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dc.contributor.authorRen, Huamin
dc.contributor.authorSu, Xiaomeng
dc.contributor.authorJenssen, Robert
dc.contributor.authorLi, Jingyue
dc.contributor.authorAnfinsen, Stian Normann
dc.date.accessioned2023-02-09T06:59:06Z
dc.date.available2023-02-09T06:59:06Z
dc.date.created2023-01-14T06:43:08Z
dc.date.issued2022
dc.identifier.citation2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids - SmartGridCommen_US
dc.identifier.isbn978-1-6654-3254-2
dc.identifier.urihttps://hdl.handle.net/11250/3049457
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids - SmartGridComm
dc.titleAttention-guided Temporal Convolutional Network for Non-intrusive Load Monitoringen_US
dc.title.alternativeAttention-guided Temporal Convolutional Network for Non-intrusive Load Monitoringen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksen_US
dc.source.pagenumber419-425en_US
dc.identifier.doi10.1109/SmartGridComm52983.2022.9960976
dc.identifier.cristin2106947
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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