摘要
电力客户分类是供电企业客户关系管理的基石,为了提高聚类算法的稳定性和精确性,提出了一种纵横交叉算法(CSO)与模糊C均值算法(FCM)有机结合的新聚类算法(CSO-FCM),并用新算法进行客户分类。新方法有效弥补了单一算法的不足,拥有模糊理论处理不确定信息的能力以及纵横交叉算法全局收敛性强的特点。利用新算法对电力客户数据进行客观、科学的挖掘分析,实现了对电力大客户较全面和准确的精细化分类,为供电企业制定有针对性的营销策略提供了依据。
Electrical consumers segmentation is the cornerstone of consumers relation management of electrical supply enterprises, in order to improve stability and exactness of clustering algorithm, this paper proposes a novel clustering algorithm to conduct consumers segmentation, which is organic combination by crisscross optimization algorithm and FCM. This method effectively compensates the demerits of single intelligent algorithm, which not only has the ability to dispose unstable information of fuzzy theory, but also has an advantage of global convergence of CSO. The new algorithm is used to objectively and scientifically analyze the electrical consumers data, achieving comprehensive and accurate segmentation, which can offer a pointed marketing strategies for enterprises.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2015年第20期150-154,共5页
Power System Protection and Control
基金
广东省自然科学基金(博士启动)项目(201304001 3776)
广东省电网公司科技项目(K-GD2013-0789)
关键词
客户细分
纵横交叉算法
模糊聚类
增值服务
consumers segmentation
crisscross optimization
fuzzy clustering
value-added services
