Literatursammlung

[Ludee]

• Veröffentlichungen, die das MaStR untersuchen
• Veröffentlichungen, die das MaStR nutzen
• Datensätze, die mit dem MaStR verknüpft werden können
• Beschreibungen von Anwendungen, die MaStR und/oder open-MaStR nutzen

[Ludee]

open-mastr: A Python Package to Download and Process the German Energy Registry Marktstammdatenregister

https://doi.org/10.21105/joss.06758

@Article{Kotthoff2024, doi = {10.21105/joss.06758}, url = {https://doi.org/10.21105/joss.06758}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {100}, pages = {6758}, author = {Kotthoff, Florian and Muschner, Christoph and Tepe, Deniz and Pleßmann, Guido and Hülk, Ludwig}, title = {open-mastr: A Python Package to Download and Process the German Energy Registry Marktstammdatenregister}, journal = {Journal of Open Source Software} }

[FlorianK13]

Monitoring Germany's Core Energy System Dataset: A Data Quality Analysis of the Marktstammdatenregister

• published version: https://doi.org/10.1145/3717413.3717421
• arxiv: https://doi.org/10.48550/arXiv.2304.10581

@Article{10.1145/3717413.3717421,
author = {Kotthoff, Florian and Muschner, Christoph and Tepe, Deniz and Vogt, Esther and H"{u}lk, Ludwig},
title = {Monitoring Germany's Core Energy System Dataset: A Data Quality Analysis of the Marktstammdatenregister},
year = {2025},
issue_date = {October 2024},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {4},
number = {4},
url = {https://doi.org/10.1145/3717413.3717421},
doi = {10.1145/3717413.3717421},
abstract = {The energy system in Germany consists of a large number of distributed facilities, including millions of PV plants, wind turbines, and biomass plants. To understand and manage this system efficiently, accurate and reliable information about all facilities is essential. In Germany, the Marktstammdatenregister (MaStR) serves as a central registry for units of the energy system. The reliability of this data is critical for the registry's usefulness, but few validation studies have been published.In this work we provide a review of existing literature that relies on data from the MaStR and thereby show the registry's importance. We then build a data and testing pipeline for relevant data of the registry, with a focus on the two aspects of facility's location and size. All test results are published online in a reproducible workflow. Hence, this work contributes to a reliable data foundation for the German energy system and starts an open validation process of the Marktstammdatenregister from an academic perspective.},
journal = {SIGENERGY Energy Inform. Rev.},
month = feb,
pages = {88–99},
numpages = {12},
keywords = {data quality assessment, data validation, energy system analysis, open data, photovoltaic systems, renewable energies, wind power plants}
}