How to cite this Dataset
Gonzalez, Paula, Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): Sub-seasonal forecasts of European electricity demand, wind power and solar power generation. University of Reading. Dataset. https://doi.org/10.17864/1947.275
Description
Sub-seasonal forecasts of daily country-level European electricity demand, wind power and solar power generation, along with the driving meteorological variables, from two sub-seasonal to seasonal prediction systems and lead times extending to 44 days. The matching ERA5-derived variables are also provided to facilitate verification analyses.
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).
| Alternative title: | Sub-seasonal forecasts of European electricity demand, wind power and solar power generation |
|---|---|
| Resource Type: | Dataset |
| Creators: | Gonzalez, Paula  ORCID: https://orcid.org/0000-0003-0154-0087, 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 December 2024 |
| DOI: | https://doi.org/10.17864/1947.275 |
| Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/275 |
| 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: | sub-seasonal forecasts, energy, electricity demand, solar power, wind power, multi-model, ERA5 reanalysis, forecast verification, S2S forecasts |
| Rights: | |
| Data Availability: | OPEN |
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