Advanced Artificial Intelligence/Machine Learning Techniques for Safe Operation and Control in Power and Sustainable Energy Systems
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 2
Special Issue Editors
Interests: energy management systems; applications of machine learning in smart grids; operation and control of power and energy systems
Special Issues, Collections and Topics in MDPI journals
Interests: battery design and manufacturing; battery modelling and control for electric vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: power systems; electrified transportation systems; cyber–physical systems
Special Issues, Collections and Topics in MDPI journals
Interests: power system automation; smart grids; microgrid operation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The increasing integration of distributed energy resources (DERs) into power distribution networks introduces numerous sources of uncertainty, significantly challenging the operation and control of power systems. These challenges may include grid stability, security risks, frequency instability, and voltage fluctuations. Conventional optimization methods often falter in handling such uncertainty, leading to increased operational costs and decreased service reliability. Recently, the rapid development of artificial intelligence/machine learning, especially deep reinforcement learning, has offered promising sustainable solutions for managing power system operations amidst these uncertainties. A key limitation of conventional deep reinforcement learning approaches, however, is their inability to ensure safety constraints during system operations, potentially resulting in electrical system instability or equipment failures.
Therefore, the safe operation of critical infrastructure, such as power and energy systems, has been attracting significant attention from the academic and industrial research communities. Integrating safety considerations into AI/ML is crucial for ensuring reliability, security, and efficiency across the generation, transmission, and distribution of electricity.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Advanced machine learning for power and energy systems;
- Energy management system implementation;
- Explainable AI (XAI) applications;
- Human-in-the-loop ML applications;
- Multiagent system-based management systems;
- Sustainable energy systems;
- Safe reinforcement learning in power system operation and control;
- Uncertainty mitigation with extensive DER integration.
- We look forward to receiving your contributions.
You may choose our Joint Special Issue in Sustainability
Dr. Van-Hai Bui
Dr. Xuan Zhou
Dr. Wencong Su
Dr. Akhtar Hussain
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. Algorithms 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 1600 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
- the applications of advanced machine learning in sustainable energy systems
- energy management systems
- microgrids
- power system operation and control
- reinforcement learning
