Data science for renewable energy (RES) prediction
The development of data science together with increasing quantities of data collected opens new possibilities for renewable energy (RES) forecasting. The EU-funded Smart4RES research project aims to substantially improve the entire model and value chain in RES prediction by proposing the next generation of RES forecasting models. The project will center on improving weather forecasting with particular focus on the needs of the RES industry. It will exploit very high-resolution weather predictions and a wide range of data from different geographical areas and ownerships, while respecting privacy and confidentiality constraints. Smart4RES targets include providing outstandingly accurate forecasts that result in increased benefits when used in applications like storage management, and that support grid operation and RES participation in electricity markets.
Fields of science
Call for proposal
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Funding SchemeRIA - Research and Innovation action
2629 JD Delft
2685 039 Sacavem E Prior Velho Lisboa