| 模糊聚类方法在用户负荷曲线分析中的应用 |
| |
| 引用本文： | 仲伟宽. 模糊聚类方法在用户负荷曲线分析中的应用[J]. 华东电力, 2007, 35(8): 97-100 |
| |
| 作者姓名： | 仲伟宽 |
| |
| 作者单位： | 无锡供电公司,江苏,无锡,214061 |
| |
| 摘 要： | 采用基于负荷曲线进行用户分类的方法,运用数据挖掘技术中的模糊C均值聚类,将不同行业的用户混合在一起,利用聚类的观点将其分类,对各类负荷曲线进行分析和比较;将模糊C均值聚类算法应用在单个典型行业典型用户(主要是工业和三产的大用户)的分析中,可以发现不同季节、不同月份的负荷数据之间有一定的共性.
|
| 关 键 词： | 模糊聚类 电力负荷 负荷曲线 负荷特性分析 |
| 文章编号： | 1001-9529(2007)08-0097-04 |
| 修稿时间： | 2007-01-26 |
Application of fuzzy clustering method to user's load curve analysis |
| |
| ZHONG Wei-kuan. Application of fuzzy clustering method to user's load curve analysis[J]. East China Electric Power, 2007, 35(8): 97-100 |
| |
| Authors: | ZHONG Wei-kuan |
| |
| Abstract: | By using the load curve-based user classification method and the fuzzy C means clustering method of data mining technology,users of different industries were mixed and then classified based on clustering,and various kinds of load curves were analyzed and compared.The fuzzy C means clustering method was applied to analyzing the typical users of typical industries(the industrial users and users of the tertiary industry),and it is pointed out that there are some commonness among the load data of different seasons and different months. |
| |
| Keywords: | fuzzy clustering power load load curve load characteristic analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
