Anomaly Detection Using LSTM-Based Variational Autoencoder in Unsupervised Data in Power Grid.
Dibyajyoti GuhaRajdeep ChatterjeeBiplab SikdarPublished in: IEEE Syst. J. (2023)
Keyphrases
- anomaly detection
- power grid
- data analysis
- data processing
- training data
- detecting anomalies
- data points
- intrusion detection
- unsupervised learning
- intrusion detection system
- data collection
- data acquisition
- data sources
- detect anomalies
- machine learning
- supervised learning
- knowledge discovery
- data mining applications
- active learning
- anomalous behavior