Automated Anomaly Detection in Concentrated Solar Power Plants with Linear Least Squares Approximation.
Robert JungnickelSylwia OlbrychMichael ZengThomas KraftFabian BehrensAymen GannouniAnas AbdelrazeqRobert H. SchmittPublished in: ICIT (2024)
Keyphrases
- anomaly detection
- power plant
- linear least squares
- least squares
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- intrusion detection system
- network traffic
- soft computing
- historical data
- fault diagnosis
- regularized least squares
- one class support vector machines
- condition number
- fuzzy logic
- support vector
- detect anomalies
- approximation algorithms
- coefficient matrix
- data mining
- face recognition
- image segmentation