Risk assessment method of power marketing operation based on convolutional neural network

Abstract

With the abolition of the sales price of China's industrial and commercial catalog, the competition in the power purchase market of industrial and commercial users is becoming increasingly stimulated. In order to solve the problem of difficult and low accuracy of power marketing operation risk assessment for industrial and commercial users, a power marketing operation risk assessment method based on convolutional neural network is proposed. Firstly, the neighbor propagation clustering method is used to analyze the clustering of industrial and commercial users, and the evaluation characteristics of industrial and commercial users are obtained. On this basis, the set of electric power marketing operation evaluation indicators is constructed. Secondly, the convolutional neural network is used to adjust the weight of the evaluation index, and the power marketing operation risk of industrial and commercial users is evaluated. Finally, the accuracy of the method was 96.37% when applied in a city. The application results show that the proposed method can effectively evaluate the risks of industrial and commercial power marketing.