A review of intelligent control techniques in HVAC systems
Two main objectives in the control of Heating, Ventilating and Air Conditioning (HVAC) systems are increasing thermal comfort and reducing energy consumption. Achieving these purposes requires a suitable control system design. In this paper, a thorough review of intelligent control techniques used i...
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creator | Mirinejad, H. Welch, K. C. Spicer, L. |
description | Two main objectives in the control of Heating, Ventilating and Air Conditioning (HVAC) systems are increasing thermal comfort and reducing energy consumption. Achieving these purposes requires a suitable control system design. In this paper, a thorough review of intelligent control techniques used in HVAC systems to date is completed. Such an overview provides an insight into artificial intelligence methods for the control of HVAC systems and can offer scholars and HVAC learners comprehensive information about a variety of soft computing techniques in the field of HVAC. This information can in turn allow for improved designs of a proper controller for their work. |
doi_str_mv | 10.1109/EnergyTech.2012.6304679 |
format | Conference Proceeding |
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This information can in turn allow for improved designs of a proper controller for their work.</description><subject>Artificial intelligence</subject><subject>Control systems</subject><subject>fuzzy control</subject><subject>Fuzzy systems</subject><subject>Genetic algorithms</subject><subject>Genetics</subject><subject>HVAC</subject><subject>neural network</subject><subject>Optimization</subject><subject>thermal comfort</subject><subject>USA Councils</subject><isbn>1467318361</isbn><isbn>9781467318365</isbn><isbn>1467318345</isbn><isbn>9781467318341</isbn><isbn>1467318353</isbn><isbn>9781467318358</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFj1FLwzAUhSMiqHO_wAfzB1pze9O09a2UuQmDvWy-jia7mZGu1SQq_fcWHHhePg4HPjiMPYBIAUT1uOjJH8ctmbc0E5ClCoVURXXBbmEiQokyv_wvCq7ZPIR3MaUoASTcsKeae_p29MMHy10fqevckfrIzdBHP3Q8TvbefX5RmGa-eq0bHsYQ6RTu2JVtu0DzM2ds97zYNqtkvVm-NPU6MSBlTHIUhUZQCAWoEi2WpJSVSoOWkFVUGA0ZCUPGHkxpLMoMDwpIi1y1eiozdv_ndUS0__Du1Ppxf_6Kv4UvSa0</recordid><startdate>201205</startdate><enddate>201205</enddate><creator>Mirinejad, H.</creator><creator>Welch, K. 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C.</creatorcontrib><creatorcontrib>Spicer, L.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mirinejad, H.</au><au>Welch, K. C.</au><au>Spicer, L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A review of intelligent control techniques in HVAC systems</atitle><btitle>2012 IEEE Energytech</btitle><stitle>EnergyTech</stitle><date>2012-05</date><risdate>2012</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><isbn>1467318361</isbn><isbn>9781467318365</isbn><eisbn>1467318345</eisbn><eisbn>9781467318341</eisbn><eisbn>1467318353</eisbn><eisbn>9781467318358</eisbn><abstract>Two main objectives in the control of Heating, Ventilating and Air Conditioning (HVAC) systems are increasing thermal comfort and reducing energy consumption. Achieving these purposes requires a suitable control system design. In this paper, a thorough review of intelligent control techniques used in HVAC systems to date is completed. Such an overview provides an insight into artificial intelligence methods for the control of HVAC systems and can offer scholars and HVAC learners comprehensive information about a variety of soft computing techniques in the field of HVAC. This information can in turn allow for improved designs of a proper controller for their work.</abstract><pub>IEEE</pub><doi>10.1109/EnergyTech.2012.6304679</doi><tpages>5</tpages></addata></record> |
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subjects | Artificial intelligence Control systems fuzzy control Fuzzy systems Genetic algorithms Genetics HVAC neural network Optimization thermal comfort USA Councils |
title | A review of intelligent control techniques in HVAC systems |
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