AI-Driven Innovations in Power Electronics and Smart Grids: Enhancing Efficiency, Reliability and Sustainability
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".
Deadline for manuscript submissions: 15 November 2025 | Viewed by 1152
Special Issue Editor
Interests: data science; cyber security; graph data analytics and modeling; social network analysis; artificial intelligence; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancements in artificial intelligence (AI) have significantly impacted various technological fields, including power electronics and smart grid systems. As energy demands continue to rise, there is an increasing need for intelligent solutions that optimize power generation, distribution, and consumption. AI-driven technologies offer the potential to revolutionize smart grids by enabling more efficient, reliable, and sustainable energy management. By integrating AI with power electronics, we can enhance real-time decision-making, improve fault detection, and optimize the integration of renewable energy sources, paving the way for the next generation of smart energy systems. This Special Issue seeks to explore these cutting-edge developments, bringing together research that bridges AI innovations with practical applications in the energy sector.
Releted Topics:
- AI-driven optimization in power electronics and smart grids.
- Machine learning for predictive maintenance in smart grids.
- Neural networks in fault detection and diagnosis.
- AI-enhanced power quality monitoring.
- AI for intrusion detection and prevention in smart grid infrastructure.
Dr. Nur Haldar
Guest Editor
Manuscript Submission Information
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Keywords
- AI-driven optimization
- machine learning
- fault detection
- energy management systems
- power quality monitoring
- cybersecurity in smart grids
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