Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach.
Mattia FananClaudio BaronRuggero CarliMarc-Aurèle DivernoisJean-Christophe MarongiuGian Antonio SustoPublished in: INDIN (2023)
Keyphrases
- anomaly detection
- machine learning
- intrusion detection
- network anomaly detection
- anomalous behavior
- detecting anomalies
- electric power
- network traffic
- network intrusion detection
- unsupervised learning
- detecting anomalous
- detect anomalies
- learning algorithm
- intrusion detection system
- data mining
- unsupervised anomaly detection
- negative selection algorithm
- network security
- computational intelligence
- supervised learning
- data analysis
- pattern recognition
- decision trees
- feature selection
- information extraction
- active learning
- one class support vector machines
- computer vision
- natural language processing
- risk management
- support vector machine
- cumulative sum
- artificial intelligence