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International Conference on Mathematical Modeling of Energy Systems - (ICMMESYS-27)

15th - 16th April 2027 , Dublin - Ireland

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Call For Papers

The (ICMMESYS-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Applied Mathematics, Mathematical Modeling are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Mathematical modeling of renewable energy systems
  • Optimization techniques for energy management
  • Modeling energy consumption in buildings
  • Mathematical modeling of power generation systems
  • Applications of simulation in energy systems
  • Mathematical modeling of energy storage solutions
  • Impact assessment of energy policies
  • Mathematical modeling of smart grids
  • Modeling the integration of distributed energy resources
  • Mathematical modeling of energy efficiency measures
  • Applications of machine learning in energy systems
  • Mathematical modeling of fossil fuel systems
  • Optimization of energy supply chains
  • Mathematical modeling of carbon capture technologies
  • Modeling the economic impacts of energy transitions
  • Mathematical modeling of energy demand forecasting
  • Applications of data analytics in energy systems
  • Mathematical modeling of energy market dynamics
  • Impact of climate change on energy systems
  • Mathematical modeling of energy policy scenarios

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.