Evaluation Method of Service Quality in Power Station Area Considering Customer Satisfaction

In order to improve the service quality of the power station area, a service quality evaluation method of the power station area considering customer satisfaction is proposed. Establish an evaluation index system and evaluation model, and obtain the index weight value; use the fusion algorithm of XGBoost and logistic regression to predict and classify user satisfaction, and establish a service risk prediction model according to the classification results; The algorithm combining "soft classification" of Gaussian mixture model and EM model is applied to build a customer behavior portrait and realize personalized service. Taking Ningxia Wuzhong Company as an example for experimental analysis, the experimental results show that the evaluation results of the proposed method match the actual situation by up to 92%. The application of this evaluation method has a high excellence rate in the background area and a low unqualified rate in the station area, indicating that the application of "station area service quality management" has achieved initial results.