| Autor: |
David Manske, Lukas Grosch, Julius Schmiedt, Nora Mittelstädt, Daniela Thrän |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Data, Vol 7, Iss 9, p 128 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2306-5729 |
| DOI: |
10.3390/data7090128 |
| Popis: |
Information on geo-locations of renewable energy installations is very useful to investigate spatial, social or environmental questions on their impact at local and national level. However, existing data sets do not provide a sufficiently accurate representation of these installations in Germany over space and time. This work provides a valid approach on how a data set of wind power plants, photovoltaic field systems, bioenergy plants and hydropower plants can be created for Germany based on a data extract from the Core Energy Market Data Register (CEMDR) and publicly available data. Established methods were used (e.g., random forest, image recognition), but new techniques were also developed to fill data gaps or locate misplaced renewable energy installations. In this way, a substantial part of the CEMDR data could be corrected and processed in such a way that it can be freely used in a GIS software by any scientific and non-scientific discipline. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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