원문정보
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초록
영어
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.
목차
Abstract
1. Introduction
1.1 Ice Storage System
1.2 The Method of Load Prediction
2. The RS Theory
3. SVM
4. A Building Cooling Load Prediction Model
4.1 The Steps for Load Forecasting Model
4.2 The Model based on the Combination of RS and SVM
4.3 Application
5. Conclusion
ACKNOWLEDGEMENTS
REFERENCES
1. Introduction
1.1 Ice Storage System
1.2 The Method of Load Prediction
2. The RS Theory
3. SVM
4. A Building Cooling Load Prediction Model
4.1 The Steps for Load Forecasting Model
4.2 The Model based on the Combination of RS and SVM
4.3 Application
5. Conclusion
ACKNOWLEDGEMENTS
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보