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Accelerating regional wind energy assessment with deep-learning surrogates of WRF wind farm simulations

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Bibliographic Details
Published in:Wind Energy Science
Format: Online Article RSS Article
Published: 2026
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container_title Wind Energy Science
description
discipline_display Renewal Energy
discipline_facet Renewal Energy
format Online Article
RSS Article
genre Journal Article
id rss_article:58559
institution FRELIP
journal_source_facet Wind Energy Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Accelerating regional wind energy assessment with deep-learning surrogates of WRF wind farm simulations
Renewal Energy
General
Renewal Energy
sub_discipline_display General
sub_discipline_facet General
subject_display Renewal Energy
General
Renewal Energy
Renewal Energy
General
Renewal Energy
subject_facet Renewal Energy
General
Renewal Energy
title Accelerating regional wind energy assessment with deep-learning surrogates of WRF wind farm simulations
title_auth Accelerating regional wind energy assessment with deep-learning surrogates of WRF wind farm simulations
title_full Accelerating regional wind energy assessment with deep-learning surrogates of WRF wind farm simulations
title_fullStr Accelerating regional wind energy assessment with deep-learning surrogates of WRF wind farm simulations
title_full_unstemmed Accelerating regional wind energy assessment with deep-learning surrogates of WRF wind farm simulations
title_short Accelerating regional wind energy assessment with deep-learning surrogates of WRF wind farm simulations
title_sort accelerating regional wind energy assessment with deep-learning surrogates of wrf wind farm simulations
topic Renewal Energy
General
Renewal Energy
url https://doi.org/10.5194/wes-2026-87