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Maximilian Beichter
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2020 – today
- 2024
- [c4]Rafael Poppenborg
, Kaleb Phipps
Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling. EI.A (2) 2024: 205-223 - 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
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
Net load forecasting using different aggregation levels. Energy Inform. 5 (2022) - [c1]Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold
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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last updated on 2024-12-02 21:33 CET by the dblp team
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