Marian Turowski

22 papers Journal 13Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network. Appl. Intell. Kaleb Phipps, Benedikt Heidrich, Marian Turowski, Moritz Wittig, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks. Appl. Intell. Benedikt Heidrich, Marian Turowski, Kaleb Phipps, Kai Schmieder, Wolfgang Süß, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks. CoRR Kaleb Phipps, Benedikt Heidrich, Marian Turowski, Moritz Wittig, Ralf Mikut, Veit Hagenmeyer
2023	—	`—`	Data-Driven Methods for Managing Anomalies in Energy Time Series. Marian Turowski
2023	—	`conf`	Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation. e-Energy Kaleb Phipps, Stefan Meisenbacher, Benedikt Heidrich, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
2023	—	`conf`	Managing Anomalies in Energy Time Series for Automated Forecasting. EI.A Marian Turowski, Oliver Neumann, Lisa Mannsperger, Kristof Kraus, Kira Layer, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information. CoRR Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	Using weather data in energy time series forecasting: the benefit of input data transformations. Energy Inform. Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig
2022	J	`jnl`	ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles. CoRR Matias Quintana, Till Stoeckmann, June Young Park, Marian Turowski, Veit Hagenmeyer, Clayton Miller
2022	—	`conf`	Adaptively coping with concept drifts in energy time series forecasting using profiles. e-Energy Benedikt Heidrich, Nicole Ludwig, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
2022	J	`jnl`	Boost short-term load forecasts with synthetic data from transferred latent space information. Energy Inform. Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
2022	—	`conf`	Enhancing anomaly detection methods for energy time series using latent space data representations. e-Energy Marian Turowski, Benedikt Heidrich, Kaleb Phipps, Kai Schmieder, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer
2022	—	`conf`	Modeling and generating synthetic anomalies for energy and power time series. e-Energy Marian Turowski, Moritz Weber, Oliver Neumann, Benedikt Heidrich, Kaleb Phipps, Hüseyin Kemâl Çakmak, Ralf Mikut, Veit Hagenmeyer
2022	J	`jnl`	Review of automated time series forecasting pipelines. CoRR Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut
2022	J	`jnl`	Review of automated time series forecasting pipelines. WIREs Data Mining Knowl. Discov. Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut
2021	J	`jnl`	Data-Driven Copy-Paste Imputation for Energy Time Series. CoRR Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer
2021	J	`jnl`	Data-Driven Copy-Paste Imputation for Energy Time Series. IEEE Trans. Smart Grid Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer
2021	J	`jnl`	Smart Data Representations: Impact on the Accuracy of Deep Neural Networks. CoRR Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut
2021	J	`jnl`	pyWATTS: Python Workflow Automation Tool for Time Series. CoRR Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
2020	—	`conf`	Forecasting energy time series with profile neural networks. e-Energy Benedikt Heidrich, Marian Turowski, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
2020	—	`conf`	Point and contextual anomaly detection in building load profiles of a university campus. ISGT-Europe Long Wang, Marian Turowski, Meng Zhang, Till Riedel, Michael Beigl, Ralf Mikut, Veit Hagenmeyer
2014	—	`conf`	Vertical Scaling Capability of OpenStack - Survey of Guest Operating Systems, Hypervisors, and the Cloud Management Platform. ICSOC Workshops Marian Turowski, Alexander Lenk