Refined Analysis of User Load Based on Weighted Fuzzy Clustering

DOI

10.2991/icitmi-15.2015.22How to use a DOI?

Keywords

Refined Analysis; Weighted Fuzzy Clustering; Load Classification Dividing; Clustering Efficiency Estimating

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - J. Fan
AU  - X.L. Gao
AU  - X. Chen
AU  - K. Shi
AU  - P. Xu
AU  - H. Ye
PY  - 2015/10
DA  - 2015/10
TI  - Refined Analysis of User Load Based on Weighted Fuzzy Clustering
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 116
EP  - 122
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.22
DO  - 10.2991/icitmi-15.2015.22
ID  - Fan2015/10
ER  -