Stefan Meisenbacher, M.Sc.

Stefan Meisenbacher, M.Sc.

  • Hermann-von-Helmholtz-Platz 1
    76344 Eggenstein-Leopoldshafen

Publikationen


2023
A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain
Galenzowski, J.; Waczowicz, S.; Meisenbacher, S.; Mikut, R.; Hagenmeyer, V.
2023. BuildSys ’23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 434–441, Association for Computing Machinery (ACM). doi:10.1145/3600100.3626347
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation
Phipps, K.; Meisenbacher, S.; Heidrich, B.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2023. Proceedings of the 14th ACM International Conference on Future Energy Systems, 271–286, Association for Computing Machinery (ACM). doi:10.1145/3575813.3595204
Automating day-ahead forecasting of photovoltaic power generation: Model design, monitoring, and adaption
Meisenbacher, S.; Martin, T.; Heidrich, B.; Mikut, R.; Hagenmeyer, V.
2023. ETG Congress 2023, Kassel, Germany, 25-26 May 2023, 83–90, VDE Verlag
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models
Meisenbacher, S.; Heidrich, B.; Martin, T.; Mikut, R.; Hagenmeyer, V.
2023. Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy 2023), 386–414, Association for Computing Machinery (ACM). doi:10.1145/3575813.3597348
Automating the design and operation of day-ahead photovoltaic power generation forecasts with AutoPV
Meisenbacher, S.; Mikut, R.; Heidrich, B.; Martin, T.; Hagenmeyer, V.
2023. Helmholtz Energy Conference (2023), Koblenz, Deutschland, 12.–13. Juni 2023
Non-Sequential Machine Learning Pipelines with pyWATTS
Heidrich, B.; Phipps, K.; Meisenbacher, S.; Turowski, M.; Neumann, O.; Mikut, R.; Hagenmeyer, V.
2023. Zenodo. doi:10.5281/zenodo.7740850
2022
Multi-Zone Grey-Box Thermal Building Identification with Real Occupants
Frahm, M.; Meisenbacher, S.; Klumpp, E.; Mikut, R.; Matthes, J.; Hagenmeyer, V.
2022. Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, Boston, MA, USA, 09.11.2022-10.11.2022. Ed.: J. Ortiz, 484–487, Association for Computing Machinery (ACM). doi:10.1145/3563357.3567403
Review of automated time series forecasting pipelines
Meisenbacher, S.; Turowski, M.; Phipps, K.; Rätz, M.; Müller, D.; Hagenmeyer, V.; Mikut, R.
2022. WIREs Data Mining and Knowledge Discovery, 12 (6), Art.Nr. e1475. doi:10.1002/widm.1475
Automated machine learning for time series forecasting in smart grid applications
Meisenbacher, S.
2022, Juli 14. Jahrestagung des KIT-Zentrums Energie (2022), Karlsruhe, Deutschland, 14.–15. Juli 2022
Automating Time Series Analysis Workflows with pyWATTS
Heidrich, B.; Phipps, K.; Neumann, O.; Meisenbacher, S.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2022, Juni. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2022), Dresden, Deutschland, 2.–3. Juni 2022
Review of automated time series forecasting pipelines
Meisenbacher, S.; Turowski, M.; Phipps, K.; Rätz, M.; Hagenmeyer, V.; Müller, D.; Mikut, R.
2022. Karlsruher Institut für Technologie (KIT). doi:10.48550/arXiv.2202.01712
Development and Validation of Grey-Box Multi-Zone Thermal Building Models
Frahm, M.; Klumpp, E.; Meisenbacher, S.; Matthes, J.; Mikut, R.; Hagenmeyer, V.
2022. Proceedings of BauSim Conference 2022 : 9th Conference of IBPSA-Germany and Austria, 20-22 September 2022, Bauhaus Universität Weimar. C. Völker, 346–351, International Building Performance Simulation Association (IBPSA). doi:10.26868/29761662.2022.22
2021
A Lightweight User Interface for Smart Charging of Electric Vehicles: A Real-World Application
Meisenbacher, S.; Schwenk, K.; Galenzowski, J.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2021. 2021 9th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 57–61, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSGCE52779.2021.9621604
Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface – A Real-World Application in the Energy Lab 2.0: Poster
Meisenbacher, S.; Schwenk, K.; Galenzowski, J.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2021. e-Energy ’21: The Twelfth ACM International Conference on Future Energy Systems Virtual Event Italy 28 June 2021- 2 July 2021, 284–285, Association for Computing Machinery (ACM). doi:10.1145/3447555.3466571
Concepts for Automated Machine Learning in Smart Grid Applications
Meisenbacher, S.; Pinter, J.; Martin, T.; Hagenmeyer, V.; Mikut, R.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 11–35, KIT Scientific Publishing
Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles
Schwenk, K.; Meisenbacher, S.; Briegel, B.; Harr, T.; Hagenmeyer, V.; Mikut, R.
2021. IEEE transactions on smart grid, 12 (6), 5135–5145. doi:10.1109/TSG.2021.3099206
pyWATTS: Python Workflow Automation Tool for Time Series
Heidrich, B.; Bartschat, A.; Turowski, M.; Neumann, O.; Phipps, K.; Meisenbacher, S.; Schmieder, K.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2021. Cornell University