Next-Generation Instrumentation and IoT-Enhanced Monitoring for Advanced Power Electronics Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 471
Special Issue Editors
Interests: mathematical modeling; programming; electronics; telecommunications; robotics; sensors; control systems engineering
Special Issues, Collections and Topics in MDPI journals
Interests: power electronics systems; renewable energy in power grids; RES power generation; determination of PV modules technical conditions
Special Issues, Collections and Topics in MDPI journals
Interests: electrical power engineering; computer simulation; renewable energy source optimization of power generation and consumption; RES technical condition analyses
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the integration of advanced instrumentation and IoT technologies to enhance monitoring and control in power electronics systems. As power electronics are fundamental to applications such as renewable energy, smart grids, electric vehicles, and industrial automation, the need for precise, real-time monitoring, and diagnostics is growing. This issue explores the role of IoT-enhanced systems, smart sensors, and next-generation instrumentation in improving the efficiency, reliability, and fault detection capabilities of power electronics.
The scope of the issue includes cutting-edge research on IoT-based remote monitoring, advanced data acquisition techniques, predictive maintenance, fault diagnostics, and the role of machine learning in enhancing system performance. Contributions focusing on innovations in sensor design, real-time data analytics, and their integration with power electronics across various applications are welcomed.
The purpose of this Special Issue is to showcase how IoT and advanced instrumentation can revolutionize the monitoring and management of power electronics systems. By highlighting both theoretical developments and practical implementations, this collection aims to bridge the existing gap in the literature, offering novel solutions to improve energy efficiency, reduce downtime, and extend system lifespan in power electronics.
Dr. Serhii Baraban
Dr. Olena Rubanenko
Dr. Milan Belik
Guest Editors
Manuscript Submission Information
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Keywords
- power electronics
- IoT integration
- instrumentation
- monitoring and diagnostics
- smart grids
- predictive maintenance
- sensor technologies
- condition monitoring
- machine learning in power systems
- fault detection and energy efficiency optimization
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