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

The Society of Air-Conditioning and Refrigerating Engineers of Korea (대한설비공학회)
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The Study on Cooling Load Forecast using Neural Networks

신경회로망을 이용한 냉방부하예측에 관한 연구

  • 신관우 (공주대학교 전기공학과) ;
  • 이윤섭 (공주대학교 전기공학과)
  • Published : 2002.08.01
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Abstract

The electric power load during the peak time in summer is strongly affected by cooling load, which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice-storage system and heat pump system etc. are used to settle this problem. In this study, the method of estimating temperature and humidity to forecast the cooling load of ice storage system is suggested. And also the method of forecasting the cooling load using neural network is suggested. For the simulation, the cooling load is calculated using actual temperature and humidity, The forecast of the temperature, humidity and cooling load are simulated. As a result of the simulation, the forecasted data is approached to the actual data.

Keywords

References

  1. ASHRAE Transaction The Control of Ice-Storage System Mitchel, John W.
  2. UMI dissertation Evaluation of Optimal Control for Ice Storage Systems Gregor Pitter Daniel Dominikus Henze
  3. IEEE Transaction of Power System v.3 no.3 A Stochastic Computer Model for Heating and Cooling Loads Mortensen, R.E.
  4. IEEE Transaction on Power System v.PWRS-2 no.3 The Time series approach to Short Term Load Forecasting Hagan, Martin T.
  5. IEEE Transaction on Power System v.7 no.3 Weather Sesitivity Short Term Load Forecast Using Nonfully Connected Artifitial Neural Network Chan, Shin-Tzo
  6. KIEE v.39 no.8 Accelerating the Convergency and Improving the Learning Accuracy of BP Neural Network Lee, Y.S.
  7. Meteorological dynamics an introduction So, S.S.;Jung, C.H.