Application of computer-based support vector machine technology in power customer credit rating

With the rapid development of the times, the field of computer technology is becoming wider and wider. In view of the research status of customer risk management in electric power enterprises, this paper establishes a customer risk assessment model based on computer support vector machine, and does some research work on the analysis and prediction of power customer credit. The experiment shows that the statistical learning method based on computer support vector machine can evaluate the credit of electric power customers, help electric power enterprises to select high-quality customers, and provide decision-making basis for electric power enterprises to actively prevent and avoid marketing risks.