Sustainable and Intelligent Energy Systems and Processes: Recent Advances and Challenges (2nd Edition)

Dear Colleagues,

This is the second edition of the Special Issue entitled "Sustainable and Intelligent Energy Systems and Processes: Recent Advances and Challenges". In the first edition, we published 13 articles. It was very successful. You are welcome to read the published papers here: https://www.mdpi.com/journal/processes/special_issues/P7PQ04XN6X

The past few decades have seen a significant rise in investments in clean, renewable, and sustainable energy technologies as a result of concern about current and emerging environmental issues and dangers, the depletion of fossil fuel supplies, and the rapidly escalating global energy demand. In addition, the topic of reliability and resilience has drawn a lot of attention recently in an effort to lessen the community's vulnerability to temporary power outages or total collapse of the main grid brought on by natural disasters, wars, technical issues, physical and cyberattacks, etc. Hence, policymakers have prioritized developing new action plans to address these concerns, including the use of renewable energy and improving energy conversion efficiency and management. Although it is often challenging to put these new action plans into practice due to issues with technology, the economy or society, process systems engineers continuously strive to enhance systems of all types, from large industrial to small household ones.

Future energy systems are expected to include many different types of energy storage technology and renewable sources of energy. The availability of renewable resources, in particular, has a significant impact on the economic growth potential. However, despite the fact that they can help with energy issues, the challenges associated with managing, controlling, and monitoring renewable energy sources prevent them from being fully integrated into power systems. The use of sophisticated control algorithms, such as those based on machine learning, artificial intelligence or cloud computing, can help solve these problems.

Original research papers, reviews, case studies, and technical notes relevant to the scope of this Special Issue include, but are not limited to, the following topics:

• Integration of renewable energy sources;
• Solar and wind energy technology and applications;
• Hybrid renewable energy systems;
• Grid stability;
• Power quality in microgrids;
• Power electronics in renewable energy systems and smart grids;
• Modeling of energy systems and processes;
• Policy issues related to sustainability;
• Energy conversion and storage technologies;
• System reliability and resilience;
• Techno-economic and energy/exergy analyses;
• Edge computing in smart grid and other applications;
• Artificial intelligence applications in smart grids;
• Increasing energy efficiency in industrial motor drives.

Prof. Dr. Mateo Bašić
Dr. Marko Vekić
Dr. Ivan Grgić
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.

Prof. Dr. Mateo Bašić
Dr. Marko Vekić
Dr. Ivan Grgić
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.

• sustainability
• intelligent control
• renewable energy
• reliability and resilience
• smart grid
• energy storage
• edge computing
• FACTS
• power quality