Marian Turowski

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Data Representations

Anomaly Detection

Top Venues

Publications

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) (2024)
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)
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) (2023)
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)
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 (2023)
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) (2023)
Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information. CoRR (2023)
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 (2022)
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)
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)
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)
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut
Review of automated time series forecasting pipelines. CoRR (2022)
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)
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)
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 (2021)
Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks. CoRR (2021)
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) (2021)
Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer
Data-Driven Copy-Paste Imputation for Energy Time Series. CoRR (2021)
Benedikt Heidrich, Marian Turowski, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
Forecasting energy time series with profile neural networks. e-Energy (2020)
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)
Marian Turowski, Alexander Lenk
Vertical Scaling Capability of OpenStack - Survey of Guest Operating Systems, Hypervisors, and the Cloud Management Platform. ICSOC Workshops (2014)