Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection.
Pawel BeneckiDaniel KostrzewaPiotr GrzesikBohdan ShubynDariusz MrozekPublished in: SMC (2022)
Keyphrases
- anomaly detection
- energy consumption
- feature selection
- wireless sensor networks
- electricity consumption
- energy efficient
- intrusion detection
- anomalous behavior
- energy saving
- network intrusion detection
- energy efficiency
- sensor networks
- routing protocol
- network traffic
- data transmission
- one class support vector machines
- detecting anomalies
- unsupervised learning
- intrusion detection system
- model selection
- sensor nodes
- base station
- multi hop
- residual energy
- network anomaly detection
- computational intelligence
- supervised learning
- probabilistic model
- mobile devices