2015
DOI: 10.14257/ijsh.2015.9.4.12
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The Research on the Load Prediction for Ice Storage System Based on Rough Set

Abstract: 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 coo… Show more

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Cited by 3 publications
(1 citation statement)
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“…This new strategy resulted in 4% reduction of the total energy usage. XiaoXia and Dong (2015) researched performance of an ice storage system using the support vector machine method (SVM) combined with the rough set method (RS) as a new approach for the load prediction. experimentally examined the newly designed solar air heater.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This new strategy resulted in 4% reduction of the total energy usage. XiaoXia and Dong (2015) researched performance of an ice storage system using the support vector machine method (SVM) combined with the rough set method (RS) as a new approach for the load prediction. experimentally examined the newly designed solar air heater.…”
Section: Literature Reviewmentioning
confidence: 99%