Development of Building Thermal Load and Discomfort Degree Hour Prediction Models Using Data Mining Approaches
Download
Download
DownloadPreview
energies-11-01570.pdf
- Published Version
(2MB)
| Preview
Available under license: Creative Commons Attribution
Export
Lin, Y, Zhou, S, Yang, Wei 
ORCID: https://orcid.org/0000-0002-3673-6488, Shi, L and Li, CQ
(2018)
Development of Building Thermal Load and Discomfort Degree Hour Prediction Models Using Data Mining Approaches.
Energies, 11 (6).
ISSN 1996-1073
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/37446 |
| DOI | 10.3390/en11061570 |
| Official URL | https://www.mdpi.com/1996-1073/11/6/1570 |
| Subjects | Historical > FOR Classification > 1202 Building Current > Division/Research > College of Science and Engineering |
| Keywords | prediction model; thermal load; thermal comfort; building design; data mining |
| Citations in Scopus | 14 - View on Scopus |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)