Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction.
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| Title: | Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction. |
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| Authors: | Aerts, Frederik1 (AUTHOR) frederik.aerts1@kuleuven.be, Devesse, Koen1 (AUTHOR), Meyers, Johan1 (AUTHOR) |
| Source: | Wind Energy Science. 2026, Vol. 11 Issue 4, p1205-1225. 21p. |
| Database: | Environment Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: eih DbLabel: Environment Complete An: 193868044 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Aerts%2C+Frederik%22">Aerts, Frederik</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> frederik.aerts1@kuleuven.be</i><br /><searchLink fieldCode="AR" term="%22Devesse%2C+Koen%22">Devesse, Koen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meyers%2C+Johan%22">Meyers, Johan</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Wind+Energy+Science%22">Wind Energy Science</searchLink>. 2026, Vol. 11 Issue 4, p1205-1225. 21p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=193868044 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5194/wes-11-1205-2026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1205 Titles: – TitleFull: Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Aerts, Frederik – PersonEntity: Name: NameFull: Devesse, Koen – PersonEntity: Name: NameFull: Meyers, Johan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 23667443 Numbering: – Type: volume Value: 11 – Type: issue Value: 4 Titles: – TitleFull: Wind Energy Science Type: main |
| ResultId | 1 |