System bias correction of short-term hub-height wind forecasts using the Kalman filter

System bias correction of short-term hub-height wind forecasts using the Kalman filter

Abstract Wind energy is a fluctuating source for power systems, which poses challenges to grid planning for the wind power industry. To improve the short-term wind forecasts at turbine height, the bias correction approach Kalman filter (KF) is applied to 72-h wind speed forecasts from the WRF model...

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Détails bibliographiques
Auteurs principaux: Jingjing Xu, Ziniu Xiao, Zhaohui Lin, Ming Li
Format: article
Langue:EN
Publié: SpringerOpen 2021
Sujets:
Wind forecasts
Wind energy
Numerical model
Bias correction
Kalman filter
Atmospheric boundary layer
Distribution or transmission of electric power
TK3001-3521
Production of electric energy or power. Powerplants. Central stations
TK1001-1841
Accès en ligne:https://doaj.org/article/141c7bb72bb24f6b9152530ac42048e9
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https://doaj.org/article/141c7bb72bb24f6b9152530ac42048e9

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