A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics.
Alexander BeattiePavol MulinkaSubham SahooIoannis T. ChristouCharalampos KalalasDaniel Gutierrez-RojasPedro H. J. NardelliPublished in: SmartGridComm (2022)
Keyphrases
- anomaly detection
- data driven
- intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- network intrusion detection
- power electronics
- network anomaly detection
- intrusion detection system
- detect anomalies
- one class support vector machines
- parameter tuning
- negative selection algorithm
- unsupervised learning
- reinforcement learning
- pattern recognition