Development of a High-Resolution Wind Forecast System Based on the WRF Model and a Hybrid Kalman-Bayesian Filter

Development of a High-Resolution Wind Forecast System Based on the WRF Model and a Hybrid Kalman-Bayesian Filter

Regional microscale meteorological models have become a critical tool for wind farm production forecasting due to their capacity for resolving local flow dynamics. The high demand for reliable forecasting tools in the energy industry is the motivation for the development of an integrated system that...

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Bibliographic Details
Main Authors: Carlos Otero-Casal, Platon Patlakas, Miguel A. Prósper, George Galanis, Gonzalo Miguez-Macho
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Energies
Subjects:
nowcasting
Kalman-Bayesian filter
WRF
high-resolution
complex terrain
wind
Online Access:https://www.mdpi.com/1996-1073/12/16/3050

Internet

https://www.mdpi.com/1996-1073/12/16/3050

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