Intelligent Systems and Renewable/Sustainable Energy
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 6773
Special Issue Editors
Interests: AI/DL/ML; big data analytics; optimization; IoTs; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Interests: image restoration; image recognition and deep learning
Interests: communication system; welfare technology; production systems; sustainable development
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
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