A Statistic-Fuzzy Technique for Clustering Load Curves
A Statistic-Fuzzy Technique for Clustering Load Curves
复制标题
DOI：
10.1109/tpwrs.2007.894851
复制
发表时间：
2007-04
影响因子：
6.6
通讯作者：
Wenyuan Li;Jiaqi Zhou;Xiaofu Xiong;Jiping Lu
中科院分区：
文献类型：
--
作者：
Wenyuan Li;Jiaqi Zhou;Xiaofu Xiong;Jiping Lu
这封信提出了一种聚类负荷曲线的模糊技术。利用负荷曲线的历史统计记录建立相容模糊关系矩阵的隶属函数，利用模糊关系矩阵的自乘规则获得可传递的贴近度系数，利用贴近度系数对负荷曲线进行系统聚类。最后给出了一个应用实例
This letter presents a statistic-fuzzy technique for clustering load curves. Historical statistical records of load curves are used to create membership functions of the compatible fuzzy relation matrix and the self-multiplication rule of the fuzzy matrix is used to obtain the transferable nearness coefficients which can be utilized to systematically perform clustering of load curves. An example is given to demonstrate the application