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Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks

dc.contributor.authorBentsen, Lars Ødegaard
dc.contributor.authorWarakagoda, Narada Dilp
dc.contributor.authorStenbro, Roy
dc.contributor.authorEngelstad, Paal
dc.date.accessioned2022-12-06T09:55:49Z
dc.date.available2022-12-06T09:55:49Z
dc.date.created2022-11-10T12:28:28Z
dc.date.issued2022
dc.identifier.citationJournal of Physics: Conference Series (JPCS). 2022, 2362 .en_US
dc.identifier.issn1742-6588
dc.identifier.urihttps://hdl.handle.net/11250/3036044
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleProbabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networksen_US
dc.title.alternativeProbabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networksen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber10en_US
dc.source.volume2362en_US
dc.source.journalJournal of Physics: Conference Series (JPCS)en_US
dc.identifier.doi10.1088/1742-6596/2362/1/012005
dc.identifier.cristin2071790
dc.relation.projectNorges forskningsråd: 308838en_US
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