A method to predict cooling load of large commercial buildings based on weather forecast and internal occupancy
2016
Considering the fact that customers of large commercial buildings have the characteristics of the higher density and randomness, this paper presented an airconditioning cooling load prediction method based on weather forecast and internal occupancy density. The multiple linear feedback regression model was applied to predict, with precision, the air conditioning cooling load. Case analysis showed that the largest mean relative error of hourly and the daily predicting cooling load maximum were 18.1% and 5.14%, respectively.
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