Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring

Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring explores A supervised ML framework for anomaly detection in power plants that balances performance, interpretability, and fairness, with containerized deployment for real-time monitoring.. Commercial viability score: 7/10 in Anomaly Detection.