Internet-of-Things-Assisted Smart Grid Applications in Industry 4.0

被引：1
|
作者：
Su, Jinglei [1 ]
Chu, Xue [2 ]
Chen, Ming [3 ]
Kadry, Seifedine [4 ]
机构：
[1] Jiangsu Normal Univ, Business Sch, Xuzhou 221116, Jiangsu, Peoples R China
[2] Qilu Normal Univ, State OwnedAssets Management Dept, Jinan 250200, Shandong, Peoples R China
[3] Qingdao Univ Sci & Technol, Sch Econ & Management, Qingdao 266061, Shandong, Peoples R China
[4] Beirut Arab Univ, Dept Math & Comp Sci, Beirut 115020, Lebanon
来源：
2020 5TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND ENVIRONMENTAL PROTECTION | 2020年 / 621卷
关键词：
D O I：
10.1088/1755-1315/621/1/012056
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper studies some recent advances in the field of Smart Grid, including the application of some intelligent algorithms to optimize energy efficiency and energy collection, in order to have some impact on the green theme of Smart Grid under the intelligent system of the Internet of Things. For optimization in SG, evolutionary or heuristic algorithms play an important role. Cat Swarm Optimization (CSO), Emperor Penguin Optimization (EPO), Butterfly Mating Optimazation (BMO), Honey Bee Mating Optimization (HBMO) and many other algorithms have been applied to SG optimization, and more and more flexible, skilled and robust algorithms will be added to contribute to SG optimization in the future.
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页数：4
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