Big Data Platform for Smart Grids Power Consumption Anomaly Detection.
Jakub LipcakMartin MacákBruno RossiPublished in: FedCSIS (2019)
Keyphrases
- power consumption
- anomaly detection
- big data
- low power
- intrusion detection
- detecting anomalies
- data analysis
- cloud computing
- energy efficiency
- anomalous behavior
- social media
- data management
- network traffic
- big data analytics
- business intelligence
- data center
- data processing
- knowledge discovery
- real time
- intrusion detection system
- unsupervised learning
- database systems
- one class support vector machines
- data warehousing
- power dissipation
- information systems
- computer networks