Utvidet returrett til 31. januar 2025

Data Science and Applications for Modern Power Systems

av Le Xie
Om Data Science and Applications for Modern Power Systems

This book offers a comprehensive collection of research articles that utilize datäin particular large data sets¿in modern power systems operation and planning. As the power industry moves towards actively utilizing distributed resources with advanced technologies and incentives, it is becoming increasingly important to benefit from the available heterogeneous data sets for improved decision-making. The authors present a first-of-its-kind comprehensive review of big data opportunities and challenges in the smart grid industry. This book provides succinct and useful theory, practical algorithms, and case studies to improve power grid operations and planning utilizing big data, making it a useful graduate-level reference for students, faculty, and practitioners on the future grid.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783031290992
  • Bindende:
  • Hardback
  • Sider:
  • 452
  • Utgitt:
  • 21. juni 2023
  • Utgave:
  • 23001
  • Dimensjoner:
  • 160x30x241 mm.
  • Vekt:
  • 840 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 20. desember 2024

Beskrivelse av Data Science and Applications for Modern Power Systems

This book offers a comprehensive collection of research articles that utilize datäin particular large data sets¿in modern power systems operation and planning. As the power industry moves towards actively utilizing distributed resources with advanced technologies and incentives, it is becoming increasingly important to benefit from the available heterogeneous data sets for improved decision-making. The authors present a first-of-its-kind comprehensive review of big data opportunities and challenges in the smart grid industry. This book provides succinct and useful theory, practical algorithms, and case studies to improve power grid operations and planning utilizing big data, making it a useful graduate-level reference for students, faculty, and practitioners on the future grid.

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