Advanced Artificial Intelligence/Machine Learning Techniques for Safe Operation and Control in Power and Sustainable Energy Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 621
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: power systems; electrified transportation systems; cyber–physical 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 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.
Dr. Van-Hai Bui
Dr. Wencong Su
Dr. Xuan Zhou
Dr. Akhtar Hussain
Guest Editors
Manuscript Submission Information
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Keywords
- the applications of advanced machine learning in sustainable energy systems
- energy management systems
- microgrids
- power system operation and control
- reinforcement learning
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