International Conference on Mathematical Modeling of Energy Systems

ICMMESYS

10th Aug – 11th Aug 2026 Benin, Nigeria

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Registration Summary

Conference ICMMESYS

Date 10th Aug – 11th Aug 2026

Location Benin, Nigeria

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Mathematical Foundations of Energy Systems +

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.

SDG 7 SDG 9

02 Optimization Techniques in Energy Management +

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.

SDG 7 SDG 12

03 Simulation Models for Renewable Energy Systems +

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.

SDG 7 SDG 13

04 Control Strategies for Dynamic Energy Systems +

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.

SDG 9 SDG 11

05 Data Analytics in Energy Systems Modeling +

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.

SDG 9 SDG 12

06 Risk Analysis in Energy Systems +

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.

SDG 8 SDG 9

07 Complex Systems in Energy Networks +

This track will examine the mathematical modeling of complex systems within energy networks. Discussions will center on the interactions and dependencies that characterize these systems.

SDG 9 SDG 11

08 Environmental Impacts of Energy Systems +

This session will address the mathematical modeling of environmental impacts associated with various energy systems. It will focus on the integration of environmental data into energy system models.

SDG 13 SDG 15

09 Statistical Methods in Energy Research +

This track will highlight the application of statistical methods in the analysis and modeling of energy systems. Participants will share insights on how statistical tools can inform energy policy and decision-making.

SDG 9 SDG 12

10 Computational Techniques for Energy Modeling +

This session will explore computational methods and algorithms used in the modeling of energy systems. Emphasis will be placed on high-performance computing and its applications in large-scale simulations.

SDG 9 SDG 12

11 Engineering Applications of Mathematical Models +

This track will focus on the practical applications of mathematical models in engineering contexts related to energy systems. Case studies will illustrate the effectiveness of these models in solving real-world engineering challenges.

SDG 9 SDG 12