Hierarchical Time Series Feature Extraction for Power Consumption Anomaly Detection.
Zhiyou OuyangXiaokui SunDong YuePublished in: LSMS/ICSEE (3) (2017)
Keyphrases
- power consumption
- anomaly detection
- feature extraction
- detect anomalies
- low power
- intrusion detection
- anomalous behavior
- power saving
- power management
- energy efficiency
- network intrusion detection
- unsupervised learning
- network traffic
- battery life
- feature vectors
- intrusion detection system
- energy saving
- power reduction
- image processing
- feature selection
- network security
- machine learning
- detecting anomalies
- data center
- learning algorithm
- neural network
- data processing
- dimensionality reduction
- feature space
- face recognition
- one class support vector machines
- network anomaly detection
- negative selection algorithm
- principal component analysis
- pairwise
- normal behavior
- pattern recognition
- image segmentation