Enabling Technologies for Energy Cloud

被引：1

作者：

Baker, Thar ^{[1
]}

Guo, Zehua ^{[2
]}

Awad, Ali Ismail ^{[3
,4
,5
]}

Wang, Shangguang ^{[6
]}

Fung, Benjamin C. M. ^{[7
]}

机构：

[1] Univ Sharjah, Coll Comp & Informat, Dept Comp Sci, Sharjah, U Arab Emirates

[2] Beijing Inst Technol, Yanan, Peoples R China

[3] Lulea Univ Technol, Dept Comp Sci Elect & Space Engn, S-97187 Lulea, Sweden

[4] Al Azhar Univ Qena, Fac Engn, Elect Engn Dept, Qena 83513, Egypt

[5] Univ Plymouth, Ctr Secur Commun & Network Res, Plymouth PL4 8AA, Devon, England

[6] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China

[7] McGill Univ, Sch Informat Studies, Montreal, PQ, Canada

来源：

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING | 2021年 / 152卷 / 152期

关键词：

Energy cloud; Machine learning; Artificial intelligence; Cybersecurity; Networks security; Cyber-physical systems; EFFICIENT; OPTIMIZATION; FRAMEWORK; ALGORITHM; INTERNET;

D O I：

10.1016/j.jpdc.2021.02.020

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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. (C) 2021 Elsevier Inc. All rights reserved.

引用

页码：108 / 110

页数：3

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