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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/90638
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dc.contributor.authorHuang, H.-
dc.contributor.authorChen, L.-
dc.contributor.authorHu, E.-
dc.date.issued2015-
dc.identifier.citationBuilding and Environment, 2015; 89:203-216-
dc.identifier.issn0360-1323-
dc.identifier.issn1873-684X-
dc.identifier.urihttp://hdl.handle.net/2440/90638-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityHao Huang, Lei Chen, Eric Hu-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2015 Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.buildenv.2015.01.037-
dc.subjectModel predictive control; Neural network model; Energy efficiency; HVAC-
dc.titleA new model predictive control scheme for energy and cost savings in commercial buildings: an airport terminal building case study-
dc.typeJournal article-
dc.identifier.doi10.1016/j.buildenv.2015.01.037-
pubs.publication-statusPublished-
dc.identifier.orcidChen, L. [0000-0002-2269-2912]-
dc.identifier.orcidHu, E. [0000-0002-7390-0961]-
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Mechanical Engineering publications

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