电测与仪表2016，Vol.53Issue(z1)：70-73,4.
基于用电信息采集系统用户负荷特性聚类分析
Cluster analysis of load characteristic based on electricity consumption information acquisition system
朱天博 1傅军 2杨一帆 1孙志杰 2周辛南1
作者信息
- 1. 华北电力科学研究院有限责任公司，北京100045
- 2. 国网冀北电力有限公司电力科学研究院，北京100045
- 折叠
摘要
Abstract
Clustering analysis of load characteristic based on user load data of Consumption information acquisition sys-tem, is an important means for user classification. K-means clustering algorithm (K-means) is the the generally used load classification algorithm at present. K-means algorithm, however cannot ensure the optimal clustering number auto-matically. Aiming at this problem, the article puts forward a method to determine the clustering number based on cluster-ing result evaluation index and classification complexity. The method can reduce manual handling works in K-means classification process, and can obtain better clustering results. At the end of the article through the actual example analy-sis demonstrate the validity of the proposed classification method.关键词
负荷特性/聚类分析/K均值Key words
load characteristic/cluster analysis/K-means分类
信息技术与安全科学引用本文复制引用
朱天博,傅军,杨一帆,孙志杰,周辛南..基于用电信息采集系统用户负荷特性聚类分析[J].电测与仪表,2016,53(z1):70-73,4.
