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Chair of Computer Science III

Daniel Bayer M. Sc.

Phone (0931) 31-89632
Telefax  
E-Mail daniel.bayer@uni-wuerzburg.de
Room 01.019

Address

Lehrstuhl für Informatik III
Am Hubland
97074 Würzburg
Germany

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.

In particular, his research interests focus on the following topics:

  • data-driven or agent-based simulations, especially in the energy & building sector
  • data analysis of time series
  • multi-agent reinforcement learning
  • sustainable computing

 

Research projects

Recent Publications

2022[ to top ]
  • Bayer, D., Pruckner, M.: Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems. 2022 IEEE Conference on Technologies for Sustainability (SusTech). pp. 187–194 (2022).