Chang-Wei Cao

Physics-guided residual learning for day-ahead forecasting and scheduling in active distribution networks

With the high penetration of distributed photovoltaic (PV) generation and wind power in active distribution networks, dayahead scheduling has become increasingly dependent on accurate source-load forecasting. Traditional mechanism-based models offer a certain degree of physical interpretability, yet they are often inad...