New Results on Mathematical Methods–Models and Their Applications to Energy Systems

Dear Colleagues,

Energy systems have different areas of interdisciplinary research, bringing together mathematicians, physicists, and engineers. In energy systems, precise mathematical models and algorithms are needed for a good match between reality and theory. The aim of this Topic is to consider and publish original research articles covering the new results and developments in mathematical methods (such as optimization, control systems, model theory, analysis, computational techniques, fuzzy logic, representation theory, linear problems, ordinary and partial differential equations, etc.) applied to energy systems. Using these models and methods, energy systems are analyzed–designed to be reliable, efficient, flexible, and sustainable for real-life industry and science. Furthermore, the use of optimization algorithms in finding the optimal performance of energy systems is an interesting topic of discussion for researchers in the field of energy systems. This Topic will focus on various problems in these fields for mathematicians, engineers, physicians, and so on through comprehensive considerations. The topics of this Topic on applied sciences include but are not limited to the following:

• Linear and nonlinear dynamics
• Algorithms
• Markov decision process and Monte Carlo theory
• Optimization and control theory
• Game theory
• Econometric analysis
• Statistics
• Functional analysis and its applications
• Mathematical biology
• Mathematical physics
• Engineering applications of mathematics
• Industrial applications of mathematical models 
• Energy systems modeling
• Fractional calculus and its applications
• Numerical analysis
• Simulation
• Neural network
• Artificial intelligence in energy systems
• Mathematical biology
• Stability analysis of systems

Dr. Mohammad Hossein Ahmadi
Dr. Ozen Ozer
Topic Editors