ARTIFICIAL INTELLIGENCE FOR AUTOMATED ENERGY LOSS SEARCH

Automated search for energy losses is difficult due to the lack of artificial intelligence methods to minimize the risks associated with staff errors. The aim of the work is to develop an artificial intelligence method for automated search for energy losses. Based on the application of the heuristic method of artificial intelligence and digital twin technologies, algorithms for automated energy loss search have been developed. The results of the study were implemented using the complex of technical means (CTM) "Energy" using examples of searching for losses of electricity and energy carriers at energy-intensive enterprises in Russia and Azerbaijan. The application of the research results in automated energy metering systems minimizes the risks associated with personnel errors.