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Big Data Analytics in Future Power Systems / edited by Ahmed F. Zobaa and Trevor J. Bihl.

Contributor(s): Material type: TextLanguage: English Publisher: Boca Raton, FL : CRC Press, 2018Edition: First editionDescription: 1 online resource (188 pages) : 79 illustrations, text file, PDFContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781315105499
Subject(s): Genre/Form: Additional physical formats: Print version: : No titleDDC classification:
  •  621.310285/57
LOC classification:
  • TK3105
Online resources: Available additional physical forms:
  • Also available in print format.
Contents:
Introduction. Big Data Application and Analytics in a Large-Scale Power System. The Role of Big Data in Smart Grid Communications. Big Data Optimization in Electric Power Systems: A Review. Security Methods for Critical Infrastructure Communications. Data-Mining Methods for Electricity Theft Detection Unit Commitment Control of Smart Grids. A New Transformer Differential Protection Algorithm Based on Data Pattern Recognition.
Abstract: Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids.
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Includes bibliographical references and index.

Introduction. Big Data Application and Analytics in a Large-Scale Power System. The Role of Big Data in Smart Grid Communications. Big Data Optimization in Electric Power Systems: A Review. Security Methods for Critical Infrastructure Communications. Data-Mining Methods for Electricity Theft Detection Unit Commitment Control of Smart Grids. A New Transformer Differential Protection Algorithm Based on Data Pattern Recognition.

Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids.

Also available in print format.

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