Study on Credit Evaluation of Power Consumer Based on the Clustering Analysis and AHP Method

Effective credit management is critical to the power company in the market operation. As for the power company, predicting the credit level of power consumers in advance is the important premise of implementing differential service. On basis of establishing the index system of credit evaluation, this paper classifies a large number of power consumers quickly and objectively according to their preprocessed index data samples. Then the weight of each index is calculated flexibly with the method of AHP (analytic hierarchy process). At last, the credit score of each consumer group which can represent the credit level of all power consumers belonging to the group is computed according to the index data of the group center, thus the credit level of each consumer can be determined. Meanwhile, this paper also provides a calculation example analysis, the result of which shows that the method used in this paper is fast, accurate and effective.