Assessing boundary condition and parametric uncertainty in numerical-weather-prediction-modeled, long-term offshore wind speed through machine learning and analog ensemble
<p>To accurately plan and manage wind power plants, not only does the time-varying wind resource at the site of interest need to be assessed but also the uncertainty connected to this estimate. Numerical weather prediction (NWP) models at the mesoscale represent a valuable way to characterize the wi...
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| Prif Awduron: | , , , , |
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| Fformat: | Artigo |
| Iaith: | Inglês |
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Copernicus Publications
2021-11-01
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| Cyfres: | Wind Energy Science |
| Mynediad Ar-lein: | https://wes.copernicus.org/articles/6/1363/2021/wes-6-1363-2021.pdf |
| Tagiau: |
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