СИСТЕМА ПРОГНОЗУВАННЯ ЕНЕРГОВИТРАТ БУДІВЕЛЬ РІЗНОГО ПРИЗНАЧЕННЯ

Electricity is an integral part of modern life and important for the economy of the whole world, including Ukraine. In the near future, electricity is expected to replace other energy sources as the primary source for use in homes, businesses, and transportation. For effective and correct forecasting, it is advisable to create a System for forecasting energy consumption of buildings of various purposes. The purpose of the research is to develop a system for forecasting the energy consumption of buildings of various purposes using machine learning methods. The object of the study is a data set describing the parameters of buildings, meter readings and weather data from meteorological stations. The subject of the research is machine learning methods and models for forecasting the energy consumption of buildings of various purposes. The result of the research is a system that performs energy consumption forecasting using machine learning methods. Theoretical and empirical research methods were used in the research. [ABSTRACT FROM AUTHOR]