4.6 Article

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

期刊

IEEE ACCESS
卷 9, 期 -, 页码 59564-59585

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3041178

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

资金

  1. Qatar National Research Fund (Qatar Foundation) through National Priorities Research Program (NPRP) [NPRP10-0101-170082]
  2. Qatar National Library

向作者/读者索取更多资源

Smart grids have been gradually replacing traditional power grids by integrating smart meters and information extraction units, allowing for opportunities in big data analytics. The success of smart grid energy paradigm relies on effective handling of big data. This paper delves into various big data technologies in the context of the smart grid, discussing challenges and opportunities brought by machine learning and big data.
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.

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