This study addresses the challenges of integrating hybrid power plants, combining wind and solar power, into power systems and electricity markets—a relatively new area of research. It introduces a probabilistic power forecasting approach tailored to hybridized wind and solar power plants.

Key findings reveal that hybridization consistently increases the remuneration of producers compared to standalone wind power plants, with greater benefits observed in scenarios with higher generation complementarity between wind and solar. Moreover, the use of quantiles to calibrate forecasts significantly improves remuneration compared to traditional deterministic forecasting methods that rely on expected power values.

This work has received funding from the EU Horizon 2020 research and innovation program under project TradeRES (grant agreement No 864276).