Anomaly Detection of Power Plant Equipment Using Long Short-Term Memory Based Autoencoder Neural Network.
Di HuChen ZhangTao YangGang ChenPublished in: Sensors (2020)
Keyphrases
- anomaly detection
- short term
- power plant
- neural network
- long term
- fault diagnosis
- wind power
- soft computing
- power generation
- intrusion detection
- detecting anomalies
- wind speed
- electric power
- short term prediction
- network traffic
- short term and long term
- intrusion detection system
- anomalous behavior
- network intrusion detection
- back propagation
- decision support system
- forecasting model
- neural network model
- artificial neural networks
- pattern recognition
- fuzzy logic
- historical data
- negative selection algorithm
- network anomaly detection
- one class support vector machines
- bp neural network
- genetic algorithm
- load forecasting
- detect anomalies
- knn
- probabilistic model
- information processing
- expert systems
- self organizing maps
- recurrent neural networks
- data mining