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

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Editorial

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

Keywords

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

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10.1016/j.jpdc.2021.02.020

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Baker, T., Guo, Z., Awad, A. I., Wang, S., & Fung, B. C. M. (2021). Enabling Technologies for Energy Cloud. Journal of Parallel and Distributed Computing, 152, 108-110. https://doi.org/10.1016/j.jpdc.2021.02.020

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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.}",

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

language = "English",

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AU - Baker, Thar

AU - Guo, Zehua

AU - Awad, Ali Ismail

AU - Wang, Shangguang

AU - Fung, Benjamin C.M.

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.

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KW - Cybersecurity

KW - Cyber–physical systems

KW - Energy cloud

KW - Machine learning

KW - Networks security

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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

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