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  <titleInfo>
    <title>Electricity demand forecast for the Kingdom of Thailand</title>
  </titleInfo>
  <name type="personal">
    <namePart>Suwit Chetanachan</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Lucas, N.J.D.</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Sauter-Servaes, Florian</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Radok, J.R.M</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Detscher Akaderoischer Austauschdienst (DAAD)</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1985</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>94 p.</extent>
  </physicalDescription>
  <abstract>This thesis presents different methods of model formulation and application for the long run electricity demand forecast of the Kingdom of Thailand.  This is one of a few studies concerning regional analysis to  investigate and characterize the local demand pattern of electricity. It looks into the sectoral demand forecast of a region and of an integrated system.  The profound concept of dynamic response was formulated by using a  variable adjustment method to verify the dynamic effect of each socioeconomic variable and these are compared to the results of log-linear  demand models. The demand was also estimated by using various cases and the  results obtained were compared using the reference scenario of each case. </abstract>
  <note>A thesis submitted in partial fulfillment of requirements for the degree of Master of Engineering, School of Environment, Resources and Development</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1985</note>
  <subject authority="lcsh">
    <topic>Electric utilities</topic>
    <topic>Thailand</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Thesis ; no. ET-85-13</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
  </relatedItem>
  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B19995</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B19995</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">280998</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260818095502.0</recordChangeDate>
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