Machine Learning-Based Anomaly Detection for Load Forecasting Under Cyberattacks.
Mingjian CuiJianhui WangMeng YuePublished in: IEEE Trans. Smart Grid (2019)
Keyphrases
- anomaly detection
- load forecasting
- machine learning
- short term load forecasting
- short term
- power system
- network anomaly detection
- intrusion detection
- detecting anomalies
- long term
- network traffic
- network intrusion detection
- intrusion detection system
- anomalous behavior
- electric power
- bp neural network
- one class support vector machines
- support vector regression
- rbf neural network
- unsupervised learning
- learning tasks
- artificial intelligence
- knowledge discovery
- data analysis
- data mining
- neural network
- transfer learning
- decision trees
- feature selection
- active learning
- pattern recognition
- reinforcement learning
- computer vision
- learning algorithm
- support vector machine
- text mining
- supervised learning
- detect anomalies
- training data