Earticle

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

키워드

저자

• Shi XiaoXia [ Automation Department, Beijing University of Civil Engineering and Architecture, Beijing, China, 100044 ]
• Wang Dong [ Automation Department, Beijing University of Civil Engineering and Architecture, Beijing, China, 100044 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605