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dc.contributor.authorChen, Hao
dc.date.accessioned2022-08-04T12:12:56Z
dc.date.available2022-08-04T12:12:56Z
dc.date.issued2022-07-30
dc.description.abstractWind data are vital for the research in renewable energy research. Their quality from numerical weather prediction significantly influences the wind energy models. This paper utilizes a comprehensive statistical analysis for analyzing predictive errors, named residuals of wind speed and direction modeled by numerical weather prediction models. The analysis, taken an Arctic wind site as an example, effectively integrates statistical inference, probabilistic modeling, and hypothesis tests. It is proven that the residuals still contain important meteorological information. The introduced statistical analysis may be used to replenish residuals and explore complex intrinsic properties of numerical weather wind models and contributions to wind energy modeling.en_US
dc.identifier.citationChen. A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy. Energy Reports. 2022en_US
dc.identifier.cristinIDFRIDAID 2040864
dc.identifier.doi10.1016/j.egyr.2022.07.080
dc.identifier.issn2352-4847
dc.identifier.urihttps://hdl.handle.net/10037/25962
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalEnergy Reports
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.titleA comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energyen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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