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

dc.contributor.authorDubey, Ashutosh Kumar
dc.contributor.authorKumar, Abhishek
dc.contributor.authorGarcía Díaz, Vicente 
dc.contributor.authorSharma, Arpit Kumar
dc.contributor.authorKanhaiya, Kishan
dc.date.accessioned2022-04-22T11:14:17Z
dc.date.available2022-04-22T11:14:17Z
dc.date.issued2021
dc.identifier.citationSustainable Energy Technologies and Assessments, 47 (2021); doi:10.1016/j.seta.2021.101474
dc.identifier.issn2213-1388
dc.identifier.issn2213-1396
dc.identifier.urihttp://hdl.handle.net/10651/62960
dc.language.isoeng
dc.relation.ispartofSustainable energy technologies and assessments
dc.rights© 2021 Elsevier Ltd
dc.sourceWOS:000710837900005
dc.titleStudy and analysis of SARIMA and LSTM in forecasting time series data
dc.typejournal article
dc.identifier.doi10.1016/j.seta.2021.101474
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.seta.2021.101474


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