Dataset Open Access
Machine-learning-long-term-wind-power-time-series
Baumgartner, Johann
In this research work we assess how time-series generated by machine learning models (MLM) compare to Renewables.ninja in terms of their ability to replicate the characteristics of observed nationally aggregated wind power generation for Germany. With this archive, we want to make three machine learning derived time-series available in the Feather format for everyone interested.
Files
(10.2 MB)
| Name | Size | |
|---|---|---|
|
MLM1
md5:126a485f4b082807b29b0a47eb9818d3 |
982.2 kB | Download |
|
MLM1.csv
md5:5a03eb9cb9718b4dfa6201e612bf5cde |
2.4 MB | Download |
|
MLM2
md5:f2eae1cf8ae73faff3c5a527eb7f8b07 |
982.2 kB | Download |
|
MLM2.csv
md5:a8f86bb13600e947576ebec19075012f |
2.4 MB | Download |
|
MLM3
md5:c2648957ddefab8de970fdcc852971ff |
982.2 kB | Download |
|
MLM3.csv
md5:b613c06df0e6984d2ce48d50f092b7e6 |
2.4 MB | Download |
153
165
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 153 | 131 |
| Downloads | 165 | 161 |
| Data volume | 347.6 MB | 343.7 MB |
| Unique views | 140 | 123 |
| Unique downloads | 97 | 94 |
Indexed in
- Publication date:
- March 11, 2020
- DOI:
-
- License (for files):
- Creative Commons Attribution 4.0 International