A Cross-Regional Load Forecasting Method Based on a Pseudo-Distributed Federated Learning Strategy
Accurate load forecasting serves as the core foundation for grid planning and operations.Traditional load forecasting methods often rely solely on historical load data from Door Stop Bracket a single region for training, making the models region-specific and leading to significant accuracy degradation when applied to other regions.This limits the g