An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction.
Jihan GhanimMaha IssaMariette AwadPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- power consumption
- low power
- intrusion detection
- power saving
- detecting anomalies
- data assimilation
- anomalous behavior
- power management
- network intrusion detection
- network anomaly detection
- intrusion detection system
- network security
- computer vision
- network traffic
- unsupervised learning
- detect anomalies
- low cost
- semi supervised
- negative selection algorithm
- probabilistic model