Short-Term Rooftop Photovoltaic Power Forecasting for Energy System Management: A CMDHOLE-Optimized Transformer-LSTM Framework
Accurate short-term rooftop photovoltaic (PV) power forecasting is important for energy system management because forecasting errors directly affect local scheduling, reserve coordination, and distributed PV balancing under rapidly changing meteorological conditions. This paper proposes a CMDHOLE-Transformer-LSTM frame...