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Marian Turowski
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Review of automated time series forecasting pipelines
S Meisenbacher, M Turowski, K Phipps, M Rätz, D Müller, V Hagenmeyer, ...
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (6 …, 2022
382022
Vertical Scaling Capability of OpenStack: Survey of Guest Operating Systems, Hypervisors, and the Cloud Management Platform
M Turowski, A Lenk
Service-Oriented Computing-ICSOC 2014 Workshops: WESOA; SeMaPS, RMSOC, KASA …, 2015
272015
Data-Driven Copy-Paste Imputation for Energy Time Series
M Weber, M Turowski, HK Çakmak, R Mikut, U Kühnapfel, V Hagenmeyer
IEEE Transactions on Smart Grid 12 (6), 5409-5419, 2021
242021
pyWATTS: Python workflow automation tool for time series
B Heidrich, A Bartschat, M Turowski, O Neumann, K Phipps, ...
arXiv preprint arXiv:2106.10157, 2021
232021
Forecasting energy time series with profile neural networks
B Heidrich, M Turowski, N Ludwig, R Mikut, V Hagenmeyer
Proceedings of the Elventh ACM International Conference on Future Energy …, 2020
182020
Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks
B Heidrich, M Turowski, K Phipps, K Schmieder, W Süß, R Mikut, ...
Applied Intelligence 53 (8), 8826-8843, 2023
122023
Modeling and generating synthetic anomalies for energy and power time series
M Turowski, M Weber, O Neumann, B Heidrich, K Phipps, HK Çakmak, ...
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
102022
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
M Quintana, T Stoeckmann, JY Park, M Turowski, V Hagenmeyer, C Miller
Energy and Buildings 265, 112096, 2022
72022
Point and contextual anomaly detection in building load profiles of a university campus
L Wang, M Turowski, M Zhang, T Riedel, M Beigl, R Mikut, V Hagenmeyer
2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 11-15, 2020
72020
Enhancing anomaly detection methods for energy time series using latent space data representations
M Turowski, B Heidrich, K Phipps, K Schmieder, O Neumann, R Mikut, ...
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
62022
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information
B Heidrich, K Phipps, O Neumann, M Turowski, R Mikut, V Hagenmeyer
arXiv preprint arXiv:2302.02597, 2023
42023
Boost short-term load forecasts with synthetic data from transferred latent space information
B Heidrich, L Mannsperger, M Turowski, K Phipps, B Schäfer, R Mikut, ...
Energy Informatics 5 (Suppl 1), 20, 2022
32022
Using weather data in energy time series forecasting: the benefit of input data transformations
O Neumann, M Turowski, R Mikut, V Hagenmeyer, N Ludwig
Energy Informatics 6 (1), 44, 2023
22023
Creating probabilistic forecasts from arbitrary deterministic forecasts using conditional invertible neural networks
K Phipps, B Heidrich, M Turowski, M Wittig, R Mikut, V Hagenmeyer
arXiv preprint arXiv:2302.01800, 2023
22023
Adaptively coping with concept drifts in energy time series forecasting using profiles
B Heidrich, N Ludwig, M Turowski, R Mikut, V Hagenmeyer
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
22022
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
O Neumann, N Ludwig, M Turowski, B Heidrich, V Hagenmeyer, R Mikut
Proceedings - 31. Workshop Computational Intelligence: Berlin, 25. - 26 …, 2021
22021
Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network
K Phipps, B Heidrich, M Turowski, M Wittig, R Mikut, V Hagenmeyer
Applied Intelligence, 1-29, 2024
12024
Managing Anomalies in Energy Time Series for Automated Forecasting
M Turowski, O Neumann, L Mannsperger, K Kraus, K Layer, R Mikut, ...
Energy Informatics Academy Conference, 3-29, 2023
12023
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation
K Phipps, S Meisenbacher, B Heidrich, M Turowski, R Mikut, ...
Proceedings of the 14th ACM International Conference on Future Energy …, 2023
12023
Data-Driven Methods for Managing Anomalies in Energy Time Series
M Turowski
12023
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