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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Detalles Bibliográficos
Autores principales:	Jingjing Xu, Ziniu Xiao, Zhaohui Lin, Ming Li
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	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
Acceso en línea:	https://doaj.org/article/141c7bb72bb24f6b9152530ac42048e9
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System bias correction of short-term hub-height wind forecasts using the Kalman filter

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