This track focuses on the development and application of mathematical models that facilitate the integration of renewable energy sources into existing power systems. Participants will explore innovative modeling techniques that address challenges related to variability and reliability in renewable energy generation.

This session will delve into optimization methods applied to energy systems, emphasizing grid optimization and resource allocation. Researchers are invited to present novel algorithms and quantitative approaches that enhance the efficiency and sustainability of energy systems.

This track highlights the role of simulation methodologies in understanding the dynamics of energy transitions. Contributions will focus on computational models that simulate various scenarios of energy policy and their impacts on sustainable systems.

This session aims to explore the application of system dynamics in modeling energy policies and their long-term effects on climate change. Participants will discuss frameworks that capture the complex interactions between energy consumption, policy decisions, and environmental outcomes.

This track invites papers that utilize applied mathematics to address the challenges posed by climate change. Researchers will present models that quantify the impacts of various mitigation strategies on energy systems and sustainability.

This session will focus on quantitative methodologies for assessing risks associated with energy systems and transitions. Contributions should highlight statistical techniques and models that evaluate uncertainties and their implications for energy policy.