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Coupling AI in Electricity Markets

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "C: Energy Economics and Policy".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 721

Special Issue Editors


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Guest Editor
School of Automation, Central South University, Changsha 410083, China
Interests: electricity market and integration of renewable energy; artificial intelligence technology and its application in energy systems

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Guest Editor
Department of Electrical Engineering, University of Leuven, 3001 Leuven, Belgium
Interests: robust distributed coordination and control; specifically in the context of smart electric distribution networks; smart grids; user-centric energy systems; smart metering; distributed control; robust system design; sustainability; multi-energy systems; infrastructure interdependencies and dependability modelling; all in a context of energy and data infrastructures
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Special Issue Information

Dear Colleagues,

Electricity markets are key areas for achieving the energy transition and low-carbon development of smart grids, as well as being important application areas for artificial intelligence (AI) technologies. With the widespread integration of renewable energy, distributed generation, participation of users in demand response programs, electric vehicles, energy storage systems and other new power devices, the complexity and uncertainty of power systems are increasing, posing higher requirements for the operation mechanisms of electricity markets.

AI is widely considered to be a powerful technology that can effectively process the massive data in electricity markets, improve the efficiency and reliability of electricity markets, and foster the innovation and transformation of electricity markets. Work has shown that advanced AI technologies, such as federated learning, reinforcement learning, deep learning, deep reinforcement learning, graph neural networks, attention mechanisms, etc., provide workable solutions in various market scenarios and obtain promising results. How to explore and exploit the power of AI further to improve the performance and resilience of electricity markets remains an important and exciting research direction.

This Special Issue welcomes various papers related to “AI + electricity markets”, including but not limited to the following topics:

  • AI applications in electricity market forecasting, scheduling, optimization, and control;
  • AI applications in electricity market security, stability, and fault diagnosis;
  • AI applications in electricity market demand response, distributed energy, and energy storage;
  • AI applications in electricity market trading, pricing, and market design;
  • AI applications in electricity market regulation, policy, and social impact;
  • AI applications in the electricity market: new modes, new formats, and new technologies;

Dr. Zhifeng Qiu
Prof. Dr. Geert Deconinck
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

  • electricity market
  • artificial intelligence
  • AI applications

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Published Papers

This special issue is now open for submission.
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