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Artificial Intelligence-Driven Innovations in Resilient Energy Systems
This special issue belongs to the section “AI-Driven Innovations“.
Special Issue Information
Dear Colleagues,
Energy systems that are flexible and resilient to changing conditions and demands are essential for the shift to smart communities. This Special Issue will examine the most recent Artificial Intelligence (AI)-driven developments that improve the sustainability and resilience of energy systems, emphasizing practical applications in microgrids, smart grids, infrastructure for electric vehicles, and the integration of renewable energy sources. We are looking for novel studies, reviews, and case studies that highlight how machine learning, advanced algorithms, and data analytics can be used to optimize energy systems in the future.
Contributions should focus on the main obstacles and possibilities presented by building robust energy networks that assist in the growth of smart communities. We welcome submissions that showcase multidisciplinary strategies and practical applications, offering perspectives on the changing field of energy management and its effects on society.
We look forward to your valuable contributions.
Dr. Morteza Nazari Heris
Dr. Mostafa Mohammadpourfard
Dr. Qiushi Cui
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 250 words) can be sent to the Editorial Office for assessment.
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. Computers is an international peer-reviewed open access monthly 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 1800 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
- machine learning
- deep learning
- data analytics
- smart grid
- renewable energy
- energy management
- cyber-physical systems
- resilience analysis
- energy storage
- demand response
- microgrids
- energy efficiency
- grid integration
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