Numerical Simulation and Control in Energy Systems, 2nd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 5322
Special Issue Editor
Interests: integral equation and their applications; computational mathematics; dynamical systems; inverse problems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The modern development of science and technology prioritizes the design of mathematical models and methods for applications in the energy industry. This Special Issue aims to collect research papers reflecting the latest advances in the field of numerical simulation and control in power and energy systems. The range of scientific problems for the Special Issue includes current issues in the theory of mathematical modeling, identification, and control in technical energy systems. Topics of interest range from analytical and computational methods to algorithmic and applied solutions and aim to popularize new ideas, concepts, and methodologies in the description of complex energy systems. Potential topics include (but are not limited to) the following areas:
- Models taking into account the hierarchy of energy facilities;
- Methods of mathematical modeling, taking into account the new properties of equipment and the requirements of universality;
- Identification methods;
- The analysis and synthesis of control modes;
- Numerical simulation for control systems;
- Dynamic measurement methods for physical quantities;
- Complex problems of intelligent modeling and control systems in the energy sector.
High-quality research and surveys reflecting the current state of affairs are welcome. Particular attention should be paid to the practical application of research results.
Dr. Svetlana V. Solodusha
Guest Editor
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Keywords
- differential/partial differential equations
- integral equations
- dynamical systems
- numerical methods
- mathematical modeling
- artificial intelligence methods
- mathematical programming
- identification and modeling of control systems
- data processing
- application in power and energy systems
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