New Trends in Computing Science for Smart Grid

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 72

Special Issue Editors


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Guest Editor
Department of Automatics, Federal University of Lavras (UFLA), Caixa Postal 3037, Lavras 37203-202, MG, Brazil
Interests: power quality; power system; smart grids; smart home; pattern recognition; signal processing; biomedical engineering; computational intelligence

E-Mail Website
Guest Editor
Department of Electrical Circuits, Federal University of Juiz de Fora (UFJF), Juiz de Fora 36036-330, MG, Brazil
Interests: power quality; power system; smart grids; pattern recognition; signal processing; computational intelligence; electronic instrumentation; experimental high energy physics

Special Issue Information

Dear Colleagues,

Smart grids transform the traditional power grid into a highly dynamic, interactive, and efficient system. This transformation is in part driven by advances in computer science, including digital signal processing, artificial intelligence, machine learning, big data analytics, and cybersecurity.

The Special Issue on “New Trends on Computer Science for Smart Grids” seeks original and high-quality research contributions exploring the latest advancements in computer science and their applications in various aspects of smart grids, addressing the following topics of interest which include but are not limited to:

  • Artificial intelligence and machine learning for smart grid applications;
  • Big data analytics for smart grids;
  • Optimization techniques for smart grids;
  • Cybersecurity for smart grids;
  • Communication and networking technologies for smart grids;
  • Edge computing for smart grids;
  • Control and stability for smart grids;
  • Power quality monitoring and assessment on smart grids.

Prof. Dr. Danton Ferreira
Dr. Augusto Santiago Cerqueira
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • machine learning
  • big data
  • cybersecurity
  • edge computing
  • power quality
  • smart grids

Published Papers

This special issue is now open for submission.
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