Fault Prediction in Energy Systems: Telemetric Data and ML Approaches
A short overview of using telemetry + machine learning to predict failures in energy systems.
Key points
- Problem framing: failures, downtime, and cost
- Data: SCADA/telemetry, events, and maintenance logs
- Models: baselines → gradient boosting → deep learning