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  <titleInfo>
    <title>Benefits of demand response with controllable loads in smart grid</title>
    <subTitle>a case study of Pattaya City, Thailand</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Tanit Chanraksa</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Singh, Jai Govind</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Weerakorn Ongsakul</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Loc Thai Nguyen</namePart>
    <role>
      <roleTerm type="text">Examination committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>PEA</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>AIT Education Cooperation Project</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Royal Thai Government Fellowship</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2019</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>77 leaves : ill. </extent>
  </physicalDescription>
  <abstract>Low participation of demand response programs (DRPs) in both customers and programs  launched by electric utility in Thailand nowadays. In order to motive a stakeholder, all  benefits in both financial and non-financial should be guided. With lots of DRPs launched  utility, customer may choose one DRPs to maximize their benefits. This work applies HiVE  Enerkey which is the smart artificial intelligence system and type of horne energy  management to control the appliances in two type of controllable loads, shiftable load such as  electric vehicles (EVs) and thermostat load such as air conditioner (At") with two different  DRPs which are critical peak pricing and emergency demand response programs. The Danish  distribution grid is selected as the case study. The impact of EV s penetration is analyzed first.  Then, the benefits for customers and utility are presented. The results show that critical peak  pricing can allow maximum financial benefit for participant, and both customers and utility  can also benefit from DRP shown in term of financial and non-financial benefits. The load  flow analysis and simulation modelling are carried out by MATLAB software. </abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 2019</note>
  <subject authority="lcsh">
    <topic>Smart power grids</topic>
    <geographic>Thailand</geographic>
    <geographic>Pattaya</geographic>
    <topic>Case studies</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. ET-19-06</title>
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    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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    <recordCreationDate encoding="marc">210205</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260817171303.0</recordChangeDate>
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