Abstract: With the reform of the electric marketization，it is of great and far-reaching significance for the

construction of the electricity market to analyze clearly the credit evaluation problems of power users as the main

market. Aiming at the problem of power user credit evaluation，a comprehensive evaluation method based on the

analytic hierarchy process（AHP）and Adaboosting algorithm was proposed. Based on the power user data

information，a normalized comprehensive evaluation index system was established. A credit evaluation model based on the AHP was constructed，and the suitable candidate classification algorithms were selected out from the typical classification algorithms. The Adaboosting algorithm was adopted to perform the linear dynamic weighting on the candidate classification algorithms，and a combined classification model was established by training sample data. The proposed method was verified with the actual power user information data. The results show that the proposed method has higher evaluation accuracy and area under curve（AUC）value，and has better applicability with the existing classification methods.

      Key words: power users ；credit evaluation ；analytic hierarchy process（AHP）；Adaboosting algorithm