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 April 2025 | Viewed by 279
Special Issue Editors
Interests: power quality; power system; smart grids; smart home; pattern recognition; signal processing; biomedical engineering; computational intelligence
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
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Keywords
- artificial intelligence
- machine learning
- big data
- cybersecurity
- edge computing
- power quality
- smart grids
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