Recent Advances in AI-Assisted Power Systems
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 34
Special Issue Editors
Interests: artificial intelligence system; security assessment in power systems; smart grid; power dispatch; load shedding forecasting
Interests: wind turbine aerodynamics; wind farm control; wind power prediction; wind farm optimization; offshore wind turbine; fluid–structure interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Power systems are undergoing significant transformations driven by the integration of renewable energy sources, distributed generation, and smart grid technologies. These changes introduce unprecedented complexity and operational challenges that traditional analytical methods struggle to address effectively. Artificial intelligence (AI) technologies have emerged as powerful tools for managing these complexities, offering innovative solutions for optimization, forecasting, control, and decision-making in modern power systems. Recent advancements in machine learning, deep learning, and computational intelligence have demonstrated significant potential to enhance power system reliability, efficiency, and sustainability while facilitating the transition toward cleaner energy infrastructures.
This Special Issue, titled “Recent Advances in AI-Assisted Power Systems”, seeks high-quality studies focusing on novel applications and theoretical developments of AI in power systems. Topics include, but are not limited to, the following:
- Machine learning for power system stability, security assessment, and control.
- AI-driven forecasting for renewable energy generation and load demand.
- Deep learning applications for fault detection and predictive maintenance.
- Reinforcement learning for energy management and market operations.
- Neural networks for power quality monitoring and improvement.
- AI techniques for smart grid optimization and distributed energy resources integration.
We look forward to receiving your contributions.
Dr. Ahmed Al-Masri
Prof. Dr. Tian Li
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. Processes 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 2400 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
- artificial intelligence
- power systems
- machine learning
- smart grid
- energy forecasting
- distributed energy resources
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
