Special Issue "Artificial Intelligence in Renewable Energy System"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A8: Artificial Intelligence and Smart Energy".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Dr. Yahya Sheikhnejad
E-Mail Website
Guest Editor
Department of Mechanical Engineering & Centre for Mechanical Technology and Automation, University of Aveiro, 3810-193 Aveiro, Portugal
Interests: artificial intelligence; CFD; heat transfer; thermal simulation; energy management system
Prof. Dr. Nelson Martins
E-Mail Website1 Website2
Guest Editor
Department of Mechanical Engineering & Centre for Mechanical Technology and Automation, University of Aveiro, 3810-193 Aveiro, Portugal
Interests: Heat Transfer; Thermal Simulation; Energy Management System; Climetization
Special Issues, Collections and Topics in MDPI journals
Dr. Reza Hedayati
E-Mail Website1 Website2
Guest Editor
Aerospace Structures and Materials (ASM), Delft University of Technology, Postbus 5, 2600 AA Delft, The Netherland
Interests: mechanical properties; mechanical behavior of materials; mechanical testing; mechanics of materials; finite element analysis; materials testing; solid mechanics; finite element modeling; biomechanics; biomaterials
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid growth of artificial intelligence (AI) and the vital need for renewable energy (RE) can be recognized as the hottest topics of recent decades in which very fast developments have been recorded in the form of patents, articles, and textbooks. The stem of AI was soon divided into several branches and implemented in object recognition and pattern prediction, as well. In compliance with sustainable goals proposed by the UN, renewable energy systems (RES), including all solar, hydro-, wind, biomass, and geothermal powers, have also proved themselves as a promising remedy for the energy provision dilemma. They are recognized as available outstanding technologies nominated for substitution of limited fossil fuel resources in a vast literature. Tracking the latest publications in the pool of published knowledge, has revealed that a new state-of-the-art area has been formed in which these two advanced branches of technology have recently met each other.

Within this Special Issue, both academic and industrial researchers are kindly invited to contribute and address advanced technologies and theories as well as the most recent developments on the AI role in renewable energy systems. This hot area of science continues to grow in popularity, and the results of this outstanding challenge will shed light on the future trends and patterns of the most demanding type of energy. This Special Issue intends to facilitate identifying auspicious directions for prospective investigations that will construct the future of our world.


Dr. Yahya Sheikhnejad
Prof. Dr. Nelson Martins
Dr. Reza Hedayati
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 papers will be 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 2000 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 (AI)
  • Renewable Energy System
  • Machine learning
  • Energy Efficiency Enhancement
  • Energy Management System
  • System Performance Improvement

Published Papers

This special issue is now open for submission.
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