Alexey G. Massel, Kirill S. Bakhvalov

Laboratory "Information Technology in Energetic" Melentiev Energy Systems Institute Siberian Branch of the Russian Academy of Sciences

The article describes the solution of the fundamental scientific problem, which consists in the development of methods and intelligent technologies for the scientific substantiation of strategic decisions on the digital transformation of energy, taking into account the requirements of cybersecurity, based on the concept of situational management, using methods of machine learning, evolutionary computing, mathematical and semantic modeling.

intellectual technologies, digital transformation of energy, cybersecurity, situational management, semantic modeling.