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Computer Science XI - Modeling and Simulation

Daniel Bayer

Phone (0931) 31-89632
Room 01.019 (Building M4)


Lehrstuhl für Informatik XI
Am Hubland
97074 Würzburg

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Research Interests

Daniel Bayer works as a research assistant at the Chair of Computer Science (Modelling and Simulation). He first studied mathematics with a Bachelor of Science degree, then computer science at the Friedrich-Alexander-Universität Erlangen-Nürnberg.
His work focuses on the research project of DigiSWM. Here, one of the central goals is to combine extensive energy data with AI methods to simulate and evaluate new energy services.

His research interests include digital twins and data-driven simulations of local energy systems, including the building sector, to ensure long-term sustainable and climate-neutral energy supply through the optimal dimensioning and control of heating and energy supply systems. He also deals with the topics of multi-agent reinforcement learning and sustainable computing.

Research projects

Recent Publications

2023[ to top ]
  • Modeling of Annual and Daily Electricity Demand of Retrofitted Heat Pumps based on Gas Smart Meter Data. Bayer, Daniel R.; Pruckner, Marco. In Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, of BuildSys ’23. ACM, 2023.
  • A digital twin of a local energy system based on real smart meter data. Bayer, Daniel; Pruckner, Marco. In Energy Informatics, 6(1). Springer Science and Business Media {LLC}, 2023.
2022[ to top ]
  • Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems. Bayer, Daniel; Pruckner, Marco. In 2022 IEEE Conference on Technologies for Sustainability (SusTech), pp. 187–194. 2022.