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

2016, Volume 10, Issue 4

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Frontiers in Energy >> 2016, Volume 10, Issue 4 doi: 10.1007/s11708-016-0424-8

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

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

Accepted: 2016-10-08 Available online: 2016-11-17

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Abstract

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.

Keywords

commercial building ; load prediction ; multiple linear regression

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