Thore Wietzke (M. Sc.)
Chair of Automatic Control
Research associates
Address
Cauerstraße 7-991058 Erlangen
Room: 03.027, Floor: 03
Contact
Research Interests
- Online Bayesian System Identification
- Energy Efficient HVAC Control
- Model Predictive Control and Reinforcement Learning
Biography
| since April 2022 | Research associate, Chair of automatic control, FAU Erlangen-Nuremberg |
| 2019 – 2022 | M.Sc. Electrical Engineering, FAU Erlangen-Nuremberg |
| 2015 – 2019 | B.Sc. Electrical Engineering, University of Applied Science Hamburg |
Publications
2025
- Herrmann-Wicklmayr, M., Wietzke, T., Graichen, K., & Flaßkamp, K. (2025). Considering multiple objectives in model predictive control for building energy systems. In Proceedings 33rd Mediterranean Conference on Control and Automation (MED 2025) (pp. 502-507). Tangier, Morocco, MA.
- Landgraf, D., Wietzke, T., & Graichen, K. (2025). Stochastic model predictive control with switched latent force models. European Journal of Control, 85, 101311. https://doi.org/10.1016/j.ejcon.2025.101366
- Wietzke, T., & Graichen, K. (2025). Physics-informed sparse Gaussian processes for model predictive control in building energy systems. In IFAC-PapersOnLine (pp. 43-48). Vienna (Austria).
- Wietzke, T., Landgraf, D., & Graichen, K. (2025). Application of stochastic model predictive control for building energy systems using latent force models. At-Automatisierungstechnik, 73(6), 441-450. https://doi.org/10.1515/auto-2024-0160
2024
- Wietzke, T., Gall, J., & Graichen, K. (2024). Occupancy Prediction for Building Energy Systems with Latent Force Models. Energy and Buildings, 113968. https://doi.org/10.1016/j.enbuild.2024.113968
Open theses
Current and Completed theses
- Various Topics in System Identification and Control for Building Energy Systems
- Berücksichtigung von Störeinflüssen in der Regelung von Gebäudeenergiesysteme (BA)
- Maximum A-Posteriorie Estimation and Control with Stochastic Model Predictive Control (MA)
- Advanced Control of a Magnetic Levitation System
- Comparison of Relevance Vector Regression and Gaussian Process Regression for System Identification
- Maximum A-Posteriori Parameter Estimation of Building Energy Systems (FP)
- Model-based Reinforcement Learning for Building Energy Systems (MA)
- Sensitivity-based online Parameter Estimation of Building Energy Systems (PA)
- Physics-informed Neural Networks for Building Energy Systems (MA)
- System Identification with Model Reference Adaptive System (PA)
- Online Parameter Estimation for Model Predictive Control in Building Energy Systems (MA)
- Prediction of Solar Irradiance for HVAC Control (BA)
- Lineare Regelung eines HVAC-Systems (BA)