Better forecasts can reduce dependency on fossil fuels

Albert Soret

Better forecasts for clean energy production and power demand can improve the integration of renewables into the electricity system and help reduce the use of fossil fuel-fired plants, says Albert Soret, the leader of the S2S4E project.

“Both energy production and demand are strongly affected by weather conditions and their evolution over time. That is why we are working to make climate predictions more reliable and understandable,” Soret says in the video below.

Albert Soret, from the Barcelona Supercomputing Center, has since December 2017 been coordinating the S2S4E project, which is funded by the EU’s research and innovation programme Horizon 2020.

Soret and the other scientists and energy companies involved in the S2S4E project have together developed a new forecasting tool specifically tailored for the energy sector, the S2S4E Decision Support Tool (DST).

The tool features forecasts for climate variables such as temperature, precipitation, wind speed and solar radiation for up to three months ahead and will be free to use until the end of November 2020. 

“The tool is open to everybody, so please use it and help us improve it,” says Soret.

You can access the S2S4E DST at

Video by: Eilif Ursin Reed /CICERO. Text by: Iselin Rønningsbakk / CICERO.