Artificial Intelligence for Power Electronics and Energy Systems Applications
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".
Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 4783
Special Issue Editors
Interests: artificial intelligence; cybersecurity; power electronics; energy systems
Special Issue Information
Dear Colleagues,
In modern society, artificial intelligence (AI) is being used in various industries and has brought about significant benefits. With this in mind, the Guest Editor is inviting submissions to a Special Issue of Energies on the topic of “Artificial Intelligence for Power Electronics and Energy Systems Applications.” It is crucial to predict how AI can be used to accelerate a more equitable energy transition throughout the industry and how our trust in this technology can be strengthened. In the energy sector, research on how to efficiently manage and utilize energy sources for power electronics-based distributed energy resources (DERs) is required. In addition, it is expected that the role of AI will increase in the construction of large-scale infrastructures, such as the management of the energy demand for transportation and buildings, and the construction of smart cities and smart grids. In particular, the efficient energy use and reduction using AI in autonomous vehicles are expected to make a significant contribution to increasing driving distance.
This Special Issue will address novel AI and machine learning (ML) applications in the industries. Topics of interest for publication include, but are not limited to:
- Smart grids;
- AI for power system applications;
- AI for intelligent control of power electronics;
- AI for energy systems applications;
- AI for distributed energy resources (DERs);
- AI for energy-related research;
- AI for connected autonomous vehicles (CAVs);
- AI for battery management systems (BMS)
- Maximizing energy efficiency with the use of AI;
- AI for cybersecurity of energy applications;
- Adversarial machine learning (ML) for energy applications;
- Robust ML for energy applications.
Dr. Junho Hong
Dr. Chih-Che (Ryan) Sun
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. Energies 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 2600 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
- artificial intelligence
- machine learning
- smart grid
- connected autonomous vehicles
