Artificial Intelligence Applied to Power Systems and Lightning Protection
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 39
Special Issue Editors
Interests: lightning; EMC; HVDC
Interests: lightning; cable modeling; data science; EMC; grounding and earthing
Special Issues, Collections and Topics in MDPI journals
Interests: lightning; EMC; HVDC
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The application of Artificial Intelligence (AI) in power systems is enabling significant advancements in monitoring, fault prediction, and protection strategies. This Special Issue aims to highlight innovative research in and applications of AI techniques (including machine learning, deep learning, and data-driven modeling) enhancing the resilience, efficiency, and smartness of power systems, with a particular focus on lightning protection and risk mitigation strategies.
The Special Issue welcomes original research, case studies, and review articles that explore AI-based solutions for predicting lightning events, locating strikes, assessing risk to grid infrastructure, and designing adaptive protection systems. Contributions that exploit large-scale data from lightning detection networks, satellite observations, and sensors on power systems to improve forecasting and real-time decision-making are particularly encouraged. Interdisciplinary studies combining atmospheric science, electrical engineering, and computer science are also welcome.
Recommended AI-powered topics include, but are not limited to, the following:
- Lightning prediction;
- Lighting detection and localization;
- Lightning surge impact assessment on power lines;
- Grid vulnerability analysis;
- Intelligent lightning protection system design;
- Fault detection;
- Integration of lightning data into smart grid operation;
- Enhanced risk assessment for overhead and underground power lines;
- Real-time diagnostics and adaptive protection.
This Special Issue will serve as a platform for researchers and professionals to share breakthroughs that push the boundaries of how AI can be harnessed to build safer and smarter power systems.
Dr. Martino Nicora
Dr. Rodolfo Antônio Ribeiro De Moura
Dr. Daniele Mestriner
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- deep learning
- power systems
- smart grids
- lightning protection
- lightning detection
- lighting prediction
- fault detection
- risk assessment
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