In order to improve the air environment, the government vigorously promotes the implementation of coal-to-electricity conversion project, and the electric heating load is widely used. Electric heating load has the characteristics of high power, closely related with season and meteorology and concentrated load density, which has a great impact on the planning and operation of distribution network. In this paper, from the perspective of meteorological factors, two main meteorological factors, temperature and humidity, are screened through the analysis of the typical characteristics of electric heating load. Combined with the actual data of a coal-to-electricity project in Beijing, the sensitivity coefficients of temperature and humidity factors to electric heating load are extracted by the method of over-regression analysis. A forecasting method of electric heating load based on temperature factor and humidity factor is proposed. Compared with the measured data, the proposed forecasting method has higher accuracy.
