AI Facilitated Cyber–Physical Energy Systems—Planning, Operation, and Markets
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 308
Special Issue Editors
Interests: HVDC transmission systems; wind generation; smart meters
Special Issue Information
Dear Colleagues,
We are pleased to invite contributions to this Special Issue on the topic of “AI Facilitated Cyber–Physical Energy Systems—Planning, Operation, and Markets”. Prospective authors’ work may focus on a single or multiple topics included in this Special Issue. Modern power systems are rapidly evolving in a manner that is characterized by the convergence of physical infrastructure with advanced communication and computational layers. This transformation has ushered in an era where artificial intelligence (AI) plays a pivotal role in enhancing the resilience, efficiency, and sustainability of power systems. In today’s interconnected world, the integration of AI within cyber–physical energy systems has become indispensable. From optimizing grid operations to revolutionizing energy markets, AI technologies are driving unprecedented innovation. These advancements are not without challenges, particularly concerning security, privacy, and the seamless integration of legacy systems. This Special Issue seeks to explore these complexities, offering a platform for novel research and practical insights that address the multifaceted nature of AI-driven energy systems.
This Special Issue encourages new insight and discussion from experts across academia and industry and topics of interest for publication include, but are not limited to:
- The application of AI technologies in the optimization and control of power systems;
- Power system planning assisted by AI;
- Energy markets and energy trade using AI technologies;
- Security and privacy issues in cyber–physical energy systems;
- The application of generative AI for decision making in energy systems;
- Energy prediction and monitoring using deep learning;
- Smart homes and building energy management based on reinforcement learning;
- Case studies sharing experience from practitioners in the field;
- The decommissioning of legacy infrastructure aided by AI.
Dr. Stefanie Kuenzel
Dr. Xiaoyu Zhang
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
- cyber–physical systems
- deep learning
- generative AI
- reinforcement learning
- security and privacy
- case studies in planning, operations, and markets
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