电力需求侧管理2016，Vol.18Issue(4)：46-49,4.DOI:10.3969/j.issn.1009-1831.2016.04.010
基于市场细分的逻辑回归模型在电费回收风险预测中的应用研究
Research on the risk prediction of electricity fee recovery using logistic regression based on the market segmentation theory
涂莹 1林士勇 2欧阳柳 1黄金2
作者信息
- 1. 浙江省电力公司，杭州 310007
- 2. 乐清市供电公司，浙江 乐清 325600
- 折叠
摘要
Abstract
Based on large data theory, using data mining technology with the SAS software, we construct a model on the risk prediction of electricityfee recovery using logistic regression.More importantly, we construct separated models for high⁃voltage users, low⁃voltage non⁃family users and low⁃voltage family users based on the market segmentation theory. All the accuracy rates are satis⁃fied, and provide data supporting to cut off the risk of electricity fee recovery and promote the rate of tariff recovery.关键词
电费回收/逻辑回归/市场细分/风险预测Key words
electricity cost recovery/logistic regression/mar-ket segmentation theory/risk prediction分类
管理科学引用本文复制引用
涂莹,林士勇,欧阳柳,黄金..基于市场细分的逻辑回归模型在电费回收风险预测中的应用研究[J].电力需求侧管理,2016,18(4):46-49,4.
