Renewable energy forecasting with Deep Learning tools

The rapid expansion of renewable energy sources (RES), particularly wind and solar photovoltaic (PV), is intensifying the operational challenges faced by power systems. In Spain, this trend is especially significant due to the ambitious targets of the Integrated National Energy and Climate Plan (PNIEC), which foresees 76 GW of solar PV and 62 GW of wind capacity by 2030. The variability of meteorological conditions introduces uncertainty into RES generation, affecting frequency stability, transmission power flows, short-term adequacy assessments, and the sizing of operating reserves. As a result, accurate forecasting has become essential to reduce system uncertainty, minimize redispatching and curtailments, and support flexible and reliable system operation. The Spanish Transmission System…