Cluster method for Hourly Water Consumption Profiles

摘要：

In order to discuss the consecutive profiles with mathematic tools, they should be cluster. As the shortcomings of traditional fuzzy C-means (FCM) algorithm to cluster diurnal demand profile, an improved fuzzy C-means algorithm with a new object function was proposed which is suitable for clustering profile. In this study, the results overcome the shortcomings of FCM algorithm for deciding cluster number, a improved method to restrict cluster error is proposed and the simulation results? .

关键词： Hourly water consumption profiles cluster improved fuzzy C-means (FCM) algorithm deviation limitation

作者: Jingqing Liu Cong Li Tuqiao Zhang

作者单位: College of Civil Engineering and Architecture, Zhejiang Unversity, Hangzhou, Zhejiang, China

会议类型: 国际会议

会议名称: 2012 International Conference on Electric Technology and Civil Engineering(2012 电子技术与土木工程国际会议 ICETCE 2012)

会议地点: 三峡

会议语种:英文

页码: 64-67

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）