Empirical Comparison of Machine Learning Algorithms for Mitigating Power Systems Intrusion Attacks.
Oyeniyi Akeem AlimiKhmaies OuahadaAdnan M. Abu-MahfouzKuburat Oyeranti Adefemi AlimiPublished in: ISNCC (2020)
Keyphrases
- machine learning algorithms
- power system
- machine learning
- benchmark data sets
- machine learning methods
- learning problems
- learning algorithm
- decision trees
- computational intelligence
- machine learning approaches
- power grid
- distribution systems
- malicious users
- smart grid
- economic dispatch
- short term load forecasting
- intrusion detection
- power generation
- transmission line
- machine learning models
- electric power systems
- standard machine learning algorithms
- intrusion detection system
- load forecasting
- artificial intelligence
- data sets
- power distribution systems
- economic load dispatch
- electrical power
- voltage stability
- domain specific
- feature selection
- neural network