Temporal Convolutional Network with a Physics-Informed Decoder for 15-Minute-Ahead Solar Power Forecasting
As renewable energy grows, photovoltaic power integration into power grids has increased, and high solar penetration creates challenges for power system operation. Accurate, near-real-time solar power forecasting over short time intervals is therefore important for supporting stable grid operation and efficient energy...