The Power Curve Working Group's assessment of wind turbine power performance prediction methods.

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Title: The Power Curve Working Group's assessment of wind turbine power performance prediction methods.
Authors: Lee, Joseph C. Y.1, Stuart, Peter2, Clifton, Andrew3, Fields, M. Jason1, Perr-Sauer, Jordan4, Williams, Lindy4, Cameron, Lee2, Geer, Taylor5, Housley, Paul6
Source: Wind Energy Science. 2020, Vol. 5 Issue 1, p199-223. 25p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 143341222
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=143341222
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        Value: 10.5194/wes-5-199-2020
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 199
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      – TitleFull: The Power Curve Working Group's assessment of wind turbine power performance prediction methods.
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            NameFull: Lee, Joseph C. Y.
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            NameFull: Stuart, Peter
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              Text: 2020
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            – TitleFull: Wind Energy Science
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