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

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.

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Publication Details

Journal
ACM SIGEnergy Energy Informatics Review
Published
2024-10-01
DOI
https://doi.org/10.1145/3717413.3717421
Citations
1
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.49
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Monitoring Germany's Core Energy System Dataset: A Data Quality Analysis of the Marktstammdatenregister

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article

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

Ludwig Hülk, Christoph Muschner, Deniz Tepe, Esther Vogt, Florian Kotthoff
article en
1 citations

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.

ACM SIGEnergy Energy Informatics ReviewVol. 4(4)
University of Mannheim (DE), Oldenburger Institut für Informatik (DE), Institute for Enterprise Systems (DE), Fortiss (DE), Reiner Lemoine Institute (DE)
Openalex Percentile: Top 27%
Data Quality and Management
0.49
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