Examination of turbulence impacts on ultra-short-term wind power and speed forecasts with machine learning
Wind turbines’ economic and secure operation can be optimized through accurate ultra-short-term wind power and speed forecasts. Turbulence, considered as a local short-term physical wind phenomenon, affects wind power generation. This paper investigates the use of turbulence intensity for ultra-shor...
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Auteurs principaux: | Hao Chen, Yngve Birkelund, Fuqing Yuan |
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Format: | article |
Langue: | EN |
Publié: |
Elsevier
2021
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Sujets: | |
Accès en ligne: | https://doaj.org/article/77b7bce11f8f49fe8f7fcecee7b15360 |
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