Mathematical Modeling of Energy Transition, Climate Finance, and Sustainable Economic Systems

Dear Colleagues,

With progress toward achieving the Sustainable Development Goals (SDGs) being made and the number of global initiatives to combat climate change increasing, the need for robust mathematical frameworks to support the transition to sustainable economic systems has become clear. Mathematical modeling is vital for facilitating long-term planning for low-carbon growth, formulating energy policy, and structuring climate finance instruments.

This Special Issue aims to enhance applied mathematics by exploring its capacity to analyze and predict the complex financial, economic, and technological dynamics that underpin the energy transition and environmental sustainability. We invite proposals that tackle the difficulties at the convergence of sustainability, energy, and finance through the application of established techniques or the creation of fresh mathematical methodologies.

Research that combines advanced mathematical and statistical methodologies with insights from economics and finance is especially significant for this Special Issue. Topics of interest include, but are not limited to:

• Stochastic processes in renewable energy finance and carbon risk;
• Optimization and control models for sustainable energy systems;
• Mathematical modeling of ESG metrics and green financial instruments;
• Risk measures and pricing models for green bonds, carbon credits, and ESG derivatives;
• Dynamic systems modeling of circular economy and resource efficiency;
• Real options theory and decision-making under climate-related uncertainty;
• Game-theoretic approaches to global climate finance cooperation;
• Network and graph-based models of energy systems and systemic financial risk;
• Equilibrium and partial equilibrium models of energy markets and emissions trading;
• Machine learning and artificial intelligence applied to sustainability forecasting;
• Partial differential equations and numerical methods in environmental economics;
• Econometric modeling and panel data analysis in sustainable finance and energy policy;
• Time series models (e.g., ARIMA, GARCH, VAR) for carbon pricing and renewable energy forecasting.

Prof. Dr. Camelia Oprean-Stan
Guest Editor

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• mathematical finance
• energy transition
• climate risk
• sustainable finance
• carbon markets
• ESG modeling
• stochastic processes
• partial differential equations
• optimization
• network theory
• control systems
• game theory
• econometrics
• time series analysis