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Smart_Grid_Big_Data_Analytics_Survey_of_Technologies_Techniques_and_Applications.pdf (3.44 MB)

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

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journal contribution
submitted on 2023-08-23, 08:47 and posted on 2023-08-31, 04:44 authored by Dabeeruddin Syed, Ameema Zainab, Ali Ghrayeb, Shady S. Refaat, Haitham Abu-Rub, Othmane Bouhali

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.

Other Information

Published in: IEEE Access
License: https://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.1109/access.2020.3041178

Funding

Open Access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

IEEE

Publication Year

  • 2021

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Texas A&M University at Qatar
  • Hamad Bin Khalifa University
  • Qatar Computing Research Institute - HBKU