Analysis of factors for elaborate forecasting models of EPS regime parameters

Improving the accuracy of the forecast results and the quality of the mathematical model is one of the urgent tasks in forecasting the parameters of the regime of electric power systems. The article discusses the influence of various factors, such as population growth and temperature rise, on long-term forecasting of electricity consumption. A comparative analysis of the factors with the determination of the coefficients of the mathematical forecasting model performed. Based on a comparative analysis, it is proposed to choose the factor that has a greater impact on the nature of consumption changes according to the criterion of minimum RMS error.