Abstract:The use of electricity is an important factor in the planning of the power system and the allocation of regional resources to improve the accuracy of the forecast。in this paper, the grey correlation analysis method combined with BP neural network is used to the analysis of electricity consumption forecast. First, using the grey correlation analysis method to analyze the main factors influencing the electricity consumption, through the correlation coefficient to determine the main factors influencing the power consumption; second , the identified three influence factors as the input parameters of BP network to establish the model of f electricity consumption prediction model .through the application of model test, the results show that the method has faster convergence speed and higher prediction accuracy, can be used as a reference method for prediction of power.