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dc.contributor.authorChen, Hao
dc.contributor.authorBirkelund, Yngve
dc.contributor.authorZhang, Qixia
dc.date.accessioned2024-01-05T11:32:00Z
dc.date.available2024-01-05T11:32:00Z
dc.date.issued2023-11-17
dc.description.abstractIn the digital and green transitions, rapidly growing renewable energies are accumulating more and more data. Big data gives room to apply emerging data science to solve challenges in the energy sector. Offshore wind power receives accelerating attention due to its sufficient resources and cleanness. This paper uses data science, including statistical analysis and machine learning, to systematically analyse three coastal wind sites in Norway. The results show that although Norway possesses ample offshore resources, its development could be improved by natural, technical, and economic challenges that can be addressed with the help of data science. Technically, the statistical attributes and forecasting intricacy of offshore wind resources differ across various regions of Norway.en_US
dc.identifier.citationChen, Birkelund, Zhang. Data science in wind energy: a case study for Norwegian offshore wind. Journal of Physics: Conference Series (JPCS). 2023;2638:1-8en_US
dc.identifier.cristinIDFRIDAID 2206429
dc.identifier.doi10.1088/1742-6596/2638/1/012013
dc.identifier.issn1742-6588
dc.identifier.issn1742-6596
dc.identifier.urihttps://hdl.handle.net/10037/32345
dc.language.isoengen_US
dc.publisherIOP Publishingen_US
dc.relation.journalJournal of Physics: Conference Series (JPCS)
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleData science in wind energy: a case study for Norwegian offshore winden_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)