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ORCIDMarian Turowski
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2020 – today
- 2024
[j6]Kaleb Phipps
, Benedikt Heidrich, Marian Turowski, Moritz Wittig, Ralf Mikut, Veit Hagenmeyer:
Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network. Appl. Intell. 54(8): 6354-6382 (2024)- 2023
- [b1]Marian Turowski:
Data-Driven Methods for Managing Anomalies in Energy Time Series. Karlsruhe Institute of Technology, Germany, 2023 - [j5]Benedikt Heidrich, Marian Turowski, Kaleb Phipps, Kai Schmieder, Wolfgang Süß, Ralf Mikut, Veit Hagenmeyer:
Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks. Appl. Intell. 53(8): 8826-8843 (2023) - [j4]Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig:
Using weather data in energy time series forecasting: the benefit of input data transformations. Energy Inform. 6(1): 44 (2023) - [c8]Kaleb Phipps, Stefan Meisenbacher, Benedikt Heidrich, Marian Turowski, Ralf Mikut, Veit Hagenmeyer:
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation. e-Energy 2023: 271-286 - [c7]Marian Turowski, Oliver Neumann, Lisa Mannsperger, Kristof Kraus, Kira Layer, Ralf Mikut, Veit Hagenmeyer:
Managing Anomalies in Energy Time Series for Automated Forecasting. EI.A 2023: 3-29 - [i7]Kaleb Phipps, Benedikt Heidrich, Marian Turowski, Moritz Wittig, Ralf Mikut, Veit Hagenmeyer:
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks. CoRR abs/2302.01800 (2023) - [i6]Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer:
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information. CoRR abs/2302.02597 (2023) - 2022
- [j3]Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer:
Boost short-term load forecasts with synthetic data from transferred latent space information. Energy Inform. 5 (2022) - [j2]Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut:
Review of automated time series forecasting pipelines. WIREs Data Mining Knowl. Discov. 12(6) (2022) - [c6]Marian Turowski, Benedikt Heidrich, Kaleb Phipps, Kai Schmieder, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer:
Enhancing anomaly detection methods for energy time series using latent space data representations. e-Energy 2022: 208-227 - [c5]Benedikt Heidrich, Nicole Ludwig, Marian Turowski, Ralf Mikut, Veit Hagenmeyer:
Adaptively coping with concept drifts in energy time series forecasting using profiles. e-Energy 2022: 459-470 - [c4]Marian Turowski, Moritz Weber, Oliver Neumann, Benedikt Heidrich, Kaleb Phipps, Hüseyin Kemâl Çakmak, Ralf Mikut, Veit Hagenmeyer:
Modeling and generating synthetic anomalies for energy and power time series. e-Energy 2022: 471-484 - [i5]Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut:
Review of automated time series forecasting pipelines. CoRR abs/2202.01712 (2022) - [i4]Matias Quintana, Till Stoeckmann, June Young Park, Marian Turowski, Veit Hagenmeyer, Clayton Miller:
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles. CoRR abs/2203.06618 (2022) - 2021
- [j1]Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer:
Data-Driven Copy-Paste Imputation for Energy Time Series. IEEE Trans. Smart Grid 12(6): 5409-5419 (2021) - [i3]Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer:
Data-Driven Copy-Paste Imputation for Energy Time Series. CoRR abs/2101.01423 (2021) - [i2]Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer:
pyWATTS: Python Workflow Automation Tool for Time Series. CoRR abs/2106.10157 (2021) - [i1]Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut:
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks. CoRR abs/2111.09128 (2021) - 2020
- [c3]Benedikt Heidrich, Marian Turowski, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer:
Forecasting energy time series with profile neural networks. e-Energy 2020: 220-230 - [c2]Long Wang, Marian Turowski, Meng Zhang, Till Riedel, Michael Beigl, Ralf Mikut, Veit Hagenmeyer:
Point and contextual anomaly detection in building load profiles of a university campus. ISGT-Europe 2020: 11-15
2010 – 2019
- 2014
- [c1]Marian Turowski, Alexander Lenk:
Vertical Scaling Capability of OpenStack - Survey of Guest Operating Systems, Hypervisors, and the Cloud Management Platform. ICSOC Workshops 2014: 351-362
Coauthor Index
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