Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6685051 | Applied Energy | 2016 | 13 Pages |
Abstract
Results show that the designed neural network performs excellently in the prediction of the distribution of individual ASHRAE votes under defined conditions, and that it outperforms the classical PMV index in terms of prediction quality and the range of information contained in the prediction.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Jörn von Grabe,