This track focuses on the theoretical underpinnings of mathematical models used in energy systems. It aims to explore the principles of applied mathematics that drive the development of these models.

This session will delve into optimization methodologies applicable to energy systems, including linear and nonlinear programming. Participants will discuss innovative approaches to enhance efficiency and sustainability in energy management.

This track emphasizes the use of simulation techniques to analyze and predict the performance of renewable energy systems. It will cover various modeling approaches and their implications for energy policy and planning.

This session will investigate advanced control strategies for managing the dynamics of energy systems. Topics will include feedback control, predictive control, and their applications in real-time energy management.

This track will explore the role of data analytics in enhancing the accuracy and reliability of energy systems models. Participants will discuss methodologies for integrating large datasets into mathematical frameworks.

This session will focus on quantitative risk assessment methods applied to energy systems. It aims to highlight the importance of probabilistic modeling in understanding uncertainties and their impact on energy planning.