Precise electricity consumption prediction provides an important basis for layout and construction of power grid. In order to solve the problems of single method

weak universality and low accuracy of prediction models

a monthly electricity consumption prediction method under mixed model on the basis of economic factors is proposed through analyzing the historical data of electricity consumption and economy. The regression analysis method and exponential smoothing method are combined to set up a mixed model of electricity consumption prediction

which contributes to the high prediction accuracy. At last

the proposed model is applied to the monthly electricity consumption prediction of Jiaxing area. The results show that its mean absolute percentage error（ MAPE） is 2. 31%

which verifies the effectively and universality of the model.