Smart grid and internet of things : second EAI International Conference, SGIoT 2018, Niagara Falls, ON, Canada, July 11, 2018, Proceedings /

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Bibliographic Details
Meeting name:EAI International Conference on Smart Grid and Internet of Things (2nd : 2018 : Niagara Falls, Ont.)
Imprint:Cham, Switzerland : Springer, 2019.
Description:1 online resource (x, 143 pages) : illustrations (some color)
Language:English
Series:Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-8211 ; 256
Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 256.
Subject:Smart power grids -- Congresses.
Internet of things -- Congresses.
Internet of things.
Smart power grids.
Electronic books.
Conference papers and proceedings.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11762123
Hidden Bibliographic Details
Varying Form of Title:SGIoT 2018
Other authors / contributors:Pathan, Al-Sakib Khan, editor.
Fadlullah, Zubair Md., editor.
Guerroumi, Mohamed, editor.
ISBN:9783030059286
3030059286
9783030059279
3030059278
9783030059279
9783030059293
3030059294
Digital file characteristics:text file PDF
Notes:International conference proceedings.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed January 10, 2019).
Summary:This book constitutes the refereed proceedings of the Second EAI International Conference on Smart Grid and Internet of Things, SGIoT 2018, held in Niagara Falls, Canada, Ontario, in July 2018. The 14 papers presented were carefully reviewed and selected from 25 submissions and present research results on how to achieve more efficient use of resources based largely on IoT-based machine-to-machine interactions in the smart grit communication networks. The smart grid also encompasses IoT technologies, which monitor transmission lines, manage substations, integrate renewable energy generation (e.g., solar or wind), and utilize hybrid vehicle batteries. Through these technologies, the authorities can smartly identify outage problems, and intelligently schedule the power generation and delivery to the customers.
Other form:Printed edition: 9783030059279
Printed edition: 9783030059293
Standard no.:10.1007/978-3-030-05928-6