Machine Learning and Artificial Intelligence Techniques Applications in Renewable Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: 24 April 2026 | Viewed by 262
Special Issue Editor
Interests: control; modeling; simulation; artificial intelligence; fractional calculus; fractional-order control; evolutionary algorithms; robotics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The growing complexity of renewable energy systems demands advanced strategies to address challenges related to variability, stability, energy management, interoperability, and security. Recent advances in machine learning, deep learning, reinforcement learning, and hybrid models have demonstrated high potential in improving the efficiency, reliability, and sustainability of smart grids and renewable energy systems. These approaches are expected to accelerate the transition toward cleaner and more sustainable energy solutions.
This Special Issue aims to collect and promote the most recent advances in the theory and applications of machine learning and artificial intelligence for renewable energy systems. Contributions focusing on renewable generation forecasting and optimization, fault detection, energy storage management, the control of distributed energy resources, microgrid optimization, cybersecurity and data management, and smart grid operation are particularly encouraged.
Prof. Dr. Ramiro Barbosa
Guest Editor
Manuscript Submission Information
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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.
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Keywords
- renewable and smart energy systems
- smart grids
- building energy management systems
- demand response
- energy forecasting
- artificial intelligence and machine learning
- evolutionary algorithms and metaheuristics
- multi-agent systems
- optimization
- cybersecurity
- predictive maintenance
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