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  • 标题:The Research on the Load Prediction for Ice Storage System Based on Rough Set
  • 本地全文:下载
  • 作者:Shi XiaoXia ; Wang Dong
  • 期刊名称:International Journal of Smart Home
  • 印刷版ISSN:1975-4094
  • 出版年度:2015
  • 卷号:9
  • 期号:4
  • 页码:117-126
  • DOI:10.14257/ijsh.2015.9.4.12
  • 出版社:SERSC
  • 摘要:The accurate cooling load prediction of ice storage system is the basis and foundation for optimization control. In order to implement the optimal control of ice storage system, the accurate cooling load prediction is very important. This paper proposes that the SVM (support vector machine) combined with rough set is used for the load prediction of ice storage system. The simulation results proved that it opens a new avenue in load forecasting. SVM based on RS method is a promising alternative approach for cooling load prediction in a building.
  • 关键词:ice storage system; load prediction; SVM; rough set
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