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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.

The Research on the Load Prediction for Ice Storage System Based on Rough Set