郑州大学学报（理学版）2016，Vol.48Issue(3)：113-117,5.DOI:10.13705/j.issn.1671-6841.2016090
基于大数据的电力用户群体识别与分析方法研究
Research on Method of Power User Group Identification and Analysis Based on Large Data
摘要
Abstract
With the rapid development of Energy Internet and smart grid, it is an important part of “In-ternet plus” smart energy to have a good understanding of the power users group behaviors and providing accurate power service. Based on large data analysis of the power users, the user similarity weight model was built and the “user-label” two-unit network was put forward to identify similar groups. In addition, the group attributes and typical electricity consumption characteristics were obtained. This method could help to identify the important user groups, who might need customized electricity services and value-add-ed services, for power suppliers. So the quality of power service could be greatly enhanced.关键词
大数据/电力用户/相似群体/用户标签Key words
big data/power users/similar group/user label分类
信息技术与安全科学引用本文复制引用
许长清,赵华东,宋晓辉..基于大数据的电力用户群体识别与分析方法研究[J].郑州大学学报（理学版）,2016,48(3):113-117,5.基金项目
国家自然科学基金民航联合研究重点支持项目(U1333201),河南省基础与前沿技术研究计划项目(112300410090) （U1333201）
