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ComForEn 2024

Scope

Artificial intelligence has been making fast progress since the breakthrough of large language models and the digitalisation of energy systems has not remained uneffected by these advances. Applications of machine learning and artificial intelligence technologies are not new in the energy domain. However, enhanced possibilities and improved computational performance have opened new fields of applications.

The ComForEn symposium brings together component and system manufacturers, power grid operators, energy suppliers, and research institutions.

The OVE Austrian Electrotechnical Association, supported by AIT Austrian Institute of Technology and TU Wien, invite experts from academia and industry to discuss new opportunities, insights, and challenges of contemporary artificial intelligence solutions for the energy system.

This year, we co-host the conference altogether with the Open Source Modelling and Simulation of Energy Systems (OSMSES) 2024.

Topics

The main topics of ComForEn 2024 will be (not exclusively):

  • Theory Guided Data Science for power systems
  • Advanced forecasting models for demand and supply
  • Predictive Maintenance of energy assets
  • Better and faster AI-based modelling of energy systems, system components, and applications
  • AI-assisted automation and orchestration
  • Anomaly detection
  • Advanced data analytics and the application of data science in energy systems
  • High-performance computing and challenges in computational efforts

Organizing Committee

Friederich Kupzog (AIT Austrian Institute of Technology, Austria) 

Mark Stefan (AIT Austrian Institute of Technology, Austria) 

Jochen Cremer (TU Delft, Netherlands & AIT Austrian Institute of Technology, Austria)

Stefan Wilker (Technische Universität Wien, Austria) 

Carina Schöfl (Technische Universität Wien, Austria) 

Roman Eichinger (OVE Austrian Electrotechnical Association, Austria)  

Christian Gasser (OVE Austrian Electrotechnical Association, Austria)