Artificial Intelligence Applications in Electrical and Energy Systems

Dear Colleagues,

The Special Issue on "Artificial Intelligence Application in Electrical and Energy Systems" aims to explore the transformative impact of AI technologies on the modern electrical and energy sectors. As these fields confront unprecedented challenges related to efficiency, reliability, and sustainability, AI offers innovative solutions for optimizing operations, predicting failures, and integrating renewable energy sources. This Issue will present cutting-edge research and case studies demonstrating how AI techniques such as machine learning, deep learning, and data analytics are being applied to enhance grid management, improve energy storage systems, and develop smart grid technologies. By bridging the gap between AI advancements and practical energy applications, this Special Issue seeks to highlight the potential for AI to drive significant improvements in energy system performance and resilience.

This collection of papers will cover a wide array of topics including, but not limited to, AI-driven predictive maintenance, demand forecasting, energy consumption optimization, and the role of AI in facilitating the transition to decentralized and renewable energy systems. Contributions from both academia and industry are welcomed, providing a comprehensive view of current trends, challenges, and future directions. The Special Issue aims to serve as a valuable resource for researchers, practitioners, and policymakers, fostering a deeper understanding of how AI can be harnessed to address some of the most pressing issues in the electrical and energy sectors. Through this collaborative effort, we hope to inspire the further innovation and adoption of AI technologies to create more efficient, reliable, and sustainable energy systems for the future.

Suggested themes include, but are not limited to, the following:

• Forecasting applications in power systems;
• AI-driven predictive maintenance;
• Demand side flexibility;
• Energy management;
• Increasing renewable penetration;
• AI driven application in power electronics.

In this Special Issue, original research articles and reviews are welcome.

We look forward to receiving your contributions.

Dr. Noman Shabbir
Dr. Hadi A. Raja
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.

• artificial intelligence
• electrical machine
• renewable energy systems