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文章基本信息

  • 标题:An Intelligent Data Processing Method for ResidentialLoad Analysis
  • 本地全文:下载
  • 作者:Gaochao Cui ; Li Zhu ; Dongsheng Wang
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2016
  • 卷号:13
  • 期号:4
  • 出版社:IJCSI Press
  • 摘要:Objective: is to solve the problems existing in residential load data processing including massive amount data storage, processing efficiency and effective analysis. Methods: we proposed an overall processing architecture based on the residential load data characteristics. The improved clustering and associate rule mining algorithms have been fulfilled parallelization calculated through cloud computing. Results: 1) Residential electricity consumption patterns have been found out 2) The efficiency of our method has been varied compared with the current system under different amount of data. Conclusion: big data processing requirements are arising more in different fields, our method would be helpful in grid construction as well as the residential energy consuming modeling.
  • 关键词:cloud computing; residential load data; clustermodel; pattern recognition
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