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courses/2025_Research_Software_Engineering_2/CITATION.cff
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2025-07-30 15:57:48 +02:00

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# .cff
cff-version: 1.2.0
title: SolarLytics
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: 'Joaquin '
family-names: Gottlebe
email: gottlebe@uni-potsdam.de
affiliation: University of Potsdam
- given-names: Flora
family-names: Grellmann
email: grellmann@uni-potsdam.de
affiliation: University of Potsdam
- given-names: Mirjam
family-names: Rupinski
email: rupinski@uni-potsdam.de
affiliation: University of Potsdam
repository-code: 'https://gitup.uni-potsdam.de/gottlebe/solarlytics'
abstract: >-
Solarlytics estimates the theoretical energy production of
German solar parks by combining area data from
OpenStreetMap with sunshine duration from the German
Weather Service. The results are compared to actual
photovoltaic electricity feed-in data from Destatis.
keywords:
- photovoltaic data
- Solarparc
- Sunshine duration
- Python
license: MIT
version: '1.0'
date-released: '2025-07-20'