<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" dtd-version="1.3" article-type="research-article" xml:lang="en">
  <front>
    <journal-meta>
      <journal-title-group><journal-title>SET Proceedings</journal-title></journal-title-group>
      <issn pub-type="epub">2978-4387</issn>
      <publisher><publisher-name>Caravel Press</publisher-name></publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.65582/set.2013.151</article-id>
      <article-id pub-id-type="publisher-id">2013.151</article-id>
      <title-group><article-title>Multi-Dimensional Energy Optimisation System as an Intelligent Agent for Build Environments</article-title></title-group>
    <contrib-group>
      <contrib contrib-type="author" corresp="yes">
        <name><surname>Gökçe</surname><given-names>H. Ufuk</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
        <email>ufuk.gokce@eos-ses.de</email>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Gökçe</surname><given-names>K. Umut</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
        <email>umut.gokce@eos-ses.de</email>
      </contrib>
      <aff id="aff1">EOS Sustainable Energy Solutions GmbH, Vahrenwalder Str. 7, 30165, Hannover, Germany</aff>
    </contrib-group>
      <pub-date publication-format="electronic" date-type="pub"><day>26</day><month>08</month><year>2013</year></pub-date>
      <volume>12</volume>
      <issue>1</issue>
      <isbn publication-format="electronic">9789881543950</isbn>
      <fpage>1401</fpage>
      <lpage>1406</lpage>
      <self-uri xlink:href="https://caravelpress.com/proceedings/set/papers/2013.151"/>
      <history>
        <date date-type="received"><string-date>26 August 2013</string-date></date>
      </history>
      <permissions>
        <copyright-statement>© 2013 Copyright WSSET</copyright-statement>
        <copyright-year>2013</copyright-year>
      </permissions>
      <abstract><p>Wireless monitoring and optimisation of buildings’ energy consumption is of central importance for the renovation and energy-efficient operation of buildings since it allows the identification and correction of inefficient energy usage. Current studies show that improved building control systems can reduce the energy-consumption of buildings by 5 to 30%. In this regard, a single combined information and communication platform would not adequately predict the consequences of the building’s behaviour and the needs of the building occupant/operator to manage energy consumption efficiently. To avoid these shortcomings, a promising approach involves implementing multi-dimensional system architecture which can extract sensed data and building information from different data and information sources (e.g. wireless sensor networks, CAD tools), and processes and aggregates this data in an information management platform (e.g. Data Warehouse core). This approach maintains actionable information for the novel Monitoring Tools and Intelligent Control module which comprises scenario-based control algorithms.</p></abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Energy Efficiency</kwd>
        <kwd>Data Warehouse Technologies</kwd>
        <kwd>Artificial Intelligence</kwd>
        <kwd>Web Services</kwd>
      </kwd-group>
      <conference>
        <conf-date>26 to 29 August 2013</conf-date>
        <conf-name>12th International Conference on Sustainable Energy Technologies</conf-name>
        <conf-acronym>SET2013</conf-acronym>
        <conf-num>12</conf-num>
        <conf-loc>Hong Kong, China</conf-loc>
      </conference>
    </article-meta>
  </front>
  <body>
  </body>
  <back>
  </back>
</article>
