Paper Title:
Research of Electricity Customer Classifications Based on Kernel Clustering Algorithm under the Organic Combined Model
  Abstract

The principle of kernel methods combined with data description were analyzed and the organic combined model of particle swarm algorithm(PSO) and genetic algorithm(GA) was put forward firstly, then the kernel clustering algorithm under the organic combined model of the GA and the PSO was put forward. Finally, according to the customers’ data of certain electric power company, this kernel clustering algorithm was applied to classify the electricity customers into three groups: the first group includes 3 customers, 5 and 7 customers for the second group and the third group respectively. The result shows that the samples can be classified and the center of mass can be obtained using the data description based on kernel methods. But the clustering region is different when the of kernel method gets the different value. This makes the clustering process to be complex, also spends the longer time. While kernel method’s clustering algorithm organically combined with the PSO and GA can get the same result in the shorter time and the calculation is simpler

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4570-4574
DOI
10.4028/www.scientific.net/AMM.121-126.4570
Citation
S. X. Yang, H. Ding, "Research of Electricity Customer Classifications Based on Kernel Clustering Algorithm under the Organic Combined Model", Applied Mechanics and Materials, Vols. 121-126, pp. 4570-4574, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Xiao Hua Wang, Yong Mei Zhang
Abstract:On the premise of ensuring safety and reliability in electricity market environment, the goal of State Grid Corporation is that purchase AGC...
274
Authors: Hui Qin Sun, Zhi Hong Xue, Ke Jun Sun, Su Zhi Wang, Yun Du
Chapter 2: Manufacturing Technology
Abstract:BP neural network is currently the most widely used of neural network models in practical application in transformer fault diagnosis. BP...
789
Authors: Rui Ni Li, Xiao Yi Wang, Zai Wen Liu, Ji Ping Xu, Ling Bin Wang
Chapter 4: Waste Disposal and Recycling
Abstract:Various unusual conditions are likely to occur during sewage treatment process, which would lead to some consequences such as the decrease of...
622
Authors: Qian Qian Xu, Hai Yan Zhang, He Ping Hou, Zhuo Fei Xu
Chapter 7: Printing and Packaging Equipment
Abstract:The printing machine is a sort of large-scale equipment characterized by high speed and precision. A fault diagnosis method based on kernel...
395