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Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction

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Bibliographic Details
Published in:Wind Energy Science
Format: Online Article RSS Article
Published: 2026
Subjects:
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FRELIP Feed Integration
container_title Wind Energy Science
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:22561
institution FRELIP
journal_source_facet Wind Energy Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction
— — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
sub_discipline_display Petroleum & Energy
sub_discipline_facet Petroleum & Energy
subject_display — — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
— — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
subject_facet — — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
title Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction
title_auth Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction
title_full Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction
title_fullStr Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction
title_full_unstemmed Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction
title_short Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction
title_sort bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction
topic — — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
url https://doi.org/10.5194/wes-11-1205-2026