with	ADP
fcis-17466	221	20	outcomes	outcome	NOUN
fcis-17466	221	21	illustrated	illustrate	VERB
fcis-17466	221	22	in	in	ADP
fcis-17466	221	23	figure	figure	NOUN
fcis-17466	221	24	6	6	NUM
fcis-17466	221	25	.	.	PUNCT
fcis-17466	221	26	figure	figure	VERB
fcis-17466	221	27	6	6	NUM
fcis-17466	221	28	.	.	PUNCT
fcis-17466	221	29	bilstm	bilstm	NOUN
fcis-17466	221	30	model	model	NOUN
fcis-17466	221	31	robustness	robustness	NOUN
fcis-17466	221	32	analysis	analysis	NOUN
fcis-17466	221	33	according	accord	VERB
fcis-17466	221	34	to	to	PART
fcis-17466	221	35	figure	figure	VERB
fcis-17466	221	36	6	6	NUM
fcis-17466	221	37	,	,	PUNCT
fcis-17466	221	38	rmse	rmse	NOUN
fcis-17466	221	39	exhibits	exhibit	VERB
fcis-17466	221	40	a	a	DET
fcis-17466	221	41	trend	trend	NOUN
fcis-17466	221	42	of	of	ADP
fcis-17466	221	43	variation	variation	NOUN
fcis-17466	221	44	when	when	SCONJ
fcis-17466	221	45	the	the	DET
fcis-17466	221	46	number	number	NOUN
fcis-17466	221	47	of	of	ADP
fcis-17466	221	48	neurons	neuron	NOUN
fcis-17466	221	49	in	in	ADP
fcis-17466	221	50	the	the	DET
fcis-17466	221	51	hidden	hidden	ADJ
fcis-17466	221	52	layers	layer	NOUN
fcis-17466	221	53	is	be	AUX
fcis-17466	221	54	adjusted	adjust	VERB
fcis-17466	221	55	,	,	PUNCT
fcis-17466	221	56	but	but	CCONJ
fcis-17466	221	57	no	no	DET
fcis-17466	221	58	clear	clear	ADJ
fcis-17466	221	59	pattern	pattern	NOUN
fcis-17466	221	60	emerges	emerge	VERB
fcis-17466	221	61	.	.	PUNCT
fcis-17466	222	1	additionally	additionally	ADV
fcis-17466	222	2	,	,	PUNCT
fcis-17466	222	3	our	our	PRON
fcis-17466	222	4	analysis	analysis	NOUN
fcis-17466	222	5	reveals	reveal	VERB
fcis-17466	222	6	that	that	SCONJ
fcis-17466	222	7	,	,	PUNCT
fcis-17466	222	8	without	without	ADP
fcis-17466	222	9	any	any	DET
fcis-17466	222	10	adjustments	adjustment	NOUN
fcis-17466	222	11	(	(	PUNCT
fcis-17466	222	12	α=0	α=0	NOUN
fcis-17466	222	13	%	%	NOUN
fcis-17466	222	14	)	)	PUNCT
fcis-17466	222	15	,	,	PUNCT
fcis-17466	222	16	the	the	DET
fcis-17466	222	17	layers	layer	NOUN
fcis-17466	222	18	h1	h1	VERB
fcis-17466	222	19	and	and	CCONJ
fcis-17466	222	20	h2	h2	NOUN
fcis-17466	222	21	manifest	manifest	VERB
fcis-17466	222	22	optimal	optimal	ADJ
fcis-17466	222	23	performance	performance	NOUN
fcis-17466	222	24	with	with	ADP
fcis-17466	222	25	an	an	DET
fcis-17466	222	26	rmse	rmse	ADJ
fcis-17466	222	27	value	value	NOUN
fcis-17466	222	28	of	of	ADP
fcis-17466	222	29	0.0064	0.0064	NUM
fcis-17466	222	30	.	.	PUNCT
fcis-17466	223	1	concurrently	concurrently	ADV
fcis-17466	223	2	,	,	PUNCT
fcis-17466	223	3	h3	h3	NOUN
fcis-17466	223	4	displays	display	VERB
fcis-17466	223	5	optimum	optimum	ADJ
fcis-17466	223	6	performance	performance	NOUN
fcis-17466	223	7	with	with	ADP
fcis-17466	223	8	a	a	DET
fcis-17466	223	9	10	10	NUM
fcis-17466	223	10	%	%	NOUN
fcis-17466	223	11	increase	increase	NOUN
fcis-17466	223	12	adjustment	adjustment	NOUN
fcis-17466	223	13	,	,	PUNCT
fcis-17466	223	14	reducing	reduce	VERB
fcis-17466	223	15	the	the	DET
fcis-17466	223	16	rmse	rmse	NOUN
fcis-17466	223	17	to	to	ADP
fcis-17466	223	18	0.0059	0.0059	NUM
fcis-17466	223	19	.	.	PUNCT
fcis-17466	224	1	these	these	DET
fcis-17466	224	2	findings	finding	NOUN
fcis-17466	224	3	indicate	indicate	VERB
fcis-17466	224	4	that	that	SCONJ
fcis-17466	224	5	minor	minor	ADJ
fcis-17466	224	6	adjustments	adjustment	NOUN
fcis-17466	224	7	could	could	AUX
fcis-17466	224	8	suffice	suffice	VERB
fcis-17466	224	9	in	in	ADP
fcis-17466	224	10	optimizing	optimize	VERB
fcis-17466	224	11	model	model	NOUN
fcis-17466	224	12	performance	performance	NOUN
fcis-17466	224	13	without	without	ADP
fcis-17466	224	14	the	the	DET
fcis-17466	224	15	need	need	NOUN
fcis-17466	224	16	for	for	ADP
fcis-17466	224	17	substantial	substantial	ADJ
fcis-17466	224	18	changes	change	NOUN
fcis-17466	224	19	in	in	ADP
fcis-17466	224	20	the	the	DET
fcis-17466	224	21	number	number	NOUN
fcis-17466	224	22	of	of	ADP
fcis-17466	224	23	neurons	neuron	NOUN
fcis-17466	224	24	.	.	PUNCT
fcis-17466	225	1	during	during	ADP
fcis-17466	225	2	optimization	optimization	NOUN
fcis-17466	225	3	,	,	PUNCT
fcis-17466	225	4	there	there	PRON
fcis-17466	225	5	must	must	AUX
fcis-17466	225	6	be	be	AUX
fcis-17466	225	7	caution	caution	NOUN
fcis-17466	225	8	regarding	regard	VERB
fcis-17466	225	9	the	the	DET
fcis-17466	225	10	optimization	optimization	NOUN
fcis-17466	225	11	algorithm	algorithm	NOUN
fcis-17466	225	12	potentially	potentially	ADV
fcis-17466	225	13	converging	converge	VERB
fcis-17466	225	14	to	to	ADP
fcis-17466	225	15	local	local	ADJ
fcis-17466	225	16	optima	optima	NOUN
fcis-17466	225	17	.	.	PUNCT
fcis-17466	226	1	comparing	compare	VERB
fcis-17466	226	2	h3	h3	NOUN
fcis-17466	226	3	's	's	PART
fcis-17466	226	4	performance	performance	NOUN
fcis-17466	226	5	at	at	ADP
fcis-17466	226	6	a	a	DET
fcis-17466	226	7	+10	+10	NOUN
fcis-17466	226	8	%	%	NOUN
fcis-17466	226	9	adjustment	adjustment	NOUN
fcis-17466	226	10	with	with	ADP
fcis-17466	226	11	the	the	DET
fcis-17466	226	12	unadjusted	unadjusted	ADJ
fcis-17466	226	13	scenario	scenario	NOUN
fcis-17466	226	14	,	,	PUNCT
fcis-17466	226	15	we	we	PRON
fcis-17466	226	16	infer	infer	VERB
fcis-17466	226	17	that	that	SCONJ
fcis-17466	226	18	fine	fine	ADJ
fcis-17466	226	19	-	-	PUNCT
fcis-17466	226	20	tuning	tune	VERB
fcis-17466	226	21	h3	h3	NOUN
fcis-17466	226	22	may	may	AUX
fcis-17466	226	23	not	not	PART
fcis-17466	226	24	be	be	AUX
fcis-17466	226	25	essential	essential	ADJ
fcis-17466	226	26	.	.	PUNCT
fcis-17466	227	1	the	the	DET
fcis-17466	227	2	sensitivity	sensitivity	NOUN
fcis-17466	227	3	analysis	analysis	NOUN
fcis-17466	227	4	of	of	ADP
fcis-17466	227	5	the	the	DET
fcis-17466	227	6	neuron	neuron	NOUN
fcis-17466	227	7	count	count	NOUN
fcis-17466	227	8	in	in	ADP
fcis-17466	227	9	hidden	hidden	ADJ
fcis-17466	227	10	layers	layer	NOUN
fcis-17466	227	11	helped	helped	AUX
fcis-17466	227	12	ascertain	ascertain	VERB
fcis-17466	227	13	the	the	DET
fcis-17466	227	14	optimal	optimal	ADJ
fcis-17466	227	15	configuration	configuration	NOUN
fcis-17466	227	16	for	for	ADP
fcis-17466	227	17	the	the	DET
fcis-17466	227	18	bilstm	bilstm	NOUN
fcis-17466	227	19	model	model	NOUN
fcis-17466	227	20	,	,	PUNCT
fcis-17466	227	21	serving	serve	VERB
fcis-17466	227	22	as	as	ADP
fcis-17466	227	23	a	a	DET
fcis-17466	227	24	reference	reference	NOUN
fcis-17466	227	25	for	for	ADP
fcis-17466	227	26	achieving	achieve	VERB
fcis-17466	227	27	precise	precise	ADJ
fcis-17466	227	28	temperature	temperature	NOUN
fcis-17466	227	29	forecasting	forecasting	NOUN
fcis-17466	227	30	.	.	PUNCT
fcis-17466	228	1	5	5	X
fcis-17466	228	2	.	.	X
fcis-17466	228	3	conclusion	conclusion	NOUN
fcis-17466	228	4	and	and	CCONJ
fcis-17466	228	5	implications	implication	NOUN
fcis-17466	228	6	this	this	DET
fcis-17466	228	7	research	research	NOUN
fcis-17466	228	8	develops	develop	VERB
fcis-17466	228	9	a	a	DET
fcis-17466	228	10	bilstm	bilstm	NOUN
fcis-17466	228	11	model	model	NOUN
fcis-17466	228	12	to	to	PART
fcis-17466	228	13	predict	predict	VERB
fcis-17466	228	14	the	the	DET
fcis-17466	228	15	trend	trend	NOUN
fcis-17466	228	16	of	of	ADP
fcis-17466	228	17	surface	surface	NOUN
fcis-17466	228	18	maximum	maximum	ADJ
fcis-17466	228	19	temperature	temperature	NOUN
fcis-17466	228	20	changes	change	NOUN
fcis-17466	228	21	over	over	ADP
fcis-17466	228	22	the	the	DET
fcis-17466	228	23	next	next	ADJ
fcis-17466	228	24	century	century	NOUN
fcis-17466	228	25	and	and	CCONJ
fcis-17466	228	26	uses	use	VERB
fcis-17466	228	27	the	the	DET
fcis-17466	228	28	k	k	NOUN
fcis-17466	228	29	-	-	PUNCT
fcis-17466	228	30	means	mean	VERB
fcis-17466	228	31	clustering	cluster	VERB
fcis-17466	228	32	algorithm	algorithm	NOUN
fcis-17466	228	33	to	to	PART
fcis-17466	228	34	establish	establish	VERB
fcis-17466	228	35	warning	warning	NOUN
fcis-17466	228	36	indicators	indicator	NOUN
fcis-17466	228	37	.	.	PUNCT
fcis-17466	229	1	subsequently	subsequently	ADV
fcis-17466	229	2	,	,	PUNCT
fcis-17466	229	3	an	an	DET
fcis-17466	229	4	early	early	ADJ
fcis-17466	229	5	warning	warning	NOUN
fcis-17466	229	6	system	system	NOUN
fcis-17466	229	7	is	be	AUX
fcis-17466	229	8	constructed	construct	VERB
fcis-17466	229	9	using	use	VERB
fcis-17466	229	10	an	an	DET
fcis-17466	229	11	svm	svm	ADJ
fcis-17466	229	12	-	-	ADJ
fcis-17466	229	13	rf	rf	ADJ
fcis-17466	229	14	hybrid	hybrid	ADJ
fcis-17466	229	15	model	model	NOUN
fcis-17466	229	16	,	,	PUNCT
fcis-17466	229	17	providing	provide	VERB
fcis-17466	229	18	a	a	DET
fcis-17466	229	19	methodological	methodological	ADJ
fcis-17466	229	20	approach	approach	NOUN
fcis-17466	229	21	for	for	ADP
fcis-17466	229	22	identifying	identify	VERB
fcis-17466	229	23	potential	potential	ADJ
fcis-17466	229	24	trends	trend	NOUN
fcis-17466	229	25	in	in	ADP
fcis-17466	229	26	climate	climate	NOUN
fcis-17466	229	27	change	change	NOUN
fcis-17466	229	28	and	and	CCONJ
fcis-17466	229	29	energy	energy	NOUN
fcis-17466	229	30	consumption	consumption	NOUN
fcis-17466	229	31	dynamics	dynamic	NOUN
fcis-17466	229	32	.	.	PUNCT
fcis-17466	230	1	the	the	DET
fcis-17466	230	2	study	study	NOUN
fcis-17466	230	3	forecasts	forecast	VERB
fcis-17466	230	4	a	a	DET
fcis-17466	230	5	pattern	pattern	NOUN
fcis-17466	230	6	of	of	ADP
fcis-17466	230	7	an	an	DET
fcis-17466	230	8	initial	initial	ADJ
fcis-17466	230	9	increase	increase	NOUN
fcis-17466	230	10	,	,	PUNCT
fcis-17466	230	11	followed	follow	VERB
fcis-17466	230	12	by	by	ADP
fcis-17466	230	13	a	a	DET
fcis-17466	230	14	decrease	decrease	NOUN
fcis-17466	230	15	and	and	CCONJ
fcis-17466	230	16	then	then	ADV
fcis-17466	230	17	another	another	DET
fcis-17466	230	18	increase	increase	NOUN
fcis-17466	230	19	in	in	ADP
fcis-17466	230	20	surface	surface	NOUN
fcis-17466	230	21	highest	high	ADJ
fcis-17466	230	22	temperatures	temperature	NOUN
fcis-17466	230	23	over	over	ADP
fcis-17466	230	24	the	the	DET
fcis-17466	230	25	next	next	ADJ
fcis-17466	230	26	100	100	NUM
fcis-17466	230	27	years	year	NOUN
fcis-17466	230	28	,	,	PUNCT
fcis-17466	230	29	signaling	signal	VERB
fcis-17466	230	30	a	a	DET
fcis-17466	230	31	rise	rise	NOUN
fcis-17466	230	32	in	in	ADP
fcis-17466	230	33	extreme	extreme	ADJ
fcis-17466	230	34	weather	weather	NOUN
fcis-17466	230	35	events	event	NOUN
fcis-17466	230	36	and	and	CCONJ
fcis-17466	230	37	the	the	DET
fcis-17466	230	38	potential	potential	ADJ
fcis-17466	230	39	impacts	impact	NOUN
fcis-17466	230	40	on	on	ADP
fcis-17466	230	41	sea	sea	NOUN
fcis-17466	230	42	levels	level	NOUN
fcis-17466	230	43	,	,	PUNCT
fcis-17466	230	44	agricultural	agricultural	ADJ
fcis-17466	230	45	output	output	NOUN
fcis-17466	230	46	,	,	PUNCT
fcis-17466	230	47	and	and	CCONJ
fcis-17466	230	48	human	human	ADJ
fcis-17466	230	49	health	health	NOUN
fcis-17466	230	50	.	.	PUNCT
fcis-17466	231	1	the	the	DET
fcis-17466	231	2	analysis	analysis	NOUN
fcis-17466	231	3	of	of	ADP
fcis-17466	231	4	the	the	DET
fcis-17466	231	5	forecast	forecast	NOUN
fcis-17466	231	6	results	result	NOUN
fcis-17466	231	7	corroborates	corroborate	VERB
fcis-17466	231	8	earlier	early	ADJ
fcis-17466	231	9	scholars	scholar	NOUN
fcis-17466	231	10	'	'	PART
fcis-17466	231	11	predictions	prediction	NOUN
fcis-17466	231	12	of	of	ADP
fcis-17466	231	13	future	future	ADJ
fcis-17466	231	14	temperature	temperature	NOUN
fcis-17466	231	15	increases	increase	NOUN
fcis-17466	231	16	and	and	CCONJ
fcis-17466	231	17	underscores	underscore	VERB
fcis-17466	231	18	the	the	DET
fcis-17466	231	19	dangers	danger	NOUN
fcis-17466	231	20	of	of	ADP
fcis-17466	231	21	rising	rise	VERB
fcis-17466	231	22	carbon	carbon	NOUN
fcis-17466	231	23	dioxide	dioxide	NOUN
fcis-17466	231	24	emissions	emission	NOUN
fcis-17466	231	25	and	and	CCONJ
fcis-17466	231	26	energy	energy	NOUN
fcis-17466	231	27	consumption	consumption	NOUN
fcis-17466	231	28	rates	rate	NOUN
fcis-17466	231	29	.	.	PUNCT
fcis-17466	232	1	the	the	DET
fcis-17466	232	2	research	research	NOUN
fcis-17466	232	3	underlines	underline	VERB
fcis-17466	232	4	the	the	DET
fcis-17466	232	5	importance	importance	NOUN
fcis-17466	232	6	of	of	ADP
fcis-17466	232	7	prioritizing	prioritize	VERB
fcis-17466	232	8	the	the	DET
fcis-17466	232	9	reduction	reduction	NOUN
fcis-17466	232	10	of	of	ADP
fcis-17466	232	11	carbon	carbon	NOUN
fcis-17466	232	12	dioxide	dioxide	NOUN
fcis-17466	232	13	emissions	emission	NOUN
fcis-17466	232	14	and	and	CCONJ
fcis-17466	232	15	controlling	control	VERB
fcis-17466	232	16	the	the	DET
fcis-17466	232	17	growth	growth	NOUN
fcis-17466	232	18	rate	rate	NOUN
fcis-17466	232	19	of	of	ADP
fcis-17466	232	20	energy	energy	NOUN
fcis-17466	232	21	consumption	consumption	NOUN
fcis-17466	232	22	to	to	PART
fcis-17466	232	23	avoid	avoid	VERB
fcis-17466	232	24	undermining	undermine	VERB
fcis-17466	232	25	the	the	DET
fcis-17466	232	26	principles	principle	NOUN
fcis-17466	232	27	of	of	ADP
fcis-17466	232	28	sustainable	sustainable	ADJ
fcis-17466	232	29	development	development	NOUN
fcis-17466	232	30	.	.	PUNCT
fcis-17466	233	1	it	it	PRON
fcis-17466	233	2	advocates	advocate	VERB
fcis-17466	233	3	for	for	ADP
fcis-17466	233	4	the	the	DET
fcis-17466	233	5	acceleration	acceleration	NOUN
fcis-17466	233	6	of	of	ADP
fcis-17466	233	7	optimizing	optimize	VERB
fcis-17466	233	8	the	the	DET
fcis-17466	233	9	energy	energy	NOUN
fcis-17466	233	10	structure	structure	NOUN
fcis-17466	233	11	,	,	PUNCT
fcis-17466	233	12	reducing	reduce	VERB
fcis-17466	233	13	dependency	dependency	NOUN
fcis-17466	233	14	on	on	ADP
fcis-17466	233	15	fossil	fossil	ADJ
fcis-17466	233	16	fuels	fuel	NOUN
fcis-17466	233	17	,	,	PUNCT
fcis-17466	233	18	and	and	CCONJ
fcis-17466	233	19	increasing	increase	VERB
fcis-17466	233	20	the	the	DET
fcis-17466	233	21	utilization	utilization	NOUN
fcis-17466	233	22	of	of	ADP
fcis-17466	233	23	renewable	renewable	ADJ
fcis-17466	233	24	energy	energy	NOUN
fcis-17466	233	25	sources	source	NOUN
fcis-17466	233	26	.	.	PUNCT
fcis-17466	234	1	moreover	moreover	ADV
fcis-17466	234	2	,	,	PUNCT
fcis-17466	234	3	the	the	DET
fcis-17466	234	4	study	study	NOUN
fcis-17466	234	5	emphasizes	emphasize	VERB
fcis-17466	234	6	the	the	DET
fcis-17466	234	7	need	need	NOUN
fcis-17466	234	8	to	to	PART
fcis-17466	234	9	establish	establish	VERB
fcis-17466	234	10	a	a	DET
fcis-17466	234	11	multi	multi	ADJ
fcis-17466	234	12	-	-	ADJ
fcis-17466	234	13	level	level	ADJ
fcis-17466	234	14	,	,	PUNCT
fcis-17466	234	15	dynamic	dynamic	ADJ
fcis-17466	234	16	early	early	ADJ
fcis-17466	234	17	warning	warning	NOUN
fcis-17466	234	18	mechanism	mechanism	NOUN
fcis-17466	234	19	to	to	PART
fcis-17466	234	20	take	take	VERB
fcis-17466	234	21	timely	timely	ADJ
fcis-17466	234	22	action	action	NOUN
fcis-17466	234	23	when	when	SCONJ
fcis-17466	234	24	emission	emission	NOUN
fcis-17466	234	25	growth	growth	NOUN
fcis-17466	234	26	rates	rate	NOUN
fcis-17466	234	27	reach	reach	VERB
fcis-17466	234	28	or	or	CCONJ
fcis-17466	234	29	exceed	exceed	VERB
fcis-17466	234	30	predetermined	predetermine	VERB
fcis-17466	234	31	thresholds	threshold	NOUN
fcis-17466	234	32	.	.	PUNCT
fcis-17466	235	1	in	in	ADP
fcis-17466	235	2	terms	term	NOUN
fcis-17466	235	3	of	of	ADP
fcis-17466	235	4	constructing	construct	VERB
fcis-17466	235	5	the	the	DET
fcis-17466	235	6	early	early	ADJ
fcis-17466	235	7	warning	warning	NOUN
fcis-17466	235	8	system	system	NOUN
fcis-17466	235	9	,	,	PUNCT
fcis-17466	235	10	this	this	DET
fcis-17466	235	11	study	study	NOUN
fcis-17466	235	12	encourages	encourage	VERB
fcis-17466	235	13	all	all	DET
fcis-17466	235	14	stakeholders	stakeholder	NOUN
fcis-17466	235	15	,	,	PUNCT
fcis-17466	235	16	including	include	VERB
fcis-17466	235	17	governments	government	NOUN
fcis-17466	235	18	and	and	CCONJ
fcis-17466	235	19	businesses	business	NOUN
fcis-17466	235	20	,	,	PUNCT
fcis-17466	235	21	to	to	PART
fcis-17466	235	22	enhance	enhance	VERB
fcis-17466	235	23	awareness	awareness	NOUN
fcis-17466	235	24	of	of	ADP
fcis-17466	235	25	carbon	carbon	NOUN
fcis-17466	235	26	emission	emission	NOUN
fcis-17466	235	27	and	and	CCONJ
fcis-17466	235	28	energy	energy	NOUN
fcis-17466	235	29	consumption	consumption	NOUN
fcis-17466	235	30	control	control	NOUN
fcis-17466	235	31	,	,	PUNCT
fcis-17466	235	32	to	to	PART
fcis-17466	235	33	promote	promote	VERB
fcis-17466	235	34	the	the	DET
fcis-17466	235	35	development	development	NOUN
fcis-17466	235	36	of	of	ADP
fcis-17466	235	37	related	related	ADJ
fcis-17466	235	38	policy	policy	NOUN
fcis-17466	235	39	measures	measure	NOUN
fcis-17466	235	40	,	,	PUNCT
fcis-17466	235	41	focusing	focus	VERB
fcis-17466	235	42	on	on	ADP
fcis-17466	235	43	the	the	DET
fcis-17466	235	44	foresight	foresight	NOUN
fcis-17466	235	45	and	and	CCONJ
fcis-17466	235	46	adaptability	adaptability	NOUN
fcis-17466	235	47	of	of	ADP
fcis-17466	235	48	the	the	DET
fcis-17466	235	49	policies	policy	NOUN
fcis-17466	235	50	,	,	PUNCT
fcis-17466	235	51	to	to	PART
fcis-17466	235	52	ensure	ensure	VERB
fcis-17466	235	53	early	early	ADJ
fcis-17466	235	54	response	response	NOUN
fcis-17466	235	55	capability	capability	NOUN
fcis-17466	235	56	,	,	PUNCT
fcis-17466	235	57	and	and	CCONJ
fcis-17466	235	58	to	to	PART
fcis-17466	235	59	mitigate	mitigate	VERB
fcis-17466	235	60	the	the	DET
fcis-17466	235	61	potential	potential	ADJ
fcis-17466	235	62	risks	risk	NOUN
fcis-17466	235	63	of	of	ADP
fcis-17466	235	64	climate	climate	NOUN
fcis-17466	235	65	change	change	NOUN
fcis-17466	235	66	.	.	PUNCT
fcis-17466	236	1	6	6	X
fcis-17466	236	2	.	.	X
fcis-17466	236	3	discussion	discussion	NOUN
fcis-17466	236	4	the	the	DET
fcis-17466	236	5	study	study	NOUN
fcis-17466	236	6	highlights	highlight	VERB
fcis-17466	236	7	the	the	DET
fcis-17466	236	8	potential	potential	NOUN
fcis-17466	236	9	of	of	ADP
fcis-17466	236	10	utilizing	utilize	VERB
fcis-17466	236	11	deep	deep	ADJ
fcis-17466	236	12	learning	learning	NOUN
fcis-17466	236	13	and	and	CCONJ
fcis-17466	236	14	machine	machine	NOUN
fcis-17466	236	15	learning	learning	NOUN
fcis-17466	236	16	models	model	NOUN
fcis-17466	236	17	in	in	ADP
fcis-17466	236	18	the	the	DET
fcis-17466	236	19	field	field	NOUN
fcis-17466	236	20	of	of	ADP
fcis-17466	236	21	climate	climate	NOUN
fcis-17466	236	22	change	change	NOUN
fcis-17466	236	23	and	and	CCONJ
fcis-17466	236	24	energy	energy	NOUN
fcis-17466	236	25	consumption	consumption	NOUN
fcis-17466	236	26	growth	growth	NOUN
fcis-17466	236	27	prediction	prediction	NOUN
fcis-17466	236	28	and	and	CCONJ
fcis-17466	236	29	the	the	DET
fcis-17466	236	30	insights	insight	NOUN
fcis-17466	236	31	these	these	DET
fcis-17466	236	32	tools	tool	NOUN
fcis-17466	236	33	can	can	AUX
fcis-17466	236	34	bring	bring	VERB
fcis-17466	236	35	.	.	PUNCT
fcis-17466	237	1	although	although	SCONJ
fcis-17466	237	2	the	the	DET
fcis-17466	237	3	forecasting	forecasting	NOUN
fcis-17466	237	4	models	model	NOUN
fcis-17466	237	5	and	and	CCONJ
fcis-17466	237	6	their	their	PRON
fcis-17466	237	7	results	result	NOUN
fcis-17466	237	8	presented	present	VERB
fcis-17466	237	9	exhibit	exhibit	NOUN
fcis-17466	237	10	technical	technical	ADJ
fcis-17466	237	11	advancement	advancement	NOUN
fcis-17466	237	12	and	and	CCONJ
fcis-17466	237	13	high	high	ADJ
fcis-17466	237	14	accuracy	accuracy	NOUN
fcis-17466	237	15	,	,	PUNCT
fcis-17466	237	16	this	this	PRON
fcis-17466	237	17	does	do	AUX
fcis-17466	237	18	not	not	PART
fcis-17466	237	19	guarantee	guarantee	VERB
fcis-17466	237	20	their	their	PRON
fcis-17466	237	21	future	future	ADJ
fcis-17466	237	22	predictive	predictive	ADJ
fcis-17466	237	23	accuracy	accuracy	NOUN
fcis-17466	237	24	due	due	ADP
fcis-17466	237	25	to	to	ADP
fcis-17466	237	26	the	the	DET
fcis-17466	237	27	intrinsic	intrinsic	ADJ
fcis-17466	237	28	complexity	complexity	NOUN
fcis-17466	237	29	and	and	CCONJ
fcis-17466	237	30	uncertainty	uncertainty	NOUN
fcis-17466	237	31	of	of	ADP
fcis-17466	237	32	weather	weather	NOUN
fcis-17466	237	33	and	and	CCONJ
fcis-17466	237	34	climate	climate	NOUN
fcis-17466	237	35	systems	system	NOUN
fcis-17466	237	36	.	.	PUNCT
fcis-17466	238	1	likewise	likewise	ADV
fcis-17466	238	2	,	,	PUNCT
fcis-17466	238	3	the	the	DET
fcis-17466	238	4	precision	precision	NOUN
fcis-17466	238	5	of	of	ADP
fcis-17466	238	6	model	model	NOUN
fcis-17466	238	7	forecasts	forecast	NOUN
fcis-17466	238	8	is	be	AUX
fcis-17466	238	9	constrained	constrain	VERB
fcis-17466	238	10	by	by	ADP
fcis-17466	238	11	the	the	DET
fcis-17466	238	12	quality	quality	NOUN
fcis-17466	238	13	of	of	ADP
fcis-17466	238	14	historical	historical	ADJ
fcis-17466	238	15	data	datum	NOUN
fcis-17466	238	16	,	,	PUNCT
fcis-17466	238	17	the	the	DET
fcis-17466	238	18	accuracy	accuracy	NOUN
fcis-17466	238	19	of	of	ADP
fcis-17466	238	20	quantifying	quantify	VERB
fcis-17466	238	21	model	model	NOUN
fcis-17466	238	22	input	input	NOUN
fcis-17466	238	23	parameters	parameter	NOUN
fcis-17466	238	24	,	,	PUNCT
fcis-17466	238	25	and	and	CCONJ
fcis-17466	238	26	the	the	DET
fcis-17466	238	27	assumptions	assumption	NOUN
fcis-17466	238	28	within	within	ADP
fcis-17466	238	29	the	the	DET
fcis-17466	238	30	models	model	NOUN
fcis-17466	238	31	themselves	themselves	PRON
fcis-17466	238	32	.	.	PUNCT
fcis-17466	239	1	to	to	PART
fcis-17466	239	2	improve	improve	VERB
fcis-17466	239	3	the	the	DET
fcis-17466	239	4	reliability	reliability	NOUN
fcis-17466	239	5	of	of	ADP
fcis-17466	239	6	future	future	ADJ
fcis-17466	239	7	predictions	prediction	NOUN
fcis-17466	239	8	,	,	PUNCT
fcis-17466	239	9	continuous	continuous	ADJ
fcis-17466	239	10	model	model	NOUN
fcis-17466	239	11	validation	validation	NOUN
fcis-17466	239	12	,	,	PUNCT
fcis-17466	239	13	updates	update	NOUN
fcis-17466	239	14	,	,	PUNCT
fcis-17466	239	15	and	and	CCONJ
fcis-17466	239	16	refinement	refinement	NOUN
fcis-17466	239	17	are	be	AUX
fcis-17466	239	18	necessary	necessary	ADJ
fcis-17466	239	19	.	.	PUNCT
fcis-17466	240	1	additionally	additionally	ADV
fcis-17466	240	2	,	,	PUNCT
fcis-17466	240	3	the	the	DET
fcis-17466	240	4	classification	classification	NOUN
fcis-17466	240	5	of	of	ADP
fcis-17466	240	6	emission	emission	NOUN
fcis-17466	240	7	growth	growth	NOUN
fcis-17466	240	8	rates	rate	NOUN
fcis-17466	240	9	and	and	CCONJ
fcis-17466	240	10	the	the	DET
fcis-17466	240	11	establishment	establishment	NOUN
fcis-17466	240	12	of	of	ADP
fcis-17466	240	13	warning	warning	NOUN
fcis-17466	240	14	indicators	indicator	NOUN
fcis-17466	240	15	require	require	VERB
fcis-17466	240	16	further	further	ADJ
fcis-17466	240	17	exploration	exploration	NOUN
fcis-17466	240	18	and	and	CCONJ
fcis-17466	240	19	optimization	optimization	NOUN
fcis-17466	240	20	to	to	PART
fcis-17466	240	21	ensure	ensure	VERB
fcis-17466	240	22	the	the	DET
fcis-17466	240	23	effectiveness	effectiveness	NOUN
fcis-17466	240	24	and	and	CCONJ
fcis-17466	240	25	adaptability	adaptability	NOUN
fcis-17466	240	26	of	of	ADP
fcis-17466	240	27	the	the	DET
fcis-17466	240	28	warning	warning	NOUN
fcis-17466	240	29	system	system	NOUN
fcis-17466	240	30	categories	category	NOUN
fcis-17466	240	31	and	and	CCONJ
fcis-17466	240	32	threshold	threshold	NOUN
fcis-17466	240	33	settings	setting	NOUN
fcis-17466	240	34	.	.	PUNCT
fcis-17466	241	1	furthermore	furthermore	ADV
fcis-17466	241	2	,	,	PUNCT
fcis-17466	241	3	in	in	ADP
fcis-17466	241	4	the	the	DET
fcis-17466	241	5	face	face	NOUN
fcis-17466	241	6	of	of	ADP
fcis-17466	241	7	the	the	DET
fcis-17466	241	8	uncertainty	uncertainty	NOUN
fcis-17466	241	9	of	of	ADP
fcis-17466	241	10	future	future	ADJ
fcis-17466	241	11	climate	climate	NOUN
fcis-17466	241	12	risks	risk	NOUN
fcis-17466	241	13	,	,	PUNCT
fcis-17466	241	14	the	the	DET
fcis-17466	241	15	study	study	NOUN
fcis-17466	241	16	encourages	encourage	VERB
fcis-17466	241	17	intensified	intensify	VERB
fcis-17466	241	18	interdisciplinary	interdisciplinary	ADJ
fcis-17466	241	19	cooperation	cooperation	NOUN
fcis-17466	241	20	,	,	PUNCT
fcis-17466	241	21	integrating	integrate	VERB
fcis-17466	241	22	knowledge	knowledge	NOUN
fcis-17466	241	23	and	and	CCONJ
fcis-17466	241	24	technologies	technology	NOUN
fcis-17466	241	25	from	from	ADP
fcis-17466	241	26	the	the	DET
fcis-17466	241	27	fields	field	NOUN
fcis-17466	241	28	of	of	ADP
fcis-17466	241	29	climate	climate	NOUN
fcis-17466	241	30	science	science	NOUN
fcis-17466	241	31	,	,	PUNCT
fcis-17466	241	32	environmental	environmental	ADJ
fcis-17466	241	33	economics	economic	NOUN
fcis-17466	241	34	,	,	PUNCT
fcis-17466	241	35	and	and	CCONJ
fcis-17466	241	36	social	social	ADJ
fcis-17466	241	37	policy	policy	NOUN
fcis-17466	241	38	,	,	PUNCT
fcis-17466	241	39	to	to	PART
fcis-17466	241	40	formulate	formulate	VERB
fcis-17466	241	41	more	more	ADV
fcis-17466	241	42	comprehensive	comprehensive	ADJ
fcis-17466	241	43	and	and	CCONJ
fcis-17466	241	44	precise	precise	ADJ
fcis-17466	241	45	early	early	ADJ
fcis-17466	241	46	warning	warning	NOUN
fcis-17466	241	47	systems	system	NOUN
fcis-17466	241	48	.	.	PUNCT
fcis-17466	242	1	the	the	DET
fcis-17466	242	2	goal	goal	NOUN
fcis-17466	242	3	is	be	AUX
fcis-17466	242	4	to	to	PART
fcis-17466	242	5	provide	provide	VERB
fcis-17466	242	6	solid	solid	ADJ
fcis-17466	242	7	scientific	scientific	ADJ
fcis-17466	242	8	19	19	NUM
fcis-17466	242	9	foundations	foundation	NOUN
fcis-17466	242	10	and	and	CCONJ
fcis-17466	242	11	decision	decision	NOUN
fcis-17466	242	12	-	-	PUNCT
fcis-17466	242	13	making	make	VERB
fcis-17466	242	14	support	support	NOUN
fcis-17466	242	15	for	for	ADP
fcis-17466	242	16	global	global	ADJ
fcis-17466	242	17	climate	climate	NOUN
fcis-17466	242	18	governance	governance	NOUN
fcis-17466	242	19	and	and	CCONJ
fcis-17466	242	20	sustainable	sustainable	ADJ
fcis-17466	242	21	energy	energy	NOUN
fcis-17466	242	22	transition	transition	NOUN
fcis-17466	242	23	through	through	ADP
fcis-17466	242	24	multifaceted	multifaceted	ADJ
fcis-17466	242	25	,	,	PUNCT
fcis-17466	242	26	systematic	systematic	ADJ
fcis-17466	242	27	efforts	effort	NOUN
fcis-17466	242	28	.	.	PUNCT
fcis-17466	243	1	this	this	DET
fcis-17466	243	2	paper	paper	NOUN
fcis-17466	243	3	also	also	ADV
fcis-17466	243	4	has	have	VERB
fcis-17466	243	5	several	several	ADJ
fcis-17466	243	6	shortcomings	shortcoming	NOUN
fcis-17466	243	7	,	,	PUNCT
fcis-17466	243	8	including	include	VERB
fcis-17466	243	9	not	not	PART
fcis-17466	243	10	considering	consider	VERB
fcis-17466	243	11	other	other	ADJ
fcis-17466	243	12	factors	factor	NOUN
fcis-17466	243	13	affecting	affect	VERB
fcis-17466	243	14	climate	climate	NOUN
fcis-17466	243	15	change	change	NOUN
fcis-17466	243	16	and	and	CCONJ
fcis-17466	243	17	not	not	PART
fcis-17466	243	18	performing	perform	VERB
fcis-17466	243	19	a	a	DET
fcis-17466	243	20	global	global	ADJ
fcis-17466	243	21	optimization	optimization	NOUN
fcis-17466	243	22	of	of	ADP
fcis-17466	243	23	the	the	DET
fcis-17466	243	24	parameters	parameter	NOUN
fcis-17466	243	25	for	for	ADP
fcis-17466	243	26	the	the	DET
fcis-17466	243	27	bilstm	bilstm	NOUN
fcis-17466	243	28	model	model	NOUN
fcis-17466	243	29	.	.	PUNCT
fcis-17466	244	1	future	future	ADJ
fcis-17466	244	2	research	research	NOUN
fcis-17466	244	3	may	may	AUX
fcis-17466	244	4	further	far	ADV
fcis-17466	244	5	optimize	optimize	VERB
fcis-17466	244	6	the	the	DET
fcis-17466	244	7	bilstm	bilstm	NOUN
fcis-17466	244	8	algorithm	algorithm	NOUN
fcis-17466	244	9	or	or	CCONJ
fcis-17466	244	10	continue	continue	VERB
fcis-17466	244	11	developing	develop	VERB
fcis-17466	244	12	the	the	DET
fcis-17466	244	13	early	early	ADJ
fcis-17466	244	14	warning	warning	NOUN
fcis-17466	244	15	system	system	NOUN
fcis-17466	244	16	.	.	PUNCT
fcis-17466	245	1	acknowledgments	acknowledgment	NOUN
fcis-17466	245	2	this	this	DET
fcis-17466	245	3	paper	paper	NOUN
fcis-17466	245	4	is	be	AUX
fcis-17466	245	5	grateful	grateful	ADJ
fcis-17466	245	6	for	for	ADP
fcis-17466	245	7	the	the	DET
fcis-17466	245	8	funding	funding	NOUN
fcis-17466	245	9	of	of	ADP
fcis-17466	245	10	the	the	DET
fcis-17466	245	11	undergraduate	undergraduate	ADJ
fcis-17466	245	12	research	research	NOUN
fcis-17466	245	13	and	and	CCONJ
fcis-17466	245	14	innovation	innovation	NOUN
fcis-17466	245	15	fund	fund	NOUN
fcis-17466	245	16	of	of	ADP
fcis-17466	245	17	anhui	anhui	PROPN
fcis-17466	245	18	university	university	PROPN
fcis-17466	245	19	of	of	ADP
fcis-17466	245	20	finance	finance	PROPN
fcis-17466	245	21	and	and	CCONJ
fcis-17466	245	22	economics	economic	NOUN
fcis-17466	245	23	"	"	PUNCT
fcis-17466	245	24	research	research	NOUN
fcis-17466	245	25	on	on	ADP
fcis-17466	245	26	the	the	DET
fcis-17466	245	27	rational	rational	ADJ
fcis-17466	245	28	allocation	allocation	NOUN
fcis-17466	245	29	of	of	ADP
fcis-17466	245	30	energy	energy	NOUN
fcis-17466	245	31	resources	resource	NOUN
fcis-17466	245	32	in	in	ADP
fcis-17466	245	33	the	the	DET
fcis-17466	245	34	context	context	NOUN
fcis-17466	245	35	of	of	ADP
fcis-17466	245	36	climate	climate	NOUN
fcis-17466	245	37	security	security	NOUN
fcis-17466	245	38	"	"	PUNCT
fcis-17466	245	39	(	(	PUNCT
fcis-17466	245	40	xsky23229	xsky23229	PROPN
fcis-17466	245	41	)	)	PUNCT
fcis-17466	245	42	.	.	PUNCT
fcis-17466	246	1	we	we	PRON
fcis-17466	246	2	also	also	ADV
fcis-17466	246	3	extend	extend	VERB
fcis-17466	246	4	our	our	PRON
fcis-17466	246	5	thanks	thank	NOUN
fcis-17466	246	6	to	to	ADP
fcis-17466	246	7	xin	xin	PROPN
fcis-17466	246	8	zhao	zhao	PROPN
fcis-17466	246	9	for	for	ADP
fcis-17466	246	10	his	his	PRON
fcis-17466	246	11	guidance	guidance	NOUN
fcis-17466	246	12	,	,	PUNCT
fcis-17466	246	13	expertise	expertise	NOUN
fcis-17466	246	14	,	,	PUNCT
fcis-17466	246	15	and	and	CCONJ
fcis-17466	246	16	encouragement	encouragement	NOUN
fcis-17466	246	17	throughout	throughout	ADP
fcis-17466	246	18	the	the	DET
fcis-17466	246	19	research	research	NOUN
fcis-17466	246	20	process	process	NOUN
fcis-17466	246	21	.	.	PUNCT
fcis-17466	247	1	their	their	PRON
fcis-17466	247	2	insights	insight	NOUN
fcis-17466	247	3	and	and	CCONJ
fcis-17466	247	4	suggestions	suggestion	NOUN
fcis-17466	247	5	have	have	AUX
fcis-17466	247	6	been	be	AUX
fcis-17466	247	7	invaluable	invaluable	ADJ
fcis-17466	247	8	in	in	ADP
fcis-17466	247	9	shaping	shape	VERB
fcis-17466	247	10	the	the	DET
fcis-17466	247	11	direction	direction	NOUN
fcis-17466	247	12	of	of	ADP
fcis-17466	247	13	this	this	DET
fcis-17466	247	14	study	study	NOUN
fcis-17466	247	15	.	.	PUNCT
fcis-17466	248	1	furthermore	furthermore	ADV
fcis-17466	248	2	,	,	PUNCT
fcis-17466	248	3	we	we	PRON
fcis-17466	248	4	appreciate	appreciate	VERB
fcis-17466	248	5	the	the	DET
fcis-17466	248	6	assistance	assistance	NOUN
fcis-17466	248	7	and	and	CCONJ
fcis-17466	248	8	cooperation	cooperation	NOUN
fcis-17466	248	9	of	of	ADP
fcis-17466	248	10	anhui	anhui	PROPN
fcis-17466	248	11	university	university	PROPN
fcis-17466	248	12	of	of	ADP
fcis-17466	248	13	finance	finance	NOUN
fcis-17466	248	14	and	and	CCONJ
fcis-17466	248	15	economics	economic	NOUN
fcis-17466	248	16	who	who	PRON
fcis-17466	248	17	provided	provide	VERB
fcis-17466	248	18	resources	resource	NOUN
fcis-17466	248	19	,	,	PUNCT
fcis-17466	248	20	data	datum	NOUN
fcis-17466	248	21	,	,	PUNCT
fcis-17466	248	22	and	and	CCONJ
fcis-17466	248	23	assistance	assistance	NOUN
fcis-17466	248	24	that	that	PRON
fcis-17466	248	25	were	be	AUX
fcis-17466	248	26	essential	essential	ADJ
fcis-17466	248	27	to	to	ADP
fcis-17466	248	28	the	the	DET
fcis-17466	248	29	success	success	NOUN
fcis-17466	248	30	of	of	ADP
fcis-17466	248	31	this	this	DET
fcis-17466	248	32	project	project	NOUN
fcis-17466	248	33	.	.	PUNCT
fcis-17466	249	1	lastly	lastly	ADV
fcis-17466	249	2	,	,	PUNCT
fcis-17466	249	3	we	we	PRON
fcis-17466	249	4	are	be	AUX
fcis-17466	249	5	grateful	grateful	ADJ
fcis-17466	249	6	to	to	ADP
fcis-17466	249	7	our	our	PRON
fcis-17466	249	8	families	family	NOUN
fcis-17466	249	9	,	,	PUNCT
fcis-17466	249	10	friends	friend	NOUN
fcis-17466	249	11	,	,	PUNCT
fcis-17466	249	12	and	and	CCONJ
fcis-17466	249	13	colleagues	colleague	NOUN
fcis-17466	249	14	for	for	ADP
fcis-17466	249	15	their	their	PRON
fcis-17466	249	16	unwavering	unwavering	ADJ
fcis-17466	249	17	support	support	NOUN
fcis-17466	249	18	and	and	CCONJ
fcis-17466	249	19	understanding	understanding	NOUN
fcis-17466	249	20	during	during	ADP
fcis-17466	249	21	the	the	DET
fcis-17466	249	22	course	course	NOUN
fcis-17466	249	23	of	of	ADP
fcis-17466	249	24	this	this	DET
fcis-17466	249	25	research	research	NOUN
fcis-17466	249	26	endeavor	endeavor	NOUN
fcis-17466	249	27	.	.	PUNCT
fcis-17466	250	1	thank	thank	VERB
fcis-17466	250	2	you	you	PRON
fcis-17466	250	3	to	to	ADP
fcis-17466	250	4	all	all	PRON
fcis-17466	250	5	who	who	PRON
fcis-17466	250	6	have	have	AUX
fcis-17466	250	7	contributed	contribute	VERB
fcis-17466	250	8	to	to	ADP
fcis-17466	250	9	the	the	DET
fcis-17466	250	10	completion	completion	NOUN
fcis-17466	250	11	of	of	ADP
fcis-17466	250	12	this	this	DET
fcis-17466	250	13	research	research	NOUN
fcis-17466	250	14	project	project	NOUN
fcis-17466	250	15	.	.	PUNCT
fcis-17466	251	1	references	reference	NOUN
fcis-17466	251	2	[	[	X
fcis-17466	251	3	1	1	NUM
fcis-17466	251	4	]	]	PUNCT
fcis-17466	251	5	seinfeld	seinfeld	PROPN
fcis-17466	251	6	jh	jh	PROPN
fcis-17466	251	7	.	.	PUNCT
fcis-17466	252	1	“	"	PUNCT
fcis-17466	252	2	insights	insight	NOUN
fcis-17466	252	3	on	on	ADP
fcis-17466	252	4	global	global	ADJ
fcis-17466	252	5	warming	warming	NOUN
fcis-17466	252	6	,	,	PUNCT
fcis-17466	252	7	”	"	PUNCT
fcis-17466	252	8	aiche	aiche	PROPN
fcis-17466	252	9	journal	journal	PROPN
fcis-17466	252	10	2011	2011	NUM
fcis-17466	252	11	,	,	PUNCT
fcis-17466	252	12	vol	vol	NOUN
fcis-17466	252	13	.	.	PROPN
fcis-17466	252	14	57	57	NUM
fcis-17466	252	15	,	,	PUNCT
fcis-17466	252	16	no	no	INTJ
fcis-17466	252	17	.	.	NOUN
fcis-17466	252	18	12	12	NUM
fcis-17466	252	19	,	,	PUNCT
fcis-17466	252	20	pp	pp	ADJ
fcis-17466	252	21	.	.	PUNCT
fcis-17466	252	22	3259	3259	NUM
fcis-17466	252	23	-	-	SYM
fcis-17466	252	24	3284	3284	NUM
fcis-17466	252	25	.	.	PUNCT
fcis-17466	253	1	doi	doi	NOUN
fcis-17466	253	2	:	:	PUNCT
fcis-17466	253	3	10	10	NUM
fcis-17466	253	4	.	.	X
fcis-17466	253	5	1002	1002	NUM
fcis-17466	253	6	/	/	SYM
fcis-17466	253	7	aic.12780	aic.12780	PROPN
fcis-17466	253	8	.	.	PUNCT
fcis-17466	254	1	[	[	X
fcis-17466	254	2	2	2	NUM
fcis-17466	254	3	]	]	X
fcis-17466	254	4	andrew	andrew	PROPN
fcis-17466	254	5	am	be	AUX
fcis-17466	254	6	.	.	PUNCT
fcis-17466	255	1	“	"	PUNCT
fcis-17466	255	2	second	second	ADJ
fcis-17466	255	3	thoughts	thought	NOUN
fcis-17466	255	4	on	on	ADP
fcis-17466	255	5	global	global	ADJ
fcis-17466	255	6	warming	warming	NOUN
fcis-17466	255	7	,	,	PUNCT
fcis-17466	255	8	”	"	PUNCT
fcis-17466	255	9	kybernetes	kybernete	NOUN
fcis-17466	255	10	2011	2011	NUM
fcis-17466	255	11	,	,	PUNCT
fcis-17466	255	12	vol	vol	NOUN
fcis-17466	255	13	.	.	PROPN
fcis-17466	255	14	40	40	NUM
fcis-17466	255	15	,	,	PUNCT
fcis-17466	255	16	no	no	INTJ
fcis-17466	255	17	.	.	NOUN
fcis-17466	255	18	1	1	NUM
fcis-17466	255	19	-	-	SYM
fcis-17466	255	20	2	2	NUM
fcis-17466	255	21	,	,	PUNCT
fcis-17466	255	22	pp	pp	ADJ
fcis-17466	255	23	.	.	PUNCT
fcis-17466	256	1	327	327	NUM
fcis-17466	256	2	-	-	SYM
fcis-17466	256	3	329	329	NUM
fcis-17466	256	4	.	.	PUNCT
fcis-17466	257	1	doi	doi	NOUN
fcis-17466	257	2	:	:	PUNCT
fcis-17466	257	3	10.1108/03684921111118077	10.1108/03684921111118077	NUM
fcis-17466	257	4	.	.	PUNCT
fcis-17466	258	1	[	[	X
fcis-17466	258	2	3	3	X
fcis-17466	258	3	]	]	PUNCT
fcis-17466	258	4	trenberth	trenberth	ADV
fcis-17466	258	5	ke	ke	PROPN
fcis-17466	258	6	,	,	PUNCT
fcis-17466	258	7	fasullo	fasullo	PROPN
fcis-17466	258	8	jt	jt	PROPN
fcis-17466	258	9	.	.	PUNCT
fcis-17466	259	1	“	"	PUNCT
fcis-17466	259	2	an	an	DET
fcis-17466	259	3	apparent	apparent	ADJ
fcis-17466	259	4	hiatus	hiatus	NOUN
fcis-17466	259	5	in	in	ADP
fcis-17466	259	6	global	global	ADJ
fcis-17466	259	7	warming	warming	NOUN
fcis-17466	259	8	?	?	PUNCT
fcis-17466	259	9	”	"	PUNCT
fcis-17466	259	10	earths	earth	NOUN
fcis-17466	259	11	future	future	ADJ
fcis-17466	259	12	2013	2013	NUM
fcis-17466	259	13	,	,	PUNCT
fcis-17466	259	14	vol	vol	NOUN
fcis-17466	259	15	.	.	PROPN
fcis-17466	260	1	1	1	NUM
fcis-17466	260	2	,	,	PUNCT
fcis-17466	260	3	no	no	INTJ
fcis-17466	260	4	.	.	NOUN
fcis-17466	260	5	1	1	NUM
fcis-17466	260	6	,	,	PUNCT
fcis-17466	260	7	pp	pp	ADJ
fcis-17466	260	8	.	.	PUNCT
fcis-17466	261	1	19	19	NUM
fcis-17466	261	2	-	-	SYM
fcis-17466	261	3	32	32	NUM
fcis-17466	261	4	.	.	PUNCT
fcis-17466	262	1	doi	doi	NOUN
fcis-17466	262	2	:	:	PUNCT
fcis-17466	262	3	10.1002/2013ef000165	10.1002/2013ef000165	X
fcis-17466	262	4	.	.	PUNCT
fcis-17466	263	1	[	[	X
fcis-17466	263	2	4	4	X
fcis-17466	263	3	]	]	X
fcis-17466	263	4	salm	salm	PROPN
fcis-17466	263	5	l	l	PROPN
fcis-17466	263	6	,	,	PUNCT
fcis-17466	263	7	nisbett	nisbett	PROPN
fcis-17466	263	8	n	n	PROPN
fcis-17466	263	9	,	,	PUNCT
fcis-17466	263	10	cramer	cramer	PROPN
fcis-17466	263	11	l	l	PROPN
fcis-17466	263	12	et	et	PROPN
fcis-17466	263	13	al	al	PROPN
fcis-17466	263	14	.	.	PUNCT
fcis-17466	264	1	“	"	PUNCT
fcis-17466	264	2	how	how	SCONJ
fcis-17466	264	3	climate	climate	NOUN
fcis-17466	264	4	change	change	NOUN
fcis-17466	264	5	interacts	interact	VERB
fcis-17466	264	6	with	with	ADP
fcis-17466	264	7	inequity	inequity	NOUN
fcis-17466	264	8	to	to	PART
fcis-17466	264	9	affect	affect	VERB
fcis-17466	264	10	nutrition	nutrition	NOUN
fcis-17466	264	11	.	.	PUNCT
fcis-17466	264	12	”	"	PUNCT
fcis-17466	265	1	wiley	wiley	PROPN
fcis-17466	265	2	interdisciplinary	interdisciplinary	ADJ
fcis-17466	265	3	reviews	review	NOUN
fcis-17466	265	4	-	-	PUNCT
fcis-17466	265	5	climate	climate	NOUN
fcis-17466	265	6	change	change	NOUN
fcis-17466	265	7	2021	2021	NUM
fcis-17466	265	8	,	,	PUNCT
fcis-17466	265	9	vol	vol	NOUN
fcis-17466	265	10	.	.	PROPN
fcis-17466	265	11	12	12	NUM
fcis-17466	265	12	,	,	PUNCT
fcis-17466	265	13	no	no	INTJ
fcis-17466	265	14	.	.	NOUN
fcis-17466	265	15	2	2	NUM
fcis-17466	265	16	,	,	PUNCT
fcis-17466	265	17	pp	pp	ADJ
fcis-17466	265	18	.	.	PUNCT
fcis-17466	266	1	e696	e696	X
fcis-17466	266	2	.	.	PUNCT
fcis-17466	266	3	doi	doi	NOUN
fcis-17466	266	4	:	:	PUNCT
fcis-17466	266	5	10.1002	10.1002	NUM
fcis-17466	266	6	/	/	SYM
fcis-17466	266	7	wcc.696	wcc.696	NOUN
fcis-17466	266	8	.	.	PUNCT
fcis-17466	267	1	[	[	X
fcis-17466	267	2	5	5	X
fcis-17466	267	3	]	]	X
fcis-17466	267	4	yang	yang	PROPN
fcis-17466	267	5	jc	jc	PROPN
fcis-17466	267	6	,	,	PUNCT
fcis-17466	267	7	huo	huo	PROPN
fcis-17466	267	8	jm	jm	PROPN
fcis-17466	267	9	,	,	PUNCT
fcis-17466	267	10	he	he	PRON
fcis-17466	267	11	jy	jy	PROPN
fcis-17466	267	12	et	et	PROPN
fcis-17466	267	13	al	al	PROPN
fcis-17466	267	14	.	.	PUNCT
fcis-17466	268	1	“	"	PUNCT
fcis-17466	268	2	a	a	DET
fcis-17466	268	3	dbulstm	dbulstm	NOUN
fcis-17466	268	4	-	-	PUNCT
fcis-17466	268	5	adaboost	adaboost	ADJ
fcis-17466	268	6	model	model	NOUN
fcis-17466	268	7	for	for	ADP
fcis-17466	268	8	sea	sea	NOUN
fcis-17466	268	9	surface	surface	NOUN
fcis-17466	268	10	temperature	temperature	NOUN
fcis-17466	268	11	prediction	prediction	NOUN
fcis-17466	268	12	.	.	PUNCT
fcis-17466	268	13	”	"	PUNCT
fcis-17466	269	1	peerj	peerj	PROPN
fcis-17466	269	2	computer	computer	NOUN
fcis-17466	269	3	science	science	NOUN
fcis-17466	269	4	2022	2022	NUM
fcis-17466	269	5	,	,	PUNCT
fcis-17466	269	6	vol	vol	NOUN
fcis-17466	269	7	.	.	NOUN
fcis-17466	269	8	8	8	NUM
fcis-17466	269	9	,	,	PUNCT
fcis-17466	269	10	pp	pp	PROPN
fcis-17466	269	11	.	.	PUNCT
fcis-17466	269	12	e1095	e1095	NOUN
fcis-17466	269	13	.	.	PUNCT
fcis-17466	270	1	doi	doi	NOUN
fcis-17466	270	2	:	:	PUNCT
fcis-17466	270	3	10	10	NUM
fcis-17466	270	4	.	.	X
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fcis-17466	271	3	-	-	PUNCT
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fcis-17466	275	2	-	-	PUNCT
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fcis-17466	275	4	.	.	PUNCT
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fcis-17466	276	8	.	.	PUNCT
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fcis-17466	277	2	.	.	PUNCT
fcis-17466	278	1	[	[	X
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fcis-17466	278	17	.	.	PUNCT
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fcis-17466	279	15	,	,	PUNCT
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fcis-17466	279	17	.	.	PROPN
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fcis-17466	279	19	,	,	PUNCT
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fcis-17466	279	23	,	,	PUNCT
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fcis-17466	279	25	.	.	PUNCT
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fcis-17466	280	2	-	-	SYM
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fcis-17466	280	4	.	.	PUNCT
fcis-17466	281	1	doi	doi	NOUN
fcis-17466	281	2	:	:	PUNCT
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fcis-17466	282	6	,	,	PUNCT
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fcis-17466	282	10	“	"	PUNCT
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fcis-17466	282	18	.	.	PUNCT
fcis-17466	282	19	”	"	PUNCT
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fcis-17466	282	24	,	,	PUNCT
fcis-17466	282	25	vol	vol	NOUN
fcis-17466	282	26	.	.	PROPN
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fcis-17466	282	28	,	,	PUNCT
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fcis-17466	282	30	.	.	PUNCT
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fcis-17466	283	2	-	-	SYM
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fcis-17466	283	4	.	.	PUNCT
fcis-17466	284	1	doi	doi	NOUN
fcis-17466	284	2	:	:	PUNCT
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fcis-17466	284	4	/	/	SYM
fcis-17466	284	5	j.	j.	PROPN
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fcis-17466	284	7	.	.	PUNCT
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fcis-17466	284	9	.	.	PUNCT
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fcis-17466	285	2	.	.	X
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fcis-17466	285	4	.	.	PUNCT
fcis-17466	286	1	[	[	X
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fcis-17466	287	11	.	.	PUNCT
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fcis-17466	288	3	,	,	PUNCT
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fcis-17466	288	7	,	,	PUNCT
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fcis-17466	288	11	,	,	PUNCT
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fcis-17466	288	13	.	.	PUNCT
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fcis-17466	288	15	.	.	PUNCT
fcis-17466	289	1	doi	doi	NOUN
fcis-17466	289	2	:	:	PUNCT
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fcis-17466	289	4	en	en	ADP
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fcis-17466	289	6	.	.	PUNCT
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fcis-17466	291	1	“	"	PUNCT
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fcis-17466	291	11	.	.	PUNCT
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fcis-17466	291	20	,	,	PUNCT
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fcis-17466	291	22	.	.	PROPN
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fcis-17466	292	2	.	.	X
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fcis-17466	292	4	:	:	PUNCT
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fcis-17466	294	1	“	"	PUNCT
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fcis-17466	294	16	.	.	PUNCT
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fcis-17466	295	4	,	,	PUNCT
fcis-17466	295	5	vol	vol	NOUN
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fcis-17466	295	14	.	.	PUNCT
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fcis-17466	296	2	.	.	PUNCT
fcis-17466	297	1	doi	doi	NOUN
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fcis-17466	297	6	.	.	PUNCT
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fcis-17466	299	1	“	"	PUNCT
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fcis-17466	299	35	.	.	PUNCT
fcis-17466	300	1	doi	doi	NOUN
fcis-17466	300	2	:	:	PUNCT
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fcis-17466	300	8	-	-	PUNCT
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fcis-17466	300	10	-	-	PUNCT
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fcis-17466	300	12	.	.	PUNCT
fcis-17466	301	1	[	[	X
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fcis-17466	302	1	“	"	PUNCT
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fcis-17466	303	13	,	,	PUNCT
fcis-17466	303	14	vol	vol	NOUN
fcis-17466	303	15	.	.	NOUN
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fcis-17466	303	19	.	.	PUNCT
fcis-17466	303	20	105263	105263	NUM
fcis-17466	303	21	.	.	PUNCT
fcis-17466	304	1	doi	doi	NOUN
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fcis-17466	306	1	“	"	PUNCT
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fcis-17466	306	17	marine	marine	PROPN
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fcis-17466	306	21	2023	2023	NUM
fcis-17466	306	22	,	,	PUNCT
fcis-17466	306	23	vol	vol	NOUN
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fcis-17466	306	26	,	,	PUNCT
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fcis-17466	306	30	,	,	PUNCT
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fcis-17466	306	32	.	.	PUNCT
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fcis-17466	306	34	.	.	PUNCT
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fcis-17466	309	1	“	"	PUNCT
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fcis-17466	310	4	,	,	PUNCT
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fcis-17466	311	2	,	,	PUNCT
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fcis-17466	311	6	,	,	PUNCT
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fcis-17466	311	8	.	.	PUNCT
fcis-17466	312	1	958	958	X
fcis-17466	312	2	.	.	PUNCT
fcis-17466	313	1	doi	doi	NOUN
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fcis-17466	313	5	rs14040958	rs14040958	ADJ
fcis-17466	313	6	.	.	PUNCT
fcis-17466	314	1	[	[	X
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fcis-17466	314	12	.	.	PUNCT
fcis-17466	315	1	“	"	PUNCT
fcis-17466	315	2	bilstm	bilstm	NOUN
fcis-17466	315	3	-	-	PUNCT
fcis-17466	315	4	based	base	VERB
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fcis-17466	315	6	-	-	PUNCT
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fcis-17466	315	10	.	.	PUNCT
fcis-17466	315	11	”	"	PUNCT
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fcis-17466	316	2	journal	journal	NOUN
fcis-17466	316	3	of	of	ADP
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fcis-17466	316	6	,	,	PUNCT
fcis-17466	316	7	vol	vol	NOUN
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fcis-17466	316	10	,	,	PUNCT
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fcis-17466	316	16	.	.	PUNCT
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fcis-17466	316	18	.	.	PUNCT
fcis-17466	317	1	doi	doi	NOUN
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fcis-17466	317	4	(	(	PUNCT
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fcis-17466	317	8	.	.	PUNCT
fcis-17466	318	1	[	[	X
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fcis-17466	318	17	-	-	PUNCT
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fcis-17466	318	22	-	-	PUNCT
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fcis-17466	318	26	model	model	NOUN
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fcis-17466	318	31	.	.	PUNCT
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fcis-17466	318	38	,	,	PUNCT
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fcis-17466	318	52	.	.	PUNCT
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fcis-17466	319	8	-	-	PUNCT
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fcis-17466	319	10	-	-	SYM
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fcis-17466	320	1	[	[	X
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fcis-17466	320	14	.	.	PUNCT
fcis-17466	321	1	“	"	PUNCT
fcis-17466	321	2	a	a	DET
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fcis-17466	321	4	-	-	PUNCT
fcis-17466	321	5	bilstm	bilstm	NOUN
fcis-17466	321	6	-	-	PUNCT
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fcis-17466	321	13	.	.	PUNCT
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fcis-17466	321	20	,	,	PUNCT
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fcis-17466	321	22	.	.	PROPN
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fcis-17466	323	2	-	-	SYM
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fcis-17466	323	4	.	.	PUNCT
fcis-17466	324	1	doi	doi	NOUN
fcis-17466	324	2	:	:	PUNCT
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fcis-17466	324	6	-	-	PUNCT
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fcis-17466	324	8	-	-	PUNCT
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fcis-17466	324	10	-	-	PUNCT
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fcis-17466	326	13	,	,	PUNCT
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fcis-17466	328	2	-	-	SYM
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fcis-17466	328	4	.	.	PUNCT
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fcis-17466	332	2	-	-	SYM
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fcis-17466	335	1	“	"	PUNCT
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fcis-17466	335	18	,	,	PUNCT
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fcis-17466	336	8	.	.	PUNCT
fcis-17466	337	1	6863	6863	NUM
fcis-17466	337	2	-	-	SYM
fcis-17466	337	3	6876	6876	NUM
fcis-17466	337	4	.	.	PUNCT
fcis-17466	338	1	doi	doi	NOUN
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fcis-17466	339	3	]	]	PUNCT
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fcis-17466	339	9	,	,	PUNCT
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fcis-17466	340	1	“	"	PUNCT
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fcis-17466	340	4	-	-	PUNCT
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fcis-17466	340	9	an	an	DET
fcis-17466	340	10	early	early	ADJ
fcis-17466	340	11	warning	warning	NOUN
fcis-17466	340	12	signal	signal	NOUN
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fcis-17466	340	14	abrupt	abrupt	ADJ
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fcis-17466	341	4	,	,	PUNCT
fcis-17466	341	5	vol	vol	NOUN
fcis-17466	341	6	.	.	PROPN
fcis-17466	341	7	60	60	NUM
fcis-17466	341	8	,	,	PUNCT
fcis-17466	341	9	no	no	INTJ
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fcis-17466	341	11	11	11	NUM
fcis-17466	341	12	-	-	SYM
fcis-17466	341	13	12	12	NUM
fcis-17466	341	14	,	,	PUNCT
fcis-17466	341	15	pp	pp	ADJ
fcis-17466	341	16	.	.	PUNCT
fcis-17466	341	17	4133	4133	NUM
fcis-17466	341	18	-	-	SYM
fcis-17466	341	19	4143	4143	NUM
fcis-17466	341	20	.	.	PUNCT
fcis-17466	342	1	doi	doi	NOUN
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fcis-17466	342	8	-	-	PUNCT
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fcis-17466	342	10	-	-	PUNCT
fcis-17466	342	11	z.	z.	PROPN
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fcis-17466	343	2	23	23	NUM
fcis-17466	343	3	]	]	X
fcis-17466	343	4	zhang	zhang	PROPN
fcis-17466	343	5	z	z	PROPN
fcis-17466	343	6	,	,	PUNCT
fcis-17466	343	7	feng	feng	PROPN
fcis-17466	343	8	by	by	ADP
fcis-17466	343	9	,	,	PUNCT
fcis-17466	343	10	shuai	shuai	PROPN
fcis-17466	343	11	jb	jb	PROPN
fcis-17466	343	12	et	et	PROPN
fcis-17466	343	13	al	al	PROPN
fcis-17466	343	14	.	.	PUNCT
fcis-17466	344	1	“	"	PUNCT
fcis-17466	344	2	enso	enso	PROPN
fcis-17466	344	3	-	-	PUNCT
fcis-17466	344	4	climate	climate	NOUN
fcis-17466	344	5	fluctuationcrop	fluctuationcrop	NOUN
fcis-17466	344	6	yield	yield	VERB
fcis-17466	344	7	early	early	ADJ
fcis-17466	344	8	warning	warning	NOUN
fcis-17466	344	9	system	system	NOUN
fcis-17466	344	10	-	-	PUNCT
fcis-17466	344	11	a	a	DET
fcis-17466	344	12	case	case	NOUN
fcis-17466	344	13	study	study	NOUN
fcis-17466	344	14	in	in	ADP
fcis-17466	344	15	jilin	jilin	PROPN
fcis-17466	344	16	and	and	CCONJ
fcis-17466	344	17	liaoning	liaoning	PROPN
fcis-17466	344	18	province	province	NOUN
fcis-17466	344	19	in	in	ADP
fcis-17466	344	20	northeast	northeast	PROPN
fcis-17466	344	21	china	china	PROPN
fcis-17466	344	22	.	.	PUNCT
fcis-17466	344	23	”	"	PUNCT
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fcis-17466	345	2	and	and	CCONJ
fcis-17466	345	3	chemistry	chemistry	NOUN
fcis-17466	345	4	of	of	ADP
fcis-17466	345	5	the	the	DET
fcis-17466	345	6	earth	earth	NOUN
fcis-17466	345	7	2015	2015	NUM
fcis-17466	345	8	,	,	PUNCT
fcis-17466	345	9	vol	vol	NOUN
fcis-17466	345	10	.	.	PUNCT
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fcis-17466	346	2	-	-	SYM
fcis-17466	346	3	88	88	NUM
fcis-17466	346	4	,	,	PUNCT
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fcis-17466	346	6	.	.	PUNCT
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fcis-17466	347	2	-	-	SYM
fcis-17466	347	3	18	18	NUM
fcis-17466	347	4	.	.	PUNCT
fcis-17466	347	5	doi	doi	NOUN
fcis-17466	347	6	:	:	PUNCT
fcis-17466	347	7	10.1016	10.1016	NUM
fcis-17466	347	8	/	/	SYM
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fcis-17466	347	10	.	.	PUNCT
fcis-17466	348	1	[	[	X
fcis-17466	348	2	24	24	NUM
fcis-17466	348	3	]	]	X
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fcis-17466	348	5	c	c	X
fcis-17466	348	6	,	,	PUNCT
fcis-17466	348	7	martinez	martinez	PROPN
fcis-17466	348	8	gs	gs	PROPN
fcis-17466	348	9	,	,	PUNCT
fcis-17466	348	10	kendrovski	kendrovski	VERB
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fcis-17466	348	12	et	et	NOUN
fcis-17466	348	13	al	al	PROPN
fcis-17466	348	14	.	.	PUNCT
fcis-17466	349	1	“	"	PUNCT
fcis-17466	349	2	a	a	DET
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fcis-17466	349	4	integrative	integrative	ADJ
fcis-17466	349	5	perspective	perspective	NOUN
fcis-17466	349	6	on	on	ADP
fcis-17466	349	7	early	early	ADJ
fcis-17466	349	8	warning	warning	NOUN
fcis-17466	349	9	systems	system	NOUN
fcis-17466	349	10	for	for	ADP
fcis-17466	349	11	health	health	NOUN
fcis-17466	349	12	in	in	ADP
fcis-17466	349	13	the	the	DET
fcis-17466	349	14	context	context	NOUN
fcis-17466	349	15	of	of	ADP
fcis-17466	349	16	climate	climate	NOUN
fcis-17466	349	17	change	change	NOUN
fcis-17466	349	18	.	.	PUNCT
fcis-17466	349	19	”	"	PUNCT
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fcis-17466	350	3	2020	2020	NUM
fcis-17466	350	4	,	,	PUNCT
fcis-17466	350	5	vol	vol	NOUN
fcis-17466	350	6	.	.	PROPN
fcis-17466	350	7	187	187	NUM
fcis-17466	350	8	,	,	PUNCT
fcis-17466	350	9	pp	pp	ADJ
fcis-17466	350	10	.	.	PUNCT
fcis-17466	351	1	109623	109623	NUM
fcis-17466	351	2	.	.	PUNCT
fcis-17466	352	1	doi	doi	NOUN
fcis-17466	352	2	:	:	PUNCT
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fcis-17466	352	4	/	/	SYM
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fcis-17466	352	7	.	.	PUNCT
fcis-17466	353	1	2020.109623	2020.109623	NUM
fcis-17466	353	2	.	.	PUNCT
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fcis-17466	355	1	[	[	SYM
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fcis-17466	355	6	,	,	PUNCT
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fcis-17466	355	9	“	"	PUNCT
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fcis-17466	355	11	warning	warning	NOUN
fcis-17466	355	12	of	of	ADP
fcis-17466	355	13	financial	financial	ADJ
fcis-17466	355	14	risk	risk	NOUN
fcis-17466	355	15	based	base	VERB
fcis-17466	355	16	on	on	ADP
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fcis-17466	355	18	clustering	cluster	VERB
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fcis-17466	355	20	.	.	PUNCT
fcis-17466	355	21	”	"	PUNCT
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fcis-17466	356	3	,	,	PUNCT
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fcis-17466	356	5	.	.	NOUN
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fcis-17466	356	7	,	,	PUNCT
fcis-17466	356	8	pp	pp	ADJ
fcis-17466	356	9	.	.	PUNCT
fcis-17466	356	10	5571683	5571683	NUM
fcis-17466	356	11	.	.	PUNCT
fcis-17466	357	1	doi	doi	NOUN
fcis-17466	357	2	:	:	PUNCT
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fcis-17466	358	1	[	[	X
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fcis-17466	358	6	,	,	PUNCT
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fcis-17466	358	9	,	,	PUNCT
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fcis-17466	358	14	.	.	PUNCT
fcis-17466	359	1	“	"	PUNCT
fcis-17466	359	2	k	k	X
fcis-17466	359	3	-	-	PUNCT
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fcis-17466	359	6	-	-	PUNCT
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fcis-17466	359	14	industrial	industrial	ADJ
fcis-17466	359	15	site	site	NOUN
fcis-17466	359	16	using	use	VERB
fcis-17466	359	17	industrial	industrial	ADJ
fcis-17466	359	18	wireless	wireless	ADJ
fcis-17466	359	19	sensor	sensor	NOUN
fcis-17466	359	20	networks	network	NOUN
fcis-17466	359	21	.	.	PUNCT
fcis-17466	359	22	”	"	PUNCT
fcis-17466	360	1	sensors	sensor	NOUN
fcis-17466	360	2	2022	2022	NUM
fcis-17466	360	3	,	,	PUNCT
fcis-17466	360	4	vol	vol	NOUN
fcis-17466	360	5	.	.	PROPN
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fcis-17466	360	7	,	,	PUNCT
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fcis-17466	360	10	8	8	NUM
fcis-17466	360	11	,	,	PUNCT
fcis-17466	360	12	pp	pp	ADJ
fcis-17466	360	13	.	.	PUNCT
fcis-17466	360	14	2897	2897	NUM
fcis-17466	360	15	.	.	PUNCT
fcis-17466	361	1	doi	doi	NOUN
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fcis-17466	362	1	[	[	X
fcis-17466	362	2	27	27	NUM
fcis-17466	362	3	]	]	X
fcis-17466	362	4	silva	silva	PROPN
fcis-17466	362	5	rp	rp	PROPN
fcis-17466	362	6	,	,	PUNCT
fcis-17466	362	7	zarpelao	zarpelao	PROPN
fcis-17466	362	8	bb	bb	PROPN
fcis-17466	362	9	,	,	PUNCT
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fcis-17466	362	11	a	a	PRON
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fcis-17466	362	14	.	.	PUNCT
fcis-17466	363	1	“	"	PUNCT
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fcis-17466	363	6	on	on	ADP
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fcis-17466	364	3	,	,	PUNCT
fcis-17466	364	4	vol	vol	NOUN
fcis-17466	364	5	.	.	PROPN
fcis-17466	364	6	21	21	NUM
fcis-17466	364	7	,	,	PUNCT
fcis-17466	364	8	no	no	INTJ
fcis-17466	364	9	.	.	NOUN
fcis-17466	364	10	21	21	NUM
fcis-17466	364	11	,	,	PUNCT
fcis-17466	364	12	pp	pp	ADJ
fcis-17466	364	13	.	.	PUNCT
fcis-17466	364	14	7333	7333	NUM
fcis-17466	364	15	.	.	PUNCT
fcis-17466	365	1	doi	doi	NOUN
fcis-17466	365	2	:	:	PUNCT
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