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  <titleInfo>
    <title>Ocean energy modeling and simulation with big data</title>
    <subTitle>computational intelligence for system optimization and grid integration</subTitle>
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  <name type="personal">
    <namePart>Khare, Vikas</namePart>
    <role>
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  <name type="personal">
    <namePart>Nema, Savita</namePart>
    <role>
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  <name type="personal">
    <namePart>Baredar, Prashant</namePart>
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    <place>
      <placeTerm type="text">Singapore</placeTerm>
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    <publisher>Elsevier</publisher>
    <dateIssued>2020</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>1 online resource (xiii, 355 pages) : illustrations (some color)</extent>
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  <tableOfContents>Preface -- 1. Fundamental and principles of the ocean energy system -- 2. Big data principles and paradigm -- 3. Ocean energy data learning from big data -- 4. Modeling of ocean energy system by big data analysis -- 5. Big data compliance for innovative ocean models -- 6. Ocean energy data stream management system -- 7. Market basket model of ocean energy system -- 8. Ocean energy disinflation and the utility tradeoff -- 9. Clustering approach in ocean energy data -- 10. Application of mining social network graph on the ocean energy system -- Index.</tableOfContents>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Ocean energy resources</topic>
    <topic>Computer simulation</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Big data</topic>
  </subject>
  <subject authority="rvm">
    <topic>�Energie des mers</topic>
    <topic>Simulation par ordinateur</topic>
  </subject>
  <subject authority="rvm">
    <topic>Donn�ees volumineuses</topic>
  </subject>
  <subject authority="fast">
    <topic>Big data</topic>
  </subject>
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    <titleInfo>
      <title>Ocean energy modeling and simulation with big data</title>
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    <name>
      <namePart>Khare, Vikas.</namePart>
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    <originInfo>
      <publisher>Amsterdam : Butterworth-Heinemann, 2020</publisher>
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    <identifier type="local">(OCoLC)1173135105</identifier>
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  <identifier type="isbn">0128189053</identifier>
  <identifier type="isbn">9780128189054</identifier>
  <identifier type="isbn">0128189045</identifier>
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