How to cite this Dataset
Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation: hourly data from 1979-2019. University of Reading. Dataset. https://doi.org/10.17864/1947.272
Description
The ERA5 reanalysis data (1979-2019) has been used to calculate the hourly country aggregated wind and solar power generation for 28 European countries based on a distribution of wind and solar farms which is considered to be representative of the 2017 situation. In addition a corresponding daily time series of nationally aggregated electricity demand is provided. The datasets have been produced to investigate the inter-annual variability of the three weather-dependent power system components.
When citing this dataset please refer to the publication: Sub-seasonal forecasts of demand, wind power and solar power generation for 28 European countries (see Related CentAUR publications).
| Resource Type: | Dataset |
|---|---|
| Creators: | Bloomfield, Hannah  ORCID: https://orcid.org/0000-0002-5616-1503, Brayshaw, David ORCID: https://orcid.org/0000-0002-3927-4362 and Charlton-Perez, Andrew ORCID: https://orcid.org/0000-0001-8179-6220 |
| Rights-holders: | University of Reading |
| Data Publisher: | University of Reading |
| Publication Year: | 2020 |
| Data last accessed: | 20 November 2024 |
| DOI: | https://doi.org/10.17864/1947.272 |
| Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/272 |
| Organisational units: | Science > School of Mathematical, Computational and Physical Sciences > NCAS Science > School of Mathematical, Computational and Physical Sciences > Department of Meteorology |
| Participating Organisations: | University of Reading |
| Keywords: | electricity demand, wind power generation, solar power generation |
| Rights: | |
| Data Availability: | OPEN |
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