A method to predict cooling load of large commercial buildings based on weather forecast and internal occupancy

2016年第10卷第4期

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《能源前沿（英文）》 >> 2016年第10卷第4期 doi: 10.1007/s11708-016-0424-8

A method to predict cooling load of large commercial buildings based on weather forecast and internal occupancy

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School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China

录用日期： 2016-10-08 发布日期： 2016-11-17

摘要

Considering the fact that customers of large commercial buildings have the characteristics of the higher density and randomness, this paper presented an air-conditioning 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.

关键词

commercial building ; load prediction ; multiple linear regression

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