The purpose of this research is to develop "The Optimization Tool" that achieves the optimization of the air-conditioning system operation in general building air-conditioning systems. The influence of errors in the load prediction, which is the biggest problem in realizing the optimization, is examined in this report. It is shown that there is a case where the operation deteriorates due to the optimization when the margin of error is large. Thus, an optimization technique that takes into account errors in the load forecasting is suggested, and the technique is proved to be a robust procedure which stably selects appropriate set values.
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