A new zone temperature predictive modeling for energy saving in buildings

Hao Huang; Lei Chen; Morteza Mohammadzaheri; Eric Hu

doi:10.1016/j.proeng.2012.10.122

A new zone temperature predictive modeling for energy saving in buildings

Hao Huang^*, Lei Chen, Morteza Mohammadzaheri, Eric Hu

^*Corresponding author for this work

University of Adelaide

Research output: Contribution to journal › Conference article › peer-review

28 Citations (Scopus)

Original language	English
Pages (from-to)	142-151
Number of pages	10
Journal	Procedia Engineering
Volume	49
DOIs	https://doi.org/10.1016/j.proeng.2012.10.122
Publication status	Published (VoR) - 2012
Event	Evolving Energy-International Energy Foundation International Energy Congress, IEF-IEC 2012 - Sydney, NSW, Australia Duration: 1 Sept 2012 → 1 Sept 2012

Funding

The authors would like to thank Adelaide Airport Limited for proving financial support and data for this study.

Keywords

Artificial neural networks (ANN)
HVAC
Multi-zone

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10.1016/j.proeng.2012.10.122

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@article{a8469c090f344cf2b36bcc5c3843845c,

title = "A new zone temperature predictive modeling for energy saving in buildings",

keywords = "Artificial neural networks (ANN), HVAC, Multi-zone",

author = "Hao Huang and Lei Chen and Morteza Mohammadzaheri and Eric Hu",

note = "Funding Information: The authors would like to thank Adelaide Airport Limited for proving financial support and data for this study.; Evolving Energy-International Energy Foundation International Energy Congress, IEF-IEC 2012 ; Conference date: 01-09-2012 Through 01-09-2012",

year = "2012",

doi = "10.1016/j.proeng.2012.10.122",

language = "English",

volume = "49",

pages = "142--151",

journal = "Procedia Engineering",

issn = "1877-7058",

publisher = "Elsevier",

}

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 - https://www.scopus.com/pages/publications/84882290433

UR - https://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 -

A new zone temperature predictive modeling for energy saving in buildings

Funding

Keywords

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