Advances in Computational Intelligence for Control, Estimation, and Optimization in Power Systems, Electrical Machines, and Renewable Energy Systems
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: 20 January 2026 | Viewed by 6
Special Issue Editors
Interests: robotics and autonomous systems; control systems; AI-based decision making and planning
Special Issues, Collections and Topics in MDPI journals
Interests: electrical machines and energy conversion; power electronics and electrical drives; renewable energy systems and energy storage; electric vehicles; power system analysis distributed generation
Special Issues, Collections and Topics in MDPI journals
Interests: electrical machines and power electronics for applications such as renewable energy, electric traction systems, and electrical drives for industrial applications
Special Issues, Collections and Topics in MDPI journals
Interests: electric vehicles; energy storage systems; battery modeling; battery management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the growing complexity of modern power systems, electrical machines, and renewable energy integration, there is increasing demand for intelligent, adaptive, and robust methods to ensure efficient operation, reliability, and sustainability. Computational intelligence (CI) techniques, including artificial neural networks, fuzzy systems, evolutionary algorithms, and hybrid methods, have emerged as powerful tools to tackle challenges in modeling, control, estimation, and optimization within these domains.
This Special Issue will bring together cutting-edge research and practical advancements in the application of computational intelligence to power and energy systems. Contributions that highlight novel approaches, real-world implementations, and interdisciplinary innovations are especially welcome.
Topics of interest include, but are not limited to, the following:
- Computational Intelligence in Power Systems and Smart Grids;
- Advanced Modelling of Electrical Machines and Drives;
- Control Strategies for Power Electronics and Energy Conversion;
- Fault Diagnosis and Condition Monitoring using AI;
- State Estimation and Forecasting in Renewable Energy Systems;
- Optimization Techniques for Energy Management and Grid Stability;
- Hybrid and Adaptive Intelligent Systems for Microgrids and Distributed Generation;
- Machine Learning for Load Forecasting and Demand Response;
- Digital Twin and Intelligent Automation in Electrical Engineering Applications;
- Real-time Applications and Hardware-in-the-Loop Implementation of CI Techniques.
Dr. Amirmehdi Yazdani
Dr. Amin Mahmoudi
Dr. Solmaz Kahourzade
Dr. Zhongwei Deng
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
- computational intelligence
- artificial neural networks
- fuzzy logic systems
- genetic algorithms
- swarm intelligence
- intelligent control
- state estimation
- system identification
- electrical drives and motor control
- power electronics and converters
- renewable energy systems (wind, solar, hybrid)
- smart grid technologies
- energy storage optimization
- electric vehicles and transportation electrification
- microgrids and distributed generation
- power system stability and forecasting
- model predictive control
- fault detection and diagnostics
- data-driven energy management
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