Advances of Modeling Methods in Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".
Deadline for manuscript submissions: closed (28 September 2023) | Viewed by 6450
Special Issue Editors
Interests: dynamics of rotating machinery; prognostics of energy and power systems
Interests: machine learning; smart energy systems; optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Diverse energy and power systems have been playing a significantly critical role in the revolution of sustainable energy supply for the future, such as gas turbines, wind turbines, photovoltaic panels, building heating, ventilation and air-conditioning (HVAC) systems, etc., which have a great impact on energy resources and efficiencies. Due to the emerging artificial intelligence, traditional modeling techniques in these energy systems have met challenges in still leveraging physics model- and/or first principle-based approaches, and opportunities in incorporating data-driven and/or machine learning methods. Moreover, with the rapid development of hardware and computing techniques, new modeling approaches for energy systems have become more and more important for system design, integration, analysis, control, and management.
This Special Issue aims to present and disseminate the most recent advances related to modeling theory, approaches, and applications of energy systems.
Topic of interests for publication include but are not limited to:
- New modeling theory and fundamentals for energy systems;
- Modeling methods, design, and analysis for energy systems;
- New physics- and/or first principle-based modeling approaches of energy systems;
- Data-driven and/or machine learning approaches of energy systems;
- Modeling techniques for smart energy systems;
- Modeling approaches for different applications, such as prediction, fault detection and diagnosis, control, manufacturing, etc., in energy systems;
- Identification of key challenges and opportunities for future research of modeling methods in energy systems.
Dr. Chao Liu
Dr. Zhanhong Jiang
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.
Keywords
- modeling, design, and analysis
- machine learning
- prediction, forecasting, and prognostics
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