Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data

Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data

<p>Observations of the wind speed at heights relevant for wind power are sparse, especially offshore, but with emerging aid from advanced statistical methods, it may be possible to derive information regarding wind profiles using surface observations. In this study, two machine learning (ML) m...

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Bibliographic Details
Main Authors: C. Hallgren, J. A. Aird, S. Ivanell, H. Körnich, V. Vakkari, R. J. Barthelmie, S. C. Pryor, E. Sahlée
Format: Article
Language:English
Published: Copernicus Publications 2024-04-01
Series:Wind Energy Science
Online Access:https://wes.copernicus.org/articles/9/821/2024/wes-9-821-2024.pdf

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