Korean Journal of Air-Conditioning and Refrigeration Engineering (설비공학논문집)

The Society of Air-Conditioning and Refrigerating Engineers of Korea (대한설비공학회)
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A Study on Determining the Optimal Stop Time of HVAC System

공조설비 최적 정지시각 결정에 관한 연구

  • Published : 2001.01.01
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Abstract

The purpose of this study is to present the method to determine the optimal stop time of HVAC using Artificial Neural Network model, one of the learning methods. For this, the performance of determining the stop time of HVAC for unexperienced learning data was evaluated, and time interval for measurement of input data and permissible error needed for practical application of ANN model were presented using the results of daily simulation.

Keywords

References

  1. A Study on Determining the Optimal Start/Stop Time for HVAC System Using Artificial Neural Network Yang, In Ho
  2. ASHRAE Transaction v.99 Application of Neural Networking Models to Predict Energy Use Anstett, M.;Kreider, J. F.
  3. ASHRAE Transaction Artificial Neural Networks Demonstration for Automated Generation of Energy Use Predictors for Commercial Buildings Kreider, J. F.;Wang, X. A.
  4. JOURNAL OF THE ARCHITECTURAL INSTITUTE OF KOREA v.14 no.7 A Study on Determining the Optimal Preheating Time of Building Using Learning Method Yang, In Ho