Research on the credit evaluation model of electricity selling company based on GA-SVM

With the deepening of China's electric power system reform and the development of energy utilization technology, power selling companies are becoming the main body of multi-energy market. Reasonable credit evaluation analysis of power selling companies are carried out to improve the selectivity of customers in choosing power selling companies. To establish the credit evaluation system of power selling companies, this paper takes four aspects into consideration including the basic quality of the company, the financial status of the company, the rewards and punishments of the company and the fulfillment of social responsibilities. The weight of the indicator is determined based on the differentiated weighting model. MATLAB software is used to set the model parameters of genetic algorithm and support vector machine. Finally, the GA-SVM model after setting the parameters is used to train and test the data samples of the two sales companies A and B respectively, and the test results of the GA-SVM model are analyzed to obtain the reasons for the different credit evaluation scores of A and B. At the same time, it provides suggestions for the sales company to improve its credit level.