Cluster Analysis of Electrical Behavior

Lin Liu

Lin Liu, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China.

DOI: 10.4236/jcc.2015.35011                

Abstract

In this paper, we apply clustering analysis of data mining into power system. We adapt K-means clustering algorithm to analyze customer load, analyzing similar behavior between customer of electricity, and we adapt principal component analysis to get the clustering result visible, Simulation and analysis using matlab, and this well verify cluster rationality. The conclusion of this paper can provide important basis to the peak for the power system, stable operation the power system security.

Keywords

K-Means Clustering Analysis, Principle Component Analysis, The Power System

Conflicts of Interest

The authors declare no conflicts of interest.

References

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