Use of Machine Learning Technologys for the Electric Consumption Forecast

Presents the results of machine learning based on a non-iterative artificial neural network. Short-term, medium-term, and long-term forecasts of electric energy consumption for the “Lviv Regional Center of Emergency Medical and Disaster Medicine” were implemented. The informational and analytical system for forecasting the consumption of electric energy on the basis of non-iterative neural networks is developed.