ENHANCING SHORT-TERM SOLAR GENERATION FORECASTING ACCURACY USING A CNN-TRANSFORMER MODEL
The increasing penetration of solar energy into power systems poses significant challenges to grid dispatch and operation due to its inherent variability and strong dependence on meteorological conditions. Recently, Transformer-based deep learning models have demonstrated great potential in time-series analysis owing t...