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Electricity Customers Credit Evaluation System Research

Author: WangLi
Tutor: ZhangYanZuo;HuJiangYi
School: North China Electric Power University (Beijing)
Course: Electricity market and marketing
Keywords: hybrid credit scoring model of Credit Evaluation Evaluation of power customer credit expert judgments AHP (AHP) Logistic regression
CLC: F426.61
Type: Master's thesis
Year: 2011
Downloads: 59
Quote: 0
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Abstract


With economic development, the number of Electricity customers increase in multiplied times. Consumer credit crisis has happened in power marketing Inevitablely. To reduce the risk of electricity supply corporation and improve the level of risk prediction in power industry users, this paper does some research in customer credit evaluation system of the power industry. From domestic and foreign research results, credit scoring practices and the power industry for many years in the marketing professionals and I work in the marketing front, the information obtained, through the Landfill customer credit score on power law index theory analysis and improvement of building, from the commercial credit, security credit, legal credit behavior, economic and legal credit, cooperative credit starting five-level indicators were selected 16 secondary indicators, rebuilding a set of unique marketing power customer credit score indicator system, and a detailed analysis the credit scoring system, detailed elements and indicators of trade-offs reason, this marketing system for the development of SG186 in the customer credit rating module has some reference value. In model construction aspects, pursuant to currently in China power customer credit evaluation development status and by construction model of can implementation sexual established has two a model, respectively is based on expert judgment and levels analysis method (AHP) of qualitative credit scoring model, and based on Logistic regression of quantitative credit scoring model, and by a power supply enterprise of customer sample data on by established of model for empirical analysis, confirmation model of rationality, analysis model of improved space, eventually established based on above two a model phase combination of AHP-Logistic mixed credit scoring model, in guarantee convergence sexual does not variable of situation forecast precision has does not small of improve, on promote power customer credit evaluation system of research is a model of innovation, in structure mixed model of thought is inspired.

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