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The Study on Intelligent Cooling Load Forecast of Ice-storage System  

Koh, Taek-Beom (경주대학교 전기에너지전자공학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.11, 2008 , pp. 2061-2065 More about this Journal
Abstract
In the conventional operation of ice-storage system based on operator's experience and judgement, the failure in forecast of cooling load occurs frequently due to operator's misjudgement and unskilled operation. This study presents the method of constructing self-organizing fuzzy models which forecast tomorrow temperature, humidity and cooling load periodically for economic and efficient operation of ice-storage system. To check the effectiveness and feasibility of the suggested algorithm, the actual example for forecasting temperature, humidity and cooling load of ice- storage system in KEPCO training institute, Sokcho, is examined. The computer simulation results show that the accuracy of temperature, humidity, cooling load forecast of the suggested algorithm is higher than that of the conventional methods.
Keywords
Cooling load forecast; Ice-storage system; Self-organizing fuzzy model;
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