Articles | Volume 13, issue 5
Earth Syst. Sci. Data, 13, 2259–2274, 2021
https://doi.org/10.5194/essd-13-2259-2021
Earth Syst. Sci. Data, 13, 2259–2274, 2021
https://doi.org/10.5194/essd-13-2259-2021

Data description paper 26 May 2021

Data description paper | 26 May 2021

Sub-seasonal forecasts of demand and wind power and solar power generation for 28 European countries

Hannah C. Bloomfield et al.

Data sets

Sub-seasonal forecasts of European electricity demand, wind power and solar power generation Paula Gonzalez, Hannah Bloomfield, David Brayshaw and Andrew Charlton-Perez https://doi.org/10.17864/1947.275

ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation: hourly data from 1979-2019 Hannah Bloomfield, David Brayshaw and Andrew Charlton-Perez https://doi.org/10.17864/1947.273

Model code and software

Code R Project for Statistical Computing https://cran.r-project.org/web/packages/CSTools/vignettes/PlotForecastPDF.html

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Short summary
Energy systems are becoming more exposed to weather as more renewable generation is built. This means access to high-quality weather forecasts is becoming more important. This paper showcases past forecasts of electricity demand and wind power and solar power generation across 28 European countries. The timescale of interest is from 5 d out to 1 month ahead. This paper highlights the recent improvements in forecast skill and hopes to promote collaboration in the energy–meteorology community.