Electricity demand anomaly detection and forecasting: a hybrid framework for improved grid management
This study aims to develop a robust and interpretable forecasting framework for short-term electricity demand that supports sustainable energy demand management, particularly under conditions of demand volatility and unexpected events. This study proposes a hybrid Prophet-XGBoost forecasting framework that c...