Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks
| dc.contributor.author | Bentsen, Lars Ødegaard | |
| dc.contributor.author | Warakagoda, Narada Dilp | |
| dc.contributor.author | Stenbro, Roy | |
| dc.contributor.author | Engelstad, Paal | |
| dc.date.accessioned | 2022-12-06T09:55:49Z | |
| dc.date.available | 2022-12-06T09:55:49Z | |
| dc.date.created | 2022-11-10T12:28:28Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Journal of Physics: Conference Series (JPCS). 2022, 2362 . | en_US |
| dc.identifier.issn | 1742-6588 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3036044 | |
| 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 | Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks | en_US |
| dc.title.alternative | Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks | en_US |
| dc.type | Peer reviewed | en_US |
| dc.type | Journal article | en_US |
| dc.description.version | publishedVersion | en_US |
| dc.source.pagenumber | 10 | en_US |
| dc.source.volume | 2362 | en_US |
| dc.source.journal | Journal of Physics: Conference Series (JPCS) | en_US |
| dc.identifier.doi | 10.1088/1742-6596/2362/1/012005 | |
| dc.identifier.cristin | 2071790 | |
| dc.relation.project | Norges forskningsråd: 308838 | en_US |
| cristin.ispublished | true | |
| cristin.fulltext | original | |
| cristin.qualitycode | 1 |
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