A new zone temperature predictive modeling for energy saving in buildings

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dc.contributor.authorHuang, H.
dc.contributor.authorChen, L.
dc.contributor.authorMohammadzaheri, M.
dc.contributor.authorHu, E.
dc.contributor.conferenceIEF International Energy Congress (2012 : Sydney)
dc.contributor.editorAbanteriba, S.
dc.date.issued2012
dc.description.abstractAbstract not available
dc.description.statementofresponsibilityHao Huang, Lei Chen, Morteza Mohammadzaheri and Eric Hu
dc.identifier.citationProceedings of Evolving Energy, the IEF International Energy Congress, held in Sydney, 17-18 September, 2012: pp.142-151
dc.identifier.doi10.1016/j.proeng.2012.10.122
dc.identifier.issn1877-7058
dc.identifier.orcidChen, L. [0000-0002-2269-2912]
dc.identifier.orcidHu, E. [0000-0002-7390-0961]
dc.identifier.urihttp://hdl.handle.net/2440/78054
dc.language.isoen
dc.publisherElsevier
dc.publisher.placeNetherlands
dc.relation.ispartofseriesProcedia Engineering
dc.relation.isreplacedby2440/91927
dc.relation.isreplacedbyhttp://hdl.handle.net/2440/91927
dc.rights© 2012 The Authors. Open access under CC BY-NC-ND license.
dc.source.urihttps://doi.org/10.1016/j.proeng.2012.10.122
dc.subjectHVAC; Artificial neural networks (ANN); Multi-zone
dc.titleA new zone temperature predictive modeling for energy saving in buildings
dc.typeConference paper
pubs.publication-statusPublished

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