Energy days 2026

Network Modelling: Grid Utilization Efficiency and Risk Management Sharing and Optimization


November 5-7, 2026


Goals

Amid ongoing geopolitical uncertainty, increasing pressure on energy security, and the accelerating transition towards low-carbon systems, the efficient utilization and resilient operation of energy networks have become key priorities. Existing infrastructures are being pushed to their limits, while new demands arise from the integration of renewable sources, electrification, and decentralized energy resources.

Under the theme “Network Modelling: Grid Utilization Efficiency and Risk Management, Sharing and Optimization”, this year’s Energy Days workshop highlights the crucial role of mathematical modelling, statistical methods, and computational approaches in addressing these challenges. Building on a strong tradition of collaboration between mathematicians, statisticians, and engineers, the workshop creates a space where theoretical advances meet practical needs of the energy sector.

The workshop provides a platform for researchers, industry representatives, and practitioners to exchange insights on current challenges and innovative solutions in the modelling and operation of complex energy systems. Particular attention is given to methods that enable more efficient use of grid capacity, support energy sharing mechanisms, and improve risk assessment and decision-making under uncertainty.

The event traditionally hosts invited speakers from abroad, bringing diverse perspectives and fostering international exchange of knowledge and experience.

Key topics include, but are not limited to:

  • Mathematical and statistical methods for modelling complex energy networks
  • Efficient utilization of transmission and distribution systems
  • Grid capacity sharing, congestion management, and flexibility integration
  • Risk assessment, uncertainty quantification, and resilience of interconnected systems
  • Optimization techniques for planning and real-time operation
  • Data-driven and hybrid modelling approaches

The workshop aims to foster dialogue between academia and industry, support knowledge transfer, and contribute to the development of robust and efficient energy infrastructures.

A round table discussion with introductory talks by leading representatives of the Czech energy sector, together with invited European experts, will form an integral part of the programme. The discussion will be held in both Czech and English, with interpretation provided.

The expected outcome of the workshop is the exchange of up-to-date knowledge between research and practice, as well as the identification of new research directions reflecting the evolving needs of the energy sector.


Venue

Charles University, Faculty of Mathematics and Physics, Malostranské nám. 25, Prague 1 (November 5)

Czech Statistical Office, Na padesátém 81, Prague 10 (November 6)

Czech Cultural Institute, Nekázanka 16, Prague 1 (November 7, evening program)

Czech Technical University, Faculty of Mechanical Engineering, Karlovo nám. 13, Prague 2, building D (November 7)


Program

November 5th at historical building of Faculty of Mathematics and Physics, Charles University in Prague

Statistical Modelling and Optimization workshop opening, Round table discussion

November 6th at Czech Statistical Office

Energy day 2026, the main programme

November 7th at Czech Cultural Institute

Discussion and cultural program

November 8nd at Czech Technical University in Prague

Modelling, Optimization and Detection, Round table discussion


Organisers

The workshop and round table are supported by the Czech Academy of Sciences within the framework of the research program Strategie AV21, Czech Technical University in Prague, Charles University in Prague, Czech Statistical Office, Czech Statistical Society, and Slovak Statistical and Demographic Society.

Scientific program committee:

Organizing committee:

Martina Litschmanová
Technical University Ostrava

Ondřej Vozár
Czech Statistical Office

Lenka Dohnalová, Karolina Pappi

contact email:
info@energy-workshop.cz



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