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Secure and Efficient Communication in Smart Grids.

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Title: Secure and Efficient Communication in Smart Grids.
Authors: Fouda, Mostafa M.1,2 (AUTHOR) mfouda@ieee.org, Ibrahem, Mohamed I.3,4 (AUTHOR)
Source: Energies (19961073). Aug2023, Vol. 16 Issue 15, p5613. 2p.
Subject Terms: *Deep learning, *Smart power grids, *Machine learning, *Data privacy
Abstract: The existing literature and most recent techniques presented include traditional LF techniques, clustering-based techniques, Artificial intelligence (AI)-based techniques, LF techniques based on time series data, and meta-heuristic-based LF techniques. A brief summary of the contents associated with each of the selected papers belonging to this Special Issue is included below: In 'Privacy-Preserving Charging Coordination Scheme for Smart Power Grids Using a Blockchain', the authors Hany Habbak, Mohamed Baza, Mohamed M. E. A. Mahmoud, Khaled Metwally, Ahmed Mattar, and Gouda I. Salama [[1]] proposed a privacy-preserving charging coordination scheme using a blockchain. This Special Issue on "Secure and Efficient Communication in Smart Grids" received a total of 11 submitted articles, of which 5 were accepted and published after each passing an independent peer-review process. [Extracted from the article]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 169927745
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PubType: Academic Journal
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  Data: Secure and Efficient Communication in Smart Grids.
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  Data: <searchLink fieldCode="AR" term="%22Fouda%2C+Mostafa+M%2E%22">Fouda, Mostafa M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> mfouda@ieee.org</i><br /><searchLink fieldCode="AR" term="%22Ibrahem%2C+Mohamed+I%2E%22">Ibrahem, Mohamed I.</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Aug2023, Vol. 16 Issue 15, p5613. 2p.
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  Data: *<searchLink fieldCode="DE" term="%22Deep+learning%22">Deep learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Smart+power+grids%22">Smart power grids</searchLink><br />*<searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+privacy%22">Data privacy</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The existing literature and most recent techniques presented include traditional LF techniques, clustering-based techniques, Artificial intelligence (AI)-based techniques, LF techniques based on time series data, and meta-heuristic-based LF techniques. A brief summary of the contents associated with each of the selected papers belonging to this Special Issue is included below: In 'Privacy-Preserving Charging Coordination Scheme for Smart Power Grids Using a Blockchain', the authors Hany Habbak, Mohamed Baza, Mohamed M. E. A. Mahmoud, Khaled Metwally, Ahmed Mattar, and Gouda I. Salama [[1]] proposed a privacy-preserving charging coordination scheme using a blockchain. This Special Issue on "Secure and Efficient Communication in Smart Grids" received a total of 11 submitted articles, of which 5 were accepted and published after each passing an independent peer-review process. [Extracted from the article]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=169927745
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        Value: 10.3390/en16155613
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        Text: English
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      – SubjectFull: Deep learning
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      – SubjectFull: Smart power grids
        Type: general
      – SubjectFull: Machine learning
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              Text: Aug2023
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              Y: 2023
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