Multi-level short-term load forecasting model based on an improved federated learning framework
A multi-level short-term load forecasting (STLF) model based on an improved federated learning (FL) framework aimed at serving both distribution systems and power users is developed, demonstrating its ability to ensure rapid training, high accuracy, and multi-level prediction while protecting user data privacy.