University of Reading Research Data Archive

Sub-seasonal forecasts of European electricity demand, wind power and solar power generation

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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 and Charlton-Perez, Andrew ORCID: https://orcid.org/0000-0001-8179-6220
Rights-holders: University of Reading
Data Publisher: University of Reading
Publication Date: 2020
Data last accessed: 17 September 2021
DOI: http://dx.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
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