International Conference on Mathematical Modeling of Energy and Infrastructure Systems

ICMMEIS

17th Jun – 18th Jun 2027 Vina Del Mar, Chile

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Registration Summary

Conference ICMMEIS

Date 17th Jun – 18th Jun 2027

Location Vina Del Mar, Chile

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Total Payable 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 Modeling in Energy Systems +

This track focuses on the development and application of mathematical models to analyze and optimize energy systems. Contributions that address renewable energy integration, grid stability, and energy efficiency are particularly encouraged.

SDG 7 SDG 9 SDG 13

02 Statistical Methods for Infrastructure Analysis +

This session will explore advanced statistical techniques used in the assessment and enhancement of infrastructure systems. Papers that demonstrate the application of these methods to real-world infrastructure challenges are welcome.

SDG 9 SDG 11

03 Simulation Techniques in Energy and Infrastructure +

This track emphasizes the role of simulation in understanding complex energy and infrastructure systems. Submissions should focus on innovative simulation methodologies and their practical applications in various sectors.

SDG 7 SDG 9 SDG 11

04 Optimization Strategies for Sustainable Systems +

This session invites contributions that present optimization techniques aimed at enhancing the sustainability of energy and infrastructure systems. Papers should highlight the balance between efficiency, cost-effectiveness, and environmental impact.

SDG 7 SDG 12 SDG 13

05 Risk Analysis in Energy and Infrastructure Projects +

This track addresses the importance of risk analysis in the planning and execution of energy and infrastructure projects. Contributions that utilize quantitative methods to assess and mitigate risks are highly encouraged.

SDG 9 SDG 11 SDG 13

06 Computational Methods in Mathematical Modeling +

This session focuses on the development and application of computational methods in mathematical modeling for energy and infrastructure systems. Papers should showcase innovative algorithms and their effectiveness in solving complex problems.

SDG 9 SDG 12 SDG 13

07 Data Science Applications in Energy Systems +

This track explores the integration of data science techniques in the analysis and optimization of energy systems. Submissions that highlight the use of big data analytics and machine learning in energy management are particularly welcome.

SDG 7 SDG 9 SDG 13

08 Machine Learning for Infrastructure Optimization +

This session invites papers that investigate the application of machine learning algorithms to optimize infrastructure systems. Contributions should demonstrate how these techniques can improve decision-making and operational efficiency.

SDG 9 SDG 11 SDG 12

09 Climate Studies and Their Impact on Energy Systems +

This track examines the interplay between climate studies and energy systems modeling. Papers should focus on how climate data can inform energy policy and infrastructure planning.

SDG 13 SDG 15 SDG 17

10 Quantitative Methods in Operations Research +

This session highlights the use of quantitative methods in operations research related to energy and infrastructure systems. Contributions that provide novel insights into decision-making processes are encouraged.

SDG 9 SDG 11 SDG 12

11 Forecasting Techniques for Energy Demand +

This track focuses on forecasting methodologies for predicting energy demand in various contexts. Papers should address innovative approaches that enhance the accuracy and reliability of energy demand forecasts.

SDG 7 SDG 9 SDG 13