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ORCIDMaximilian Beichter
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2020 – today
- 2026
[d1]Sebastian Beichter
, Marius Dettki, Maximilian Beichter, Johannes Galenzowski, Jan Martin Reckel, Janik Pinter, Alexander Stein, David Abel, Richard Jumar, Friedrich Wiegel, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer:
Open-source data set for characterizing the charging behavior of electric vehicles. Zenodo, 2026
- [i9]Pascal Henrich, Jonas Sievers, Maximilian Beichter, Thomas Blank, Ralf Mikut, Veit Hagenmeyer:
Knowledge Distillation for Efficient Transformer-Based Reinforcement Learning in Hardware-Constrained Energy Management Systems. CoRR abs/2603.26249 (2026) - 2025
- [j3]Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut:
On autoregressive deep learning models for day-ahead wind power forecasts with irregular shutdowns due to redispatching. Autom. 73(10): 752-766 (2025) - [i8]Maximilian Beichter, Nils Friederich, Janik Pinter, Dorina Werling, Kaleb Phipps, Sebastian Beichter, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer, Benedikt Heidrich:
Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization. CoRR abs/2503.01936 (2025) - [i7]Nils Friederich, Angelo Jovin Yamachui Sitcheu, Annika Nassal, Erenus Yildiz, Matthias Pesch, Maximilian Beichter, Lukas Scholtes, Bahar Akbaba, Thomas Lautenschlager, Oliver Neumann, Dietrich Kohlheyer, Hanno Scharr, Johannes Seiffarth, Katharina Nöh, Ralf Mikut:
EAP4EMSIG - Enhancing Event-Driven Microscopy for Microfluidic Single-Cell Analysis. CoRR abs/2504.00047 (2025) - [i6]Pascal Zwick, Nils Friederich, Maximilian Beichter, Lennart Hilbert, Ralf Mikut, Oliver Bringmann:
LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation. CoRR abs/2505.20723 (2025) - 2024
- [c6]Maximilian Beichter, Dorina Werling, Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Nils Friederich, Ralf Mikut, Veit Hagenmeyer:
Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems. e-Energy 2024 - [c5]Oliver Neumann, Maximilian Beichter, Benedikt Heidrich, Nils Friederich, Veit Hagenmeyer, Ralf Mikut:
Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions. e-Energy 2024 - [c4]Rafael Poppenborg, Kaleb Phipps, Maximilian Beichter, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer:
Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling. EI.A (2) 2024: 205-223 - [i5]Nils Friederich, Angelo Jovin Yamachui Sitcheu, Annika Nassal, Matthias Pesch, Erenus Yildiz, Maximilian Beichter, Lukas Scholtes, Bahar Akbaba, Thomas Lautenschlager, Oliver Neumann, Dietrich Kohlheyer, Hanno Scharr, Johannes Seiffarth, Katharina Nöh, Ralf Mikut:
EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis. CoRR abs/2411.05030 (2024) - [i4]Janik Pinter, Frederik Zahn, Maximilian Beichter, Ralf Mikut, Veit Hagenmeyer:
Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation. CoRR abs/2411.12480 (2024) - [i3]Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut:
On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching. CoRR abs/2412.00423 (2024) - 2023
- [j2]Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer:
Transformer training strategies for forecasting multiple load time series. Energy Inform. 6(1): 20 (2023) - [c3]Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer:
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder. e-Energy (Companion) 2023: 59-71 - [c2]Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer:
Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder. EI.A 2023: 95-116 - [i2]Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer:
Transformer Training Strategies for Forecasting Multiple Load Time Series. CoRR abs/2306.10891 (2023) - 2022
- [j1]Maximilian Beichter, Kaleb Phipps, Martha Maria Frysztacki, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig:
Net load forecasting using different aggregation levels. Energy Inform. 5 (2022) - [c1]Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knaeble, Thorsten Schwarz, Alexander Maedche, Rainer Stiefelhagen:
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. ICPR 2022: 1607-1613 - [i1]Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knäble, Thorsten Schwarz, Alexander Mädche, Rainer Stiefelhagen:
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. CoRR abs/2204.14136 (2022)
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