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

Bloomfield, Hannah C.; Brayshaw, David J.; Gonzalez, Paula L. M.; Charlton-Perez, Andrew

doi:https://doi.org/10.5194/essd-13-2259-2021

Articles | Volume 13, issue 5

https://doi.org/10.5194/essd-13-2259-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-2259-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 5

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, David J. Brayshaw, Paula L. M. Gonzalez, and Andrew Charlton-Perez

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

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.