Qingyang Li

A CNN-LSTM-PINN Photovoltaic Power Forecasting Method Based on Data–Mechanism Fusion

With the increasing penetration of photovoltaic power in power systems, accurate photovoltaic power forecasting is important for dispatch optimization, and renewable energy accommodation. To address the problem that data-driven models may ignore photovoltaic generation mechanisms and produce physically inconsistent for...