Refined Analysis of User Load Based on Weighted Fuzzy Clustering

Abstract

As the development of intelligent power system, much importance and requirement have been attached to the load data analysis. In view of the current rough classification of load data, propose a weighted fuzzy clustering algorithm to detail the load classification dividing, which adds a weight distribution process to balance the different influence of various factors. In addition, Two group of experiments are set to verify the efficiency of this method. The experiment results show that the algorithm is effective to accurately cluster the load data and supportive to the fine analysis of load data.