Description

This study presents a performance comparison between selected white-, gray- and black-box models for indoor temperature prediction in a university building located at the SDU Campus Odense. It was found that the blackboxmodels outperform the gray- and white-box models in most cases, but the accuracy highly depends on the training data in terms of both period and modes of heat transfer covered by the data set. The average mean absolute error for the best performing black-box model was 0.4C as compared to 1.0C and 0.7C for the gray-box and whitebox models, respectively. In terms of accuracy, the graybox models are a reasonable alternative for black-box only in case of short-term predictions, in which their error decreases to around 0.3-0.8C , depending on the room.

Citation: ASHRAE/IBPSA-USA Bldg Simulation Conf, Sept 2018

Product Details

Published:

2018

Number of Pages:

8

Units of Measure:

Dual

File Size:

1 file , 980 KB

Product Code(s):

D-BSC18-C025