Arrears Forewarning Model for Power Clients Based on Grey System Theory

机译：基于灰色系统理论的电力客户欠费预警模型

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摘要

To be clear the default probability of electricity fees from power clients in advance and change the postponed management mode from to the advanced management mode, would decrease the default risk greatly in the process of electricity sales in the utility. Based on the analysis of complicated reasons of default, the main influenced factors as well as theirs effect on default is known, the forewarning model involved feature variables of default is constructed with the theory of Grey system predication, then, by the Grey cluster algorithm, which category that the client would be classified into would be discriminated according to the predicted value of theirs feature variables, which would be valuable reference for power company to Subdivision the customers market and make out the different credit management strategy.

机译：要事先清除电力客户的默认电费概率，并将延迟的管理模式从高级管理模式更改为高级管理模式，将会大大降低公用事业公司售电过程中的默认风险。在分析复杂的违约原因的基础上，了解了影响违约的主要因素及其影响，运用灰色系统预测理论构造了涉及违约特征变量的预警模型，然后通过灰色聚类算法，根据客户特征变量的预测值来区分客户将要分类的类别，这对于电力公司细分客户市场并制定不同的信用管理策略将具有参考价值。

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来源
《Advances in Information Theories and Technologies》|2007年|792-797|共6页
会议地点 Beijing(CN)
作者
WANG Fengxiang;
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作者单位

H. Zhou@School of Electric Engineering, Beijing Jiaotong University, 100044--Y. Wang@School of Electric Engineering, Beijing Jiaotong University, 100044--W. Wang@School of Electric Engineering, Beijing Jiaotong University, 100044--T. Li@Market Department, North of China Electric Power Grid Limited Company, 100053--H. Yang@Market Department, North of China Electric Power Grid Limited Company, 100053--;

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原文格式 PDF
正文语种 eng
中图分类经济信息管理;
关键词
Electricity Sales; credit indices; Arrears Forewarn; Grey system predication model; Grey Cluster; Market Subdivision;

机译：电力销售;信贷指标;欠款预警;灰色系统预测模型;灰色集群;市场细分;

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Arrears Forewarning Model for Power Clients Based on Grey System Theory

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