Machine learning assisted representative period selection as input to modelling of field degradation in photovoltaic modules

dc.contributor.author	Otnes, Gaute
dc.contributor.author	Lindholm, Dag
dc.contributor.author	Fjær, Hallvard Gustav
dc.contributor.author	Seljom, Pernille
dc.contributor.author	Foss, Sean Erik
dc.date.accessioned	2023-11-07T07:44:47Z
dc.date.available	2023-11-07T07:44:47Z
dc.date.created	2023-11-01T09:28:10Z
dc.date.issued	2023
dc.identifier.citation	Solar Energy Materials and Solar Cells. 2023, 263 .	en_US
dc.identifier.issn	0927-0248
dc.identifier.uri	https://hdl.handle.net/11250/3100913
dc.language.iso	eng	en_US
dc.rights	Navngivelse 4.0 Internasjonal	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/deed.no	*
dc.title	Machine learning assisted representative period selection as input to modelling of field degradation in photovoltaic modules	en_US
dc.title.alternative	Machine learning assisted representative period selection as input to modelling of field degradation in photovoltaic modules	en_US
dc.type	Peer reviewed	en_US
dc.type	Journal article	en_US
dc.description.version	publishedVersion	en_US
dc.rights.holder	© 2023 The Authors. Published by Elsevier B.V.	en_US
dc.source.pagenumber	9	en_US
dc.source.volume	263	en_US
dc.source.journal	Solar Energy Materials and Solar Cells	en_US
dc.identifier.doi	10.1016/j.solmat.2023.112559
dc.identifier.cristin	2190820
dc.relation.project	EC/H2020/818009	en_US
cristin.ispublished	true
cristin.fulltext	original
cristin.qualitycode	2

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