Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs.
Mehdi Jabbari ZidehSarika Khushalani SolankiPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- power distribution systems
- network intrusion detection
- detecting anomalous
- computer security
- unsupervised anomaly detection
- network traffic
- malware detection
- network anomaly detection
- behavior analysis
- detect anomalies
- restricted boltzmann machine
- one class support vector machines
- intrusion detection system
- network intrusion
- negative selection algorithm
- data sets
- text mining
- artificial intelligence