刘永光,孙超亮,牛贞贞,赵国生.改进型模糊C均值聚类算法的电力负荷特性分类技术研究[J].电测与仪表,2014,51(18):. liuyongguang,sunchaoliang,NIU Zhen-zhen,ZHAO Guo-sheng.Power Load Characteristic Classification Technology Research Based on An Improved Fuzzy C-means Clustering Algorithm[J].Electrical Measurement & Instrumentation,2014,51(18):.
改进型模糊C均值聚类算法的电力负荷特性分类技术研究
Power Load Characteristic Classification Technology Research Based on An Improved Fuzzy C-means Clustering Algorithm
Fuzzy C-means Clustering is the general load classification algorithm, However, the FCM is sensitive to the initial clustering center and cannot automatically determine the clustering number. In order to solve the problem, this paper proposes a modified FCM clustering method. The modified FCM clustering method utilizes an fast algorithm to determine the clustering center curve and clustering number firstly, the computer result is treated as the initial input of FCM, then use FCM to classify the power load. The modified FCM clustering method can reduce largely manual handling works. The practical examples verify the correctness of the proposed clustering method.
