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  <titleInfo>
    <title>Mathematical programming for power systems operation</title>
    <subTitle>from theory to applications in python</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Garcés, Alejandro</namePart>
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    <dateIssued encoding="marc">2021</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xiii, 282 pages :  illustrations ;  24 cm. </extent>
  </physicalDescription>
  <tableOfContents>Power systems operation -- Mathematical programming -- A brief introduction to mathematical optimization -- Convex optimization -- Convex programming in python -- Conic optimization -- Robust optimization -- Power systems operation -- Economic dispatch of thermal units -- Unit commitment -- Hydrothermal scheduling -- Active distribution networks -- State estimation and grid identification -- Demand-side management -- The nodal admittance matrix -- Complex linearization -- Some python examples. </tableOfContents>
  <note type="statement of responsibility">Alejandro Garcés.</note>
  <note>Includes bibliographical references and index. </note>
  <subject authority="lcsh">
    <topic>Electric power systems</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mathematical optimization</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Python (Computer program language)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Electric power systems</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Electric power distribution</topic>
    <topic>Data processing</topic>
  </subject>
  <classification authority="ddc" edition="23">621.3192 G165m</classification>
  <identifier type="isbn">9781119747260</identifier>
  <identifier type="lccn">2021946368</identifier>
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