Applications of Intelligent Techniques in Modeling Clean Energy Technologies
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Resources and Sustainable Utilization".
Deadline for manuscript submissions: closed (21 November 2022) | Viewed by 5663
Special Issue Editors
2. MAPNA Group, Tehran 1915843613, Iran
Interests: renewable energies; artificial intelligence; nanofluid; heat transfer
Interests: design engineering; heat transfer; nanofluids; convection; thermal engineering; fluid mechanics
Special Issue Information
Dear Colleagues,
The Significance of clean energy development technologies has increased in recent years due to the emergence of environmental issues related to the utilization of fossil fuels. In this regard, considerable progress has been achieved in the development of various clean energy systems, including wind turbines, solar thermal, geothermal, etc. Depending on the type of energy source and utilized technology, different factors influence the performance of such systems. Due to the variety of parameters that play a role in the process and performance of clean energy technologies, the complexity of modeling such systems is usually high. Intelligent techniques such as artificial neural networks (ANNs) and support vector machines (SVMs) are powerful tools for the performance prediction and modeling of these systems. These techniques are applicable to various systems and subsystems used in clean energy technologies. In addition to the technical aspects, other aspects of clean energy technologies such as their environmental and economic impacts and requirements can be modeled and analyzed by employing intelligent techniques. The present Special Issue aims to gather high quality original and review articles that consider the utilization of intelligent techniques for modeling and predicting the performance of various clean energy technologies and tackling their problems. The main topics of interest for the present issue are as follows:
- Renewable energy systems, modeling, and optimization;
- Using intelligent techniques to predict weather data that is relevant to the performance of clean energy systems;
- Prediction of the emissions of clean energy technologies throughout their lifecycle by means of intelligent methods;
- Modeling and forecasting the properties of the materials with the potential to enhance the performance of clean energy technologies;
- Trend prediction of clean energy systems with respect to their environmental impact, market effects, utilization, etc.
Dr. Mohammad Alhuyi Nazari
Dr. Arman Haghighi
Dr. Ali Shahhoseini
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. Sustainability 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.
Keywords
- intelligent methods
- artificial neural network
- support vector machines
- regression
- clean energy
- solar systems
- wind turbines
- weather data
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.