Enhancing smart grid resilience with deep learning anomaly detection prior to state estimation.
Amila AkagicIzudin DzaficPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- anomaly detection
- state estimation
- deep learning
- smart grid
- unsupervised learning
- network security
- power system
- intrusion detection
- communication networks
- information security
- kalman filter
- network traffic
- kalman filtering
- visual tracking
- particle filter
- machine learning
- intrusion detection system
- particle filtering
- network management
- security issues
- supervised learning
- data center
- feature selection
- dimensionality reduction
- computer networks
- smart home
- data analysis
- reinforcement learning
- multiscale
- training data
- artificial intelligence
- data sets