Deep Learning-Based Digital Twin Framework for Real-Time Water Network Anomaly Detection
Urban water distribution systems are critical infrastructures that require continuous monitoring to prevent water loss caused by leaks and operational anomalies. Conventional monitoring approaches often struggle to detect early-stage anomalies due to the complexity and temporal dynamics of multivariate sensor data. Thi...