Abstract
Relevance The current state of the electric power industry is characterized by the use of information technologies based on artificial intelligence, which in turn imposes increased requirements on the level of training and qualification of maintenance engineering and technical personnel. These requirements determine the need to improve the educational program for the training of engineering and technical specialties with the introduction of modern information technologies into the educational process. One of the promising areas of control and management of energy complexes are a decision support system and expert systems using artificial intelligence. Aim of research The development of an educational and research complex with elements of artificial intelligence for performing laboratory work on the discipline «Intelligent decision support systems and expert systems». Research methods The research is carried out using the Python programming language, the PyCharm development environment with a set of extensions of the Qt graphics framework and the QtDesigner application, as well as designing a neural network algorithm using the TensorFlow library. Results The software of the complex has been developed, including a digital double of the stand, an executive part and a neural network model, which, at the level of implementing the basic functions of the integrated expert system, provides recommendations on optimizing the power system with current load parameters for the end user in the form of possible options for switching the type of load.
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