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    <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.2011.296</article-id>
      <article-id pub-id-type="publisher-id">2011.296</article-id>
      <title-group><article-title>Incorporating Seasonal Variation of Occupancy in an Electricity Demand Model for Dynamic Demand Management Simulations</article-title></title-group>
    <contrib-group>
      <contrib contrib-type="author" corresp="yes">
        <name><surname>Fazeli</surname><given-names>Amir</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
        <email>laxaf4@nottingham.ac.uk</email>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Gillott</surname><given-names>Mark</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Johnson</surname><given-names>C Mark</given-names></name>
        <xref ref-type="aff" rid="aff2"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Sumner</surname><given-names>Mark</given-names></name>
        <xref ref-type="aff" rid="aff2"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Parra</surname><given-names>David</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <aff id="aff1">Institute of Sustainable Energy Technology, Sustainable Research Building, University Park, Nottingham, NG7 2RD</aff>
      <aff id="aff2">Department of Electrical and Electronic Engineering, University Park, Nottingham, NG7 2RD</aff>
    </contrib-group>
      <pub-date publication-format="electronic" date-type="pub"><day>04</day><month>09</month><year>2011</year></pub-date>
      <volume>10</volume>
      <isbn publication-format="electronic">978-1-995850-03-0</isbn>
      <fpage>1</fpage>
      <lpage>7</lpage>
      <self-uri xlink:href="https://caravelpress.com/proceedings/set/papers/2011.296"/>
      <history>
        <date date-type="received"><string-date>4 September 2011</string-date></date>
      </history>
      <permissions>
        <copyright-statement>© 2011 Copyright WSSET</copyright-statement>
        <copyright-year>2011</copyright-year>
      </permissions>
      <abstract><p>With increasing uptake of distributed generation into existing electrical network and the considering the importance of reducing the CO2 emission there is more emphasis on incorporating Demand Side Management (DSM) to the electricity network in the UK. Having a reliable model of domestic electricity demand is required in order to simulate any energy management control techniques for different household community sizes. The UK Time Use Survey (TUS) 2000 data [12] is used to create a model for electricity demand. By introducing new seasonal and monthly classes in processing the TU data, the effect of seasonal variation on active occupancy and electricity demand have been investigated in this work. Active occupancy is defined as the presence of residence at home when they are awake. Additionally an attempt has been made to calibrate the electricity demand model to monitored energy consumption of a particular dwelling at Creative Energy Homes (CEH).</p></abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Active Occupancy</kwd>
        <kwd>Demand Side Management</kwd>
        <kwd>Distributed Generation</kwd>
        <kwd>Electricity demand model</kwd>
        <kwd>Markov–Chain technique</kwd>
        <kwd>Smart Energy Community</kwd>
      </kwd-group>
      <conference>
        <conf-date>4 to 7 September 2011</conf-date>
        <conf-name>10th International Conference on Sustainable Energy Technologies</conf-name>
        <conf-acronym>SET2011</conf-acronym>
        <conf-num>10</conf-num>
        <conf-loc>Istanbul, Türkiye</conf-loc>
      </conference>
    </article-meta>
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