Development of Building Thermal Load and Discomfort Degree Hour Prediction Models Using Data Mining Approaches

Download
[thumbnail of energies-11-01570.pdf]
Preview
energies-11-01570.pdf - Published Version (2MB) | Preview
Available under license: Creative Commons Attribution
Export

Lin, Y, Zhou, S, Yang, Wei ORCID: 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

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)