TY - JOUR
T1 - A new zone temperature predictive modeling for energy saving in buildings
AU - Huang, Hao
AU - Chen, Lei
AU - Mohammadzaheri, Morteza
AU - Hu, Eric
N1 - Funding Information:
The authors would like to thank Adelaide Airport Limited for proving financial support and data for this study.
PY - 2012
Y1 - 2012
KW - Artificial neural networks (ANN)
KW - HVAC
KW - Multi-zone
UR - http://www.scopus.com/inward/record.url?scp=84882290433&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84882290433&partnerID=8YFLogxK
U2 - 10.1016/j.proeng.2012.10.122
DO - 10.1016/j.proeng.2012.10.122
M3 - Conference article
AN - SCOPUS:84882290433
SN - 1877-7058
VL - 49
SP - 142
EP - 151
JO - Procedia Engineering
JF - Procedia Engineering
T2 - Evolving Energy-International Energy Foundation International Energy Congress, IEF-IEC 2012
Y2 - 1 September 2012 through 1 September 2012
ER -