Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications

被引：85
作者：
Syed, Dabeeruddin [1 ,2 ]
Zainab, Ameema [1 ]
Ghrayeb, Ali [2 ]
Refaat, Shady S. [2 ]
Abu-Rub, Haitham [2 ]
Bouhali, Othmane [3 ,4 ]
机构：
[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA
[2] Texas A&M Univ Qatar, Dept Elect & Comp Engn, Doha 23874, Qatar
[3] Texas A&M Univ Qatar, Res Comp, Doha 23874, Qatar
[4] Hamad Bin Khalifa Univ, Qatar Comp Res Inst, Doha 5825, Qatar
来源：
IEEE ACCESS | 2021年 / 9卷
关键词：
Smart grids; Big Data; Sensors; Intelligent sensors; Temperature sensors; Real-time systems; Monitoring; Big data; data analytics; smart grid; big data management; machine learning; SUPPORT VECTOR MACHINE; CLASSIFICATION; FRAMEWORK; CHALLENGES; PREDICTION; NETWORKS; SYSTEMS; TREES; SOLAR;
D O I：
10.1109/ACCESS.2020.3041178
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Smart grids have been gradually replacing the traditional power grids since the last decade. Such transformation is linked to adding a large number of smart meters and other sources of information extraction units. This provides various opportunities associated with the collected big data. Hence, the triumph of the smart grid energy paradigm depends on the factor of big data analytics. This includes the effective acquisition, transmission, processing, visualization, interpretation, and utilization of big data. The paper provides deep insights into various big data technologies and discusses big data analytics in the context of the smart grid. The paper also presents the challenges and opportunities brought by the advent of machine learning and big data from smart grids.
引用
收藏
页码：59564 / 59585
页数：22
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