Power System Anomaly Detection Based on OCSVM Optimized by Improved Particle Swarm Optimization.
Zhongfeng WangYatong FuChunhe SongPeng ZengLin QiaoPublished in: IEEE Access (2019)
Keyphrases
- power system
- one class support vector machines
- anomaly detection
- improved particle swarm optimization
- intrusion detection
- detecting anomalies
- computational intelligence
- anomalous behavior
- network intrusion detection
- network traffic
- intrusion detection system
- power generation
- active power
- artificial intelligence
- detect anomalies
- optimal power flow
- negative selection algorithm
- support vector machine
- multi objective
- decision trees
- unsupervised learning
- object recognition
- evolutionary algorithm
- reactive power
- ieee bus
- network security
- supervised learning
- maximum likelihood