REGRESSION EQUATION FOR THE ENERGY CONSUMPTION OF AN INDUSTRIAL COMPANY

A regression equation for annual electricity costs in a large industrial company is obtained. The choice of three determining factors was made: annual production of oil products and pet-rochemicals, headcount, annual costs of heat energy. It is shown that with an increase in the values of annual production and headcount, the cost of electricity at the enterprise increases. The use of thermal energy in the company, on the one hand, leads to a reduction in electricity consumption due to the interchangeability of types of energy, and on the other hand, the maintenance of thermal power equipment requires additional electricity costs. The coefficients in the regression equation are determined by the tabular method (Fischer's method. The regression equation, which links the company's electricity costs with the determining factors, will make it possible to analyze and forecast the company's annual electricity consumption in the future