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Intelligent Systems and Renewable/Sustainable Energy

This special issue belongs to the section “Energy Science and Technology“.

Special Issue Information

Dear Colleagues,

According to the European Green Deal and the European Climate Law, the European Commission has proposed to reduce greenhouse gas emissions by 55 percent by 2030 and reach zero emissions by 2050. In addition, human development requires a significant amount of energy, especially in the era of Industry 4.0. Energy demand is increasing in response to the growing number of problems related to environmental degradation and the energy crisis. However, the energy on our planet is finite and limited. Therefore, the production and application of renewable/sustainable energy are particularly important.

Renewable/sustainable energy will be an essential component of energy production and consumption in coming years, as more and more emphasis is placed on carbon neutrality. The share of renewable/sustainable energy in the world's energy supply is increasing, which is good for both the environment and sustainable development. Figuring out how to use evolving technology to intelligent energy systems that reduce energy consumption and protect the environment is critical. In particular, big data and deep learning strategies are especially trusted options for optimizing and monitoring energy consumption. For this reason, this Special Issue focuses on applied science alongside smart systems and sustainable energy to bring together the research achievements of researchers from academia and industry. Topics of interest include, but are not limited to, the following:

  • Optimization and forecasting of renewable/sustainable energy resources;
  • Innovations in smart grids and microgrids;
  • Emerging renewable/sustainable energy techniques;
  • Impacts of the renewable/sustainable energy techniques in environments;
  • Automated guided vehicle techniques in renewable/sustainable power systems;
  • Smart and intelligent grids for renewable and sustainable energy;
  • Energy applicability in power quality, grid stability, and renewable and sustainable flexibility;
  • AI/DL/ML applications in renewable/sustainable energy management systems.

Prof. Dr. Jerry Chun Wei Lin|
Dr. Chunwei Tian
Prof. Marcin Fojcik
Prof. Dr. Rafał Cupek
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 250 words) can be sent to the Editorial Office for assessment.

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. Applied Sciences 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 2400 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.

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Appl. Sci. - ISSN 2076-3417