9781138095885-1138095885-Big Data Analytics in Future Power Systems

Big Data Analytics in Future Power Systems

ISBN-13: 9781138095885
ISBN-10: 1138095885
Edition: 1
Author: Ahmed F. Zobaa, Trevor J. Bihl
Publication date: 2018
Publisher: CRC Press
Format: Hardcover 174 pages
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Book details

ISBN-13: 9781138095885
ISBN-10: 1138095885
Edition: 1
Author: Ahmed F. Zobaa, Trevor J. Bihl
Publication date: 2018
Publisher: CRC Press
Format: Hardcover 174 pages

Summary

Big Data Analytics in Future Power Systems (ISBN-13: 9781138095885 and ISBN-10: 1138095885), written by authors Ahmed F. Zobaa, Trevor J. Bihl, was published by CRC Press in 2018. With an overall rating of 3.8 stars, it's a notable title among other Electrical & Electronics (Engineering) books. You can easily purchase or rent Big Data Analytics in Future Power Systems (Hardcover) from BooksRun, along with many other new and used Electrical & Electronics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.62.

Description

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.

  • Provide a general description and definition of big data, which has been gaining significant attention in the research community.
  • Introduces a comprehensive overview of big data optimization methods in power system.
  • Reviews the communication devices used in critical infrastructure, especially power systems; security methods available to vet the identity of devices; and general security threats in CI networks.
  • Presents applications in power systems, such as power flow and protection.
  • Reviews electricity theft concerns and the wide variety of data-driven techniques and applications developed for electricity theft detection.
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