id	sid	tid	token	lemma	pos
ajst-30905	1	1	academic	academic	ADJ
ajst-30905	1	2	journal	journal	NOUN
ajst-30905	1	3	of	of	ADP
ajst-30905	1	4	science	science	NOUN
ajst-30905	1	5	and	and	CCONJ
ajst-30905	1	6	technology	technology	NOUN
ajst-30905	1	7	issn	issn	NOUN
ajst-30905	1	8	:	:	PUNCT
ajst-30905	1	9	2771	2771	NUM
ajst-30905	1	10	-	-	SYM
ajst-30905	1	11	3032	3032	NUM
ajst-30905	1	12	|	|	NOUN
ajst-30905	1	13	vol	vol	NOUN
ajst-30905	1	14	.	.	PROPN
ajst-30905	1	15	15	15	NUM
ajst-30905	1	16	,	,	PUNCT
ajst-30905	1	17	no	no	INTJ
ajst-30905	1	18	.	.	NOUN
ajst-30905	1	19	2	2	NUM
ajst-30905	1	20	,	,	PUNCT
ajst-30905	1	21	2025	2025	NUM
ajst-30905	1	22	182	182	NUM
ajst-30905	1	23	syngas	syngas	NOUN
ajst-30905	1	24	calorific	calorific	NOUN
ajst-30905	1	25	value	value	NOUN
ajst-30905	1	26	prediction	prediction	NOUN
ajst-30905	1	27	for	for	ADP
ajst-30905	1	28	underground	underground	ADJ
ajst-30905	1	29	coal	coal	NOUN
ajst-30905	1	30	gasification	gasification	NOUN
ajst-30905	1	31	based	base	VERB
ajst-30905	1	32	on	on	ADP
ajst-30905	1	33	informer	informer	ADJ
ajst-30905	1	34	jiaoyuan	jiaoyuan	PROPN
ajst-30905	1	35	li1	li1	NOUN
ajst-30905	1	36	,	,	PUNCT
ajst-30905	1	37	*	*	SYM
ajst-30905	1	38	1	1	NUM
ajst-30905	1	39	school	school	NOUN
ajst-30905	1	40	of	of	ADP
ajst-30905	1	41	energy	energy	NOUN
ajst-30905	1	42	science	science	NOUN
ajst-30905	1	43	and	and	CCONJ
ajst-30905	1	44	engineering	engineering	NOUN
ajst-30905	1	45	,	,	PUNCT
ajst-30905	1	46	henan	henan	PROPN
ajst-30905	1	47	polytechnic	polytechnic	PROPN
ajst-30905	1	48	university	university	PROPN
ajst-30905	1	49	,	,	PUNCT
ajst-30905	1	50	jiaozuo	jiaozuo	PROPN
ajst-30905	1	51	,	,	PUNCT
ajst-30905	1	52	henan	henan	PROPN
ajst-30905	1	53	454003	454003	NUM
ajst-30905	1	54	,	,	PUNCT
ajst-30905	1	55	china	china	PROPN
ajst-30905	1	56	*	*	PUNCT
ajst-30905	1	57	corresponding	correspond	VERB
ajst-30905	1	58	author	author	NOUN
ajst-30905	1	59	:	:	PUNCT
ajst-30905	1	60	jiaoyuan	jiaoyuan	PROPN
ajst-30905	1	61	li	li	PROPN
ajst-30905	1	62	(	(	PUNCT
ajst-30905	1	63	email	email	NOUN
ajst-30905	1	64	:	:	PUNCT
ajst-30905	1	65	1980117113@qq.com	1980117113@qq.com	NUM
ajst-30905	1	66	)	)	PUNCT
ajst-30905	1	67	abstract	abstract	NOUN
ajst-30905	1	68	:	:	PUNCT
ajst-30905	1	69	coal	coal	NOUN
ajst-30905	1	70	property	property	NOUN
ajst-30905	1	71	and	and	CCONJ
ajst-30905	1	72	operational	operational	ADJ
ajst-30905	1	73	parameter	parameter	NOUN
ajst-30905	1	74	variations	variation	NOUN
ajst-30905	1	75	cause	cause	NOUN
ajst-30905	1	76	,	,	PUNCT
ajst-30905	1	77	the	the	DET
ajst-30905	1	78	underground	underground	ADJ
ajst-30905	1	79	coal	coal	NOUN
ajst-30905	1	80	gasification	gasification	NOUN
ajst-30905	1	81	(	(	PUNCT
ajst-30905	1	82	ucg	ucg	PROPN
ajst-30905	1	83	)	)	PUNCT
ajst-30905	1	84	systems	system	NOUN
ajst-30905	1	85	to	to	PART
ajst-30905	1	86	exhibits	exhibit	VERB
ajst-30905	1	87	diverse	diverse	ADJ
ajst-30905	1	88	gasification	gasification	NOUN
ajst-30905	1	89	processes	process	NOUN
ajst-30905	1	90	.	.	PUNCT
ajst-30905	2	1	as	as	SCONJ
ajst-30905	2	2	gasification	gasification	NOUN
ajst-30905	2	3	reactions	reaction	NOUN
ajst-30905	2	4	persist	persist	VERB
ajst-30905	2	5	,	,	PUNCT
ajst-30905	2	6	the	the	DET
ajst-30905	2	7	secondary	secondary	ADJ
ajst-30905	2	8	combustion	combustion	NOUN
ajst-30905	2	9	proportion	proportion	NOUN
ajst-30905	2	10	of	of	ADP
ajst-30905	2	11	combustible	combustible	ADJ
ajst-30905	2	12	gases	gas	NOUN
ajst-30905	2	13	,	,	PUNCT
ajst-30905	2	14	increases	increase	NOUN
ajst-30905	2	15	,	,	PUNCT
ajst-30905	2	16	leading	lead	VERB
ajst-30905	2	17	to	to	ADP
ajst-30905	2	18	unstable	unstable	ADJ
ajst-30905	2	19	gasifier	gasifier	NOUN
ajst-30905	2	20	reaction	reaction	NOUN
ajst-30905	2	21	states	state	NOUN
ajst-30905	2	22	.	.	PUNCT
ajst-30905	3	1	consequently	consequently	ADV
ajst-30905	3	2	,	,	PUNCT
ajst-30905	3	3	the	the	DET
ajst-30905	3	4	composition	composition	NOUN
ajst-30905	3	5	and	and	CCONJ
ajst-30905	3	6	calorific	calorific	ADJ
ajst-30905	3	7	value	value	NOUN
ajst-30905	3	8	of	of	ADP
ajst-30905	3	9	syngas	syngas	NOUN
ajst-30905	3	10	decline	decline	NOUN
ajst-30905	3	11	after	after	ADP
ajst-30905	3	12	a	a	DET
ajst-30905	3	13	stable	stable	ADJ
ajst-30905	3	14	production	production	NOUN
ajst-30905	3	15	period	period	NOUN
ajst-30905	3	16	,	,	PUNCT
ajst-30905	3	17	necessitating	necessitate	VERB
ajst-30905	3	18	the	the	DET
ajst-30905	3	19	intervention	intervention	NOUN
ajst-30905	3	20	of	of	ADP
ajst-30905	3	21	new	new	ADJ
ajst-30905	3	22	control	control	NOUN
ajst-30905	3	23	methods	method	NOUN
ajst-30905	3	24	to	to	PART
ajst-30905	3	25	prevent	prevent	VERB
ajst-30905	3	26	further	further	ADJ
ajst-30905	3	27	deterioration	deterioration	NOUN
ajst-30905	3	28	.	.	PUNCT
ajst-30905	4	1	this	this	DET
ajst-30905	4	2	study	study	NOUN
ajst-30905	4	3	proposes	propose	VERB
ajst-30905	4	4	eight	eight	NUM
ajst-30905	4	5	characteristic	characteristic	ADJ
ajst-30905	4	6	variables	variable	NOUN
ajst-30905	4	7	that	that	PRON
ajst-30905	4	8	influence	influence	VERB
ajst-30905	4	9	the	the	DET
ajst-30905	4	10	calorific	calorific	ADJ
ajst-30905	4	11	value	value	NOUN
ajst-30905	4	12	of	of	ADP
ajst-30905	4	13	syngas	syngas	NOUN
ajst-30905	4	14	based	base	VERB
ajst-30905	4	15	on	on	ADP
ajst-30905	4	16	the	the	DET
ajst-30905	4	17	mechanism	mechanism	NOUN
ajst-30905	4	18	analysis	analysis	NOUN
ajst-30905	4	19	of	of	ADP
ajst-30905	4	20	the	the	DET
ajst-30905	4	21	ucg	ucg	PROPN
ajst-30905	4	22	process	process	NOUN
ajst-30905	4	23	.	.	PUNCT
ajst-30905	5	1	through	through	ADP
ajst-30905	5	2	similar	similar	ADJ
ajst-30905	5	3	simulation	simulation	NOUN
ajst-30905	5	4	experiments	experiment	NOUN
ajst-30905	5	5	,	,	PUNCT
ajst-30905	5	6	datasets	dataset	NOUN
ajst-30905	5	7	were	be	AUX
ajst-30905	5	8	collected	collect	VERB
ajst-30905	5	9	for	for	ADP
ajst-30905	5	10	ucg	ucg	NOUN
ajst-30905	5	11	under	under	ADP
ajst-30905	5	12	various	various	ADJ
ajst-30905	5	13	characteristic	characteristic	ADJ
ajst-30905	5	14	variables	variable	NOUN
ajst-30905	5	15	.	.	PUNCT
ajst-30905	6	1	using	use	VERB
ajst-30905	6	2	the	the	DET
ajst-30905	6	3	pearson	pearson	NOUN
ajst-30905	6	4	analysis	analysis	NOUN
ajst-30905	6	5	results	result	NOUN
ajst-30905	6	6	from	from	ADP
ajst-30905	6	7	high	high	ADJ
ajst-30905	6	8	-	-	PUNCT
ajst-30905	6	9	quality	quality	NOUN
ajst-30905	6	10	datasets	dataset	NOUN
ajst-30905	6	11	,	,	PUNCT
ajst-30905	6	12	different	different	ADJ
ajst-30905	6	13	input	input	NOUN
ajst-30905	6	14	combinations	combination	NOUN
ajst-30905	6	15	were	be	AUX
ajst-30905	6	16	established	establish	VERB
ajst-30905	6	17	,	,	PUNCT
ajst-30905	6	18	and	and	CCONJ
ajst-30905	6	19	a	a	DET
ajst-30905	6	20	syngas	syngas	NOUN
ajst-30905	6	21	calorific	calorific	NOUN
ajst-30905	6	22	value	value	NOUN
ajst-30905	6	23	prediction	prediction	NOUN
ajst-30905	6	24	model	model	NOUN
ajst-30905	6	25	was	be	AUX
ajst-30905	6	26	proposed	propose	VERB
ajst-30905	6	27	.	.	PUNCT
ajst-30905	7	1	the	the	DET
ajst-30905	7	2	model	model	NOUN
ajst-30905	7	3	's	's	PART
ajst-30905	7	4	performance	performance	NOUN
ajst-30905	7	5	was	be	AUX
ajst-30905	7	6	evaluated	evaluate	VERB
ajst-30905	7	7	from	from	ADP
ajst-30905	7	8	different	different	ADJ
ajst-30905	7	9	perspectives	perspective	NOUN
ajst-30905	7	10	using	use	VERB
ajst-30905	7	11	three	three	NUM
ajst-30905	7	12	evaluation	evaluation	NOUN
ajst-30905	7	13	metrics	metric	NOUN
ajst-30905	7	14	:	:	PUNCT
ajst-30905	7	15	rmse	rmse	PROPN
ajst-30905	7	16	,	,	PUNCT
ajst-30905	7	17	mae	mae	PROPN
ajst-30905	7	18	,	,	PUNCT
ajst-30905	7	19	and	and	CCONJ
ajst-30905	7	20	r²	r²	NOUN
ajst-30905	7	21	.	.	PUNCT
ajst-30905	8	1	the	the	DET
ajst-30905	8	2	prediction	prediction	NOUN
ajst-30905	8	3	performance	performance	NOUN
ajst-30905	8	4	was	be	AUX
ajst-30905	8	5	studied	study	VERB
ajst-30905	8	6	under	under	ADP
ajst-30905	8	7	three	three	NUM
ajst-30905	8	8	types	type	NOUN
ajst-30905	8	9	of	of	ADP
ajst-30905	8	10	gasification	gasification	NOUN
ajst-30905	8	11	channels	channel	NOUN
ajst-30905	8	12	,	,	PUNCT
ajst-30905	8	13	three	three	NUM
ajst-30905	8	14	sampling	sample	VERB
ajst-30905	8	15	frequencies	frequency	NOUN
ajst-30905	8	16	,	,	PUNCT
ajst-30905	8	17	and	and	CCONJ
ajst-30905	8	18	four	four	NUM
ajst-30905	8	19	prediction	prediction	NOUN
ajst-30905	8	20	lengths	length	NOUN
ajst-30905	8	21	.	.	PUNCT
ajst-30905	9	1	the	the	DET
ajst-30905	9	2	results	result	NOUN
ajst-30905	9	3	indicate	indicate	VERB
ajst-30905	9	4	that	that	SCONJ
ajst-30905	9	5	the	the	DET
ajst-30905	9	6	informer	informer	ADJ
ajst-30905	9	7	model	model	NOUN
ajst-30905	9	8	performs	perform	VERB
ajst-30905	9	9	well	well	ADV
ajst-30905	9	10	with	with	ADP
ajst-30905	9	11	optimal	optimal	ADJ
ajst-30905	9	12	input	input	NOUN
ajst-30905	9	13	.	.	PUNCT
ajst-30905	10	1	in	in	ADP
ajst-30905	10	2	longsequence	longsequence	NOUN
ajst-30905	10	3	predictions	prediction	NOUN
ajst-30905	10	4	,	,	PUNCT
ajst-30905	10	5	the	the	DET
ajst-30905	10	6	r²	r²	NOUN
ajst-30905	10	7	value	value	NOUN
ajst-30905	10	8	under	under	ADP
ajst-30905	10	9	optimal	optimal	ADJ
ajst-30905	10	10	input	input	NOUN
ajst-30905	10	11	exceeds	exceed	VERB
ajst-30905	10	12	80	80	NUM
ajst-30905	10	13	%	%	NOUN
ajst-30905	10	14	.	.	PUNCT
ajst-30905	11	1	keywords	keyword	NOUN
ajst-30905	11	2	:	:	PUNCT
ajst-30905	11	3	underground	underground	ADJ
ajst-30905	11	4	coal	coal	NOUN
ajst-30905	11	5	gasification	gasification	NOUN
ajst-30905	11	6	(	(	PUNCT
ajst-30905	11	7	ucg	ucg	PROPN
ajst-30905	11	8	)	)	PUNCT
ajst-30905	11	9	;	;	PUNCT
ajst-30905	11	10	pearson	pearson	PROPN
ajst-30905	11	11	;	;	PUNCT
ajst-30905	11	12	lnformer	lnform	ADJ
ajst-30905	11	13	;	;	PUNCT
ajst-30905	11	14	syngas	syngas	NOUN
ajst-30905	11	15	calorific	calorific	NOUN
ajst-30905	11	16	value	value	NOUN
ajst-30905	11	17	prediction	prediction	NOUN
ajst-30905	11	18	.	.	PUNCT
ajst-30905	12	1	1	1	X
ajst-30905	12	2	.	.	X
ajst-30905	12	3	introduction	introduction	NOUN
ajst-30905	12	4	underground	underground	PROPN
ajst-30905	12	5	coal	coal	NOUN
ajst-30905	12	6	gasification	gasification	NOUN
ajst-30905	12	7	(	(	PUNCT
ajst-30905	12	8	ucg	ucg	PROPN
ajst-30905	12	9	)	)	PUNCT
ajst-30905	12	10	is	be	AUX
ajst-30905	12	11	an	an	DET
ajst-30905	12	12	advanced	advanced	ADJ
ajst-30905	12	13	technology	technology	NOUN
ajst-30905	12	14	for	for	ADP
ajst-30905	12	15	cleanly	cleanly	ADV
ajst-30905	12	16	utilizing	utilize	VERB
ajst-30905	12	17	coal	coal	NOUN
ajst-30905	12	18	.	.	PUNCT
ajst-30905	13	1	this	this	DET
ajst-30905	13	2	process	process	NOUN
ajst-30905	13	3	involves	involve	VERB
ajst-30905	13	4	the	the	DET
ajst-30905	13	5	direct	direct	ADJ
ajst-30905	13	6	partial	partial	ADJ
ajst-30905	13	7	underground	underground	ADJ
ajst-30905	13	8	combustion	combustion	NOUN
ajst-30905	13	9	of	of	ADP
ajst-30905	13	10	coal	coal	NOUN
ajst-30905	13	11	to	to	PART
ajst-30905	13	12	produce	produce	VERB
ajst-30905	13	13	clean	clean	ADJ
ajst-30905	13	14	,	,	PUNCT
ajst-30905	13	15	combustible	combustible	ADJ
ajst-30905	13	16	syngas	syngas	NOUN
ajst-30905	13	17	that	that	PRON
ajst-30905	13	18	is	be	AUX
ajst-30905	13	19	primarily	primarily	ADV
ajst-30905	13	20	composed	compose	VERB
ajst-30905	13	21	of	of	ADP
ajst-30905	13	22	h2	h2	NOUN
ajst-30905	13	23	,	,	PUNCT
ajst-30905	13	24	co	co	NOUN
ajst-30905	13	25	,	,	PUNCT
ajst-30905	13	26	and	and	CCONJ
ajst-30905	13	27	ch4	ch4	NOUN
ajst-30905	13	28	,	,	PUNCT
ajst-30905	13	29	thus	thus	ADV
ajst-30905	13	30	effectively	effectively	ADV
ajst-30905	13	31	bypassing	bypass	VERB
ajst-30905	13	32	the	the	DET
ajst-30905	13	33	traditional	traditional	ADJ
ajst-30905	13	34	coal	coal	NOUN
ajst-30905	13	35	combustion	combustion	NOUN
ajst-30905	13	36	process	process	NOUN
ajst-30905	13	37	[	[	X
ajst-30905	13	38	1,2	1,2	NUM
ajst-30905	13	39	]	]	PUNCT
ajst-30905	13	40	.	.	PUNCT
ajst-30905	14	1	this	this	DET
ajst-30905	14	2	technology	technology	NOUN
ajst-30905	14	3	achieves	achieve	VERB
ajst-30905	14	4	controlled	control	VERB
ajst-30905	14	5	chemical	chemical	NOUN
ajst-30905	14	6	reactions	reaction	NOUN
ajst-30905	14	7	by	by	ADP
ajst-30905	14	8	injecting	inject	VERB
ajst-30905	14	9	gasifying	gasifying	NOUN
ajst-30905	14	10	agents	agent	NOUN
ajst-30905	14	11	,	,	PUNCT
ajst-30905	14	12	thereby	thereby	ADV
ajst-30905	14	13	enhancing	enhance	VERB
ajst-30905	14	14	energy	energy	NOUN
ajst-30905	14	15	efficiency	efficiency	NOUN
ajst-30905	14	16	while	while	SCONJ
ajst-30905	14	17	significantly	significantly	ADV
ajst-30905	14	18	reducing	reduce	VERB
ajst-30905	14	19	sulfur	sulfur	NOUN
ajst-30905	14	20	and	and	CCONJ
ajst-30905	14	21	nitrogen	nitrogen	NOUN
ajst-30905	14	22	oxide	oxide	NOUN
ajst-30905	14	23	emissions	emission	NOUN
ajst-30905	14	24	[	[	X
ajst-30905	14	25	3	3	NUM
ajst-30905	14	26	]	]	PUNCT
ajst-30905	14	27	.	.	PUNCT
ajst-30905	15	1	compared	compare	VERB
ajst-30905	15	2	to	to	ADP
ajst-30905	15	3	conventional	conventional	ADJ
ajst-30905	15	4	coal	coal	NOUN
ajst-30905	15	5	mining	mining	NOUN
ajst-30905	15	6	methods	method	NOUN
ajst-30905	15	7	,	,	PUNCT
ajst-30905	15	8	ucg	ucg	PROPN
ajst-30905	15	9	minimizes	minimize	VERB
ajst-30905	15	10	surface	surface	NOUN
ajst-30905	15	11	disruption	disruption	NOUN
ajst-30905	15	12	and	and	CCONJ
ajst-30905	15	13	environmental	environmental	ADJ
ajst-30905	15	14	pollution	pollution	NOUN
ajst-30905	15	15	,	,	PUNCT
ajst-30905	15	16	making	make	VERB
ajst-30905	15	17	it	it	PRON
ajst-30905	15	18	suitable	suitable	ADJ
ajst-30905	15	19	for	for	ADP
ajst-30905	15	20	deep	deep	ADJ
ajst-30905	15	21	,	,	PUNCT
ajst-30905	15	22	steep	steep	ADJ
ajst-30905	15	23	,	,	PUNCT
ajst-30905	15	24	or	or	CCONJ
ajst-30905	15	25	gently	gently	ADV
ajst-30905	15	26	inclined	inclined	ADJ
ajst-30905	15	27	coal	coal	NOUN
ajst-30905	15	28	seams	seam	NOUN
ajst-30905	15	29	and	and	CCONJ
ajst-30905	15	30	reducing	reduce	VERB
ajst-30905	15	31	mining	mining	NOUN
ajst-30905	15	32	costs	cost	NOUN
ajst-30905	15	33	[	[	X
ajst-30905	15	34	4	4	NUM
ajst-30905	15	35	]	]	PUNCT
ajst-30905	15	36	.	.	PUNCT
ajst-30905	16	1	furthermore	furthermore	ADV
ajst-30905	16	2	,	,	PUNCT
ajst-30905	16	3	the	the	DET
ajst-30905	16	4	development	development	NOUN
ajst-30905	16	5	of	of	ADP
ajst-30905	16	6	ucg	ucg	PROPN
ajst-30905	16	7	technology	technology	PROPN
ajst-30905	16	8	aligns	align	VERB
ajst-30905	16	9	with	with	ADP
ajst-30905	16	10	national	national	ADJ
ajst-30905	16	11	strategies	strategy	NOUN
ajst-30905	16	12	for	for	ADP
ajst-30905	16	13	building	build	VERB
ajst-30905	16	14	a	a	DET
ajst-30905	16	15	low	low	ADJ
ajst-30905	16	16	-	-	PUNCT
ajst-30905	16	17	carbon	carbon	NOUN
ajst-30905	16	18	,	,	PUNCT
ajst-30905	16	19	clean	clean	ADJ
ajst-30905	16	20	,	,	PUNCT
ajst-30905	16	21	safe	safe	ADJ
ajst-30905	16	22	,	,	PUNCT
ajst-30905	16	23	and	and	CCONJ
ajst-30905	16	24	efficient	efficient	ADJ
ajst-30905	16	25	modern	modern	ADJ
ajst-30905	16	26	energy	energy	NOUN
ajst-30905	16	27	system	system	NOUN
ajst-30905	16	28	,	,	PUNCT
ajst-30905	16	29	offering	offer	VERB
ajst-30905	16	30	broad	broad	ADJ
ajst-30905	16	31	application	application	NOUN
ajst-30905	16	32	prospects	prospect	NOUN
ajst-30905	16	33	and	and	CCONJ
ajst-30905	16	34	significant	significant	ADJ
ajst-30905	16	35	environmental	environmental	ADJ
ajst-30905	16	36	benefits	benefit	NOUN
ajst-30905	16	37	[	[	X
ajst-30905	16	38	5	5	NUM
ajst-30905	16	39	-	-	SYM
ajst-30905	16	40	7	7	NUM
ajst-30905	16	41	]	]	PUNCT
ajst-30905	16	42	.	.	PUNCT
ajst-30905	17	1	however	however	ADV
ajst-30905	17	2	,	,	PUNCT
ajst-30905	17	3	ucg	ucg	PROPN
ajst-30905	17	4	technology	technology	PROPN
ajst-30905	17	5	still	still	ADV
ajst-30905	17	6	faces	face	VERB
ajst-30905	17	7	several	several	ADJ
ajst-30905	17	8	challenges	challenge	NOUN
ajst-30905	17	9	in	in	ADP
ajst-30905	17	10	large	large	ADJ
ajst-30905	17	11	-	-	PUNCT
ajst-30905	17	12	scale	scale	NOUN
ajst-30905	17	13	commercial	commercial	ADJ
ajst-30905	17	14	applications	application	NOUN
ajst-30905	17	15	,	,	PUNCT
ajst-30905	17	16	such	such	ADJ
ajst-30905	17	17	as	as	ADP
ajst-30905	17	18	unstable	unstable	ADJ
ajst-30905	17	19	gas	gas	NOUN
ajst-30905	17	20	yields	yield	NOUN
ajst-30905	17	21	and	and	CCONJ
ajst-30905	17	22	calorific	calorific	ADJ
ajst-30905	17	23	values	value	NOUN
ajst-30905	17	24	,	,	PUNCT
ajst-30905	17	25	low	low	ADJ
ajst-30905	17	26	gasification	gasification	NOUN
ajst-30905	17	27	efficiency	efficiency	NOUN
ajst-30905	17	28	,	,	PUNCT
ajst-30905	17	29	and	and	CCONJ
ajst-30905	17	30	a	a	DET
ajst-30905	17	31	small	small	ADJ
ajst-30905	17	32	proportion	proportion	NOUN
ajst-30905	17	33	of	of	ADP
ajst-30905	17	34	combustible	combustible	ADJ
ajst-30905	17	35	gases	gas	NOUN
ajst-30905	17	36	that	that	PRON
ajst-30905	17	37	are	be	AUX
ajst-30905	17	38	easily	easily	ADV
ajst-30905	17	39	volatile	volatile	ADJ
ajst-30905	17	40	[	[	X
ajst-30905	17	41	8	8	NUM
ajst-30905	17	42	]	]	PUNCT
ajst-30905	17	43	.	.	PUNCT
ajst-30905	18	1	these	these	DET
ajst-30905	18	2	factors	factor	NOUN
ajst-30905	18	3	limit	limit	VERB
ajst-30905	18	4	the	the	DET
ajst-30905	18	5	application	application	NOUN
ajst-30905	18	6	scope	scope	NOUN
ajst-30905	18	7	of	of	ADP
ajst-30905	18	8	ucg	ucg	PROPN
ajst-30905	18	9	products	product	NOUN
ajst-30905	18	10	and	and	CCONJ
ajst-30905	18	11	the	the	DET
ajst-30905	18	12	effectiveness	effectiveness	NOUN
ajst-30905	18	13	of	of	ADP
ajst-30905	18	14	industrial	industrial	ADJ
ajst-30905	18	15	prediction	prediction	NOUN
ajst-30905	18	16	methods	method	NOUN
ajst-30905	18	17	.	.	PUNCT
ajst-30905	19	1	to	to	PART
ajst-30905	19	2	enhance	enhance	VERB
ajst-30905	19	3	the	the	DET
ajst-30905	19	4	operational	operational	ADJ
ajst-30905	19	5	stability	stability	NOUN
ajst-30905	19	6	of	of	ADP
ajst-30905	19	7	a	a	DET
ajst-30905	19	8	ucg	ucg	PROPN
ajst-30905	19	9	system	system	NOUN
ajst-30905	19	10	,	,	PUNCT
ajst-30905	19	11	predicting	predict	VERB
ajst-30905	19	12	the	the	DET
ajst-30905	19	13	calorific	calorific	ADJ
ajst-30905	19	14	value	value	NOUN
ajst-30905	19	15	of	of	ADP
ajst-30905	19	16	syngas	syngas	NOUN
ajst-30905	19	17	becomes	become	VERB
ajst-30905	19	18	particularly	particularly	ADV
ajst-30905	19	19	crucial	crucial	ADJ
ajst-30905	19	20	.	.	PUNCT
ajst-30905	20	1	this	this	PRON
ajst-30905	20	2	not	not	PART
ajst-30905	20	3	only	only	ADV
ajst-30905	20	4	aids	aid	NOUN
ajst-30905	20	5	in	in	ADP
ajst-30905	20	6	understanding	understand	VERB
ajst-30905	20	7	the	the	DET
ajst-30905	20	8	operational	operational	ADJ
ajst-30905	20	9	status	status	NOUN
ajst-30905	20	10	of	of	ADP
ajst-30905	20	11	the	the	DET
ajst-30905	20	12	system	system	NOUN
ajst-30905	20	13	but	but	CCONJ
ajst-30905	20	14	also	also	ADV
ajst-30905	20	15	guides	guide	VERB
ajst-30905	20	16	subsequent	subsequent	ADJ
ajst-30905	20	17	control	control	NOUN
ajst-30905	20	18	measures	measure	NOUN
ajst-30905	20	19	for	for	ADP
ajst-30905	20	20	optimizing	optimize	VERB
ajst-30905	20	21	the	the	DET
ajst-30905	20	22	gasification	gasification	NOUN
ajst-30905	20	23	process	process	NOUN
ajst-30905	20	24	[	[	X
ajst-30905	20	25	9	9	NUM
ajst-30905	20	26	]	]	PUNCT
ajst-30905	20	27	.	.	PUNCT
ajst-30905	21	1	by	by	ADP
ajst-30905	21	2	controlling	control	VERB
ajst-30905	21	3	the	the	DET
ajst-30905	21	4	flow	flow	NOUN
ajst-30905	21	5	,	,	PUNCT
ajst-30905	21	6	composition	composition	NOUN
ajst-30905	21	7	of	of	ADP
ajst-30905	21	8	gasifying	gasifying	NOUN
ajst-30905	21	9	agents	agent	NOUN
ajst-30905	21	10	,	,	PUNCT
ajst-30905	21	11	and	and	CCONJ
ajst-30905	21	12	pressure	pressure	NOUN
ajst-30905	21	13	within	within	ADP
ajst-30905	21	14	the	the	DET
ajst-30905	21	15	reactor	reactor	NOUN
ajst-30905	21	16	,	,	PUNCT
ajst-30905	21	17	the	the	DET
ajst-30905	21	18	stability	stability	NOUN
ajst-30905	21	19	of	of	ADP
ajst-30905	21	20	the	the	DET
ajst-30905	21	21	ucg	ucg	PROPN
ajst-30905	21	22	process	process	NOUN
ajst-30905	21	23	can	can	AUX
ajst-30905	21	24	be	be	AUX
ajst-30905	21	25	improved	improve	VERB
ajst-30905	21	26	to	to	ADP
ajst-30905	21	27	some	some	DET
ajst-30905	21	28	extent	extent	NOUN
ajst-30905	21	29	[	[	X
ajst-30905	21	30	10	10	NUM
ajst-30905	21	31	]	]	PUNCT
ajst-30905	21	32	.	.	PUNCT
ajst-30905	22	1	therefore	therefore	ADV
ajst-30905	22	2	,	,	PUNCT
ajst-30905	22	3	predicting	predict	VERB
ajst-30905	22	4	the	the	DET
ajst-30905	22	5	calorific	calorific	ADJ
ajst-30905	22	6	value	value	NOUN
ajst-30905	22	7	of	of	ADP
ajst-30905	22	8	syngas	syngas	NOUN
ajst-30905	22	9	is	be	AUX
ajst-30905	22	10	highly	highly	ADV
ajst-30905	22	11	important	important	ADJ
ajst-30905	22	12	for	for	ADP
ajst-30905	22	13	improving	improve	VERB
ajst-30905	22	14	the	the	DET
ajst-30905	22	15	reliability	reliability	NOUN
ajst-30905	22	16	of	of	ADP
ajst-30905	22	17	ucg	ucg	PROPN
ajst-30905	22	18	technology	technology	PROPN
ajst-30905	22	19	and	and	CCONJ
ajst-30905	22	20	promoting	promote	VERB
ajst-30905	22	21	its	its	PRON
ajst-30905	22	22	commercial	commercial	ADJ
ajst-30905	22	23	application	application	NOUN
ajst-30905	22	24	.	.	PUNCT
ajst-30905	23	1	in	in	ADP
ajst-30905	23	2	recent	recent	ADJ
ajst-30905	23	3	years	year	NOUN
ajst-30905	23	4	,	,	PUNCT
ajst-30905	23	5	scholars	scholar	NOUN
ajst-30905	23	6	from	from	ADP
ajst-30905	23	7	various	various	ADJ
ajst-30905	23	8	countries	country	NOUN
ajst-30905	23	9	have	have	AUX
ajst-30905	23	10	conducted	conduct	VERB
ajst-30905	23	11	extensive	extensive	ADJ
ajst-30905	23	12	theoretical	theoretical	ADJ
ajst-30905	23	13	and	and	CCONJ
ajst-30905	23	14	experimental	experimental	ADJ
ajst-30905	23	15	research	research	NOUN
ajst-30905	23	16	on	on	ADP
ajst-30905	23	17	predicting	predict	VERB
ajst-30905	23	18	the	the	DET
ajst-30905	23	19	ucg	ucg	PROPN
ajst-30905	23	20	gasification	gasification	NOUN
ajst-30905	23	21	process	process	NOUN
ajst-30905	23	22	,	,	PUNCT
ajst-30905	23	23	the	the	DET
ajst-30905	23	24	developed	develop	VERB
ajst-30905	23	25	approaches	approach	NOUN
ajst-30905	23	26	can	can	AUX
ajst-30905	23	27	be	be	AUX
ajst-30905	23	28	categorized	categorize	VERB
ajst-30905	23	29	into	into	ADP
ajst-30905	23	30	theoretical	theoretical	ADJ
ajst-30905	23	31	model	model	NOUN
ajst-30905	23	32	predictions	prediction	NOUN
ajst-30905	23	33	and	and	CCONJ
ajst-30905	23	34	experimental	experimental	ADJ
ajst-30905	23	35	data	datum	NOUN
ajst-30905	23	36	prediction	prediction	NOUN
ajst-30905	23	37	methods	method	NOUN
ajst-30905	23	38	.	.	PUNCT
ajst-30905	24	1	theoretical	theoretical	ADJ
ajst-30905	24	2	model	model	NOUN
ajst-30905	24	3	prediction	prediction	NOUN
ajst-30905	24	4	methods	method	NOUN
ajst-30905	24	5	:	:	PUNCT
ajst-30905	24	6	jowkar	jowkar	PROPN
ajst-30905	24	7	amin	amin	PROPN
ajst-30905	24	8	et	et	PROPN
ajst-30905	24	9	al	al	PROPN
ajst-30905	24	10	.	.	PUNCT
ajst-30905	25	1	[	[	X
ajst-30905	25	2	11	11	NUM
ajst-30905	25	3	]	]	PUNCT
ajst-30905	25	4	proposed	propose	VERB
ajst-30905	25	5	a	a	DET
ajst-30905	25	6	model	model	NOUN
ajst-30905	25	7	based	base	VERB
ajst-30905	25	8	on	on	ADP
ajst-30905	25	9	a	a	DET
ajst-30905	25	10	series	series	NOUN
ajst-30905	25	11	of	of	ADP
ajst-30905	25	12	equations	equation	NOUN
ajst-30905	25	13	and	and	CCONJ
ajst-30905	25	14	cavity	cavity	NOUN
ajst-30905	25	15	pressure	pressure	NOUN
ajst-30905	25	16	and	and	CCONJ
ajst-30905	25	17	temperature	temperature	NOUN
ajst-30905	25	18	information	information	NOUN
ajst-30905	25	19	to	to	PART
ajst-30905	25	20	predict	predict	VERB
ajst-30905	25	21	the	the	DET
ajst-30905	25	22	dynamic	dynamic	ADJ
ajst-30905	25	23	cavity	cavity	NOUN
ajst-30905	25	24	shape	shape	NOUN
ajst-30905	25	25	and	and	CCONJ
ajst-30905	25	26	volume	volume	NOUN
ajst-30905	25	27	changes	change	NOUN
ajst-30905	25	28	induced	induce	VERB
ajst-30905	25	29	during	during	ADP
ajst-30905	25	30	the	the	DET
ajst-30905	25	31	underground	underground	ADJ
ajst-30905	25	32	gasification	gasification	NOUN
ajst-30905	25	33	process	process	NOUN
ajst-30905	25	34	.	.	PUNCT
ajst-30905	26	1	using	use	VERB
ajst-30905	26	2	comsol	comsol	NOUN
ajst-30905	26	3	software	software	NOUN
ajst-30905	26	4	for	for	ADP
ajst-30905	26	5	numerical	numerical	PROPN
ajst-30905	26	6	simulation	simulation	PROPN
ajst-30905	26	7	purposes	purpose	NOUN
ajst-30905	26	8	,	,	PUNCT
ajst-30905	26	9	the	the	DET
ajst-30905	26	10	model	model	NOUN
ajst-30905	26	11	accurately	accurately	ADV
ajst-30905	26	12	predicts	predict	VERB
ajst-30905	26	13	the	the	DET
ajst-30905	26	14	cavity	cavity	NOUN
ajst-30905	26	15	shape	shape	NOUN
ajst-30905	26	16	and	and	CCONJ
ajst-30905	26	17	volume	volume	NOUN
ajst-30905	26	18	during	during	ADP
ajst-30905	26	19	the	the	DET
ajst-30905	26	20	initial	initial	ADJ
ajst-30905	26	21	gasification	gasification	NOUN
ajst-30905	26	22	stages	stage	NOUN
ajst-30905	26	23	.	.	PUNCT
ajst-30905	27	1	otto	otto	PROPN
ajst-30905	27	2	christopher	christopher	PROPN
ajst-30905	27	3	et	et	PROPN
ajst-30905	27	4	al	al	PROPN
ajst-30905	27	5	.	.	PUNCT
ajst-30905	28	1	[	[	X
ajst-30905	28	2	12	12	NUM
ajst-30905	28	3	]	]	PUNCT
ajst-30905	28	4	employed	employ	VERB
ajst-30905	28	5	a	a	DET
ajst-30905	28	6	thermochemical	thermochemical	ADJ
ajst-30905	28	7	equilibrium	equilibrium	NOUN
ajst-30905	28	8	modeling	modeling	NOUN
ajst-30905	28	9	method	method	NOUN
ajst-30905	28	10	to	to	PART
ajst-30905	28	11	predict	predict	VERB
ajst-30905	28	12	the	the	DET
ajst-30905	28	13	composition	composition	NOUN
ajst-30905	28	14	of	of	ADP
ajst-30905	28	15	syngas	syngas	NOUN
ajst-30905	28	16	in	in	ADP
ajst-30905	28	17	ucg	ucg	PROPN
ajst-30905	28	18	.	.	PUNCT
ajst-30905	29	1	dufaux	dufaux	PROPN
ajst-30905	29	2	et	et	PROPN
ajst-30905	29	3	al	al	PROPN
ajst-30905	29	4	.	.	PUNCT
ajst-30905	30	1	[	[	X
ajst-30905	30	2	13	13	NUM
ajst-30905	30	3	]	]	PUNCT
ajst-30905	30	4	utilized	utilize	VERB
ajst-30905	30	5	chemical	chemical	NOUN
ajst-30905	30	6	equilibrium	equilibrium	NOUN
ajst-30905	30	7	on	on	ADP
ajst-30905	30	8	the	the	DET
ajst-30905	30	9	coal	coal	NOUN
ajst-30905	30	10	surface	surface	NOUN
ajst-30905	30	11	to	to	PART
ajst-30905	30	12	predict	predict	VERB
ajst-30905	30	13	gas	gas	NOUN
ajst-30905	30	14	compositions	composition	NOUN
ajst-30905	30	15	.	.	PUNCT
ajst-30905	31	1	however	however	ADV
ajst-30905	31	2	,	,	PUNCT
ajst-30905	31	3	this	this	DET
ajst-30905	31	4	model	model	NOUN
ajst-30905	31	5	overestimates	overestimate	VERB
ajst-30905	31	6	the	the	DET
ajst-30905	31	7	concentration	concentration	NOUN
ajst-30905	31	8	of	of	ADP
ajst-30905	31	9	carbon	carbon	NOUN
ajst-30905	31	10	monoxide	monoxide	NOUN
ajst-30905	31	11	and	and	CCONJ
ajst-30905	31	12	underestimates	underestimate	VERB
ajst-30905	31	13	the	the	DET
ajst-30905	31	14	carbon	carbon	NOUN
ajst-30905	31	15	dioxide	dioxide	NOUN
ajst-30905	31	16	content	content	NOUN
ajst-30905	31	17	in	in	ADP
ajst-30905	31	18	the	the	DET
ajst-30905	31	19	product	product	NOUN
ajst-30905	31	20	gas	gas	NOUN
ajst-30905	31	21	.	.	PUNCT
ajst-30905	32	1	laciak	laciak	NOUN
ajst-30905	32	2	et	et	PROPN
ajst-30905	32	3	al	al	PROPN
ajst-30905	32	4	.	.	PUNCT
ajst-30905	33	1	[	[	X
ajst-30905	33	2	14	14	NUM
ajst-30905	33	3	]	]	PUNCT
ajst-30905	33	4	calculated	calculate	VERB
ajst-30905	33	5	the	the	DET
ajst-30905	33	6	concentrations	concentration	NOUN
ajst-30905	33	7	of	of	ADP
ajst-30905	33	8	gasification	gasification	NOUN
ajst-30905	33	9	products	product	NOUN
ajst-30905	33	10	obtained	obtain	VERB
ajst-30905	33	11	at	at	ADP
ajst-30905	33	12	different	different	ADJ
ajst-30905	33	13	gasification	gasification	NOUN
ajst-30905	33	14	temperatures	temperature	NOUN
ajst-30905	33	15	using	use	VERB
ajst-30905	33	16	the	the	DET
ajst-30905	33	17	known	know	VERB
ajst-30905	33	18	temperature	temperature	NOUN
ajst-30905	33	19	and	and	CCONJ
ajst-30905	33	20	pressure	pressure	NOUN
ajst-30905	33	21	of	of	ADP
ajst-30905	33	22	ucg	ucg	PROPN
ajst-30905	33	23	while	while	NOUN
ajst-30905	33	24	,	,	PUNCT
ajst-30905	33	25	employing	employ	VERB
ajst-30905	33	26	gibbs	gibbs	PROPN
ajst-30905	33	27	energy	energy	NOUN
ajst-30905	33	28	minimizationand	minimizationand	NOUN
ajst-30905	33	29	lagrange	lagrange	PROPN
ajst-30905	33	30	multiplier	multiplier	ADV
ajst-30905	33	31	-	-	PUNCT
ajst-30905	33	32	based	base	VERB
ajst-30905	33	33	finite	finite	ADJ
ajst-30905	33	34	optimization	optimization	NOUN
ajst-30905	33	35	methods	method	NOUN
ajst-30905	33	36	.	.	PUNCT
ajst-30905	34	1	however	however	ADV
ajst-30905	34	2	,	,	PUNCT
ajst-30905	34	3	this	this	DET
ajst-30905	34	4	method	method	NOUN
ajst-30905	34	5	only	only	ADV
ajst-30905	34	6	accurately	accurately	ADV
ajst-30905	34	7	predicts	predict	VERB
ajst-30905	34	8	the	the	DET
ajst-30905	34	9	concentration	concentration	NOUN
ajst-30905	34	10	of	of	ADP
ajst-30905	34	11	a	a	DET
ajst-30905	34	12	single	single	ADJ
ajst-30905	34	13	output	output	NOUN
ajst-30905	34	14	gas	gas	NOUN
ajst-30905	34	15	under	under	ADP
ajst-30905	34	16	one	one	NUM
ajst-30905	34	17	temperature	temperature	NOUN
ajst-30905	34	18	condition	condition	NOUN
ajst-30905	34	19	,	,	PUNCT
ajst-30905	34	20	with	with	ADP
ajst-30905	34	21	significant	significant	ADJ
ajst-30905	34	22	deviations	deviation	NOUN
ajst-30905	34	23	induced	induce	VERB
ajst-30905	34	24	when	when	SCONJ
ajst-30905	34	25	predicting	predict	VERB
ajst-30905	34	26	other	other	ADJ
ajst-30905	34	27	gas	gas	NOUN
ajst-30905	34	28	concentrations	concentration	NOUN
ajst-30905	34	29	.	.	PUNCT
ajst-30905	35	1	eftekhari	eftekhari	PROPN
ajst-30905	35	2	et	et	PROPN
ajst-30905	35	3	al	al	PROPN
ajst-30905	35	4	.	.	PUNCT
ajst-30905	36	1	[	[	X
ajst-30905	36	2	15	15	NUM
ajst-30905	36	3	]	]	X
ajst-30905	36	4	extended	extend	VERB
ajst-30905	36	5	existing	exist	VERB
ajst-30905	36	6	steady	steady	ADJ
ajst-30905	36	7	-	-	PUNCT
ajst-30905	36	8	state	state	NOUN
ajst-30905	36	9	models	model	NOUN
ajst-30905	36	10	to	to	PART
ajst-30905	36	11	transient	transient	VERB
ajst-30905	36	12	models	model	NOUN
ajst-30905	36	13	capable	capable	ADJ
ajst-30905	36	14	of	of	ADP
ajst-30905	36	15	describing	describe	VERB
ajst-30905	36	16	the	the	DET
ajst-30905	36	17	alternate	alternate	ADJ
ajst-30905	36	18	injection	injection	NOUN
ajst-30905	36	19	of	of	ADP
ajst-30905	36	20	air	air	NOUN
ajst-30905	36	21	and	and	CCONJ
ajst-30905	36	22	steam	steam	NOUN
ajst-30905	36	23	into	into	ADP
ajst-30905	36	24	deep	deep	ADJ
ajst-30905	36	25	thin	thin	ADJ
ajst-30905	36	26	coal	coal	NOUN
ajst-30905	36	27	seams	seam	NOUN
ajst-30905	36	28	.	.	PUNCT
ajst-30905	37	1	experimental	experimental	ADJ
ajst-30905	37	2	results	result	NOUN
ajst-30905	37	3	showed	show	VERB
ajst-30905	37	4	that	that	SCONJ
ajst-30905	37	5	this	this	DET
ajst-30905	37	6	model	model	NOUN
ajst-30905	37	7	could	could	AUX
ajst-30905	37	8	predict	predict	VERB
ajst-30905	37	9	gas	gas	NOUN
ajst-30905	37	10	compositions	composition	NOUN
ajst-30905	37	11	more	more	ADV
ajst-30905	37	12	accurately	accurately	ADV
ajst-30905	37	13	than	than	ADP
ajst-30905	37	14	the	the	DET
ajst-30905	37	15	aforementioned	aforementioned	ADJ
ajst-30905	37	16	models	model	NOUN
ajst-30905	37	17	.	.	PUNCT
ajst-30905	38	1	subsequently	subsequently	ADV
ajst-30905	38	2	,	,	PUNCT
ajst-30905	38	3	the	the	DET
ajst-30905	38	4	authors	author	NOUN
ajst-30905	38	5	validated	validate	VERB
ajst-30905	38	6	the	the	DET
ajst-30905	38	7	model	model	NOUN
ajst-30905	38	8	on	on	ADP
ajst-30905	38	9	field	field	NOUN
ajst-30905	38	10	test	test	NOUN
ajst-30905	38	11	data	datum	NOUN
ajst-30905	38	12	,	,	PUNCT
ajst-30905	38	13	confirming	confirm	VERB
ajst-30905	38	14	the	the	DET
ajst-30905	38	15	accuracy	accuracy	NOUN
ajst-30905	38	16	of	of	ADP
ajst-30905	38	17	its	its	PRON
ajst-30905	38	18	gas	gas	NOUN
ajst-30905	38	19	composition	composition	NOUN
ajst-30905	38	20	predictions	prediction	NOUN
ajst-30905	38	21	.	.	PUNCT
ajst-30905	39	1	overall	overall	ADV
ajst-30905	39	2	,	,	PUNCT
ajst-30905	39	3	the	the	DET
ajst-30905	39	4	theoretical	theoretical	ADJ
ajst-30905	39	5	model	model	NOUN
ajst-30905	39	6	prediction	prediction	NOUN
ajst-30905	39	7	methods	method	NOUN
ajst-30905	39	8	for	for	ADP
ajst-30905	39	9	ucg	ucg	NOUN
ajst-30905	39	10	have	have	VERB
ajst-30905	39	11	lower	low	ADJ
ajst-30905	39	12	accuracy	accuracy	NOUN
ajst-30905	39	13	than	than	ADP
ajst-30905	39	14	that	that	PRON
ajst-30905	39	15	of	of	ADP
ajst-30905	39	16	other	other	ADJ
ajst-30905	39	17	techniques	technique	NOUN
ajst-30905	39	18	,	,	PUNCT
ajst-30905	39	19	focus	focus	VERB
ajst-30905	39	20	on	on	ADP
ajst-30905	39	21	the	the	DET
ajst-30905	39	22	final	final	ADJ
ajst-30905	39	23	syngas	syngas	NOUN
ajst-30905	39	24	composition	composition	NOUN
ajst-30905	39	25	and	and	CCONJ
ajst-30905	39	26	concentration	concentration	NOUN
ajst-30905	39	27	,	,	PUNCT
ajst-30905	39	28	and	and	CCONJ
ajst-30905	39	29	are	be	AUX
ajst-30905	39	30	unable	unable	ADJ
ajst-30905	39	31	to	to	PART
ajst-30905	39	32	provide	provide	VERB
ajst-30905	39	33	real	real	ADJ
ajst-30905	39	34	-	-	PUNCT
ajst-30905	39	35	time	time	NOUN
ajst-30905	39	36	predictions	prediction	NOUN
ajst-30905	39	37	.	.	PUNCT
ajst-30905	40	1	experimental	experimental	ADJ
ajst-30905	40	2	data	datum	NOUN
ajst-30905	40	3	prediction	prediction	NOUN
ajst-30905	40	4	methods	method	NOUN
ajst-30905	40	5	:	:	PUNCT
ajst-30905	40	6	durdán	durdán	PROPN
ajst-30905	40	7	milan	milan	PROPN
ajst-30905	40	8	et	et	PROPN
ajst-30905	40	9	al	al	PROPN
ajst-30905	40	10	.	.	PUNCT
ajst-30905	41	1	[	[	X
ajst-30905	41	2	16	16	NUM
ajst-30905	41	3	]	]	PUNCT
ajst-30905	41	4	explored	explore	VERB
ajst-30905	41	5	the	the	DET
ajst-30905	41	6	possibility	possibility	NOUN
ajst-30905	41	7	of	of	ADP
ajst-30905	41	8	183	183	NUM
ajst-30905	41	9	predicting	predict	VERB
ajst-30905	41	10	temperature	temperature	NOUN
ajst-30905	41	11	data	datum	NOUN
ajst-30905	41	12	in	in	ADP
ajst-30905	41	13	ucg	ucg	PROPN
ajst-30905	41	14	experiments	experiment	NOUN
ajst-30905	41	15	,	,	PUNCT
ajst-30905	41	16	by	by	ADP
ajst-30905	41	17	proposing	propose	VERB
ajst-30905	41	18	regression	regression	NOUN
ajst-30905	41	19	models	model	NOUN
ajst-30905	41	20	with	with	ADP
ajst-30905	41	21	different	different	ADJ
ajst-30905	41	22	structures	structure	NOUN
ajst-30905	41	23	for	for	ADP
ajst-30905	41	24	visualizing	visualize	VERB
ajst-30905	41	25	the	the	DET
ajst-30905	41	26	growth	growth	NOUN
ajst-30905	41	27	of	of	ADP
ajst-30905	41	28	gasification	gasification	NOUN
ajst-30905	41	29	cavities	cavity	NOUN
ajst-30905	41	30	.	.	PUNCT
ajst-30905	42	1	najaf	najaf	PROPN
ajst-30905	42	2	mehdi	mehdi	PROPN
ajst-30905	42	3	et	et	PROPN
ajst-30905	42	4	al	al	PROPN
ajst-30905	42	5	.	.	PUNCT
ajst-30905	43	1	[	[	X
ajst-30905	43	2	17]developed	17]developed	NUM
ajst-30905	43	3	a	a	DET
ajst-30905	43	4	new	new	ADJ
ajst-30905	43	5	model	model	NOUN
ajst-30905	43	6	using	use	VERB
ajst-30905	43	7	multivariate	multivariate	NOUN
ajst-30905	43	8	regression	regression	NOUN
ajst-30905	43	9	analysis	analysis	NOUN
ajst-30905	43	10	to	to	PART
ajst-30905	43	11	predict	predict	VERB
ajst-30905	43	12	the	the	DET
ajst-30905	43	13	cavity	cavity	NOUN
ajst-30905	43	14	growth	growth	NOUN
ajst-30905	43	15	rate	rate	NOUN
ajst-30905	43	16	(	(	PUNCT
ajst-30905	43	17	cgr	cgr	PROPN
ajst-30905	43	18	)	)	PUNCT
ajst-30905	43	19	during	during	ADP
ajst-30905	43	20	ucg	ucg	PROPN
ajst-30905	43	21	.	.	PUNCT
ajst-30905	44	1	the	the	DET
ajst-30905	44	2	researchers	researcher	NOUN
ajst-30905	44	3	collected	collect	VERB
ajst-30905	44	4	data	datum	NOUN
ajst-30905	44	5	from	from	ADP
ajst-30905	44	6	11	11	NUM
ajst-30905	44	7	ucg	ucg	NOUN
ajst-30905	44	8	field	field	NOUN
ajst-30905	44	9	tests	test	NOUN
ajst-30905	44	10	and	and	CCONJ
ajst-30905	44	11	constructed	construct	VERB
ajst-30905	44	12	an	an	DET
ajst-30905	44	13	empirical	empirical	ADJ
ajst-30905	44	14	model	model	NOUN
ajst-30905	44	15	using	use	VERB
ajst-30905	44	16	nonlinear	nonlinear	ADJ
ajst-30905	44	17	regression	regression	NOUN
ajst-30905	44	18	analysis	analysis	NOUN
ajst-30905	44	19	.	.	PUNCT
ajst-30905	45	1	this	this	DET
ajst-30905	45	2	model	model	NOUN
ajst-30905	45	3	accurately	accurately	ADV
ajst-30905	45	4	predicted	predict	VERB
ajst-30905	45	5	the	the	DET
ajst-30905	45	6	cgr	cgr	PROPN
ajst-30905	45	7	and	and	CCONJ
ajst-30905	45	8	demonstrated	demonstrate	VERB
ajst-30905	45	9	greater	great	ADJ
ajst-30905	45	10	predictive	predictive	ADJ
ajst-30905	45	11	reliability	reliability	NOUN
ajst-30905	45	12	than	than	SCONJ
ajst-30905	45	13	did	do	VERB
ajst-30905	45	14	the	the	DET
ajst-30905	45	15	perkins	perkins	PROPN
ajst-30905	45	16	model	model	PROPN
ajst-30905	45	17	.	.	PUNCT
ajst-30905	46	1	kaur	kaur	PROPN
ajst-30905	46	2	et	et	PROPN
ajst-30905	46	3	al	al	PROPN
ajst-30905	46	4	.	.	PUNCT
ajst-30905	47	1	[	[	X
ajst-30905	47	2	18	18	NUM
ajst-30905	47	3	]	]	PUNCT
ajst-30905	47	4	used	use	VERB
ajst-30905	47	5	support	support	NOUN
ajst-30905	47	6	vector	vector	NOUN
ajst-30905	47	7	machine	machine	NOUN
ajst-30905	47	8	methods	method	NOUN
ajst-30905	47	9	to	to	PART
ajst-30905	47	10	predict	predict	VERB
ajst-30905	47	11	calorific	calorific	ADJ
ajst-30905	47	12	value	value	NOUN
ajst-30905	47	13	and	and	CCONJ
ajst-30905	47	14	temperature	temperature	NOUN
ajst-30905	47	15	data	datum	NOUN
ajst-30905	47	16	obtained	obtain	VERB
ajst-30905	47	17	under	under	ADP
ajst-30905	47	18	laboratory	laboratory	NOUN
ajst-30905	47	19	conditions	condition	NOUN
ajst-30905	47	20	in	in	ADP
ajst-30905	47	21	ucg	ucg	PROPN
ajst-30905	47	22	experiments	experiment	NOUN
ajst-30905	47	23	.	.	PUNCT
ajst-30905	48	1	krzemien	krzemien	PROPN
ajst-30905	48	2	alicja	alicja	PROPN
ajst-30905	48	3	et	et	PROPN
ajst-30905	48	4	al	al	PROPN
ajst-30905	48	5	.	.	PUNCT
ajst-30905	49	1	[	[	X
ajst-30905	49	2	19	19	NUM
ajst-30905	49	3	]	]	PUNCT
ajst-30905	49	4	developed	develop	VERB
ajst-30905	49	5	a	a	DET
ajst-30905	49	6	temperature	temperature	NOUN
ajst-30905	49	7	prediction	prediction	NOUN
ajst-30905	49	8	model	model	NOUN
ajst-30905	49	9	using	use	VERB
ajst-30905	49	10	multivariate	multivariate	NOUN
ajst-30905	49	11	adaptive	adaptive	ADJ
ajst-30905	49	12	regression	regression	NOUN
ajst-30905	49	13	splines	spline	NOUN
ajst-30905	49	14	(	(	PUNCT
ajst-30905	49	15	mars	mar	NOUN
ajst-30905	49	16	)	)	PUNCT
ajst-30905	49	17	to	to	PART
ajst-30905	49	18	predict	predict	VERB
ajst-30905	49	19	the	the	DET
ajst-30905	49	20	fire	fire	NOUN
ajst-30905	49	21	risk	risk	NOUN
ajst-30905	49	22	encountered	encounter	VERB
ajst-30905	49	23	during	during	ADP
ajst-30905	49	24	ucg	ucg	PROPN
ajst-30905	49	25	.	.	PUNCT
ajst-30905	50	1	xiao	xiao	PROPN
ajst-30905	50	2	yuteng	yuteng	PROPN
ajst-30905	50	3	et	et	PROPN
ajst-30905	50	4	al	al	PROPN
ajst-30905	50	5	.	.	PUNCT
ajst-30905	51	1	[	[	X
ajst-30905	51	2	20	20	NUM
ajst-30905	51	3	]	]	PUNCT
ajst-30905	51	4	proposed	propose	VERB
ajst-30905	51	5	a	a	DET
ajst-30905	51	6	dual	dual	ADJ
ajst-30905	51	7	-	-	PUNCT
ajst-30905	51	8	source	source	NOUN
ajst-30905	51	9	long	long	ADJ
ajst-30905	51	10	short	short	ADJ
ajst-30905	51	11	-	-	PUNCT
ajst-30905	51	12	term	term	NOUN
ajst-30905	51	13	memory	memory	NOUN
ajst-30905	51	14	(	(	PUNCT
ajst-30905	51	15	lstm	lstm	NOUN
ajst-30905	51	16	)	)	PUNCT
ajst-30905	51	17	prediction	prediction	NOUN
ajst-30905	51	18	model	model	NOUN
ajst-30905	51	19	to	to	ADP
ajst-30905	51	20	for	for	ADP
ajst-30905	51	21	predicting	predict	VERB
ajst-30905	51	22	ucg	ucg	PROPN
ajst-30905	51	23	statuses	status	NOUN
ajst-30905	51	24	and	and	CCONJ
ajst-30905	51	25	achieved	achieve	VERB
ajst-30905	51	26	better	well	ADJ
ajst-30905	51	27	prediction	prediction	NOUN
ajst-30905	51	28	accuracy	accuracy	NOUN
ajst-30905	51	29	than	than	ADP
ajst-30905	51	30	that	that	PRON
ajst-30905	51	31	of	of	ADP
ajst-30905	51	32	the	the	DET
ajst-30905	51	33	existing	exist	VERB
ajst-30905	51	34	methods	method	NOUN
ajst-30905	51	35	,	,	PUNCT
ajst-30905	51	36	with	with	ADP
ajst-30905	51	37	a	a	DET
ajst-30905	51	38	maximum	maximum	ADJ
ajst-30905	51	39	equivalence	equivalence	NOUN
ajst-30905	51	40	trend	trend	NOUN
ajst-30905	51	41	prediction	prediction	NOUN
ajst-30905	51	42	accuracy	accuracy	NOUN
ajst-30905	51	43	of	of	ADP
ajst-30905	51	44	90.99	90.99	NUM
ajst-30905	51	45	%	%	NOUN
ajst-30905	51	46	.	.	PUNCT
ajst-30905	52	1	compared	compare	VERB
ajst-30905	52	2	to	to	ADP
ajst-30905	52	3	theoretical	theoretical	ADJ
ajst-30905	52	4	model	model	NOUN
ajst-30905	52	5	predictions	prediction	NOUN
ajst-30905	52	6	approaches	approach	NOUN
ajst-30905	52	7	,	,	PUNCT
ajst-30905	52	8	experimental	experimental	ADJ
ajst-30905	52	9	data	datum	NOUN
ajst-30905	52	10	prediction	prediction	NOUN
ajst-30905	52	11	models	model	NOUN
ajst-30905	52	12	for	for	ADP
ajst-30905	52	13	ucg	ucg	NOUN
ajst-30905	52	14	enable	enable	VERB
ajst-30905	52	15	online	online	ADJ
ajst-30905	52	16	real	real	ADJ
ajst-30905	52	17	-	-	PUNCT
ajst-30905	52	18	time	time	NOUN
ajst-30905	52	19	prediction	prediction	NOUN
ajst-30905	52	20	capabilities	capability	NOUN
ajst-30905	52	21	and	and	CCONJ
ajst-30905	52	22	offer	offer	VERB
ajst-30905	52	23	greater	great	ADJ
ajst-30905	52	24	accuracy	accuracy	NOUN
ajst-30905	52	25	.	.	PUNCT
ajst-30905	53	1	the	the	DET
ajst-30905	53	2	transformer	transformer	ADJ
ajst-30905	53	3	model	model	NOUN
ajst-30905	53	4	[	[	X
ajst-30905	53	5	21	21	NUM
ajst-30905	53	6	]	]	X
ajst-30905	53	7	,	,	PUNCT
ajst-30905	53	8	which	which	PRON
ajst-30905	53	9	is	be	AUX
ajst-30905	53	10	a	a	DET
ajst-30905	53	11	deep	deep	ADJ
ajst-30905	53	12	learning	learning	NOUN
ajst-30905	53	13	model	model	NOUN
ajst-30905	53	14	,	,	PUNCT
ajst-30905	53	15	has	have	AUX
ajst-30905	53	16	been	be	AUX
ajst-30905	53	17	widely	widely	ADV
ajst-30905	53	18	applied	apply	VERB
ajst-30905	53	19	in	in	ADP
ajst-30905	53	20	the	the	DET
ajst-30905	53	21	natural	natural	ADJ
ajst-30905	53	22	language	language	NOUN
ajst-30905	53	23	processing	processing	NOUN
ajst-30905	53	24	(	(	PUNCT
ajst-30905	53	25	nlp	nlp	NOUN
ajst-30905	53	26	)	)	PUNCT
ajst-30905	53	27	and	and	CCONJ
ajst-30905	53	28	computer	computer	NOUN
ajst-30905	53	29	vision	vision	NOUN
ajst-30905	53	30	(	(	PUNCT
ajst-30905	53	31	cv	cv	NOUN
ajst-30905	53	32	)	)	PUNCT
ajst-30905	53	33	fields	field	NOUN
ajst-30905	53	34	.	.	PUNCT
ajst-30905	54	1	some	some	DET
ajst-30905	54	2	scholars	scholar	NOUN
ajst-30905	54	3	believe	believe	VERB
ajst-30905	54	4	it	it	PRON
ajst-30905	54	5	has	have	VERB
ajst-30905	54	6	the	the	DET
ajst-30905	54	7	potential	potential	NOUN
ajst-30905	54	8	to	to	PART
ajst-30905	54	9	provide	provide	VERB
ajst-30905	54	10	enhanced	enhanced	ADJ
ajst-30905	54	11	prediction	prediction	NOUN
ajst-30905	54	12	capabilities	capability	NOUN
ajst-30905	54	13	.	.	PUNCT
ajst-30905	55	1	however	however	ADV
ajst-30905	55	2	,	,	PUNCT
ajst-30905	55	3	due	due	ADP
ajst-30905	55	4	to	to	ADP
ajst-30905	55	5	its	its	PRON
ajst-30905	55	6	high	high	ADJ
ajst-30905	55	7	time	time	NOUN
ajst-30905	55	8	complexity	complexity	NOUN
ajst-30905	55	9	,	,	PUNCT
ajst-30905	55	10	high	high	ADJ
ajst-30905	55	11	memory	memory	NOUN
ajst-30905	55	12	utilization	utilization	NOUN
ajst-30905	55	13	rate	rate	NOUN
ajst-30905	55	14	,	,	PUNCT
ajst-30905	55	15	and	and	CCONJ
ajst-30905	55	16	drastic	drastic	ADJ
ajst-30905	55	17	prediction	prediction	NOUN
ajst-30905	55	18	rate	rate	NOUN
ajst-30905	55	19	decrease	decrease	NOUN
ajst-30905	55	20	,	,	PUNCT
ajst-30905	55	21	it	it	PRON
ajst-30905	55	22	can	can	AUX
ajst-30905	55	23	not	not	PART
ajst-30905	55	24	be	be	AUX
ajst-30905	55	25	directly	directly	ADV
ajst-30905	55	26	applied	apply	VERB
ajst-30905	55	27	to	to	ADP
ajst-30905	55	28	time	time	NOUN
ajst-30905	55	29	series	series	NOUN
ajst-30905	55	30	forecasting	forecasting	NOUN
ajst-30905	55	31	scenarios	scenario	NOUN
ajst-30905	55	32	.	.	PUNCT
ajst-30905	56	1	numerous	numerous	ADJ
ajst-30905	56	2	scholars	scholar	NOUN
ajst-30905	56	3	have	have	AUX
ajst-30905	56	4	made	make	VERB
ajst-30905	56	5	significant	significant	ADJ
ajst-30905	56	6	efforts	effort	NOUN
ajst-30905	56	7	to	to	PART
ajst-30905	56	8	address	address	VERB
ajst-30905	56	9	these	these	DET
ajst-30905	56	10	issues	issue	NOUN
ajst-30905	56	11	,	,	PUNCT
ajst-30905	56	12	by	by	ADP
ajst-30905	56	13	proposing	propose	VERB
ajst-30905	56	14	various	various	ADJ
ajst-30905	56	15	methods	method	NOUN
ajst-30905	56	16	.	.	PUNCT
ajst-30905	57	1	child	child	NOUN
ajst-30905	57	2	rewon	rewon	VERB
ajst-30905	57	3	et	et	PROPN
ajst-30905	57	4	al	al	PROPN
ajst-30905	57	5	.	.	PUNCT
ajst-30905	58	1	[	[	X
ajst-30905	58	2	22	22	NUM
ajst-30905	58	3	]	]	PUNCT
ajst-30905	58	4	considered	consider	VERB
ajst-30905	58	5	sparsely	sparsely	ADV
ajst-30905	58	6	decomposing	decompose	VERB
ajst-30905	58	7	the	the	DET
ajst-30905	58	8	attention	attention	NOUN
ajst-30905	58	9	matrix	matrix	NOUN
ajst-30905	58	10	.	.	PUNCT
ajst-30905	59	1	li	li	PROPN
ajst-30905	59	2	shiyang	shiyang	PROPN
ajst-30905	59	3	et	et	PROPN
ajst-30905	59	4	al	al	PROPN
ajst-30905	59	5	.	.	PUNCT
ajst-30905	60	1	[	[	X
ajst-30905	60	2	23	23	NUM
ajst-30905	60	3	]	]	PUNCT
ajst-30905	60	4	proposed	propose	VERB
ajst-30905	60	5	the	the	DET
ajst-30905	60	6	logsparse	logsparse	NOUN
ajst-30905	60	7	transformer	transformer	NOUN
ajst-30905	60	8	by	by	ADP
ajst-30905	60	9	,	,	PUNCT
ajst-30905	60	10	introducing	introduce	VERB
ajst-30905	60	11	a	a	DET
ajst-30905	60	12	convolutional	convolutional	ADJ
ajst-30905	60	13	self	self	NOUN
ajst-30905	60	14	-	-	PUNCT
ajst-30905	60	15	attention	attention	NOUN
ajst-30905	60	16	mechanism	mechanism	NOUN
ajst-30905	60	17	.	.	PUNCT
ajst-30905	61	1	beltagy	beltagy	ADJ
ajst-30905	61	2	iz	iz	ADP
ajst-30905	61	3	et	et	PROPN
ajst-30905	61	4	al	al	PROPN
ajst-30905	61	5	.	.	PUNCT
ajst-30905	62	1	[	[	X
ajst-30905	62	2	24	24	NUM
ajst-30905	62	3	]	]	PUNCT
ajst-30905	62	4	introduced	introduce	VERB
ajst-30905	62	5	an	an	DET
ajst-30905	62	6	attention	attention	NOUN
ajst-30905	62	7	mechanism	mechanism	NOUN
ajst-30905	62	8	called	call	VERB
ajst-30905	62	9	longformer	longformer	NOUN
ajst-30905	62	10	that	that	PRON
ajst-30905	62	11	scales	scale	VERB
ajst-30905	62	12	linearly	linearly	ADV
ajst-30905	62	13	with	with	ADP
ajst-30905	62	14	the	the	DET
ajst-30905	62	15	input	input	NOUN
ajst-30905	62	16	sequence	sequence	NOUN
ajst-30905	62	17	length	length	NOUN
ajst-30905	62	18	.	.	PUNCT
ajst-30905	63	1	wang	wang	PROPN
ajst-30905	63	2	sinong	sinong	PROPN
ajst-30905	63	3	et	et	PROPN
ajst-30905	63	4	al	al	PROPN
ajst-30905	63	5	.	.	PUNCT
ajst-30905	64	1	[	[	X
ajst-30905	64	2	25	25	NUM
ajst-30905	64	3	]	]	PUNCT
ajst-30905	64	4	proposed	propose	VERB
ajst-30905	64	5	a	a	DET
ajst-30905	64	6	new	new	ADJ
ajst-30905	64	7	self	self	NOUN
ajst-30905	64	8	-	-	PUNCT
ajst-30905	64	9	attention	attention	NOUN
ajst-30905	64	10	mechanism	mechanism	NOUN
ajst-30905	64	11	that	that	PRON
ajst-30905	64	12	reduces	reduce	VERB
ajst-30905	64	13	the	the	DET
ajst-30905	64	14	complexity	complexity	NOUN
ajst-30905	64	15	of	of	ADP
ajst-30905	64	16	self	self	NOUN
ajst-30905	64	17	-	-	PUNCT
ajst-30905	64	18	attention	attention	NOUN
ajst-30905	64	19	across	across	ADP
ajst-30905	64	20	time	time	NOUN
ajst-30905	64	21	and	and	CCONJ
ajst-30905	64	22	space	space	NOUN
ajst-30905	64	23	.	.	PUNCT
ajst-30905	65	1	zhou	zhou	PROPN
ajst-30905	65	2	h	h	PROPN
ajst-30905	65	3	et	et	PROPN
ajst-30905	65	4	al	al	PROPN
ajst-30905	65	5	.	.	PUNCT
ajst-30905	66	1	[	[	X
ajst-30905	66	2	26	26	NUM
ajst-30905	66	3	]	]	PUNCT
ajst-30905	66	4	designed	design	VERB
ajst-30905	66	5	an	an	DET
ajst-30905	66	6	efficient	efficient	ADJ
ajst-30905	66	7	transformer	transformer	NOUN
ajst-30905	66	8	-	-	PUNCT
ajst-30905	66	9	based	base	VERB
ajst-30905	66	10	lstf	lstf	NOUN
ajst-30905	66	11	model	model	NOUN
ajst-30905	66	12	,	,	PUNCT
ajst-30905	66	13	named	name	VERB
ajst-30905	66	14	informer	informer	NOUN
ajst-30905	66	15	.	.	PUNCT
ajst-30905	67	1	extensive	extensive	ADJ
ajst-30905	67	2	experiments	experiment	NOUN
ajst-30905	67	3	conducted	conduct	VERB
ajst-30905	67	4	on	on	ADP
ajst-30905	67	5	four	four	NUM
ajst-30905	67	6	large	large	ADJ
ajst-30905	67	7	-	-	PUNCT
ajst-30905	67	8	scale	scale	NOUN
ajst-30905	67	9	datasets	dataset	NOUN
ajst-30905	67	10	showed	show	VERB
ajst-30905	67	11	that	that	SCONJ
ajst-30905	67	12	the	the	DET
ajst-30905	67	13	informer	informer	ADJ
ajst-30905	67	14	algorithm	algorithm	NOUN
ajst-30905	67	15	significantly	significantly	ADV
ajst-30905	67	16	outperformed	outperform	VERB
ajst-30905	67	17	the	the	DET
ajst-30905	67	18	existing	exist	VERB
ajst-30905	67	19	methods	method	NOUN
ajst-30905	67	20	,	,	PUNCT
ajst-30905	67	21	providing	provide	VERB
ajst-30905	67	22	a	a	DET
ajst-30905	67	23	new	new	ADJ
ajst-30905	67	24	solution	solution	NOUN
ajst-30905	67	25	to	to	ADP
ajst-30905	67	26	the	the	DET
ajst-30905	67	27	lstf	lstf	NOUN
ajst-30905	67	28	problem	problem	NOUN
ajst-30905	67	29	.	.	PUNCT
ajst-30905	68	1	ucg	ucg	PROPN
ajst-30905	68	2	data	data	PROPN
ajst-30905	68	3	exhibit	exhibit	VERB
ajst-30905	68	4	high	high	ADV
ajst-30905	68	5	-	-	PUNCT
ajst-30905	68	6	dimensional	dimensional	ADJ
ajst-30905	68	7	,	,	PUNCT
ajst-30905	68	8	nonlinear	nonlinear	ADJ
ajst-30905	68	9	,	,	PUNCT
ajst-30905	68	10	and	and	CCONJ
ajst-30905	68	11	nonstationary	nonstationary	ADJ
ajst-30905	68	12	time	time	NOUN
ajst-30905	68	13	series	series	PROPN
ajst-30905	68	14	characteristics	characteristic	NOUN
ajst-30905	68	15	,	,	PUNCT
ajst-30905	68	16	which	which	PRON
ajst-30905	68	17	can	can	AUX
ajst-30905	68	18	hinder	hinder	VERB
ajst-30905	68	19	traditional	traditional	ADJ
ajst-30905	68	20	time	time	NOUN
ajst-30905	68	21	series	series	PROPN
ajst-30905	68	22	forecasting	forecasting	NOUN
ajst-30905	68	23	models	model	NOUN
ajst-30905	68	24	[	[	X
ajst-30905	68	25	27	27	NUM
ajst-30905	68	26	]	]	PUNCT
ajst-30905	68	27	.	.	PUNCT
ajst-30905	69	1	the	the	DET
ajst-30905	69	2	informer	informer	ADJ
ajst-30905	69	3	model	model	NOUN
ajst-30905	69	4	,	,	PUNCT
ajst-30905	69	5	which	which	PRON
ajst-30905	69	6	is	be	AUX
ajst-30905	69	7	a	a	DET
ajst-30905	69	8	time	time	NOUN
ajst-30905	69	9	series	series	NOUN
ajst-30905	69	10	forecasting	forecasting	NOUN
ajst-30905	69	11	model	model	NOUN
ajst-30905	69	12	based	base	VERB
ajst-30905	69	13	on	on	ADP
ajst-30905	69	14	selfattention	selfattention	NOUN
ajst-30905	69	15	mechanisms	mechanism	NOUN
ajst-30905	69	16	,	,	PUNCT
ajst-30905	69	17	can	can	AUX
ajst-30905	69	18	effectively	effectively	ADV
ajst-30905	69	19	handle	handle	VERB
ajst-30905	69	20	highdimensional	highdimensional	ADJ
ajst-30905	69	21	and	and	CCONJ
ajst-30905	69	22	complex	complex	ADJ
ajst-30905	69	23	time	time	NOUN
ajst-30905	69	24	series	series	PROPN
ajst-30905	69	25	data	data	PROPN
ajst-30905	69	26	.	.	PUNCT
ajst-30905	70	1	therefore	therefore	ADV
ajst-30905	70	2	,	,	PUNCT
ajst-30905	70	3	investigating	investigate	VERB
ajst-30905	70	4	the	the	DET
ajst-30905	70	5	ability	ability	NOUN
ajst-30905	70	6	of	of	ADP
ajst-30905	70	7	the	the	DET
ajst-30905	70	8	informer	informer	ADJ
ajst-30905	70	9	model	model	NOUN
ajst-30905	70	10	to	to	PART
ajst-30905	70	11	predict	predict	VERB
ajst-30905	70	12	the	the	DET
ajst-30905	70	13	calorific	calorific	ADJ
ajst-30905	70	14	values	value	NOUN
ajst-30905	70	15	of	of	ADP
ajst-30905	70	16	ucg	ucg	PROPN
ajst-30905	70	17	syngas	syngas	NOUN
ajst-30905	70	18	is	be	AUX
ajst-30905	70	19	highly	highly	ADV
ajst-30905	70	20	important	important	ADJ
ajst-30905	70	21	.	.	PUNCT
ajst-30905	71	1	to	to	ADP
ajst-30905	71	2	the	the	DET
ajst-30905	71	3	best	good	ADJ
ajst-30905	71	4	of	of	ADP
ajst-30905	71	5	the	the	DET
ajst-30905	71	6	author	author	NOUN
ajst-30905	71	7	's	's	PART
ajst-30905	71	8	knowledge	knowledge	NOUN
ajst-30905	71	9	,	,	PUNCT
ajst-30905	71	10	the	the	DET
ajst-30905	71	11	previous	previous	ADJ
ajst-30905	71	12	research	research	NOUN
ajst-30905	71	13	on	on	ADP
ajst-30905	71	14	ucg	ucg	PROPN
ajst-30905	71	15	syngas	syngas	NOUN
ajst-30905	71	16	calorific	calorific	NOUN
ajst-30905	71	17	value	value	NOUN
ajst-30905	71	18	prediction	prediction	NOUN
ajst-30905	71	19	focused	focus	VERB
ajst-30905	71	20	primarily	primarily	ADV
ajst-30905	71	21	on	on	ADP
ajst-30905	71	22	theoretical	theoretical	ADJ
ajst-30905	71	23	models	model	NOUN
ajst-30905	71	24	for	for	ADP
ajst-30905	71	25	obtaining	obtain	VERB
ajst-30905	71	26	short	short	ADJ
ajst-30905	71	27	-	-	PUNCT
ajst-30905	71	28	sequence	sequence	NOUN
ajst-30905	71	29	predictions	prediction	NOUN
ajst-30905	71	30	,	,	PUNCT
ajst-30905	71	31	with	with	ADP
ajst-30905	71	32	limited	limited	ADJ
ajst-30905	71	33	related	related	ADJ
ajst-30905	71	34	studies	study	NOUN
ajst-30905	71	35	and	and	CCONJ
ajst-30905	71	36	applications	application	NOUN
ajst-30905	71	37	.	.	PUNCT
ajst-30905	72	1	research	research	NOUN
ajst-30905	72	2	on	on	ADP
ajst-30905	72	3	applying	apply	VERB
ajst-30905	72	4	the	the	DET
ajst-30905	72	5	informer	informer	ADJ
ajst-30905	72	6	model	model	NOUN
ajst-30905	72	7	in	in	ADP
ajst-30905	72	8	this	this	DET
ajst-30905	72	9	field	field	NOUN
ajst-30905	72	10	is	be	AUX
ajst-30905	72	11	lacking	lack	VERB
ajst-30905	72	12	.	.	PUNCT
ajst-30905	73	1	to	to	PART
ajst-30905	73	2	explore	explore	VERB
ajst-30905	73	3	the	the	DET
ajst-30905	73	4	performance	performance	NOUN
ajst-30905	73	5	of	of	ADP
ajst-30905	73	6	the	the	DET
ajst-30905	73	7	informer	informer	ADJ
ajst-30905	73	8	model	model	NOUN
ajst-30905	73	9	in	in	ADP
ajst-30905	73	10	terms	term	NOUN
ajst-30905	73	11	of	of	ADP
ajst-30905	73	12	predicting	predict	VERB
ajst-30905	73	13	the	the	DET
ajst-30905	73	14	calorific	calorific	ADJ
ajst-30905	73	15	value	value	NOUN
ajst-30905	73	16	of	of	ADP
ajst-30905	73	17	ucg	ucg	PROPN
ajst-30905	73	18	syngas	syngas	NOUN
ajst-30905	73	19	,	,	PUNCT
ajst-30905	73	20	this	this	DET
ajst-30905	73	21	study	study	NOUN
ajst-30905	73	22	used	use	VERB
ajst-30905	73	23	laboratory	laboratory	NOUN
ajst-30905	73	24	-	-	PUNCT
ajst-30905	73	25	acquired	acquire	VERB
ajst-30905	73	26	ucg	ucg	PROPN
ajst-30905	73	27	syngas	syngas	NOUN
ajst-30905	73	28	calorific	calorific	NOUN
ajst-30905	73	29	value	value	NOUN
ajst-30905	73	30	data	datum	NOUN
ajst-30905	73	31	as	as	ADP
ajst-30905	73	32	an	an	DET
ajst-30905	73	33	example	example	NOUN
ajst-30905	73	34	.	.	PUNCT
ajst-30905	74	1	through	through	ADP
ajst-30905	74	2	simulated	simulated	ADJ
ajst-30905	74	3	experiments	experiment	NOUN
ajst-30905	74	4	,	,	PUNCT
ajst-30905	74	5	experimental	experimental	ADJ
ajst-30905	74	6	ucg	ucg	PROPN
ajst-30905	74	7	data	datum	NOUN
ajst-30905	74	8	were	be	AUX
ajst-30905	74	9	collected	collect	VERB
ajst-30905	74	10	for	for	ADP
ajst-30905	74	11	different	different	ADJ
ajst-30905	74	12	gasification	gasification	NOUN
ajst-30905	74	13	channel	channel	NOUN
ajst-30905	74	14	types	type	NOUN
ajst-30905	74	15	,	,	PUNCT
ajst-30905	74	16	and	and	CCONJ
ajst-30905	74	17	a	a	DET
ajst-30905	74	18	corresponding	correspond	VERB
ajst-30905	74	19	prediction	prediction	NOUN
ajst-30905	74	20	framework	framework	NOUN
ajst-30905	74	21	was	be	AUX
ajst-30905	74	22	established	establish	VERB
ajst-30905	74	23	.	.	PUNCT
ajst-30905	75	1	subsequently	subsequently	ADV
ajst-30905	75	2	,	,	PUNCT
ajst-30905	75	3	these	these	DET
ajst-30905	75	4	datasets	dataset	NOUN
ajst-30905	75	5	were	be	AUX
ajst-30905	75	6	used	use	VERB
ajst-30905	75	7	to	to	PART
ajst-30905	75	8	train	train	VERB
ajst-30905	75	9	the	the	DET
ajst-30905	75	10	informer	informer	ADJ
ajst-30905	75	11	model	model	NOUN
ajst-30905	75	12	,	,	PUNCT
ajst-30905	75	13	and	and	CCONJ
ajst-30905	75	14	its	its	PRON
ajst-30905	75	15	predictive	predictive	ADJ
ajst-30905	75	16	performance	performance	NOUN
ajst-30905	75	17	was	be	AUX
ajst-30905	75	18	comprehensively	comprehensively	ADV
ajst-30905	75	19	evaluated	evaluate	VERB
ajst-30905	75	20	by	by	ADP
ajst-30905	75	21	assessing	assess	VERB
ajst-30905	75	22	the	the	DET
ajst-30905	75	23	prediction	prediction	NOUN
ajst-30905	75	24	accuracy	accuracy	NOUN
ajst-30905	75	25	achieved	achieve	VERB
ajst-30905	75	26	across	across	ADP
ajst-30905	75	27	different	different	ADJ
ajst-30905	75	28	datasets	dataset	NOUN
ajst-30905	75	29	.	.	PUNCT
ajst-30905	76	1	the	the	DET
ajst-30905	76	2	research	research	NOUN
ajst-30905	76	3	work	work	NOUN
ajst-30905	76	4	conducted	conduct	VERB
ajst-30905	76	5	in	in	ADP
ajst-30905	76	6	this	this	DET
ajst-30905	76	7	paper	paper	NOUN
ajst-30905	76	8	is	be	AUX
ajst-30905	76	9	outlined	outline	VERB
ajst-30905	76	10	as	as	SCONJ
ajst-30905	76	11	follows	follow	VERB
ajst-30905	76	12	:	:	PUNCT
ajst-30905	76	13	(	(	PUNCT
ajst-30905	76	14	1	1	X
ajst-30905	76	15	)	)	PUNCT
ajst-30905	76	16	an	an	DET
ajst-30905	76	17	in	in	ADP
ajst-30905	76	18	-	-	PUNCT
ajst-30905	76	19	depth	depth	NOUN
ajst-30905	76	20	analysis	analysis	NOUN
ajst-30905	76	21	of	of	ADP
ajst-30905	76	22	the	the	DET
ajst-30905	76	23	ucg	ucg	PROPN
ajst-30905	76	24	mechanism	mechanism	NOUN
ajst-30905	76	25	was	be	AUX
ajst-30905	76	26	conducted	conduct	VERB
ajst-30905	76	27	to	to	PART
ajst-30905	76	28	select	select	VERB
ajst-30905	76	29	appropriate	appropriate	ADJ
ajst-30905	76	30	feature	feature	NOUN
ajst-30905	76	31	variables	variable	NOUN
ajst-30905	76	32	for	for	ADP
ajst-30905	76	33	the	the	DET
ajst-30905	76	34	input	input	NOUN
ajst-30905	76	35	model	model	NOUN
ajst-30905	76	36	.	.	PUNCT
ajst-30905	77	1	simulated	simulate	VERB
ajst-30905	77	2	experiments	experiment	NOUN
ajst-30905	77	3	were	be	AUX
ajst-30905	77	4	carried	carry	VERB
ajst-30905	77	5	out	out	ADP
ajst-30905	77	6	to	to	PART
ajst-30905	77	7	collect	collect	VERB
ajst-30905	77	8	experimental	experimental	ADJ
ajst-30905	77	9	ucg	ucg	PROPN
ajst-30905	77	10	data	datum	NOUN
ajst-30905	77	11	for	for	ADP
ajst-30905	77	12	different	different	ADJ
ajst-30905	77	13	gasification	gasification	NOUN
ajst-30905	77	14	channel	channel	NOUN
ajst-30905	77	15	types	type	NOUN
ajst-30905	77	16	.	.	PUNCT
ajst-30905	78	1	the	the	DET
ajst-30905	78	2	informer	informer	ADJ
ajst-30905	78	3	model	model	NOUN
ajst-30905	78	4	was	be	AUX
ajst-30905	78	5	then	then	ADV
ajst-30905	78	6	used	use	VERB
ajst-30905	78	7	for	for	ADP
ajst-30905	78	8	prediction	prediction	NOUN
ajst-30905	78	9	purposes	purpose	NOUN
ajst-30905	78	10	,	,	PUNCT
ajst-30905	78	11	and	and	CCONJ
ajst-30905	78	12	its	its	PRON
ajst-30905	78	13	performance	performance	NOUN
ajst-30905	78	14	was	be	AUX
ajst-30905	78	15	evaluated	evaluate	VERB
ajst-30905	78	16	from	from	ADP
ajst-30905	78	17	various	various	ADJ
ajst-30905	78	18	perspectives	perspective	NOUN
ajst-30905	78	19	using	use	VERB
ajst-30905	78	20	three	three	NUM
ajst-30905	78	21	indicators	indicator	NOUN
ajst-30905	78	22	:	:	PUNCT
ajst-30905	78	23	the	the	DET
ajst-30905	78	24	root	root	NOUN
ajst-30905	78	25	mean	mean	VERB
ajst-30905	78	26	square	square	ADJ
ajst-30905	78	27	error	error	NOUN
ajst-30905	78	28	(	(	PUNCT
ajst-30905	78	29	rmse	rmse	NOUN
ajst-30905	78	30	)	)	PUNCT
ajst-30905	78	31	,	,	PUNCT
ajst-30905	78	32	mean	mean	VERB
ajst-30905	78	33	absolute	absolute	ADJ
ajst-30905	78	34	error	error	NOUN
ajst-30905	78	35	(	(	PUNCT
ajst-30905	78	36	mae	mae	PROPN
ajst-30905	78	37	)	)	PUNCT
ajst-30905	78	38	,	,	PUNCT
ajst-30905	78	39	and	and	CCONJ
ajst-30905	78	40	coefficient	coefficient	NOUN
ajst-30905	78	41	of	of	ADP
ajst-30905	78	42	determination	determination	NOUN
ajst-30905	78	43	(	(	PUNCT
ajst-30905	78	44	r2	r2	PROPN
ajst-30905	78	45	)	)	PUNCT
ajst-30905	78	46	.	.	PUNCT
ajst-30905	79	1	(	(	PUNCT
ajst-30905	79	2	2	2	X
ajst-30905	79	3	)	)	PUNCT
ajst-30905	79	4	the	the	DET
ajst-30905	79	5	data	datum	NOUN
ajst-30905	79	6	processing	processing	NOUN
ajst-30905	79	7	strategy	strategy	NOUN
ajst-30905	79	8	involved	involve	VERB
ajst-30905	79	9	checking	check	VERB
ajst-30905	79	10	for	for	ADP
ajst-30905	79	11	missing	miss	VERB
ajst-30905	79	12	data	datum	NOUN
ajst-30905	79	13	,	,	PUNCT
ajst-30905	79	14	removing	remove	VERB
ajst-30905	79	15	outliers	outlier	NOUN
ajst-30905	79	16	,	,	PUNCT
ajst-30905	79	17	selecting	select	VERB
ajst-30905	79	18	key	key	ADJ
ajst-30905	79	19	parameters	parameter	NOUN
ajst-30905	79	20	,	,	PUNCT
ajst-30905	79	21	and	and	CCONJ
ajst-30905	79	22	adding	add	VERB
ajst-30905	79	23	necessary	necessary	ADJ
ajst-30905	79	24	parameters	parameter	NOUN
ajst-30905	79	25	.	.	PUNCT
ajst-30905	80	1	the	the	DET
ajst-30905	80	2	input	input	NOUN
ajst-30905	80	3	experiments	experiment	NOUN
ajst-30905	80	4	were	be	AUX
ajst-30905	80	5	designed	design	VERB
ajst-30905	80	6	based	base	VERB
ajst-30905	80	7	on	on	ADP
ajst-30905	80	8	pearson	pearson	PROPN
ajst-30905	80	9	correlation	correlation	NOUN
ajst-30905	80	10	coefficient	coefficient	NOUN
ajst-30905	80	11	results	result	VERB
ajst-30905	80	12	.	.	PUNCT
ajst-30905	81	1	the	the	DET
ajst-30905	81	2	findings	finding	NOUN
ajst-30905	81	3	indicated	indicate	VERB
ajst-30905	81	4	that	that	SCONJ
ajst-30905	81	5	different	different	ADJ
ajst-30905	81	6	input	input	NOUN
ajst-30905	81	7	combinations	combination	NOUN
ajst-30905	81	8	significantly	significantly	ADV
ajst-30905	81	9	affected	affect	VERB
ajst-30905	81	10	the	the	DET
ajst-30905	81	11	accuracy	accuracy	NOUN
ajst-30905	81	12	of	of	ADP
ajst-30905	81	13	the	the	DET
ajst-30905	81	14	developed	develop	VERB
ajst-30905	81	15	model	model	NOUN
ajst-30905	81	16	,	,	PUNCT
ajst-30905	81	17	highlighting	highlight	VERB
ajst-30905	81	18	the	the	DET
ajst-30905	81	19	necessity	necessity	NOUN
ajst-30905	81	20	of	of	ADP
ajst-30905	81	21	determining	determine	VERB
ajst-30905	81	22	the	the	DET
ajst-30905	81	23	optimal	optimal	ADJ
ajst-30905	81	24	input	input	NOUN
ajst-30905	81	25	combination	combination	NOUN
ajst-30905	81	26	.	.	PUNCT
ajst-30905	82	1	(	(	PUNCT
ajst-30905	82	2	3	3	X
ajst-30905	82	3	)	)	PUNCT
ajst-30905	82	4	multiple	multiple	ADJ
ajst-30905	82	5	evaluation	evaluation	NOUN
ajst-30905	82	6	metrics	metric	NOUN
ajst-30905	82	7	were	be	AUX
ajst-30905	82	8	calculated	calculate	VERB
ajst-30905	82	9	across	across	ADP
ajst-30905	82	10	four	four	NUM
ajst-30905	82	11	prediction	prediction	NOUN
ajst-30905	82	12	lengths	length	NOUN
ajst-30905	82	13	to	to	PART
ajst-30905	82	14	assess	assess	VERB
ajst-30905	82	15	the	the	DET
ajst-30905	82	16	predictive	predictive	ADJ
ajst-30905	82	17	ability	ability	NOUN
ajst-30905	82	18	of	of	ADP
ajst-30905	82	19	the	the	DET
ajst-30905	82	20	informer	informer	ADJ
ajst-30905	82	21	model	model	NOUN
ajst-30905	82	22	.	.	PUNCT
ajst-30905	83	1	under	under	ADP
ajst-30905	83	2	the	the	DET
ajst-30905	83	3	optimal	optimal	ADJ
ajst-30905	83	4	input	input	NOUN
ajst-30905	83	5	conditions	condition	NOUN
ajst-30905	83	6	,	,	PUNCT
ajst-30905	83	7	the	the	DET
ajst-30905	83	8	informer	informer	ADJ
ajst-30905	83	9	model	model	NOUN
ajst-30905	83	10	consistently	consistently	ADV
ajst-30905	83	11	performed	perform	VERB
ajst-30905	83	12	well	well	ADV
ajst-30905	83	13	in	in	ADP
ajst-30905	83	14	all	all	DET
ajst-30905	83	15	scenarios	scenario	NOUN
ajst-30905	83	16	.	.	PUNCT
ajst-30905	84	1	however	however	ADV
ajst-30905	84	2	,	,	PUNCT
ajst-30905	84	3	increasing	increase	VERB
ajst-30905	84	4	the	the	DET
ajst-30905	84	5	sampling	sample	VERB
ajst-30905	84	6	frequency	frequency	NOUN
ajst-30905	84	7	had	have	VERB
ajst-30905	84	8	a	a	DET
ajst-30905	84	9	minimal	minimal	ADJ
ajst-30905	84	10	impact	impact	NOUN
ajst-30905	84	11	on	on	ADP
ajst-30905	84	12	the	the	DET
ajst-30905	84	13	long	long	ADJ
ajst-30905	84	14	-	-	PUNCT
ajst-30905	84	15	sequence	sequence	NOUN
ajst-30905	84	16	prediction	prediction	NOUN
ajst-30905	84	17	effectiveness	effectiveness	NOUN
ajst-30905	84	18	of	of	ADP
ajst-30905	84	19	the	the	DET
ajst-30905	84	20	model	model	NOUN
ajst-30905	84	21	.	.	PUNCT
ajst-30905	85	1	(	(	PUNCT
ajst-30905	85	2	4	4	NUM
ajst-30905	85	3	)	)	PUNCT
ajst-30905	85	4	by	by	ADP
ajst-30905	85	5	integrating	integrate	VERB
ajst-30905	85	6	the	the	DET
ajst-30905	85	7	prediction	prediction	NOUN
ajst-30905	85	8	results	result	NOUN
ajst-30905	85	9	of	of	ADP
ajst-30905	85	10	the	the	DET
ajst-30905	85	11	informer	informer	ADJ
ajst-30905	85	12	model	model	NOUN
ajst-30905	85	13	with	with	ADP
ajst-30905	85	14	a	a	DET
ajst-30905	85	15	statistical	statistical	ADJ
ajst-30905	85	16	analysis	analysis	NOUN
ajst-30905	85	17	method	method	NOUN
ajst-30905	85	18	for	for	ADP
ajst-30905	85	19	determining	determine	VERB
ajst-30905	85	20	the	the	DET
ajst-30905	85	21	calorific	calorific	ADJ
ajst-30905	85	22	value	value	NOUN
ajst-30905	85	23	decline	decline	NOUN
ajst-30905	85	24	rate	rate	NOUN
ajst-30905	85	25	,	,	PUNCT
ajst-30905	85	26	the	the	DET
ajst-30905	85	27	points	point	NOUN
ajst-30905	85	28	at	at	ADP
ajst-30905	85	29	which	which	PRON
ajst-30905	85	30	the	the	DET
ajst-30905	85	31	calorific	calorific	ADJ
ajst-30905	85	32	value	value	NOUN
ajst-30905	85	33	abruptly	abruptly	ADV
ajst-30905	85	34	changed	change	VERB
ajst-30905	85	35	were	be	AUX
ajst-30905	85	36	identified	identify	VERB
ajst-30905	85	37	using	use	VERB
ajst-30905	85	38	statistical	statistical	ADJ
ajst-30905	85	39	measures	measure	NOUN
ajst-30905	85	40	such	such	ADJ
ajst-30905	85	41	as	as	ADP
ajst-30905	85	42	the	the	DET
ajst-30905	85	43	standard	standard	ADJ
ajst-30905	85	44	deviation	deviation	NOUN
ajst-30905	85	45	and	and	CCONJ
ajst-30905	85	46	mean	mean	VERB
ajst-30905	85	47	.	.	PUNCT
ajst-30905	86	1	this	this	DET
ajst-30905	86	2	approach	approach	NOUN
ajst-30905	86	3	enabled	enable	VERB
ajst-30905	86	4	the	the	DET
ajst-30905	86	5	determination	determination	NOUN
ajst-30905	86	6	of	of	ADP
ajst-30905	86	7	new	new	ADJ
ajst-30905	86	8	control	control	NOUN
ajst-30905	86	9	measures	measure	NOUN
ajst-30905	86	10	intervention	intervention	NOUN
ajst-30905	86	11	points	point	NOUN
ajst-30905	86	12	.	.	PUNCT
ajst-30905	87	1	2	2	X
ajst-30905	87	2	.	.	X
ajst-30905	87	3	informer	informer	NOUN
ajst-30905	87	4	model	model	VERB
ajst-30905	87	5	the	the	DET
ajst-30905	87	6	informer	informer	ADJ
ajst-30905	87	7	network	network	NOUN
ajst-30905	87	8	is	be	AUX
ajst-30905	87	9	one	one	NUM
ajst-30905	87	10	of	of	ADP
ajst-30905	87	11	the	the	DET
ajst-30905	87	12	most	most	ADV
ajst-30905	87	13	advanced	advanced	ADJ
ajst-30905	87	14	deep	deep	ADJ
ajst-30905	87	15	neural	neural	ADJ
ajst-30905	87	16	networks	network	NOUN
ajst-30905	87	17	,	,	PUNCT
ajst-30905	87	18	showing	show	VERB
ajst-30905	87	19	significant	significant	ADJ
ajst-30905	87	20	effectiveness	effectiveness	NOUN
ajst-30905	87	21	in	in	ADP
ajst-30905	87	22	many	many	ADJ
ajst-30905	87	23	time	time	NOUN
ajst-30905	87	24	series	series	PROPN
ajst-30905	87	25	prediction	prediction	NOUN
ajst-30905	87	26	tasks	task	NOUN
ajst-30905	87	27	.	.	PUNCT
ajst-30905	88	1	the	the	DET
ajst-30905	88	2	informer	informer	NOUN
ajst-30905	88	3	is	be	AUX
ajst-30905	88	4	a	a	DET
ajst-30905	88	5	time	time	NOUN
ajst-30905	88	6	series	series	NOUN
ajst-30905	88	7	forecasting	forecasting	NOUN
ajst-30905	88	8	model	model	NOUN
ajst-30905	88	9	based	base	VERB
ajst-30905	88	10	on	on	ADP
ajst-30905	88	11	a	a	DET
ajst-30905	88	12	transformer	transformer	ADJ
ajst-30905	88	13	architecture	architecture	NOUN
ajst-30905	88	14	that	that	PRON
ajst-30905	88	15	consists	consist	VERB
ajst-30905	88	16	of	of	ADP
ajst-30905	88	17	an	an	DET
ajst-30905	88	18	encoder	encoder	NOUN
ajst-30905	88	19	and	and	CCONJ
ajst-30905	88	20	a	a	DET
ajst-30905	88	21	decoder	decoder	NOUN
ajst-30905	88	22	,	,	PUNCT
ajst-30905	88	23	and	and	CCONJ
ajst-30905	88	24	was	be	AUX
ajst-30905	88	25	designed	design	VERB
ajst-30905	88	26	to	to	PART
ajst-30905	88	27	better	well	ADV
ajst-30905	88	28	capture	capture	VERB
ajst-30905	88	29	the	the	DET
ajst-30905	88	30	long	long	ADJ
ajst-30905	88	31	-	-	PUNCT
ajst-30905	88	32	term	term	NOUN
ajst-30905	88	33	dependencies	dependency	NOUN
ajst-30905	88	34	of	of	ADP
ajst-30905	88	35	time	time	NOUN
ajst-30905	88	36	series	series	PROPN
ajst-30905	88	37	data	data	PROPN
ajst-30905	88	38	.	.	PUNCT
ajst-30905	89	1	the	the	DET
ajst-30905	89	2	encoder	encoder	NOUN
ajst-30905	89	3	uses	use	VERB
ajst-30905	89	4	a	a	DET
ajst-30905	89	5	sparse	sparse	ADJ
ajst-30905	89	6	self	self	NOUN
ajst-30905	89	7	-	-	PUNCT
ajst-30905	89	8	attention	attention	NOUN
ajst-30905	89	9	mechanism	mechanism	NOUN
ajst-30905	89	10	to	to	PART
ajst-30905	89	11	robustly	robustly	ADV
ajst-30905	89	12	extract	extract	VERB
ajst-30905	89	13	long	long	ADJ
ajst-30905	89	14	-	-	PUNCT
ajst-30905	89	15	range	range	NOUN
ajst-30905	89	16	dependencies	dependency	NOUN
ajst-30905	89	17	from	from	ADP
ajst-30905	89	18	long	long	ADJ
ajst-30905	89	19	-	-	PUNCT
ajst-30905	89	20	sequence	sequence	NOUN
ajst-30905	89	21	inputs	input	NOUN
ajst-30905	89	22	.	.	PUNCT
ajst-30905	90	1	unlike	unlike	ADP
ajst-30905	90	2	traditional	traditional	ADJ
ajst-30905	90	3	self	self	NOUN
ajst-30905	90	4	-	-	PUNCT
ajst-30905	90	5	attention	attention	NOUN
ajst-30905	90	6	mechanisms	mechanism	NOUN
ajst-30905	90	7	,	,	PUNCT
ajst-30905	90	8	the	the	DET
ajst-30905	90	9	sparse	sparse	ADJ
ajst-30905	90	10	self	self	NOUN
ajst-30905	90	11	-	-	PUNCT
ajst-30905	90	12	attention	attention	NOUN
ajst-30905	90	13	significantly	significantly	ADV
ajst-30905	90	14	reduces	reduce	VERB
ajst-30905	90	15	the	the	DET
ajst-30905	90	16	temporal	temporal	ADJ
ajst-30905	90	17	complexity	complexity	NOUN
ajst-30905	90	18	and	and	CCONJ
ajst-30905	90	19	memory	memory	NOUN
ajst-30905	90	20	usage	usage	NOUN
ajst-30905	90	21	of	of	ADP
ajst-30905	90	22	the	the	DET
ajst-30905	90	23	model	model	NOUN
ajst-30905	90	24	,	,	PUNCT
ajst-30905	90	25	enhancing	enhance	VERB
ajst-30905	90	26	its	its	PRON
ajst-30905	90	27	efficiency	efficiency	NOUN
ajst-30905	90	28	in	in	ADP
ajst-30905	90	29	terms	term	NOUN
ajst-30905	90	30	of	of	ADP
ajst-30905	90	31	handling	handle	VERB
ajst-30905	90	32	long	long	ADJ
ajst-30905	90	33	-	-	PUNCT
ajst-30905	90	34	sequence	sequence	NOUN
ajst-30905	90	35	data	datum	NOUN
ajst-30905	90	36	and	and	CCONJ
ajst-30905	90	37	greatly	greatly	ADV
ajst-30905	90	38	reducing	reduce	VERB
ajst-30905	90	39	its	its	PRON
ajst-30905	90	40	computational	computational	ADJ
ajst-30905	90	41	resource	resource	NOUN
ajst-30905	90	42	consumption	consumption	NOUN
ajst-30905	90	43	.	.	PUNCT
ajst-30905	91	1	an	an	DET
ajst-30905	91	2	active	active	ADJ
ajst-30905	91	3	compression	compression	NOUN
ajst-30905	91	4	model	model	NOUN
ajst-30905	91	5	structure	structure	NOUN
ajst-30905	91	6	is	be	AUX
ajst-30905	91	7	employed	employ	VERB
ajst-30905	91	8	to	to	PART
ajst-30905	91	9	maintain	maintain	VERB
ajst-30905	91	10	a	a	DET
ajst-30905	91	11	performance	performance	NOUN
ajst-30905	91	12	level	level	NOUN
ajst-30905	91	13	similar	similar	ADJ
ajst-30905	91	14	to	to	ADP
ajst-30905	91	15	that	that	PRON
ajst-30905	91	16	of	of	ADP
ajst-30905	91	17	the	the	DET
ajst-30905	91	18	original	original	ADJ
ajst-30905	91	19	network	network	NOUN
ajst-30905	91	20	structure	structure	NOUN
ajst-30905	91	21	while	while	SCONJ
ajst-30905	91	22	its	its	PRON
ajst-30905	91	23	reducing	reduce	VERB
ajst-30905	91	24	spatial	spatial	ADJ
ajst-30905	91	25	complexity	complexity	NOUN
ajst-30905	91	26	.	.	PUNCT
ajst-30905	92	1	this	this	DET
ajst-30905	92	2	approach	approach	NOUN
ajst-30905	92	3	makes	make	VERB
ajst-30905	92	4	the	the	DET
ajst-30905	92	5	model	model	NOUN
ajst-30905	92	6	more	more	ADV
ajst-30905	92	7	efficient	efficient	ADJ
ajst-30905	92	8	when	when	SCONJ
ajst-30905	92	9	addressing	address	VERB
ajst-30905	92	10	large	large	ADJ
ajst-30905	92	11	-	-	PUNCT
ajst-30905	92	12	scale	scale	NOUN
ajst-30905	92	13	data	datum	NOUN
ajst-30905	92	14	.	.	PUNCT
ajst-30905	93	1	the	the	DET
ajst-30905	93	2	decoder	decoder	NOUN
ajst-30905	93	3	introduces	introduce	VERB
ajst-30905	93	4	a	a	DET
ajst-30905	93	5	generative	generative	ADJ
ajst-30905	93	6	decoding	decoding	NOUN
ajst-30905	93	7	method	method	NOUN
ajst-30905	93	8	that	that	PRON
ajst-30905	93	9	obtains	obtain	VERB
ajst-30905	93	10	long	long	ADJ
ajst-30905	93	11	-	-	PUNCT
ajst-30905	93	12	sequence	sequence	NOUN
ajst-30905	93	13	prediction	prediction	NOUN
ajst-30905	93	14	results	result	VERB
ajst-30905	93	15	through	through	ADP
ajst-30905	93	16	singlestep	singlestep	NOUN
ajst-30905	93	17	outputs	output	NOUN
ajst-30905	93	18	.	.	PUNCT
ajst-30905	94	1	this	this	DET
ajst-30905	94	2	approach	approach	NOUN
ajst-30905	94	3	prevents	prevent	VERB
ajst-30905	94	4	error	error	NOUN
ajst-30905	94	5	accumulation	accumulation	NOUN
ajst-30905	94	6	,	,	PUNCT
ajst-30905	94	7	which	which	PRON
ajst-30905	94	8	is	be	AUX
ajst-30905	94	9	a	a	DET
ajst-30905	94	10	common	common	ADJ
ajst-30905	94	11	shortcoming	shortcoming	NOUN
ajst-30905	94	12	of	of	ADP
ajst-30905	94	13	traditional	traditional	ADJ
ajst-30905	94	14	decoders	decoder	NOUN
ajst-30905	94	15	during	during	ADP
ajst-30905	94	16	multistep	multistep	ADJ
ajst-30905	94	17	prediction	prediction	NOUN
ajst-30905	94	18	tasks	task	NOUN
ajst-30905	94	19	.	.	PUNCT
ajst-30905	95	1	by	by	ADP
ajst-30905	95	2	incrementally	incrementally	ADV
ajst-30905	95	3	generating	generate	VERB
ajst-30905	95	4	the	the	DET
ajst-30905	95	5	prediction	prediction	NOUN
ajst-30905	95	6	value	value	NOUN
ajst-30905	95	7	at	at	ADP
ajst-30905	95	8	each	each	DET
ajst-30905	95	9	step	step	NOUN
ajst-30905	95	10	,	,	PUNCT
ajst-30905	95	11	the	the	DET
ajst-30905	95	12	generative	generative	ADJ
ajst-30905	95	13	decoder	decoder	NOUN
ajst-30905	95	14	significantly	significantly	ADV
ajst-30905	95	15	improves	improve	VERB
ajst-30905	95	16	the	the	DET
ajst-30905	95	17	accuracy	accuracy	NOUN
ajst-30905	95	18	of	of	ADP
ajst-30905	95	19	long	long	ADJ
ajst-30905	95	20	-	-	PUNCT
ajst-30905	95	21	sequence	sequence	NOUN
ajst-30905	95	22	predictions	prediction	NOUN
ajst-30905	95	23	.	.	PUNCT
ajst-30905	96	1	184	184	NUM
ajst-30905	96	2	due	due	ADP
ajst-30905	96	3	to	to	ADP
ajst-30905	96	4	these	these	DET
ajst-30905	96	5	improvements	improvement	NOUN
ajst-30905	96	6	,	,	PUNCT
ajst-30905	96	7	the	the	DET
ajst-30905	96	8	informer	informer	ADJ
ajst-30905	96	9	model	model	NOUN
ajst-30905	96	10	has	have	AUX
ajst-30905	96	11	demonstrated	demonstrate	VERB
ajst-30905	96	12	outstanding	outstanding	ADJ
ajst-30905	96	13	performance	performance	NOUN
ajst-30905	96	14	in	in	ADP
ajst-30905	96	15	many	many	ADJ
ajst-30905	96	16	time	time	NOUN
ajst-30905	96	17	series	series	PROPN
ajst-30905	96	18	prediction	prediction	NOUN
ajst-30905	96	19	tasks	task	NOUN
ajst-30905	96	20	.	.	PUNCT
ajst-30905	97	1	the	the	DET
ajst-30905	97	2	overall	overall	ADJ
ajst-30905	97	3	structure	structure	NOUN
ajst-30905	97	4	of	of	ADP
ajst-30905	97	5	the	the	DET
ajst-30905	97	6	informer	informer	ADJ
ajst-30905	97	7	model	model	NOUN
ajst-30905	97	8	is	be	AUX
ajst-30905	97	9	illustrated	illustrate	VERB
ajst-30905	97	10	in	in	ADP
ajst-30905	97	11	figure	figure	NOUN
ajst-30905	97	12	2	2	NUM
ajst-30905	97	13	,	,	PUNCT
ajst-30905	97	14	with	with	ADP
ajst-30905	97	15	the	the	DET
ajst-30905	97	16	encoder	encoder	NOUN
ajst-30905	97	17	on	on	ADP
ajst-30905	97	18	the	the	DET
ajst-30905	97	19	left	left	NOUN
ajst-30905	97	20	and	and	CCONJ
ajst-30905	97	21	the	the	DET
ajst-30905	97	22	decoder	decoder	NOUN
ajst-30905	97	23	on	on	ADP
ajst-30905	97	24	the	the	DET
ajst-30905	97	25	right	right	NOUN
ajst-30905	97	26	.	.	PUNCT
ajst-30905	98	1	this	this	DET
ajst-30905	98	2	architecture	architecture	NOUN
ajst-30905	98	3	enables	enable	VERB
ajst-30905	98	4	the	the	DET
ajst-30905	98	5	informer	informer	NOUN
ajst-30905	98	6	to	to	PART
ajst-30905	98	7	more	more	ADV
ajst-30905	98	8	effectively	effectively	ADV
ajst-30905	98	9	handle	handle	VERB
ajst-30905	98	10	complex	complex	ADJ
ajst-30905	98	11	time	time	NOUN
ajst-30905	98	12	series	series	NOUN
ajst-30905	98	13	prediction	prediction	NOUN
ajst-30905	98	14	tasks	task	NOUN
ajst-30905	98	15	than	than	SCONJ
ajst-30905	98	16	can	can	AUX
ajst-30905	98	17	other	other	ADJ
ajst-30905	98	18	approaches	approach	NOUN
ajst-30905	98	19	.	.	PUNCT
ajst-30905	99	1	by	by	ADP
ajst-30905	99	2	leveraging	leverage	VERB
ajst-30905	99	3	these	these	DET
ajst-30905	99	4	advanced	advanced	ADJ
ajst-30905	99	5	mechanisms	mechanism	NOUN
ajst-30905	99	6	,	,	PUNCT
ajst-30905	99	7	the	the	DET
ajst-30905	99	8	informer	informer	NOUN
ajst-30905	99	9	model	model	NOUN
ajst-30905	99	10	efficiently	efficiently	ADV
ajst-30905	99	11	processes	process	VERB
ajst-30905	99	12	highdimensional	highdimensional	NOUN
ajst-30905	99	13	,	,	PUNCT
ajst-30905	99	14	nonlinear	nonlinear	ADJ
ajst-30905	99	15	,	,	PUNCT
ajst-30905	99	16	and	and	CCONJ
ajst-30905	99	17	nonstationary	nonstationary	ADJ
ajst-30905	99	18	time	time	NOUN
ajst-30905	99	19	series	series	PROPN
ajst-30905	99	20	data	datum	NOUN
ajst-30905	99	21	that	that	PRON
ajst-30905	99	22	are	be	AUX
ajst-30905	99	23	typical	typical	ADJ
ajst-30905	99	24	of	of	ADP
ajst-30905	99	25	ucg	ucg	PROPN
ajst-30905	99	26	processes	process	NOUN
ajst-30905	99	27	,	,	PUNCT
ajst-30905	99	28	providing	provide	VERB
ajst-30905	99	29	accurate	accurate	ADJ
ajst-30905	99	30	and	and	CCONJ
ajst-30905	99	31	robust	robust	ADJ
ajst-30905	99	32	syngas	syngas	NOUN
ajst-30905	99	33	calorific	calorific	NOUN
ajst-30905	99	34	value	value	NOUN
ajst-30905	99	35	predictions	prediction	NOUN
ajst-30905	99	36	.	.	PUNCT
ajst-30905	100	1	this	this	DET
ajst-30905	100	2	capability	capability	NOUN
ajst-30905	100	3	is	be	AUX
ajst-30905	100	4	crucial	crucial	ADJ
ajst-30905	100	5	for	for	ADP
ajst-30905	100	6	optimizing	optimize	VERB
ajst-30905	100	7	ucg	ucg	NOUN
ajst-30905	100	8	operations	operation	NOUN
ajst-30905	100	9	and	and	CCONJ
ajst-30905	100	10	maintaining	maintain	VERB
ajst-30905	100	11	highquality	highquality	NOUN
ajst-30905	100	12	syngas	syngas	NOUN
ajst-30905	100	13	production	production	NOUN
ajst-30905	100	14	.	.	PUNCT
ajst-30905	101	1	2.1	2.1	NUM
ajst-30905	101	2	.	.	PUNCT
ajst-30905	101	3	prediction	prediction	NOUN
ajst-30905	101	4	model	model	NOUN
ajst-30905	101	5	framework	framework	NOUN
ajst-30905	101	6	the	the	DET
ajst-30905	101	7	basic	basic	ADJ
ajst-30905	101	8	framework	framework	NOUN
ajst-30905	101	9	for	for	ADP
ajst-30905	101	10	of	of	ADP
ajst-30905	101	11	the	the	DET
ajst-30905	101	12	syngas	syngas	NOUN
ajst-30905	101	13	calorific	calorific	NOUN
ajst-30905	101	14	value	value	NOUN
ajst-30905	101	15	prediction	prediction	NOUN
ajst-30905	101	16	model	model	NOUN
ajst-30905	101	17	included	include	VERB
ajst-30905	101	18	data	datum	NOUN
ajst-30905	101	19	collection	collection	NOUN
ajst-30905	101	20	,	,	PUNCT
ajst-30905	101	21	data	datum	NOUN
ajst-30905	101	22	preprocessing	preprocessing	NOUN
ajst-30905	101	23	,	,	PUNCT
ajst-30905	101	24	data	datum	NOUN
ajst-30905	101	25	splitting	splitting	NOUN
ajst-30905	101	26	,	,	PUNCT
ajst-30905	101	27	model	model	NOUN
ajst-30905	101	28	training	training	NOUN
ajst-30905	101	29	,	,	PUNCT
ajst-30905	101	30	and	and	CCONJ
ajst-30905	101	31	model	model	NOUN
ajst-30905	101	32	evaluation	evaluation	NOUN
ajst-30905	101	33	mechanisms	mechanism	NOUN
ajst-30905	101	34	.	.	PUNCT
ajst-30905	102	1	data	datum	NOUN
ajst-30905	102	2	collection	collection	NOUN
ajst-30905	102	3	:	:	PUNCT
ajst-30905	102	4	three	three	NUM
ajst-30905	102	5	different	different	ADJ
ajst-30905	102	6	ucg	ucg	NOUN
ajst-30905	102	7	simulation	simulation	NOUN
ajst-30905	102	8	experiments	experiment	NOUN
ajst-30905	102	9	with	with	ADP
ajst-30905	102	10	various	various	ADJ
ajst-30905	102	11	gasification	gasification	NOUN
ajst-30905	102	12	channels	channel	NOUN
ajst-30905	102	13	were	be	AUX
ajst-30905	102	14	established	establish	VERB
ajst-30905	102	15	to	to	PART
ajst-30905	102	16	collect	collect	VERB
ajst-30905	102	17	operational	operational	ADJ
ajst-30905	102	18	data	datum	NOUN
ajst-30905	102	19	,	,	PUNCT
ajst-30905	102	20	including	include	VERB
ajst-30905	102	21	gasifying	gasify	VERB
ajst-30905	102	22	agent	agent	NOUN
ajst-30905	102	23	types	type	NOUN
ajst-30905	102	24	,	,	PUNCT
ajst-30905	102	25	injection	injection	NOUN
ajst-30905	102	26	flow	flow	NOUN
ajst-30905	102	27	rates	rate	NOUN
ajst-30905	102	28	,	,	PUNCT
ajst-30905	102	29	oxygen	oxygen	NOUN
ajst-30905	102	30	concentrations	concentration	NOUN
ajst-30905	102	31	,	,	PUNCT
ajst-30905	102	32	and	and	CCONJ
ajst-30905	102	33	syngas	syngas	NOUN
ajst-30905	102	34	compositions	composition	NOUN
ajst-30905	102	35	.	.	PUNCT
ajst-30905	103	1	data	datum	NOUN
ajst-30905	103	2	preprocessing	preprocessing	NOUN
ajst-30905	103	3	:	:	PUNCT
ajst-30905	103	4	during	during	ADP
ajst-30905	103	5	the	the	DET
ajst-30905	103	6	comprehensive	comprehensive	ADJ
ajst-30905	103	7	training	training	NOUN
ajst-30905	103	8	and	and	CCONJ
ajst-30905	103	9	testing	testing	NOUN
ajst-30905	103	10	processes	process	NOUN
ajst-30905	103	11	,	,	PUNCT
ajst-30905	103	12	all	all	DET
ajst-30905	103	13	outliers	outlier	NOUN
ajst-30905	103	14	were	be	AUX
ajst-30905	103	15	removed	remove	VERB
ajst-30905	103	16	from	from	ADP
ajst-30905	103	17	the	the	DET
ajst-30905	103	18	actual	actual	ADJ
ajst-30905	103	19	operational	operational	ADJ
ajst-30905	103	20	data	datum	NOUN
ajst-30905	103	21	,	,	PUNCT
ajst-30905	103	22	and	and	CCONJ
ajst-30905	103	23	linear	linear	ADJ
ajst-30905	103	24	interpolation	interpolation	NOUN
ajst-30905	103	25	was	be	AUX
ajst-30905	103	26	used	use	VERB
ajst-30905	103	27	to	to	PART
ajst-30905	103	28	fill	fill	VERB
ajst-30905	103	29	in	in	ADP
ajst-30905	103	30	missing	miss	VERB
ajst-30905	103	31	values	value	NOUN
ajst-30905	103	32	.	.	PUNCT
ajst-30905	104	1	by	by	ADP
ajst-30905	104	2	deeply	deeply	ADV
ajst-30905	104	3	analyzing	analyze	VERB
ajst-30905	104	4	these	these	DET
ajst-30905	104	5	data	datum	NOUN
ajst-30905	104	6	,	,	PUNCT
ajst-30905	104	7	the	the	DET
ajst-30905	104	8	aim	aim	NOUN
ajst-30905	104	9	is	be	AUX
ajst-30905	104	10	was	be	AUX
ajst-30905	104	11	to	to	PART
ajst-30905	104	12	explore	explore	VERB
ajst-30905	104	13	the	the	DET
ajst-30905	104	14	pattern	pattern	NOUN
ajst-30905	104	15	variations	variation	NOUN
ajst-30905	104	16	exhibited	exhibit	VERB
ajst-30905	104	17	by	by	ADP
ajst-30905	104	18	the	the	DET
ajst-30905	104	19	syngas	syngas	NOUN
ajst-30905	104	20	calorific	calorific	NOUN
ajst-30905	104	21	value	value	NOUN
ajst-30905	104	22	under	under	ADP
ajst-30905	104	23	different	different	ADJ
ajst-30905	104	24	gasification	gasification	NOUN
ajst-30905	104	25	channels	channel	NOUN
ajst-30905	104	26	,	,	PUNCT
ajst-30905	104	27	thereby	thereby	ADV
ajst-30905	104	28	extracting	extract	VERB
ajst-30905	104	29	nine	nine	NUM
ajst-30905	104	30	characteristic	characteristic	ADJ
ajst-30905	104	31	variables	variable	NOUN
ajst-30905	104	32	as	as	ADP
ajst-30905	104	33	informer	informer	NOUN
ajst-30905	104	34	model	model	NOUN
ajst-30905	104	35	inputs	input	NOUN
ajst-30905	104	36	,	,	PUNCT
ajst-30905	104	37	with	with	ADP
ajst-30905	104	38	the	the	DET
ajst-30905	104	39	syngas	syngas	NOUN
ajst-30905	104	40	calorific	calorific	NOUN
ajst-30905	104	41	value	value	NOUN
ajst-30905	104	42	as	as	ADP
ajst-30905	104	43	the	the	DET
ajst-30905	104	44	target	target	NOUN
ajst-30905	104	45	prediction	prediction	NOUN
ajst-30905	104	46	variable	variable	NOUN
ajst-30905	104	47	,	,	PUNCT
ajst-30905	104	48	as	as	SCONJ
ajst-30905	104	49	shown	show	VERB
ajst-30905	104	50	in	in	ADP
ajst-30905	104	51	table	table	NOUN
ajst-30905	104	52	1	1	NUM
ajst-30905	104	53	.	.	PUNCT
ajst-30905	104	54	table	table	NOUN
ajst-30905	104	55	1	1	NUM
ajst-30905	104	56	.	.	PUNCT
ajst-30905	104	57	inputs	input	NOUN
ajst-30905	104	58	of	of	ADP
ajst-30905	104	59	informer	informer	NOUN
ajst-30905	104	60	.	.	PUNCT
ajst-30905	105	1	input	input	NOUN
ajst-30905	105	2	characteristic	characteristic	ADJ
ajst-30905	105	3	variable	variable	NOUN
ajst-30905	105	4	x1	x1	DET
ajst-30905	105	5	date	date	NOUN
ajst-30905	105	6	x2	x2	PROPN
ajst-30905	105	7	oxygen	oxygen	NOUN
ajst-30905	105	8	injection	injection	NOUN
ajst-30905	105	9	volume	volume	NOUN
ajst-30905	105	10	x3	x3	ADJ
ajst-30905	105	11	synthetic	synthetic	ADJ
ajst-30905	105	12	gas	gas	NOUN
ajst-30905	105	13	volume	volume	NOUN
ajst-30905	105	14	x4	x4	PROPN
ajst-30905	105	15	oxygen	oxygen	NOUN
ajst-30905	105	16	consumption	consumption	NOUN
ajst-30905	105	17	x5	x5	PROPN
ajst-30905	105	18	coal	coal	NOUN
ajst-30905	105	19	consumption	consumption	NOUN
ajst-30905	105	20	x6	x6	PROPN
ajst-30905	105	21	h2	h2	NOUN
ajst-30905	105	22	content	content	NOUN
ajst-30905	105	23	x7	x7	NOUN
ajst-30905	105	24	ch4	ch4	PROPN
ajst-30905	105	25	content	content	PROPN
ajst-30905	105	26	x8	x8	PROPN
ajst-30905	105	27	co	co	PROPN
ajst-30905	105	28	content	content	PROPN
ajst-30905	105	29	x9	x9	PROPN
ajst-30905	105	30	co2	co2	NOUN
ajst-30905	105	31	content	content	NOUN
ajst-30905	105	32	x10	x10	PRON
ajst-30905	105	33	(	(	PUNCT
ajst-30905	105	34	target	target	NOUN
ajst-30905	105	35	)	)	PUNCT
ajst-30905	105	36	syngas	syngas	NOUN
ajst-30905	105	37	calorific	calorific	NOUN
ajst-30905	105	38	value	value	NOUN
ajst-30905	105	39	data	datum	NOUN
ajst-30905	105	40	splitting	splitting	NOUN
ajst-30905	105	41	:	:	PUNCT
ajst-30905	105	42	in	in	ADP
ajst-30905	105	43	our	our	PRON
ajst-30905	105	44	work	work	NOUN
ajst-30905	105	45	,	,	PUNCT
ajst-30905	105	46	we	we	PRON
ajst-30905	105	47	split	split	VERB
ajst-30905	105	48	the	the	DET
ajst-30905	105	49	dataset	dataset	NOUN
ajst-30905	105	50	into	into	ADP
ajst-30905	105	51	training	training	NOUN
ajst-30905	105	52	,	,	PUNCT
ajst-30905	105	53	validation	validation	NOUN
ajst-30905	105	54	,	,	PUNCT
ajst-30905	105	55	and	and	CCONJ
ajst-30905	105	56	test	test	NOUN
ajst-30905	105	57	sets	set	NOUN
ajst-30905	105	58	at	at	ADP
ajst-30905	105	59	a	a	DET
ajst-30905	105	60	ratio	ratio	NOUN
ajst-30905	105	61	of	of	ADP
ajst-30905	105	62	7:3:1	7:3:1	NUM
ajst-30905	105	63	,	,	PUNCT
ajst-30905	105	64	which	which	PRON
ajst-30905	105	65	is	be	AUX
ajst-30905	105	66	a	a	DET
ajst-30905	105	67	conventional	conventional	ADJ
ajst-30905	105	68	data	data	NOUN
ajst-30905	105	69	splitting	splitting	NOUN
ajst-30905	105	70	strategy	strategy	NOUN
ajst-30905	105	71	.	.	PUNCT
ajst-30905	106	1	model	model	NOUN
ajst-30905	106	2	training	training	NOUN
ajst-30905	106	3	:	:	PUNCT
ajst-30905	106	4	the	the	DET
ajst-30905	106	5	pearson	pearson	NOUN
ajst-30905	106	6	correlation	correlation	NOUN
ajst-30905	106	7	between	between	ADP
ajst-30905	106	8	the	the	DET
ajst-30905	106	9	operational	operational	ADJ
ajst-30905	106	10	parameters	parameter	NOUN
ajst-30905	106	11	of	of	ADP
ajst-30905	106	12	each	each	DET
ajst-30905	106	13	dataset	dataset	NOUN
ajst-30905	106	14	was	be	AUX
ajst-30905	106	15	analyzed	analyze	VERB
ajst-30905	106	16	,	,	PUNCT
ajst-30905	106	17	and	and	CCONJ
ajst-30905	106	18	three	three	NUM
ajst-30905	106	19	input	input	NOUN
ajst-30905	106	20	experiments	experiment	NOUN
ajst-30905	106	21	were	be	AUX
ajst-30905	106	22	established	establish	VERB
ajst-30905	106	23	based	base	VERB
ajst-30905	106	24	on	on	ADP
ajst-30905	106	25	the	the	DET
ajst-30905	106	26	pearson	pearson	NOUN
ajst-30905	106	27	correlation	correlation	NOUN
ajst-30905	106	28	result	result	NOUN
ajst-30905	106	29	.	.	PUNCT
ajst-30905	107	1	we	we	PRON
ajst-30905	107	2	used	use	VERB
ajst-30905	107	3	the	the	DET
ajst-30905	107	4	informer	informer	ADJ
ajst-30905	107	5	model	model	NOUN
ajst-30905	107	6	for	for	ADP
ajst-30905	107	7	prediction	prediction	NOUN
ajst-30905	107	8	and	and	CCONJ
ajst-30905	107	9	conducted	conduct	VERB
ajst-30905	107	10	a	a	DET
ajst-30905	107	11	comparative	comparative	ADJ
ajst-30905	107	12	analysis	analysis	NOUN
ajst-30905	107	13	of	of	ADP
ajst-30905	107	14	the	the	DET
ajst-30905	107	15	performances	performance	NOUN
ajst-30905	107	16	achieved	achieve	VERB
ajst-30905	107	17	by	by	ADP
ajst-30905	107	18	the	the	DET
ajst-30905	107	19	informer	informer	ADJ
ajst-30905	107	20	model	model	NOUN
ajst-30905	107	21	on	on	ADP
ajst-30905	107	22	different	different	ADJ
ajst-30905	107	23	datasets	dataset	NOUN
ajst-30905	107	24	.	.	PUNCT
ajst-30905	108	1	additionally	additionally	ADV
ajst-30905	108	2	,	,	PUNCT
ajst-30905	108	3	we	we	PRON
ajst-30905	108	4	selected	select	VERB
ajst-30905	108	5	,	,	PUNCT
ajst-30905	108	6	compared	compare	VERB
ajst-30905	108	7	,	,	PUNCT
ajst-30905	108	8	and	and	CCONJ
ajst-30905	108	9	analyzed	analyze	VERB
ajst-30905	108	10	the	the	DET
ajst-30905	108	11	optimal	optimal	ADJ
ajst-30905	108	12	input	input	NOUN
ajst-30905	108	13	for	for	ADP
ajst-30905	108	14	each	each	DET
ajst-30905	108	15	model	model	NOUN
ajst-30905	108	16	.	.	PUNCT
ajst-30905	109	1	depending	depend	VERB
ajst-30905	109	2	on	on	ADP
ajst-30905	109	3	whether	whether	SCONJ
ajst-30905	109	4	the	the	DET
ajst-30905	109	5	input	input	NOUN
ajst-30905	109	6	was	be	AUX
ajst-30905	109	7	optimal	optimal	ADJ
ajst-30905	109	8	,	,	PUNCT
ajst-30905	109	9	we	we	PRON
ajst-30905	109	10	set	set	VERB
ajst-30905	109	11	different	different	ADJ
ajst-30905	109	12	sampling	sampling	NOUN
ajst-30905	109	13	frequencies	frequency	NOUN
ajst-30905	109	14	and	and	CCONJ
ajst-30905	109	15	prediction	prediction	NOUN
ajst-30905	109	16	lengths	length	NOUN
ajst-30905	109	17	,	,	PUNCT
ajst-30905	109	18	to	to	PART
ajst-30905	109	19	critically	critically	ADV
ajst-30905	109	20	evaluate	evaluate	VERB
ajst-30905	109	21	various	various	ADJ
ajst-30905	109	22	aspects	aspect	NOUN
ajst-30905	109	23	of	of	ADP
ajst-30905	109	24	the	the	DET
ajst-30905	109	25	informer	informer	ADJ
ajst-30905	109	26	model	model	NOUN
ajst-30905	109	27	.	.	PUNCT
ajst-30905	110	1	evaluation	evaluation	NOUN
ajst-30905	110	2	metrics	metric	NOUN
ajst-30905	110	3	:	:	PUNCT
ajst-30905	110	4	when	when	SCONJ
ajst-30905	110	5	measuring	measure	VERB
ajst-30905	110	6	the	the	DET
ajst-30905	110	7	performance	performance	NOUN
ajst-30905	110	8	of	of	ADP
ajst-30905	110	9	a	a	DET
ajst-30905	110	10	prediction	prediction	NOUN
ajst-30905	110	11	model	model	NOUN
ajst-30905	110	12	,	,	PUNCT
ajst-30905	110	13	it	it	PRON
ajst-30905	110	14	is	be	AUX
ajst-30905	110	15	crucial	crucial	ADJ
ajst-30905	110	16	to	to	PART
ajst-30905	110	17	use	use	VERB
ajst-30905	110	18	appropriate	appropriate	ADJ
ajst-30905	110	19	statistical	statistical	ADJ
ajst-30905	110	20	indicators	indicator	NOUN
ajst-30905	110	21	to	to	PART
ajst-30905	110	22	evaluate	evaluate	VERB
ajst-30905	110	23	the	the	DET
ajst-30905	110	24	degree	degree	NOUN
ajst-30905	110	25	of	of	ADP
ajst-30905	110	26	fit	fit	NOUN
ajst-30905	110	27	between	between	ADP
ajst-30905	110	28	the	the	DET
ajst-30905	110	29	predicted	predict	VERB
ajst-30905	110	30	and	and	CCONJ
ajst-30905	110	31	actual	actual	ADJ
ajst-30905	110	32	values	value	NOUN
ajst-30905	110	33	.	.	PUNCT
ajst-30905	111	1	these	these	DET
ajst-30905	111	2	indicators	indicator	NOUN
ajst-30905	111	3	include	include	VERB
ajst-30905	111	4	the	the	DET
ajst-30905	111	5	mae	mae	PROPN
ajst-30905	111	6	,	,	PUNCT
ajst-30905	111	7	rmse	rmse	NOUN
ajst-30905	111	8	,	,	PUNCT
ajst-30905	111	9	and	and	CCONJ
ajst-30905	111	10	r2	r2	PROPN
ajst-30905	111	11	.	.	PUNCT
ajst-30905	112	1	mae	mae	PROPN
ajst-30905	112	2	quantifies	quantifie	NOUN
ajst-30905	112	3	the	the	DET
ajst-30905	112	4	average	average	ADJ
ajst-30905	112	5	magnitude	magnitude	NOUN
ajst-30905	112	6	of	of	ADP
ajst-30905	112	7	errors	error	NOUN
ajst-30905	112	8	between	between	ADP
ajst-30905	112	9	the	the	DET
ajst-30905	112	10	predicted	predict	VERB
ajst-30905	112	11	and	and	CCONJ
ajst-30905	112	12	actual	actual	ADJ
ajst-30905	112	13	values	value	NOUN
ajst-30905	112	14	,	,	PUNCT
ajst-30905	112	15	assigning	assign	VERB
ajst-30905	112	16	equal	equal	ADJ
ajst-30905	112	17	weight	weight	NOUN
ajst-30905	112	18	to	to	ADP
ajst-30905	112	19	each	each	DET
ajst-30905	112	20	error	error	NOUN
ajst-30905	112	21	.	.	PUNCT
ajst-30905	113	1	𝑀𝐴𝐸	𝑀𝐴𝐸	NOUN
ajst-30905	113	2	1	1	NUM
ajst-30905	113	3	𝑁	𝑁	PROPN
ajst-30905	113	4	𝑃	𝑃	NOUN
ajst-30905	113	5	𝑃	𝑃	NOUN
ajst-30905	113	6	1	1	NUM
ajst-30905	113	7	rmse	rmse	NOUN
ajst-30905	113	8	uses	use	VERB
ajst-30905	113	9	the	the	DET
ajst-30905	113	10	average	average	NOUN
ajst-30905	113	11	of	of	ADP
ajst-30905	113	12	the	the	DET
ajst-30905	113	13	squared	square	VERB
ajst-30905	113	14	errors	error	NOUN
ajst-30905	113	15	as	as	ADP
ajst-30905	113	16	a	a	DET
ajst-30905	113	17	measure	measure	NOUN
ajst-30905	113	18	,	,	PUNCT
ajst-30905	113	19	making	make	VERB
ajst-30905	113	20	it	it	PRON
ajst-30905	113	21	more	more	ADV
ajst-30905	113	22	sensitive	sensitive	ADJ
ajst-30905	113	23	to	to	ADP
ajst-30905	113	24	outliers	outlier	NOUN
ajst-30905	113	25	.	.	PUNCT
ajst-30905	114	1	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
ajst-30905	114	2	1	1	NUM
ajst-30905	114	3	𝑁	𝑁	PROPN
ajst-30905	114	4	𝑃	𝑃	NOUN
ajst-30905	114	5	𝑃	𝑃	NOUN
ajst-30905	114	6	2	2	NUM
ajst-30905	114	7	r2	r2	NOUN
ajst-30905	114	8	reflects	reflect	VERB
ajst-30905	114	9	the	the	DET
ajst-30905	114	10	quality	quality	NOUN
ajst-30905	114	11	of	of	ADP
ajst-30905	114	12	the	the	DET
ajst-30905	114	13	model	model	NOUN
ajst-30905	114	14	's	's	PART
ajst-30905	114	15	fit	fit	NOUN
ajst-30905	114	16	to	to	ADP
ajst-30905	114	17	the	the	DET
ajst-30905	114	18	actual	actual	ADJ
ajst-30905	114	19	data	datum	NOUN
ajst-30905	114	20	.	.	PUNCT
ajst-30905	115	1	𝑅	𝑅	NOUN
ajst-30905	115	2	1	1	NUM
ajst-30905	115	3	∑	∑	PUNCT
ajst-30905	115	4	𝑃	𝑃	NOUN
ajst-30905	115	5	𝑃	𝑃	NOUN
ajst-30905	115	6	∑	∑	PUNCT
ajst-30905	115	7	𝑃	𝑃	NOUN
ajst-30905	115	8	𝑃	𝑃	NOUN
ajst-30905	115	9	3	3	NUM
ajst-30905	115	10	where	where	SCONJ
ajst-30905	115	11	𝑃	𝑃	VERB
ajst-30905	115	12	、	、	NOUN
ajst-30905	115	13	𝑃	𝑃	NOUN
ajst-30905	115	14	and	and	CCONJ
ajst-30905	115	15	𝑃	𝑃	PROPN
ajst-30905	115	16	represent	represent	VERB
ajst-30905	115	17	the	the	DET
ajst-30905	115	18	actual	actual	ADJ
ajst-30905	115	19	value	value	NOUN
ajst-30905	115	20	,	,	PUNCT
ajst-30905	115	21	predicted	predict	VERB
ajst-30905	115	22	value	value	NOUN
ajst-30905	115	23	,	,	PUNCT
ajst-30905	115	24	and	and	CCONJ
ajst-30905	115	25	mean	mean	ADJ
ajst-30905	115	26	value	value	NOUN
ajst-30905	115	27	,	,	PUNCT
ajst-30905	115	28	respectively	respectively	ADV
ajst-30905	115	29	.	.	PUNCT
ajst-30905	116	1	additionally	additionally	ADV
ajst-30905	116	2	,	,	PUNCT
ajst-30905	116	3	n	n	PRON
ajst-30905	116	4	denotes	denote	VERB
ajst-30905	116	5	the	the	DET
ajst-30905	116	6	number	number	NOUN
ajst-30905	116	7	of	of	ADP
ajst-30905	116	8	samples	sample	NOUN
ajst-30905	116	9	in	in	ADP
ajst-30905	116	10	the	the	DET
ajst-30905	116	11	dataset	dataset	NOUN
ajst-30905	116	12	.	.	PUNCT
ajst-30905	117	1	the	the	DET
ajst-30905	117	2	three	three	NUM
ajst-30905	117	3	of	of	ADP
ajst-30905	117	4	the	the	DET
ajst-30905	117	5	evaluation	evaluation	NOUN
ajst-30905	117	6	metrics	metric	NOUN
ajst-30905	117	7	(	(	PUNCT
ajst-30905	117	8	mae	mae	PROPN
ajst-30905	117	9	,	,	PUNCT
ajst-30905	117	10	rmse	rmse	ADJ
ajst-30905	117	11	)	)	PUNCT
ajst-30905	117	12	range	range	VERB
ajst-30905	117	13	from	from	ADP
ajst-30905	117	14	0	0	NUM
ajst-30905	117	15	to	to	ADP
ajst-30905	117	16	1	1	NUM
ajst-30905	117	17	,	,	PUNCT
ajst-30905	117	18	with	with	ADP
ajst-30905	117	19	smaller	small	ADJ
ajst-30905	117	20	values	value	NOUN
ajst-30905	117	21	indicating	indicate	VERB
ajst-30905	117	22	higher	high	ADJ
ajst-30905	117	23	prediction	prediction	NOUN
ajst-30905	117	24	accuracy	accuracy	NOUN
ajst-30905	117	25	.	.	PUNCT
ajst-30905	118	1	the	the	DET
ajst-30905	118	2	r2	r2	PROPN
ajst-30905	118	3	value	value	NOUN
ajst-30905	118	4	ranges	range	VERB
ajst-30905	118	5	from	from	ADP
ajst-30905	118	6	0	0	NUM
ajst-30905	118	7	to	to	ADP
ajst-30905	118	8	1	1	NUM
ajst-30905	118	9	,	,	PUNCT
ajst-30905	118	10	with	with	ADP
ajst-30905	118	11	higher	high	ADJ
ajst-30905	118	12	values	value	NOUN
ajst-30905	118	13	representing	represent	VERB
ajst-30905	118	14	more	more	ADV
ajst-30905	118	15	accurate	accurate	ADJ
ajst-30905	118	16	predictions	prediction	NOUN
ajst-30905	118	17	by	by	ADP
ajst-30905	118	18	the	the	DET
ajst-30905	118	19	model	model	NOUN
ajst-30905	118	20	.	.	PUNCT
ajst-30905	119	1	3	3	X
ajst-30905	119	2	.	.	NOUN
ajst-30905	119	3	results	result	NOUN
ajst-30905	119	4	and	and	CCONJ
ajst-30905	119	5	discussion	discussion	NOUN
ajst-30905	119	6	the	the	PRON
ajst-30905	119	7	before	before	ADP
ajst-30905	119	8	starting	start	VERB
ajst-30905	119	9	the	the	DET
ajst-30905	119	10	experiments	experiment	NOUN
ajst-30905	119	11	,	,	PUNCT
ajst-30905	119	12	we	we	PRON
ajst-30905	119	13	conducted	conduct	VERB
ajst-30905	119	14	a	a	DET
ajst-30905	119	15	pearson	pearson	NOUN
ajst-30905	119	16	correlation	correlation	NOUN
ajst-30905	119	17	analysis	analysis	NOUN
ajst-30905	119	18	between	between	ADP
ajst-30905	119	19	the	the	DET
ajst-30905	119	20	features	feature	NOUN
ajst-30905	119	21	and	and	CCONJ
ajst-30905	119	22	the	the	DET
ajst-30905	119	23	target	target	NOUN
ajst-30905	119	24	variable	variable	NOUN
ajst-30905	119	25	across	across	ADP
ajst-30905	119	26	the	the	DET
ajst-30905	119	27	three	three	NUM
ajst-30905	119	28	datasets	dataset	NOUN
ajst-30905	119	29	.	.	PUNCT
ajst-30905	120	1	as	as	SCONJ
ajst-30905	120	2	shown	show	VERB
ajst-30905	120	3	in	in	ADP
ajst-30905	120	4	table	table	NOUN
ajst-30905	120	5	2	2	NUM
ajst-30905	120	6	,	,	PUNCT
ajst-30905	120	7	the	the	DET
ajst-30905	120	8	coal	coal	NOUN
ajst-30905	120	9	consumption	consumption	NOUN
ajst-30905	120	10	level	level	NOUN
ajst-30905	120	11	,	,	PUNCT
ajst-30905	120	12	ch4	ch4	PROPN
ajst-30905	120	13	content	content	NOUN
ajst-30905	120	14	,	,	PUNCT
ajst-30905	120	15	co	co	NOUN
ajst-30905	120	16	content	content	NOUN
ajst-30905	120	17	,	,	PUNCT
ajst-30905	120	18	and	and	CCONJ
ajst-30905	120	19	co2	co2	NOUN
ajst-30905	120	20	content	content	NOUN
ajst-30905	120	21	strongly	strongly	ADV
ajst-30905	120	22	correlated	correlate	VERB
ajst-30905	120	23	with	with	ADP
ajst-30905	120	24	the	the	DET
ajst-30905	120	25	syngas	syngas	NOUN
ajst-30905	120	26	calorific	calorific	NOUN
ajst-30905	120	27	value	value	NOUN
ajst-30905	120	28	across	across	ADP
ajst-30905	120	29	all	all	DET
ajst-30905	120	30	three	three	NUM
ajst-30905	120	31	datasets	dataset	NOUN
ajst-30905	120	32	.	.	PUNCT
ajst-30905	121	1	specifically	specifically	ADV
ajst-30905	121	2	,	,	PUNCT
ajst-30905	121	3	the	the	DET
ajst-30905	121	4	p	p	NOUN
ajst-30905	121	5	-	-	PUNCT
ajst-30905	121	6	value	value	NOUN
ajst-30905	121	7	of	of	ADP
ajst-30905	121	8	the	the	DET
ajst-30905	121	9	co2	co2	NOUN
ajst-30905	121	10	content	content	NOUN
ajst-30905	121	11	feature	feature	NOUN
ajst-30905	121	12	was	be	AUX
ajst-30905	121	13	highest	high	ADJ
ajst-30905	121	14	in	in	ADP
ajst-30905	121	15	test	test	NOUN
ajst-30905	121	16	1	1	NUM
ajst-30905	121	17	,	,	PUNCT
ajst-30905	121	18	while	while	SCONJ
ajst-30905	121	19	the	the	DET
ajst-30905	121	20	ch4	ch4	PROPN
ajst-30905	121	21	content	content	PROPN
ajst-30905	121	22	feature	feature	NOUN
ajst-30905	121	23	yielded	yield	VERB
ajst-30905	121	24	the	the	DET
ajst-30905	121	25	highest	high	ADJ
ajst-30905	121	26	p	p	NOUN
ajst-30905	121	27	-	-	PUNCT
ajst-30905	121	28	values	value	NOUN
ajst-30905	121	29	in	in	ADP
ajst-30905	121	30	test	test	NOUN
ajst-30905	121	31	2	2	NUM
ajst-30905	121	32	and	and	CCONJ
ajst-30905	121	33	test	test	NOUN
ajst-30905	121	34	3	3	NUM
ajst-30905	121	35	,	,	PUNCT
ajst-30905	121	36	t	t	NOUN
ajst-30905	121	37	with	with	ADP
ajst-30905	121	38	values	value	NOUN
ajst-30905	121	39	of	of	ADP
ajst-30905	121	40	-0.969	-0.969	PROPN
ajst-30905	121	41	,	,	PUNCT
ajst-30905	121	42	0.901	0.901	NUM
ajst-30905	121	43	,	,	PUNCT
ajst-30905	121	44	and	and	CCONJ
ajst-30905	121	45	0.940	0.940	NUM
ajst-30905	121	46	,	,	PUNCT
ajst-30905	121	47	respectively	respectively	ADV
ajst-30905	121	48	.	.	PUNCT
ajst-30905	122	1	the	the	DET
ajst-30905	122	2	oxygen	oxygen	NOUN
ajst-30905	122	3	injection	injection	NOUN
ajst-30905	122	4	volume	volume	NOUN
ajst-30905	122	5	,	,	PUNCT
ajst-30905	122	6	synthetic	synthetic	ADJ
ajst-30905	122	7	gas	gas	NOUN
ajst-30905	122	8	volume	volume	NOUN
ajst-30905	122	9	,	,	PUNCT
ajst-30905	122	10	and	and	CCONJ
ajst-30905	122	11	oxygen	oxygen	NOUN
ajst-30905	122	12	consumption	consumption	NOUN
ajst-30905	122	13	level	level	NOUN
ajst-30905	122	14	also	also	ADV
ajst-30905	122	15	exhibited	exhibit	VERB
ajst-30905	122	16	some	some	DET
ajst-30905	122	17	degrees	degree	NOUN
ajst-30905	122	18	of	of	ADP
ajst-30905	122	19	correlation	correlation	NOUN
ajst-30905	122	20	,	,	PUNCT
ajst-30905	122	21	with	with	ADP
ajst-30905	122	22	the	the	DET
ajst-30905	122	23	oxygen	oxygen	NOUN
ajst-30905	122	24	injection	injection	NOUN
ajst-30905	122	25	volume	volume	NOUN
ajst-30905	122	26	and	and	CCONJ
ajst-30905	122	27	oxygen	oxygen	NOUN
ajst-30905	122	28	consumption	consumption	NOUN
ajst-30905	122	29	level	level	NOUN
ajst-30905	122	30	having	have	VERB
ajst-30905	122	31	similar	similar	ADJ
ajst-30905	122	32	impacts	impact	NOUN
ajst-30905	122	33	on	on	ADP
ajst-30905	122	34	the	the	DET
ajst-30905	122	35	target	target	NOUN
ajst-30905	122	36	.	.	PUNCT
ajst-30905	123	1	in	in	ADP
ajst-30905	123	2	test	test	NOUN
ajst-30905	123	3	3	3	NUM
ajst-30905	123	4	dataset	dataset	NOUN
ajst-30905	123	5	,	,	PUNCT
ajst-30905	123	6	the	the	DET
ajst-30905	123	7	oxygen	oxygen	NOUN
ajst-30905	123	8	injection	injection	NOUN
ajst-30905	123	9	volume	volume	NOUN
ajst-30905	123	10	and	and	CCONJ
ajst-30905	123	11	consumption	consumption	NOUN
ajst-30905	123	12	level	level	NOUN
ajst-30905	123	13	were	be	AUX
ajst-30905	123	14	negatively	negatively	ADV
ajst-30905	123	15	correlated	correlate	VERB
ajst-30905	123	16	with	with	ADP
ajst-30905	123	17	the	the	DET
ajst-30905	123	18	target	target	NOUN
ajst-30905	123	19	.	.	PUNCT
ajst-30905	124	1	however	however	ADV
ajst-30905	124	2	,	,	PUNCT
ajst-30905	124	3	the	the	DET
ajst-30905	124	4	h2	h2	NOUN
ajst-30905	124	5	content	content	NOUN
ajst-30905	124	6	showed	show	VERB
ajst-30905	124	7	very	very	ADV
ajst-30905	124	8	low	low	ADJ
ajst-30905	124	9	correlations	correlation	NOUN
ajst-30905	124	10	in	in	ADP
ajst-30905	124	11	all	all	DET
ajst-30905	124	12	three	three	NUM
ajst-30905	124	13	datasets	dataset	NOUN
ajst-30905	124	14	,	,	PUNCT
ajst-30905	124	15	with	with	ADP
ajst-30905	124	16	pvalues	pvalue	NOUN
ajst-30905	124	17	close	close	ADJ
ajst-30905	124	18	to	to	ADP
ajst-30905	124	19	0	0	NUM
ajst-30905	124	20	table	table	NOUN
ajst-30905	124	21	2	2	NUM
ajst-30905	124	22	.	.	PUNCT
ajst-30905	124	23	pearson	pearson	PROPN
ajst-30905	124	24	correlation	correlation	NOUN
ajst-30905	124	25	coefficient	coefficient	NOUN
ajst-30905	124	26	between	between	ADP
ajst-30905	124	27	features	feature	NOUN
ajst-30905	124	28	and	and	CCONJ
ajst-30905	124	29	target	target	VERB
ajst-30905	124	30	values	value	NOUN
ajst-30905	124	31	.	.	PUNCT
ajst-30905	125	1	feature	feature	NOUN
ajst-30905	125	2	test	test	NOUN
ajst-30905	125	3	1	1	NUM
ajst-30905	125	4	test	test	NOUN
ajst-30905	125	5	2	2	NUM
ajst-30905	125	6	test	test	NOUN
ajst-30905	125	7	3	3	NUM
ajst-30905	125	8	oxygen	oxygen	NOUN
ajst-30905	125	9	injection	injection	NOUN
ajst-30905	125	10	volume	volume	NOUN
ajst-30905	125	11	0.471	0.471	NUM
ajst-30905	125	12	0.481	0.481	NUM
ajst-30905	125	13	-0.791	-0.791	PUNCT
ajst-30905	125	14	synthetic	synthetic	ADJ
ajst-30905	125	15	gas	gas	NOUN
ajst-30905	125	16	volume	volume	NOUN
ajst-30905	125	17	0.628	0.628	NUM
ajst-30905	125	18	0.507	0.507	NUM
ajst-30905	125	19	0.565	0.565	NUM
ajst-30905	125	20	oxygen	oxygen	NOUN
ajst-30905	125	21	consumption	consumption	NOUN
ajst-30905	125	22	0.485	0.485	NUM
ajst-30905	125	23	0.426	0.426	NUM
ajst-30905	125	24	-0.801	-0.801	X
ajst-30905	125	25	coal	coal	NOUN
ajst-30905	125	26	consumption	consumption	NOUN
ajst-30905	125	27	0.767	0.767	NUM
ajst-30905	125	28	0.521	0.521	NUM
ajst-30905	125	29	0.719	0.719	NUM
ajst-30905	125	30	h2	h2	NOUN
ajst-30905	125	31	content	content	NOUN
ajst-30905	125	32	0.283	0.283	NUM
ajst-30905	125	33	0.216	0.216	NUM
ajst-30905	125	34	0.284	0.284	NUM
ajst-30905	125	35	ch4	ch4	NOUN
ajst-30905	125	36	content	content	NOUN
ajst-30905	125	37	0.903	0.903	NUM
ajst-30905	125	38	0.901	0.901	NUM
ajst-30905	125	39	0.940	0.940	NUM
ajst-30905	125	40	co	co	NOUN
ajst-30905	125	41	content	content	NOUN
ajst-30905	125	42	0.961	0.961	NUM
ajst-30905	125	43	0.897	0.897	NUM
ajst-30905	125	44	0.833	0.833	NUM
ajst-30905	125	45	co2	co2	NOUN
ajst-30905	125	46	content	content	NOUN
ajst-30905	125	47	-0.969	-0.969	PUNCT
ajst-30905	125	48	-0.792	-0.792	PUNCT
ajst-30905	125	49	-0.720	-0.720	NOUN
ajst-30905	125	50	185	185	NUM
ajst-30905	125	51	in	in	ADP
ajst-30905	125	52	this	this	DET
ajst-30905	125	53	study	study	NOUN
ajst-30905	125	54	,	,	PUNCT
ajst-30905	125	55	we	we	PRON
ajst-30905	125	56	used	use	VERB
ajst-30905	125	57	multiple	multiple	ADJ
ajst-30905	125	58	datasets	dataset	NOUN
ajst-30905	125	59	to	to	PART
ajst-30905	125	60	explore	explore	VERB
ajst-30905	125	61	the	the	DET
ajst-30905	125	62	impacts	impact	NOUN
ajst-30905	125	63	of	of	ADP
ajst-30905	125	64	different	different	ADJ
ajst-30905	125	65	numbers	number	NOUN
ajst-30905	125	66	of	of	ADP
ajst-30905	125	67	features	feature	NOUN
ajst-30905	125	68	on	on	ADP
ajst-30905	125	69	the	the	DET
ajst-30905	125	70	prediction	prediction	NOUN
ajst-30905	125	71	performance	performance	NOUN
ajst-30905	125	72	of	of	ADP
ajst-30905	125	73	the	the	DET
ajst-30905	125	74	informer	informer	ADJ
ajst-30905	125	75	model	model	NOUN
ajst-30905	125	76	.	.	PUNCT
ajst-30905	126	1	the	the	DET
ajst-30905	126	2	features	feature	NOUN
ajst-30905	126	3	were	be	AUX
ajst-30905	126	4	selected	select	VERB
ajst-30905	126	5	based	base	VERB
ajst-30905	126	6	on	on	ADP
ajst-30905	126	7	their	their	PRON
ajst-30905	126	8	pearson	pearson	NOUN
ajst-30905	126	9	correlation	correlation	NOUN
ajst-30905	126	10	p	p	NOUN
ajst-30905	126	11	-	-	PUNCT
ajst-30905	126	12	values	value	NOUN
ajst-30905	126	13	,	,	PUNCT
ajst-30905	126	14	and	and	CCONJ
ajst-30905	126	15	the	the	DET
ajst-30905	126	16	experimental	experimental	ADJ
ajst-30905	126	17	results	result	NOUN
ajst-30905	126	18	are	be	AUX
ajst-30905	126	19	shown	show	VERB
ajst-30905	126	20	in	in	ADP
ajst-30905	126	21	table	table	NOUN
ajst-30905	126	22	4	4	NUM
ajst-30905	126	23	.	.	PUNCT
ajst-30905	127	1	additionally	additionally	ADV
ajst-30905	127	2	,	,	PUNCT
ajst-30905	127	3	figure	figure	VERB
ajst-30905	127	4	5	5	NUM
ajst-30905	127	5	depicts	depict	VERB
ajst-30905	127	6	the	the	DET
ajst-30905	127	7	rmse	rmse	NOUN
ajst-30905	127	8	and	and	CCONJ
ajst-30905	127	9	mae	mae	PROPN
ajst-30905	127	10	metrics	metric	NOUN
ajst-30905	127	11	obtained	obtain	VERB
ajst-30905	127	12	for	for	ADP
ajst-30905	127	13	the	the	DET
ajst-30905	127	14	model	model	NOUN
ajst-30905	127	15	predictions	prediction	NOUN
ajst-30905	127	16	.	.	PUNCT
ajst-30905	128	1	according	accord	VERB
ajst-30905	128	2	to	to	ADP
ajst-30905	128	3	table	table	NOUN
ajst-30905	128	4	3	3	NUM
ajst-30905	128	5	and	and	CCONJ
ajst-30905	128	6	figure	figure	NOUN
ajst-30905	128	7	1	1	NUM
ajst-30905	128	8	,	,	PUNCT
ajst-30905	128	9	as	as	SCONJ
ajst-30905	128	10	the	the	DET
ajst-30905	128	11	number	number	NOUN
ajst-30905	128	12	of	of	ADP
ajst-30905	128	13	features	feature	NOUN
ajst-30905	128	14	increased	increase	VERB
ajst-30905	128	15	,	,	PUNCT
ajst-30905	128	16	the	the	DET
ajst-30905	128	17	prediction	prediction	NOUN
ajst-30905	128	18	accuracy	accuracy	NOUN
ajst-30905	128	19	of	of	ADP
ajst-30905	128	20	the	the	DET
ajst-30905	128	21	informer	informer	ADJ
ajst-30905	128	22	model	model	NOUN
ajst-30905	128	23	also	also	ADV
ajst-30905	128	24	improved	improve	VERB
ajst-30905	128	25	.	.	PUNCT
ajst-30905	129	1	when	when	SCONJ
ajst-30905	129	2	the	the	DET
ajst-30905	129	3	top	top	ADJ
ajst-30905	129	4	5	5	NUM
ajst-30905	129	5	features	feature	NOUN
ajst-30905	129	6	were	be	AUX
ajst-30905	129	7	selected	select	VERB
ajst-30905	129	8	as	as	ADP
ajst-30905	129	9	model	model	NOUN
ajst-30905	129	10	inputs	input	NOUN
ajst-30905	129	11	,	,	PUNCT
ajst-30905	129	12	the	the	DET
ajst-30905	129	13	rmse	rmse	NOUN
ajst-30905	129	14	and	and	CCONJ
ajst-30905	129	15	mae	mae	PROPN
ajst-30905	129	16	values	value	NOUN
ajst-30905	129	17	produced	produce	VERB
ajst-30905	129	18	for	for	ADP
ajst-30905	129	19	the	the	DET
ajst-30905	129	20	three	three	NUM
ajst-30905	129	21	datasets	dataset	NOUN
ajst-30905	129	22	were	be	AUX
ajst-30905	129	23	optimal	optimal	ADJ
ajst-30905	129	24	,	,	PUNCT
ajst-30905	129	25	indicating	indicate	VERB
ajst-30905	129	26	that	that	SCONJ
ajst-30905	129	27	the	the	DET
ajst-30905	129	28	chosen	choose	VERB
ajst-30905	129	29	feature	feature	NOUN
ajst-30905	129	30	combination	combination	NOUN
ajst-30905	129	31	was	be	AUX
ajst-30905	129	32	beneficial	beneficial	ADJ
ajst-30905	129	33	for	for	ADP
ajst-30905	129	34	model	model	NOUN
ajst-30905	129	35	training	training	NOUN
ajst-30905	129	36	.	.	PUNCT
ajst-30905	130	1	however	however	ADV
ajst-30905	130	2	,	,	PUNCT
ajst-30905	130	3	as	as	SCONJ
ajst-30905	130	4	the	the	DET
ajst-30905	130	5	number	number	NOUN
ajst-30905	130	6	of	of	ADP
ajst-30905	130	7	features	feature	NOUN
ajst-30905	130	8	continued	continue	VERB
ajst-30905	130	9	to	to	PART
ajst-30905	130	10	increase	increase	VERB
ajst-30905	130	11	,	,	PUNCT
ajst-30905	130	12	the	the	DET
ajst-30905	130	13	prediction	prediction	NOUN
ajst-30905	130	14	accuracies	accuracy	NOUN
ajst-30905	130	15	achieved	achieve	VERB
ajst-30905	130	16	on	on	ADP
ajst-30905	130	17	all	all	DET
ajst-30905	130	18	three	three	NUM
ajst-30905	130	19	datasets	dataset	NOUN
ajst-30905	130	20	decreased	decrease	VERB
ajst-30905	130	21	.	.	PUNCT
ajst-30905	131	1	these	these	DET
ajst-30905	131	2	declines	decline	NOUN
ajst-30905	131	3	occurred	occur	VERB
ajst-30905	131	4	because	because	SCONJ
ajst-30905	131	5	the	the	DET
ajst-30905	131	6	inclusion	inclusion	NOUN
ajst-30905	131	7	of	of	ADP
ajst-30905	131	8	low	low	ADJ
ajst-30905	131	9	-	-	PUNCT
ajst-30905	131	10	correlation	correlation	NOUN
ajst-30905	131	11	features	feature	NOUN
ajst-30905	131	12	interfered	interfere	VERB
ajst-30905	131	13	with	with	ADP
ajst-30905	131	14	the	the	DET
ajst-30905	131	15	ability	ability	NOUN
ajst-30905	131	16	of	of	ADP
ajst-30905	131	17	the	the	DET
ajst-30905	131	18	model	model	NOUN
ajst-30905	131	19	to	to	PART
ajst-30905	131	20	capture	capture	VERB
ajst-30905	131	21	the	the	DET
ajst-30905	131	22	dependency	dependency	NOUN
ajst-30905	131	23	information	information	NOUN
ajst-30905	131	24	between	between	ADP
ajst-30905	131	25	the	the	DET
ajst-30905	131	26	feature	feature	NOUN
ajst-30905	131	27	variables	variable	NOUN
ajst-30905	131	28	and	and	CCONJ
ajst-30905	131	29	the	the	DET
ajst-30905	131	30	target	target	NOUN
ajst-30905	131	31	value	value	NOUN
ajst-30905	131	32	.	.	PUNCT
ajst-30905	132	1	based	base	VERB
ajst-30905	132	2	on	on	ADP
ajst-30905	132	3	the	the	DET
ajst-30905	132	4	above	above	ADJ
ajst-30905	132	5	analysis	analysis	NOUN
ajst-30905	132	6	,	,	PUNCT
ajst-30905	132	7	this	this	DET
ajst-30905	132	8	study	study	NOUN
ajst-30905	132	9	selected	select	VERB
ajst-30905	132	10	five	five	NUM
ajst-30905	132	11	features	feature	NOUN
ajst-30905	132	12	that	that	PRON
ajst-30905	132	13	were	be	AUX
ajst-30905	132	14	highly	highly	ADV
ajst-30905	132	15	correlated	correlate	VERB
ajst-30905	132	16	with	with	ADP
ajst-30905	132	17	the	the	DET
ajst-30905	132	18	syngas	syngas	NOUN
ajst-30905	132	19	calorific	calorific	NOUN
ajst-30905	132	20	value	value	NOUN
ajst-30905	132	21	(	(	PUNCT
ajst-30905	132	22	ch4	ch4	NOUN
ajst-30905	132	23	content	content	NOUN
ajst-30905	132	24	,	,	PUNCT
ajst-30905	132	25	co	co	NOUN
ajst-30905	132	26	content	content	NOUN
ajst-30905	132	27	,	,	PUNCT
ajst-30905	132	28	co2	co2	NOUN
ajst-30905	132	29	content	content	NOUN
ajst-30905	132	30	,	,	PUNCT
ajst-30905	132	31	coal	coal	NOUN
ajst-30905	132	32	consumption	consumption	NOUN
ajst-30905	132	33	level	level	NOUN
ajst-30905	132	34	,	,	PUNCT
ajst-30905	132	35	and	and	CCONJ
ajst-30905	132	36	synthetic	synthetic	ADJ
ajst-30905	132	37	gas	gas	NOUN
ajst-30905	132	38	volume	volume	NOUN
ajst-30905	132	39	)	)	PUNCT
ajst-30905	132	40	for	for	ADP
ajst-30905	132	41	further	further	ADJ
ajst-30905	132	42	experiments	experiment	NOUN
ajst-30905	132	43	.	.	PUNCT
ajst-30905	133	1	table	table	NOUN
ajst-30905	133	2	3	3	NUM
ajst-30905	133	3	.	.	PUNCT
ajst-30905	134	1	metrics	metric	NOUN
ajst-30905	134	2	of	of	ADP
ajst-30905	134	3	rmse	rmse	NOUN
ajst-30905	134	4	and	and	CCONJ
ajst-30905	134	5	mae	mae	PROPN
ajst-30905	134	6	with	with	ADP
ajst-30905	134	7	different	different	ADJ
ajst-30905	134	8	combinations	combination	NOUN
ajst-30905	134	9	of	of	ADP
ajst-30905	134	10	features	feature	NOUN
ajst-30905	134	11	feature	feature	NOUN
ajst-30905	134	12	number	number	NOUN
ajst-30905	134	13	test	test	NOUN
ajst-30905	134	14	1	1	NUM
ajst-30905	134	15	test	test	NOUN
ajst-30905	134	16	2	2	NUM
ajst-30905	134	17	test	test	NOUN
ajst-30905	134	18	3	3	NUM
ajst-30905	134	19	rmse	rmse	NOUN
ajst-30905	134	20	mae	mae	PROPN
ajst-30905	134	21	rmse	rmse	PROPN
ajst-30905	134	22	mae	mae	PROPN
ajst-30905	134	23	rmse	rmse	PROPN
ajst-30905	134	24	mae	mae	PROPN
ajst-30905	134	25	1	1	NUM
ajst-30905	134	26	0.645	0.645	NUM
ajst-30905	134	27	0.536	0.536	NUM
ajst-30905	134	28	0.334	0.334	NUM
ajst-30905	134	29	0.251	0.251	NUM
ajst-30905	134	30	0.446	0.446	NUM
ajst-30905	134	31	0.336	0.336	NUM
ajst-30905	134	32	2	2	NUM
ajst-30905	134	33	0.716	0.716	NUM
ajst-30905	134	34	0.593	0.593	NUM
ajst-30905	134	35	0.347	0.347	NUM
ajst-30905	134	36	0.272	0.272	NUM
ajst-30905	134	37	0.450	0.450	NUM
ajst-30905	134	38	0.356	0.356	NUM
ajst-30905	134	39	3	3	NUM
ajst-30905	134	40	0.710	0.710	NUM
ajst-30905	134	41	0.593	0.593	NUM
ajst-30905	134	42	0.387	0.387	NUM
ajst-30905	134	43	0.301	0.301	NUM
ajst-30905	134	44	0.468	0.468	NUM
ajst-30905	134	45	0.367	0.367	NUM
ajst-30905	134	46	4	4	NUM
ajst-30905	134	47	0.657	0.657	NUM
ajst-30905	134	48	0.547	0.547	NUM
ajst-30905	134	49	0.383	0.383	NUM
ajst-30905	134	50	0.160	0.160	NUM
ajst-30905	134	51	0.409	0.409	NUM
ajst-30905	134	52	0.317	0.317	NUM
ajst-30905	134	53	5	5	NUM
ajst-30905	134	54	0.628	0.628	NUM
ajst-30905	134	55	0.516	0.516	NUM
ajst-30905	134	56	0.325	0.325	NUM
ajst-30905	134	57	0.243	0.243	NUM
ajst-30905	134	58	0.397	0.397	NUM
ajst-30905	134	59	0.376	0.376	NUM
ajst-30905	134	60	6	6	NUM
ajst-30905	134	61	0.639	0.639	NUM
ajst-30905	134	62	0.526	0.526	NUM
ajst-30905	134	63	0.339	0.339	NUM
ajst-30905	134	64	0.260	0.260	NUM
ajst-30905	134	65	0.403	0.403	NUM
ajst-30905	134	66	0.310	0.310	NUM
ajst-30905	134	67	7	7	NUM
ajst-30905	134	68	0.606	0.606	NUM
ajst-30905	134	69	0.502	0.502	NUM
ajst-30905	134	70	0.448	0.448	NUM
ajst-30905	134	71	0.350	0.350	NUM
ajst-30905	134	72	0.475	0.475	NUM
ajst-30905	134	73	0.389	0.389	NUM
ajst-30905	134	74	8	8	NUM
ajst-30905	134	75	0.611	0.611	NUM
ajst-30905	134	76	0.555	0.555	NUM
ajst-30905	134	77	0.408	0.408	NUM
ajst-30905	134	78	0.312	0.312	NUM
ajst-30905	134	79	0.479	0.479	NUM
ajst-30905	134	80	0.401	0.401	NUM
ajst-30905	134	81	figure	figure	NOUN
ajst-30905	134	82	1	1	NUM
ajst-30905	134	83	.	.	PUNCT
ajst-30905	134	84	line	line	NOUN
ajst-30905	134	85	plot	plot	NOUN
ajst-30905	134	86	for	for	ADP
ajst-30905	134	87	the	the	DET
ajst-30905	134	88	mae	mae	PROPN
ajst-30905	134	89	and	and	CCONJ
ajst-30905	134	90	rmse	rmse	ADJ
ajst-30905	134	91	metrics	metric	NOUN
ajst-30905	134	92	of	of	ADP
ajst-30905	134	93	the	the	DET
ajst-30905	134	94	prediction	prediction	NOUN
ajst-30905	134	95	results	result	VERB
ajst-30905	134	96	4	4	NUM
ajst-30905	134	97	.	.	PUNCT
ajst-30905	135	1	conclusions	conclusion	NOUN
ajst-30905	135	2	and	and	CCONJ
ajst-30905	135	3	perspectives	perspective	NOUN
ajst-30905	135	4	4.1	4.1	NUM
ajst-30905	135	5	.	.	PUNCT
ajst-30905	136	1	conclusions	conclusion	NOUN
ajst-30905	136	2	accurate	accurate	ADJ
ajst-30905	136	3	prediction	prediction	NOUN
ajst-30905	136	4	of	of	ADP
ajst-30905	136	5	syngas	syngas	NOUN
ajst-30905	136	6	calorific	calorific	NOUN
ajst-30905	136	7	value	value	NOUN
ajst-30905	136	8	is	be	AUX
ajst-30905	136	9	crucial	crucial	ADJ
ajst-30905	136	10	for	for	ADP
ajst-30905	136	11	improving	improve	VERB
ajst-30905	136	12	the	the	DET
ajst-30905	136	13	efficiency	efficiency	NOUN
ajst-30905	136	14	of	of	ADP
ajst-30905	136	15	underground	underground	ADJ
ajst-30905	136	16	coal	coal	NOUN
ajst-30905	136	17	gasification	gasification	NOUN
ajst-30905	136	18	(	(	PUNCT
ajst-30905	136	19	ucg	ucg	PROPN
ajst-30905	136	20	)	)	PUNCT
ajst-30905	136	21	.	.	PUNCT
ajst-30905	137	1	this	this	DET
ajst-30905	137	2	paper	paper	NOUN
ajst-30905	137	3	proposes	propose	VERB
ajst-30905	137	4	a	a	DET
ajst-30905	137	5	multi	multi	ADJ
ajst-30905	137	6	-	-	ADJ
ajst-30905	137	7	sequence	sequence	ADJ
ajst-30905	137	8	time	time	NOUN
ajst-30905	137	9	series	series	PROPN
ajst-30905	137	10	syngas	syngas	NOUN
ajst-30905	137	11	calorific	calorific	NOUN
ajst-30905	137	12	value	value	NOUN
ajst-30905	137	13	prediction	prediction	NOUN
ajst-30905	137	14	method	method	NOUN
ajst-30905	137	15	based	base	VERB
ajst-30905	137	16	on	on	ADP
ajst-30905	137	17	the	the	DET
ajst-30905	137	18	informer	informer	ADJ
ajst-30905	137	19	model	model	NOUN
ajst-30905	137	20	and	and	CCONJ
ajst-30905	137	21	comprehensively	comprehensively	ADV
ajst-30905	137	22	evaluates	evaluate	VERB
ajst-30905	137	23	this	this	DET
ajst-30905	137	24	model	model	NOUN
ajst-30905	137	25	using	use	VERB
ajst-30905	137	26	nine	nine	NUM
ajst-30905	137	27	datasets	dataset	NOUN
ajst-30905	137	28	.	.	PUNCT
ajst-30905	138	1	rmse	rmse	PROPN
ajst-30905	138	2	,	,	PUNCT
ajst-30905	138	3	mae	mae	PROPN
ajst-30905	138	4	,	,	PUNCT
ajst-30905	138	5	r²	r²	NOUN
ajst-30905	138	6	,	,	PUNCT
ajst-30905	138	7	and	and	CCONJ
ajst-30905	138	8	computation	computation	NOUN
ajst-30905	138	9	time	time	NOUN
ajst-30905	138	10	are	be	AUX
ajst-30905	138	11	chosen	choose	VERB
ajst-30905	138	12	as	as	ADP
ajst-30905	138	13	evaluation	evaluation	NOUN
ajst-30905	138	14	metrics	metric	NOUN
ajst-30905	138	15	.	.	PUNCT
ajst-30905	139	1	the	the	DET
ajst-30905	139	2	research	research	NOUN
ajst-30905	139	3	results	result	NOUN
ajst-30905	139	4	are	be	AUX
ajst-30905	139	5	explained	explain	VERB
ajst-30905	139	6	in	in	ADP
ajst-30905	139	7	detail	detail	NOUN
ajst-30905	139	8	as	as	SCONJ
ajst-30905	139	9	follows	follow	VERB
ajst-30905	139	10	:	:	PUNCT
ajst-30905	139	11	by	by	ADP
ajst-30905	139	12	performing	perform	VERB
ajst-30905	139	13	pearson	pearson	NOUN
ajst-30905	139	14	analysis	analysis	NOUN
ajst-30905	139	15	to	to	PART
ajst-30905	139	16	determine	determine	VERB
ajst-30905	139	17	the	the	DET
ajst-30905	139	18	correlation	correlation	NOUN
ajst-30905	139	19	between	between	ADP
ajst-30905	139	20	features	feature	NOUN
ajst-30905	139	21	and	and	CCONJ
ajst-30905	139	22	the	the	DET
ajst-30905	139	23	target	target	NOUN
ajst-30905	139	24	,	,	PUNCT
ajst-30905	139	25	features	feature	NOUN
ajst-30905	139	26	are	be	AUX
ajst-30905	139	27	combined	combine	VERB
ajst-30905	139	28	according	accord	VERB
ajst-30905	139	29	to	to	ADP
ajst-30905	139	30	the	the	DET
ajst-30905	139	31	p	p	NOUN
ajst-30905	139	32	-	-	PUNCT
ajst-30905	139	33	values	value	NOUN
ajst-30905	139	34	.	.	PUNCT
ajst-30905	140	1	when	when	SCONJ
ajst-30905	140	2	the	the	DET
ajst-30905	140	3	number	number	NOUN
ajst-30905	140	4	of	of	ADP
ajst-30905	140	5	feature	feature	NOUN
ajst-30905	140	6	inputs	input	NOUN
ajst-30905	140	7	increases	increase	NOUN
ajst-30905	140	8	to	to	ADP
ajst-30905	140	9	five	five	NUM
ajst-30905	140	10	,	,	PUNCT
ajst-30905	140	11	the	the	DET
ajst-30905	140	12	model	model	NOUN
ajst-30905	140	13	's	's	PART
ajst-30905	140	14	prediction	prediction	NOUN
ajst-30905	140	15	accuracy	accuracy	NOUN
ajst-30905	140	16	reaches	reach	VERB
ajst-30905	140	17	its	its	PRON
ajst-30905	140	18	optimum	optimum	NOUN
ajst-30905	140	19	.	.	PUNCT
ajst-30905	141	1	beyond	beyond	ADP
ajst-30905	141	2	this	this	DET
ajst-30905	141	3	point	point	NOUN
ajst-30905	141	4	,	,	PUNCT
ajst-30905	141	5	further	far	ADV
ajst-30905	141	6	increasing	increase	VERB
ajst-30905	141	7	the	the	DET
ajst-30905	141	8	number	number	NOUN
ajst-30905	141	9	of	of	ADP
ajst-30905	141	10	inputs	input	NOUN
ajst-30905	141	11	results	result	NOUN
ajst-30905	141	12	in	in	ADP
ajst-30905	141	13	a	a	DET
ajst-30905	141	14	decline	decline	NOUN
ajst-30905	141	15	in	in	ADP
ajst-30905	141	16	prediction	prediction	NOUN
ajst-30905	141	17	accuracy	accuracy	NOUN
ajst-30905	141	18	.	.	PUNCT
ajst-30905	142	1	therefore	therefore	ADV
ajst-30905	142	2	,	,	PUNCT
ajst-30905	142	3	identifying	identify	VERB
ajst-30905	142	4	effective	effective	ADJ
ajst-30905	142	5	input	input	NOUN
ajst-30905	142	6	features	feature	NOUN
ajst-30905	142	7	is	be	AUX
ajst-30905	142	8	crucial	crucial	ADJ
ajst-30905	142	9	,	,	PUNCT
ajst-30905	142	10	as	as	SCONJ
ajst-30905	142	11	low	low	ADJ
ajst-30905	142	12	-	-	PUNCT
ajst-30905	142	13	quality	quality	NOUN
ajst-30905	142	14	inputs	input	NOUN
ajst-30905	142	15	can	can	AUX
ajst-30905	142	16	compromise	compromise	VERB
ajst-30905	142	17	a	a	DET
ajst-30905	142	18	good	good	ADJ
ajst-30905	142	19	model	model	NOUN
ajst-30905	142	20	.	.	PUNCT
ajst-30905	143	1	4.2	4.2	NUM
ajst-30905	143	2	.	.	PUNCT
ajst-30905	143	3	perspectives	perspective	NOUN
ajst-30905	143	4	the	the	DET
ajst-30905	143	5	discussion	discussion	NOUN
ajst-30905	143	6	and	and	CCONJ
ajst-30905	143	7	results	result	NOUN
ajst-30905	143	8	of	of	ADP
ajst-30905	143	9	this	this	DET
ajst-30905	143	10	paper	paper	NOUN
ajst-30905	143	11	are	be	AUX
ajst-30905	143	12	of	of	ADP
ajst-30905	143	13	significant	significant	ADJ
ajst-30905	143	14	importance	importance	NOUN
ajst-30905	143	15	in	in	ADP
ajst-30905	143	16	selecting	select	VERB
ajst-30905	143	17	an	an	DET
ajst-30905	143	18	ideal	ideal	ADJ
ajst-30905	143	19	and	and	CCONJ
ajst-30905	143	20	reliable	reliable	ADJ
ajst-30905	143	21	model	model	NOUN
ajst-30905	143	22	for	for	ADP
ajst-30905	143	23	syngas	syngas	NOUN
ajst-30905	143	24	calorific	calorific	NOUN
ajst-30905	143	25	value	value	NOUN
ajst-30905	143	26	prediction	prediction	NOUN
ajst-30905	143	27	.	.	PUNCT
ajst-30905	144	1	given	give	VERB
ajst-30905	144	2	the	the	DET
ajst-30905	144	3	excellent	excellent	ADJ
ajst-30905	144	4	performance	performance	NOUN
ajst-30905	144	5	of	of	ADP
ajst-30905	144	6	the	the	DET
ajst-30905	144	7	informer	informer	ADJ
ajst-30905	144	8	model	model	NOUN
ajst-30905	144	9	in	in	ADP
ajst-30905	144	10	syngas	syngas	NOUN
ajst-30905	144	11	calorific	calorific	NOUN
ajst-30905	144	12	value	value	NOUN
ajst-30905	144	13	prediction	prediction	NOUN
ajst-30905	144	14	,	,	PUNCT
ajst-30905	144	15	our	our	PRON
ajst-30905	144	16	future	future	ADJ
ajst-30905	144	17	work	work	NOUN
ajst-30905	144	18	will	will	AUX
ajst-30905	144	19	focus	focus	VERB
ajst-30905	144	20	on	on	ADP
ajst-30905	144	21	the	the	DET
ajst-30905	144	22	following	following	ADJ
ajst-30905	144	23	directions	direction	NOUN
ajst-30905	144	24	:	:	PUNCT
ajst-30905	144	25	in	in	ADP
ajst-30905	144	26	syngas	syngas	NOUN
ajst-30905	144	27	calorific	calorific	NOUN
ajst-30905	144	28	value	value	NOUN
ajst-30905	144	29	prediction	prediction	NOUN
ajst-30905	144	30	,	,	PUNCT
ajst-30905	144	31	there	there	PRON
ajst-30905	144	32	are	be	VERB
ajst-30905	144	33	many	many	ADJ
ajst-30905	144	34	factors	factor	NOUN
ajst-30905	144	35	influencing	influence	VERB
ajst-30905	144	36	calorific	calorific	ADJ
ajst-30905	144	37	value	value	NOUN
ajst-30905	144	38	changes	change	NOUN
ajst-30905	144	39	.	.	PUNCT
ajst-30905	145	1	it	it	PRON
ajst-30905	145	2	is	be	AUX
ajst-30905	145	3	necessary	necessary	ADJ
ajst-30905	145	4	to	to	PART
ajst-30905	145	5	collect	collect	VERB
ajst-30905	145	6	more	more	ADJ
ajst-30905	145	7	data	datum	NOUN
ajst-30905	145	8	parameters	parameter	NOUN
ajst-30905	145	9	and	and	CCONJ
ajst-30905	145	10	expand	expand	VERB
ajst-30905	145	11	the	the	DET
ajst-30905	145	12	model	model	NOUN
ajst-30905	145	13	's	's	PART
ajst-30905	145	14	dataset	dataset	NOUN
ajst-30905	145	15	to	to	PART
ajst-30905	145	16	enable	enable	VERB
ajst-30905	145	17	the	the	DET
ajst-30905	145	18	informer	informer	NOUN
ajst-30905	145	19	to	to	PART
ajst-30905	145	20	analyze	analyze	VERB
ajst-30905	145	21	specific	specific	ADJ
ajst-30905	145	22	situations	situation	NOUN
ajst-30905	145	23	.	.	PUNCT
ajst-30905	146	1	the	the	DET
ajst-30905	146	2	ultimate	ultimate	ADJ
ajst-30905	146	3	goal	goal	NOUN
ajst-30905	146	4	of	of	ADP
ajst-30905	146	5	syngas	syngas	NOUN
ajst-30905	146	6	calorific	calorific	NOUN
ajst-30905	146	7	value	value	NOUN
ajst-30905	146	8	prediction	prediction	NOUN
ajst-30905	146	9	is	be	AUX
ajst-30905	146	10	to	to	PART
ajst-30905	146	11	improve	improve	VERB
ajst-30905	146	12	gasification	gasification	NOUN
ajst-30905	146	13	efficiency	efficiency	NOUN
ajst-30905	146	14	.	.	PUNCT
ajst-30905	147	1	we	we	PRON
ajst-30905	147	2	will	will	AUX
ajst-30905	147	3	conduct	conduct	VERB
ajst-30905	147	4	further	further	ADJ
ajst-30905	147	5	indepth	indepth	ADJ
ajst-30905	147	6	research	research	NOUN
ajst-30905	147	7	on	on	ADP
ajst-30905	147	8	this	this	DET
ajst-30905	147	9	model	model	NOUN
ajst-30905	147	10	to	to	PART
ajst-30905	147	11	study	study	VERB
ajst-30905	147	12	the	the	DET
ajst-30905	147	13	efficiency	efficiency	NOUN
ajst-30905	147	14	of	of	ADP
ajst-30905	147	15	underground	underground	ADJ
ajst-30905	147	16	coal	coal	NOUN
ajst-30905	147	17	gasification	gasification	NOUN
ajst-30905	147	18	.	.	PUNCT
ajst-30905	147	19	.	.	PUNCT
ajst-30905	148	1	references	reference	NOUN
ajst-30905	148	2	[	[	X
ajst-30905	148	3	1	1	NUM
ajst-30905	148	4	]	]	PUNCT
ajst-30905	148	5	thomas	thomas	PROPN
ajst-30905	148	6	dj	dj	PROPN
ajst-30905	148	7	.	.	PUNCT
ajst-30905	149	1	direct	direct	PROPN
ajst-30905	149	2	underground	underground	ADJ
ajst-30905	149	3	gasification	gasification	NOUN
ajst-30905	149	4	of	of	ADP
ajst-30905	149	5	north	north	PROPN
ajst-30905	149	6	sea	sea	PROPN
ajst-30905	149	7	coal	coal	NOUN
ajst-30905	149	8	for	for	ADP
ajst-30905	149	9	future	future	ADJ
ajst-30905	149	10	uk	uk	PROPN
ajst-30905	149	11	energy	energy	NOUN
ajst-30905	149	12	prosperity	prosperity	NOUN
ajst-30905	149	13	.	.	PUNCT
ajst-30905	150	1	fuel	fuel	NOUN
ajst-30905	150	2	(	(	PUNCT
ajst-30905	150	3	lond	lond	ADJ
ajst-30905	150	4	)	)	PUNCT
ajst-30905	150	5	2016	2016	NUM
ajst-30905	150	6	;	;	PUNCT
ajst-30905	150	7	185	185	NUM
ajst-30905	150	8	:	:	PUNCT
ajst-30905	150	9	941	941	NUM
ajst-30905	150	10	.	.	PUNCT
ajst-30905	151	1	[	[	X
ajst-30905	151	2	2	2	NUM
ajst-30905	151	3	]	]	PUNCT
ajst-30905	151	4	verma	verma	PROPN
ajst-30905	151	5	a	a	X
ajst-30905	151	6	,	,	PUNCT
ajst-30905	151	7	olateju	olateju	PROPN
ajst-30905	151	8	b	b	NOUN
ajst-30905	151	9	,	,	PUNCT
ajst-30905	151	10	kumar	kumar	PROPN
ajst-30905	151	11	a.	a.	NOUN
ajst-30905	151	12	greenhouse	greenhouse	NOUN
ajst-30905	151	13	gas	gas	NOUN
ajst-30905	151	14	abatement	abatement	NOUN
ajst-30905	151	15	costs	cost	NOUN
ajst-30905	151	16	of	of	ADP
ajst-30905	151	17	hydrogen	hydrogen	NOUN
ajst-30905	151	18	production	production	NOUN
ajst-30905	151	19	from	from	ADP
ajst-30905	151	20	underground	underground	ADJ
ajst-30905	151	21	coal	coal	NOUN
ajst-30905	151	22	gasification	gasification	NOUN
ajst-30905	151	23	.	.	PUNCT
ajst-30905	152	1	energy	energy	NOUN
ajst-30905	152	2	(	(	PUNCT
ajst-30905	152	3	oxford	oxford	PROPN
ajst-30905	152	4	)	)	PUNCT
ajst-30905	152	5	2015	2015	NUM
ajst-30905	152	6	;	;	PUNCT
ajst-30905	152	7	85(1	85(1	NUM
ajst-30905	152	8	):	):	PUNCT
ajst-30905	152	9	556	556	NUM
ajst-30905	152	10	-	-	SYM
ajst-30905	152	11	68	68	NUM
ajst-30905	152	12	.	.	PUNCT
ajst-30905	153	1	[	[	X
ajst-30905	153	2	3	3	NUM
ajst-30905	153	3	]	]	X
ajst-30905	153	4	xiao	xiao	PROPN
ajst-30905	153	5	y	y	PROPN
ajst-30905	153	6	,	,	PUNCT
ajst-30905	153	7	yin	yin	PROPN
ajst-30905	153	8	j	j	PROPN
ajst-30905	153	9	,	,	PUNCT
ajst-30905	153	10	hu	hu	PROPN
ajst-30905	153	11	y	y	PROPN
ajst-30905	153	12	,	,	PUNCT
ajst-30905	153	13	wang	wang	PROPN
ajst-30905	153	14	j	j	PROPN
ajst-30905	153	15	,	,	PUNCT
ajst-30905	153	16	yin	yin	PROPN
ajst-30905	153	17	h	h	PROPN
ajst-30905	153	18	,	,	PUNCT
ajst-30905	153	19	qi	qi	PROPN
ajst-30905	153	20	h.	h.	PROPN
ajst-30905	153	21	monitoring	monitoring	NOUN
ajst-30905	153	22	and	and	CCONJ
ajst-30905	153	23	control	control	NOUN
ajst-30905	153	24	in	in	ADP
ajst-30905	153	25	underground	underground	ADJ
ajst-30905	153	26	coal	coal	NOUN
ajst-30905	153	27	gasification	gasification	NOUN
ajst-30905	153	28	:	:	PUNCT
ajst-30905	153	29	current	current	ADJ
ajst-30905	153	30	research	research	NOUN
ajst-30905	153	31	status	status	NOUN
ajst-30905	153	32	and	and	CCONJ
ajst-30905	153	33	future	future	ADJ
ajst-30905	153	34	perspective	perspective	NOUN
ajst-30905	153	35	.	.	PUNCT
ajst-30905	154	1	sustainability	sustainability	NOUN
ajst-30905	154	2	(	(	PUNCT
ajst-30905	154	3	basel	basel	PROPN
ajst-30905	154	4	,	,	PUNCT
ajst-30905	154	5	switzerland	switzerland	PROPN
ajst-30905	154	6	)	)	PUNCT
ajst-30905	154	7	2019	2019	NUM
ajst-30905	154	8	;	;	PUNCT
ajst-30905	154	9	11(1	11(1	NUM
ajst-30905	154	10	):	):	PUNCT
ajst-30905	154	11	217	217	NUM
ajst-30905	154	12	.	.	PUNCT
ajst-30905	155	1	[	[	X
ajst-30905	155	2	4	4	NUM
ajst-30905	155	3	]	]	SYM
ajst-30905	155	4	hu	hu	PROPN
ajst-30905	156	1	z	z	PROPN
ajst-30905	156	2	,	,	PUNCT
ajst-30905	156	3	peng	peng	PROPN
ajst-30905	156	4	y	y	PROPN
ajst-30905	156	5	,	,	PUNCT
ajst-30905	156	6	sun	sun	PROPN
ajst-30905	156	7	f	f	PROPN
ajst-30905	156	8	,	,	PUNCT
ajst-30905	156	9	chen	chen	PROPN
ajst-30905	156	10	s	s	PROPN
ajst-30905	156	11	,	,	PUNCT
ajst-30905	156	12	zhou	zhou	PROPN
ajst-30905	156	13	y.	y.	PROPN
ajst-30905	156	14	thermodynamic	thermodynamic	PROPN
ajst-30905	156	15	equilibrium	equilibrium	PROPN
ajst-30905	156	16	simulation	simulation	NOUN
ajst-30905	156	17	on	on	ADP
ajst-30905	156	18	the	the	DET
ajst-30905	156	19	synthesis	synthesis	NOUN
ajst-30905	156	20	gas	gas	NOUN
ajst-30905	156	21	composition	composition	NOUN
ajst-30905	156	22	in	in	ADP
ajst-30905	156	23	the	the	DET
ajst-30905	156	24	context	context	NOUN
ajst-30905	156	25	of	of	ADP
ajst-30905	156	26	underground	underground	ADJ
ajst-30905	156	27	coal	coal	NOUN
ajst-30905	156	28	gasification	gasification	NOUN
ajst-30905	156	29	.	.	PUNCT
ajst-30905	157	1	fuel	fuel	NOUN
ajst-30905	157	2	(	(	PUNCT
ajst-30905	157	3	lond	lond	ADJ
ajst-30905	157	4	)	)	PUNCT
ajst-30905	157	5	2021	2021	NUM
ajst-30905	157	6	;	;	PUNCT
ajst-30905	157	7	293	293	NUM
ajst-30905	157	8	:	:	SYM
ajst-30905	157	9	120462	120462	NUM
ajst-30905	157	10	.	.	PUNCT
ajst-30905	158	1	[	[	X
ajst-30905	158	2	5	5	NUM
ajst-30905	158	3	]	]	PUNCT
ajst-30905	158	4	perkins	perkins	PROPN
ajst-30905	158	5	g.	g.	PROPN
ajst-30905	158	6	underground	underground	PROPN
ajst-30905	158	7	coal	coal	NOUN
ajst-30905	158	8	gasification	gasification	NOUN
ajst-30905	158	9	–	–	PUNCT
ajst-30905	158	10	part	part	NOUN
ajst-30905	158	11	ii	ii	PROPN
ajst-30905	158	12	:	:	PUNCT
ajst-30905	158	13	fundamental	fundamental	ADJ
ajst-30905	158	14	phenomena	phenomenon	NOUN
ajst-30905	158	15	and	and	CCONJ
ajst-30905	158	16	modeling	modeling	NOUN
ajst-30905	158	17	.	.	PUNCT
ajst-30905	159	1	prog	prog	PROPN
ajst-30905	159	2	energy	energy	NOUN
ajst-30905	159	3	combust	combust	NOUN
ajst-30905	159	4	sci	sci	PROPN
ajst-30905	159	5	2018	2018	NUM
ajst-30905	159	6	;	;	PUNCT
ajst-30905	159	7	67	67	NUM
ajst-30905	159	8	:	:	SYM
ajst-30905	159	9	234	234	NUM
ajst-30905	159	10	-	-	SYM
ajst-30905	159	11	74	74	NUM
ajst-30905	159	12	.	.	PUNCT
ajst-30905	160	1	[	[	X
ajst-30905	160	2	6	6	NUM
ajst-30905	160	3	]	]	PUNCT
ajst-30905	160	4	perkins	perkins	PROPN
ajst-30905	160	5	g.	g.	PROPN
ajst-30905	160	6	underground	underground	PROPN
ajst-30905	160	7	coal	coal	NOUN
ajst-30905	160	8	gasification	gasification	NOUN
ajst-30905	160	9	–	–	PUNCT
ajst-30905	160	10	part	part	NOUN
ajst-30905	161	1	i	i	NOUN
ajst-30905	161	2	:	:	PUNCT
ajst-30905	161	3	field	field	NOUN
ajst-30905	161	4	demonstrations	demonstration	NOUN
ajst-30905	161	5	and	and	CCONJ
ajst-30905	161	6	process	process	NOUN
ajst-30905	161	7	performance	performance	NOUN
ajst-30905	161	8	.	.	PUNCT
ajst-30905	162	1	prog	prog	NOUN
ajst-30905	162	2	energy	energy	NOUN
ajst-30905	162	3	combust	combust	NOUN
ajst-30905	162	4	sci	sci	PROPN
ajst-30905	162	5	2018	2018	NUM
ajst-30905	162	6	;	;	PUNCT
ajst-30905	162	7	67	67	NUM
ajst-30905	162	8	:	:	SYM
ajst-30905	162	9	158	158	NUM
ajst-30905	162	10	-	-	SYM
ajst-30905	162	11	87	87	NUM
ajst-30905	162	12	.	.	PUNCT
ajst-30905	163	1	[	[	X
ajst-30905	163	2	7	7	NUM
ajst-30905	163	3	]	]	SYM
ajst-30905	163	4	su	su	PROPN
ajst-30905	163	5	f	f	PROPN
ajst-30905	163	6	,	,	PUNCT
ajst-30905	163	7	itakura	itakura	PROPN
ajst-30905	163	8	k	k	NOUN
ajst-30905	163	9	,	,	PUNCT
ajst-30905	163	10	deguchi	deguchi	PROPN
ajst-30905	163	11	g	g	PROPN
ajst-30905	163	12	,	,	PUNCT
ajst-30905	163	13	ohga	ohga	PROPN
ajst-30905	163	14	k.	k.	PROPN
ajst-30905	164	1	monitoring	monitoring	NOUN
ajst-30905	164	2	of	of	ADP
ajst-30905	164	3	coal	coal	NOUN
ajst-30905	164	4	fracturing	fracturing	NOUN
ajst-30905	164	5	in	in	ADP
ajst-30905	164	6	underground	underground	ADJ
ajst-30905	164	7	coal	coal	NOUN
ajst-30905	164	8	gasification	gasification	NOUN
ajst-30905	164	9	by	by	ADP
ajst-30905	164	10	acoustic	acoustic	ADJ
ajst-30905	164	11	emission	emission	NOUN
ajst-30905	164	12	techniques	technique	NOUN
ajst-30905	164	13	.	.	PUNCT
ajst-30905	165	1	appl	appl	PROPN
ajst-30905	165	2	energy	energy	PROPN
ajst-30905	165	3	2017	2017	NUM
ajst-30905	165	4	;	;	PUNCT
ajst-30905	165	5	189	189	NUM
ajst-30905	165	6	:	:	SYM
ajst-30905	165	7	142	142	NUM
ajst-30905	165	8	-	-	SYM
ajst-30905	165	9	56	56	NUM
ajst-30905	165	10	.	.	PUNCT
ajst-30905	166	1	[	[	X
ajst-30905	166	2	8	8	NUM
ajst-30905	166	3	]	]	SYM
ajst-30905	166	4	su	su	PROPN
ajst-30905	166	5	f	f	PROPN
ajst-30905	166	6	,	,	PUNCT
ajst-30905	166	7	hamanaka	hamanaka	PROPN
ajst-30905	166	8	a	a	PRON
ajst-30905	166	9	,	,	PUNCT
ajst-30905	166	10	itakura	itakura	PROPN
ajst-30905	166	11	k	k	NOUN
ajst-30905	166	12	,	,	PUNCT
ajst-30905	166	13	zhang	zhang	PROPN
ajst-30905	166	14	w	w	PROPN
ajst-30905	166	15	,	,	PUNCT
ajst-30905	166	16	deguchi	deguchi	PROPN
ajst-30905	166	17	g	g	PROPN
ajst-30905	166	18	,	,	PUNCT
ajst-30905	166	19	sato	sato	PROPN
ajst-30905	166	20	k	k	PROPN
ajst-30905	166	21	,	,	PUNCT
ajst-30905	166	22	et	et	PROPN
ajst-30905	166	23	al	al	PROPN
ajst-30905	166	24	.	.	PUNCT
ajst-30905	167	1	monitoring	monitoring	NOUN
ajst-30905	167	2	and	and	CCONJ
ajst-30905	167	3	evaluation	evaluation	NOUN
ajst-30905	167	4	of	of	ADP
ajst-30905	167	5	simulated	simulate	VERB
ajst-30905	167	6	underground	underground	ADJ
ajst-30905	167	7	coal	coal	NOUN
ajst-30905	167	8	gasification	gasification	NOUN
ajst-30905	167	9	in	in	ADP
ajst-30905	167	10	an	an	DET
ajst-30905	167	11	ex	ex	ADJ
ajst-30905	167	12	-	-	ADJ
ajst-30905	167	13	situ	situ	ADJ
ajst-30905	167	14	experimental	experimental	ADJ
ajst-30905	167	15	artificial	artificial	ADJ
ajst-30905	167	16	coal	coal	NOUN
ajst-30905	167	17	seam	seam	NOUN
ajst-30905	167	18	system	system	NOUN
ajst-30905	167	19	.	.	PUNCT
ajst-30905	168	1	appl	appl	PROPN
ajst-30905	168	2	energy	energy	PROPN
ajst-30905	168	3	2018	2018	NUM
ajst-30905	168	4	;	;	PUNCT
ajst-30905	168	5	223	223	NUM
ajst-30905	168	6	:	:	PUNCT
ajst-30905	168	7	82	82	NUM
ajst-30905	168	8	-	-	SYM
ajst-30905	168	9	92	92	NUM
ajst-30905	168	10	.	.	PUNCT
ajst-30905	169	1	[	[	X
ajst-30905	169	2	9	9	NUM
ajst-30905	169	3	]	]	X
ajst-30905	169	4	khan	khan	PROPN
ajst-30905	169	5	m	m	PROPN
ajst-30905	169	6	,	,	PUNCT
ajst-30905	169	7	mmbaga	mmbaga	PROPN
ajst-30905	169	8	j	j	PROPN
ajst-30905	169	9	,	,	PUNCT
ajst-30905	169	10	shirazi	shirazi	PROPN
ajst-30905	169	11	a	a	PROPN
ajst-30905	169	12	,	,	PUNCT
ajst-30905	169	13	trivedi	trivedi	PROPN
ajst-30905	169	14	j	j	PROPN
ajst-30905	169	15	,	,	PUNCT
ajst-30905	169	16	liu	liu	PROPN
ajst-30905	169	17	q	q	PROPN
ajst-30905	169	18	,	,	PUNCT
ajst-30905	169	19	gupta	gupta	PROPN
ajst-30905	169	20	r.	r.	PROPN
ajst-30905	169	21	modelling	model	VERB
ajst-30905	169	22	underground	underground	ADJ
ajst-30905	169	23	coal	coal	NOUN
ajst-30905	169	24	gasification	gasification	NOUN
ajst-30905	169	25	—	—	PUNCT
ajst-30905	169	26	a	a	DET
ajst-30905	169	27	review	review	NOUN
ajst-30905	169	28	.	.	PUNCT
ajst-30905	170	1	energies	energy	NOUN
ajst-30905	170	2	(	(	PUNCT
ajst-30905	170	3	basel	basel	PROPN
ajst-30905	170	4	)	)	PUNCT
ajst-30905	170	5	2015	2015	NUM
ajst-30905	170	6	;	;	PUNCT
ajst-30905	170	7	8(11	8(11	NUM
ajst-30905	170	8	):	):	PUNCT
ajst-30905	170	9	12603	12603	NUM
ajst-30905	170	10	-	-	SYM
ajst-30905	170	11	68	68	NUM
ajst-30905	170	12	.	.	PUNCT
ajst-30905	171	1	[	[	X
ajst-30905	171	2	10	10	NUM
ajst-30905	171	3	]	]	X
ajst-30905	171	4	laciak	laciak	PROPN
ajst-30905	171	5	m	m	PROPN
ajst-30905	171	6	,	,	PUNCT
ajst-30905	171	7	kostúr	kostúr	PROPN
ajst-30905	171	8	k	k	NOUN
ajst-30905	171	9	,	,	PUNCT
ajst-30905	171	10	durdán	durdán	PROPN
ajst-30905	171	11	m	m	PROPN
ajst-30905	171	12	,	,	PUNCT
ajst-30905	171	13	kačur	kačur	PROPN
ajst-30905	171	14	j	j	PROPN
ajst-30905	171	15	,	,	PUNCT
ajst-30905	171	16	flegner	flegner	NOUN
ajst-30905	171	17	p.	p.	NOUN
ajst-30905	171	18	the	the	DET
ajst-30905	171	19	analysis	analysis	NOUN
ajst-30905	171	20	of	of	ADP
ajst-30905	171	21	the	the	DET
ajst-30905	171	22	underground	underground	ADJ
ajst-30905	171	23	coal	coal	NOUN
ajst-30905	171	24	gasification	gasification	NOUN
ajst-30905	171	25	in	in	ADP
ajst-30905	171	26	experimental	experimental	ADJ
ajst-30905	171	27	equipment	equipment	NOUN
ajst-30905	171	28	.	.	PUNCT
ajst-30905	172	1	energy	energy	NOUN
ajst-30905	172	2	(	(	PUNCT
ajst-30905	172	3	oxf	oxf	PROPN
ajst-30905	172	4	)	)	PUNCT
ajst-30905	172	5	2016	2016	NUM
ajst-30905	172	6	;	;	PUNCT
ajst-30905	172	7	114	114	NUM
ajst-30905	172	8	:	:	PUNCT
ajst-30905	172	9	332	332	NUM
ajst-30905	172	10	-	-	SYM
ajst-30905	172	11	43	43	NUM
ajst-30905	172	12	.	.	PUNCT
ajst-30905	173	1	[	[	X
ajst-30905	173	2	11	11	NUM
ajst-30905	173	3	]	]	X
ajst-30905	173	4	jowkar	jowkar	NOUN
ajst-30905	173	5	a	a	PROPN
ajst-30905	173	6	,	,	PUNCT
ajst-30905	173	7	sereshki	sereshki	PROPN
ajst-30905	173	8	f	f	AUX
ajst-30905	173	9	,	,	PUNCT
ajst-30905	173	10	najafi	najafi	AUX
ajst-30905	173	11	m.	m.	NOUN
ajst-30905	173	12	a	a	DET
ajst-30905	173	13	new	new	ADJ
ajst-30905	173	14	model	model	NOUN
ajst-30905	173	15	for	for	ADP
ajst-30905	173	16	evaluation	evaluation	NOUN
ajst-30905	173	17	of	of	ADP
ajst-30905	173	18	cavity	cavity	NOUN
ajst-30905	173	19	shape	shape	NOUN
ajst-30905	173	20	and	and	CCONJ
ajst-30905	173	21	volume	volume	NOUN
ajst-30905	173	22	during	during	ADP
ajst-30905	173	23	underground	underground	ADJ
ajst-30905	173	24	coal	coal	NOUN
ajst-30905	173	25	gasification	gasification	NOUN
ajst-30905	173	26	process	process	NOUN
ajst-30905	173	27	.	.	PUNCT
ajst-30905	174	1	energy	energy	NOUN
ajst-30905	174	2	(	(	PUNCT
ajst-30905	174	3	oxford	oxford	PROPN
ajst-30905	174	4	)	)	PUNCT
ajst-30905	174	5	2018	2018	NUM
ajst-30905	174	6	;	;	PUNCT
ajst-30905	174	7	148	148	NUM
ajst-30905	174	8	:	:	PUNCT
ajst-30905	174	9	756	756	NUM
ajst-30905	174	10	-	-	SYM
ajst-30905	174	11	65	65	NUM
ajst-30905	174	12	.	.	PUNCT
ajst-30905	174	13	186	186	NUM
ajst-30905	175	1	[	[	X
ajst-30905	175	2	12	12	NUM
ajst-30905	175	3	]	]	X
ajst-30905	175	4	otto	otto	PROPN
ajst-30905	175	5	c	c	AUX
ajst-30905	175	6	,	,	PUNCT
ajst-30905	175	7	kempka	kempka	NOUN
ajst-30905	175	8	t.	t.	NOUN
ajst-30905	175	9	synthesis	synthesis	NOUN
ajst-30905	175	10	gas	gas	NOUN
ajst-30905	175	11	composition	composition	NOUN
ajst-30905	175	12	prediction	prediction	NOUN
ajst-30905	175	13	for	for	ADP
ajst-30905	175	14	underground	underground	ADJ
ajst-30905	175	15	coal	coal	NOUN
ajst-30905	175	16	gasification	gasification	NOUN
ajst-30905	175	17	using	use	VERB
ajst-30905	175	18	a	a	DET
ajst-30905	175	19	thermochemical	thermochemical	ADJ
ajst-30905	175	20	equilibrium	equilibrium	NOUN
ajst-30905	175	21	modeling	modeling	NOUN
ajst-30905	175	22	approach	approach	NOUN
ajst-30905	175	23	.	.	PUNCT
ajst-30905	176	1	energies	energy	NOUN
ajst-30905	176	2	(	(	PUNCT
ajst-30905	176	3	basel	basel	PROPN
ajst-30905	176	4	)	)	PUNCT
ajst-30905	176	5	2020	2020	NUM
ajst-30905	176	6	;	;	PUNCT
ajst-30905	176	7	13(5	13(5	NUM
ajst-30905	176	8	):	):	PUNCT
ajst-30905	176	9	1171	1171	NUM
ajst-30905	176	10	.	.	PUNCT
ajst-30905	177	1	[	[	X
ajst-30905	177	2	13	13	NUM
ajst-30905	177	3	]	]	X
ajst-30905	177	4	dufaux	dufaux	NOUN
ajst-30905	177	5	a	a	PRON
ajst-30905	177	6	,	,	PUNCT
ajst-30905	177	7	gaveau	gaveau	NOUN
ajst-30905	177	8	b	b	NOUN
ajst-30905	177	9	,	,	PUNCT
ajst-30905	177	10	létolle	létolle	NOUN
ajst-30905	177	11	r	r	NOUN
ajst-30905	177	12	,	,	PUNCT
ajst-30905	177	13	mostade	mostade	NOUN
ajst-30905	177	14	m	m	PROPN
ajst-30905	177	15	,	,	PUNCT
ajst-30905	177	16	noël	noël	PROPN
ajst-30905	177	17	m	m	PROPN
ajst-30905	177	18	,	,	PUNCT
ajst-30905	177	19	pirard	pirard	ADJ
ajst-30905	177	20	j.	j.	PROPN
ajst-30905	177	21	modelling	modelling	NOUN
ajst-30905	177	22	of	of	ADP
ajst-30905	177	23	the	the	DET
ajst-30905	177	24	underground	underground	ADJ
ajst-30905	177	25	coal	coal	NOUN
ajst-30905	177	26	gasification	gasification	NOUN
ajst-30905	177	27	process	process	NOUN
ajst-30905	177	28	at	at	ADP
ajst-30905	177	29	thulin	thulin	NOUN
ajst-30905	177	30	on	on	ADP
ajst-30905	177	31	the	the	DET
ajst-30905	177	32	basis	basis	NOUN
ajst-30905	177	33	of	of	ADP
ajst-30905	177	34	thermodynamic	thermodynamic	ADJ
ajst-30905	177	35	equilibria	equilibrium	NOUN
ajst-30905	177	36	and	and	CCONJ
ajst-30905	177	37	isotopic	isotopic	ADJ
ajst-30905	177	38	measurements	measurement	NOUN
ajst-30905	177	39	.	.	PUNCT
ajst-30905	178	1	fuel	fuel	NOUN
ajst-30905	178	2	(	(	PUNCT
ajst-30905	178	3	lond	lond	ADJ
ajst-30905	178	4	)	)	PUNCT
ajst-30905	178	5	1990	1990	NUM
ajst-30905	178	6	;	;	PUNCT
ajst-30905	178	7	69(5	69(5	NUM
ajst-30905	178	8	):	):	PUNCT
ajst-30905	178	9	624	624	NUM
ajst-30905	178	10	-	-	SYM
ajst-30905	178	11	32	32	NUM
ajst-30905	178	12	.	.	PUNCT
ajst-30905	179	1	[	[	X
ajst-30905	179	2	14	14	NUM
ajst-30905	179	3	]	]	X
ajst-30905	179	4	laciak	laciak	PROPN
ajst-30905	179	5	m	m	PROPN
ajst-30905	179	6	,	,	PUNCT
ajst-30905	179	7	kacur	kacur	PROPN
ajst-30905	179	8	j	j	PROPN
ajst-30905	179	9	,	,	PUNCT
ajst-30905	179	10	kostur	kostur	PROPN
ajst-30905	179	11	k.	k.	PROPN
ajst-30905	180	1	the	the	DET
ajst-30905	180	2	verification	verification	NOUN
ajst-30905	180	3	of	of	ADP
ajst-30905	180	4	thermodynamic	thermodynamic	ADJ
ajst-30905	180	5	model	model	NOUN
ajst-30905	180	6	for	for	ADP
ajst-30905	180	7	ucg	ucg	PROPN
ajst-30905	180	8	process	process	NOUN
ajst-30905	180	9	.	.	PUNCT
ajst-30905	181	1	ieee	ieee	PROPN
ajst-30905	181	2	.	.	PUNCT
ajst-30905	182	1	2016	2016	NUM
ajst-30905	182	2	.	.	PUNCT
ajst-30905	183	1	pp	pp	ADV
ajst-30905	183	2	.	.	PUNCT
ajst-30905	184	1	424	424	NUM
ajst-30905	184	2	-	-	SYM
ajst-30905	184	3	8	8	NUM
ajst-30905	184	4	.	.	PUNCT
ajst-30905	185	1	[	[	X
ajst-30905	185	2	15	15	NUM
ajst-30905	185	3	]	]	X
ajst-30905	185	4	eftekhari	eftekhari	ADJ
ajst-30905	185	5	aa	aa	NOUN
ajst-30905	185	6	,	,	PUNCT
ajst-30905	185	7	wolf	wolf	PROPN
ajst-30905	185	8	kh	kh	PROPN
ajst-30905	185	9	,	,	PUNCT
ajst-30905	185	10	rogut	rogut	PROPN
ajst-30905	185	11	j	j	PROPN
ajst-30905	185	12	,	,	PUNCT
ajst-30905	185	13	bruining	bruine	VERB
ajst-30905	185	14	h.	h.	PROPN
ajst-30905	185	15	energy	energy	PROPN
ajst-30905	185	16	and	and	CCONJ
ajst-30905	185	17	exergy	exergy	NOUN
ajst-30905	185	18	analysis	analysis	NOUN
ajst-30905	185	19	of	of	ADP
ajst-30905	185	20	alternating	alternate	VERB
ajst-30905	185	21	injection	injection	NOUN
ajst-30905	185	22	of	of	ADP
ajst-30905	185	23	oxygen	oxygen	NOUN
ajst-30905	185	24	and	and	CCONJ
ajst-30905	185	25	steam	steam	NOUN
ajst-30905	185	26	in	in	ADP
ajst-30905	185	27	the	the	DET
ajst-30905	185	28	low	low	ADJ
ajst-30905	185	29	emission	emission	NOUN
ajst-30905	185	30	underground	underground	NOUN
ajst-30905	185	31	gasification	gasification	NOUN
ajst-30905	185	32	of	of	ADP
ajst-30905	185	33	deep	deep	ADJ
ajst-30905	185	34	thin	thin	ADJ
ajst-30905	185	35	coal	coal	NOUN
ajst-30905	185	36	.	.	PUNCT
ajst-30905	186	1	appl	appl	PROPN
ajst-30905	186	2	energy	energy	PROPN
ajst-30905	186	3	2017	2017	NUM
ajst-30905	186	4	;	;	PUNCT
ajst-30905	186	5	208	208	NUM
ajst-30905	186	6	:	:	PUNCT
ajst-30905	186	7	62	62	NUM
ajst-30905	186	8	-	-	SYM
ajst-30905	186	9	71	71	NUM
ajst-30905	186	10	.	.	PUNCT
ajst-30905	187	1	[	[	X
ajst-30905	187	2	16	16	NUM
ajst-30905	187	3	]	]	X
ajst-30905	187	4	durdán	durdán	PROPN
ajst-30905	187	5	m	m	PROPN
ajst-30905	187	6	,	,	PUNCT
ajst-30905	187	7	benková	benková	PROPN
ajst-30905	187	8	m	m	PROPN
ajst-30905	187	9	,	,	PUNCT
ajst-30905	187	10	laciak	laciak	PROPN
ajst-30905	187	11	m	m	PROPN
ajst-30905	187	12	,	,	PUNCT
ajst-30905	187	13	kačur	kačur	PROPN
ajst-30905	187	14	j	j	PROPN
ajst-30905	187	15	,	,	PUNCT
ajst-30905	187	16	flegner	flegner	NOUN
ajst-30905	187	17	p.	p.	NOUN
ajst-30905	187	18	regression	regression	NOUN
ajst-30905	187	19	models	model	NOUN
ajst-30905	187	20	utilization	utilization	NOUN
ajst-30905	187	21	to	to	ADP
ajst-30905	187	22	the	the	DET
ajst-30905	187	23	underground	underground	ADJ
ajst-30905	187	24	temperature	temperature	NOUN
ajst-30905	187	25	determination	determination	NOUN
ajst-30905	187	26	at	at	ADP
ajst-30905	187	27	coal	coal	NOUN
ajst-30905	187	28	energy	energy	NOUN
ajst-30905	187	29	conversion	conversion	NOUN
ajst-30905	187	30	.	.	PUNCT
ajst-30905	188	1	energies	energy	NOUN
ajst-30905	188	2	(	(	PUNCT
ajst-30905	188	3	basel	basel	PROPN
ajst-30905	188	4	)	)	PUNCT
ajst-30905	188	5	2021	2021	NUM
ajst-30905	188	6	;	;	PUNCT
ajst-30905	188	7	14(17	14(17	NUM
ajst-30905	188	8	):	):	PUNCT
ajst-30905	188	9	5444	5444	NUM
ajst-30905	188	10	.	.	PUNCT
ajst-30905	189	1	[	[	X
ajst-30905	189	2	17	17	NUM
ajst-30905	189	3	]	]	X
ajst-30905	189	4	najafi	najafi	PROPN
ajst-30905	189	5	m	m	PROPN
ajst-30905	189	6	,	,	PUNCT
ajst-30905	189	7	jalali	jalali	PROPN
ajst-30905	189	8	sme	sme	PROPN
ajst-30905	189	9	,	,	PUNCT
ajst-30905	189	10	khalokakaie	khalokakaie	PROPN
ajst-30905	189	11	r	r	NOUN
ajst-30905	189	12	,	,	PUNCT
ajst-30905	189	13	forouhandeh	forouhandeh	PROPN
ajst-30905	189	14	f.	f.	PROPN
ajst-30905	189	15	prediction	prediction	NOUN
ajst-30905	189	16	of	of	ADP
ajst-30905	189	17	cavity	cavity	NOUN
ajst-30905	189	18	growth	growth	NOUN
ajst-30905	189	19	rate	rate	NOUN
ajst-30905	189	20	during	during	ADP
ajst-30905	189	21	underground	underground	ADJ
ajst-30905	189	22	coal	coal	NOUN
ajst-30905	189	23	gasification	gasification	NOUN
ajst-30905	189	24	using	use	VERB
ajst-30905	189	25	multiple	multiple	ADJ
ajst-30905	189	26	regression	regression	NOUN
ajst-30905	189	27	analysis	analysis	NOUN
ajst-30905	189	28	.	.	PUNCT
ajst-30905	190	1	int	int	PROPN
ajst-30905	190	2	j	j	PROPN
ajst-30905	190	3	coal	coal	NOUN
ajst-30905	190	4	sci	sci	PROPN
ajst-30905	190	5	technol	technol	PROPN
ajst-30905	190	6	2015	2015	NUM
ajst-30905	190	7	;	;	PUNCT
ajst-30905	190	8	2(4	2(4	NUM
ajst-30905	190	9	):	):	PUNCT
ajst-30905	190	10	318	318	NUM
ajst-30905	190	11	-	-	SYM
ajst-30905	190	12	24	24	NUM
ajst-30905	190	13	.	.	PUNCT
ajst-30905	191	1	[	[	X
ajst-30905	191	2	18	18	NUM
ajst-30905	191	3	]	]	PUNCT
ajst-30905	191	4	kacur	kacur	PROPN
ajst-30905	191	5	j	j	PROPN
ajst-30905	191	6	,	,	PUNCT
ajst-30905	191	7	laciak	laciak	PROPN
ajst-30905	191	8	m	m	PROPN
ajst-30905	191	9	,	,	PUNCT
ajst-30905	191	10	durdan	durdan	PROPN
ajst-30905	191	11	m	m	PROPN
ajst-30905	191	12	,	,	PUNCT
ajst-30905	191	13	flegner	flegner	ADJ
ajst-30905	191	14	p.	p.	NOUN
ajst-30905	191	15	utilization	utilization	NOUN
ajst-30905	191	16	of	of	ADP
ajst-30905	191	17	machine	machine	NOUN
ajst-30905	191	18	learning	learning	NOUN
ajst-30905	191	19	method	method	NOUN
ajst-30905	191	20	in	in	ADP
ajst-30905	191	21	prediction	prediction	NOUN
ajst-30905	191	22	of	of	ADP
ajst-30905	191	23	ucg	ucg	PROPN
ajst-30905	191	24	data	data	PROPN
ajst-30905	191	25	.	.	PUNCT
ajst-30905	192	1	ieee	ieee	PROPN
ajst-30905	192	2	.	.	PUNCT
ajst-30905	193	1	2017	2017	NUM
ajst-30905	193	2	.	.	PUNCT
ajst-30905	194	1	pp	pp	ADJ
ajst-30905	194	2	.	.	PUNCT
ajst-30905	195	1	278	278	NUM
ajst-30905	195	2	-	-	SYM
ajst-30905	195	3	83	83	NUM
ajst-30905	195	4	.	.	PUNCT
ajst-30905	196	1	[	[	X
ajst-30905	196	2	19	19	NUM
ajst-30905	196	3	]	]	X
ajst-30905	196	4	krzemień	krzemień	NOUN
ajst-30905	196	5	a.	a.	NOUN
ajst-30905	196	6	fire	fire	PROPN
ajst-30905	196	7	risk	risk	NOUN
ajst-30905	196	8	prevention	prevention	NOUN
ajst-30905	196	9	in	in	ADP
ajst-30905	196	10	underground	underground	ADJ
ajst-30905	196	11	coal	coal	NOUN
ajst-30905	196	12	gasification	gasification	NOUN
ajst-30905	196	13	(	(	PUNCT
ajst-30905	196	14	ucg	ucg	PROPN
ajst-30905	196	15	)	)	PUNCT
ajst-30905	196	16	within	within	ADP
ajst-30905	196	17	active	active	ADJ
ajst-30905	196	18	mines	mine	NOUN
ajst-30905	196	19	:	:	PUNCT
ajst-30905	196	20	temperature	temperature	NOUN
ajst-30905	196	21	forecast	forecast	NOUN
ajst-30905	196	22	by	by	ADP
ajst-30905	196	23	means	mean	NOUN
ajst-30905	196	24	of	of	ADP
ajst-30905	196	25	mars	mar	NOUN
ajst-30905	196	26	models	model	NOUN
ajst-30905	196	27	.	.	PUNCT
ajst-30905	197	1	energy	energy	NOUN
ajst-30905	197	2	(	(	PUNCT
ajst-30905	197	3	oxford	oxford	PROPN
ajst-30905	197	4	)	)	PUNCT
ajst-30905	197	5	2019	2019	NUM
ajst-30905	197	6	;	;	PUNCT
ajst-30905	197	7	170	170	NUM
ajst-30905	197	8	:	:	PUNCT
ajst-30905	197	9	777	777	NUM
ajst-30905	197	10	-	-	SYM
ajst-30905	197	11	90	90	NUM
ajst-30905	197	12	.	.	PUNCT
ajst-30905	198	1	[	[	X
ajst-30905	198	2	20	20	NUM
ajst-30905	198	3	]	]	X
ajst-30905	198	4	xiao	xiao	PROPN
ajst-30905	198	5	y	y	PROPN
ajst-30905	198	6	,	,	PUNCT
ajst-30905	198	7	yin	yin	PROPN
ajst-30905	198	8	h	h	PROPN
ajst-30905	198	9	,	,	PUNCT
ajst-30905	198	10	duan	duan	PROPN
ajst-30905	198	11	t	t	PROPN
ajst-30905	198	12	,	,	PUNCT
ajst-30905	198	13	qi	qi	PROPN
ajst-30905	198	14	h	h	PROPN
ajst-30905	198	15	,	,	PUNCT
ajst-30905	198	16	zhang	zhang	PROPN
ajst-30905	198	17	y	y	PROPN
ajst-30905	198	18	,	,	PUNCT
ajst-30905	198	19	jolfaei	jolfaei	NOUN
ajst-30905	198	20	a	a	PRON
ajst-30905	198	21	,	,	PUNCT
ajst-30905	198	22	et	et	PROPN
ajst-30905	198	23	al	al	PROPN
ajst-30905	198	24	.	.	PUNCT
ajst-30905	199	1	an	an	DET
ajst-30905	199	2	intelligent	intelligent	ADJ
ajst-30905	199	3	prediction	prediction	NOUN
ajst-30905	199	4	model	model	NOUN
ajst-30905	199	5	for	for	ADP
ajst-30905	199	6	ucg	ucg	PROPN
ajst-30905	199	7	state	state	PROPN
ajst-30905	199	8	based	base	VERB
ajst-30905	199	9	on	on	ADP
ajst-30905	199	10	dual	dual	ADJ
ajst-30905	199	11	-	-	PUNCT
ajst-30905	199	12	source	source	NOUN
ajst-30905	199	13	lstm	lstm	NOUN
ajst-30905	199	14	.	.	PUNCT
ajst-30905	200	1	int	int	PROPN
ajst-30905	200	2	j	j	PROPN
ajst-30905	200	3	mach	mach	NOUN
ajst-30905	200	4	learn	learn	VERB
ajst-30905	200	5	cybern	cybern	ADJ
ajst-30905	200	6	2021	2021	NUM
ajst-30905	200	7	;	;	PUNCT
ajst-30905	200	8	12(11	12(11	NUM
ajst-30905	200	9	):	):	PUNCT
ajst-30905	200	10	3169	3169	NUM
ajst-30905	200	11	-	-	SYM
ajst-30905	200	12	78	78	NUM
ajst-30905	200	13	.	.	PUNCT
ajst-30905	201	1	[	[	X
ajst-30905	201	2	21	21	NUM
ajst-30905	201	3	]	]	X
ajst-30905	201	4	vaswani	vaswani	NOUN
ajst-30905	201	5	a	a	PRON
ajst-30905	201	6	,	,	PUNCT
ajst-30905	201	7	shazeer	shazeer	NOUN
ajst-30905	201	8	n	n	SYM
ajst-30905	201	9	,	,	PUNCT
ajst-30905	201	10	parmar	parmar	PROPN
ajst-30905	201	11	n	n	CCONJ
ajst-30905	201	12	,	,	PUNCT
ajst-30905	201	13	uszkoreit	uszkoreit	PROPN
ajst-30905	201	14	j	j	PROPN
ajst-30905	201	15	,	,	PUNCT
ajst-30905	201	16	jones	jones	PROPN
ajst-30905	201	17	l	l	PROPN
ajst-30905	201	18	,	,	PUNCT
ajst-30905	201	19	gomez	gomez	PROPN
ajst-30905	201	20	an	an	PROPN
ajst-30905	201	21	,	,	PUNCT
ajst-30905	201	22	et	et	PROPN
ajst-30905	201	23	al	al	PROPN
ajst-30905	201	24	.	.	PUNCT
ajst-30905	201	25	attention	attention	NOUN
ajst-30905	201	26	is	be	AUX
ajst-30905	201	27	all	all	PRON
ajst-30905	201	28	you	you	PRON
ajst-30905	201	29	need	need	VERB
ajst-30905	201	30	.	.	PUNCT
ajst-30905	202	1	advances	advance	NOUN
ajst-30905	202	2	in	in	ADP
ajst-30905	202	3	neural	neural	ADJ
ajst-30905	202	4	information	information	NOUN
ajst-30905	202	5	processing	processing	NOUN
ajst-30905	202	6	systems	system	NOUN
ajst-30905	202	7	,	,	PUNCT
ajst-30905	202	8	vol	vol	NOUN
ajst-30905	202	9	.	.	PUNCT
ajst-30905	202	10	vol	vol	NOUN
ajst-30905	202	11	.	.	PROPN
ajst-30905	202	12	30	30	NUM
ajst-30905	202	13	.	.	PUNCT
ajst-30905	203	1	curran	curran	PROPN
ajst-30905	203	2	associates	associates	PROPN
ajst-30905	203	3	,	,	PUNCT
ajst-30905	203	4	inc	inc	PROPN
ajst-30905	203	5	.	.	PUNCT
ajst-30905	204	1	[	[	X
ajst-30905	204	2	22	22	NUM
ajst-30905	204	3	]	]	PUNCT
ajst-30905	204	4	child	child	NOUN
ajst-30905	204	5	r	r	NOUN
ajst-30905	204	6	,	,	PUNCT
ajst-30905	204	7	gray	gray	ADJ
ajst-30905	204	8	s	s	PROPN
ajst-30905	204	9	,	,	PUNCT
ajst-30905	204	10	radford	radford	PROPN
ajst-30905	204	11	a	a	PROPN
ajst-30905	204	12	,	,	PUNCT
ajst-30905	204	13	sutskever	sutskever	AUX
ajst-30905	204	14	i.	i.	PROPN
ajst-30905	204	15	generating	generate	VERB
ajst-30905	204	16	long	long	ADJ
ajst-30905	204	17	sequences	sequence	NOUN
ajst-30905	204	18	with	with	ADP
ajst-30905	204	19	sparse	sparse	ADJ
ajst-30905	204	20	transformers	transformer	NOUN
ajst-30905	204	21	.	.	PUNCT
ajst-30905	205	1	ithaca	ithaca	PROPN
ajst-30905	205	2	:	:	PUNCT
ajst-30905	205	3	cornell	cornell	PROPN
ajst-30905	205	4	university	university	PROPN
ajst-30905	205	5	library	library	NOUN
ajst-30905	205	6	,	,	PUNCT
ajst-30905	205	7	arxiv.org	arxiv.org	NOUN
ajst-30905	205	8	;	;	PUNCT
ajst-30905	205	9	2019	2019	NUM
ajst-30905	205	10	.	.	PUNCT
ajst-30905	206	1	arxiv	arxiv	PROPN
ajst-30905	206	2	preprint	preprint	PROPN
ajst-30905	206	3	arxiv	arxiv	PROPN
ajst-30905	206	4	:	:	PUNCT
ajst-30905	206	5	1904	1904	NUM
ajst-30905	206	6	.	.	PUNCT
ajst-30905	207	1	10509	10509	NUM
ajst-30905	207	2	.	.	PUNCT
ajst-30905	208	1	[	[	X
ajst-30905	208	2	23	23	NUM
ajst-30905	208	3	]	]	X
ajst-30905	208	4	li	li	PROPN
ajst-30905	208	5	s	s	PROPN
ajst-30905	208	6	,	,	PUNCT
ajst-30905	208	7	jin	jin	NOUN
ajst-30905	208	8	x	x	PROPN
ajst-30905	208	9	,	,	PUNCT
ajst-30905	208	10	xuan	xuan	PROPN
ajst-30905	208	11	y	y	PROPN
ajst-30905	208	12	,	,	PUNCT
ajst-30905	208	13	zhou	zhou	PROPN
ajst-30905	208	14	x	x	PROPN
ajst-30905	208	15	,	,	PUNCT
ajst-30905	208	16	chen	chen	PROPN
ajst-30905	208	17	w	w	PROPN
ajst-30905	208	18	,	,	PUNCT
ajst-30905	208	19	wang	wang	PROPN
ajst-30905	208	20	y	y	PROPN
ajst-30905	208	21	-	-	PROPN
ajst-30905	208	22	x	x	PROPN
ajst-30905	208	23	,	,	PUNCT
ajst-30905	208	24	et	et	PROPN
ajst-30905	208	25	al	al	PROPN
ajst-30905	208	26	enhancing	enhance	VERB
ajst-30905	208	27	the	the	DET
ajst-30905	208	28	locality	locality	NOUN
ajst-30905	208	29	and	and	CCONJ
ajst-30905	208	30	breaking	break	VERB
ajst-30905	208	31	the	the	DET
ajst-30905	208	32	memory	memory	NOUN
ajst-30905	208	33	bottleneck	bottleneck	NOUN
ajst-30905	208	34	of	of	ADP
ajst-30905	208	35	transformer	transformer	NOUN
ajst-30905	208	36	on	on	ADP
ajst-30905	208	37	time	time	NOUN
ajst-30905	208	38	series	series	PROPN
ajst-30905	208	39	forecasting	forecasting	PROPN
ajst-30905	208	40	.	.	PUNCT
ajst-30905	209	1	advances	advance	NOUN
ajst-30905	209	2	in	in	ADP
ajst-30905	209	3	neural	neural	ADJ
ajst-30905	209	4	information	information	NOUN
ajst-30905	209	5	processing	processing	NOUN
ajst-30905	209	6	systems	system	NOUN
ajst-30905	209	7	,	,	PUNCT
ajst-30905	209	8	vol	vol	NOUN
ajst-30905	209	9	.	.	PUNCT
ajst-30905	209	10	vol	vol	NOUN
ajst-30905	209	11	.	.	PUNCT
ajst-30905	210	1	32	32	NUM
ajst-30905	210	2	.	.	PUNCT
ajst-30905	211	1	curran	curran	PROPN
ajst-30905	211	2	associates	associates	PROPN
ajst-30905	211	3	,	,	PUNCT
ajst-30905	211	4	inc	inc	PROPN
ajst-30905	211	5	.	.	PROPN
ajst-30905	211	6	,	,	PUNCT
ajst-30905	211	7	p.	p.	PROPN
ajst-30905	211	8	arxiv	arxiv	PROPN
ajst-30905	211	9	preprint	preprint	PROPN
ajst-30905	211	10	arxiv	arxiv	PROPN
ajst-30905	211	11	:	:	PUNCT
ajst-30905	211	12	1907	1907	NUM
ajst-30905	211	13	.	.	PUNCT
ajst-30905	212	1	00235	00235	NUM
ajst-30905	212	2	.	.	PUNCT
ajst-30905	213	1	[	[	X
ajst-30905	213	2	24	24	NUM
ajst-30905	213	3	]	]	SYM
ajst-30905	213	4	beltagy	beltagy	PROPN
ajst-30905	213	5	i	i	PROPN
ajst-30905	213	6	,	,	PUNCT
ajst-30905	213	7	peters	peters	PROPN
ajst-30905	213	8	me	i	PRON
ajst-30905	213	9	,	,	PUNCT
ajst-30905	213	10	cohan	cohan	PROPN
ajst-30905	213	11	a.	a.	PROPN
ajst-30905	213	12	longformer	longformer	PROPN
ajst-30905	213	13	:	:	PUNCT
ajst-30905	213	14	the	the	DET
ajst-30905	213	15	longdocument	longdocument	NOUN
ajst-30905	213	16	transformer	transformer	NOUN
ajst-30905	213	17	.	.	PUNCT
ajst-30905	214	1	ithaca	ithaca	PROPN
ajst-30905	214	2	:	:	PUNCT
ajst-30905	214	3	cornell	cornell	PROPN
ajst-30905	214	4	university	university	PROPN
ajst-30905	214	5	library	library	NOUN
ajst-30905	214	6	,	,	PUNCT
ajst-30905	214	7	arxiv.org	arxiv.org	NOUN
ajst-30905	214	8	;	;	PUNCT
ajst-30905	214	9	2020	2020	NUM
ajst-30905	214	10	.	.	PUNCT
ajst-30905	215	1	arxiv	arxiv	PROPN
ajst-30905	215	2	preprint	preprint	PROPN
ajst-30905	215	3	arxiv	arxiv	PROPN
ajst-30905	215	4	:	:	PUNCT
ajst-30905	215	5	2004.05150	2004.05150	NUM
ajst-30905	216	1	[	[	X
ajst-30905	216	2	25	25	NUM
ajst-30905	216	3	]	]	X
ajst-30905	216	4	wang	wang	PROPN
ajst-30905	216	5	s	s	PROPN
ajst-30905	216	6	,	,	PUNCT
ajst-30905	216	7	li	li	PROPN
ajst-30905	216	8	bz	bz	PROPN
ajst-30905	216	9	,	,	PUNCT
ajst-30905	216	10	khabsa	khabsa	PROPN
ajst-30905	216	11	m	m	PROPN
ajst-30905	216	12	,	,	PUNCT
ajst-30905	216	13	han	han	PROPN
ajst-30905	216	14	f	f	PROPN
ajst-30905	216	15	,	,	PUNCT
ajst-30905	216	16	ma	ma	PROPN
ajst-30905	216	17	h.	h.	PROPN
ajst-30905	216	18	linformer	linformer	PROPN
ajst-30905	216	19	:	:	PUNCT
ajst-30905	216	20	selfattention	selfattention	NOUN
ajst-30905	216	21	with	with	ADP
ajst-30905	216	22	linear	linear	PROPN
ajst-30905	216	23	complexity	complexity	NOUN
ajst-30905	216	24	.	.	PUNCT
ajst-30905	217	1	ithaca	ithaca	PROPN
ajst-30905	217	2	:	:	PUNCT
ajst-30905	217	3	cornell	cornell	PROPN
ajst-30905	217	4	university	university	PROPN
ajst-30905	217	5	library	library	NOUN
ajst-30905	217	6	,	,	PUNCT
ajst-30905	217	7	arxiv.org	arxiv.org	NOUN
ajst-30905	217	8	;	;	PUNCT
ajst-30905	217	9	2020	2020	NUM
ajst-30905	217	10	.	.	PUNCT
ajst-30905	218	1	arxiv	arxiv	PROPN
ajst-30905	218	2	preprint	preprint	PROPN
ajst-30905	218	3	arxiv	arxiv	PROPN
ajst-30905	218	4	:	:	PUNCT
ajst-30905	218	5	2006.04768	2006.04768	NUM
ajst-30905	218	6	.	.	PUNCT
ajst-30905	219	1	[	[	X
ajst-30905	219	2	26	26	NUM
ajst-30905	219	3	]	]	X
ajst-30905	219	4	zhou	zhou	PROPN
ajst-30905	219	5	h	h	PROPN
ajst-30905	219	6	,	,	PUNCT
ajst-30905	219	7	zhang	zhang	PROPN
ajst-30905	219	8	s	s	PROPN
ajst-30905	219	9	,	,	PUNCT
ajst-30905	219	10	peng	peng	PROPN
ajst-30905	219	11	j	j	PROPN
ajst-30905	219	12	,	,	PUNCT
ajst-30905	219	13	zhang	zhang	PROPN
ajst-30905	219	14	s	s	PROPN
ajst-30905	219	15	,	,	PUNCT
ajst-30905	219	16	li	li	PROPN
ajst-30905	219	17	j	j	PROPN
ajst-30905	219	18	,	,	PUNCT
ajst-30905	219	19	xiong	xiong	PROPN
ajst-30905	219	20	h	h	PROPN
ajst-30905	219	21	,	,	PUNCT
ajst-30905	219	22	et	et	PROPN
ajst-30905	219	23	al	al	PROPN
ajst-30905	219	24	informer	informer	NOUN
ajst-30905	219	25	:	:	PUNCT
ajst-30905	219	26	beyond	beyond	ADP
ajst-30905	219	27	efficient	efficient	ADJ
ajst-30905	219	28	transformer	transformer	NOUN
ajst-30905	219	29	for	for	ADP
ajst-30905	219	30	long	long	ADJ
ajst-30905	219	31	sequence	sequence	NOUN
ajst-30905	219	32	timeseries	timeserie	NOUN
ajst-30905	219	33	forecasting	forecasting	NOUN
ajst-30905	219	34	.	.	PUNCT
ajst-30905	220	1	2020	2020	NUM
ajst-30905	220	2	.	.	PUNCT
ajst-30905	221	1	arxiv	arxiv	PROPN
ajst-30905	221	2	preprint	preprint	PROPN
ajst-30905	221	3	arxiv	arxiv	PROPN
ajst-30905	221	4	:	:	PUNCT
ajst-30905	221	5	2012	2012	NUM
ajst-30905	221	6	.	.	PUNCT
ajst-30905	221	7	07436	07436	NUM
ajst-30905	222	1	[	[	X
ajst-30905	222	2	27	27	NUM
ajst-30905	222	3	]	]	X
ajst-30905	222	4	prabu	prabu	NOUN
ajst-30905	222	5	v	v	PROPN
ajst-30905	222	6	,	,	PUNCT
ajst-30905	222	7	jayanti	jayanti	PROPN
ajst-30905	222	8	s.	s.	PROPN
ajst-30905	222	9	simulation	simulation	PROPN
ajst-30905	222	10	of	of	ADP
ajst-30905	222	11	cavity	cavity	NOUN
ajst-30905	222	12	formation	formation	NOUN
ajst-30905	222	13	in	in	ADP
ajst-30905	222	14	underground	underground	ADJ
ajst-30905	222	15	coal	coal	NOUN
ajst-30905	222	16	gasification	gasification	NOUN
ajst-30905	222	17	using	use	VERB
ajst-30905	222	18	bore	bore	PROPN
ajst-30905	222	19	hole	hole	NOUN
ajst-30905	222	20	combustion	combustion	NOUN
ajst-30905	222	21	experiments	experiment	NOUN
ajst-30905	222	22	.	.	PUNCT
ajst-30905	223	1	energy	energy	NOUN
ajst-30905	223	2	(	(	PUNCT
ajst-30905	223	3	oxford	oxford	PROPN
ajst-30905	223	4	)	)	PUNCT
ajst-30905	223	5	2011	2011	NUM
ajst-30905	223	6	;	;	PUNCT
ajst-30905	223	7	36(10	36(10	NUM
ajst-30905	223	8	):	):	PUNCT
ajst-30905	223	9	5854	5854	NUM
ajst-30905	223	10	-	-	SYM
ajst-30905	223	11	64	64	NUM
ajst-30905	223	12	.	.	PUNCT
ajst-30905	224	1	[	[	X
ajst-30905	224	2	28	28	NUM
ajst-30905	224	3	]	]	X
ajst-30905	224	4	gong	gong	NOUN
ajst-30905	224	5	m	m	PROPN
ajst-30905	224	6	,	,	PUNCT
ajst-30905	224	7	zhao	zhao	PROPN
ajst-30905	224	8	y	y	PROPN
ajst-30905	224	9	,	,	PUNCT
ajst-30905	224	10	sun	sun	PROPN
ajst-30905	224	11	j	j	PROPN
ajst-30905	224	12	,	,	PUNCT
ajst-30905	224	13	han	han	PROPN
ajst-30905	224	14	c	c	PROPN
ajst-30905	224	15	,	,	PUNCT
ajst-30905	224	16	sun	sun	NOUN
ajst-30905	224	17	g	g	PROPN
ajst-30905	224	18	,	,	PUNCT
ajst-30905	224	19	yan	yan	PROPN
ajst-30905	224	20	b.	b.	PROPN
ajst-30905	224	21	load	load	PROPN
ajst-30905	224	22	forecasting	forecasting	NOUN
ajst-30905	224	23	of	of	ADP
ajst-30905	224	24	district	district	NOUN
ajst-30905	224	25	heating	heating	NOUN
ajst-30905	224	26	system	system	NOUN
ajst-30905	224	27	based	base	VERB
ajst-30905	224	28	on	on	ADP
ajst-30905	224	29	informer	informer	NOUN
ajst-30905	224	30	.	.	PUNCT
ajst-30905	225	1	energy	energy	NOUN
ajst-30905	225	2	(	(	PUNCT
ajst-30905	225	3	oxf	oxf	PROPN
ajst-30905	225	4	)	)	PUNCT
ajst-30905	225	5	2022	2022	NUM
ajst-30905	225	6	;	;	PUNCT
ajst-30905	225	7	253	253	NUM
ajst-30905	225	8	:	:	SYM
ajst-30905	225	9	124179	124179	NUM
ajst-30905	225	10	.	.	PUNCT