Maximilian Beichter

Orcid: 0009-0009-9713-3590

According to our database1, Maximilian Beichter authored at least 9 papers between 2022 and 2024.

Collaborative distances:

Timeline

2022
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

Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling.
Proceedings of the Energy Informatics - 4th Energy Informatics Academy Conference, 2024

2023
Transformer training strategies for forecasting multiple load time series.
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
Net load forecasting using different aggregation levels.
Energy Inform., 2022

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data.
Proceedings of the 26th International Conference on Pattern Recognition, 2022


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