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ZENODO
Software . 2024
Data sources: ZENODO
ZENODO
Software . 2024
Data sources: Datacite
ZENODO
Software . 2024
Data sources: Datacite
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open-mastr: A Python Package to Download and Process the German Energy Registry Marktstammdatenregister

Authors: Kotthoff, Florian; Muschner, Christoph; Deniz, Tepe; Pleßmann, Guido; Hülk, Ludwig;

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

Abstract

A package that provides an interface for downloading and processing the Marktstammdatenregister (MaStR). The Marktstammdatenregister (MaStR) is a German register provided by the German Federal Network Agency (Bundesnetzagentur / BNetza) that keeps track of all power and gas units located in Germany. It is a daily growing dataset with more than 8.2 million data points covering electricity and gas production units, electricity and gas consumers, storages, grids, and energy market participants (as of spring 2024). Generally, the MaStR data can be accessed via various options: browse, filter and download online download daily provided dumps access via the web service The python package open-mastr provides an interface for accessing the data and contributes to improving the usability of the access options above. This repository is intended for people who wish to simply work with the MaStR data and do not want to deal with the individual obstacles to data access of the three options above. It facilitates access to the daily provided MaStR dumps with download methods (bulk) and by parsing the XML files to a relational database. Furthermore, the software provides a Python wrapper to access the MaStR SOAP web service (API).

Keywords

energy system, Data processing, Renewable energy, Big data, Germany, dataset, Software, Python, energy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average