id	sid	tid	token	lemma	pos
easat-1097	1	1	edelweiss	edelweiss	PROPN
easat-1097	1	2	applied	apply	VERB
easat-1097	1	3	science	science	NOUN
easat-1097	1	4	and	and	CCONJ
easat-1097	1	5	technology	technology	NOUN
easat-1097	1	6	issn	issn	PROPN
easat-1097	1	7	:	:	PUNCT
easat-1097	1	8	2576	2576	NUM
easat-1097	1	9	-	-	SYM
easat-1097	1	10	8484	8484	NUM
easat-1097	1	11	vol	vol	NOUN
easat-1097	1	12	.	.	PROPN
easat-1097	1	13	8	8	NUM
easat-1097	1	14	,	,	PUNCT
easat-1097	1	15	no	no	INTJ
easat-1097	1	16	.	.	NOUN
easat-1097	1	17	4	4	NUM
easat-1097	1	18	,	,	PUNCT
easat-1097	1	19	1	1	NUM
easat-1097	1	20	-	-	SYM
easat-1097	1	21	11	11	NUM
easat-1097	1	22	,	,	PUNCT
easat-1097	1	23	2024	2024	NUM
easat-1097	1	24	publisher	publisher	NOUN
easat-1097	1	25	:	:	PUNCT
easat-1097	1	26	learning	learn	VERB
easat-1097	1	27	gate	gate	NOUN
easat-1097	1	28	doi	doi	PROPN
easat-1097	1	29	:	:	PUNCT
easat-1097	1	30	10.55214/25768484.v8i4.1097	10.55214/25768484.v8i4.1097	NUM
easat-1097	1	31	©	©	ADP
easat-1097	1	32	2024	2024	NUM
easat-1097	1	33	by	by	ADP
easat-1097	1	34	the	the	DET
easat-1097	1	35	authors	author	NOUN
easat-1097	1	36	;	;	PUNCT
easat-1097	1	37	licensee	licensee	PROPN
easat-1097	1	38	learning	learning	NOUN
easat-1097	1	39	gate	gate	NOUN
easat-1097	1	40	©	©	PROPN
easat-1097	1	41	2024	2024	NUM
easat-1097	1	42	by	by	ADP
easat-1097	1	43	the	the	DET
easat-1097	1	44	authors	author	NOUN
easat-1097	1	45	;	;	PUNCT
easat-1097	1	46	licensee	licensee	PROPN
easat-1097	1	47	learning	learning	NOUN
easat-1097	1	48	gate	gate	NOUN
easat-1097	1	49	history	history	NOUN
easat-1097	1	50	:	:	PUNCT
easat-1097	1	51	received	receive	VERB
easat-1097	1	52	:	:	PUNCT
easat-1097	1	53	22	22	NUM
easat-1097	1	54	january	january	PROPN
easat-1097	1	55	2024	2024	NUM
easat-1097	1	56	;	;	PUNCT
easat-1097	1	57	revised	revise	VERB
easat-1097	1	58	:	:	PUNCT
easat-1097	1	59	5	5	NUM
easat-1097	1	60	april	april	PROPN
easat-1097	1	61	2024	2024	NUM
easat-1097	1	62	;	;	PUNCT
easat-1097	1	63	accepted	accept	VERB
easat-1097	1	64	:	:	PUNCT
easat-1097	1	65	26	26	NUM
easat-1097	1	66	april	april	PROPN
easat-1097	1	67	2024	2024	NUM
easat-1097	1	68	;	;	PUNCT
easat-1097	1	69	published	publish	VERB
easat-1097	1	70	:	:	PUNCT
easat-1097	1	71	17	17	NUM
easat-1097	1	72	may	may	PROPN
easat-1097	1	73	2024	2024	NUM
easat-1097	1	74	*	*	PUNCT
easat-1097	1	75	correspondence	correspondence	NOUN
easat-1097	1	76	:	:	PUNCT
easat-1097	1	77	kanyarat.bu@ssru.ac.th	kanyarat.bu@ssru.ac.th	ADJ
easat-1097	1	78	prediction	prediction	NOUN
easat-1097	1	79	of	of	ADP
easat-1097	1	80	co2	co2	NOUN
easat-1097	1	81	emissions	emission	NOUN
easat-1097	1	82	using	use	VERB
easat-1097	1	83	machine	machine	NOUN
easat-1097	1	84	learning	learn	VERB
easat-1097	1	85	kanyarat	kanyarat	PROPN
easat-1097	1	86	bussaban1	bussaban1	PROPN
easat-1097	1	87	*	*	PROPN
easat-1097	1	88	,	,	PUNCT
easat-1097	1	89	kunyanuth	kunyanuth	PROPN
easat-1097	1	90	kularbphettong1	kularbphettong1	PROPN
easat-1097	1	91	,	,	PUNCT
easat-1097	1	92	nareenart	nareenart	ADJ
easat-1097	1	93	raksuntorn1	raksuntorn1	PROPN
easat-1097	1	94	,	,	PUNCT
easat-1097	1	95	chongrag	chongrag	NOUN
easat-1097	1	96	boonseng2	boonseng2	NOUN
easat-1097	1	97	1faculty	1faculty	NUM
easat-1097	1	98	of	of	ADP
easat-1097	1	99	science	science	NOUN
easat-1097	1	100	and	and	CCONJ
easat-1097	1	101	technology	technology	NOUN
easat-1097	1	102	,	,	PUNCT
easat-1097	1	103	suan	suan	PROPN
easat-1097	1	104	sunandha	sunandha	PROPN
easat-1097	2	1	rajabhat	rajabhat	PROPN
easat-1097	2	2	university	university	PROPN
easat-1097	2	3	,	,	PUNCT
easat-1097	2	4	bangkok	bangkok	PROPN
easat-1097	2	5	,	,	PUNCT
easat-1097	2	6	thailand	thailand	PROPN
easat-1097	2	7	;	;	PUNCT
easat-1097	2	8	kanyarat.bu@ssru.ac.th	kanyarat.bu@ssru.ac.th	PROPN
easat-1097	2	9	(	(	PUNCT
easat-1097	2	10	k.b	k.b	PROPN
easat-1097	2	11	.	.	PROPN
easat-1097	2	12	)	)	PUNCT
easat-1097	2	13	,	,	PUNCT
easat-1097	2	14	kunyanuth.ku@ssru.ac.th	kunyanuth.ku@ssru.ac.th	PROPN
easat-1097	2	15	(	(	PUNCT
easat-1097	2	16	k.k	k.k	PROPN
easat-1097	2	17	.	.	PROPN
easat-1097	2	18	)	)	PUNCT
easat-1097	2	19	,	,	PUNCT
easat-1097	2	20	nareenart.ra@ssru.ac.th	nareenart.ra@ssru.ac.th	PRON
easat-1097	2	21	(	(	PUNCT
easat-1097	2	22	n.r	n.r	PROPN
easat-1097	2	23	.	.	PROPN
easat-1097	2	24	)	)	PUNCT
easat-1097	2	25	2faculty	2faculty	NUM
easat-1097	2	26	of	of	ADP
easat-1097	2	27	engineering	engineering	NOUN
easat-1097	2	28	,	,	PUNCT
easat-1097	2	29	king	king	PROPN
easat-1097	2	30	mongkut	mongkut	PROPN
easat-1097	2	31	's	's	PART
easat-1097	2	32	institute	institute	PROPN
easat-1097	2	33	of	of	ADP
easat-1097	2	34	technology	technology	PROPN
easat-1097	2	35	ladkrabang	ladkrabang	PROPN
easat-1097	2	36	,	,	PUNCT
easat-1097	2	37	bangkok	bangkok	PROPN
easat-1097	2	38	,	,	PUNCT
easat-1097	2	39	thailand	thailand	PROPN
easat-1097	2	40	;	;	PUNCT
easat-1097	2	41	chongrag.bo@kmitl.ac.th	chongrag.bo@kmitl.ac.th	PROPN
easat-1097	2	42	(	(	PUNCT
easat-1097	2	43	c.b	c.b	PROPN
easat-1097	2	44	.	.	PUNCT
easat-1097	2	45	)	)	PUNCT
easat-1097	3	1	abstract	abstract	NOUN
easat-1097	3	2	:	:	PUNCT
easat-1097	3	3	carbon	carbon	NOUN
easat-1097	3	4	dioxide	dioxide	NOUN
easat-1097	3	5	(	(	PUNCT
easat-1097	3	6	co2	co2	NOUN
easat-1097	3	7	)	)	PUNCT
easat-1097	3	8	contributes	contribute	VERB
easat-1097	3	9	significantly	significantly	ADV
easat-1097	3	10	to	to	PART
easat-1097	3	11	climate	climate	NOUN
easat-1097	3	12	change	change	NOUN
easat-1097	3	13	as	as	ADP
easat-1097	3	14	a	a	DET
easat-1097	3	15	greenhouse	greenhouse	NOUN
easat-1097	3	16	gas	gas	NOUN
easat-1097	3	17	.	.	PUNCT
easat-1097	4	1	the	the	DET
easat-1097	4	2	earth	earth	NOUN
easat-1097	4	3	's	's	PART
easat-1097	4	4	atmosphere	atmosphere	NOUN
easat-1097	4	5	is	be	AUX
easat-1097	4	6	naturally	naturally	ADV
easat-1097	4	7	kept	keep	VERB
easat-1097	4	8	warm	warm	ADJ
easat-1097	4	9	enough	enough	ADV
easat-1097	4	10	to	to	PART
easat-1097	4	11	support	support	VERB
easat-1097	4	12	life	life	NOUN
easat-1097	4	13	by	by	ADP
easat-1097	4	14	greenhouse	greenhouse	NOUN
easat-1097	4	15	gases	gas	NOUN
easat-1097	4	16	which	which	PRON
easat-1097	4	17	trap	trap	VERB
easat-1097	4	18	heat	heat	NOUN
easat-1097	4	19	in	in	ADP
easat-1097	4	20	the	the	DET
easat-1097	4	21	atmosphere	atmosphere	NOUN
easat-1097	4	22	.	.	PUNCT
easat-1097	5	1	however	however	ADV
easat-1097	5	2	,	,	PUNCT
easat-1097	5	3	human	human	ADJ
easat-1097	5	4	activity	activity	NOUN
easat-1097	5	5	has	have	AUX
easat-1097	5	6	significantly	significantly	ADV
easat-1097	5	7	increased	increase	VERB
easat-1097	5	8	the	the	DET
easat-1097	5	9	amount	amount	NOUN
easat-1097	5	10	of	of	ADP
easat-1097	5	11	co2	co2	NOUN
easat-1097	5	12	in	in	ADP
easat-1097	5	13	the	the	DET
easat-1097	5	14	atmosphere	atmosphere	NOUN
easat-1097	5	15	because	because	SCONJ
easat-1097	5	16	of	of	ADP
easat-1097	5	17	deforestation	deforestation	NOUN
easat-1097	5	18	and	and	CCONJ
easat-1097	5	19	the	the	DET
easat-1097	5	20	use	use	NOUN
easat-1097	5	21	of	of	ADP
easat-1097	5	22	fossil	fossil	ADJ
easat-1097	5	23	fuels	fuel	NOUN
easat-1097	5	24	.	.	PUNCT
easat-1097	6	1	one	one	NUM
easat-1097	6	2	of	of	ADP
easat-1097	6	3	the	the	DET
easat-1097	6	4	key	key	ADJ
easat-1097	6	5	concerns	concern	NOUN
easat-1097	6	6	with	with	ADP
easat-1097	6	7	human	human	ADJ
easat-1097	6	8	evolution	evolution	NOUN
easat-1097	6	9	that	that	PRON
easat-1097	6	10	fuels	fuel	VERB
easat-1097	6	11	global	global	ADJ
easat-1097	6	12	climate	climate	NOUN
easat-1097	6	13	change	change	NOUN
easat-1097	6	14	is	be	AUX
easat-1097	6	15	carbon	carbon	NOUN
easat-1097	6	16	dioxide	dioxide	NOUN
easat-1097	6	17	(	(	PUNCT
easat-1097	6	18	co2	co2	NOUN
easat-1097	6	19	)	)	PUNCT
easat-1097	6	20	.	.	PUNCT
easat-1097	7	1	it	it	PRON
easat-1097	7	2	is	be	AUX
easat-1097	7	3	released	release	VERB
easat-1097	7	4	as	as	SCONJ
easat-1097	7	5	fuels	fuel	NOUN
easat-1097	7	6	burn	burn	VERB
easat-1097	7	7	and	and	CCONJ
easat-1097	7	8	as	as	ADP
easat-1097	7	9	a	a	DET
easat-1097	7	10	result	result	NOUN
easat-1097	7	11	,	,	PUNCT
easat-1097	7	12	people	people	NOUN
easat-1097	7	13	worldwide	worldwide	ADV
easat-1097	7	14	are	be	AUX
easat-1097	7	15	gradually	gradually	ADV
easat-1097	7	16	becoming	become	VERB
easat-1097	7	17	more	more	ADV
easat-1097	7	18	conscious	conscious	ADJ
easat-1097	7	19	of	of	ADP
easat-1097	7	20	environmental	environmental	ADJ
easat-1097	7	21	issues	issue	NOUN
easat-1097	7	22	.	.	PUNCT
easat-1097	8	1	effective	effective	ADJ
easat-1097	8	2	policy	policy	NOUN
easat-1097	8	3	formulation	formulation	NOUN
easat-1097	8	4	requires	require	VERB
easat-1097	8	5	an	an	DET
easat-1097	8	6	investigation	investigation	NOUN
easat-1097	8	7	of	of	ADP
easat-1097	8	8	the	the	DET
easat-1097	8	9	factors	factor	NOUN
easat-1097	8	10	influencing	influence	VERB
easat-1097	8	11	co2	co2	NOUN
easat-1097	8	12	emissions	emission	NOUN
easat-1097	8	13	,	,	PUNCT
easat-1097	8	14	yet	yet	CCONJ
easat-1097	8	15	tiny	tiny	ADJ
easat-1097	8	16	datasets	dataset	NOUN
easat-1097	8	17	and	and	CCONJ
easat-1097	8	18	traditional	traditional	ADJ
easat-1097	8	19	research	research	NOUN
easat-1097	8	20	methodologies	methodology	NOUN
easat-1097	8	21	have	have	AUX
easat-1097	8	22	hampered	hamper	VERB
easat-1097	8	23	prior	prior	ADJ
easat-1097	8	24	investigations	investigation	NOUN
easat-1097	8	25	.	.	PUNCT
easat-1097	9	1	this	this	DET
easat-1097	9	2	research	research	NOUN
easat-1097	9	3	uses	use	VERB
easat-1097	9	4	three	three	NUM
easat-1097	9	5	prediction	prediction	NOUN
easat-1097	9	6	models	model	NOUN
easat-1097	9	7	to	to	PART
easat-1097	9	8	estimate	estimate	VERB
easat-1097	9	9	co2	co2	NOUN
easat-1097	9	10	trapping	trap	VERB
easat-1097	9	11	efficiency	efficiency	NOUN
easat-1097	9	12	among	among	ADP
easat-1097	9	13	co2	co2	NOUN
easat-1097	9	14	emissions	emission	NOUN
easat-1097	9	15	,	,	PUNCT
easat-1097	9	16	energy	energy	NOUN
easat-1097	9	17	use	use	NOUN
easat-1097	9	18	and	and	CCONJ
easat-1097	9	19	gdp	gdp	NOUN
easat-1097	9	20	:	:	PUNCT
easat-1097	9	21	multiple	multiple	ADJ
easat-1097	9	22	linear	linear	ADJ
easat-1097	9	23	regression	regression	NOUN
easat-1097	9	24	(	(	PUNCT
easat-1097	9	25	mlr	mlr	NOUN
easat-1097	9	26	)	)	PUNCT
easat-1097	9	27	,	,	PUNCT
easat-1097	9	28	support	support	NOUN
easat-1097	9	29	vector	vector	NOUN
easat-1097	9	30	machine	machine	NOUN
easat-1097	9	31	(	(	PUNCT
easat-1097	9	32	svm	svm	PROPN
easat-1097	9	33	)	)	PUNCT
easat-1097	9	34	and	and	CCONJ
easat-1097	9	35	random	random	ADJ
easat-1097	9	36	forest	forest	NOUN
easat-1097	9	37	(	(	PUNCT
easat-1097	9	38	rf	rf	NOUN
easat-1097	9	39	)	)	PUNCT
easat-1097	9	40	.	.	PUNCT
easat-1097	10	1	the	the	DET
easat-1097	10	2	machine	machine	NOUN
easat-1097	10	3	learning	learning	NOUN
easat-1097	10	4	(	(	PUNCT
easat-1097	10	5	ml	ml	NOUN
easat-1097	10	6	)	)	PUNCT
easat-1097	10	7	techniques	technique	NOUN
easat-1097	10	8	used	use	VERB
easat-1097	10	9	in	in	ADP
easat-1097	10	10	this	this	DET
easat-1097	10	11	work	work	NOUN
easat-1097	10	12	have	have	AUX
easat-1097	10	13	demonstrated	demonstrate	VERB
easat-1097	10	14	strong	strong	ADJ
easat-1097	10	15	performance	performance	NOUN
easat-1097	10	16	with	with	ADP
easat-1097	10	17	multiple	multiple	ADJ
easat-1097	10	18	linear	linear	ADJ
easat-1097	10	19	regressions	regression	NOUN
easat-1097	10	20	,	,	PUNCT
easat-1097	10	21	support	support	VERB
easat-1097	10	22	vector	vector	NOUN
easat-1097	10	23	machines	machine	NOUN
easat-1097	10	24	and	and	CCONJ
easat-1097	10	25	random	random	ADJ
easat-1097	10	26	forest	forest	NOUN
easat-1097	10	27	models	model	NOUN
easat-1097	10	28	with	with	ADP
easat-1097	10	29	mean	mean	ADJ
easat-1097	10	30	absolute	absolute	ADJ
easat-1097	10	31	error	error	NOUN
easat-1097	10	32	(	(	PUNCT
easat-1097	10	33	mae	mae	PROPN
easat-1097	10	34	)	)	PUNCT
easat-1097	10	35	,	,	PUNCT
easat-1097	10	36	mean	mean	VERB
easat-1097	10	37	absolute	absolute	ADJ
easat-1097	10	38	percentage	percentage	NOUN
easat-1097	10	39	error	error	NOUN
easat-1097	10	40	(	(	PUNCT
easat-1097	10	41	mape	mape	NOUN
easat-1097	10	42	)	)	PUNCT
easat-1097	10	43	and	and	CCONJ
easat-1097	10	44	root	root	NOUN
easat-1097	10	45	mean	mean	ADJ
easat-1097	10	46	square	square	ADJ
easat-1097	10	47	error	error	NOUN
easat-1097	10	48	(	(	PUNCT
easat-1097	10	49	rmse	rmse	NOUN
easat-1097	10	50	)	)	PUNCT
easat-1097	10	51	.	.	PUNCT
easat-1097	11	1	the	the	DET
easat-1097	11	2	investigation	investigation	NOUN
easat-1097	11	3	has	have	AUX
easat-1097	11	4	proposed	propose	VERB
easat-1097	11	5	a	a	DET
easat-1097	11	6	technique	technique	NOUN
easat-1097	11	7	for	for	ADP
easat-1097	11	8	approximating	approximate	VERB
easat-1097	11	9	co2	co2	NOUN
easat-1097	11	10	emissions	emission	NOUN
easat-1097	11	11	and	and	CCONJ
easat-1097	11	12	the	the	DET
easat-1097	11	13	results	result	NOUN
easat-1097	11	14	indicate	indicate	VERB
easat-1097	11	15	that	that	SCONJ
easat-1097	11	16	support	support	NOUN
easat-1097	11	17	vector	vector	NOUN
easat-1097	11	18	machine	machine	NOUN
easat-1097	11	19	(	(	PUNCT
easat-1097	11	20	svm	svm	PROPN
easat-1097	11	21	)	)	PUNCT
easat-1097	11	22	can	can	AUX
easat-1097	11	23	attain	attain	VERB
easat-1097	11	24	the	the	DET
easat-1097	11	25	highest	high	ADJ
easat-1097	11	26	degree	degree	NOUN
easat-1097	11	27	of	of	ADP
easat-1097	11	28	precision	precision	NOUN
easat-1097	11	29	.	.	PUNCT
easat-1097	12	1	the	the	DET
easat-1097	12	2	outcome	outcome	NOUN
easat-1097	12	3	could	could	AUX
easat-1097	12	4	be	be	AUX
easat-1097	12	5	a	a	DET
easat-1097	12	6	useful	useful	ADJ
easat-1097	12	7	model	model	NOUN
easat-1097	12	8	for	for	SCONJ
easat-1097	12	9	the	the	DET
easat-1097	12	10	decision	decision	NOUN
easat-1097	12	11	support	support	NOUN
easat-1097	12	12	system	system	NOUN
easat-1097	12	13	to	to	PART
easat-1097	12	14	enhance	enhance	VERB
easat-1097	12	15	an	an	DET
easat-1097	12	16	appropriate	appropriate	ADJ
easat-1097	12	17	course	course	NOUN
easat-1097	12	18	of	of	ADP
easat-1097	12	19	action	action	NOUN
easat-1097	12	20	for	for	ADP
easat-1097	12	21	reducing	reduce	VERB
easat-1097	12	22	co2	co2	NOUN
easat-1097	12	23	emissions	emission	NOUN
easat-1097	12	24	worldwide	worldwide	ADV
easat-1097	12	25	.	.	PUNCT
easat-1097	13	1	keywords	keyword	NOUN
easat-1097	13	2	:	:	PUNCT
easat-1097	13	3	carbon	carbon	NOUN
easat-1097	13	4	dioxide	dioxide	NOUN
easat-1097	13	5	(	(	PUNCT
easat-1097	13	6	co2	co2	NOUN
easat-1097	13	7	)	)	PUNCT
easat-1097	13	8	,	,	PUNCT
easat-1097	13	9	co2	co2	NOUN
easat-1097	13	10	emissions	emission	NOUN
easat-1097	13	11	,	,	PUNCT
easat-1097	13	12	multiple	multiple	ADJ
easat-1097	13	13	linear	linear	NOUN
easat-1097	13	14	regression	regression	NOUN
easat-1097	13	15	,	,	PUNCT
easat-1097	13	16	random	random	ADJ
easat-1097	13	17	forest	forest	NOUN
easat-1097	13	18	,	,	PUNCT
easat-1097	13	19	support	support	VERB
easat-1097	13	20	vector	vector	NOUN
easat-1097	13	21	machine	machine	NOUN
easat-1097	13	22	.	.	PUNCT
easat-1097	14	1	1	1	X
easat-1097	14	2	.	.	X
easat-1097	14	3	introduction	introduction	NOUN
easat-1097	14	4	the	the	DET
easat-1097	14	5	effect	effect	NOUN
easat-1097	14	6	of	of	ADP
easat-1097	14	7	energy	energy	NOUN
easat-1097	14	8	entering	enter	VERB
easat-1097	14	9	and	and	CCONJ
easat-1097	14	10	leaving	leave	VERB
easat-1097	14	11	the	the	DET
easat-1097	14	12	earth	earth	NOUN
easat-1097	14	13	is	be	AUX
easat-1097	14	14	the	the	DET
easat-1097	14	15	balanced	balanced	ADJ
easat-1097	14	16	temperature	temperature	NOUN
easat-1097	14	17	available	available	ADJ
easat-1097	14	18	for	for	ADP
easat-1097	14	19	any	any	DET
easat-1097	14	20	living	live	VERB
easat-1097	14	21	organism	organism	NOUN
easat-1097	14	22	particularly	particularly	ADV
easat-1097	14	23	humans	human	NOUN
easat-1097	14	24	.	.	PUNCT
easat-1097	15	1	the	the	DET
easat-1097	15	2	radiation	radiation	NOUN
easat-1097	15	3	of	of	ADP
easat-1097	15	4	the	the	DET
easat-1097	15	5	sun	sun	NOUN
easat-1097	15	6	reaching	reach	VERB
easat-1097	15	7	the	the	DET
easat-1097	15	8	surface	surface	NOUN
easat-1097	15	9	of	of	ADP
easat-1097	15	10	the	the	DET
easat-1097	15	11	planet	planet	NOUN
easat-1097	15	12	is	be	AUX
easat-1097	15	13	either	either	ADV
easat-1097	15	14	absorbed	absorb	VERB
easat-1097	15	15	by	by	ADP
easat-1097	15	16	the	the	DET
easat-1097	15	17	earth	earth	NOUN
easat-1097	15	18	or	or	CCONJ
easat-1097	15	19	reflected	reflect	VERB
easat-1097	15	20	into	into	ADP
easat-1097	15	21	space	space	NOUN
easat-1097	15	22	.	.	PUNCT
easat-1097	16	1	the	the	DET
easat-1097	16	2	former	former	ADJ
easat-1097	16	3	subsequently	subsequently	ADV
easat-1097	16	4	releases	release	VERB
easat-1097	16	5	some	some	PRON
easat-1097	16	6	of	of	ADP
easat-1097	16	7	the	the	DET
easat-1097	16	8	energy	energy	NOUN
easat-1097	16	9	back	back	ADV
easat-1097	16	10	into	into	ADP
easat-1097	16	11	the	the	DET
easat-1097	16	12	atmosphere	atmosphere	NOUN
easat-1097	16	13	as	as	ADP
easat-1097	16	14	heat	heat	NOUN
easat-1097	16	15	,	,	PUNCT
easat-1097	16	16	aka	aka	ADV
easat-1097	16	17	.	.	PUNCT
easat-1097	17	1	this	this	DET
easat-1097	17	2	process	process	NOUN
easat-1097	17	3	helps	help	VERB
easat-1097	17	4	balance	balance	VERB
easat-1097	17	5	the	the	DET
easat-1097	17	6	temperature	temperature	NOUN
easat-1097	17	7	on	on	ADP
easat-1097	17	8	earth	earth	NOUN
easat-1097	17	9	and	and	CCONJ
easat-1097	17	10	plays	play	VERB
easat-1097	17	11	a	a	DET
easat-1097	17	12	crucial	crucial	ADJ
easat-1097	17	13	role	role	NOUN
easat-1097	17	14	in	in	ADP
easat-1097	17	15	supporting	support	VERB
easat-1097	17	16	life	life	NOUN
easat-1097	17	17	.	.	PUNCT
easat-1097	18	1	infrared	infrared	ADJ
easat-1097	18	2	radiation	radiation	NOUN
easat-1097	18	3	warms	warm	VERB
easat-1097	18	4	the	the	DET
easat-1097	18	5	planet	planet	NOUN
easat-1097	18	6	but	but	CCONJ
easat-1097	18	7	the	the	DET
easat-1097	18	8	latter	latter	NOUN
easat-1097	18	9	does	do	VERB
easat-1097	18	10	not	not	PART
easat-1097	18	11	.	.	PUNCT
easat-1097	19	1	the	the	DET
easat-1097	19	2	energy	energy	NOUN
easat-1097	19	3	is	be	AUX
easat-1097	19	4	emitted	emit	VERB
easat-1097	19	5	and	and	CCONJ
easat-1097	19	6	then	then	ADV
easat-1097	19	7	absorbed	absorb	VERB
easat-1097	19	8	with	with	ADP
easat-1097	19	9	some	some	DET
easat-1097	19	10	specific	specific	ADJ
easat-1097	19	11	gases	gas	NOUN
easat-1097	19	12	,	,	PUNCT
easat-1097	19	13	aka	aka	ADV
easat-1097	19	14	.	.	PUNCT
easat-1097	20	1	the	the	DET
easat-1097	20	2	greenhouse	greenhouse	NOUN
easat-1097	20	3	effect	effect	NOUN
easat-1097	20	4	is	be	AUX
easat-1097	20	5	where	where	SCONJ
easat-1097	20	6	infrared	infrared	ADJ
easat-1097	20	7	radiation	radiation	NOUN
easat-1097	20	8	is	be	AUX
easat-1097	20	9	trapped	trap	VERB
easat-1097	20	10	by	by	ADP
easat-1097	20	11	certain	certain	ADJ
easat-1097	20	12	gases	gas	NOUN
easat-1097	20	13	in	in	ADP
easat-1097	20	14	the	the	DET
easat-1097	20	15	earth	earth	NOUN
easat-1097	20	16	's	's	PART
easat-1097	20	17	atmosphere	atmosphere	NOUN
easat-1097	20	18	leading	lead	VERB
easat-1097	20	19	to	to	ADP
easat-1097	20	20	warming	warm	VERB
easat-1097	20	21	.	.	PUNCT
easat-1097	21	1	this	this	DET
easat-1097	21	2	process	process	NOUN
easat-1097	21	3	is	be	AUX
easat-1097	21	4	essential	essential	ADJ
easat-1097	21	5	for	for	ADP
easat-1097	21	6	maintaining	maintain	VERB
easat-1097	21	7	earth	earth	NOUN
easat-1097	21	8	's	's	PART
easat-1097	21	9	temperature	temperature	NOUN
easat-1097	21	10	but	but	CCONJ
easat-1097	21	11	human	human	ADJ
easat-1097	21	12	activities	activity	NOUN
easat-1097	21	13	have	have	AUX
easat-1097	21	14	intensified	intensify	VERB
easat-1097	21	15	the	the	DET
easat-1097	21	16	greenhouse	greenhouse	NOUN
easat-1097	21	17	effect	effect	NOUN
easat-1097	21	18	leading	lead	VERB
easat-1097	21	19	to	to	ADP
easat-1097	21	20	concerns	concern	NOUN
easat-1097	21	21	about	about	ADP
easat-1097	21	22	climate	climate	NOUN
easat-1097	21	23	change	change	NOUN
easat-1097	21	24	.	.	PUNCT
easat-1097	22	1	greenhouse	greenhouse	NOUN
easat-1097	22	2	gases	gas	NOUN
easat-1097	22	3	already	already	ADV
easat-1097	22	4	exist	exist	VERB
easat-1097	22	5	in	in	ADP
easat-1097	22	6	the	the	DET
easat-1097	22	7	atmosphere	atmosphere	NOUN
easat-1097	22	8	and	and	CCONJ
easat-1097	22	9	inevitably	inevitably	ADV
easat-1097	22	10	delaying	delay	VERB
easat-1097	22	11	or	or	CCONJ
easat-1097	22	12	preventing	prevent	VERB
easat-1097	22	13	some	some	DET
easat-1097	22	14	residual	residual	ADJ
easat-1097	22	15	heat	heat	NOUN
easat-1097	22	16	from	from	ADP
easat-1097	22	17	entering	enter	VERB
easat-1097	22	18	space	space	NOUN
easat-1097	22	19	.	.	PUNCT
easat-1097	23	1	the	the	DET
easat-1097	23	2	main	main	ADJ
easat-1097	23	3	reason	reason	NOUN
easat-1097	23	4	for	for	ADP
easat-1097	23	5	the	the	DET
easat-1097	23	6	unexpected	unexpected	ADJ
easat-1097	23	7	rise	rise	NOUN
easat-1097	23	8	in	in	ADP
easat-1097	23	9	global	global	ADJ
easat-1097	23	10	warming	warming	NOUN
easat-1097	23	11	is	be	AUX
easat-1097	23	12	this	this	DET
easat-1097	23	13	mechanism	mechanism	NOUN
easat-1097	23	14	which	which	PRON
easat-1097	23	15	unintentionally	unintentionally	ADV
easat-1097	23	16	acts	act	VERB
easat-1097	23	17	as	as	ADP
easat-1097	23	18	an	an	DET
easat-1097	23	19	internal	internal	ADJ
easat-1097	23	20	barrier	barrier	NOUN
easat-1097	23	21	preventing	prevent	VERB
easat-1097	23	22	emission	emission	NOUN
easat-1097	23	23	from	from	ADP
easat-1097	23	24	going	go	VERB
easat-1097	23	25	back	back	ADV
easat-1097	23	26	into	into	ADP
easat-1097	23	27	space	space	NOUN
easat-1097	23	28	.	.	PUNCT
easat-1097	24	1	the	the	DET
easat-1097	24	2	greenhouse	greenhouse	NOUN
easat-1097	24	3	effect	effect	NOUN
easat-1097	24	4	is	be	AUX
easat-1097	24	5	generally	generally	ADV
easat-1097	24	6	natural	natural	ADJ
easat-1097	24	7	and	and	CCONJ
easat-1097	24	8	fairly	fairly	ADV
easat-1097	24	9	essential	essential	ADJ
easat-1097	24	10	to	to	ADP
easat-1097	24	11	supporting	support	VERB
easat-1097	24	12	life	life	NOUN
easat-1097	24	13	.	.	PUNCT
easat-1097	25	1	nevertheless	nevertheless	ADV
easat-1097	25	2	,	,	PUNCT
easat-1097	25	3	their	their	PRON
easat-1097	25	4	recent	recent	ADJ
easat-1097	25	5	accumulation	accumulation	NOUN
easat-1097	25	6	of	of	ADP
easat-1097	25	7	greenhouse	greenhouse	NOUN
easat-1097	25	8	mailto:chongrag.bo@kmitl.ac.th	mailto:chongrag.bo@kmitl.ac.th	PROPN
easat-1097	25	9	https://orcid.org/0000-0003-2796-0514	https://orcid.org/0000-0003-2796-0514	VERB
easat-1097	25	10	https://orcid.org/0000-0003-0844-8638	https://orcid.org/0000-0003-0844-8638	NOUN
easat-1097	25	11	https://orcid.org/0000-0001-9995-9657	https://orcid.org/0000-0001-9995-9657	PROPN
easat-1097	25	12	2	2	NUM
easat-1097	25	13	edelweiss	edelweiss	PROPN
easat-1097	25	14	applied	apply	VERB
easat-1097	25	15	science	science	NOUN
easat-1097	25	16	and	and	CCONJ
easat-1097	25	17	technology	technology	NOUN
easat-1097	25	18	issn	issn	PROPN
easat-1097	25	19	:	:	PUNCT
easat-1097	25	20	2576	2576	NUM
easat-1097	25	21	-	-	SYM
easat-1097	25	22	8484	8484	NUM
easat-1097	25	23	vol	vol	NOUN
easat-1097	25	24	.	.	PROPN
easat-1097	25	25	8	8	NUM
easat-1097	25	26	,	,	PUNCT
easat-1097	25	27	no	no	INTJ
easat-1097	25	28	.	.	NOUN
easat-1097	26	1	4	4	NUM
easat-1097	26	2	:	:	SYM
easat-1097	26	3	1	1	NUM
easat-1097	26	4	-	-	SYM
easat-1097	26	5	11	11	NUM
easat-1097	26	6	,	,	PUNCT
easat-1097	26	7	2024	2024	NUM
easat-1097	26	8	doi	doi	NOUN
easat-1097	26	9	:	:	PUNCT
easat-1097	26	10	10.55214/25768484.v8i4.1097	10.55214/25768484.v8i4.1097	NUM
easat-1097	26	11	©	©	NOUN
easat-1097	26	12	2024	2024	NUM
easat-1097	26	13	by	by	ADP
easat-1097	26	14	the	the	DET
easat-1097	26	15	authors	author	NOUN
easat-1097	26	16	;	;	PUNCT
easat-1097	26	17	licensee	licensee	PROPN
easat-1097	26	18	learning	learn	VERB
easat-1097	26	19	gate	gate	NOUN
easat-1097	26	20	gases	gas	NOUN
easat-1097	26	21	has	have	AUX
easat-1097	26	22	already	already	ADV
easat-1097	26	23	altered	alter	VERB
easat-1097	26	24	the	the	DET
easat-1097	26	25	earth	earth	NOUN
easat-1097	26	26	’s	’s	PART
easat-1097	26	27	climate	climate	NOUN
easat-1097	26	28	attributing	attribute	VERB
easat-1097	26	29	dangerously	dangerously	ADV
easat-1097	26	30	to	to	ADP
easat-1097	26	31	the	the	DET
easat-1097	26	32	well	well	ADV
easat-1097	26	33	-	-	PUNCT
easat-1097	26	34	being	being	NOUN
easat-1097	26	35	of	of	ADP
easat-1097	26	36	humans	human	NOUN
easat-1097	26	37	and	and	CCONJ
easat-1097	26	38	also	also	ADV
easat-1097	26	39	to	to	ADP
easat-1097	26	40	ecosystems	ecosystem	NOUN
easat-1097	26	41	[	[	X
easat-1097	26	42	1	1	NUM
easat-1097	26	43	]	]	PUNCT
easat-1097	26	44	.	.	PUNCT
easat-1097	27	1	according	accord	VERB
easat-1097	27	2	to	to	ADP
easat-1097	27	3	the	the	DET
easat-1097	27	4	world	world	NOUN
easat-1097	27	5	meteorological	meteorological	ADJ
easat-1097	27	6	organization	organization	NOUN
easat-1097	27	7	(	(	PUNCT
easat-1097	27	8	wmo	wmo	PROPN
easat-1097	27	9	)	)	PUNCT
easat-1097	27	10	,	,	PUNCT
easat-1097	27	11	the	the	DET
easat-1097	27	12	primary	primary	ADJ
easat-1097	27	13	greenhouse	greenhouse	NOUN
easat-1097	27	14	gases	gas	NOUN
easat-1097	27	15	being	be	AUX
easat-1097	27	16	observed	observe	VERB
easat-1097	27	17	,	,	PUNCT
easat-1097	27	18	analyzed	analyze	VERB
easat-1097	27	19	and	and	CCONJ
easat-1097	27	20	reported	report	VERB
easat-1097	27	21	are	be	AUX
easat-1097	27	22	carbon	carbon	NOUN
easat-1097	27	23	oxide	oxide	NOUN
easat-1097	27	24	(	(	PUNCT
easat-1097	27	25	co2	co2	NOUN
easat-1097	27	26	)	)	PUNCT
easat-1097	27	27	,	,	PUNCT
easat-1097	27	28	methane	methane	NOUN
easat-1097	27	29	,	,	PUNCT
easat-1097	27	30	nitrogen	nitrogen	NOUN
easat-1097	27	31	oxide	oxide	NOUN
easat-1097	27	32	,	,	PUNCT
easat-1097	27	33	halocarbon	halocarbon	PROPN
easat-1097	27	34	and	and	CCONJ
easat-1097	27	35	hydrogen	hydrogen	NOUN
easat-1097	27	36	[	[	X
easat-1097	27	37	2	2	NUM
easat-1097	27	38	]	]	PUNCT
easat-1097	27	39	.	.	PUNCT
easat-1097	28	1	these	these	DET
easat-1097	28	2	gases	gas	NOUN
easat-1097	28	3	are	be	AUX
easat-1097	28	4	either	either	ADV
easat-1097	28	5	released	release	VERB
easat-1097	28	6	naturally	naturally	ADV
easat-1097	28	7	or	or	CCONJ
easat-1097	28	8	emitted	emit	VERB
easat-1097	28	9	as	as	ADP
easat-1097	28	10	part	part	NOUN
easat-1097	28	11	of	of	ADP
easat-1097	28	12	human	human	ADJ
easat-1097	28	13	activities	activity	NOUN
easat-1097	28	14	.	.	PUNCT
easat-1097	29	1	the	the	DET
easat-1097	29	2	former	former	ADJ
easat-1097	29	3	involves	involve	VERB
easat-1097	29	4	decomposition	decomposition	NOUN
easat-1097	29	5	,	,	PUNCT
easat-1097	29	6	respiration	respiration	NOUN
easat-1097	29	7	and	and	CCONJ
easat-1097	29	8	the	the	DET
easat-1097	29	9	latter	latter	ADJ
easat-1097	29	10	includes	include	VERB
easat-1097	29	11	but	but	CCONJ
easat-1097	29	12	is	be	AUX
easat-1097	29	13	not	not	PART
easat-1097	29	14	limited	limit	VERB
easat-1097	29	15	to	to	ADP
easat-1097	29	16	the	the	DET
easat-1097	29	17	burning	burning	NOUN
easat-1097	29	18	of	of	ADP
easat-1097	29	19	fossil	fossil	ADJ
easat-1097	29	20	fuels	fuel	NOUN
easat-1097	29	21	,	,	PUNCT
easat-1097	29	22	industrial	industrial	ADJ
easat-1097	29	23	production	production	NOUN
easat-1097	29	24	,	,	PUNCT
easat-1097	29	25	crop	crop	NOUN
easat-1097	29	26	plantations	plantation	NOUN
easat-1097	29	27	or	or	CCONJ
easat-1097	29	28	raising	raise	VERB
easat-1097	29	29	livestock	livestock	NOUN
easat-1097	29	30	.	.	PUNCT
easat-1097	30	1	co2	co2	NOUN
easat-1097	30	2	plays	play	VERB
easat-1097	30	3	a	a	DET
easat-1097	30	4	significant	significant	ADJ
easat-1097	30	5	and	and	CCONJ
easat-1097	30	6	critical	critical	ADJ
easat-1097	30	7	role	role	NOUN
easat-1097	30	8	in	in	ADP
easat-1097	30	9	the	the	DET
easat-1097	30	10	discern	discern	NOUN
easat-1097	30	11	of	of	ADP
easat-1097	30	12	global	global	ADJ
easat-1097	30	13	warming	warming	NOUN
easat-1097	30	14	particularly	particularly	ADV
easat-1097	30	15	the	the	DET
easat-1097	30	16	marked	marked	ADJ
easat-1097	30	17	change	change	NOUN
easat-1097	30	18	in	in	ADP
easat-1097	30	19	its	its	PRON
easat-1097	30	20	level	level	NOUN
easat-1097	30	21	within	within	ADP
easat-1097	30	22	a	a	DET
easat-1097	30	23	short	short	ADJ
easat-1097	30	24	time	time	NOUN
easat-1097	30	25	concerning	concern	VERB
easat-1097	30	26	its	its	PRON
easat-1097	30	27	so	so	ADV
easat-1097	30	28	-	-	PUNCT
easat-1097	30	29	called	call	VERB
easat-1097	30	30	carbon	carbon	NOUN
easat-1097	30	31	cycle	cycle	NOUN
easat-1097	30	32	resulting	result	VERB
easat-1097	30	33	in	in	ADP
easat-1097	30	34	the	the	DET
easat-1097	30	35	impact	impact	NOUN
easat-1097	30	36	as	as	SCONJ
easat-1097	30	37	already	already	ADV
easat-1097	30	38	witnessed	witness	VERB
easat-1097	30	39	,	,	PUNCT
easat-1097	30	40	of	of	ADP
easat-1097	30	41	rising	rise	VERB
easat-1097	30	42	annual	annual	ADJ
easat-1097	30	43	global	global	ADJ
easat-1097	30	44	temperature	temperature	NOUN
easat-1097	30	45	as	as	ADP
easat-1097	30	46	the	the	DET
easat-1097	30	47	major	major	ADJ
easat-1097	30	48	contributing	contribute	VERB
easat-1097	30	49	factor	factor	NOUN
easat-1097	30	50	to	to	PART
easat-1097	30	51	climate	climate	NOUN
easat-1097	30	52	change	change	NOUN
easat-1097	30	53	[	[	X
easat-1097	30	54	3	3	NUM
easat-1097	30	55	]	]	PUNCT
easat-1097	30	56	.	.	PUNCT
easat-1097	31	1	this	this	DET
easat-1097	31	2	change	change	NOUN
easat-1097	31	3	does	do	AUX
easat-1097	31	4	not	not	PART
easat-1097	31	5	happen	happen	VERB
easat-1097	31	6	in	in	ADP
easat-1097	31	7	isolation	isolation	NOUN
easat-1097	31	8	but	but	CCONJ
easat-1097	31	9	is	be	AUX
easat-1097	31	10	related	relate	VERB
easat-1097	31	11	to	to	ADP
easat-1097	31	12	others	other	NOUN
easat-1097	31	13	which	which	PRON
easat-1097	31	14	collectively	collectively	ADV
easat-1097	31	15	accelerate	accelerate	VERB
easat-1097	31	16	and	and	CCONJ
easat-1097	31	17	exacerbate	exacerbate	VERB
easat-1097	31	18	the	the	DET
easat-1097	31	19	planet	planet	NOUN
easat-1097	31	20	’s	’s	PART
easat-1097	31	21	overall	overall	ADJ
easat-1097	31	22	climate	climate	NOUN
easat-1097	31	23	at	at	ADP
easat-1097	31	24	present	present	ADJ
easat-1097	31	25	.	.	PUNCT
easat-1097	32	1	the	the	DET
easat-1097	32	2	altered	altered	ADJ
easat-1097	32	3	climate	climate	NOUN
easat-1097	32	4	phenomenon	phenomenon	NOUN
easat-1097	32	5	from	from	ADP
easat-1097	32	6	the	the	DET
easat-1097	32	7	past	past	NOUN
easat-1097	32	8	and	and	CCONJ
easat-1097	32	9	present	present	ADJ
easat-1097	32	10	is	be	AUX
easat-1097	32	11	considered	consider	VERB
easat-1097	32	12	climate	climate	NOUN
easat-1097	32	13	change	change	NOUN
easat-1097	32	14	.	.	PUNCT
easat-1097	33	1	according	accord	VERB
easat-1097	33	2	to	to	ADP
easat-1097	33	3	canada	canada	PROPN
easat-1097	33	4	[	[	X
easat-1097	33	5	4	4	NUM
easat-1097	33	6	]	]	ADJ
easat-1097	33	7	climate	climate	NOUN
easat-1097	33	8	change	change	NOUN
easat-1097	33	9	is	be	AUX
easat-1097	33	10	due	due	ADJ
easat-1097	33	11	to	to	ADP
easat-1097	33	12	a	a	DET
easat-1097	33	13	long	long	ADJ
easat-1097	33	14	-	-	PUNCT
easat-1097	33	15	term	term	NOUN
easat-1097	33	16	shift	shift	NOUN
easat-1097	33	17	in	in	ADP
easat-1097	33	18	the	the	DET
easat-1097	33	19	average	average	ADJ
easat-1097	33	20	weather	weather	NOUN
easat-1097	33	21	conditions	condition	NOUN
easat-1097	33	22	of	of	ADP
easat-1097	33	23	a	a	DET
easat-1097	33	24	region	region	NOUN
easat-1097	33	25	such	such	ADJ
easat-1097	33	26	as	as	ADP
easat-1097	33	27	its	its	PRON
easat-1097	33	28	typical	typical	ADJ
easat-1097	33	29	temperature	temperature	NOUN
easat-1097	33	30	,	,	PUNCT
easat-1097	33	31	rainfall	rainfall	NOUN
easat-1097	33	32	and	and	CCONJ
easat-1097	33	33	windiness	windiness	NOUN
easat-1097	33	34	meaning	mean	VERB
easat-1097	33	35	that	that	SCONJ
easat-1097	33	36	the	the	DET
easat-1097	33	37	range	range	NOUN
easat-1097	33	38	of	of	ADP
easat-1097	33	39	conditions	condition	NOUN
easat-1097	33	40	expected	expect	VERB
easat-1097	33	41	in	in	ADP
easat-1097	33	42	many	many	ADJ
easat-1097	33	43	regions	region	NOUN
easat-1097	33	44	will	will	AUX
easat-1097	33	45	change	change	VERB
easat-1097	33	46	over	over	ADP
easat-1097	33	47	the	the	DET
easat-1097	33	48	coming	come	VERB
easat-1097	33	49	decades	decade	NOUN
easat-1097	33	50	implying	imply	VERB
easat-1097	33	51	that	that	SCONJ
easat-1097	33	52	there	there	PRON
easat-1097	33	53	will	will	AUX
easat-1097	33	54	be	be	AUX
easat-1097	33	55	changes	change	NOUN
easat-1097	33	56	in	in	ADP
easat-1097	33	57	extreme	extreme	ADJ
easat-1097	33	58	conditions	condition	NOUN
easat-1097	33	59	.	.	PUNCT
easat-1097	34	1	machine	machine	NOUN
easat-1097	34	2	learning	learning	NOUN
easat-1097	34	3	plays	play	VERB
easat-1097	34	4	an	an	DET
easat-1097	34	5	important	important	ADJ
easat-1097	34	6	role	role	NOUN
easat-1097	34	7	in	in	ADP
easat-1097	34	8	reducing	reduce	VERB
easat-1097	34	9	co2	co2	NOUN
easat-1097	34	10	emissions	emission	NOUN
easat-1097	34	11	by	by	ADP
easat-1097	34	12	identifying	identify	VERB
easat-1097	34	13	areas	area	NOUN
easat-1097	34	14	where	where	SCONJ
easat-1097	34	15	emissions	emission	NOUN
easat-1097	34	16	can	can	AUX
easat-1097	34	17	be	be	AUX
easat-1097	34	18	reduced	reduce	VERB
easat-1097	34	19	or	or	CCONJ
easat-1097	34	20	avoided	avoid	VERB
easat-1097	34	21	,	,	PUNCT
easat-1097	34	22	optimizing	optimize	VERB
easat-1097	34	23	energy	energy	NOUN
easat-1097	34	24	systems	system	NOUN
easat-1097	34	25	and	and	CCONJ
easat-1097	34	26	improving	improve	VERB
easat-1097	34	27	the	the	DET
easat-1097	34	28	accuracy	accuracy	NOUN
easat-1097	34	29	of	of	ADP
easat-1097	34	30	emissions	emission	NOUN
easat-1097	34	31	measurements	measurement	NOUN
easat-1097	34	32	.	.	PUNCT
easat-1097	35	1	for	for	ADP
easat-1097	35	2	example	example	NOUN
easat-1097	35	3	,	,	PUNCT
easat-1097	35	4	machine	machine	NOUN
easat-1097	35	5	learning	learning	NOUN
easat-1097	35	6	algorithms	algorithm	NOUN
easat-1097	35	7	can	can	AUX
easat-1097	35	8	be	be	AUX
easat-1097	35	9	used	use	VERB
easat-1097	35	10	to	to	PART
easat-1097	35	11	analyse	analyse	VERB
easat-1097	35	12	satellite	satellite	NOUN
easat-1097	35	13	data	datum	NOUN
easat-1097	35	14	to	to	PART
easat-1097	35	15	track	track	VERB
easat-1097	35	16	land	land	NOUN
easat-1097	35	17	use	use	NOUN
easat-1097	35	18	changes	change	NOUN
easat-1097	35	19	and	and	CCONJ
easat-1097	35	20	identify	identify	VERB
easat-1097	35	21	areas	area	NOUN
easat-1097	35	22	where	where	SCONJ
easat-1097	35	23	deforestation	deforestation	NOUN
easat-1097	35	24	is	be	AUX
easat-1097	35	25	occurring	occur	VERB
easat-1097	35	26	which	which	PRON
easat-1097	35	27	can	can	AUX
easat-1097	35	28	be	be	AUX
easat-1097	35	29	a	a	DET
easat-1097	35	30	significant	significant	ADJ
easat-1097	35	31	source	source	NOUN
easat-1097	35	32	of	of	ADP
easat-1097	35	33	co2	co2	NOUN
easat-1097	35	34	emissions	emission	NOUN
easat-1097	35	35	.	.	PUNCT
easat-1097	36	1	by	by	ADP
easat-1097	36	2	analyzing	analyze	VERB
easat-1097	36	3	this	this	DET
easat-1097	36	4	data	datum	NOUN
easat-1097	36	5	,	,	PUNCT
easat-1097	36	6	policymakers	policymaker	NOUN
easat-1097	36	7	and	and	CCONJ
easat-1097	36	8	companies	company	NOUN
easat-1097	36	9	can	can	AUX
easat-1097	36	10	make	make	VERB
easat-1097	36	11	more	more	ADV
easat-1097	36	12	informed	informed	ADJ
easat-1097	36	13	decisions	decision	NOUN
easat-1097	36	14	about	about	ADP
easat-1097	36	15	where	where	SCONJ
easat-1097	36	16	to	to	PART
easat-1097	36	17	focus	focus	VERB
easat-1097	36	18	their	their	PRON
easat-1097	36	19	efforts	effort	NOUN
easat-1097	36	20	to	to	PART
easat-1097	36	21	reduce	reduce	VERB
easat-1097	36	22	emissions	emission	NOUN
easat-1097	36	23	.	.	PUNCT
easat-1097	37	1	in	in	ADP
easat-1097	37	2	this	this	DET
easat-1097	37	3	paper	paper	NOUN
easat-1097	37	4	,	,	PUNCT
easat-1097	37	5	we	we	PRON
easat-1097	37	6	propose	propose	VERB
easat-1097	37	7	a	a	DET
easat-1097	37	8	carbon	carbon	NOUN
easat-1097	37	9	dioxide	dioxide	NOUN
easat-1097	37	10	emissions	emission	NOUN
easat-1097	37	11	prediction	prediction	NOUN
easat-1097	37	12	model	model	NOUN
easat-1097	37	13	based	base	VERB
easat-1097	37	14	on	on	ADP
easat-1097	37	15	machine	machine	NOUN
easat-1097	37	16	learning	learn	VERB
easat-1097	37	17	techniques	technique	NOUN
easat-1097	37	18	.	.	PUNCT
easat-1097	38	1	this	this	DET
easat-1097	38	2	paper	paper	NOUN
easat-1097	38	3	is	be	AUX
easat-1097	38	4	structured	structure	VERB
easat-1097	38	5	and	and	CCONJ
easat-1097	38	6	organized	organize	VERB
easat-1097	38	7	as	as	SCONJ
easat-1097	38	8	follows	follow	VERB
easat-1097	38	9	:	:	PUNCT
easat-1097	38	10	a	a	DET
easat-1097	38	11	background	background	NOUN
easat-1097	38	12	introduction	introduction	NOUN
easat-1097	38	13	is	be	AUX
easat-1097	38	14	presented	present	VERB
easat-1097	38	15	in	in	ADP
easat-1097	38	16	this	this	DET
easat-1097	38	17	section	section	NOUN
easat-1097	38	18	.	.	PUNCT
easat-1097	39	1	section	section	NOUN
easat-1097	39	2	1	1	NUM
easat-1097	39	3	is	be	AUX
easat-1097	39	4	followed	follow	VERB
easat-1097	39	5	by	by	ADP
easat-1097	39	6	section	section	NOUN
easat-1097	39	7	2	2	NUM
easat-1097	39	8	on	on	ADP
easat-1097	39	9	the	the	DET
easat-1097	39	10	related	relate	VERB
easat-1097	39	11	works	work	NOUN
easat-1097	39	12	.	.	PUNCT
easat-1097	40	1	sections	section	NOUN
easat-1097	40	2	3	3	NUM
easat-1097	40	3	and	and	CCONJ
easat-1097	40	4	4	4	NUM
easat-1097	40	5	describe	describe	VERB
easat-1097	40	6	the	the	DET
easat-1097	40	7	system	system	NOUN
easat-1097	40	8	framework	framework	NOUN
easat-1097	40	9	and	and	CCONJ
easat-1097	40	10	methods	method	NOUN
easat-1097	40	11	employed	employ	VERB
easat-1097	40	12	along	along	ADP
easat-1097	40	13	with	with	ADP
easat-1097	40	14	the	the	DET
easat-1097	40	15	corresponding	corresponding	ADJ
easat-1097	40	16	results	result	NOUN
easat-1097	40	17	.	.	PUNCT
easat-1097	41	1	section	section	NOUN
easat-1097	41	2	5	5	NUM
easat-1097	41	3	is	be	AUX
easat-1097	41	4	the	the	DET
easat-1097	41	5	last	last	ADJ
easat-1097	41	6	section	section	NOUN
easat-1097	41	7	that	that	PRON
easat-1097	41	8	concludes	conclude	VERB
easat-1097	41	9	the	the	DET
easat-1097	41	10	paper	paper	NOUN
easat-1097	41	11	.	.	PUNCT
easat-1097	42	1	2	2	X
easat-1097	42	2	.	.	X
easat-1097	42	3	literature	literature	NOUN
easat-1097	42	4	review	review	VERB
easat-1097	42	5	several	several	ADJ
easat-1097	42	6	investigations	investigation	NOUN
easat-1097	42	7	have	have	AUX
easat-1097	42	8	been	be	AUX
easat-1097	42	9	carried	carry	VERB
easat-1097	42	10	out	out	ADP
easat-1097	42	11	to	to	PART
easat-1097	42	12	track	track	VERB
easat-1097	42	13	the	the	DET
easat-1097	42	14	problems	problem	NOUN
easat-1097	42	15	with	with	ADP
easat-1097	42	16	co2	co2	NOUN
easat-1097	42	17	emissions	emission	NOUN
easat-1097	42	18	yuan	yuan	NOUN
easat-1097	42	19	,	,	PUNCT
easat-1097	42	20	et	et	PROPN
easat-1097	42	21	al	al	PROPN
easat-1097	42	22	.	.	PUNCT
easat-1097	43	1	[	[	X
easat-1097	43	2	5	5	NUM
easat-1097	43	3	]	]	PUNCT
easat-1097	43	4	,	,	PUNCT
easat-1097	43	5	liu	liu	PROPN
easat-1097	43	6	and	and	CCONJ
easat-1097	43	7	hao	hao	PROPN
easat-1097	44	1	[	[	X
easat-1097	44	2	6	6	NUM
easat-1097	44	3	]	]	PUNCT
easat-1097	44	4	,	,	PUNCT
easat-1097	44	5	munir	munir	PROPN
easat-1097	44	6	,	,	PUNCT
easat-1097	44	7	et	et	PROPN
easat-1097	44	8	al	al	PROPN
easat-1097	44	9	.	.	PUNCT
easat-1097	45	1	[	[	X
easat-1097	45	2	7	7	NUM
easat-1097	45	3	]	]	PUNCT
easat-1097	45	4	and	and	CCONJ
easat-1097	45	5	luccioni	luccioni	PROPN
easat-1097	45	6	,	,	PUNCT
easat-1097	45	7	et	et	PROPN
easat-1097	45	8	al	al	PROPN
easat-1097	45	9	.	.	PUNCT
easat-1097	46	1	[	[	X
easat-1097	46	2	8	8	NUM
easat-1097	46	3	]	]	SYM
easat-1097	46	4	.	.	PUNCT
easat-1097	46	5	masini	masini	PROPN
easat-1097	46	6	,	,	PUNCT
easat-1097	46	7	et	et	PROPN
easat-1097	46	8	al	al	PROPN
easat-1097	46	9	.	.	PUNCT
easat-1097	47	1	[	[	X
easat-1097	47	2	9	9	NUM
easat-1097	47	3	]	]	SYM
easat-1097	47	4	state	state	NOUN
easat-1097	47	5	that	that	SCONJ
easat-1097	47	6	high	high	ADJ
easat-1097	47	7	dimensional	dimensional	ADJ
easat-1097	47	8	models	model	NOUN
easat-1097	47	9	and	and	CCONJ
easat-1097	47	10	supervised	supervise	VERB
easat-1097	47	11	machine	machine	NOUN
easat-1097	47	12	learning	learning	NOUN
easat-1097	47	13	(	(	PUNCT
easat-1097	47	14	ml	ml	NOUN
easat-1097	47	15	)	)	PUNCT
easat-1097	47	16	are	be	AUX
easat-1097	47	17	taken	take	VERB
easat-1097	47	18	into	into	ADP
easat-1097	47	19	consideration	consideration	NOUN
easat-1097	47	20	for	for	ADP
easat-1097	47	21	time	time	NOUN
easat-1097	47	22	series	series	NOUN
easat-1097	47	23	in	in	ADP
easat-1097	47	24	predicting	predict	VERB
easat-1097	47	25	and	and	CCONJ
easat-1097	47	26	mixing	mix	VERB
easat-1097	47	27	ensemble	ensemble	ADJ
easat-1097	47	28	and	and	CCONJ
easat-1097	47	29	hybrid	hybrid	ADJ
easat-1097	47	30	model	model	NOUN
easat-1097	47	31	elements	element	NOUN
easat-1097	47	32	from	from	ADP
easat-1097	47	33	several	several	ADJ
easat-1097	47	34	options	option	NOUN
easat-1097	47	35	.	.	PUNCT
easat-1097	48	1	the	the	DET
easat-1097	48	2	svm	svm	PROPN
easat-1097	48	3	model	model	NOUN
easat-1097	48	4	was	be	AUX
easat-1097	48	5	proposed	propose	VERB
easat-1097	48	6	[	[	X
easat-1097	48	7	10	10	NUM
easat-1097	48	8	]	]	PUNCT
easat-1097	48	9	and	and	CCONJ
easat-1097	48	10	the	the	DET
easat-1097	48	11	model	model	NOUN
easat-1097	48	12	's	's	PART
easat-1097	48	13	evaluation	evaluation	NOUN
easat-1097	48	14	was	be	AUX
easat-1097	48	15	conducted	conduct	VERB
easat-1097	48	16	using	use	VERB
easat-1097	48	17	the	the	DET
easat-1097	48	18	rmse	rmse	NOUN
easat-1097	48	19	to	to	PART
easat-1097	48	20	estimate	estimate	VERB
easat-1097	48	21	carbon	carbon	NOUN
easat-1097	48	22	dioxide	dioxide	NOUN
easat-1097	48	23	(	(	PUNCT
easat-1097	48	24	co2	co2	NOUN
easat-1097	48	25	)	)	PUNCT
easat-1097	48	26	emissions	emission	NOUN
easat-1097	48	27	from	from	ADP
easat-1097	48	28	energy	energy	NOUN
easat-1097	48	29	consumption	consumption	NOUN
easat-1097	48	30	.	.	PUNCT
easat-1097	49	1	co2	co2	NOUN
easat-1097	49	2	emissions	emission	NOUN
easat-1097	49	3	were	be	AUX
easat-1097	49	4	calculated	calculate	VERB
easat-1097	49	5	using	use	VERB
easat-1097	49	6	a	a	DET
easat-1097	49	7	linear	linear	ADJ
easat-1097	49	8	model	model	NOUN
easat-1097	49	9	(	(	PUNCT
easat-1097	49	10	lm	lm	INTJ
easat-1097	49	11	)	)	PUNCT
easat-1097	49	12	and	and	CCONJ
easat-1097	49	13	support	support	VERB
easat-1097	49	14	vector	vector	NOUN
easat-1097	49	15	machines	machine	NOUN
easat-1097	49	16	in	in	ADP
easat-1097	49	17	the	the	DET
easat-1097	49	18	framework	framework	NOUN
easat-1097	49	19	of	of	ADP
easat-1097	49	20	the	the	DET
easat-1097	49	21	cost	cost	NOUN
easat-1097	49	22	-	-	PUNCT
easat-1097	49	23	effectiveness	effectiveness	NOUN
easat-1097	49	24	analysis	analysis	NOUN
easat-1097	49	25	[	[	X
easat-1097	49	26	11	11	NUM
easat-1097	49	27	]	]	PUNCT
easat-1097	49	28	.	.	PUNCT
easat-1097	50	1	decision	decision	NOUN
easat-1097	50	2	tree	tree	NOUN
easat-1097	50	3	machine	machine	NOUN
easat-1097	50	4	learning	learning	NOUN
easat-1097	50	5	models	model	NOUN
easat-1097	50	6	are	be	AUX
easat-1097	50	7	used	use	VERB
easat-1097	50	8	recursively	recursively	ADV
easat-1097	50	9	to	to	PART
easat-1097	50	10	split	split	VERB
easat-1097	50	11	data	datum	NOUN
easat-1097	50	12	that	that	PRON
easat-1097	50	13	minimizes	minimize	VERB
easat-1097	50	14	the	the	DET
easat-1097	50	15	residual	residual	ADJ
easat-1097	50	16	sum	sum	NOUN
easat-1097	50	17	of	of	ADP
easat-1097	50	18	squares	square	NOUN
easat-1097	50	19	and	and	CCONJ
easat-1097	50	20	random	random	ADJ
easat-1097	50	21	forest	forest	NOUN
easat-1097	50	22	techniques	technique	NOUN
easat-1097	50	23	have	have	AUX
easat-1097	50	24	been	be	AUX
easat-1097	50	25	used	use	VERB
easat-1097	50	26	in	in	ADP
easat-1097	50	27	the	the	DET
easat-1097	50	28	past	past	NOUN
easat-1097	50	29	to	to	PART
easat-1097	50	30	investigate	investigate	VERB
easat-1097	50	31	carbon	carbon	NOUN
easat-1097	50	32	sinks	sink	NOUN
easat-1097	50	33	in	in	ADP
easat-1097	50	34	soils	soil	NOUN
easat-1097	50	35	and	and	CCONJ
easat-1097	50	36	forests	forest	NOUN
easat-1097	51	1	[	[	X
easat-1097	51	2	12	12	NUM
easat-1097	51	3	,	,	PUNCT
easat-1097	51	4	13	13	NUM
easat-1097	51	5	]	]	PUNCT
easat-1097	51	6	.	.	PUNCT
easat-1097	52	1	the	the	DET
easat-1097	52	2	goal	goal	NOUN
easat-1097	52	3	of	of	ADP
easat-1097	52	4	energy	energy	NOUN
easat-1097	52	5	resources	resource	NOUN
easat-1097	52	6	and	and	CCONJ
easat-1097	52	7	economic	economic	ADJ
easat-1097	52	8	development	development	NOUN
easat-1097	52	9	is	be	AUX
easat-1097	52	10	to	to	PART
easat-1097	52	11	create	create	VERB
easat-1097	52	12	and	and	CCONJ
easat-1097	52	13	implement	implement	VERB
easat-1097	52	14	a	a	DET
easat-1097	52	15	machine	machine	NOUN
easat-1097	52	16	learning	learn	VERB
easat-1097	52	17	approach	approach	NOUN
easat-1097	52	18	that	that	PRON
easat-1097	52	19	will	will	AUX
easat-1097	52	20	increase	increase	VERB
easat-1097	52	21	the	the	DET
easat-1097	52	22	predictive	predictive	ADJ
easat-1097	52	23	accuracy	accuracy	NOUN
easat-1097	52	24	of	of	ADP
easat-1097	52	25	gdp	gdp	NOUN
easat-1097	52	26	predictions	prediction	NOUN
easat-1097	52	27	[	[	X
easat-1097	52	28	14	14	NUM
easat-1097	52	29	]	]	PUNCT
easat-1097	52	30	.	.	PUNCT
easat-1097	53	1	these	these	DET
easat-1097	53	2	assessments	assessment	NOUN
easat-1097	53	3	of	of	ADP
easat-1097	53	4	the	the	DET
easat-1097	53	5	literature	literature	NOUN
easat-1097	53	6	point	point	NOUN
easat-1097	53	7	to	to	ADP
easat-1097	53	8	the	the	DET
easat-1097	53	9	application	application	NOUN
easat-1097	53	10	of	of	ADP
easat-1097	53	11	machine	machine	NOUN
easat-1097	53	12	learning	learn	VERB
easat-1097	53	13	algorithms	algorithm	NOUN
easat-1097	53	14	as	as	ADP
easat-1097	53	15	a	a	DET
easat-1097	53	16	more	more	ADV
easat-1097	53	17	precise	precise	ADJ
easat-1097	53	18	algorithm	algorithm	NOUN
easat-1097	53	19	for	for	ADP
easat-1097	53	20	co2	co2	NOUN
easat-1097	53	21	emission	emission	NOUN
easat-1097	53	22	prediction	prediction	NOUN
easat-1097	53	23	.	.	PUNCT
easat-1097	54	1	nonetheless	nonetheless	ADV
easat-1097	54	2	,	,	PUNCT
easat-1097	54	3	the	the	DET
easat-1097	54	4	best	good	ADJ
easat-1097	54	5	approach	approach	NOUN
easat-1097	54	6	depends	depend	VERB
easat-1097	54	7	on	on	ADP
easat-1097	54	8	the	the	DET
easat-1097	54	9	particular	particular	ADJ
easat-1097	54	10	dataset	dataset	NOUN
easat-1097	54	11	and	and	CCONJ
easat-1097	54	12	problem	problem	NOUN
easat-1097	54	13	.	.	PUNCT
easat-1097	55	1	3	3	X
easat-1097	55	2	.	.	X
easat-1097	55	3	experimental	experimental	ADJ
easat-1097	55	4	setup	setup	NOUN
easat-1097	55	5	this	this	DET
easat-1097	55	6	section	section	NOUN
easat-1097	55	7	mainly	mainly	ADV
easat-1097	55	8	discusses	discuss	VERB
easat-1097	55	9	the	the	DET
easat-1097	55	10	data	datum	NOUN
easat-1097	55	11	processing	processing	NOUN
easat-1097	55	12	,	,	PUNCT
easat-1097	55	13	selected	select	VERB
easat-1097	55	14	models	model	NOUN
easat-1097	55	15	,	,	PUNCT
easat-1097	55	16	experiment	experiment	NOUN
easat-1097	55	17	framework	framework	NOUN
easat-1097	55	18	and	and	CCONJ
easat-1097	55	19	evaluation	evaluation	NOUN
easat-1097	55	20	metrics	metric	NOUN
easat-1097	55	21	used	use	VERB
easat-1097	55	22	in	in	ADP
easat-1097	55	23	the	the	DET
easat-1097	55	24	study	study	NOUN
easat-1097	55	25	.	.	PUNCT
easat-1097	56	1	3	3	NUM
easat-1097	56	2	edelweiss	edelweiss	PROPN
easat-1097	56	3	applied	apply	VERB
easat-1097	56	4	science	science	NOUN
easat-1097	56	5	and	and	CCONJ
easat-1097	56	6	technology	technology	NOUN
easat-1097	56	7	issn	issn	PROPN
easat-1097	56	8	:	:	PUNCT
easat-1097	56	9	2576	2576	NUM
easat-1097	56	10	-	-	SYM
easat-1097	56	11	8484	8484	NUM
easat-1097	56	12	vol	vol	NOUN
easat-1097	56	13	.	.	PROPN
easat-1097	56	14	8	8	NUM
easat-1097	56	15	,	,	PUNCT
easat-1097	56	16	no	no	INTJ
easat-1097	56	17	.	.	NOUN
easat-1097	57	1	4	4	NUM
easat-1097	57	2	:	:	SYM
easat-1097	57	3	1	1	NUM
easat-1097	57	4	-	-	SYM
easat-1097	57	5	11	11	NUM
easat-1097	57	6	,	,	PUNCT
easat-1097	57	7	2024	2024	NUM
easat-1097	57	8	doi	doi	NOUN
easat-1097	57	9	:	:	PUNCT
easat-1097	57	10	10.55214/25768484.v8i4.1097	10.55214/25768484.v8i4.1097	NUM
easat-1097	57	11	©	©	NOUN
easat-1097	57	12	2024	2024	NUM
easat-1097	57	13	by	by	ADP
easat-1097	57	14	the	the	DET
easat-1097	57	15	authors	author	NOUN
easat-1097	57	16	;	;	PUNCT
easat-1097	57	17	licensee	licensee	PROPN
easat-1097	57	18	learning	learning	NOUN
easat-1097	57	19	gate	gate	PROPN
easat-1097	57	20	3.1	3.1	NUM
easat-1097	57	21	.	.	PUNCT
easat-1097	58	1	materials	material	NOUN
easat-1097	58	2	and	and	CCONJ
easat-1097	58	3	data	datum	NOUN
easat-1097	58	4	processing	process	VERB
easat-1097	58	5	the	the	DET
easat-1097	58	6	research	research	NOUN
easat-1097	58	7	used	use	VERB
easat-1097	58	8	available	available	ADJ
easat-1097	58	9	annual	annual	ADJ
easat-1097	58	10	data	datum	NOUN
easat-1097	58	11	for	for	ADP
easat-1097	58	12	co2	co2	NOUN
easat-1097	58	13	emissions	emission	NOUN
easat-1097	58	14	from	from	ADP
easat-1097	58	15	1997	1997	NUM
easat-1097	58	16	to	to	ADP
easat-1097	58	17	2021	2021	NUM
easat-1097	58	18	.	.	PUNCT
easat-1097	59	1	the	the	DET
easat-1097	59	2	primary	primary	ADJ
easat-1097	59	3	data	datum	NOUN
easat-1097	59	4	were	be	AUX
easat-1097	59	5	retrieved	retrieve	VERB
easat-1097	59	6	from	from	ADP
easat-1097	59	7	this	this	DET
easat-1097	59	8	repository	repository	NOUN
easat-1097	59	9	[	[	X
easat-1097	59	10	15	15	NUM
easat-1097	59	11	-	-	SYM
easat-1097	59	12	17	17	NUM
easat-1097	59	13	]	]	PUNCT
easat-1097	59	14	.	.	PUNCT
easat-1097	60	1	the	the	DET
easat-1097	60	2	features	feature	NOUN
easat-1097	60	3	and	and	CCONJ
easat-1097	60	4	labels	label	NOUN
easat-1097	60	5	were	be	AUX
easat-1097	60	6	extracted	extract	VERB
easat-1097	60	7	from	from	ADP
easat-1097	60	8	the	the	DET
easat-1097	60	9	raw	raw	ADJ
easat-1097	60	10	datasets	dataset	NOUN
easat-1097	60	11	.	.	PUNCT
easat-1097	61	1	the	the	DET
easat-1097	61	2	dataset	dataset	NOUN
easat-1097	61	3	comprises	comprise	VERB
easat-1097	61	4	gdp	gdp	NOUN
easat-1097	61	5	,	,	PUNCT
easat-1097	61	6	per	per	ADP
easat-1097	61	7	capita	capita	NOUN
easat-1097	61	8	income	income	NOUN
easat-1097	61	9	,	,	PUNCT
easat-1097	61	10	power	power	NOUN
easat-1097	61	11	industry	industry	NOUN
easat-1097	61	12	,	,	PUNCT
easat-1097	61	13	transportation	transportation	NOUN
easat-1097	61	14	and	and	CCONJ
easat-1097	61	15	construction	construction	NOUN
easat-1097	61	16	.	.	PUNCT
easat-1097	62	1	these	these	DET
easat-1097	62	2	factors	factor	NOUN
easat-1097	62	3	are	be	AUX
easat-1097	62	4	all	all	PRON
easat-1097	62	5	crucial	crucial	ADJ
easat-1097	62	6	elements	element	NOUN
easat-1097	62	7	that	that	PRON
easat-1097	62	8	can	can	AUX
easat-1097	62	9	impact	impact	VERB
easat-1097	62	10	the	the	DET
easat-1097	62	11	release	release	NOUN
easat-1097	62	12	of	of	ADP
easat-1097	62	13	co2	co2	NOUN
easat-1097	62	14	into	into	ADP
easat-1097	62	15	the	the	DET
easat-1097	62	16	atmosphere	atmosphere	NOUN
easat-1097	62	17	.	.	PUNCT
easat-1097	63	1	gdp	gdp	NOUN
easat-1097	63	2	statistics	statistic	NOUN
easat-1097	63	3	and	and	CCONJ
easat-1097	63	4	co2	co2	NOUN
easat-1097	63	5	emissions	emission	NOUN
easat-1097	63	6	serve	serve	VERB
easat-1097	63	7	as	as	ADP
easat-1097	63	8	vital	vital	ADJ
easat-1097	63	9	metrics	metric	NOUN
easat-1097	63	10	that	that	PRON
easat-1097	63	11	offer	offer	VERB
easat-1097	63	12	valuable	valuable	ADJ
easat-1097	63	13	insights	insight	NOUN
easat-1097	63	14	into	into	ADP
easat-1097	63	15	both	both	CCONJ
easat-1097	63	16	the	the	DET
easat-1097	63	17	economic	economic	ADJ
easat-1097	63	18	and	and	CCONJ
easat-1097	63	19	environmental	environmental	ADJ
easat-1097	63	20	performance	performance	NOUN
easat-1097	63	21	of	of	ADP
easat-1097	63	22	a	a	DET
easat-1097	63	23	nation	nation	NOUN
easat-1097	63	24	.	.	PUNCT
easat-1097	64	1	there	there	PRON
easat-1097	64	2	exists	exist	VERB
easat-1097	64	3	a	a	DET
easat-1097	64	4	well	well	ADV
easat-1097	64	5	-	-	PUNCT
easat-1097	64	6	documented	document	VERB
easat-1097	64	7	positive	positive	ADJ
easat-1097	64	8	relationship	relationship	NOUN
easat-1097	64	9	between	between	ADP
easat-1097	64	10	gdp	gdp	NOUN
easat-1097	64	11	and	and	CCONJ
easat-1097	64	12	co2	co2	NOUN
easat-1097	64	13	emissions	emission	NOUN
easat-1097	64	14	as	as	ADP
easat-1097	64	15	countries	country	NOUN
easat-1097	64	16	with	with	ADP
easat-1097	64	17	higher	high	ADJ
easat-1097	64	18	gdp	gdp	NOUN
easat-1097	64	19	tend	tend	VERB
easat-1097	64	20	to	to	PART
easat-1097	64	21	exhibit	exhibit	VERB
easat-1097	64	22	higher	high	ADJ
easat-1097	64	23	levels	level	NOUN
easat-1097	64	24	of	of	ADP
easat-1097	64	25	co2	co2	NOUN
easat-1097	64	26	emissions	emission	NOUN
easat-1097	64	27	.	.	PUNCT
easat-1097	65	1	the	the	DET
easat-1097	65	2	power	power	NOUN
easat-1097	65	3	industry	industry	NOUN
easat-1097	65	4	stands	stand	VERB
easat-1097	65	5	out	out	ADP
easat-1097	65	6	as	as	ADP
easat-1097	65	7	a	a	DET
easat-1097	65	8	major	major	ADJ
easat-1097	65	9	contributor	contributor	NOUN
easat-1097	65	10	to	to	ADP
easat-1097	65	11	co2	co2	NOUN
easat-1097	65	12	emissions	emission	NOUN
easat-1097	65	13	,	,	PUNCT
easat-1097	65	14	responsible	responsible	ADJ
easat-1097	65	15	for	for	ADP
easat-1097	65	16	a	a	DET
easat-1097	65	17	significant	significant	ADJ
easat-1097	65	18	share	share	NOUN
easat-1097	65	19	of	of	ADP
easat-1097	65	20	global	global	ADJ
easat-1097	65	21	emissions	emission	NOUN
easat-1097	65	22	.	.	PUNCT
easat-1097	66	1	similarly	similarly	ADV
easat-1097	66	2	,	,	PUNCT
easat-1097	66	3	the	the	DET
easat-1097	66	4	transport	transport	NOUN
easat-1097	66	5	sector	sector	NOUN
easat-1097	66	6	represents	represent	VERB
easat-1097	66	7	another	another	DET
easat-1097	66	8	substantial	substantial	ADJ
easat-1097	66	9	source	source	NOUN
easat-1097	66	10	of	of	ADP
easat-1097	66	11	co2	co2	NOUN
easat-1097	66	12	emissions	emission	NOUN
easat-1097	66	13	contributing	contribute	VERB
easat-1097	66	14	roughly	roughly	ADV
easat-1097	66	15	one	one	NUM
easat-1097	66	16	-	-	PUNCT
easat-1097	66	17	fifth	fifth	NOUN
easat-1097	66	18	of	of	ADP
easat-1097	66	19	global	global	ADJ
easat-1097	66	20	emissions	emission	NOUN
easat-1097	66	21	.	.	PUNCT
easat-1097	67	1	this	this	DET
easat-1097	67	2	phenomenon	phenomenon	NOUN
easat-1097	67	3	can	can	AUX
easat-1097	67	4	be	be	AUX
easat-1097	67	5	attributed	attribute	VERB
easat-1097	67	6	to	to	ADP
easat-1097	67	7	the	the	DET
easat-1097	67	8	heavy	heavy	ADJ
easat-1097	67	9	reliance	reliance	NOUN
easat-1097	67	10	of	of	ADP
easat-1097	67	11	transportation	transportation	NOUN
easat-1097	67	12	on	on	ADP
easat-1097	67	13	fossil	fossil	ADJ
easat-1097	67	14	fuels	fuel	NOUN
easat-1097	67	15	like	like	ADP
easat-1097	67	16	gasoline	gasoline	NOUN
easat-1097	67	17	and	and	CCONJ
easat-1097	67	18	diesel	diesel	NOUN
easat-1097	67	19	.	.	PUNCT
easat-1097	68	1	one	one	NUM
easat-1097	68	2	-	-	PUNCT
easat-1097	68	3	third	third	NOUN
easat-1097	68	4	of	of	ADP
easat-1097	68	5	all	all	DET
easat-1097	68	6	co2	co2	NOUN
easat-1097	68	7	emissions	emission	NOUN
easat-1097	68	8	come	come	VERB
easat-1097	68	9	from	from	ADP
easat-1097	68	10	buildings	building	NOUN
easat-1097	68	11	which	which	PRON
easat-1097	68	12	is	be	AUX
easat-1097	68	13	a	a	DET
easat-1097	68	14	significant	significant	ADJ
easat-1097	68	15	contribution	contribution	NOUN
easat-1097	68	16	.	.	PUNCT
easat-1097	69	1	this	this	PRON
easat-1097	69	2	is	be	AUX
easat-1097	69	3	primarily	primarily	ADV
easat-1097	69	4	due	due	ADJ
easat-1097	69	5	to	to	ADP
easat-1097	69	6	the	the	DET
easat-1097	69	7	energy	energy	NOUN
easat-1097	69	8	consumption	consumption	NOUN
easat-1097	69	9	in	in	ADP
easat-1097	69	10	buildings	building	NOUN
easat-1097	69	11	for	for	ADP
easat-1097	69	12	heating	heating	NOUN
easat-1097	69	13	,	,	PUNCT
easat-1097	69	14	cooling	cool	VERB
easat-1097	69	15	and	and	CCONJ
easat-1097	69	16	lighting	lighting	NOUN
easat-1097	69	17	often	often	ADV
easat-1097	69	18	derived	derive	VERB
easat-1097	69	19	from	from	ADP
easat-1097	69	20	fossil	fossil	NOUN
easat-1097	69	21	fuel	fuel	NOUN
easat-1097	69	22	reservoirs	reservoir	NOUN
easat-1097	69	23	.	.	PUNCT
easat-1097	70	1	data	datum	NOUN
easat-1097	70	2	preprocessing	preprocessing	NOUN
easat-1097	70	3	is	be	AUX
easat-1097	70	4	a	a	DET
easat-1097	70	5	significant	significant	ADJ
easat-1097	70	6	step	step	NOUN
easat-1097	70	7	in	in	ADP
easat-1097	70	8	the	the	DET
easat-1097	70	9	data	datum	NOUN
easat-1097	70	10	analysis	analysis	NOUN
easat-1097	70	11	process	process	NOUN
easat-1097	70	12	that	that	PRON
easat-1097	70	13	cleans	clean	VERB
easat-1097	70	14	and	and	CCONJ
easat-1097	70	15	transforms	transform	VERB
easat-1097	70	16	raw	raw	ADJ
easat-1097	70	17	data	datum	NOUN
easat-1097	70	18	into	into	ADP
easat-1097	70	19	an	an	DET
easat-1097	70	20	understandable	understandable	ADJ
easat-1097	70	21	format	format	NOUN
easat-1097	70	22	.	.	PUNCT
easat-1097	71	1	data	datum	NOUN
easat-1097	71	2	preprocessing	preprocessing	NOUN
easat-1097	71	3	can	can	AUX
easat-1097	71	4	help	help	VERB
easat-1097	71	5	improve	improve	VERB
easat-1097	71	6	the	the	DET
easat-1097	71	7	accuracy	accuracy	NOUN
easat-1097	71	8	and	and	CCONJ
easat-1097	71	9	robustness	robustness	NOUN
easat-1097	71	10	of	of	ADP
easat-1097	71	11	the	the	DET
easat-1097	71	12	model	model	NOUN
easat-1097	71	13	.	.	PUNCT
easat-1097	72	1	the	the	DET
easat-1097	72	2	data	datum	NOUN
easat-1097	72	3	set	set	VERB
easat-1097	72	4	is	be	AUX
easat-1097	72	5	necessary	necessary	ADJ
easat-1097	72	6	to	to	PART
easat-1097	72	7	check	check	VERB
easat-1097	72	8	for	for	ADP
easat-1097	72	9	errors	error	NOUN
easat-1097	72	10	like	like	ADP
easat-1097	72	11	duplicate	duplicate	ADJ
easat-1097	72	12	data	datum	NOUN
easat-1097	72	13	,	,	PUNCT
easat-1097	72	14	incorrect	incorrect	ADJ
easat-1097	72	15	data	datum	NOUN
easat-1097	72	16	,	,	PUNCT
easat-1097	72	17	missing	miss	VERB
easat-1097	72	18	value	value	NOUN
easat-1097	72	19	or	or	CCONJ
easat-1097	72	20	outliers	outlier	NOUN
easat-1097	72	21	.	.	PUNCT
easat-1097	73	1	it	it	PRON
easat-1097	73	2	is	be	AUX
easat-1097	73	3	the	the	DET
easat-1097	73	4	first	first	ADJ
easat-1097	73	5	and	and	CCONJ
easat-1097	73	6	crucial	crucial	ADJ
easat-1097	73	7	step	step	NOUN
easat-1097	73	8	in	in	ADP
easat-1097	73	9	creating	create	VERB
easat-1097	73	10	a	a	DET
easat-1097	73	11	machine	machine	NOUN
easat-1097	73	12	learning	learn	VERB
easat-1097	73	13	model	model	NOUN
easat-1097	73	14	.	.	PUNCT
easat-1097	74	1	table	table	NOUN
easat-1097	74	2	1	1	NUM
easat-1097	74	3	summarizes	summarize	NOUN
easat-1097	74	4	the	the	DET
easat-1097	74	5	descriptive	descriptive	ADJ
easat-1097	74	6	statistics	statistic	NOUN
easat-1097	74	7	of	of	ADP
easat-1097	74	8	the	the	DET
easat-1097	74	9	raw	raw	ADJ
easat-1097	74	10	data	datum	NOUN
easat-1097	74	11	.	.	PUNCT
easat-1097	75	1	table	table	NOUN
easat-1097	75	2	1	1	NUM
easat-1097	75	3	.	.	PUNCT
easat-1097	75	4	descriptive	descriptive	ADJ
easat-1097	75	5	statistics	statistic	NOUN
easat-1097	75	6	of	of	ADP
easat-1097	75	7	the	the	DET
easat-1097	75	8	raw	raw	ADJ
easat-1097	75	9	data	datum	NOUN
easat-1097	75	10	set	set	VERB
easat-1097	75	11	.	.	PUNCT
easat-1097	76	1	features	feature	NOUN
easat-1097	76	2	mean	mean	VERB
easat-1097	76	3	std	std	X
easat-1097	76	4	.	.	PUNCT
easat-1097	77	1	min	min	PROPN
easat-1097	77	2	25	25	NUM
easat-1097	77	3	%	%	NOUN
easat-1097	77	4	50	50	NUM
easat-1097	77	5	%	%	NOUN
easat-1097	77	6	75	75	NUM
easat-1097	77	7	%	%	NOUN
easat-1097	77	8	max	max	PROPN
easat-1097	77	9	co2	co2	NOUN
easat-1097	77	10	emissions	emission	NOUN
easat-1097	77	11	per	per	ADP
easat-1097	77	12	gdp	gdp	NOUN
easat-1097	77	13	26.988	26.988	NUM
easat-1097	77	14	1.836	1.836	NUM
easat-1097	77	15	23.500	23.500	NUM
easat-1097	77	16	26.350	26.350	NUM
easat-1097	77	17	27.040	27.040	NUM
easat-1097	77	18	28.100	28.100	NUM
easat-1097	77	19	30.750	30.750	NUM
easat-1097	77	20	co2	co2	NOUN
easat-1097	77	21	emission	emission	NOUN
easat-1097	77	22	capita	capita	VERB
easat-1097	77	23	3.453	3.453	NUM
easat-1097	77	24	0.434	0.434	NUM
easat-1097	77	25	2.640	2.640	NUM
easat-1097	77	26	3.080	3.080	NUM
easat-1097	77	27	3.540	3.540	NUM
easat-1097	77	28	3.840	3.840	NUM
easat-1097	77	29	3.970	3.970	NUM
easat-1097	77	30	power	power	NOUN
easat-1097	77	31	industry	industry	NOUN
easat-1097	77	32	76.221	76.221	NUM
easat-1097	77	33	13.232	13.232	NUM
easat-1097	77	34	54.271	54.271	NUM
easat-1097	77	35	62.967	62.967	NUM
easat-1097	77	36	79.296	79.296	NUM
easat-1097	77	37	87.837	87.837	NUM
easat-1097	77	38	92.380	92.380	NUM
easat-1097	77	39	building	build	VERB
easat-1097	77	40	15.832	15.832	NUM
easat-1097	77	41	2.550	2.550	NUM
easat-1097	77	42	11.497	11.497	NUM
easat-1097	77	43	13.902	13.902	NUM
easat-1097	77	44	15.666	15.666	NUM
easat-1097	77	45	17.474	17.474	NUM
easat-1097	77	46	21.230	21.230	NUM
easat-1097	77	47	transport	transport	NOUN
easat-1097	77	48	57.178	57.178	NUM
easat-1097	77	49	8.245	8.245	NUM
easat-1097	77	50	44.846	44.846	NUM
easat-1097	77	51	51.976	51.976	NUM
easat-1097	77	52	56.128	56.128	NUM
easat-1097	77	53	61.741	61.741	NUM
easat-1097	77	54	73.624	73.624	NUM
easat-1097	77	55	co2	co2	NOUN
easat-1097	77	56	emission	emission	NOUN
easat-1097	77	57	2.062	2.062	NUM
easat-1097	77	58	0.089	0.089	NUM
easat-1097	77	59	1.930	1.930	NUM
easat-1097	77	60	2.000	2.000	NUM
easat-1097	77	61	2.030	2.030	NUM
easat-1097	77	62	2.130	2.130	NUM
easat-1097	77	63	2.270	2.270	NUM
easat-1097	77	64	the	the	DET
easat-1097	77	65	data	datum	NOUN
easat-1097	77	66	set	set	VERB
easat-1097	77	67	was	be	AUX
easat-1097	77	68	scaled	scale	VERB
easat-1097	77	69	according	accord	VERB
easat-1097	77	70	to	to	ADP
easat-1097	77	71	the	the	DET
easat-1097	77	72	equation	equation	NOUN
easat-1097	77	73	to	to	PART
easat-1097	77	74	make	make	VERB
easat-1097	77	75	the	the	DET
easat-1097	77	76	data	datum	NOUN
easat-1097	77	77	equal	equal	ADJ
easat-1097	77	78	in	in	ADP
easat-1097	77	79	size	size	NOUN
easat-1097	77	80	.	.	PUNCT
easat-1097	78	1	𝑥′𝑖	𝑥′𝑖	X
easat-1097	79	1	=	=	PUNCT
easat-1097	79	2	𝑥𝑖−𝑥	𝑥𝑖−𝑥	NOUN
easat-1097	79	3	𝑆.𝐷	𝑆.𝐷	PROPN
easat-1097	79	4	(	(	PUNCT
easat-1097	79	5	1	1	X
easat-1097	79	6	)	)	PUNCT
easat-1097	79	7	let	let	VERB
easat-1097	79	8	𝑥	𝑥	PRON
easat-1097	79	9	be	be	AUX
easat-1097	79	10	the	the	DET
easat-1097	79	11	data	datum	NOUN
easat-1097	79	12	at	at	ADP
easat-1097	79	13	that	that	DET
easat-1097	79	14	point	point	NOUN
easat-1097	79	15	.	.	PUNCT
easat-1097	80	1	�	�	NOUN
easat-1097	80	2	̅	̅	NOUN
easat-1097	80	3	�	�	NOUN
easat-1097	80	4	is	be	AUX
easat-1097	80	5	the	the	DET
easat-1097	80	6	mean	mean	NOUN
easat-1097	80	7	of	of	ADP
easat-1097	80	8	the	the	DET
easat-1097	80	9	data	datum	NOUN
easat-1097	80	10	and	and	CCONJ
easat-1097	80	11	𝑆.𝐷.	𝑆.𝐷.	PROPN
easat-1097	80	12	is	be	AUX
easat-1097	80	13	the	the	DET
easat-1097	80	14	standard	standard	ADJ
easat-1097	80	15	deviation	deviation	NOUN
easat-1097	80	16	of	of	ADP
easat-1097	80	17	the	the	DET
easat-1097	80	18	data	datum	NOUN
easat-1097	80	19	.	.	PUNCT
easat-1097	81	1	figure	figure	NOUN
easat-1097	81	2	1	1	NUM
easat-1097	81	3	shows	show	VERB
easat-1097	81	4	the	the	DET
easat-1097	81	5	proposed	propose	VERB
easat-1097	81	6	framework	framework	NOUN
easat-1097	81	7	for	for	ADP
easat-1097	81	8	co2	co2	NOUN
easat-1097	81	9	emissions	emission	NOUN
easat-1097	81	10	.	.	PUNCT
easat-1097	82	1	the	the	DET
easat-1097	82	2	steps	step	NOUN
easat-1097	82	3	involved	involve	VERB
easat-1097	82	4	in	in	ADP
easat-1097	82	5	using	use	VERB
easat-1097	82	6	machine	machine	NOUN
easat-1097	82	7	learning	learn	VERB
easat-1097	82	8	algorithms	algorithm	NOUN
easat-1097	82	9	for	for	ADP
easat-1097	82	10	co2	co2	NOUN
easat-1097	82	11	emission	emission	NOUN
easat-1097	82	12	prediction	prediction	NOUN
easat-1097	82	13	are	be	AUX
easat-1097	82	14	as	as	SCONJ
easat-1097	82	15	follows	follow	VERB
easat-1097	82	16	:	:	PUNCT
easat-1097	82	17	1	1	X
easat-1097	82	18	.	.	X
easat-1097	82	19	collect	collect	VERB
easat-1097	82	20	a	a	DET
easat-1097	82	21	dataset	dataset	NOUN
easat-1097	82	22	of	of	ADP
easat-1097	82	23	co2	co2	NOUN
easat-1097	82	24	emissions	emission	NOUN
easat-1097	82	25	and	and	CCONJ
easat-1097	82	26	corresponding	correspond	VERB
easat-1097	82	27	input	input	NOUN
easat-1097	82	28	factors	factor	NOUN
easat-1097	82	29	.	.	PUNCT
easat-1097	83	1	this	this	DET
easat-1097	83	2	dataset	dataset	NOUN
easat-1097	83	3	should	should	AUX
easat-1097	83	4	include	include	VERB
easat-1097	83	5	a	a	DET
easat-1097	83	6	range	range	NOUN
easat-1097	83	7	of	of	ADP
easat-1097	83	8	input	input	NOUN
easat-1097	83	9	factors	factor	NOUN
easat-1097	83	10	that	that	PRON
easat-1097	83	11	are	be	AUX
easat-1097	83	12	relevant	relevant	ADJ
easat-1097	83	13	to	to	ADP
easat-1097	83	14	co2	co2	NOUN
easat-1097	83	15	emissions	emission	NOUN
easat-1097	83	16	.	.	PUNCT
easat-1097	84	1	2	2	X
easat-1097	84	2	.	.	X
easat-1097	84	3	preprocess	preprocess	NOUN
easat-1097	84	4	the	the	DET
easat-1097	84	5	dataset	dataset	NOUN
easat-1097	84	6	by	by	ADP
easat-1097	84	7	cleaning	clean	VERB
easat-1097	84	8	the	the	DET
easat-1097	84	9	data	datum	NOUN
easat-1097	84	10	removing	remove	VERB
easat-1097	84	11	any	any	DET
easat-1097	84	12	missing	missing	ADJ
easat-1097	84	13	or	or	CCONJ
easat-1097	84	14	invalid	invalid	ADJ
easat-1097	84	15	values	value	NOUN
easat-1097	84	16	and	and	CCONJ
easat-1097	84	17	normalizing	normalize	VERB
easat-1097	84	18	the	the	DET
easat-1097	84	19	input	input	NOUN
easat-1097	84	20	factors	factor	NOUN
easat-1097	84	21	to	to	PART
easat-1097	84	22	ensure	ensure	VERB
easat-1097	84	23	that	that	SCONJ
easat-1097	84	24	they	they	PRON
easat-1097	84	25	are	be	AUX
easat-1097	84	26	on	on	ADP
easat-1097	84	27	the	the	DET
easat-1097	84	28	same	same	ADJ
easat-1097	84	29	scale	scale	NOUN
easat-1097	84	30	.	.	PUNCT
easat-1097	85	1	4	4	NUM
easat-1097	85	2	edelweiss	edelweiss	PROPN
easat-1097	85	3	applied	apply	VERB
easat-1097	85	4	science	science	NOUN
easat-1097	85	5	and	and	CCONJ
easat-1097	85	6	technology	technology	NOUN
easat-1097	85	7	issn	issn	PROPN
easat-1097	85	8	:	:	PUNCT
easat-1097	85	9	2576	2576	NUM
easat-1097	85	10	-	-	SYM
easat-1097	85	11	8484	8484	NUM
easat-1097	85	12	vol	vol	NOUN
easat-1097	85	13	.	.	PROPN
easat-1097	85	14	8	8	NUM
easat-1097	85	15	,	,	PUNCT
easat-1097	85	16	no	no	INTJ
easat-1097	85	17	.	.	NOUN
easat-1097	86	1	4	4	NUM
easat-1097	86	2	:	:	SYM
easat-1097	86	3	1	1	NUM
easat-1097	86	4	-	-	SYM
easat-1097	86	5	11	11	NUM
easat-1097	86	6	,	,	PUNCT
easat-1097	86	7	2024	2024	NUM
easat-1097	86	8	doi	doi	NOUN
easat-1097	86	9	:	:	PUNCT
easat-1097	86	10	10.55214/25768484.v8i4.1097	10.55214/25768484.v8i4.1097	NUM
easat-1097	86	11	©	©	NOUN
easat-1097	86	12	2024	2024	NUM
easat-1097	86	13	by	by	ADP
easat-1097	86	14	the	the	DET
easat-1097	86	15	authors	author	NOUN
easat-1097	86	16	;	;	PUNCT
easat-1097	86	17	licensee	licensee	PROPN
easat-1097	86	18	learning	learning	NOUN
easat-1097	86	19	gate	gate	NOUN
easat-1097	86	20	3	3	PROPN
easat-1097	86	21	.	.	PUNCT
easat-1097	86	22	split	split	VERB
easat-1097	86	23	the	the	DET
easat-1097	86	24	dataset	dataset	NOUN
easat-1097	86	25	into	into	ADP
easat-1097	86	26	two	two	NUM
easat-1097	86	27	sets	set	NOUN
easat-1097	86	28	:	:	PUNCT
easat-1097	86	29	a	a	DET
easat-1097	86	30	training	training	NOUN
easat-1097	86	31	set	set	NOUN
easat-1097	86	32	and	and	CCONJ
easat-1097	86	33	a	a	DET
easat-1097	86	34	testing	testing	NOUN
easat-1097	86	35	set	set	NOUN
easat-1097	86	36	.	.	PUNCT
easat-1097	87	1	the	the	DET
easat-1097	87	2	training	training	NOUN
easat-1097	87	3	set	set	NOUN
easat-1097	87	4	is	be	AUX
easat-1097	87	5	used	use	VERB
easat-1097	87	6	to	to	PART
easat-1097	87	7	train	train	VERB
easat-1097	87	8	the	the	DET
easat-1097	87	9	machine	machine	NOUN
easat-1097	87	10	learning	learning	NOUN
easat-1097	87	11	model	model	NOUN
easat-1097	87	12	while	while	SCONJ
easat-1097	87	13	the	the	DET
easat-1097	87	14	testing	testing	NOUN
easat-1097	87	15	set	set	NOUN
easat-1097	87	16	is	be	AUX
easat-1097	87	17	used	use	VERB
easat-1097	87	18	to	to	PART
easat-1097	87	19	evaluate	evaluate	VERB
easat-1097	87	20	the	the	DET
easat-1097	87	21	performance	performance	NOUN
easat-1097	87	22	of	of	ADP
easat-1097	87	23	the	the	DET
easat-1097	87	24	model	model	NOUN
easat-1097	87	25	.	.	PUNCT
easat-1097	88	1	cross	cross	ADJ
easat-1097	88	2	-	-	ADJ
easat-1097	88	3	validation	validation	NOUN
easat-1097	88	4	was	be	AUX
easat-1097	88	5	applied	apply	VERB
easat-1097	88	6	at	at	ADP
easat-1097	88	7	this	this	DET
easat-1097	88	8	stage	stage	NOUN
easat-1097	88	9	to	to	PART
easat-1097	88	10	divide	divide	VERB
easat-1097	88	11	the	the	DET
easat-1097	88	12	data	datum	NOUN
easat-1097	88	13	set	set	VERB
easat-1097	88	14	.	.	PUNCT
easat-1097	89	1	4	4	X
easat-1097	89	2	.	.	X
easat-1097	89	3	train	train	VERB
easat-1097	89	4	the	the	DET
easat-1097	89	5	machine	machine	NOUN
easat-1097	89	6	-	-	PUNCT
easat-1097	89	7	learning	learn	VERB
easat-1097	89	8	model	model	NOUN
easat-1097	89	9	using	use	VERB
easat-1097	89	10	the	the	DET
easat-1097	89	11	training	training	NOUN
easat-1097	89	12	set	set	NOUN
easat-1097	89	13	.	.	PUNCT
easat-1097	90	1	this	this	PRON
easat-1097	90	2	involves	involve	VERB
easat-1097	90	3	selecting	select	VERB
easat-1097	90	4	an	an	DET
easat-1097	90	5	appropriate	appropriate	ADJ
easat-1097	90	6	kernel	kernel	NOUN
easat-1097	90	7	function	function	NOUN
easat-1097	90	8	,	,	PUNCT
easat-1097	90	9	tuning	tune	VERB
easat-1097	90	10	the	the	DET
easat-1097	90	11	hyper	hyper	ADJ
easat-1097	90	12	parameters	parameter	NOUN
easat-1097	90	13	of	of	ADP
easat-1097	90	14	the	the	DET
easat-1097	90	15	model	model	NOUN
easat-1097	90	16	and	and	CCONJ
easat-1097	90	17	optimizing	optimize	VERB
easat-1097	90	18	the	the	DET
easat-1097	90	19	weight	weight	NOUN
easat-1097	90	20	coefficients	coefficient	NOUN
easat-1097	90	21	and	and	CCONJ
easat-1097	90	22	the	the	DET
easat-1097	90	23	bias	bias	NOUN
easat-1097	90	24	term	term	NOUN
easat-1097	90	25	.	.	PUNCT
easat-1097	91	1	5	5	X
easat-1097	91	2	.	.	X
easat-1097	91	3	test	test	VERB
easat-1097	91	4	the	the	DET
easat-1097	91	5	machine	machine	NOUN
easat-1097	91	6	learning	learn	VERB
easat-1097	91	7	model	model	NOUN
easat-1097	91	8	using	use	VERB
easat-1097	91	9	the	the	DET
easat-1097	91	10	testing	testing	NOUN
easat-1097	91	11	set	set	NOUN
easat-1097	91	12	.	.	PUNCT
easat-1097	92	1	this	this	PRON
easat-1097	92	2	involves	involve	VERB
easat-1097	92	3	using	use	VERB
easat-1097	92	4	the	the	DET
easat-1097	92	5	trained	train	VERB
easat-1097	92	6	model	model	NOUN
easat-1097	92	7	to	to	PART
easat-1097	92	8	predict	predict	VERB
easat-1097	92	9	the	the	DET
easat-1097	92	10	co2	co2	NOUN
easat-1097	92	11	emissions	emission	NOUN
easat-1097	92	12	for	for	ADP
easat-1097	92	13	each	each	DET
easat-1097	92	14	input	input	NOUN
easat-1097	92	15	combination	combination	NOUN
easat-1097	92	16	in	in	ADP
easat-1097	92	17	the	the	DET
easat-1097	92	18	testing	testing	NOUN
easat-1097	92	19	set	set	VERB
easat-1097	92	20	and	and	CCONJ
easat-1097	92	21	then	then	ADV
easat-1097	92	22	comparing	compare	VERB
easat-1097	92	23	the	the	DET
easat-1097	92	24	predicted	predict	VERB
easat-1097	92	25	values	value	NOUN
easat-1097	92	26	to	to	ADP
easat-1097	92	27	the	the	DET
easat-1097	92	28	actual	actual	ADJ
easat-1097	92	29	values	value	NOUN
easat-1097	92	30	.	.	PUNCT
easat-1097	93	1	6	6	X
easat-1097	93	2	.	.	X
easat-1097	93	3	evaluate	evaluate	VERB
easat-1097	93	4	the	the	DET
easat-1097	93	5	performance	performance	NOUN
easat-1097	93	6	of	of	ADP
easat-1097	93	7	the	the	DET
easat-1097	93	8	machine	machine	NOUN
easat-1097	93	9	learning	learn	VERB
easat-1097	93	10	model	model	NOUN
easat-1097	93	11	using	use	VERB
easat-1097	93	12	the	the	DET
easat-1097	93	13	mape	mape	NOUN
easat-1097	93	14	metric	metric	ADJ
easat-1097	93	15	.	.	PUNCT
easat-1097	94	1	the	the	DET
easat-1097	94	2	metric	metric	NOUN
easat-1097	94	3	can	can	AUX
easat-1097	94	4	help	help	VERB
easat-1097	94	5	determine	determine	VERB
easat-1097	94	6	how	how	SCONJ
easat-1097	94	7	well	well	ADV
easat-1097	94	8	the	the	DET
easat-1097	94	9	machine	machine	NOUN
easat-1097	94	10	learning	learning	NOUN
easat-1097	94	11	model	model	NOUN
easat-1097	94	12	can	can	AUX
easat-1097	94	13	predict	predict	VERB
easat-1097	94	14	co2	co2	NOUN
easat-1097	94	15	emissions	emission	NOUN
easat-1097	94	16	based	base	VERB
easat-1097	94	17	on	on	ADP
easat-1097	94	18	the	the	DET
easat-1097	94	19	input	input	NOUN
easat-1097	94	20	factors	factor	NOUN
easat-1097	94	21	.	.	PUNCT
easat-1097	95	1	figure	figure	NOUN
easat-1097	95	2	1	1	NUM
easat-1097	95	3	.	.	PUNCT
easat-1097	96	1	the	the	DET
easat-1097	96	2	proposed	propose	VERB
easat-1097	96	3	framework	framework	NOUN
easat-1097	96	4	for	for	ADP
easat-1097	96	5	co2	co2	NOUN
easat-1097	96	6	emissions	emission	NOUN
easat-1097	96	7	.	.	PUNCT
easat-1097	97	1	svm	svm	ADJ
easat-1097	97	2	,	,	PUNCT
easat-1097	97	3	random	random	ADJ
easat-1097	97	4	forest	forest	NOUN
easat-1097	97	5	and	and	CCONJ
easat-1097	97	6	mlr	mlr	NOUN
easat-1097	97	7	are	be	AUX
easat-1097	97	8	all	all	DET
easat-1097	97	9	machine	machine	NOUN
easat-1097	97	10	learning	learn	VERB
easat-1097	97	11	algorithms	algorithm	NOUN
easat-1097	97	12	that	that	PRON
easat-1097	97	13	can	can	AUX
easat-1097	97	14	be	be	AUX
easat-1097	97	15	used	use	VERB
easat-1097	97	16	for	for	ADP
easat-1097	97	17	co2	co2	NOUN
easat-1097	97	18	emission	emission	NOUN
easat-1097	97	19	prediction	prediction	NOUN
easat-1097	97	20	or	or	CCONJ
easat-1097	97	21	other	other	ADJ
easat-1097	97	22	related	related	ADJ
easat-1097	97	23	tasks	task	NOUN
easat-1097	97	24	.	.	PUNCT
easat-1097	98	1	each	each	DET
easat-1097	98	2	algorithm	algorithm	NOUN
easat-1097	98	3	has	have	VERB
easat-1097	98	4	its	its	PRON
easat-1097	98	5	strengths	strength	NOUN
easat-1097	98	6	and	and	CCONJ
easat-1097	98	7	weaknesses	weakness	NOUN
easat-1097	98	8	.	.	PUNCT
easat-1097	99	1	5	5	NUM
easat-1097	99	2	edelweiss	edelweiss	PROPN
easat-1097	99	3	applied	apply	VERB
easat-1097	99	4	science	science	NOUN
easat-1097	99	5	and	and	CCONJ
easat-1097	99	6	technology	technology	NOUN
easat-1097	99	7	issn	issn	PROPN
easat-1097	99	8	:	:	PUNCT
easat-1097	99	9	2576	2576	NUM
easat-1097	99	10	-	-	SYM
easat-1097	99	11	8484	8484	NUM
easat-1097	99	12	vol	vol	NOUN
easat-1097	99	13	.	.	PROPN
easat-1097	99	14	8	8	NUM
easat-1097	99	15	,	,	PUNCT
easat-1097	99	16	no	no	INTJ
easat-1097	99	17	.	.	NOUN
easat-1097	100	1	4	4	NUM
easat-1097	100	2	:	:	SYM
easat-1097	100	3	1	1	NUM
easat-1097	100	4	-	-	SYM
easat-1097	100	5	11	11	NUM
easat-1097	100	6	,	,	PUNCT
easat-1097	100	7	2024	2024	NUM
easat-1097	100	8	doi	doi	NOUN
easat-1097	100	9	:	:	PUNCT
easat-1097	100	10	10.55214/25768484.v8i4.1097	10.55214/25768484.v8i4.1097	NUM
easat-1097	100	11	©	©	NOUN
easat-1097	100	12	2024	2024	NUM
easat-1097	100	13	by	by	ADP
easat-1097	100	14	the	the	DET
easat-1097	100	15	authors	author	NOUN
easat-1097	100	16	;	;	PUNCT
easat-1097	100	17	licensee	licensee	PROPN
easat-1097	100	18	learning	learning	NOUN
easat-1097	100	19	gate	gate	NOUN
easat-1097	100	20	3.2	3.2	NUM
easat-1097	100	21	.	.	PUNCT
easat-1097	101	1	methods	method	NOUN
easat-1097	101	2	3.2.1	3.2.1	NUM
easat-1097	101	3	.	.	PUNCT
easat-1097	102	1	cross	cross	NOUN
easat-1097	102	2	-	-	NOUN
easat-1097	102	3	validation	validation	NOUN
easat-1097	102	4	in	in	ADP
easat-1097	102	5	machine	machine	NOUN
easat-1097	102	6	learning	learning	NOUN
easat-1097	102	7	,	,	PUNCT
easat-1097	102	8	cross	cross	NOUN
easat-1097	102	9	-	-	ADJ
easat-1097	102	10	validation	validation	NOUN
easat-1097	102	11	is	be	AUX
easat-1097	102	12	a	a	DET
easat-1097	102	13	method	method	NOUN
easat-1097	102	14	used	use	VERB
easat-1097	102	15	to	to	PART
easat-1097	102	16	assess	assess	VERB
easat-1097	102	17	a	a	DET
easat-1097	102	18	model	model	NOUN
easat-1097	102	19	's	's	PART
easat-1097	102	20	performance	performance	NOUN
easat-1097	102	21	on	on	ADP
easat-1097	102	22	a	a	DET
easat-1097	102	23	dataset	dataset	NOUN
easat-1097	102	24	.	.	PUNCT
easat-1097	103	1	a	a	DET
easat-1097	103	2	training	training	NOUN
easat-1097	103	3	set	set	NOUN
easat-1097	103	4	and	and	CCONJ
easat-1097	103	5	a	a	DET
easat-1097	103	6	testing	testing	NOUN
easat-1097	103	7	set	set	NOUN
easat-1097	103	8	are	be	AUX
easat-1097	103	9	often	often	ADV
easat-1097	103	10	created	create	VERB
easat-1097	103	11	from	from	ADP
easat-1097	103	12	the	the	DET
easat-1097	103	13	dataset	dataset	NOUN
easat-1097	103	14	.	.	PUNCT
easat-1097	104	1	after	after	ADP
easat-1097	104	2	training	training	NOUN
easat-1097	104	3	on	on	ADP
easat-1097	104	4	the	the	DET
easat-1097	104	5	training	training	NOUN
easat-1097	104	6	set	set	NOUN
easat-1097	104	7	,	,	PUNCT
easat-1097	104	8	the	the	DET
easat-1097	104	9	model	model	NOUN
easat-1097	104	10	is	be	AUX
easat-1097	104	11	assessed	assess	VERB
easat-1097	104	12	on	on	ADP
easat-1097	104	13	the	the	DET
easat-1097	104	14	testing	testing	NOUN
easat-1097	104	15	set	set	NOUN
easat-1097	104	16	.	.	PUNCT
easat-1097	105	1	k	k	ADJ
easat-1097	105	2	-	-	ADJ
easat-1097	105	3	fold	fold	ADJ
easat-1097	105	4	cross	cross	NOUN
easat-1097	105	5	-	-	ADJ
easat-1097	105	6	validation	validation	NOUN
easat-1097	105	7	is	be	AUX
easat-1097	105	8	the	the	DET
easat-1097	105	9	most	most	ADV
easat-1097	105	10	popular	popular	ADJ
easat-1097	105	11	type	type	NOUN
easat-1097	105	12	of	of	ADP
easat-1097	105	13	cross	cross	NOUN
easat-1097	105	14	-	-	NOUN
easat-1097	105	15	validation	validation	NOUN
easat-1097	105	16	.	.	PUNCT
easat-1097	106	1	in	in	ADP
easat-1097	106	2	this	this	DET
easat-1097	106	3	method	method	NOUN
easat-1097	106	4	,	,	PUNCT
easat-1097	106	5	the	the	DET
easat-1097	106	6	dataset	dataset	NOUN
easat-1097	106	7	is	be	AUX
easat-1097	106	8	divided	divide	VERB
easat-1097	106	9	into	into	ADP
easat-1097	106	10	k	k	PROPN
easat-1097	106	11	folds	fold	NOUN
easat-1097	106	12	of	of	ADP
easat-1097	106	13	equal	equal	ADJ
easat-1097	106	14	size	size	NOUN
easat-1097	106	15	.	.	PUNCT
easat-1097	107	1	the	the	DET
easat-1097	107	2	model	model	NOUN
easat-1097	107	3	is	be	AUX
easat-1097	107	4	trained	train	VERB
easat-1097	107	5	k	k	PROPN
easat-1097	107	6	times	time	NOUN
easat-1097	107	7	using	use	VERB
easat-1097	107	8	one	one	NUM
easat-1097	107	9	fold	fold	NOUN
easat-1097	107	10	as	as	ADP
easat-1097	107	11	the	the	DET
easat-1097	107	12	training	training	NOUN
easat-1097	107	13	set	set	NOUN
easat-1097	107	14	and	and	CCONJ
easat-1097	107	15	the	the	DET
easat-1097	107	16	remaining	remain	VERB
easat-1097	107	17	folds	fold	NOUN
easat-1097	107	18	as	as	ADP
easat-1097	107	19	the	the	DET
easat-1097	107	20	testing	testing	NOUN
easat-1097	107	21	set	set	NOUN
easat-1097	107	22	.	.	PUNCT
easat-1097	108	1	the	the	DET
easat-1097	108	2	formula	formula	NOUN
easat-1097	108	3	for	for	ADP
easat-1097	108	4	k	k	ADJ
easat-1097	108	5	-	-	ADJ
easat-1097	108	6	fold	fold	ADJ
easat-1097	108	7	cross	cross	NOUN
easat-1097	108	8	-	-	ADJ
easat-1097	108	9	validation	validation	ADJ
easat-1097	108	10	can	can	AUX
easat-1097	108	11	be	be	AUX
easat-1097	108	12	shown	show	VERB
easat-1097	108	13	as	as	SCONJ
easat-1097	108	14	follows	follow	VERB
easat-1097	108	15	:	:	PUNCT
easat-1097	108	16	1	1	X
easat-1097	108	17	.	.	X
easat-1097	108	18	divide	divide	VERB
easat-1097	108	19	the	the	DET
easat-1097	108	20	data	datum	NOUN
easat-1097	108	21	into	into	ADP
easat-1097	108	22	k	k	PROPN
easat-1097	108	23	equal	equal	ADJ
easat-1097	108	24	-	-	PUNCT
easat-1097	108	25	sized	sized	ADJ
easat-1097	108	26	subsets	subset	NOUN
easat-1097	108	27	.	.	PUNCT
easat-1097	109	1	2	2	X
easat-1097	109	2	.	.	X
easat-1097	109	3	for	for	ADP
easat-1097	109	4	each	each	DET
easat-1097	109	5	subset	subset	NOUN
easat-1097	109	6	a.	a.	NOUN
easat-1097	109	7	train	train	NOUN
easat-1097	109	8	the	the	DET
easat-1097	109	9	model	model	NOUN
easat-1097	109	10	on	on	ADP
easat-1097	109	11	the	the	DET
easat-1097	109	12	remaining	remain	VERB
easat-1097	109	13	k-1	k-1	PROPN
easat-1097	109	14	subsets	subset	NOUN
easat-1097	109	15	.	.	PUNCT
easat-1097	110	1	b.	b.	PROPN
easat-1097	110	2	evaluate	evaluate	VERB
easat-1097	110	3	the	the	DET
easat-1097	110	4	model	model	NOUN
easat-1097	110	5	on	on	ADP
easat-1097	110	6	the	the	DET
easat-1097	110	7	current	current	ADJ
easat-1097	110	8	subset	subset	NOUN
easat-1097	110	9	.	.	PUNCT
easat-1097	111	1	3	3	X
easat-1097	111	2	.	.	X
easat-1097	111	3	compute	compute	VERB
easat-1097	111	4	the	the	DET
easat-1097	111	5	average	average	ADJ
easat-1097	111	6	evaluation	evaluation	NOUN
easat-1097	111	7	metric	metric	NOUN
easat-1097	111	8	across	across	ADP
easat-1097	111	9	all	all	DET
easat-1097	111	10	k	k	PROPN
easat-1097	111	11	subsets	subset	NOUN
easat-1097	111	12	to	to	PART
easat-1097	111	13	obtain	obtain	VERB
easat-1097	111	14	the	the	DET
easat-1097	111	15	final	final	ADJ
easat-1097	111	16	model	model	NOUN
easat-1097	111	17	performance	performance	NOUN
easat-1097	111	18	.	.	PUNCT
easat-1097	112	1	cross	cross	ADJ
easat-1097	112	2	-	-	NOUN
easat-1097	112	3	validation	validation	NOUN
easat-1097	112	4	is	be	AUX
easat-1097	112	5	a	a	DET
easat-1097	112	6	crucial	crucial	ADJ
easat-1097	112	7	technique	technique	NOUN
easat-1097	112	8	in	in	ADP
easat-1097	112	9	machine	machine	NOUN
easat-1097	112	10	learning	learn	VERB
easat-1097	112	11	for	for	ADP
easat-1097	112	12	ensuring	ensure	VERB
easat-1097	112	13	that	that	SCONJ
easat-1097	112	14	models	model	NOUN
easat-1097	112	15	are	be	AUX
easat-1097	112	16	robust	robust	ADJ
easat-1097	112	17	and	and	CCONJ
easat-1097	112	18	generalizable	generalizable	ADJ
easat-1097	112	19	to	to	ADP
easat-1097	112	20	new	new	ADJ
easat-1097	112	21	data	datum	NOUN
easat-1097	112	22	.	.	PUNCT
easat-1097	113	1	3.2.2	3.2.2	X
easat-1097	113	2	.	.	PUNCT
easat-1097	113	3	multiple	multiple	ADJ
easat-1097	113	4	linear	linear	ADJ
easat-1097	113	5	regression	regression	NOUN
easat-1097	113	6	(	(	PUNCT
easat-1097	113	7	mlr	mlr	NOUN
easat-1097	113	8	)	)	PUNCT
easat-1097	113	9	a	a	DET
easat-1097	113	10	proficient	proficient	ADJ
easat-1097	113	11	approach	approach	NOUN
easat-1097	113	12	for	for	ADP
easat-1097	113	13	simulating	simulate	VERB
easat-1097	113	14	the	the	DET
easat-1097	113	15	linear	linear	ADJ
easat-1097	113	16	relationship	relationship	NOUN
easat-1097	113	17	between	between	ADP
easat-1097	113	18	the	the	DET
easat-1097	113	19	input	input	NOUN
easat-1097	113	20	and	and	CCONJ
easat-1097	113	21	target	target	NOUN
easat-1097	113	22	variables	variable	NOUN
easat-1097	113	23	is	be	AUX
easat-1097	113	24	multiple	multiple	ADJ
easat-1097	113	25	linear	linear	ADJ
easat-1097	113	26	regression	regression	NOUN
easat-1097	113	27	(	(	PUNCT
easat-1097	113	28	mlr	mlr	NOUN
easat-1097	113	29	)	)	PUNCT
easat-1097	113	30	.	.	PUNCT
easat-1097	114	1	mlr	mlr	NOUN
easat-1097	114	2	can	can	AUX
easat-1097	114	3	be	be	AUX
easat-1097	114	4	beneficial	beneficial	ADJ
easat-1097	114	5	in	in	ADP
easat-1097	114	6	determining	determine	VERB
easat-1097	114	7	the	the	DET
easat-1097	114	8	main	main	ADJ
easat-1097	114	9	variables	variable	NOUN
easat-1097	114	10	influencing	influence	VERB
easat-1097	114	11	co2	co2	NOUN
easat-1097	114	12	emissions	emission	NOUN
easat-1097	114	13	and	and	CCONJ
easat-1097	114	14	quantifying	quantify	VERB
easat-1097	114	15	the	the	DET
easat-1097	114	16	extent	extent	NOUN
easat-1097	114	17	of	of	ADP
easat-1097	114	18	those	those	DET
easat-1097	114	19	variables	variable	NOUN
easat-1097	114	20	'	'	PART
easat-1097	114	21	effects	effect	NOUN
easat-1097	114	22	.	.	PUNCT
easat-1097	115	1	the	the	DET
easat-1097	115	2	link	link	NOUN
easat-1097	115	3	between	between	ADP
easat-1097	115	4	energy	energy	NOUN
easat-1097	115	5	use	use	NOUN
easat-1097	115	6	and	and	CCONJ
easat-1097	115	7	co2	co2	NOUN
easat-1097	115	8	emissions	emission	NOUN
easat-1097	115	9	in	in	ADP
easat-1097	115	10	different	different	ADJ
easat-1097	115	11	nations	nation	NOUN
easat-1097	115	12	has	have	AUX
easat-1097	115	13	been	be	AUX
easat-1097	115	14	modelled	model	VERB
easat-1097	115	15	using	use	VERB
easat-1097	115	16	mlr	mlr	NOUN
easat-1097	115	17	.	.	PUNCT
easat-1097	116	1	the	the	DET
easat-1097	116	2	independent	independent	ADJ
easat-1097	116	3	and	and	CCONJ
easat-1097	116	4	dependent	dependent	ADJ
easat-1097	116	5	variables	variable	NOUN
easat-1097	116	6	'	'	PART
easat-1097	116	7	causal	causal	ADJ
easat-1097	116	8	linkages	linkage	NOUN
easat-1097	116	9	are	be	AUX
easat-1097	116	10	determined	determine	VERB
easat-1097	116	11	through	through	ADP
easat-1097	116	12	the	the	DET
easat-1097	116	13	use	use	NOUN
easat-1097	116	14	of	of	ADP
easat-1097	116	15	multiple	multiple	ADJ
easat-1097	116	16	linear	linear	ADJ
easat-1097	116	17	regression	regression	NOUN
easat-1097	116	18	analysis	analysis	NOUN
easat-1097	116	19	.	.	PUNCT
easat-1097	117	1	the	the	DET
easat-1097	117	2	mlr	mlr	PROPN
easat-1097	117	3	model	model	NOUN
easat-1097	117	4	in	in	ADP
easat-1097	117	5	the	the	DET
easat-1097	117	6	equation	equation	NOUN
easat-1097	117	7	is	be	AUX
easat-1097	117	8	as	as	SCONJ
easat-1097	117	9	follows	follow	VERB
easat-1097	117	10	:	:	PUNCT
easat-1097	118	1	�	�	PROPN
easat-1097	118	2	̂	̂	SYM
easat-1097	118	3	�	�	PROPN
easat-1097	118	4	=	=	SYM
easat-1097	118	5	𝑤0	𝑤0	PROPN
easat-1097	118	6	+	+	CCONJ
easat-1097	118	7	𝑤1𝑥1	𝑤1𝑥1	PROPN
easat-1097	118	8	+	+	CCONJ
easat-1097	118	9	𝑤2𝑥2	𝑤2𝑥2	X
easat-1097	118	10	+	+	X
easat-1097	118	11	⋯+	⋯+	NOUN
easat-1097	118	12	𝑤𝐷𝑥𝐷+	𝑤𝐷𝑥𝐷+	NOUN
easat-1097	119	1	ϵ	ϵ	X
easat-1097	119	2	(	(	PUNCT
easat-1097	119	3	2	2	X
easat-1097	119	4	)	)	PUNCT
easat-1097	119	5	𝑊	𝑊	NOUN
easat-1097	119	6	=	=	PUNCT
easat-1097	119	7	(	(	PUNCT
easat-1097	119	8	𝑋𝑏𝑇𝑋𝑏)−1𝑋𝑏𝑇𝑌	𝑋𝑏𝑇𝑋𝑏)−1𝑋𝑏𝑇𝑌	NOUN
easat-1097	119	9	(	(	PUNCT
easat-1097	119	10	3	3	NUM
easat-1097	119	11	)	)	PUNCT
easat-1097	119	12	where	where	SCONJ
easat-1097	119	13	w0	w0	PROPN
easat-1097	119	14	,	,	PUNCT
easat-1097	119	15	w1	w1	NOUN
easat-1097	119	16	,	,	PUNCT
easat-1097	119	17	w2	w2	NOUN
easat-1097	119	18	,	,	PUNCT
easat-1097	119	19	…	…	PUNCT
easat-1097	119	20	,	,	PUNCT
easat-1097	119	21	wd	wd	PROPN
easat-1097	119	22	causes	cause	VERB
easat-1097	119	23	the	the	DET
easat-1097	119	24	least	least	ADJ
easat-1097	119	25	error	error	NOUN
easat-1097	119	26	𝐸𝑟𝑟𝑜𝑟	𝐸𝑟𝑟𝑜𝑟	PROPN
easat-1097	119	27	=	=	PROPN
easat-1097	119	28	∑	∑	PROPN
easat-1097	119	29	(	(	PUNCT
easat-1097	119	30	𝑦𝑖	𝑦𝑖	PROPN
easat-1097	119	31	−	−	PROPN
easat-1097	119	32	𝑦	𝑦	SYM
easat-1097	119	33	�	�	PROPN
easat-1097	119	34	̂	̂	SYM
easat-1097	119	35	�	�	NOUN
easat-1097	119	36	)	)	PUNCT
easat-1097	119	37	2𝑁	2𝑁	NOUN
easat-1097	119	38	𝑖=1	𝑖=1	PROPN
easat-1097	119	39	(	(	PUNCT
easat-1097	119	40	4	4	NUM
easat-1097	119	41	)	)	PUNCT
easat-1097	119	42	in	in	ADP
easat-1097	119	43	this	this	DET
easat-1097	119	44	equation	equation	NOUN
easat-1097	119	45	,	,	PUNCT
easat-1097	119	46	w	w	PROPN
easat-1097	119	47	represents	represent	VERB
easat-1097	119	48	the	the	DET
easat-1097	119	49	coefficients	coefficient	NOUN
easat-1097	119	50	of	of	ADP
easat-1097	119	51	independent	independent	ADJ
easat-1097	119	52	variables	variable	NOUN
easat-1097	119	53	.	.	PUNCT
easat-1097	120	1	ϵ	ϵ	X
easat-1097	120	2	is	be	AUX
easat-1097	120	3	referred	refer	VERB
easat-1097	120	4	to	to	ADP
easat-1097	120	5	as	as	ADP
easat-1097	120	6	error	error	NOUN
easat-1097	120	7	terms	term	NOUN
easat-1097	120	8	that	that	PRON
easat-1097	120	9	are	be	AUX
easat-1097	120	10	not	not	PART
easat-1097	120	11	detected	detect	VERB
easat-1097	120	12	from	from	ADP
easat-1097	120	13	the	the	DET
easat-1097	120	14	data	datum	NOUN
easat-1097	120	15	.	.	PUNCT
easat-1097	121	1	3.2.3	3.2.3	X
easat-1097	121	2	.	.	X
easat-1097	121	3	support	support	NOUN
easat-1097	121	4	vector	vector	NOUN
easat-1097	121	5	machines	machine	NOUN
easat-1097	121	6	(	(	PUNCT
easat-1097	121	7	svm	svm	PROPN
easat-1097	121	8	)	)	PUNCT
easat-1097	121	9	support	support	NOUN
easat-1097	121	10	vector	vector	NOUN
easat-1097	121	11	machines	machine	NOUN
easat-1097	121	12	(	(	PUNCT
easat-1097	121	13	svm	svm	PROPN
easat-1097	121	14	)	)	PUNCT
easat-1097	121	15	are	be	AUX
easat-1097	121	16	one	one	NUM
easat-1097	121	17	of	of	ADP
easat-1097	121	18	the	the	DET
easat-1097	121	19	powerful	powerful	ADJ
easat-1097	121	20	algorithms	algorithm	NOUN
easat-1097	121	21	of	of	ADP
easat-1097	121	22	machine	machine	NOUN
easat-1097	121	23	learning	learning	NOUN
easat-1097	121	24	used	use	VERB
easat-1097	121	25	for	for	ADP
easat-1097	121	26	both	both	CCONJ
easat-1097	121	27	classification	classification	NOUN
easat-1097	121	28	and	and	CCONJ
easat-1097	121	29	regression	regression	NOUN
easat-1097	121	30	analysis	analysis	NOUN
easat-1097	121	31	.	.	PUNCT
easat-1097	122	1	svms	svms	NOUN
easat-1097	122	2	operate	operate	VERB
easat-1097	122	3	by	by	ADP
easat-1097	122	4	determining	determine	VERB
easat-1097	122	5	the	the	DET
easat-1097	122	6	best	good	ADJ
easat-1097	122	7	hyperplane	hyperplane	NOUN
easat-1097	122	8	for	for	ADP
easat-1097	122	9	predicting	predict	VERB
easat-1097	122	10	a	a	DET
easat-1097	122	11	continuous	continuous	ADJ
easat-1097	122	12	target	target	NOUN
easat-1097	122	13	variable	variable	NOUN
easat-1097	122	14	or	or	CCONJ
easat-1097	122	15	by	by	ADP
easat-1097	122	16	dividing	divide	VERB
easat-1097	122	17	the	the	DET
easat-1097	122	18	data	datum	NOUN
easat-1097	122	19	into	into	ADP
easat-1097	122	20	different	different	ADJ
easat-1097	122	21	categories	category	NOUN
easat-1097	122	22	.	.	PUNCT
easat-1097	123	1	they	they	PRON
easat-1097	123	2	are	be	AUX
easat-1097	123	3	also	also	ADV
easat-1097	123	4	robust	robust	ADJ
easat-1097	123	5	to	to	ADP
easat-1097	123	6	overfitting	overfitte	VERB
easat-1097	123	7	and	and	CCONJ
easat-1097	123	8	can	can	AUX
easat-1097	123	9	handle	handle	VERB
easat-1097	123	10	noisy	noisy	ADJ
easat-1097	123	11	or	or	CCONJ
easat-1097	123	12	incomplete	incomplete	ADJ
easat-1097	123	13	data	datum	NOUN
easat-1097	123	14	.	.	PUNCT
easat-1097	124	1	svm	svm	PROPN
easat-1097	124	2	has	have	AUX
easat-1097	124	3	been	be	AUX
easat-1097	124	4	used	use	VERB
easat-1097	124	5	to	to	PART
easat-1097	124	6	predict	predict	VERB
easat-1097	124	7	co2	co2	NOUN
easat-1097	124	8	emissions	emission	NOUN
easat-1097	124	9	in	in	ADP
easat-1097	124	10	power	power	NOUN
easat-1097	124	11	plants	plant	NOUN
easat-1097	124	12	,	,	PUNCT
easat-1097	124	13	forecast	forecast	NOUN
easat-1097	124	14	co2	co2	NOUN
easat-1097	124	15	emissions	emission	NOUN
easat-1097	124	16	in	in	ADP
easat-1097	124	17	many	many	ADJ
easat-1097	124	18	studies	study	NOUN
easat-1097	124	19	and	and	CCONJ
easat-1097	124	20	perform	perform	VERB
easat-1097	124	21	other	other	ADJ
easat-1097	124	22	related	related	ADJ
easat-1097	124	23	tasks	task	NOUN
easat-1097	124	24	.	.	PUNCT
easat-1097	125	1	ℎ𝜃(𝑥	ℎ𝜃(𝑥	NOUN
easat-1097	125	2	)	)	PUNCT
easat-1097	126	1	=	=	PUNCT
easat-1097	127	1	𝑤1𝑥1	𝑤1𝑥1	ADP
easat-1097	127	2	+	+	X
easat-1097	127	3	𝑤2𝑥2	𝑤2𝑥2	X
easat-1097	127	4	+	+	NUM
easat-1097	127	5	⋯+	⋯+	NOUN
easat-1097	127	6	𝑤𝑛𝑥𝑛	𝑤𝑛𝑥𝑛	NOUN
easat-1097	127	7	+	+	CCONJ
easat-1097	127	8	𝑏	𝑏	PROPN
easat-1097	127	9	(	(	PUNCT
easat-1097	127	10	5	5	NUM
easat-1097	127	11	)	)	PUNCT
easat-1097	127	12	=	=	PUNCT
easat-1097	128	1	𝑤𝑇𝑥	𝑤𝑇𝑥	X
easat-1097	128	2	+	+	NOUN
easat-1097	129	1	𝑏	𝑏	ADP
easat-1097	129	2	where	where	SCONJ
easat-1097	129	3	xi	xi	PROPN
easat-1097	129	4	∈	∈	PROPN
easat-1097	129	5	𝑅	𝑅	PROPN
easat-1097	129	6	,	,	PUNCT
easat-1097	129	7	r	r	NOUN
easat-1097	129	8	is	be	AUX
easat-1097	129	9	the	the	DET
easat-1097	129	10	domain	domain	NOUN
easat-1097	129	11	of	of	ADP
easat-1097	129	12	real	real	ADJ
easat-1097	129	13	numbers	number	NOUN
easat-1097	129	14	.	.	PUNCT
easat-1097	130	1	wi	wi	PROPN
easat-1097	130	2	is	be	AUX
easat-1097	130	3	the	the	DET
easat-1097	130	4	n	n	ADV
easat-1097	130	5	-	-	PUNCT
easat-1097	130	6	dimensional	dimensional	ADJ
easat-1097	130	7	weight	weight	NOUN
easat-1097	130	8	vector	vector	NOUN
easat-1097	130	9	.	.	PUNCT
easat-1097	131	1	b	b	PROPN
easat-1097	131	2	is	be	AUX
easat-1097	131	3	the	the	DET
easat-1097	131	4	bias	bias	NOUN
easat-1097	131	5	value	value	NOUN
easat-1097	131	6	.	.	PUNCT
easat-1097	132	1	6	6	NUM
easat-1097	132	2	edelweiss	edelweiss	PROPN
easat-1097	132	3	applied	apply	VERB
easat-1097	132	4	science	science	NOUN
easat-1097	132	5	and	and	CCONJ
easat-1097	132	6	technology	technology	NOUN
easat-1097	132	7	issn	issn	PROPN
easat-1097	132	8	:	:	PUNCT
easat-1097	132	9	2576	2576	NUM
easat-1097	132	10	-	-	SYM
easat-1097	132	11	8484	8484	NUM
easat-1097	132	12	vol	vol	NOUN
easat-1097	132	13	.	.	PROPN
easat-1097	132	14	8	8	NUM
easat-1097	132	15	,	,	PUNCT
easat-1097	132	16	no	no	INTJ
easat-1097	132	17	.	.	NOUN
easat-1097	133	1	4	4	NUM
easat-1097	133	2	:	:	SYM
easat-1097	133	3	1	1	NUM
easat-1097	133	4	-	-	SYM
easat-1097	133	5	11	11	NUM
easat-1097	133	6	,	,	PUNCT
easat-1097	133	7	2024	2024	NUM
easat-1097	133	8	doi	doi	NOUN
easat-1097	133	9	:	:	PUNCT
easat-1097	133	10	10.55214/25768484.v8i4.1097	10.55214/25768484.v8i4.1097	NUM
easat-1097	133	11	©	©	NOUN
easat-1097	133	12	2024	2024	NUM
easat-1097	133	13	by	by	ADP
easat-1097	133	14	the	the	DET
easat-1097	133	15	authors	author	NOUN
easat-1097	133	16	;	;	PUNCT
easat-1097	133	17	licensee	licensee	PROPN
easat-1097	133	18	learning	learn	VERB
easat-1097	133	19	gate	gate	NOUN
easat-1097	133	20	finding	find	VERB
easat-1097	133	21	the	the	DET
easat-1097	133	22	optimal	optimal	ADJ
easat-1097	133	23	hyperplane	hyperplane	NOUN
easat-1097	133	24	is	be	AUX
easat-1097	133	25	to	to	PART
easat-1097	133	26	find	find	VERB
easat-1097	133	27	the	the	DET
easat-1097	133	28	optimal	optimal	ADJ
easat-1097	133	29	w	w	NOUN
easat-1097	133	30	and	and	CCONJ
easat-1097	133	31	b	b	NOUN
easat-1097	133	32	and	and	CCONJ
easat-1097	133	33	it	it	PRON
easat-1097	133	34	can	can	AUX
easat-1097	133	35	be	be	AUX
easat-1097	133	36	expressed	express	VERB
easat-1097	133	37	as	as	SCONJ
easat-1097	133	38	follows	follow	VERB
easat-1097	133	39	:	:	PUNCT
easat-1097	133	40	1	1	NUM
easat-1097	133	41	2	2	NUM
easat-1097	133	42	‖𝑤‖2	‖𝑤‖2	NOUN
easat-1097	133	43	+	+	CCONJ
easat-1097	133	44	𝐶	𝐶	PROPN
easat-1097	133	45	∑	∑	PUNCT
easat-1097	133	46	𝜉𝑖	𝜉𝑖	NOUN
easat-1097	133	47	𝑛	𝑛	PRON
easat-1097	133	48	𝑖=1	𝑖=1	PROPN
easat-1097	133	49	(	(	PUNCT
easat-1097	133	50	6	6	NUM
easat-1097	133	51	)	)	PUNCT
easat-1097	133	52	𝜉𝑖	𝜉𝑖	ADP
easat-1097	133	53	≥	≥	NOUN
easat-1097	133	54	0	0	NUM
easat-1097	133	55	𝑦𝑖(	𝑦𝑖(	NUM
easat-1097	133	56	�	�	PROPN
easat-1097	133	57	⃗⃗	⃗⃗	PROPN
easat-1097	133	58	�	�	PROPN
easat-1097	133	59	𝑥	𝑥	PROPN
easat-1097	133	60	𝑖	𝑖	PROPN
easat-1097	134	1	+	+	CCONJ
easat-1097	134	2	𝑏	𝑏	NOUN
easat-1097	134	3	)	)	PUNCT
easat-1097	134	4	≥	≥	NOUN
easat-1097	135	1	1	1	NUM
easat-1097	135	2	−	−	NOUN
easat-1097	136	1	𝜉𝑖	𝜉𝑖	X
easat-1097	136	2	(	(	PUNCT
easat-1097	136	3	7	7	X
easat-1097	136	4	)	)	PUNCT
easat-1097	136	5	−𝜉𝑖	−𝜉𝑖	NOUN
easat-1097	136	6	≤	≤	NUM
easat-1097	136	7	0	0	NUM
easat-1097	136	8	1	1	NUM
easat-1097	136	9	−	−	NOUN
easat-1097	136	10	𝜉𝑖	𝜉𝑖	ADP
easat-1097	136	11	−	−	PRON
easat-1097	136	12	𝑦𝑖(	𝑦𝑖(	SYM
easat-1097	136	13	�	�	PROPN
easat-1097	136	14	⃗⃗	⃗⃗	PROPN
easat-1097	136	15	�	�	PROPN
easat-1097	136	16	𝑥	𝑥	PROPN
easat-1097	136	17	𝑖	𝑖	PROPN
easat-1097	137	1	+	+	CCONJ
easat-1097	137	2	𝑏	𝑏	NOUN
easat-1097	137	3	)	)	PUNCT
easat-1097	137	4	≤	≤	NUM
easat-1097	137	5	0	0	NUM
easat-1097	137	6	(	(	PUNCT
easat-1097	137	7	8)	8)	NUM
easat-1097	137	8	according	accord	VERB
easat-1097	137	9	to	to	ADP
easat-1097	137	10	the	the	DET
easat-1097	137	11	lagrange	lagrange	NOUN
easat-1097	137	12	function	function	NOUN
easat-1097	137	13	[	[	X
easat-1097	137	14	18	18	NUM
easat-1097	137	15	]	]	PUNCT
easat-1097	137	16	,	,	PUNCT
easat-1097	137	17	it	it	PRON
easat-1097	137	18	can	can	AUX
easat-1097	137	19	be	be	AUX
easat-1097	137	20	minimized	minimize	VERB
easat-1097	137	21	as	as	SCONJ
easat-1097	137	22	follows	follow	VERB
easat-1097	137	23	:	:	PUNCT
easat-1097	137	24	constraint	constraint	NOUN
easat-1097	137	25	:	:	PUNCT
easat-1097	137	26	gi(x	gi(x	X
easat-1097	137	27	)	)	PUNCT
easat-1097	138	1	=	=	PUNCT
easat-1097	138	2	0	0	NUM
easat-1097	138	3	;	;	PUNCT
easat-1097	138	4	i	i	NOUN
easat-1097	138	5	=	=	NOUN
easat-1097	138	6	1	1	NUM
easat-1097	138	7	,	,	PUNCT
easat-1097	138	8	2	2	NUM
easat-1097	138	9	.	.	PUNCT
easat-1097	138	10	.	.	PUNCT
easat-1097	138	11	.	.	PUNCT
easat-1097	139	1	,	,	PUNCT
easat-1097	139	2	n	n	PRON
easat-1097	139	3	l(x	l(x	PROPN
easat-1097	139	4	,	,	PUNCT
easat-1097	139	5	λ	λ	NOUN
easat-1097	139	6	)	)	PUNCT
easat-1097	139	7	=	=	SYM
easat-1097	139	8	1	1	NUM
easat-1097	139	9	2	2	NUM
easat-1097	139	10	‖𝑤‖2	‖𝑤‖2	NOUN
easat-1097	139	11	+	+	CCONJ
easat-1097	139	12	𝐶	𝐶	PROPN
easat-1097	139	13	∑	∑	PUNCT
easat-1097	139	14	𝜉𝑖	𝜉𝑖	NOUN
easat-1097	139	15	𝑛	𝑛	PRON
easat-1097	139	16	𝑖=1	𝑖=1	PUNCT
easat-1097	139	17	−	−	NOUN
easat-1097	139	18	∑	∑	PUNCT
easat-1097	139	19	𝜆𝑖	𝜆𝑖	VERB
easat-1097	139	20	𝑛	𝑛	PRON
easat-1097	139	21	𝑖=1	𝑖=1	PROPN
easat-1097	140	1	[	[	X
easat-1097	140	2	𝑦𝑖(𝑤	𝑦𝑖(𝑤	NUM
easat-1097	140	3	𝑇𝑥𝑖	𝑇𝑥𝑖	PROPN
easat-1097	140	4	+	+	PUNCT
easat-1097	140	5	𝑏	𝑏	NOUN
easat-1097	140	6	)	)	PUNCT
easat-1097	140	7	−	−	PROPN
easat-1097	140	8	1	1	NUM
easat-1097	140	9	−	−	PROPN
easat-1097	140	10	𝜉𝑖	𝜉𝑖	PROPN
easat-1097	140	11	)	)	PUNCT
easat-1097	140	12	]	]	PUNCT
easat-1097	140	13	(	(	PUNCT
easat-1097	140	14	9	9	X
easat-1097	140	15	)	)	PUNCT
easat-1097	140	16	where	where	SCONJ
easat-1097	140	17	xi	xi	PROPN
easat-1097	140	18	is	be	AUX
easat-1097	140	19	the	the	DET
easat-1097	140	20	ith	ith	PROPN
easat-1097	140	21	data	data	NOUN
easat-1097	140	22	point	point	NOUN
easat-1097	140	23	in	in	ADP
easat-1097	140	24	the	the	DET
easat-1097	140	25	training	training	NOUN
easat-1097	140	26	set	set	NOUN
easat-1097	140	27	.	.	PUNCT
easat-1097	141	1	yi	yi	PROPN
easat-1097	141	2	is	be	AUX
easat-1097	141	3	the	the	DET
easat-1097	141	4	corresponding	corresponding	ADJ
easat-1097	141	5	target	target	NOUN
easat-1097	141	6	value	value	NOUN
easat-1097	141	7	.	.	PUNCT
easat-1097	142	1	w	w	NOUN
easat-1097	142	2	is	be	AUX
easat-1097	142	3	the	the	DET
easat-1097	142	4	weight	weight	NOUN
easat-1097	142	5	vector	vector	NOUN
easat-1097	142	6	that	that	PRON
easat-1097	142	7	defines	define	VERB
easat-1097	142	8	the	the	DET
easat-1097	142	9	separating	separate	VERB
easat-1097	142	10	hyperplane	hyperplane	NOUN
easat-1097	142	11	.	.	PUNCT
easat-1097	143	1	b	b	PROPN
easat-1097	143	2	is	be	AUX
easat-1097	143	3	the	the	DET
easat-1097	143	4	bias	bias	NOUN
easat-1097	143	5	term	term	NOUN
easat-1097	143	6	that	that	PRON
easat-1097	143	7	shifts	shift	VERB
easat-1097	143	8	the	the	DET
easat-1097	143	9	separating	separate	VERB
easat-1097	143	10	hyperplane	hyperplane	NOUN
easat-1097	143	11	.	.	PUNCT
easat-1097	144	1	ξi	ξi	NOUN
easat-1097	144	2	is	be	AUX
easat-1097	144	3	the	the	DET
easat-1097	144	4	slack	slack	NOUN
easat-1097	144	5	variable	variable	NOUN
easat-1097	144	6	that	that	PRON
easat-1097	144	7	allows	allow	VERB
easat-1097	144	8	for	for	ADP
easat-1097	144	9	misclassification	misclassification	NOUN
easat-1097	144	10	errors	error	NOUN
easat-1097	144	11	.	.	PUNCT
easat-1097	145	1	λi	λi	INTJ
easat-1097	145	2	is	be	AUX
easat-1097	145	3	the	the	DET
easat-1097	145	4	lagrange	lagrange	NOUN
easat-1097	145	5	multiplier	multiplier	ADV
easat-1097	145	6	that	that	PRON
easat-1097	145	7	enforces	enforce	VERB
easat-1097	145	8	the	the	DET
easat-1097	145	9	constraints	constraint	NOUN
easat-1097	145	10	.	.	PUNCT
easat-1097	146	1	c	c	PROPN
easat-1097	146	2	is	be	AUX
easat-1097	146	3	the	the	DET
easat-1097	146	4	penalty	penalty	NOUN
easat-1097	146	5	parameter	parameter	NOUN
easat-1097	146	6	that	that	PRON
easat-1097	146	7	controls	control	VERB
easat-1097	146	8	the	the	DET
easat-1097	146	9	trade	trade	NOUN
easat-1097	146	10	-	-	PUNCT
easat-1097	146	11	off	off	NOUN
easat-1097	146	12	.	.	PUNCT
easat-1097	147	1	3.2.4	3.2.4	NUM
easat-1097	147	2	.	.	X
easat-1097	147	3	random	random	ADJ
easat-1097	147	4	forest	forest	NOUN
easat-1097	147	5	random	random	ADJ
easat-1097	147	6	forest	forest	NOUN
easat-1097	147	7	is	be	AUX
easat-1097	147	8	a	a	DET
easat-1097	147	9	supervised	supervised	ADJ
easat-1097	147	10	learning	learning	NOUN
easat-1097	147	11	technique	technique	NOUN
easat-1097	147	12	that	that	PRON
easat-1097	147	13	combines	combine	VERB
easat-1097	147	14	several	several	ADJ
easat-1097	147	15	decision	decision	NOUN
easat-1097	147	16	trees	tree	NOUN
easat-1097	147	17	to	to	PART
easat-1097	147	18	improve	improve	VERB
easat-1097	147	19	prediction	prediction	NOUN
easat-1097	147	20	accuracy	accuracy	NOUN
easat-1097	147	21	based	base	VERB
easat-1097	147	22	on	on	ADP
easat-1097	147	23	the	the	DET
easat-1097	147	24	ensemble	ensemble	ADJ
easat-1097	147	25	learning	learning	NOUN
easat-1097	147	26	method	method	NOUN
easat-1097	147	27	.	.	PUNCT
easat-1097	148	1	it	it	PRON
easat-1097	148	2	can	can	AUX
easat-1097	148	3	handle	handle	VERB
easat-1097	148	4	high	high	ADJ
easat-1097	148	5	-	-	PUNCT
easat-1097	148	6	dimensional	dimensional	ADJ
easat-1097	148	7	input	input	NOUN
easat-1097	148	8	data	datum	NOUN
easat-1097	148	9	and	and	CCONJ
easat-1097	148	10	is	be	AUX
easat-1097	148	11	resilient	resilient	ADJ
easat-1097	148	12	to	to	ADP
easat-1097	148	13	noisy	noisy	ADJ
easat-1097	148	14	data	datum	NOUN
easat-1097	148	15	[	[	X
easat-1097	148	16	19	19	NUM
easat-1097	148	17	]	]	PUNCT
easat-1097	148	18	.	.	PUNCT
easat-1097	149	1	ensemble	ensemble	ADJ
easat-1097	149	2	learning	learning	NOUN
easat-1097	149	3	is	be	AUX
easat-1097	149	4	a	a	DET
easat-1097	149	5	strategy	strategy	NOUN
easat-1097	149	6	that	that	PRON
easat-1097	149	7	aggregates	aggregate	VERB
easat-1097	149	8	predictions	prediction	NOUN
easat-1097	149	9	from	from	ADP
easat-1097	149	10	multiple	multiple	ADJ
easat-1097	149	11	machine	machine	NOUN
easat-1097	149	12	learning	learn	VERB
easat-1097	149	13	algorithms	algorithm	NOUN
easat-1097	149	14	to	to	PART
easat-1097	149	15	address	address	VERB
easat-1097	149	16	a	a	DET
easat-1097	149	17	specific	specific	ADJ
easat-1097	149	18	problem	problem	NOUN
easat-1097	149	19	.	.	PUNCT
easat-1097	150	1	boosting	boost	VERB
easat-1097	150	2	,	,	PUNCT
easat-1097	150	3	bootstrap	bootstrap	NOUN
easat-1097	150	4	aggregating	aggregating	NOUN
easat-1097	150	5	and	and	CCONJ
easat-1097	150	6	stacking	stacking	NOUN
easat-1097	150	7	are	be	AUX
easat-1097	150	8	some	some	DET
easat-1097	150	9	examples	example	NOUN
easat-1097	150	10	of	of	ADP
easat-1097	150	11	ensemble	ensemble	ADJ
easat-1097	150	12	learning	learning	NOUN
easat-1097	150	13	types	type	NOUN
easat-1097	150	14	[	[	X
easat-1097	150	15	20	20	NUM
easat-1097	150	16	,	,	PUNCT
easat-1097	150	17	21	21	NUM
easat-1097	150	18	]	]	PUNCT
easat-1097	150	19	.	.	PUNCT
easat-1097	151	1	conducting	conduct	VERB
easat-1097	151	2	predictions	prediction	NOUN
easat-1097	151	3	using	use	VERB
easat-1097	151	4	a	a	DET
easat-1097	151	5	random	random	ADJ
easat-1097	151	6	forest	forest	NOUN
easat-1097	151	7	generally	generally	ADV
easat-1097	151	8	requires	require	VERB
easat-1097	151	9	the	the	DET
easat-1097	151	10	aggregation	aggregation	NOUN
easat-1097	151	11	of	of	ADP
easat-1097	151	12	predictions	prediction	NOUN
easat-1097	151	13	made	make	VERB
easat-1097	151	14	by	by	ADP
easat-1097	151	15	each	each	DET
easat-1097	151	16	individual	individual	ADJ
easat-1097	151	17	tree	tree	NOUN
easat-1097	151	18	to	to	PART
easat-1097	151	19	derive	derive	VERB
easat-1097	151	20	a	a	DET
easat-1097	151	21	conclusive	conclusive	ADJ
easat-1097	151	22	prediction	prediction	NOUN
easat-1097	151	23	as	as	SCONJ
easat-1097	151	24	shown	show	VERB
easat-1097	151	25	in	in	ADP
easat-1097	151	26	figure	figure	NOUN
easat-1097	151	27	2	2	NUM
easat-1097	151	28	.	.	PUNCT
easat-1097	152	1	each	each	DET
easat-1097	152	2	decision	decision	NOUN
easat-1097	152	3	tree	tree	NOUN
easat-1097	152	4	within	within	ADP
easat-1097	152	5	the	the	DET
easat-1097	152	6	random	random	ADJ
easat-1097	152	7	forest	forest	NOUN
easat-1097	152	8	algorithm	algorithm	NOUN
easat-1097	152	9	autonomously	autonomously	ADV
easat-1097	152	10	generates	generate	VERB
easat-1097	152	11	a	a	DET
easat-1097	152	12	prediction	prediction	NOUN
easat-1097	152	13	by	by	ADP
easat-1097	152	14	analyzing	analyze	VERB
easat-1097	152	15	the	the	DET
easat-1097	152	16	input	input	NOUN
easat-1097	152	17	features	feature	NOUN
easat-1097	152	18	.	.	PUNCT
easat-1097	153	1	once	once	ADV
easat-1097	153	2	all	all	PRON
easat-1097	153	3	of	of	ADP
easat-1097	153	4	the	the	DET
easat-1097	153	5	trees	tree	NOUN
easat-1097	153	6	have	have	AUX
easat-1097	153	7	generated	generate	VERB
easat-1097	153	8	their	their	PRON
easat-1097	153	9	forecasts	forecast	NOUN
easat-1097	153	10	,	,	PUNCT
easat-1097	153	11	the	the	DET
easat-1097	153	12	ultimate	ultimate	ADJ
easat-1097	153	13	forecast	forecast	NOUN
easat-1097	153	14	for	for	ADP
easat-1097	153	15	a	a	DET
easat-1097	153	16	specific	specific	ADJ
easat-1097	153	17	input	input	NOUN
easat-1097	153	18	is	be	AUX
easat-1097	153	19	derived	derive	VERB
easat-1097	153	20	by	by	ADP
easat-1097	153	21	combining	combine	VERB
easat-1097	153	22	the	the	DET
easat-1097	153	23	forecasts	forecast	NOUN
easat-1097	153	24	from	from	ADP
easat-1097	153	25	all	all	PRON
easat-1097	153	26	of	of	ADP
easat-1097	153	27	the	the	DET
easat-1097	153	28	trees	tree	NOUN
easat-1097	153	29	.	.	PUNCT
easat-1097	154	1	random	random	ADJ
easat-1097	154	2	forests	forest	NOUN
easat-1097	154	3	have	have	VERB
easat-1097	154	4	the	the	DET
easat-1097	154	5	capability	capability	NOUN
easat-1097	154	6	to	to	PART
easat-1097	154	7	generate	generate	VERB
easat-1097	154	8	predictions	prediction	NOUN
easat-1097	154	9	that	that	PRON
easat-1097	154	10	are	be	AUX
easat-1097	154	11	not	not	PART
easat-1097	154	12	only	only	ADV
easat-1097	154	13	more	more	ADV
easat-1097	154	14	precise	precise	ADJ
easat-1097	154	15	and	and	CCONJ
easat-1097	154	16	consistent	consistent	ADJ
easat-1097	154	17	than	than	ADP
easat-1097	154	18	those	those	PRON
easat-1097	154	19	produced	produce	VERB
easat-1097	154	20	by	by	ADP
easat-1097	154	21	singular	singular	ADJ
easat-1097	154	22	decision	decision	NOUN
easat-1097	154	23	trees	tree	NOUN
easat-1097	154	24	but	but	CCONJ
easat-1097	154	25	also	also	ADV
easat-1097	154	26	to	to	PART
easat-1097	154	27	alleviate	alleviate	VERB
easat-1097	154	28	the	the	DET
easat-1097	154	29	issue	issue	NOUN
easat-1097	154	30	of	of	ADP
easat-1097	154	31	overfitting	overfitte	VERB
easat-1097	154	32	by	by	ADP
easat-1097	154	33	combining	combine	VERB
easat-1097	154	34	the	the	DET
easat-1097	154	35	forecasts	forecast	NOUN
easat-1097	154	36	generated	generate	VERB
easat-1097	154	37	by	by	ADP
easat-1097	154	38	numerous	numerous	ADJ
easat-1097	154	39	trees	tree	NOUN
easat-1097	154	40	.	.	PUNCT
easat-1097	155	1	this	this	DET
easat-1097	155	2	attribute	attribute	NOUN
easat-1097	155	3	stands	stand	VERB
easat-1097	155	4	out	out	ADP
easat-1097	155	5	as	as	ADP
easat-1097	155	6	a	a	DET
easat-1097	155	7	fundamental	fundamental	ADJ
easat-1097	155	8	advantage	advantage	NOUN
easat-1097	155	9	of	of	ADP
easat-1097	155	10	the	the	DET
easat-1097	155	11	random	random	ADJ
easat-1097	155	12	forest	forest	NOUN
easat-1097	155	13	algorithm	algorithm	NOUN
easat-1097	155	14	.	.	PUNCT
easat-1097	156	1	7	7	NUM
easat-1097	156	2	edelweiss	edelweiss	PROPN
easat-1097	156	3	applied	apply	VERB
easat-1097	156	4	science	science	NOUN
easat-1097	156	5	and	and	CCONJ
easat-1097	156	6	technology	technology	NOUN
easat-1097	156	7	issn	issn	PROPN
easat-1097	156	8	:	:	PUNCT
easat-1097	156	9	2576	2576	NUM
easat-1097	156	10	-	-	SYM
easat-1097	156	11	8484	8484	NUM
easat-1097	156	12	vol	vol	NOUN
easat-1097	156	13	.	.	PROPN
easat-1097	156	14	8	8	NUM
easat-1097	156	15	,	,	PUNCT
easat-1097	156	16	no	no	INTJ
easat-1097	156	17	.	.	NOUN
easat-1097	157	1	4	4	NUM
easat-1097	157	2	:	:	SYM
easat-1097	157	3	1	1	NUM
easat-1097	157	4	-	-	SYM
easat-1097	157	5	11	11	NUM
easat-1097	157	6	,	,	PUNCT
easat-1097	157	7	2024	2024	NUM
easat-1097	157	8	doi	doi	NOUN
easat-1097	157	9	:	:	PUNCT
easat-1097	157	10	10.55214/25768484.v8i4.1097	10.55214/25768484.v8i4.1097	NUM
easat-1097	157	11	©	©	NOUN
easat-1097	157	12	2024	2024	NUM
easat-1097	157	13	by	by	ADP
easat-1097	157	14	the	the	DET
easat-1097	157	15	authors	author	NOUN
easat-1097	157	16	;	;	PUNCT
easat-1097	157	17	licensee	licensee	PROPN
easat-1097	157	18	learning	learn	VERB
easat-1097	157	19	gate	gate	NOUN
easat-1097	157	20	figure	figure	NOUN
easat-1097	157	21	2	2	NUM
easat-1097	157	22	.	.	PUNCT
easat-1097	158	1	the	the	DET
easat-1097	158	2	structure	structure	NOUN
easat-1097	158	3	of	of	ADP
easat-1097	158	4	a	a	DET
easat-1097	158	5	random	random	ADJ
easat-1097	158	6	forest	forest	NOUN
easat-1097	158	7	.	.	PUNCT
easat-1097	159	1	random	random	ADJ
easat-1097	159	2	forest	forest	NOUN
easat-1097	159	3	has	have	AUX
easat-1097	159	4	been	be	AUX
easat-1097	159	5	used	use	VERB
easat-1097	159	6	to	to	PART
easat-1097	159	7	predict	predict	VERB
easat-1097	159	8	co2	co2	NOUN
easat-1097	159	9	emissions	emission	NOUN
easat-1097	159	10	in	in	ADP
easat-1097	159	11	power	power	NOUN
easat-1097	159	12	plants	plant	NOUN
easat-1097	159	13	,	,	PUNCT
easat-1097	159	14	forecast	forecast	NOUN
easat-1097	159	15	co2	co2	NOUN
easat-1097	159	16	emissions	emission	NOUN
easat-1097	159	17	and	and	CCONJ
easat-1097	159	18	perform	perform	VERB
easat-1097	159	19	other	other	ADJ
easat-1097	159	20	related	related	ADJ
easat-1097	159	21	tasks	task	NOUN
easat-1097	159	22	.	.	PUNCT
easat-1097	160	1	3.2.5	3.2.5	X
easat-1097	160	2	.	.	PUNCT
easat-1097	161	1	mean	mean	VERB
easat-1097	161	2	absolute	absolute	ADJ
easat-1097	161	3	error	error	NOUN
easat-1097	161	4	(	(	PUNCT
easat-1097	161	5	mae	mae	PROPN
easat-1097	161	6	)	)	PUNCT
easat-1097	161	7	the	the	DET
easat-1097	161	8	mean	mean	ADJ
easat-1097	161	9	absolute	absolute	ADJ
easat-1097	161	10	error	error	NOUN
easat-1097	161	11	(	(	PUNCT
easat-1097	161	12	mae	mae	PROPN
easat-1097	161	13	)	)	PUNCT
easat-1097	161	14	is	be	AUX
easat-1097	161	15	a	a	DET
easat-1097	161	16	commonly	commonly	ADV
easat-1097	161	17	used	use	VERB
easat-1097	161	18	metric	metric	NOUN
easat-1097	161	19	for	for	ADP
easat-1097	161	20	evaluating	evaluate	VERB
easat-1097	161	21	the	the	DET
easat-1097	161	22	performance	performance	NOUN
easat-1097	161	23	of	of	ADP
easat-1097	161	24	machine	machine	NOUN
easat-1097	161	25	learning	learning	NOUN
easat-1097	161	26	models	model	NOUN
easat-1097	161	27	including	include	VERB
easat-1097	161	28	those	those	PRON
easat-1097	161	29	used	use	VERB
easat-1097	161	30	to	to	PART
easat-1097	161	31	predict	predict	VERB
easat-1097	161	32	co2	co2	NOUN
easat-1097	161	33	emissions	emission	NOUN
easat-1097	161	34	.	.	PUNCT
easat-1097	162	1	the	the	DET
easat-1097	162	2	mae	mae	PROPN
easat-1097	162	3	is	be	AUX
easat-1097	162	4	calculated	calculate	VERB
easat-1097	162	5	as	as	SCONJ
easat-1097	162	6	follows	follow	VERB
easat-1097	162	7	:	:	PUNCT
easat-1097	162	8	𝑀𝐴𝐸	𝑀𝐴𝐸	PROPN
easat-1097	162	9	=	=	SYM
easat-1097	162	10	1	1	NUM
easat-1097	162	11	𝑛	𝑛	PROPN
easat-1097	162	12	∑	∑	ADP
easat-1097	162	13	|𝑦	|𝑦	PROPN
easat-1097	162	14	�	�	PROPN
easat-1097	162	15	̂	̂	PROPN
easat-1097	162	16	�	�	NOUN
easat-1097	162	17	−	−	ADP
easat-1097	162	18	𝑦𝑖|	𝑦𝑖|	NOUN
easat-1097	162	19	𝑛	𝑛	DET
easat-1097	162	20	𝑡=1	𝑡=1	PROPN
easat-1097	162	21	(	(	PUNCT
easat-1097	162	22	10	10	NUM
easat-1097	162	23	)	)	PUNCT
easat-1097	162	24	where	where	SCONJ
easat-1097	162	25	n	n	PRON
easat-1097	162	26	is	be	AUX
easat-1097	162	27	the	the	DET
easat-1097	162	28	number	number	NOUN
easat-1097	162	29	of	of	ADP
easat-1097	162	30	observations	observation	NOUN
easat-1097	162	31	in	in	ADP
easat-1097	162	32	the	the	DET
easat-1097	162	33	dataset	dataset	NOUN
easat-1097	162	34	.	.	PUNCT
easat-1097	163	1	yi	yi	PROPN
easat-1097	163	2	is	be	AUX
easat-1097	163	3	the	the	DET
easat-1097	163	4	actual	actual	ADJ
easat-1097	163	5	value	value	NOUN
easat-1097	163	6	of	of	ADP
easat-1097	163	7	the	the	DET
easat-1097	163	8	target	target	NOUN
easat-1097	163	9	variable	variable	NOUN
easat-1097	163	10	for	for	ADP
easat-1097	163	11	the	the	DET
easat-1097	163	12	ith	ith	PROPN
easat-1097	163	13	observation	observation	NOUN
easat-1097	163	14	.	.	PUNCT
easat-1097	164	1	ŷi	ŷi	PROPN
easat-1097	164	2	is	be	AUX
easat-1097	164	3	the	the	DET
easat-1097	164	4	predicted	predict	VERB
easat-1097	164	5	value	value	NOUN
easat-1097	164	6	of	of	ADP
easat-1097	164	7	the	the	DET
easat-1097	164	8	target	target	NOUN
easat-1097	164	9	variable	variable	NOUN
easat-1097	164	10	for	for	ADP
easat-1097	164	11	the	the	DET
easat-1097	164	12	ith	ith	PROPN
easat-1097	164	13	observation	observation	NOUN
easat-1097	164	14	.	.	PUNCT
easat-1097	165	1	the	the	DET
easat-1097	165	2	mae	mae	PROPN
easat-1097	165	3	is	be	AUX
easat-1097	165	4	computed	compute	VERB
easat-1097	165	5	by	by	ADP
easat-1097	165	6	adding	add	VERB
easat-1097	165	7	up	up	ADP
easat-1097	165	8	all	all	PRON
easat-1097	165	9	of	of	ADP
easat-1097	165	10	the	the	DET
easat-1097	165	11	individual	individual	ADJ
easat-1097	165	12	observations	observation	NOUN
easat-1097	165	13	'	'	PART
easat-1097	165	14	absolute	absolute	ADJ
easat-1097	165	15	differences	difference	NOUN
easat-1097	165	16	between	between	ADP
easat-1097	165	17	the	the	DET
easat-1097	165	18	predicted	predict	VERB
easat-1097	165	19	and	and	CCONJ
easat-1097	165	20	actual	actual	ADJ
easat-1097	165	21	values	value	NOUN
easat-1097	165	22	dividing	divide	VERB
easat-1097	165	23	the	the	DET
easat-1097	165	24	result	result	NOUN
easat-1097	165	25	by	by	ADP
easat-1097	165	26	the	the	DET
easat-1097	165	27	total	total	ADJ
easat-1097	165	28	number	number	NOUN
easat-1097	165	29	of	of	ADP
easat-1097	165	30	observations	observation	NOUN
easat-1097	165	31	and	and	CCONJ
easat-1097	165	32	then	then	ADV
easat-1097	165	33	calculating	calculate	VERB
easat-1097	165	34	the	the	DET
easat-1097	165	35	mean	mean	ADJ
easat-1097	165	36	absolute	absolute	ADJ
easat-1097	165	37	error	error	NOUN
easat-1097	165	38	.	.	PUNCT
easat-1097	166	1	the	the	DET
easat-1097	166	2	mae	mae	PROPN
easat-1097	166	3	would	would	AUX
easat-1097	166	4	show	show	VERB
easat-1097	166	5	how	how	SCONJ
easat-1097	166	6	effectively	effectively	ADV
easat-1097	166	7	the	the	DET
easat-1097	166	8	model	model	NOUN
easat-1097	166	9	can	can	AUX
easat-1097	166	10	forecast	forecast	VERB
easat-1097	166	11	the	the	DET
easat-1097	166	12	actual	actual	ADJ
easat-1097	166	13	co2	co2	NOUN
easat-1097	166	14	emissions	emission	NOUN
easat-1097	166	15	based	base	VERB
easat-1097	166	16	on	on	ADP
easat-1097	166	17	these	these	DET
easat-1097	166	18	predictors	predictor	NOUN
easat-1097	166	19	.	.	PUNCT
easat-1097	167	1	3.2.6	3.2.6	X
easat-1097	167	2	.	.	PUNCT
easat-1097	167	3	mean	mean	VERB
easat-1097	167	4	absolute	absolute	ADJ
easat-1097	167	5	percentage	percentage	NOUN
easat-1097	167	6	error	error	NOUN
easat-1097	167	7	(	(	PUNCT
easat-1097	167	8	mape	mape	NOUN
easat-1097	167	9	)	)	PUNCT
easat-1097	167	10	the	the	DET
easat-1097	167	11	mean	mean	ADJ
easat-1097	167	12	absolute	absolute	ADJ
easat-1097	167	13	percentage	percentage	NOUN
easat-1097	167	14	error	error	NOUN
easat-1097	167	15	(	(	PUNCT
easat-1097	167	16	mape	mape	NOUN
easat-1097	167	17	)	)	PUNCT
easat-1097	167	18	was	be	AUX
easat-1097	167	19	used	use	VERB
easat-1097	167	20	to	to	PART
easat-1097	167	21	assess	assess	VERB
easat-1097	167	22	the	the	DET
easat-1097	167	23	model	model	NOUN
easat-1097	167	24	.	.	PUNCT
easat-1097	168	1	a	a	DET
easat-1097	168	2	forecasting	forecasting	NOUN
easat-1097	168	3	model	model	NOUN
easat-1097	168	4	's	's	PART
easat-1097	168	5	prediction	prediction	NOUN
easat-1097	168	6	accuracy	accuracy	NOUN
easat-1097	168	7	in	in	ADP
easat-1097	168	8	terms	term	NOUN
easat-1097	168	9	of	of	ADP
easat-1097	168	10	estimating	estimate	VERB
easat-1097	168	11	the	the	DET
easat-1097	168	12	percentage	percentage	NOUN
easat-1097	168	13	error	error	NOUN
easat-1097	168	14	between	between	ADP
easat-1097	168	15	the	the	DET
easat-1097	168	16	actual	actual	ADJ
easat-1097	168	17	and	and	CCONJ
easat-1097	168	18	predicted	predict	VERB
easat-1097	168	19	outcomes	outcome	NOUN
easat-1097	168	20	is	be	AUX
easat-1097	168	21	measured	measure	VERB
easat-1097	168	22	by	by	ADP
easat-1097	168	23	the	the	DET
easat-1097	168	24	mean	mean	ADJ
easat-1097	168	25	absolute	absolute	ADJ
easat-1097	168	26	percentage	percentage	NOUN
easat-1097	168	27	error	error	NOUN
easat-1097	168	28	or	or	CCONJ
easat-1097	168	29	mape	mape	NOUN
easat-1097	168	30	.	.	PUNCT
easat-1097	169	1	following	follow	VERB
easat-1097	169	2	is	be	AUX
easat-1097	169	3	the	the	DET
easat-1097	169	4	calculation	calculation	NOUN
easat-1097	169	5	of	of	ADP
easat-1097	169	6	the	the	DET
easat-1097	169	7	mape	mape	NOUN
easat-1097	169	8	:	:	PUNCT
easat-1097	169	9	8	8	NUM
easat-1097	169	10	edelweiss	edelweiss	PROPN
easat-1097	169	11	applied	apply	VERB
easat-1097	169	12	science	science	NOUN
easat-1097	169	13	and	and	CCONJ
easat-1097	169	14	technology	technology	NOUN
easat-1097	169	15	issn	issn	PROPN
easat-1097	169	16	:	:	PUNCT
easat-1097	169	17	2576	2576	NUM
easat-1097	169	18	-	-	SYM
easat-1097	169	19	8484	8484	NUM
easat-1097	169	20	vol	vol	NOUN
easat-1097	169	21	.	.	PROPN
easat-1097	169	22	8	8	NUM
easat-1097	169	23	,	,	PUNCT
easat-1097	169	24	no	no	INTJ
easat-1097	169	25	.	.	NOUN
easat-1097	170	1	4	4	NUM
easat-1097	170	2	:	:	SYM
easat-1097	170	3	1	1	NUM
easat-1097	170	4	-	-	SYM
easat-1097	170	5	11	11	NUM
easat-1097	170	6	,	,	PUNCT
easat-1097	170	7	2024	2024	NUM
easat-1097	170	8	doi	doi	NOUN
easat-1097	170	9	:	:	PUNCT
easat-1097	170	10	10.55214/25768484.v8i4.1097	10.55214/25768484.v8i4.1097	NUM
easat-1097	170	11	©	©	NOUN
easat-1097	170	12	2024	2024	NUM
easat-1097	170	13	by	by	ADP
easat-1097	170	14	the	the	DET
easat-1097	170	15	authors	author	NOUN
easat-1097	170	16	;	;	PUNCT
easat-1097	171	1	licensee	licensee	PROPN
easat-1097	171	2	learning	learning	NOUN
easat-1097	171	3	gate	gate	NOUN
easat-1097	171	4	𝑀𝐴𝑃𝐸	𝑀𝐴𝑃𝐸	PROPN
easat-1097	171	5	=	=	PUNCT
easat-1097	171	6	100	100	NUM
easat-1097	171	7	%	%	NOUN
easat-1097	171	8	𝑛	𝑛	PROPN
easat-1097	171	9	∑	∑	ADV
easat-1097	171	10	|	|	ADV
easat-1097	171	11	𝑦	𝑦	NOUN
easat-1097	171	12	�	�	NOUN
easat-1097	171	13	̂	̂	SYM
easat-1097	171	14	�	�	NOUN
easat-1097	171	15	−𝑦𝑖	−𝑦𝑖	PROPN
easat-1097	171	16	𝑦𝑖	𝑦𝑖	PROPN
easat-1097	171	17	|𝑛	|𝑛	X
easat-1097	171	18	𝑡=1	𝑡=1	PROPN
easat-1097	171	19	(	(	PUNCT
easat-1097	171	20	11	11	NUM
easat-1097	171	21	)	)	PUNCT
easat-1097	171	22	where	where	SCONJ
easat-1097	171	23	n	n	PRON
easat-1097	171	24	is	be	AUX
easat-1097	171	25	the	the	DET
easat-1097	171	26	number	number	NOUN
easat-1097	171	27	of	of	ADP
easat-1097	171	28	observations	observation	NOUN
easat-1097	171	29	in	in	ADP
easat-1097	171	30	the	the	DET
easat-1097	171	31	dataset	dataset	NOUN
easat-1097	171	32	.	.	PUNCT
easat-1097	172	1	yi	yi	PROPN
easat-1097	172	2	is	be	AUX
easat-1097	172	3	the	the	DET
easat-1097	172	4	actual	actual	ADJ
easat-1097	172	5	value	value	NOUN
easat-1097	172	6	of	of	ADP
easat-1097	172	7	the	the	DET
easat-1097	172	8	target	target	NOUN
easat-1097	172	9	variable	variable	NOUN
easat-1097	172	10	for	for	ADP
easat-1097	172	11	the	the	DET
easat-1097	172	12	ith	ith	PROPN
easat-1097	172	13	observation	observation	NOUN
easat-1097	172	14	.	.	PUNCT
easat-1097	173	1	ŷi	ŷi	PROPN
easat-1097	173	2	is	be	AUX
easat-1097	173	3	the	the	DET
easat-1097	173	4	predicted	predict	VERB
easat-1097	173	5	value	value	NOUN
easat-1097	173	6	of	of	ADP
easat-1097	173	7	the	the	DET
easat-1097	173	8	target	target	NOUN
easat-1097	173	9	variable	variable	NOUN
easat-1097	173	10	for	for	ADP
easat-1097	173	11	the	the	DET
easat-1097	173	12	ith	ith	PROPN
easat-1097	173	13	observation	observation	NOUN
easat-1097	173	14	.	.	PUNCT
easat-1097	174	1	mape	mape	NOUN
easat-1097	174	2	is	be	AUX
easat-1097	174	3	commonly	commonly	ADV
easat-1097	174	4	used	use	VERB
easat-1097	174	5	because	because	SCONJ
easat-1097	174	6	it	it	PRON
easat-1097	174	7	’s	’	VERB
easat-1097	174	8	easy	easy	ADJ
easat-1097	174	9	to	to	PART
easat-1097	174	10	interpret	interpret	VERB
easat-1097	174	11	and	and	CCONJ
easat-1097	174	12	understand	understand	VERB
easat-1097	174	13	and	and	CCONJ
easat-1097	174	14	mape	mape	NOUN
easat-1097	174	15	is	be	AUX
easat-1097	174	16	expressed	express	VERB
easat-1097	174	17	as	as	ADP
easat-1097	174	18	a	a	DET
easat-1097	174	19	percentage	percentage	NOUN
easat-1097	174	20	.	.	PUNCT
easat-1097	175	1	a	a	DET
easat-1097	175	2	lower	low	ADJ
easat-1097	175	3	mape	mape	NOUN
easat-1097	175	4	indicates	indicate	VERB
easat-1097	175	5	better	well	ADJ
easat-1097	175	6	forecasting	forecasting	NOUN
easat-1097	175	7	accuracy	accuracy	NOUN
easat-1097	175	8	.	.	PUNCT
easat-1097	176	1	3.2.7	3.2.7	X
easat-1097	176	2	.	.	PUNCT
easat-1097	177	1	root	root	NOUN
easat-1097	177	2	mean	mean	VERB
easat-1097	177	3	square	square	ADJ
easat-1097	177	4	error	error	NOUN
easat-1097	177	5	(	(	PUNCT
easat-1097	177	6	rmse	rmse	NOUN
easat-1097	177	7	)	)	PUNCT
easat-1097	177	8	root	root	NOUN
easat-1097	177	9	mean	mean	VERB
easat-1097	177	10	square	square	ADJ
easat-1097	177	11	error	error	NOUN
easat-1097	177	12	(	(	PUNCT
easat-1097	177	13	rmse	rmse	NOUN
easat-1097	177	14	)	)	PUNCT
easat-1097	177	15	is	be	AUX
easat-1097	177	16	a	a	DET
easat-1097	177	17	generally	generally	ADV
easat-1097	177	18	used	use	VERB
easat-1097	177	19	metric	metric	NOUN
easat-1097	177	20	for	for	ADP
easat-1097	177	21	evaluating	evaluate	VERB
easat-1097	177	22	the	the	DET
easat-1097	177	23	performance	performance	NOUN
easat-1097	177	24	of	of	ADP
easat-1097	177	25	machine	machine	NOUN
easat-1097	177	26	learning	learning	NOUN
easat-1097	177	27	models	model	NOUN
easat-1097	177	28	including	include	VERB
easat-1097	177	29	those	those	PRON
easat-1097	177	30	used	use	VERB
easat-1097	177	31	to	to	PART
easat-1097	177	32	predict	predict	VERB
easat-1097	177	33	co2	co2	NOUN
easat-1097	177	34	emissions	emission	NOUN
easat-1097	177	35	.	.	PUNCT
easat-1097	178	1	like	like	ADP
easat-1097	178	2	mae	mae	PROPN
easat-1097	178	3	,	,	PUNCT
easat-1097	178	4	the	the	DET
easat-1097	178	5	rmse	rmse	NOUN
easat-1097	178	6	should	should	AUX
easat-1097	178	7	be	be	AUX
easat-1097	178	8	applied	apply	VERB
easat-1097	178	9	in	in	ADP
easat-1097	178	10	conjunction	conjunction	NOUN
easat-1097	178	11	with	with	ADP
easat-1097	178	12	other	other	ADJ
easat-1097	178	13	metrics	metric	NOUN
easat-1097	178	14	and	and	CCONJ
easat-1097	178	15	qualitative	qualitative	ADJ
easat-1097	178	16	analysis	analysis	NOUN
easat-1097	178	17	to	to	PART
easat-1097	178	18	gain	gain	VERB
easat-1097	178	19	a	a	DET
easat-1097	178	20	more	more	ADV
easat-1097	178	21	complete	complete	ADJ
easat-1097	178	22	understanding	understanding	NOUN
easat-1097	178	23	of	of	ADP
easat-1097	178	24	the	the	DET
easat-1097	178	25	model	model	NOUN
easat-1097	178	26	's	's	PART
easat-1097	178	27	strengths	strength	NOUN
easat-1097	178	28	and	and	CCONJ
easat-1097	178	29	weaknesses	weakness	NOUN
easat-1097	178	30	.	.	PUNCT
easat-1097	179	1	the	the	DET
easat-1097	179	2	formula	formula	NOUN
easat-1097	179	3	for	for	ADP
easat-1097	179	4	rmse	rmse	NOUN
easat-1097	179	5	is	be	AUX
easat-1097	179	6	as	as	SCONJ
easat-1097	179	7	follows	follow	VERB
easat-1097	179	8	:	:	PUNCT
easat-1097	179	9	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
easat-1097	179	10	=	=	NOUN
easat-1097	180	1	√	√	ADP
easat-1097	180	2	1	1	NUM
easat-1097	180	3	𝑛	𝑛	PRON
easat-1097	180	4	∑	∑	PUNCT
easat-1097	180	5	(	(	PUNCT
easat-1097	180	6	𝑦	𝑦	NOUN
easat-1097	180	7	�	�	NOUN
easat-1097	180	8	̂	̂	SYM
easat-1097	180	9	�	�	PROPN
easat-1097	180	10	−	−	PROPN
easat-1097	180	11	𝑦𝑖	𝑦𝑖	PROPN
easat-1097	180	12	)	)	PUNCT
easat-1097	180	13	2𝑛	2𝑛	PROPN
easat-1097	180	14	𝑡=1	𝑡=1	PROPN
easat-1097	180	15	(	(	PUNCT
easat-1097	180	16	12	12	NUM
easat-1097	180	17	)	)	PUNCT
easat-1097	180	18	where	where	SCONJ
easat-1097	180	19	n	n	PRON
easat-1097	180	20	is	be	AUX
easat-1097	180	21	the	the	DET
easat-1097	180	22	number	number	NOUN
easat-1097	180	23	of	of	ADP
easat-1097	180	24	observations	observation	NOUN
easat-1097	180	25	in	in	ADP
easat-1097	180	26	the	the	DET
easat-1097	180	27	dataset	dataset	NOUN
easat-1097	180	28	.	.	PUNCT
easat-1097	181	1	yi	yi	PROPN
easat-1097	181	2	is	be	AUX
easat-1097	181	3	the	the	DET
easat-1097	181	4	actual	actual	ADJ
easat-1097	181	5	value	value	NOUN
easat-1097	181	6	of	of	ADP
easat-1097	181	7	the	the	DET
easat-1097	181	8	target	target	NOUN
easat-1097	181	9	variable	variable	NOUN
easat-1097	181	10	for	for	ADP
easat-1097	181	11	the	the	DET
easat-1097	181	12	ith	ith	PROPN
easat-1097	181	13	observation	observation	NOUN
easat-1097	181	14	.	.	PUNCT
easat-1097	182	1	ŷi	ŷi	PROPN
easat-1097	182	2	is	be	AUX
easat-1097	182	3	the	the	DET
easat-1097	182	4	predicted	predict	VERB
easat-1097	182	5	value	value	NOUN
easat-1097	182	6	of	of	ADP
easat-1097	182	7	the	the	DET
easat-1097	182	8	target	target	NOUN
easat-1097	182	9	variable	variable	NOUN
easat-1097	182	10	for	for	ADP
easat-1097	182	11	the	the	DET
easat-1097	182	12	ith	ith	PROPN
easat-1097	182	13	observation	observation	NOUN
easat-1097	182	14	.	.	PUNCT
easat-1097	183	1	the	the	DET
easat-1097	183	2	rmse	rmse	NOUN
easat-1097	183	3	is	be	AUX
easat-1097	183	4	calculated	calculate	VERB
easat-1097	183	5	by	by	ADP
easat-1097	183	6	taking	take	VERB
easat-1097	183	7	the	the	DET
easat-1097	183	8	squared	square	VERB
easat-1097	183	9	difference	difference	NOUN
easat-1097	183	10	between	between	ADP
easat-1097	183	11	the	the	DET
easat-1097	183	12	predicted	predict	VERB
easat-1097	183	13	and	and	CCONJ
easat-1097	183	14	actual	actual	ADJ
easat-1097	183	15	values	value	NOUN
easat-1097	183	16	of	of	ADP
easat-1097	183	17	the	the	DET
easat-1097	183	18	target	target	NOUN
easat-1097	183	19	variable	variable	NOUN
easat-1097	183	20	for	for	ADP
easat-1097	183	21	each	each	DET
easat-1097	183	22	observation	observation	NOUN
easat-1097	183	23	summing	sum	VERB
easat-1097	183	24	these	these	DET
easat-1097	183	25	squared	square	VERB
easat-1097	183	26	differences	difference	NOUN
easat-1097	183	27	dividing	divide	VERB
easat-1097	183	28	by	by	ADP
easat-1097	183	29	the	the	DET
easat-1097	183	30	total	total	ADJ
easat-1097	183	31	number	number	NOUN
easat-1097	183	32	of	of	ADP
easat-1097	183	33	observations	observation	NOUN
easat-1097	183	34	and	and	CCONJ
easat-1097	183	35	taking	take	VERB
easat-1097	183	36	the	the	DET
easat-1097	183	37	square	square	ADJ
easat-1097	183	38	root	root	NOUN
easat-1097	183	39	of	of	ADP
easat-1097	183	40	the	the	DET
easat-1097	183	41	result	result	NOUN
easat-1097	183	42	.	.	PUNCT
easat-1097	184	1	4	4	X
easat-1097	184	2	.	.	X
easat-1097	184	3	results	result	VERB
easat-1097	184	4	the	the	DET
easat-1097	184	5	datasets	dataset	NOUN
easat-1097	184	6	in	in	ADP
easat-1097	184	7	the	the	DET
easat-1097	184	8	aforementioned	aforementioned	ADJ
easat-1097	184	9	section	section	NOUN
easat-1097	184	10	were	be	AUX
easat-1097	184	11	partitioned	partition	VERB
easat-1097	184	12	into	into	ADP
easat-1097	184	13	training	training	NOUN
easat-1097	184	14	and	and	CCONJ
easat-1097	184	15	testing	testing	NOUN
easat-1097	184	16	sets	set	VERB
easat-1097	184	17	post	post	ADJ
easat-1097	184	18	-	-	ADJ
easat-1097	184	19	data	data	ADJ
easat-1097	184	20	preparation	preparation	NOUN
easat-1097	184	21	using	use	VERB
easat-1097	184	22	the	the	DET
easat-1097	184	23	k	k	ADJ
easat-1097	184	24	-	-	ADJ
easat-1097	184	25	fold	fold	ADJ
easat-1097	184	26	cross	cross	ADJ
easat-1097	184	27	-	-	ADJ
easat-1097	184	28	validation	validation	ADJ
easat-1097	184	29	methodology	methodology	NOUN
easat-1097	184	30	.	.	PUNCT
easat-1097	185	1	the	the	DET
easat-1097	185	2	implementation	implementation	NOUN
easat-1097	185	3	of	of	ADP
easat-1097	185	4	the	the	DET
easat-1097	185	5	suggested	suggest	VERB
easat-1097	185	6	framework	framework	NOUN
easat-1097	185	7	was	be	AUX
easat-1097	185	8	carried	carry	VERB
easat-1097	185	9	out	out	ADP
easat-1097	185	10	using	use	VERB
easat-1097	185	11	the	the	DET
easat-1097	185	12	sci	sci	PROPN
easat-1097	185	13	-	-	PUNCT
easat-1097	185	14	kit	kit	NOUN
easat-1097	185	15	library	library	NOUN
easat-1097	185	16	in	in	ADP
easat-1097	185	17	python	python	PROPN
easat-1097	185	18	.	.	PUNCT
easat-1097	186	1	performance	performance	NOUN
easat-1097	186	2	evaluations	evaluation	NOUN
easat-1097	186	3	were	be	AUX
easat-1097	186	4	conducted	conduct	VERB
easat-1097	186	5	using	use	VERB
easat-1097	186	6	mae	mae	PROPN
easat-1097	186	7	,	,	PUNCT
easat-1097	186	8	mape	mape	NOUN
easat-1097	186	9	and	and	CCONJ
easat-1097	186	10	rmse	rmse	ADJ
easat-1097	186	11	metrics	metric	NOUN
easat-1097	186	12	within	within	ADP
easat-1097	186	13	this	this	DET
easat-1097	186	14	study	study	NOUN
easat-1097	186	15	.	.	PUNCT
easat-1097	187	1	the	the	DET
easat-1097	187	2	outcomes	outcome	NOUN
easat-1097	187	3	of	of	ADP
easat-1097	187	4	multiple	multiple	ADJ
easat-1097	187	5	linear	linear	ADJ
easat-1097	187	6	regression	regression	NOUN
easat-1097	187	7	,	,	PUNCT
easat-1097	187	8	svm	svm	ADJ
easat-1097	187	9	and	and	CCONJ
easat-1097	187	10	random	random	ADJ
easat-1097	187	11	forest	forest	NOUN
easat-1097	187	12	regression	regression	NOUN
easat-1097	187	13	are	be	AUX
easat-1097	187	14	presented	present	VERB
easat-1097	187	15	in	in	ADP
easat-1097	187	16	table	table	NOUN
easat-1097	187	17	2	2	NUM
easat-1097	187	18	and	and	CCONJ
easat-1097	187	19	in	in	ADP
easat-1097	187	20	figure	figure	NOUN
easat-1097	187	21	3	3	NUM
easat-1097	187	22	.	.	PUNCT
easat-1097	188	1	a	a	DET
easat-1097	188	2	proposed	propose	VERB
easat-1097	188	3	method	method	NOUN
easat-1097	188	4	for	for	ADP
easat-1097	188	5	estimating	estimate	VERB
easat-1097	188	6	co2	co2	NOUN
easat-1097	188	7	emissions	emission	NOUN
easat-1097	188	8	has	have	AUX
easat-1097	188	9	been	be	AUX
easat-1097	188	10	introduced	introduce	VERB
easat-1097	188	11	in	in	ADP
easat-1097	188	12	the	the	DET
easat-1097	188	13	research	research	NOUN
easat-1097	188	14	revealing	reveal	VERB
easat-1097	188	15	that	that	SCONJ
easat-1097	188	16	svm	svm	NOUN
easat-1097	188	17	exhibits	exhibit	VERB
easat-1097	188	18	the	the	DET
easat-1097	188	19	highest	high	ADJ
easat-1097	188	20	level	level	NOUN
easat-1097	188	21	of	of	ADP
easat-1097	188	22	accuracy	accuracy	NOUN
easat-1097	188	23	.	.	PUNCT
easat-1097	189	1	following	follow	VERB
easat-1097	189	2	svm	svm	PROPN
easat-1097	189	3	,	,	PUNCT
easat-1097	189	4	random	random	ADJ
easat-1097	189	5	forest	forest	NOUN
easat-1097	189	6	emerges	emerge	VERB
easat-1097	189	7	as	as	ADP
easat-1097	189	8	the	the	DET
easat-1097	189	9	subsequent	subsequent	ADJ
easat-1097	189	10	best	good	ADJ
easat-1097	189	11	algorithm	algorithm	NOUN
easat-1097	189	12	due	due	ADP
easat-1097	189	13	to	to	ADP
easat-1097	189	14	its	its	PRON
easat-1097	189	15	superior	superior	ADJ
easat-1097	189	16	mae	mae	PROPN
easat-1097	189	17	value	value	NOUN
easat-1097	189	18	and	and	CCONJ
easat-1097	189	19	the	the	DET
easat-1097	189	20	second	second	ADV
easat-1097	189	21	-	-	PUNCT
easat-1097	189	22	highest	high	ADJ
easat-1097	189	23	rankings	ranking	NOUN
easat-1097	189	24	for	for	ADP
easat-1097	189	25	mape	mape	NOUN
easat-1097	189	26	and	and	CCONJ
easat-1097	189	27	rmse	rmse	NOUN
easat-1097	189	28	.	.	PUNCT
easat-1097	190	1	in	in	ADP
easat-1097	190	2	contrast	contrast	NOUN
easat-1097	190	3	,	,	PUNCT
easat-1097	190	4	the	the	DET
easat-1097	190	5	support	support	NOUN
easat-1097	190	6	vector	vector	NOUN
easat-1097	190	7	machine	machine	NOUN
easat-1097	190	8	approach	approach	NOUN
easat-1097	190	9	performs	perform	VERB
easat-1097	190	10	commendably	commendably	ADV
easat-1097	190	11	with	with	ADP
easat-1097	190	12	the	the	DET
easat-1097	190	13	lowest	low	ADJ
easat-1097	190	14	values	value	NOUN
easat-1097	190	15	for	for	ADP
easat-1097	190	16	mae	mae	PROPN
easat-1097	190	17	,	,	PUNCT
easat-1097	190	18	mape	mape	NOUN
easat-1097	190	19	and	and	CCONJ
easat-1097	190	20	rmse	rmse	NOUN
easat-1097	190	21	.	.	PUNCT
easat-1097	191	1	table	table	NOUN
easat-1097	191	2	2	2	NUM
easat-1097	191	3	.	.	PUNCT
easat-1097	191	4	model	model	PROPN
easat-1097	191	5	comparison	comparison	PROPN
easat-1097	191	6	.	.	PUNCT
easat-1097	192	1	methods	method	NOUN
easat-1097	192	2	mae	mae	PROPN
easat-1097	192	3	mape	mape	PROPN
easat-1097	192	4	rmse	rmse	PROPN
easat-1097	192	5	multiple	multiple	ADJ
easat-1097	192	6	linear	linear	ADJ
easat-1097	192	7	regression	regression	NOUN
easat-1097	192	8	0.22	0.22	NUM
easat-1097	192	9	3.15	3.15	NUM
easat-1097	192	10	0.27	0.27	NUM
easat-1097	192	11	support	support	NOUN
easat-1097	192	12	vector	vector	NOUN
easat-1097	192	13	machine	machine	NOUN
easat-1097	192	14	0.17	0.17	NUM
easat-1097	192	15	2.75	2.75	NUM
easat-1097	192	16	0.21	0.21	NUM
easat-1097	192	17	random	random	ADJ
easat-1097	192	18	forest	forest	NOUN
easat-1097	192	19	0.18	0.18	NUM
easat-1097	192	20	2.91	2.91	NUM
easat-1097	192	21	0.23	0.23	NUM
easat-1097	192	22	9	9	NUM
easat-1097	192	23	edelweiss	edelweiss	PROPN
easat-1097	192	24	applied	apply	VERB
easat-1097	192	25	science	science	NOUN
easat-1097	192	26	and	and	CCONJ
easat-1097	192	27	technology	technology	NOUN
easat-1097	192	28	issn	issn	PROPN
easat-1097	192	29	:	:	PUNCT
easat-1097	192	30	2576	2576	NUM
easat-1097	192	31	-	-	SYM
easat-1097	192	32	8484	8484	NUM
easat-1097	192	33	vol	vol	NOUN
easat-1097	192	34	.	.	PROPN
easat-1097	192	35	8	8	NUM
easat-1097	192	36	,	,	PUNCT
easat-1097	192	37	no	no	INTJ
easat-1097	192	38	.	.	NOUN
easat-1097	193	1	4	4	NUM
easat-1097	193	2	:	:	SYM
easat-1097	193	3	1	1	NUM
easat-1097	193	4	-	-	SYM
easat-1097	193	5	11	11	NUM
easat-1097	193	6	,	,	PUNCT
easat-1097	193	7	2024	2024	NUM
easat-1097	193	8	doi	doi	NOUN
easat-1097	193	9	:	:	PUNCT
easat-1097	193	10	10.55214/25768484.v8i4.1097	10.55214/25768484.v8i4.1097	NUM
easat-1097	193	11	©	©	NOUN
easat-1097	193	12	2024	2024	NUM
easat-1097	193	13	by	by	ADP
easat-1097	193	14	the	the	DET
easat-1097	193	15	authors	author	NOUN
easat-1097	193	16	;	;	PUNCT
easat-1097	193	17	licensee	licensee	PROPN
easat-1097	193	18	learning	learn	VERB
easat-1097	193	19	gate	gate	PROPN
easat-1097	193	20	figure	figure	NOUN
easat-1097	193	21	3	3	NUM
easat-1097	193	22	.	.	PUNCT
easat-1097	194	1	the	the	DET
easat-1097	194	2	performance	performance	NOUN
easat-1097	194	3	comparison	comparison	NOUN
easat-1097	194	4	graph	graph	NOUN
easat-1097	194	5	of	of	ADP
easat-1097	194	6	three	three	NUM
easat-1097	194	7	machine	machine	NOUN
easat-1097	194	8	learning	learn	VERB
easat-1097	194	9	algorithms	algorithm	NOUN
easat-1097	194	10	.	.	PUNCT
easat-1097	195	1	5	5	X
easat-1097	195	2	.	.	X
easat-1097	195	3	conclusion	conclusion	NOUN
easat-1097	195	4	co2	co2	NOUN
easat-1097	195	5	emissions	emission	NOUN
easat-1097	195	6	are	be	AUX
easat-1097	195	7	a	a	DET
easat-1097	195	8	significant	significant	ADJ
easat-1097	195	9	contributor	contributor	NOUN
easat-1097	195	10	to	to	PART
easat-1097	195	11	climate	climate	NOUN
easat-1097	195	12	change	change	NOUN
easat-1097	195	13	which	which	PRON
easat-1097	195	14	has	have	VERB
easat-1097	195	15	numerous	numerous	ADJ
easat-1097	195	16	effects	effect	NOUN
easat-1097	195	17	on	on	ADP
easat-1097	195	18	the	the	DET
easat-1097	195	19	environment	environment	NOUN
easat-1097	195	20	and	and	CCONJ
easat-1097	195	21	human	human	ADJ
easat-1097	195	22	societies	society	NOUN
easat-1097	195	23	like	like	ADP
easat-1097	195	24	global	global	ADJ
easat-1097	195	25	warming	warming	NOUN
easat-1097	195	26	,	,	PUNCT
easat-1097	195	27	ocean	ocean	NOUN
easat-1097	195	28	acidification	acidification	NOUN
easat-1097	195	29	,	,	PUNCT
easat-1097	195	30	air	air	NOUN
easat-1097	195	31	pollution	pollution	NOUN
easat-1097	195	32	,	,	PUNCT
easat-1097	195	33	ecological	ecological	ADJ
easat-1097	195	34	changes	change	NOUN
easat-1097	195	35	and	and	CCONJ
easat-1097	195	36	economic	economic	ADJ
easat-1097	195	37	impacts	impact	NOUN
easat-1097	195	38	.	.	PUNCT
easat-1097	196	1	machine	machine	NOUN
easat-1097	196	2	learning	learning	NOUN
easat-1097	196	3	has	have	VERB
easat-1097	196	4	great	great	ADJ
easat-1097	196	5	potential	potential	NOUN
easat-1097	196	6	to	to	PART
easat-1097	196	7	contribute	contribute	VERB
easat-1097	196	8	to	to	ADP
easat-1097	196	9	the	the	DET
easat-1097	196	10	reduction	reduction	NOUN
easat-1097	196	11	of	of	ADP
easat-1097	196	12	co2	co2	NOUN
easat-1097	196	13	emissions	emission	NOUN
easat-1097	196	14	by	by	ADP
easat-1097	196	15	providing	provide	VERB
easat-1097	196	16	insights	insight	NOUN
easat-1097	196	17	and	and	CCONJ
easat-1097	196	18	tools	tool	NOUN
easat-1097	196	19	for	for	ADP
easat-1097	196	20	better	well	ADJ
easat-1097	196	21	decision	decision	NOUN
easat-1097	196	22	-	-	PUNCT
easat-1097	196	23	making	making	NOUN
easat-1097	196	24	,	,	PUNCT
easat-1097	196	25	monitoring	monitoring	NOUN
easat-1097	196	26	and	and	CCONJ
easat-1097	196	27	optimization	optimization	NOUN
easat-1097	196	28	of	of	ADP
easat-1097	196	29	energy	energy	NOUN
easat-1097	196	30	consumption	consumption	NOUN
easat-1097	196	31	and	and	CCONJ
easat-1097	196	32	emission	emission	NOUN
easat-1097	196	33	sources	source	NOUN
easat-1097	196	34	.	.	PUNCT
easat-1097	197	1	moreover	moreover	ADV
easat-1097	197	2	,	,	PUNCT
easat-1097	197	3	multiple	multiple	ADJ
easat-1097	197	4	linear	linear	NOUN
easat-1097	197	5	regression	regression	NOUN
easat-1097	197	6	,	,	PUNCT
easat-1097	197	7	linear	linear	ADJ
easat-1097	197	8	regression	regression	NOUN
easat-1097	197	9	,	,	PUNCT
easat-1097	197	10	support	support	NOUN
easat-1097	197	11	vector	vector	NOUN
easat-1097	197	12	machine	machine	NOUN
easat-1097	197	13	and	and	CCONJ
easat-1097	197	14	random	random	ADJ
easat-1097	197	15	forest	forest	NOUN
easat-1097	197	16	are	be	AUX
easat-1097	197	17	all	all	ADV
easat-1097	197	18	sophisticated	sophisticated	ADJ
easat-1097	197	19	machine	machine	NOUN
easat-1097	197	20	learning	learn	VERB
easat-1097	197	21	techniques	technique	NOUN
easat-1097	197	22	used	use	VERB
easat-1097	197	23	to	to	PART
easat-1097	197	24	develop	develop	VERB
easat-1097	197	25	models	model	NOUN
easat-1097	197	26	for	for	ADP
easat-1097	197	27	co2	co2	NOUN
easat-1097	197	28	emissions	emission	NOUN
easat-1097	197	29	and	and	CCONJ
easat-1097	197	30	determining	determine	VERB
easat-1097	197	31	the	the	DET
easat-1097	197	32	factors	factor	NOUN
easat-1097	197	33	influencing	influence	VERB
easat-1097	197	34	them	they	PRON
easat-1097	197	35	.	.	PUNCT
easat-1097	198	1	the	the	DET
easat-1097	198	2	application	application	NOUN
easat-1097	198	3	of	of	ADP
easat-1097	198	4	svm	svm	PROPN
easat-1097	198	5	,	,	PUNCT
easat-1097	198	6	mlr	mlr	NOUN
easat-1097	198	7	and	and	CCONJ
easat-1097	198	8	random	random	ADJ
easat-1097	198	9	forest	forest	NOUN
easat-1097	198	10	in	in	ADP
easat-1097	198	11	the	the	DET
easat-1097	198	12	context	context	NOUN
easat-1097	198	13	of	of	ADP
easat-1097	198	14	co2	co2	NOUN
easat-1097	198	15	emission	emission	NOUN
easat-1097	198	16	modeling	modeling	NOUN
easat-1097	198	17	within	within	ADP
easat-1097	198	18	this	this	DET
easat-1097	198	19	research	research	NOUN
easat-1097	198	20	necessitates	necessitate	VERB
easat-1097	198	21	meticulous	meticulous	ADJ
easat-1097	198	22	data	datum	NOUN
easat-1097	198	23	preprocessing	preprocessing	NOUN
easat-1097	198	24	,	,	PUNCT
easat-1097	198	25	feature	feature	NOUN
easat-1097	198	26	selection	selection	NOUN
easat-1097	198	27	,	,	PUNCT
easat-1097	198	28	model	model	NOUN
easat-1097	198	29	training	training	NOUN
easat-1097	198	30	,	,	PUNCT
easat-1097	198	31	assessment	assessment	NOUN
easat-1097	198	32	and	and	CCONJ
easat-1097	198	33	implementation	implementation	NOUN
easat-1097	198	34	to	to	PART
easat-1097	198	35	predict	predict	VERB
easat-1097	198	36	future	future	ADJ
easat-1097	198	37	co2	co2	NOUN
easat-1097	198	38	emissions	emission	NOUN
easat-1097	198	39	based	base	VERB
easat-1097	198	40	on	on	ADP
easat-1097	198	41	historical	historical	ADJ
easat-1097	198	42	data	datum	NOUN
easat-1097	198	43	and	and	CCONJ
easat-1097	198	44	external	external	ADJ
easat-1097	198	45	variables	variable	NOUN
easat-1097	198	46	.	.	PUNCT
easat-1097	199	1	assessment	assessment	NOUN
easat-1097	199	2	of	of	ADP
easat-1097	199	3	the	the	DET
easat-1097	199	4	machine	machine	NOUN
easat-1097	199	5	learning	learn	VERB
easat-1097	199	6	algorithms	algorithm	NOUN
easat-1097	199	7	'	'	PART
easat-1097	199	8	effectiveness	effectiveness	NOUN
easat-1097	199	9	in	in	ADP
easat-1097	199	10	forecasting	forecast	VERB
easat-1097	199	11	co2	co2	NOUN
easat-1097	199	12	emissions	emission	NOUN
easat-1097	199	13	involves	involve	VERB
easat-1097	199	14	the	the	DET
easat-1097	199	15	utilization	utilization	NOUN
easat-1097	199	16	of	of	ADP
easat-1097	199	17	performance	performance	NOUN
easat-1097	199	18	metrics	metric	NOUN
easat-1097	199	19	such	such	ADJ
easat-1097	199	20	as	as	ADP
easat-1097	199	21	mae	mae	PROPN
easat-1097	199	22	,	,	PUNCT
easat-1097	199	23	mape	mape	NOUN
easat-1097	199	24	and	and	CCONJ
easat-1097	199	25	rmse	rmse	NOUN
easat-1097	199	26	.	.	PUNCT
easat-1097	200	1	model	model	NOUN
easat-1097	200	2	prediction	prediction	NOUN
easat-1097	200	3	values	value	NOUN
easat-1097	200	4	derived	derive	VERB
easat-1097	200	5	from	from	ADP
easat-1097	200	6	this	this	DET
easat-1097	200	7	machine	machine	NOUN
easat-1097	200	8	learning	learning	NOUN
easat-1097	200	9	provided	provide	VERB
easat-1097	200	10	empirical	empirical	ADJ
easat-1097	200	11	data	datum	NOUN
easat-1097	200	12	for	for	ADP
easat-1097	200	13	trends	trend	NOUN
easat-1097	200	14	in	in	ADP
easat-1097	200	15	co2	co2	NOUN
easat-1097	200	16	emissions	emission	NOUN
easat-1097	200	17	and	and	CCONJ
easat-1097	200	18	supported	support	VERB
easat-1097	200	19	policies	policy	NOUN
easat-1097	200	20	for	for	ADP
easat-1097	200	21	co2	co2	NOUN
easat-1097	200	22	reduction	reduction	NOUN
easat-1097	200	23	.	.	PUNCT
easat-1097	201	1	in	in	ADP
easat-1097	201	2	a	a	DET
easat-1097	201	3	nutshell	nutshell	NOUN
easat-1097	201	4	,	,	PUNCT
easat-1097	201	5	reducing	reduce	VERB
easat-1097	201	6	co2	co2	NOUN
easat-1097	201	7	emissions	emission	NOUN
easat-1097	201	8	is	be	AUX
easat-1097	201	9	critical	critical	ADJ
easat-1097	201	10	to	to	ADP
easat-1097	201	11	mitigating	mitigate	VERB
easat-1097	201	12	the	the	DET
easat-1097	201	13	effects	effect	NOUN
easat-1097	201	14	of	of	ADP
easat-1097	201	15	climate	climate	NOUN
easat-1097	201	16	change	change	NOUN
easat-1097	201	17	.	.	PUNCT
easat-1097	202	1	machine	machine	NOUN
easat-1097	202	2	learning	learning	NOUN
easat-1097	202	3	can	can	AUX
easat-1097	202	4	be	be	AUX
easat-1097	202	5	a	a	DET
easat-1097	202	6	valuable	valuable	ADJ
easat-1097	202	7	tool	tool	NOUN
easat-1097	202	8	to	to	PART
easat-1097	202	9	help	help	VERB
easat-1097	202	10	us	we	PRON
easat-1097	202	11	achieve	achieve	VERB
easat-1097	202	12	this	this	DET
easat-1097	202	13	goal	goal	NOUN
easat-1097	202	14	.	.	PUNCT
easat-1097	203	1	machine	machine	NOUN
easat-1097	203	2	learning	learning	NOUN
easat-1097	203	3	is	be	AUX
easat-1097	203	4	a	a	DET
easat-1097	203	5	valuable	valuable	ADJ
easat-1097	203	6	approach	approach	NOUN
easat-1097	203	7	to	to	ADP
easat-1097	203	8	combating	combat	VERB
easat-1097	203	9	climate	climate	NOUN
easat-1097	203	10	change	change	NOUN
easat-1097	203	11	helping	help	VERB
easat-1097	203	12	us	we	PRON
easat-1097	203	13	to	to	PART
easat-1097	203	14	better	well	ADV
easat-1097	203	15	understand	understand	VERB
easat-1097	203	16	the	the	DET
easat-1097	203	17	causes	cause	NOUN
easat-1097	203	18	and	and	CCONJ
easat-1097	203	19	effects	effect	NOUN
easat-1097	203	20	of	of	ADP
easat-1097	203	21	co2	co2	NOUN
easat-1097	203	22	emissions	emission	NOUN
easat-1097	203	23	and	and	CCONJ
easat-1097	203	24	to	to	PART
easat-1097	203	25	develop	develop	VERB
easat-1097	203	26	effective	effective	ADJ
easat-1097	203	27	strategies	strategy	NOUN
easat-1097	203	28	for	for	ADP
easat-1097	203	29	reducing	reduce	VERB
easat-1097	203	30	them	they	PRON
easat-1097	203	31	.	.	PUNCT
easat-1097	204	1	future	future	ADJ
easat-1097	204	2	research	research	NOUN
easat-1097	204	3	in	in	ADP
easat-1097	204	4	this	this	DET
easat-1097	204	5	area	area	NOUN
easat-1097	204	6	can	can	AUX
easat-1097	204	7	be	be	AUX
easat-1097	204	8	directed	direct	VERB
easat-1097	204	9	to	to	PART
easat-1097	204	10	analyze	analyze	VERB
easat-1097	204	11	the	the	DET
easat-1097	204	12	other	other	ADJ
easat-1097	204	13	factors	factor	NOUN
easat-1097	204	14	that	that	PRON
easat-1097	204	15	are	be	AUX
easat-1097	204	16	expected	expect	VERB
easat-1097	204	17	to	to	PART
easat-1097	204	18	influence	influence	VERB
easat-1097	204	19	the	the	DET
easat-1097	204	20	rate	rate	NOUN
easat-1097	204	21	of	of	ADP
easat-1097	204	22	power	power	NOUN
easat-1097	204	23	consumption	consumption	NOUN
easat-1097	204	24	,	,	PUNCT
easat-1097	204	25	the	the	DET
easat-1097	204	26	energy	energy	NOUN
easat-1097	204	27	efficiency	efficiency	NOUN
easat-1097	204	28	index	index	NOUN
easat-1097	204	29	and	and	CCONJ
easat-1097	204	30	carbon	carbon	NOUN
easat-1097	204	31	dioxide	dioxide	NOUN
easat-1097	204	32	emissions	emission	NOUN
easat-1097	204	33	.	.	PUNCT
easat-1097	205	1	furthermore	furthermore	ADV
easat-1097	205	2	,	,	PUNCT
easat-1097	205	3	the	the	DET
easat-1097	205	4	development	development	NOUN
easat-1097	205	5	of	of	ADP
easat-1097	205	6	web	web	NOUN
easat-1097	205	7	and	and	CCONJ
easat-1097	205	8	mobile	mobile	ADJ
easat-1097	205	9	applications	application	NOUN
easat-1097	205	10	is	be	AUX
easat-1097	205	11	predicted	predict	VERB
easat-1097	205	12	by	by	ADP
easat-1097	205	13	models	model	NOUN
easat-1097	205	14	derived	derive	VERB
easat-1097	205	15	from	from	ADP
easat-1097	205	16	machine	machine	NOUN
easat-1097	205	17	learning	learning	NOUN
easat-1097	205	18	.	.	PUNCT
easat-1097	206	1	funding	funding	NOUN
easat-1097	206	2	:	:	PUNCT
easat-1097	206	3	this	this	DET
easat-1097	206	4	research	research	NOUN
easat-1097	206	5	is	be	AUX
easat-1097	206	6	supported	support	VERB
easat-1097	206	7	by	by	ADP
easat-1097	206	8	suan	suan	PROPN
easat-1097	206	9	sunandha	sunandha	PROPN
easat-1097	206	10	rajabhat	rajabhat	PROPN
easat-1097	206	11	university	university	PROPN
easat-1097	206	12	,	,	PUNCT
easat-1097	206	13	thailand	thailand	PROPN
easat-1097	206	14	(	(	PUNCT
easat-1097	206	15	grant	grant	PROPN
easat-1097	206	16	number	number	NOUN
easat-1097	206	17	:	:	PUNCT
easat-1097	206	18	pd0	pd0	NOUN
easat-1097	206	19	36602009	36602009	NUM
easat-1097	206	20	)	)	PUNCT
easat-1097	206	21	.	.	PUNCT
easat-1097	207	1	institutional	institutional	ADJ
easat-1097	207	2	review	review	PROPN
easat-1097	207	3	board	board	NOUN
easat-1097	207	4	statement	statement	NOUN
easat-1097	207	5	:	:	PUNCT
easat-1097	207	6	not	not	PART
easat-1097	207	7	applicable	applicable	ADJ
easat-1097	207	8	.	.	PUNCT
easat-1097	208	1	10	10	NUM
easat-1097	208	2	edelweiss	edelweiss	PROPN
easat-1097	208	3	applied	apply	VERB
easat-1097	208	4	science	science	NOUN
easat-1097	208	5	and	and	CCONJ
easat-1097	208	6	technology	technology	NOUN
easat-1097	208	7	issn	issn	PROPN
easat-1097	208	8	:	:	PUNCT
easat-1097	208	9	2576	2576	NUM
easat-1097	208	10	-	-	SYM
easat-1097	208	11	8484	8484	NUM
easat-1097	208	12	vol	vol	NOUN
easat-1097	208	13	.	.	PROPN
easat-1097	208	14	8	8	NUM
easat-1097	208	15	,	,	PUNCT
easat-1097	208	16	no	no	INTJ
easat-1097	208	17	.	.	NOUN
easat-1097	209	1	4	4	NUM
easat-1097	209	2	:	:	SYM
easat-1097	209	3	1	1	NUM
easat-1097	209	4	-	-	SYM
easat-1097	209	5	11	11	NUM
easat-1097	209	6	,	,	PUNCT
easat-1097	209	7	2024	2024	NUM
easat-1097	209	8	doi	doi	NOUN
easat-1097	209	9	:	:	PUNCT
easat-1097	209	10	10.55214/25768484.v8i4.1097	10.55214/25768484.v8i4.1097	NUM
easat-1097	209	11	©	©	NOUN
easat-1097	209	12	2024	2024	NUM
easat-1097	209	13	by	by	ADP
easat-1097	209	14	the	the	DET
easat-1097	209	15	authors	author	NOUN
easat-1097	209	16	;	;	PUNCT
easat-1097	209	17	licensee	licensee	PROPN
easat-1097	209	18	learning	learn	VERB
easat-1097	209	19	gate	gate	NOUN
easat-1097	209	20	transparency	transparency	NOUN
easat-1097	209	21	:	:	PUNCT
easat-1097	209	22	the	the	DET
easat-1097	209	23	authors	author	NOUN
easat-1097	209	24	confirm	confirm	VERB
easat-1097	209	25	that	that	SCONJ
easat-1097	209	26	the	the	DET
easat-1097	209	27	manuscript	manuscript	NOUN
easat-1097	209	28	is	be	AUX
easat-1097	209	29	an	an	DET
easat-1097	209	30	honest	honest	ADJ
easat-1097	209	31	,	,	PUNCT
easat-1097	209	32	accurate	accurate	ADJ
easat-1097	209	33	,	,	PUNCT
easat-1097	209	34	and	and	CCONJ
easat-1097	209	35	transparent	transparent	ADJ
easat-1097	209	36	account	account	NOUN
easat-1097	209	37	of	of	ADP
easat-1097	209	38	the	the	DET
easat-1097	209	39	study	study	NOUN
easat-1097	209	40	;	;	PUNCT
easat-1097	209	41	that	that	SCONJ
easat-1097	209	42	no	no	DET
easat-1097	209	43	vital	vital	ADJ
easat-1097	209	44	features	feature	NOUN
easat-1097	209	45	of	of	ADP
easat-1097	209	46	the	the	DET
easat-1097	209	47	study	study	NOUN
easat-1097	209	48	have	have	AUX
easat-1097	209	49	been	be	AUX
easat-1097	209	50	omitted	omit	VERB
easat-1097	209	51	;	;	PUNCT
easat-1097	209	52	and	and	CCONJ
easat-1097	209	53	that	that	SCONJ
easat-1097	209	54	any	any	DET
easat-1097	209	55	discrepancies	discrepancy	NOUN
easat-1097	209	56	from	from	ADP
easat-1097	209	57	the	the	DET
easat-1097	209	58	study	study	NOUN
easat-1097	209	59	as	as	SCONJ
easat-1097	209	60	planned	plan	VERB
easat-1097	209	61	have	have	AUX
easat-1097	209	62	been	be	AUX
easat-1097	209	63	explained	explain	VERB
easat-1097	209	64	.	.	PUNCT
easat-1097	210	1	this	this	DET
easat-1097	210	2	study	study	NOUN
easat-1097	210	3	followed	follow	VERB
easat-1097	210	4	all	all	DET
easat-1097	210	5	ethical	ethical	ADJ
easat-1097	210	6	practices	practice	NOUN
easat-1097	210	7	during	during	ADP
easat-1097	210	8	writing	writing	NOUN
easat-1097	210	9	.	.	PUNCT
easat-1097	211	1	competing	compete	VERB
easat-1097	211	2	interests	interest	NOUN
easat-1097	211	3	:	:	PUNCT
easat-1097	211	4	the	the	DET
easat-1097	211	5	authors	author	NOUN
easat-1097	211	6	declare	declare	VERB
easat-1097	211	7	that	that	SCONJ
easat-1097	211	8	they	they	PRON
easat-1097	211	9	have	have	VERB
easat-1097	211	10	no	no	DET
easat-1097	211	11	competing	compete	VERB
easat-1097	211	12	interests	interest	NOUN
easat-1097	211	13	.	.	PUNCT
easat-1097	212	1	authors	author	NOUN
easat-1097	212	2	’	'	PUNCT
easat-1097	212	3	contributions	contribution	NOUN
easat-1097	212	4	:	:	PUNCT
easat-1097	212	5	all	all	DET
easat-1097	212	6	authors	author	NOUN
easat-1097	212	7	contributed	contribute	VERB
easat-1097	212	8	equally	equally	ADV
easat-1097	212	9	to	to	ADP
easat-1097	212	10	the	the	DET
easat-1097	212	11	conception	conception	NOUN
easat-1097	212	12	and	and	CCONJ
easat-1097	212	13	design	design	NOUN
easat-1097	212	14	of	of	ADP
easat-1097	212	15	the	the	DET
easat-1097	212	16	study	study	NOUN
easat-1097	212	17	.	.	PUNCT
easat-1097	213	1	all	all	DET
easat-1097	213	2	authors	author	NOUN
easat-1097	213	3	have	have	AUX
easat-1097	213	4	read	read	VERB
easat-1097	213	5	and	and	CCONJ
easat-1097	213	6	agreed	agree	VERB
easat-1097	213	7	to	to	ADP
easat-1097	213	8	the	the	DET
easat-1097	213	9	published	publish	VERB
easat-1097	213	10	version	version	NOUN
easat-1097	213	11	of	of	ADP
easat-1097	213	12	the	the	DET
easat-1097	213	13	manuscript	manuscript	NOUN
easat-1097	213	14	.	.	PUNCT
easat-1097	214	1	copyright	copyright	NOUN
easat-1097	214	2	:	:	PUNCT
easat-1097	214	3	©	©	PROPN
easat-1097	214	4	2024	2024	NUM
easat-1097	214	5	by	by	ADP
easat-1097	214	6	the	the	DET
easat-1097	214	7	authors	author	NOUN
easat-1097	214	8	.	.	PUNCT
easat-1097	215	1	this	this	DET
easat-1097	215	2	article	article	NOUN
easat-1097	215	3	is	be	AUX
easat-1097	215	4	an	an	DET
easat-1097	215	5	open	open	ADJ
easat-1097	215	6	access	access	NOUN
easat-1097	215	7	article	article	NOUN
easat-1097	215	8	distributed	distribute	VERB
easat-1097	215	9	under	under	ADP
easat-1097	215	10	the	the	DET
easat-1097	215	11	terms	term	NOUN
easat-1097	215	12	and	and	CCONJ
easat-1097	215	13	conditions	condition	NOUN
easat-1097	215	14	of	of	ADP
easat-1097	215	15	the	the	DET
easat-1097	215	16	creative	creative	ADJ
easat-1097	215	17	commons	common	NOUN
easat-1097	215	18	attribution	attribution	NOUN
easat-1097	215	19	(	(	PUNCT
easat-1097	215	20	cc	cc	NOUN
easat-1097	215	21	by	by	ADP
easat-1097	215	22	)	)	PUNCT
easat-1097	215	23	license	license	NOUN
easat-1097	215	24	(	(	PUNCT
easat-1097	215	25	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-1097	215	26	)	)	PUNCT
easat-1097	215	27	.	.	PUNCT
easat-1097	216	1	references	reference	NOUN
easat-1097	217	1	[	[	X
easat-1097	217	2	1	1	X
easat-1097	217	3	]	]	PUNCT
easat-1097	217	4	us	us	PROPN
easat-1097	217	5	epa	epa	PROPN
easat-1097	217	6	,	,	PUNCT
easat-1097	217	7	"	"	PUNCT
easat-1097	217	8	climate	climate	NOUN
easat-1097	217	9	change	change	NOUN
easat-1097	217	10	indicators	indicator	NOUN
easat-1097	217	11	:	:	PUNCT
easat-1097	217	12	heavy	heavy	ADJ
easat-1097	217	13	precipitation	precipitation	NOUN
easat-1097	218	1	[	[	X
easat-1097	218	2	reports	report	NOUN
easat-1097	218	3	and	and	CCONJ
easat-1097	218	4	assessments	assessment	NOUN
easat-1097	218	5	]	]	PUNCT
easat-1097	218	6	,	,	PUNCT
easat-1097	218	7	"	"	PUNCT
easat-1097	218	8	retrieved	retrieve	VERB
easat-1097	218	9	:	:	PUNCT
easat-1097	218	10	https://www.epa.gov/climate-indicators/climate-change-indicators-heavy-precipitation	https://www.epa.gov/climate-indicators/climate-change-indicators-heavy-precipitation	NUM
easat-1097	218	11	.	.	PUNCT
easat-1097	219	1	2016	2016	NUM
easat-1097	219	2	.	.	PUNCT
easat-1097	220	1	[	[	X
easat-1097	220	2	2	2	NUM
easat-1097	220	3	]	]	PUNCT
easat-1097	220	4	greenhouse	greenhouse	NOUN
easat-1097	220	5	gases	gas	NOUN
easat-1097	220	6	,	,	PUNCT
easat-1097	220	7	"	"	PUNCT
easat-1097	220	8	world	world	NOUN
easat-1097	220	9	meteorological	meteorological	ADJ
easat-1097	220	10	organization	organization	NOUN
easat-1097	220	11	,	,	PUNCT
easat-1097	220	12	"	"	PUNCT
easat-1097	220	13	retrieved	retrieve	VERB
easat-1097	220	14	:	:	PUNCT
easat-1097	220	15	https://wmo.int/topics/greenhousegases#:~:text=greenhouse%20gases%20(ghgs)%20in%20the,warming%20of%201.1%20%c2%b0c.&text=carbon	https://wmo.int/topics/greenhousegases#:~:text=greenhouse%20gases%20(ghgs)%20in%20the,warming%20of%201.1%20%c2%b0c.&text=carbon	PROPN
easat-1097	220	16	%	%	NOUN
easat-1097	220	17	20dioxide%20(co2)%20in%202021,higher%20than%20pre%2dindustrial%20levels	20dioxide%20(co2)%20in%202021,higher%20than%20pre%2dindustrial%20level	NOUN
easat-1097	220	18	.	.	PUNCT
easat-1097	220	19	2022	2022	NUM
easat-1097	220	20	.	.	PUNCT
easat-1097	221	1	[	[	X
easat-1097	221	2	3	3	X
easat-1097	221	3	]	]	X
easat-1097	221	4	l.	l.	PROPN
easat-1097	221	5	amarpuri	amarpuri	PROPN
easat-1097	221	6	,	,	PUNCT
easat-1097	221	7	n.	n.	PROPN
easat-1097	221	8	yadav	yadav	PROPN
easat-1097	221	9	,	,	PUNCT
easat-1097	221	10	g.	g.	PROPN
easat-1097	221	11	kumar	kumar	PROPN
easat-1097	221	12	,	,	PUNCT
easat-1097	221	13	and	and	CCONJ
easat-1097	221	14	s.	s.	PROPN
easat-1097	221	15	agrawal	agrawal	PROPN
easat-1097	221	16	,	,	PUNCT
easat-1097	221	17	"	"	PUNCT
easat-1097	221	18	prediction	prediction	NOUN
easat-1097	221	19	of	of	ADP
easat-1097	221	20	co2	co2	NOUN
easat-1097	221	21	emissions	emission	NOUN
easat-1097	221	22	using	use	VERB
easat-1097	221	23	deep	deep	ADJ
easat-1097	221	24	learning	learn	VERB
easat-1097	221	25	hybrid	hybrid	ADJ
easat-1097	221	26	approach	approach	NOUN
easat-1097	221	27	:	:	PUNCT
easat-1097	221	28	a	a	DET
easat-1097	221	29	case	case	NOUN
easat-1097	221	30	study	study	NOUN
easat-1097	221	31	in	in	ADP
easat-1097	221	32	indian	indian	ADJ
easat-1097	221	33	context	context	NOUN
easat-1097	221	34	,	,	PUNCT
easat-1097	221	35	"	"	PUNCT
easat-1097	221	36	presented	present	VERB
easat-1097	221	37	at	at	ADP
easat-1097	221	38	the	the	DET
easat-1097	221	39	2019	2019	NUM
easat-1097	221	40	twelfth	twelfth	ADJ
easat-1097	221	41	international	international	ADJ
easat-1097	221	42	conference	conference	NOUN
easat-1097	221	43	on	on	ADP
easat-1097	221	44	contemporary	contemporary	ADJ
easat-1097	221	45	computing	computing	PROPN
easat-1097	221	46	(	(	PUNCT
easat-1097	221	47	ic3	ic3	PROPN
easat-1097	221	48	)	)	PUNCT
easat-1097	221	49	.	.	PUNCT
easat-1097	222	1	https://doi.org/10.1109/ic3.2019.8844902	https://doi.org/10.1109/ic3.2019.8844902	PROPN
easat-1097	222	2	,	,	PUNCT
easat-1097	222	3	2019	2019	NUM
easat-1097	222	4	.	.	PUNCT
easat-1097	223	1	[	[	X
easat-1097	223	2	4	4	X
easat-1097	223	3	]	]	X
easat-1097	223	4	e.	e.	PROPN
easat-1097	223	5	c.	c.	PROPN
easat-1097	223	6	c.	c.	PROPN
easat-1097	223	7	canada	canada	PROPN
easat-1097	223	8	,	,	PUNCT
easat-1097	223	9	"	"	PUNCT
easat-1097	223	10	climate	climate	NOUN
easat-1097	223	11	change	change	NOUN
easat-1097	223	12	concepts	concept	NOUN
easat-1097	223	13	,	,	PUNCT
easat-1097	223	14	"	"	PUNCT
easat-1097	223	15	retrieved	retrieve	VERB
easat-1097	223	16	:	:	PUNCT
easat-1097	223	17	https://www.canada.ca/en/environment-climatechange/services/climate-change/canadian-centre-climate-services/basics/concepts.html	https://www.canada.ca/en/environment-climatechange/services/climate-change/canadian-centre-climate-services/basics/concepts.html	PROPN
easat-1097	223	18	.	.	PUNCT
easat-1097	224	1	[	[	X
easat-1097	224	2	accessed	access	VERB
easat-1097	224	3	2018	2018	NUM
easat-1097	224	4	.	.	PUNCT
easat-1097	225	1	[	[	X
easat-1097	225	2	5	5	X
easat-1097	225	3	]	]	PUNCT
easat-1097	225	4	j.	j.	PROPN
easat-1097	225	5	yuan	yuan	PROPN
easat-1097	225	6	,	,	PUNCT
easat-1097	225	7	y.	y.	PROPN
easat-1097	225	8	xu	xu	PROPN
easat-1097	225	9	,	,	PUNCT
easat-1097	225	10	and	and	CCONJ
easat-1097	225	11	x.	x.	NOUN
easat-1097	225	12	zhang	zhang	PROPN
easat-1097	225	13	,	,	PUNCT
easat-1097	225	14	"	"	PUNCT
easat-1097	225	15	income	income	NOUN
easat-1097	225	16	growth	growth	NOUN
easat-1097	225	17	,	,	PUNCT
easat-1097	225	18	energy	energy	NOUN
easat-1097	225	19	consumption	consumption	NOUN
easat-1097	225	20	,	,	PUNCT
easat-1097	225	21	and	and	CCONJ
easat-1097	225	22	carbon	carbon	NOUN
easat-1097	225	23	emissions	emission	NOUN
easat-1097	225	24	:	:	PUNCT
easat-1097	225	25	the	the	DET
easat-1097	225	26	case	case	NOUN
easat-1097	225	27	of	of	ADP
easat-1097	225	28	china	china	PROPN
easat-1097	225	29	,	,	PUNCT
easat-1097	225	30	"	"	PUNCT
easat-1097	225	31	emerging	emerge	VERB
easat-1097	225	32	markets	market	NOUN
easat-1097	225	33	finance	finance	NOUN
easat-1097	225	34	and	and	CCONJ
easat-1097	225	35	trade	trade	NOUN
easat-1097	225	36	,	,	PUNCT
easat-1097	225	37	vol	vol	NOUN
easat-1097	225	38	.	.	PROPN
easat-1097	226	1	50	50	NUM
easat-1097	226	2	,	,	PUNCT
easat-1097	226	3	no	no	INTJ
easat-1097	226	4	.	.	NOUN
easat-1097	226	5	5	5	NUM
easat-1097	226	6	,	,	PUNCT
easat-1097	226	7	pp	pp	ADJ
easat-1097	226	8	.	.	PUNCT
easat-1097	227	1	169	169	NUM
easat-1097	227	2	-	-	SYM
easat-1097	227	3	181	181	NUM
easat-1097	227	4	,	,	PUNCT
easat-1097	227	5	2014	2014	NUM
easat-1097	227	6	.	.	PUNCT
easat-1097	228	1	[	[	X
easat-1097	228	2	6	6	NUM
easat-1097	228	3	]	]	X
easat-1097	228	4	y.	y.	PROPN
easat-1097	228	5	liu	liu	PROPN
easat-1097	228	6	and	and	CCONJ
easat-1097	228	7	y.	y.	PROPN
easat-1097	228	8	hao	hao	PROPN
easat-1097	228	9	,	,	PUNCT
easat-1097	228	10	"	"	PUNCT
easat-1097	228	11	the	the	DET
easat-1097	228	12	dynamic	dynamic	ADJ
easat-1097	228	13	links	link	NOUN
easat-1097	228	14	between	between	ADP
easat-1097	228	15	co2	co2	NOUN
easat-1097	228	16	emissions	emission	NOUN
easat-1097	228	17	,	,	PUNCT
easat-1097	228	18	energy	energy	NOUN
easat-1097	228	19	consumption	consumption	NOUN
easat-1097	228	20	and	and	CCONJ
easat-1097	228	21	economic	economic	ADJ
easat-1097	228	22	development	development	NOUN
easat-1097	228	23	in	in	ADP
easat-1097	228	24	the	the	DET
easat-1097	228	25	countries	country	NOUN
easat-1097	228	26	along	along	ADP
easat-1097	228	27	“	"	PUNCT
easat-1097	228	28	the	the	DET
easat-1097	228	29	belt	belt	NOUN
easat-1097	228	30	and	and	CCONJ
easat-1097	228	31	road	road	NOUN
easat-1097	228	32	”	"	PUNCT
easat-1097	228	33	,	,	PUNCT
easat-1097	228	34	"	"	PUNCT
easat-1097	228	35	science	science	NOUN
easat-1097	228	36	of	of	ADP
easat-1097	228	37	the	the	DET
easat-1097	228	38	total	total	ADJ
easat-1097	228	39	environment	environment	NOUN
easat-1097	228	40	,	,	PUNCT
easat-1097	228	41	vol	vol	NOUN
easat-1097	228	42	.	.	PROPN
easat-1097	229	1	645	645	NUM
easat-1097	229	2	,	,	PUNCT
easat-1097	229	3	pp	pp	ADJ
easat-1097	229	4	.	.	PUNCT
easat-1097	230	1	674	674	NUM
easat-1097	230	2	-	-	SYM
easat-1097	230	3	683	683	NUM
easat-1097	230	4	,	,	PUNCT
easat-1097	230	5	2018	2018	NUM
easat-1097	230	6	.	.	PUNCT
easat-1097	231	1	https://doi.org/10.1016/j.scitotenv.2018.07.062	https://doi.org/10.1016/j.scitotenv.2018.07.062	PRON
easat-1097	231	2	[	[	X
easat-1097	231	3	7	7	NUM
easat-1097	231	4	]	]	X
easat-1097	231	5	q.	q.	PROPN
easat-1097	231	6	munir	munir	PROPN
easat-1097	231	7	,	,	PUNCT
easat-1097	231	8	h.	h.	PROPN
easat-1097	231	9	h.	h.	PROPN
easat-1097	231	10	lean	lean	PROPN
easat-1097	231	11	,	,	PUNCT
easat-1097	231	12	and	and	CCONJ
easat-1097	231	13	r.	r.	PROPN
easat-1097	231	14	smyth	smyth	PROPN
easat-1097	231	15	,	,	PUNCT
easat-1097	231	16	"	"	PUNCT
easat-1097	231	17	co2	co2	NOUN
easat-1097	231	18	emissions	emission	NOUN
easat-1097	231	19	,	,	PUNCT
easat-1097	231	20	energy	energy	NOUN
easat-1097	231	21	consumption	consumption	NOUN
easat-1097	231	22	and	and	CCONJ
easat-1097	231	23	economic	economic	ADJ
easat-1097	231	24	growth	growth	NOUN
easat-1097	231	25	in	in	ADP
easat-1097	231	26	the	the	DET
easat-1097	231	27	asean-5	asean-5	NUM
easat-1097	231	28	countries	country	NOUN
easat-1097	231	29	:	:	PUNCT
easat-1097	231	30	a	a	DET
easat-1097	231	31	cross	cross	ADJ
easat-1097	231	32	-	-	ADJ
easat-1097	231	33	sectional	sectional	ADJ
easat-1097	231	34	dependence	dependence	NOUN
easat-1097	231	35	approach	approach	NOUN
easat-1097	231	36	,	,	PUNCT
easat-1097	231	37	"	"	PUNCT
easat-1097	231	38	energy	energy	NOUN
easat-1097	231	39	economics	economic	NOUN
easat-1097	231	40	,	,	PUNCT
easat-1097	231	41	vol	vol	NOUN
easat-1097	231	42	.	.	PROPN
easat-1097	231	43	85	85	NUM
easat-1097	231	44	,	,	PUNCT
easat-1097	231	45	p.	p.	NOUN
easat-1097	231	46	104571	104571	NUM
easat-1097	231	47	,	,	PUNCT
easat-1097	231	48	2020	2020	NUM
easat-1097	231	49	.	.	PUNCT
easat-1097	232	1	https://doi.org/10.1016/j.eneco.2019.104571	https://doi.org/10.1016/j.eneco.2019.104571	PROPN
easat-1097	233	1	[	[	X
easat-1097	233	2	8	8	NUM
easat-1097	233	3	]	]	PUNCT
easat-1097	233	4	a.	a.	NOUN
easat-1097	233	5	luccioni	luccioni	PROPN
easat-1097	233	6	,	,	PUNCT
easat-1097	233	7	a.	a.	NOUN
easat-1097	233	8	lacoste	lacoste	NOUN
easat-1097	233	9	,	,	PUNCT
easat-1097	233	10	and	and	CCONJ
easat-1097	233	11	v.	v.	ADP
easat-1097	233	12	schmidt	schmidt	NOUN
easat-1097	233	13	,	,	PUNCT
easat-1097	233	14	"	"	PUNCT
easat-1097	233	15	estimating	estimate	VERB
easat-1097	233	16	carbon	carbon	NOUN
easat-1097	233	17	emissions	emission	NOUN
easat-1097	233	18	of	of	ADP
easat-1097	233	19	artificial	artificial	ADJ
easat-1097	233	20	intelligence	intelligence	NOUN
easat-1097	234	1	[	[	X
easat-1097	234	2	opinion	opinion	NOUN
easat-1097	234	3	]	]	PUNCT
easat-1097	234	4	,	,	PUNCT
easat-1097	234	5	"	"	PUNCT
easat-1097	234	6	ieee	ieee	NOUN
easat-1097	234	7	technology	technology	NOUN
easat-1097	234	8	and	and	CCONJ
easat-1097	234	9	society	society	NOUN
easat-1097	234	10	magazine	magazine	NOUN
easat-1097	234	11	,	,	PUNCT
easat-1097	234	12	vol	vol	NOUN
easat-1097	234	13	.	.	PROPN
easat-1097	234	14	39	39	NUM
easat-1097	234	15	,	,	PUNCT
easat-1097	234	16	no	no	INTJ
easat-1097	234	17	.	.	NOUN
easat-1097	234	18	2	2	NUM
easat-1097	234	19	,	,	PUNCT
easat-1097	234	20	pp	pp	ADJ
easat-1097	234	21	.	.	PUNCT
easat-1097	235	1	48	48	NUM
easat-1097	235	2	-	-	SYM
easat-1097	235	3	51	51	NUM
easat-1097	235	4	,	,	PUNCT
easat-1097	235	5	2020	2020	NUM
easat-1097	235	6	.	.	PUNCT
easat-1097	236	1	https://doi.org/10.1109/mts.2020.2991496	https://doi.org/10.1109/mts.2020.2991496	NOUN
easat-1097	236	2	[	[	X
easat-1097	236	3	9	9	NUM
easat-1097	236	4	]	]	SYM
easat-1097	236	5	r.	r.	PROPN
easat-1097	236	6	p.	p.	PROPN
easat-1097	236	7	masini	masini	PROPN
easat-1097	236	8	,	,	PUNCT
easat-1097	236	9	m.	m.	PROPN
easat-1097	236	10	c.	c.	PROPN
easat-1097	236	11	medeiros	medeiros	PROPN
easat-1097	236	12	,	,	PUNCT
easat-1097	236	13	and	and	CCONJ
easat-1097	236	14	e.	e.	PROPN
easat-1097	236	15	f.	f.	PROPN
easat-1097	236	16	mendes	mendes	PROPN
easat-1097	236	17	,	,	PUNCT
easat-1097	236	18	"	"	PUNCT
easat-1097	236	19	machine	machine	NOUN
easat-1097	236	20	learning	learning	NOUN
easat-1097	236	21	advances	advance	NOUN
easat-1097	236	22	for	for	ADP
easat-1097	236	23	time	time	NOUN
easat-1097	236	24	series	series	PROPN
easat-1097	236	25	forecasting	forecasting	NOUN
easat-1097	236	26	,	,	PUNCT
easat-1097	236	27	"	"	PUNCT
easat-1097	236	28	journal	journal	NOUN
easat-1097	236	29	of	of	ADP
easat-1097	236	30	economic	economic	ADJ
easat-1097	236	31	surveys	survey	NOUN
easat-1097	236	32	,	,	PUNCT
easat-1097	236	33	vol	vol	NOUN
easat-1097	236	34	.	.	PROPN
easat-1097	237	1	37	37	NUM
easat-1097	237	2	,	,	PUNCT
easat-1097	237	3	no	no	INTJ
easat-1097	237	4	.	.	NOUN
easat-1097	237	5	1	1	NUM
easat-1097	237	6	,	,	PUNCT
easat-1097	237	7	pp	pp	ADJ
easat-1097	237	8	.	.	PUNCT
easat-1097	238	1	76	76	NUM
easat-1097	238	2	-	-	SYM
easat-1097	238	3	111	111	NUM
easat-1097	238	4	,	,	PUNCT
easat-1097	238	5	2023	2023	NUM
easat-1097	238	6	.	.	PUNCT
easat-1097	239	1	[	[	X
easat-1097	239	2	10	10	NUM
easat-1097	239	3	]	]	X
easat-1097	239	4	c.	c.	PROPN
easat-1097	239	5	saleh	saleh	PROPN
easat-1097	239	6	,	,	PUNCT
easat-1097	239	7	n.	n.	PROPN
easat-1097	239	8	r.	r.	PROPN
easat-1097	239	9	dzakiyullah	dzakiyullah	PROPN
easat-1097	239	10	,	,	PUNCT
easat-1097	239	11	and	and	CCONJ
easat-1097	239	12	j.	j.	PROPN
easat-1097	239	13	b.	b.	PROPN
easat-1097	239	14	nugroho	nugroho	PROPN
easat-1097	239	15	,	,	PUNCT
easat-1097	239	16	"	"	PUNCT
easat-1097	239	17	carbon	carbon	NOUN
easat-1097	239	18	dioxide	dioxide	NOUN
easat-1097	239	19	emission	emission	NOUN
easat-1097	239	20	prediction	prediction	NOUN
easat-1097	239	21	using	use	VERB
easat-1097	239	22	support	support	NOUN
easat-1097	239	23	vector	vector	NOUN
easat-1097	239	24	machine	machine	NOUN
easat-1097	239	25	,	,	PUNCT
easat-1097	239	26	"	"	PUNCT
easat-1097	239	27	presented	present	VERB
easat-1097	239	28	at	at	ADP
easat-1097	239	29	the	the	DET
easat-1097	239	30	iop	iop	PROPN
easat-1097	239	31	conference	conference	PROPN
easat-1097	239	32	series	series	NOUN
easat-1097	239	33	:	:	PUNCT
easat-1097	239	34	materials	material	NOUN
easat-1097	239	35	science	science	NOUN
easat-1097	239	36	and	and	CCONJ
easat-1097	239	37	engineering	engineering	NOUN
easat-1097	239	38	,	,	PUNCT
easat-1097	239	39	2016	2016	NUM
easat-1097	239	40	.	.	PUNCT
easat-1097	240	1	[	[	X
easat-1097	240	2	11	11	NUM
easat-1097	240	3	]	]	PUNCT
easat-1097	240	4	m.	m.	NOUN
easat-1097	240	5	rao	rao	PROPN
easat-1097	240	6	,	,	PUNCT
easat-1097	240	7	"	"	PUNCT
easat-1097	240	8	machine	machine	NOUN
easat-1097	240	9	learning	learning	NOUN
easat-1097	240	10	in	in	ADP
easat-1097	240	11	estimating	estimate	VERB
easat-1097	240	12	co	co	X
easat-1097	240	13	2	2	NUM
easat-1097	240	14	emissions	emission	NOUN
easat-1097	240	15	from	from	ADP
easat-1097	240	16	electricity	electricity	NOUN
easat-1097	240	17	generation	generation	NOUN
easat-1097	240	18	.	.	PUNCT
easat-1097	241	1	in	in	ADP
easat-1097	241	2	engineering	engineering	NOUN
easat-1097	241	3	problemsuncertainties	problemsuncertaintie	NOUN
easat-1097	241	4	,	,	PUNCT
easat-1097	241	5	constraints	constraint	NOUN
easat-1097	241	6	and	and	CCONJ
easat-1097	241	7	optimization	optimization	NOUN
easat-1097	241	8	techniques	technique	NOUN
easat-1097	241	9	,	,	PUNCT
easat-1097	241	10	"	"	PUNCT
easat-1097	241	11	2021	2021	NUM
easat-1097	241	12	.	.	PUNCT
easat-1097	241	13	https://doi.org/10.5772/intechopen.97452	https://doi.org/10.5772/intechopen.97452	NOUN
easat-1097	241	14	[	[	X
easat-1097	241	15	12	12	NUM
easat-1097	241	16	]	]	PUNCT
easat-1097	241	17	r.	r.	PROPN
easat-1097	241	18	l.	l.	PROPN
easat-1097	241	19	m.	m.	PROPN
easat-1097	241	20	tavares	tavares	PROPN
easat-1097	241	21	,	,	PUNCT
easat-1097	241	22	s.	s.	PROPN
easat-1097	241	23	r.	r.	PROPN
easat-1097	241	24	d.	d.	PROPN
easat-1097	241	25	m.	m.	PROPN
easat-1097	241	26	oliveira	oliveira	PROPN
easat-1097	241	27	,	,	PUNCT
easat-1097	241	28	f.	f.	PROPN
easat-1097	241	29	m.	m.	PROPN
easat-1097	241	30	m.	m.	PROPN
easat-1097	241	31	d.	d.	PROPN
easat-1097	241	32	barros	barros	PROPN
easat-1097	241	33	,	,	PUNCT
easat-1097	241	34	c.	c.	PROPN
easat-1097	241	35	v.	v.	PROPN
easat-1097	241	36	v.	v.	ADP
easat-1097	241	37	farhate	farhate	PROPN
easat-1097	241	38	,	,	PUNCT
easat-1097	241	39	z.	z.	PROPN
easat-1097	241	40	m.	m.	PROPN
easat-1097	241	41	d.	d.	PROPN
easat-1097	241	42	souza	souza	PROPN
easat-1097	241	43	,	,	PUNCT
easat-1097	241	44	and	and	CCONJ
easat-1097	241	45	n.	n.	PROPN
easat-1097	241	46	l.	l.	PROPN
easat-1097	241	47	scala	scala	PROPN
easat-1097	241	48	junior	junior	PROPN
easat-1097	241	49	,	,	PUNCT
easat-1097	241	50	"	"	PUNCT
easat-1097	241	51	prediction	prediction	NOUN
easat-1097	241	52	of	of	ADP
easat-1097	241	53	soil	soil	NOUN
easat-1097	241	54	co	co	NOUN
easat-1097	241	55	2	2	NUM
easat-1097	241	56	flux	flux	NOUN
easat-1097	241	57	in	in	ADP
easat-1097	241	58	sugarcane	sugarcane	NOUN
easat-1097	241	59	management	management	NOUN
easat-1097	241	60	systems	system	NOUN
easat-1097	241	61	using	use	VERB
easat-1097	241	62	the	the	DET
easat-1097	241	63	random	random	ADJ
easat-1097	241	64	forest	forest	NOUN
easat-1097	241	65	approach	approach	NOUN
easat-1097	241	66	,	,	PUNCT
easat-1097	241	67	"	"	PUNCT
easat-1097	241	68	scientia	scientia	PROPN
easat-1097	241	69	agricola	agricola	PROPN
easat-1097	241	70	,	,	PUNCT
easat-1097	241	71	vol	vol	NOUN
easat-1097	241	72	.	.	PROPN
easat-1097	242	1	75	75	NUM
easat-1097	242	2	,	,	PUNCT
easat-1097	242	3	pp	pp	ADJ
easat-1097	242	4	.	.	PUNCT
easat-1097	243	1	281	281	NUM
easat-1097	243	2	-	-	SYM
easat-1097	243	3	287	287	NUM
easat-1097	243	4	,	,	PUNCT
easat-1097	243	5	2018	2018	NUM
easat-1097	243	6	.	.	PUNCT
easat-1097	244	1	https://doi.org/10.1590/1678-992x-2017-0095	https://doi.org/10.1590/1678-992x-2017-0095	NOUN
easat-1097	245	1	[	[	X
easat-1097	245	2	13	13	NUM
easat-1097	245	3	]	]	PUNCT
easat-1097	245	4	j.	j.	PROPN
easat-1097	245	5	li	li	PROPN
easat-1097	245	6	,	,	PUNCT
easat-1097	245	7	l.	l.	PROPN
easat-1097	245	8	pan	pan	PROPN
easat-1097	245	9	,	,	PUNCT
easat-1097	245	10	m.	m.	NOUN
easat-1097	245	11	suvarna	suvarna	NOUN
easat-1097	245	12	,	,	PUNCT
easat-1097	245	13	y.	y.	PROPN
easat-1097	245	14	w.	w.	PROPN
easat-1097	245	15	tong	tong	PROPN
easat-1097	245	16	,	,	PUNCT
easat-1097	245	17	and	and	CCONJ
easat-1097	245	18	x.	x.	NOUN
easat-1097	245	19	wang	wang	PROPN
easat-1097	245	20	,	,	PUNCT
easat-1097	245	21	"	"	PUNCT
easat-1097	245	22	fuel	fuel	NOUN
easat-1097	245	23	properties	property	NOUN
easat-1097	245	24	of	of	ADP
easat-1097	245	25	hydrochar	hydrochar	ADJ
easat-1097	245	26	and	and	CCONJ
easat-1097	245	27	pyrochar	pyrochar	NOUN
easat-1097	245	28	:	:	PUNCT
easat-1097	245	29	prediction	prediction	NOUN
easat-1097	245	30	and	and	CCONJ
easat-1097	245	31	exploration	exploration	NOUN
easat-1097	245	32	with	with	ADP
easat-1097	245	33	machine	machine	NOUN
easat-1097	245	34	learning	learning	NOUN
easat-1097	245	35	,	,	PUNCT
easat-1097	245	36	"	"	PUNCT
easat-1097	245	37	applied	apply	VERB
easat-1097	245	38	energy	energy	NOUN
easat-1097	245	39	,	,	PUNCT
easat-1097	245	40	vol	vol	NOUN
easat-1097	245	41	.	.	PROPN
easat-1097	245	42	269	269	NUM
easat-1097	245	43	,	,	PUNCT
easat-1097	245	44	p.	p.	NOUN
easat-1097	245	45	115166	115166	NUM
easat-1097	245	46	,	,	PUNCT
easat-1097	245	47	2020	2020	NUM
easat-1097	245	48	.	.	PUNCT
easat-1097	246	1	https://doi.org/10.1016/j.apenergy.2020.115166	https://doi.org/10.1016/j.apenergy.2020.115166	ADJ
easat-1097	246	2	[	[	X
easat-1097	246	3	14	14	NUM
easat-1097	246	4	]	]	X
easat-1097	246	5	d.	d.	PROPN
easat-1097	246	6	cogoljević	cogoljević	PROPN
easat-1097	246	7	,	,	PUNCT
easat-1097	246	8	m.	m.	NOUN
easat-1097	246	9	alizamir	alizamir	PROPN
easat-1097	246	10	,	,	PUNCT
easat-1097	246	11	i.	i.	PROPN
easat-1097	246	12	piljan	piljan	PROPN
easat-1097	246	13	,	,	PUNCT
easat-1097	246	14	t.	t.	PROPN
easat-1097	246	15	piljan	piljan	PROPN
easat-1097	246	16	,	,	PUNCT
easat-1097	246	17	k.	k.	PROPN
easat-1097	246	18	prljić	prljić	PROPN
easat-1097	246	19	,	,	PUNCT
easat-1097	246	20	and	and	CCONJ
easat-1097	246	21	s.	s.	PROPN
easat-1097	246	22	zimonjić	zimonjić	PROPN
easat-1097	246	23	,	,	PUNCT
easat-1097	246	24	"	"	PUNCT
easat-1097	246	25	a	a	DET
easat-1097	246	26	machine	machine	NOUN
easat-1097	246	27	learning	learn	VERB
easat-1097	246	28	approach	approach	NOUN
easat-1097	246	29	for	for	ADP
easat-1097	246	30	predicting	predict	VERB
easat-1097	246	31	the	the	DET
easat-1097	246	32	relationship	relationship	NOUN
easat-1097	246	33	between	between	ADP
easat-1097	246	34	energy	energy	NOUN
easat-1097	246	35	resources	resource	NOUN
easat-1097	246	36	and	and	CCONJ
easat-1097	246	37	economic	economic	ADJ
easat-1097	246	38	development	development	NOUN
easat-1097	246	39	,	,	PUNCT
easat-1097	246	40	"	"	PUNCT
easat-1097	246	41	physica	physica	NOUN
easat-1097	246	42	a	a	DET
easat-1097	246	43	:	:	PUNCT
easat-1097	246	44	statistical	statistical	ADJ
easat-1097	246	45	mechanics	mechanic	NOUN
easat-1097	246	46	and	and	CCONJ
easat-1097	246	47	its	its	PRON
easat-1097	246	48	applications	application	NOUN
easat-1097	246	49	,	,	PUNCT
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easat-1097	246	53	,	,	PUNCT
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easat-1097	247	1	211	211	NUM
easat-1097	247	2	-	-	SYM
easat-1097	247	3	214	214	NUM
easat-1097	247	4	,	,	PUNCT
easat-1097	247	5	2018	2018	NUM
easat-1097	247	6	.	.	PUNCT
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easat-1097	248	4	]	]	PUNCT
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easat-1097	248	12	)	)	PUNCT
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easat-1097	248	16	policy	policy	NOUN
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easat-1097	248	18	planning	planning	NOUN
easat-1097	248	19	office	office	NOUN
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easat-1097	248	22	retrieved	retrieve	VERB
easat-1097	248	23	:	:	PUNCT
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easat-1097	250	10	,	,	PUNCT
easat-1097	250	11	"	"	PUNCT
easat-1097	250	12	retrieved	retrieve	VERB
easat-1097	250	13	:	:	PUNCT
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easat-1097	251	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
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easat-1097	251	15	https://www.worldometers.info/co2-emissions/	https://www.worldometers.info/co2-emissions/	NOUN
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easat-1097	253	2	:	:	SYM
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easat-1097	254	14	database	database	NOUN
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easat-1097	254	16	global	global	ADJ
easat-1097	254	17	atmospheric	atmospheric	ADJ
easat-1097	254	18	research	research	NOUN
easat-1097	254	19	,	,	PUNCT
easat-1097	254	20	"	"	PUNCT
easat-1097	254	21	retrieved	retrieve	VERB
easat-1097	254	22	:	:	PUNCT
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easat-1097	255	17	and	and	CCONJ
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easat-1097	255	19	science	science	NOUN
easat-1097	255	20	.	.	PUNCT
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easat-1097	256	12	.	.	PUNCT
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easat-1097	258	11	"	"	PUNCT
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easat-1097	258	19	,	,	PUNCT
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easat-1097	258	25	.	.	PUNCT
easat-1097	259	1	5–32	5–32	NOUN
easat-1097	259	2	,	,	PUNCT
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easat-1097	260	13	and	and	CCONJ
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easat-1097	260	16	:	:	PUNCT
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