Currently, I'm a researcher in the Bits to Energy Lab at ETH Zurich. In my current research, I develop machine learning techniques for energy applications to promote sustainability and for the digitalization of the power grid. 🔋🔌💡 For example, one area of focus for my work is analyzing data from smart electricity meters to optimize residential heat pumps in operation. For my research, I currently collaborate with multiple partners: Swiss Federal Office of Energy, Bosch, EKZ, Enerlytica, and Hoval.
General links:
- 👨💻 Personal Website
- 💻 Contact Details
- 📄 Google Scholar
- 🖇 ORCID
- 📽 Youtube - Science Slam (in German)
Links to some of my work:
| Publication | Paper | Code |
|---|---|---|
| Brudermueller, T., & Kreft, M. (2023). Smart Meter Data Analytics: Practical Use-Cases and Best Practices of Machine Learning Applications for Energy Data in the Residential Sector. Workshop Tackling Climate Change with Machine Learning, International Conference on Learning Representations (ICLR). | Link | Link |
| Brudermueller, T., Kreft, M., Fleisch, E., & Staake, T. (2023). Large-scale monitoring of residential heat pump cycling using smart meter data. Applied Energy, 350, 121734. | Link | Link |
| Brudermueller, T., Breer, F., & Staake, T. (2023). Disaggregation of Heat Pump Load Profiles From Low-Resolution Smart Meter Data. In Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys '23). Association for Computing Machinery, New York, NY, USA, 228–231. | Link | Link |
| Brudermueller, T., Wirth, F., Weigert, A., & Staake, T. (2022). Automatic differentiation of variable and fixed speed heat pumps with smart meter data. In 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (pp. 412-418). IEEE. | Link | Link |
| Brudermueller, T., Shung, D. L., Stanley, A. J., Stegmaier, J., & Krishnaswamy, S. (2020). Making logic learnable with neural networks. arXiv preprint arXiv:2002.03847. | Link | Link |
| Kreft, M., Brudermueller, T., Fleisch, E., & Staake, T. (2024). Predictability of electric vehicle charging: explaining extensive user behavior-specific heterogeneity. Applied Energy, 370, 123544. | Link | Link |