Digital Transformation of the Electric Power Industry: Project Management using AI

In the presented article the theoretical basis of peculiarities of energy complex project management with the help of artificial intelligence systems is considered. Project goal setting by SMARTER is analysed, the complexity of project management by Kenevin model is defined and justified, project management methodologies are selected and justified. A description of Story Map and Mercedes Diagram is given. The need for this research is due to the difficulty of implementing end-to-end digital technologies in energy companies despite the fact that neural networks and artificial intelligence systems allow the automation of many intellectual activities. The use of traditional methods of information processing in existing management systems does not allow for an economic leap and rapid digital transformation. The purpose of this theoretical study is the scientific systematisation of project management using neural networks and artificial intelligence systems for accelerated digital transformation of electric power enterprises.