Simulation, Optimization and Intelligent Control of Energy System
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".
Deadline for manuscript submissions: 13 November 2024 | Viewed by 6407
Special Issue Editors
Interests: simulation, control, optimization, and performance prediction of energy system; digital twin
Special Issue Information
Dear Colleagues,
The Guest Editor is inviting submissions to a Special Issue of Energies on the subject area of “Simulation, Optimization and Intelligent Control of Energy System”.
The uncertainty of advanced energy system affects the performance of system design, operation and control. Simulation, optimization and intelligent control of energy system are able to provide excellent abilities that reveal the intrinsic essential characteristics and the coupling characteristics, make the performance evaluation more efficient and accurate, improve the economics and reduce the environmental impact of our energy technologies. and manage the whole life cycle of energy system.
There have been many emerging techniques for energy systems in recent years. Moreover, the digital twins and artificial Intelligence (AI) are also interesting topics for power and energy researchers.
This Special Issue is focused on to bring together innovative developments and synergies in the fields of Simulation, Optimization and Intelligent Control of Energy System.
Potential topics include, but are not limited to:
- Real-time dynamic data-driven simulation;
- Multi⁃energy system flow modeling and simulation technology for integrated energy system;
- High performance simulation and digital twin of energy system;
- Application of AI for simulation, optimization and control of Energy System;
- Techno-economic optimazation of energy system;
- Unified modeling and simulation of integrated energy system;
- Combination with reinforcement learning;
- intelligent simulation optimization and scheduling in energy system;
- thermodynamic modelling, analysis and optimization of numerous types of energy systems in various applications;
- Optimal Dispatching and Operation Simulation of Virtual Power Plant;
- Machine learning in energy systems.
Prof. Dr. Chen Yang
Dr. Zhenzhong Li
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
- energy system
- modeling and simulation
- optimization techniques
- intelligent control techniques
- digital twin technology
- artificial intelligence technology
- virtual power plant
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