Richa Sharma

Optimized Ensemble Deep Learning for User Load Forecasting and Residual-Based Anomaly Detection

Experimental results demonstrated that the forecasting–detection pipeline effectively adapts to varying consumption behaviors, yielding improved forecasting accuracy and more reliable AD, particularly over longer forecasting horizons, confirming its suitability for practical smart-grid deployment.