New Insights in Industrial Electronics: Advanced Devices and Intelligent Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 719
Special Issue Editors
Interests: renewable energy integration and stabilization; voltage stability; micro grids and smart grids; robust control; electric vehicles; building energy management systems; battery energy storage systems and distributed generations
Special Issues, Collections and Topics in MDPI journals
Interests: fault detection and diagnosis; failure prognosis; cyberattack detection; fault-resilient control; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: diagnosis and fault tolerance of electrical machines; power electronics and drives
Special Issues, Collections and Topics in MDPI journals
Interests: power electronics-based electric vehicle charger (plug-in/wireless), application of intelligent power sharing in power electronics and power systems, microgrid and distributed energy system integration
Interests: smart grid and electric vehicle charging technology (V2G/G2V) integration; renewable energy; power system protection; power systems and power quality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Special Issue titled "New Insights in Industrial Electronics: Advanced Devices and Intelligent Systems" provides a comprehensive collection of research papers that explore cutting-edge innovations and advancements in the field of industrial electronics. This Special Issue focuses on two key areas: advanced devices and intelligent systems. It showcases the latest innovations in device technologies, including power electronics, electrical machines, sensors, actuators, and protection systems, highlighting their impact on power systems. Additionally, the Special Issue delves into the realm of intelligent power sharing and control systems, such as artificial intelligence, data analytics, machine learning, emphasising their role in optimising industrial processes, improving efficiency, power quality and enhancing productivity. The collection will provide a valuable resource database for researchers, and engineers seeking to stay updated on the forefront of industrial electronics
Prof. Dr. Jahangir Hossain
Prof. Dr. Mohamed Benbouzid
Prof. Dr. Antonio J. Marques Cardoso
Dr. Seyedfoad F. Taghizadeh
Dr. Sara Deilami
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- industrial electronics
- advanced devices
- power electronics
- intelligent systems
- artificial intelligence
- data analytics
- machine learning
