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dc.contributor.authorBentsen, Lars Ødegaard
dc.contributor.authorWarakagoda, Narada Dilp
dc.contributor.authorStenbro, Roy
dc.contributor.authorEngelstad, Paal
dc.date.accessioned2023-01-05T09:08:19Z
dc.date.available2023-01-05T09:08:19Z
dc.date.created2022-06-13T16:02:35Z
dc.date.issued2022
dc.identifier.issn1742-6588
dc.identifier.urihttps://hdl.handle.net/11250/3041115
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleWind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Lossesen_US
dc.title.alternativeWind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Lossesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.journalJournal of Physics: Conference Series (JPCS)en_US
dc.identifier.doi10.1088/1742-6596/2265/2/022035
dc.identifier.cristin2031487
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal