Extreme-Event-Informed Post-Processing of Numerical Weather Predictions for Enhanced Photovoltaic Power Forecasting
Numerical weather prediction models tend to exhibit larger forecast errors during extreme weather events, such as heat waves and cold spells. In this context, the systematic biases of the Global Forecast System (GFS) in irradiance and temperature propagate nonlinearly through the thermal derating of photovoltaic module...