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dc.contributor.authorHsu, Chia-Wei
dc.contributor.authorXiong, Rui
dc.contributor.authorChen, Nan-Yow
dc.contributor.authorLi, Ju
dc.contributor.authorTsou, Nien-Ti
dc.date.accessioned2023-01-20T16:49:51Z
dc.date.available2023-01-20T16:49:51Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/147609
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.APENERGY.2021.118134en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleDeep neural network battery life and voltage prediction by using data of one cycle onlyen_US
dc.typeArticleen_US
dc.identifier.citationHsu, Chia-Wei, Xiong, Rui, Chen, Nan-Yow, Li, Ju and Tsou, Nien-Ti. 2022. "Deep neural network battery life and voltage prediction by using data of one cycle only." Applied Energy, 306.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineeringen_US
dc.relation.journalApplied Energyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-01-20T16:27:15Z
dspace.orderedauthorsHsu, C-W; Xiong, R; Chen, N-Y; Li, J; Tsou, N-Ten_US
dspace.date.submission2023-01-20T16:27:21Z
mit.journal.volume306en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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