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Benedikt Heidrich
Benedikt Heidrich
Data Scientist, MBTI
Verified email at mercedes-benz.com
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Year
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 eleventh 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
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
Towards line-restricted dispatchable feeders using probabilistic forecasts for PV-dominated low-voltage distribution grids
D Werling, B Heidrich, HK Çakmak, V Hagenmeyer
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
62022
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models
S Meisenbacher, B Heidrich, T Martin, R Mikut, V Hagenmeyer
Proceedings of the 14th ACM International Conference on Future Energy …, 2023
52023
The impact of forecast characteristics on the forecast value for the dispatchable feeder
D Werling, M Beichter, B Heidrich, K Phipps, R Mikut, V Hagenmeyer
Companion Proceedings of the 14th ACM International Conference on Future …, 2023
42023
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
Automating value-oriented forecast model selection by meta-learning: Application on a dispatchable feeder
D Werling, M Beichter, B Heidrich, K Phipps, R Mikut, V Hagenmeyer
Energy Informatics Academy Conference, 95-116, 2023
32023
Transformer training strategies for forecasting multiple load time series
M Hertel, M Beichter, B Heidrich, O Neumann, B Schäfer, R Mikut, ...
Energy Informatics 6 (Suppl 1), 20, 2023
32023
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
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, 113-130, 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
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
Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions
O Neumann, M Beichter, B Heidrich, N Friederich, V Hagenmeyer, ...
Proceedings of the 15th ACM International Conference on Future and …, 2024
2024
Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems
M Beichter, D Werling, B Heidrich, K Phipps, O Neumann, N Friederich, ...
Proceedings of the 15th ACM International Conference on Future and …, 2024
2024
tsbootstrap: Enhancing Time Series Analysis with Advanced Bootstrapping Techniques
S Gilda, B Heidrich, F Kiraly
arXiv preprint arXiv:2404.15227, 2024
2024
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