Maximilian Beichter
Orcid: 0009-0009-9713-3590
According to our database1,
Maximilian Beichter
authored at least 9 papers
between 2022 and 2024.
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2023
2024
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Bibliography
2024
On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching.
CoRR, 2024
Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation.
CoRR, 2024
EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis.
CoRR, 2024
Proceedings of the Energy Informatics - 4th Energy Informatics Academy Conference, 2024
2023
Energy Inform., January, 2023
Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder.
Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
2022
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data.
Proceedings of the 26th International Conference on Pattern Recognition, 2022