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Intelligent predictive control for thermal comfort and energy savings in public buildings

dc.contributor.authorRuano, Antonio
dc.date.accessioned2014-07-17T12:17:58Z
dc.date.available2014-07-17T12:17:58Z
dc.date.issued2012
dc.date.updated2014-07-16T15:40:36Z
dc.description.abstractThis talk addresses the problem of controlling a heating ventilating and air conditioning system with the purpose of achieving a desired thermal comfort level and energy savings. The formulation uses the thermal comfort, assessed using the predicted mean vote (PMV) index, as a restriction and minimises the energy spent to comply with it. This results in the maintenance of thermal comfort and on the minimisation of energy, which in most operating conditions are conflicting goals requiring some sort of optimisation method to find appropriate solutions over time.por
dc.identifier.citationRuano, Antonio Eduardo de Barros. Intelligent Predictive Control for Thermal Comfort and Energy Savings in Public Buildings, Trabalho apresentado em International Conference on Global Research and Education (INTER-ACADEMIA 2012), In Proceedings of the International Conference on Global Research and Education, Budapeste, 2012.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/4779
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectIntelligent and soft computing techniquespor
dc.titleIntelligent predictive control for thermal comfort and energy savings in public buildingspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBudapestepor
oaire.citation.endPage28por
oaire.citation.startPage28por
oaire.citation.titleInternational Conference on Global Research and Education (INTER-ACADEMIA 2012)por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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