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IoT and Information Processing in Smart Energy Applications

Chiu, Wei-Yu et al.

IEEE communications magazine. Volume 55:Number 10 (2017, October 13th); pp 44-44 -- IEEE

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  • Title:
    IoT and Information Processing in Smart Energy Applications
  • Author: Chiu, Wei-Yu;
    Sun, Hongjian;
    Thompson, John;
    Nakayama, Kiyoshi;
    Zhang, Shunqing
  • Found In: IEEE communications magazine. Volume 55:Number 10 (2017, October 13th); pp 44-44
  • Journal Title: IEEE communications magazine
  • Subjects: Telecommunication--Periodicals; Special issues and sections--Internet of Things--Smart grids--Big Data--State estimation--5G mobile communication--Information exchange--Energy management
  • Rights: Licensed
  • Publication Details: IEEE
  • Abstract: The articles in this special section address smart energy applications from the perspective of the Internet of Things (IoT). For smart grid applications, we need to predict the electrical load so that the underlying smart grid can effectively balance the power supply and demand. In general, predictions are made based on the data obtained using IoT and smart meter technologies. The (IoT) could accelerate establishment of such infrastructures. With IoT technologies, many more devices could be controlled and managed through the Internet; data pertaining to the grid, commercial buildings, and residential premises can readily be collected and utilized. To derive valuable information from the data, further information and data processing become essential.
  • Identifier: System Number: ETOCvdc_100075437050.0x000001; Journal ISSN: 0163-6804; 10.1109/MCOM.2017.8067682
  • Publication Date: 2017
  • Physical Description: Electronic
  • Shelfmark(s): 4362.812900
  • UIN: ETOCvdc_100075437050.0x000001

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