Analysis of Electricity Use Behavior with Clustering Method and Classification of Peak and Valley Periods
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DOI: 10.25236/iccpb.2018.024
Author(s)
Ke Xu, Yufeng Xia, Wenbin Ni, Ting Li
Corresponding Author
Yufeng Xia
Abstract
Based on the analysis of electricity price during peak period of electricity consumption, cluster analysis is carried out on the electricity consumption behavior of users who use electricity overload. The way of analysis is to make data analogy between the curve obtained by clustering analysis and the daily overload curve obtained under normal circumstances and the typical clustering algorithm of overload property, and confirm that the results obtained by clustering analysis algorithm are conclusive and effective. The clustering analysis of power consumption data of a large number of users also determines the algorithm used in clustering analysis on the basis of potential indicators, and its analysis results are more accurate.
Keywords
Load index, regulation potential, time-sharing price, cluster analysis