Sohel Rana

AI-Enabled Condition Monitoring for Predictive Maintenance and Early Anomaly Detection in Renewable-Rich Electric Distribution Systems: A simulation-based proof-of-concept study using the IEEE 33-bus feeder

The findings support the use of feeder physics, temporal feature engineering, and ensemble learning for condition monitoring, while also showing that deployment-oriented predictive maintenance will require field data, higher-fidelity failure models, and explicit adaptation to unseen DER operating regimes.