Marian Turowski, M.Sc.

  • Karlsruhe Institute of Technology (KIT)
    Institute for Automation and Applied Informatics (IAI)

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

    Fax: +49 721 608 22602
    Building-No.: 445 / 449 / 668


Smart Data Representations: Impact on the Accuracy of Deep Neural Networks.
Neumann, O.; Turowski, M.; Ludwig, N.; Heidrich, B.; Hagenmeyer, V.; Mikut, R.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 113–130, KIT Scientific Publishing
Data-Driven Copy-Paste Imputation for Energy Time Series.
Weber, M.; Turowski, M.; Çakmak, H. K.; Mikut, R.; Kühnapfel, U.; Hagenmeyer, V.
2021. IEEE transactions on smart grid, 12 (6), 5409–5419. doi:10.1109/TSG.2021.3101831
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
Point and contextual anomaly detection in building load profiles of a university campus.
Wang, L.; Turowski, M.; Zhang, M.; Riedel, T.; Beigl, M.; Mikut, R.; Hagenmeyer, V.
2020. 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 11–15, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248792
Forecasting energy time series with profile neural networks.
Heidrich, B.; Turowski, M.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2020. e-Energy ’20: The Eleventh ACM International Conference on Future Energy Systems, Virtual Event, Australia, June, 2020, 220–230, Association for Computing Machinery (ACM). doi:10.1145/3396851.3397683
Coping with Concept Drifts in Load Forecasting using Machine Learning.
Heidrich, B.; Turowski, M.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2020, March 5. Helmholtz AI Kick-Off Meeting (2020), Munich, Germany, March 4–5, 2020