Advanced Technologies for Power Systems—from Power Electronics to Smart Grid Optimization
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 799
Special Issue Editor
Interests: electric machines; electric drives; power electronics; sensor networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The continuing trend toward greater electrification in consumer, commercial, industrial, and transportation applications promises a dynamic transformation of modern power systems. This evolution encompasses two critical technological domains: power electronics for energy processing and intelligent systems for grid optimization. The growing penetration of these technologies in energy systems requires focused attention, with the main challenges being efficiency improvement, cost reduction, and improved reliability. Power electronic systems remain indispensable in modern energy applications, enabling efficient energy conversion across various engineering domains. Simultaneously, emerging smart grid technologies leveraging machine learning and advanced analytics are revolutionizing power loss reduction, demand forecasting, and network optimization. This Special Issue will focus on cutting-edge applications, including the following:
- Power electronics converters and electric motor drives
- Innovative approaches for power loss reduction in power systems
- Machine learning applications in monitoring and control
- AI-driven solutions for predictive maintenance and fault detection
- Intelligent integration of power systems
We invite original research contributions addressing theoretical developments, practical implementations, and case studies and reviews in these interconnected domains. High-quality submissions demonstrating novel methodologies with experimental or simulation validation are particularly encouraged for this comprehensive Special Issue.
Prof. Dr. Federico Barrero
Guest Editor
Manuscript Submission Information
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Keywords
- power electric systems
- energy loss reduction
- machine learning
- renewable integration
- fault detection
- artificial intelligence approach
- energy optimization
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