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Enabling Technologies for Energy Cloud

Baker, Thar (author)
Department of Computer Science, College of Computing and Informatics, University of Sharjah, United Arab Emirates
Guo, Zehua (author)
Beijing Institute of Technology, China
Awad, Ali Ismail (author)
Luleå tekniska universitet,Digitala tjänster och system,Electrical Engineering Department, Faculty of Engineering, Al-Azhar University at Qena, Qena 83513, Egypt. Centre for Security, Communications and Network Research, University of Plymouth, Plymouth PL4 8AA, United Kingdom
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Wang, Shangguang (author)
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China
Fung, Benjamin C.M. (author)
School of Information Studies, McGill University, Montreal, Canada
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 (creator_code:org_t)
Elsevier, 2021
2021
English.
In: Journal of Parallel and Distributed Computing. - : Elsevier. - 0743-7315 .- 1096-0848. ; 152, s. 108-110
  • Journal article (other academic/artistic)
Abstract Subject headings
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  • We are thrilled and delighted to present this special issue, which emphasises on the novel area of Enabling Technologies for Energy Cloud. This guest editorial provides an overview of all articles accepted for publication in this special issue.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Energy cloud
Machine learning
Artificial intelligence
Cybersecurity
Networks security
Cyber-physical systems
Information systems
Informationssystem

Publication and Content Type

vet (subject category)
art (subject category)

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