Spectral-aware decomposition with multi-scale temporal modeling for photovoltaic power forecasting
Photovoltaic (PV) power forecasting plays a critical role in power system operation and renewable energy integration, and has attracted increasing research attention. Owing to their strong temporal modeling capability, deep learning models have achieved promising performance in PV power prediction. However, existing me...