Building models for forecasting energy consumption using a fuzzy knowledge base and a regression model

The main purpose of the work is to build models for forecasting energy consumption. With the goal in mind, the problems of building energy consumption models are solved using the Sugeno fuzzy knowledge base and the regression model. The presentation of the material is carried out on the example of constructing a fuzzy model of the dependence of energy consumption on the number of population and gross domestic product (GDP). It is necessary to find out how energy consumption depends on the population, GDP, and the price of oil. The synthesized fuzzy model will have one output and three inputs.