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The Study on Cooling Load Forecast using Neural Networks  

신관우 (공주대학교 전기공학과)
이윤섭 (공주대학교 전기공학과)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.14, no.8, 2002 , pp. 626-633 More about this Journal
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
Cool load forecast; Ice storage systems; Neural network;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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