Optimized Ensemble Deep Learning for User Load Forecasting and Residual-Based Anomaly Detection
Accurate load forecasting (LF) and effective anomaly detection (AD) at the individual household level are crucial for ensuring efficient energy management in smart grids. Yet, it remains challenging due to high variability in user behavior and data anomalies. This paper proposes an integrated two-stage consumer level f...