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Validation Methods for Energy Time Series Scenarios From Deep Generative Models

dc.contributor.authorCramer, Eike
dc.contributor.authorRydin Gorjao, Leonardo
dc.contributor.authorMitsos, Alexander
dc.contributor.authorSchäfer, Benjamin
dc.contributor.authorWitthaut, Dirk
dc.contributor.authorDahmen, Manuel
dc.date.accessioned2023-03-23T14:39:06Z
dc.date.available2023-03-23T14:39:06Z
dc.date.created2022-05-19T14:12:56Z
dc.date.issued2022
dc.identifier.citationIEEE Access. 2022, 10 8194-8207.
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/11250/3060215
dc.language.isoeng
dc.titleValidation Methods for Energy Time Series Scenarios From Deep Generative Models
dc.title.alternativeValidation Methods for Energy Time Series Scenarios From Deep Generative Models
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber8194-8207
dc.source.volume10
dc.source.journalIEEE Access
dc.identifier.doi10.1109/ACCESS.2022.3141875
dc.identifier.cristin2025697
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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