Intelligent Systems Applications to Electric Power Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: 25 May 2026
Special Issue Editors
Interests: power system planning and operation; electricity market; supply chain optimization; computational intelligence and their applications to power systems, and modeling, simulation; control of micro-grids with renewable; distributed energy sources
Interests: power systems control; intelligent control systems; optimal power system operation and planning; integration of modern control theory and AI in power systems
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Special Issue Information
Dear Colleagues,
The electric power system is undergoing a profound transformation, driven by the integration of renewable energy sources, the electrification of transportation and heating, large loads such as data centers, and the high penetration of distributed energy resources (DERs). This transition presents immense challenges related to grid stability, reliability, efficiency, and economics. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as powerful paradigms to address these complexities, offering unprecedented capabilities for prediction, optimization, and control.
This Special Issue, "Intelligent Systems Applications to Electric Power Systems," aims to gather high-quality, original research and comprehensive review articles that showcase the latest innovations and applications of AI in modernizing our power grids. We invite contributions that explore novel AI/ML algorithms, data-driven frameworks, and practical implementations across the entire spectrum of electric power systems—from generation to consumption.
We are particularly interested in manuscripts that address, but are not limited to, the following topics:
- Renewable Energy Forecasting: AI-based solar and wind power prediction.
- Grid Operations and Control: Intelligent voltage/VAR control, frequency regulation, and dynamic stability assessment.
- Load Forecasting: Short-term and long-term load prediction at various aggregation levels.
- Demand Response and Energy Management: AI-driven optimization for smart homes, buildings, industrial facilities, DERs, and virtual power plants.
- Power System Security and Resilience: AI for fault detection, cybersecurity threat identification, and grid restoration.
- Asset Management and Predictive Maintenance: Machine learning models for predicting failures in transformers, cables, and other critical components.
- Energy Markets: AI applications in transmission and/or distribution electricity market design, including bidding and clearing strategies.
- Distributed Energy Resources (DERs) Integration: Impact Study on the Distribution Network Considering Large Loads, Such as Data Centers.
- Power System Planning: AI Applications to Transmission and/or distribution planning, considering high renewable energy penetration.
Both original research articles and review papers are welcome. We look forward to your valuable contributions to this exciting and rapidly evolving field.
Dr. Wenlei Bai
Prof. Dr. Kwang Y. Lee
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
- artificial intelligence
- machine learning
- intelligent control
- deep learning
- electric power systems
- smart grid
- renewable energy forecasting
- virtual power plant
- grid optimization
- demand response
- predictive maintenance
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