Research and implementation of users’outage sensitivity score card based on logistic regression model

耿俊成; 张小斐; 袁少光; 万迪明

doi:10.3969/j.issn.1009-1831.2018.03.012

您当前的位置：

首页 >

文章列表页 >

Research and implementation of users’outage sensitivity score card based on logistic regression model

更新时间：2026-03-05

- Research and implementation of users’outage sensitivity score card based on logistic regression model
- Vol. 20, Issue 3, (2018)
- 作者机构：
  
  国网河南省电力公司电力科学研究院,郑州,450052
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2018.03.012
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
耿俊成, 张小斐, 袁少光, et al. Research and implementation of users’outage sensitivity score card based on logistic regression model[J]. 2018, 20(3).
DOI：

耿俊成, 张小斐, 袁少光, et al. Research and implementation of users’outage sensitivity score card based on logistic regression model[J]. 2018, 20(3). DOI： 10.3969/j.issn.1009-1831.2018.03.012.

摘要

对当前基于逻辑回归模型的客户敏感度分析模型输出结果复杂、不易理解与应用的问题，提出了一种基于逻辑回归模型的电力客户停电敏感度评分卡实施方法。从电网公司营销业务系统、95598系统提取客户停电敏感相关属性数据，通过信息值筛选出具有高预测力的属性；计算各属性的证据权重转换值，运用逻辑回归模型构建客户停电敏感度分析模型；基于停电敏感度分析模型的输出参数和各属性证据权重转换值，构建客户停电敏感度评分卡。以某电网公司实际数据对该方法进行了验证，取得了良好效果。

Abstract

Aiming at the problem that the output of the users’sensitivity analysis model based on the logistic regression is complex and not easy to understand and apply

an implementation method of the users’outage sensitivity score card based on logistic regression model is proposed.First

it extracts the attribute data related with users’outage sensitivity from the State Grid marketing business sys tem and 95598 system

and selects the high predictive attributes through the information value.Then

the weight of evidence of each attribute value is calculated

and users’outage sensitivity analysis model is constructed Finally

the users’outage sensitivity score card is constructed based on the output parameter of sensitivity analysis model and the weight of evidence values.The method is verified by the actual data and the verification achieves good results.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

AI问答

⁰