A Survey on Recent Applications of Artificial Intelligence and Optimization for Smart Grids in Smart Manufacturing

被引：2
|
作者：
Hsu, Chao-Chung [1 ]
Jiang, Bi-Hai [1 ]
Lin, Chun-Cheng [1 ,2 ]
机构：
[1] Natl Yang Ming Chiao Tung Univ, Dept Ind Engn & Management, Hsinchu 300, Taiwan
[2] Natl Chin Yi Univ Technol, Int Master Program Smart Mfg & Appl Informat Sci, Taichung 411, Taiwan
来源：
ENERGIES | 2023年 / 16卷 / 22期
关键词：
smart grid; artificial intelligence; optimization techniques; smart manufacturing; ENERGY-EFFICIENCY; RENEWABLE ENERGY; DECISION-MAKING; DEMAND RESPONSE; BIG DATA; ELECTRICITY; EVOLUTION; CHALLENGES; MANAGEMENT; ALGORITHM;
D O I：
10.3390/en16227660
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
To enable highly automated manufacturing and net-zero carbon emissions, manufacturers have invested heavily in smart manufacturing. Sustainable and smart manufacturing involves improving the efficiency and environmental sustainability of various manufacturing operations such as resource allocation, data collecting and monitoring, and process control. Recently, a lot of artificial intelligence and optimization applications based on smart grid systems have improved the energy usage efficiency in various manufacturing operations. Therefore, this survey collects recent works on applications of artificial intelligence and optimization for smart grids in smart manufacturing and analyzes their features, requirements, and challenges. In addition, potential trends and further challenges for the integration of smart grids with renewable energies for smart manufacturing, applications of 5G and B5G (beyond 5G) technologies in the SG system, and next-generation smart manufacturing systems are discussed to provide references for further research.
引用
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页数：15
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