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The Use of Machine Learning in Situational Management in Relation to the Tasks of the Power Industry

... (ANN) and genetic algorithms (GA) to form management actions when applying the concept of situational management for intelligent support of strategic decision-making on the development of energy. At the first stage, the application of ANN to classify extreme situations in the energy sector, to select the most effective management actions (preventive measures) in order to prevent a critical situation from developing into an emergency. Genetic algorithms are proposed to be used to determine the weighting ...

Теги: situational management , machine learning , artificial neural networks , genetic algorithms , extreme situations in the energy sector , management actions (preventive measures)
Раздел: ИСЭМ СО РАН
Semantic modeling of cyber threats in the energy sector using Dynamic Cognitive Maps and Bayesian Belief Network

Gaskova D.A., Massel A.G. Semantic modeling of cyber threats in the energy sector using Dynamic Cognitive Maps and Bayesian Belief Network // Proc.of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support. 2019. P.326-329. DOI: 10.2991/itids-19.2019.58 The article discusses the use of semantic modeling in the analysis of threats to energy security (ES). Semantic modeling is proposed to be applied at a qualitative level, followed by quantitative assessment...

Теги: semantic modeling methods , cyber security , energy security , extreme situations in the energy sector , energy sector , cyber threat analysis
Раздел: ИСЭМ СО РАН


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