Data‐driven generation of synthetic wind speeds: A comparative study

Abstract The increasing sophistication of wind turbine design and control generates a need for high‐quality wind data. The relatively limited set of available measured wind data may be extended with computer generated data, for example, to make reliable statistical studies of energy production and m...

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Bibliographic Details
Main Authors: Daniele D'Ambrosio, Johan Schoukens, Tim De Troyer, Miroslav Zivanovic, Mark Charles Runacres
Format: Article
Language:English
Published: Wiley 2022-04-01
Series:IET Renewable Power Generation
Online Access:https://doi.org/10.1049/rpg2.12394