| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 265335 | Energy and Buildings | 2007 | 8 Pages |
Abstract
An evaluation model for individual thermal comfort is presented based on the BP neural network. The train data came from a thermal comfort survey. The evaluation results of the model showed a good match with the subject's real thermal sensation, which indicated that the model can be used to evaluate individual thermal comfort rightly. Taken a room air conditioner as an example, the application of the NNEM in creating a microenvironment for individual was discussed. The result showed that the NNEM can play an important role of connecting individual thermal comfort with the control on the air conditioner.
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Weiwei Liu, Zhiwei Lian, Bo Zhao,