Study and analysis of SARIMA and LSTM in forecasting time series data

dc.contributor.author	Dubey, Ashutosh Kumar
dc.contributor.author	Kumar, Abhishek
dc.contributor.author	García Díaz, Vicente
dc.contributor.author	Sharma, Arpit Kumar
dc.contributor.author	Kanhaiya, Kishan
dc.date.accessioned	2022-04-22T11:14:17Z
dc.date.available	2022-04-22T11:14:17Z
dc.date.issued	2021
dc.identifier.citation	Sustainable Energy Technologies and Assessments, 47 (2021); doi:10.1016/j.seta.2021.101474
dc.identifier.issn	2213-1388
dc.identifier.issn	2213-1396
dc.identifier.uri	http://hdl.handle.net/10651/62960
dc.language.iso	eng
dc.relation.ispartof	Sustainable energy technologies and assessments
dc.rights	© 2021 Elsevier Ltd
dc.source	WOS:000710837900005
dc.title	Study and analysis of SARIMA and LSTM in forecasting time series data
dc.type	journal article
dc.identifier.doi	10.1016/j.seta.2021.101474
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.seta.2021.101474

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