Power System Anomaly Detection and Classification Utilizing WLS-EKF State Estimation and Machine Learning.
Sajjad AsefiMile MitrovicDragan CetenovicVictor LeviElena N. GryazinaVladimir TerzijaPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- power system
- state estimation
- machine learning
- extended kalman filter
- kalman filter
- kalman filtering
- intrusion detection
- network anomaly detection
- unsupervised learning
- pattern recognition
- computational intelligence
- text classification
- intrusion detection system
- supervised learning
- feature selection
- support vector machine
- particle filter
- power quality
- network traffic
- support vector
- dynamic systems
- particle filtering
- feature extraction
- feature space
- network security
- computer vision
- detect anomalies
- neural network
- high dimensional
- voltage stability
- active learning
- graph cuts
- training set