Modeling, Optimization, and Control of Energy Systems
Topic Information
Dear Colleagues,
Modeling, optimization, and control play a crucial role in the design, operation, and performance of energy systems whether they are static or transportation energy systems, or conventional or renewable energy systems. We would like to invite submissions to this Topic to collect the latest developments and applications in these interdisciplinary fields and to provide a common framework for authors from different research areas. The Topics of interest for publication include but are not limited to the following:
- Fossil energy systems
- Renewable energy systems
- Conventional fuels for transportation
- Renewable fuels
- Machine learning applications in energy
- Optimizing for efficiency, cost, and other performance
- Optimizing water requirements
- Sensor placement optimization
- Environmental control modeling and optimization
- Control for performance
- Control for emissions
Prof. Dr. Urmila Diwekar
Prof. Dr. Debangsu Bhattacharyya
Topic Editors
Keywords
- modeling
- optimization
- control
- machine learning
- renewable energy
- fossil energy
- environmental control
Participating Journals
1,152 Articles
Launched in 2020
6.5Impact Factor
7.3CiteScore
20 DaysSubmission to First Decision
6 DaysAcceptance to Publication
Q1Highest JCR Category Ranking
65,508 Articles
Launched in 2008
3.9Impact Factor
8.3CiteScore
17 DaysSubmission to First Decision
4 DaysAcceptance to Publication
Q3Highest JCR Category Ranking
29,535 Articles
Launched in 2013
2.3Impact Factor
5.4CiteScore
17 DaysSubmission to First Decision
3 DaysAcceptance to Publication
Q1Highest JCR Category Ranking
22,370 Articles
Launched in 2013
3.4Impact Factor
5.7CiteScore
15 DaysSubmission to First Decision
3 DaysAcceptance to Publication
Q3Highest JCR Category Ranking
111,163 Articles
Launched in 2009
4.1Impact Factor
8.9CiteScore
17 DaysSubmission to First Decision
4 DaysAcceptance to Publication
Q2Highest JCR Category Ranking
Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.
MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:
i. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
ii. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
iii. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
iv. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
v. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.