Abstract: Increasing power supply and improving the tariff recovery efficiency are the major approaches for power suppliers to enlarge their profit. And the payment time interval of electricity customers affects the completion of tariff recovery directly. Only using the information of users' continuous electricity consumption and payment time interval, we build a dynamic credit rating model by integrating both electricity consumption and payment time interval information based on improved “S” function. This model can be used for the dynamic evaluation of the continuous electricity consumption ability and payment positivity of electricity customers. Applying this model to the credit rating of electricity customers in Ningcheng county, Chifeng city, we verify that the credit rating results have high consistency with the results given by domain experts.

Key words: electricity consumption, payment time interval, user credit, dynamic rating model, credit rating

摘要： 加大供电量和提高电费回收效率是供电商增加收益的主要途径,并且用电客户的缴费时间差直接影响着电费回收效率。在用电客户信息较少的情况下,仅仅依赖用电客户的用电量信息和缴费时间差信息,采用扩展的“S型”函数对用电量信息和缴费时间差信息进行整合建模,构建了一个能够度量客户持续用电能力和缴纳电费积极性的客户信用动态评价模型。应用构建的模型对赤峰市宁城县实际用电客户进行信用评价,评价结果与领域专家评价结果具有较高的一致性。

关键词: 用电量, 缴费时间差, 客户信用, 动态评价模型, 信用评价