Wind power forecasting using neu-ral networks (red) is significantly more accurate than projections based on conventional weather models (blue). Chart: ZSW
The Centre for Solar Energy and Hydrogen Research Baden-Württemberg (ZSW) in Stuttgart and Karlsruhe-based EWC Weather Consult GmbH intend to use multiple weather models' meteorological forecasts and machine learning techniques to calculate far more accurate projections for wind power generation. The aim is to drive down the costs of Germany's energy transition. The Federal Ministry of Economics is sponsoring this project called WindSage.
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