Enabling Technologies for Energy Cloud

Thar Baker; Zehua Guo; Ali Ismail Awad; Shangguang Wang; Benjamin C.M. Fung

doi:10.1016/j.jpdc.2021.02.020

Enabling Technologies for Energy Cloud

Thar Baker, Zehua Guo, Ali Ismail Awad, Shangguang Wang, Benjamin C.M. Fung

Research output: Contribution to journal › Editorial › peer-review

2 Citations (Scopus)

Abstract

We are thrilled and delighted to present this special issue, which emphasizes 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.

Original language	English
Pages (from-to)	108-110
Number of pages	3
Journal	Journal of Parallel and Distributed Computing
Volume	152
DOIs	https://doi.org/10.1016/j.jpdc.2021.02.020
Publication status	Published - Jun 2021
Externally published	Yes

Keywords

Artificial intelligence
Cybersecurity
Cyber–physical systems
Energy cloud
Machine learning
Networks security

ASJC Scopus subject areas

Software
Theoretical Computer Science
Hardware and Architecture
Computer Networks and Communications
Artificial Intelligence

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10.1016/j.jpdc.2021.02.020

Cite this

@article{948b14730f5c4692a5b4b3928f574c14,

title = "Enabling Technologies for Energy Cloud",

abstract = "We are thrilled and delighted to present this special issue, which emphasizes 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.",

keywords = "Artificial intelligence, Cybersecurity, Cyber–physical systems, Energy cloud, Machine learning, Networks security",

author = "Thar Baker and Zehua Guo and Awad, {Ali Ismail} and Shangguang Wang and Fung, {Benjamin C.M.}",

note = "Funding Information: The guest editors would like to express sincere thanks to the Editor-in-Chief for allowing organizing this special issue. The editorial office people have done excellent work and thanks for their support. The guest editors are also thankful to all the authors who made this special issue possible through their contributions, and to the reviewers for their thoughtful comments and feedback. Publisher Copyright: {\textcopyright} 2021 Elsevier Inc.",

year = "2021",

month = jun,

doi = "10.1016/j.jpdc.2021.02.020",

language = "English",

volume = "152",

pages = "108--110",

journal = "Journal of Parallel and Distributed Computing",

issn = "0743-7315",

publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Enabling Technologies for Energy Cloud

AU - Baker, Thar

AU - Guo, Zehua

AU - Awad, Ali Ismail

AU - Wang, Shangguang

AU - Fung, Benjamin C.M.

N1 - Funding Information: The guest editors would like to express sincere thanks to the Editor-in-Chief for allowing organizing this special issue. The editorial office people have done excellent work and thanks for their support. The guest editors are also thankful to all the authors who made this special issue possible through their contributions, and to the reviewers for their thoughtful comments and feedback. Publisher Copyright: © 2021 Elsevier Inc.

PY - 2021/6

Y1 - 2021/6

N2 - We are thrilled and delighted to present this special issue, which emphasizes 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.

AB - We are thrilled and delighted to present this special issue, which emphasizes 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.

KW - Artificial intelligence

KW - Cybersecurity

KW - Cyber–physical systems

KW - Energy cloud

KW - Machine learning

KW - Networks security

UR - http://www.scopus.com/inward/record.url?scp=85102631904&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85102631904&partnerID=8YFLogxK

U2 - 10.1016/j.jpdc.2021.02.020

DO - 10.1016/j.jpdc.2021.02.020

M3 - Editorial

AN - SCOPUS:85102631904

SN - 0743-7315

VL - 152

SP - 108

EP - 110

JO - Journal of Parallel and Distributed Computing

JF - Journal of Parallel and Distributed Computing

ER -

Enabling Technologies for Energy Cloud

Abstract

Keywords

ASJC Scopus subject areas

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