An integrated AI-based software architecture for load forecasting, controlled anomaly detection, and predictive energy management
The increasing deployment of smart meters and Internet of Things technologies has created a demand for intelligent computational systems capable of jointly forecasting electricity consumption, detecting abnormal behavior, and optimizing load management. This study proposes an integrated artificial intelligence-based...