Smart4RES: Next generation solutions for renewable energy forecasting and applications with focus on distribution grids

S. Camal*, G. Kariniotakis, F. Sossan, Q. Libois, R. Legrand, L. Raynaud, M. Lange, A. Mehrens, P. Pinson, A. Pierrot, G. Giebel, T. Göcmen, R. Bessa, J. Gouveia, L. Teixeira, A. Neto, R. M. Santos, G. Mendes, B. Nouri, J. LezacaR. Verziljbergh, G. Deen, G. Sideratos, C. Vitellas, G. Sauba, M. Eijgelaar, S. Petit

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


This paper presents the solutions on renewable energy forecasting proposed by the Horizon2020 Project Smart4RES. The ambition of the project is twofold: (1) increase substantially the performance of short-term forecasting models of Renewable Energy Sources (RES) production and associated weather forecasting and (2) optimize decisions subject to RES uncertainty in power systems and electricity markets. Developments are based on latest advances in meteorology and original use of data science (combination of multiple data sources, data-driven approaches for trading and grid management). Finally, solutions such as flexibility forecast of distributed resources and data markets are oriented towards value for power system stakeholders. Although the project covers a broad scope, in this paper we focus on a selection of use cases that concern the integration of renewables in distribution grids.
Original languageEnglish
Title of host publicationProceedings of CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution
Number of pages5
PublisherInstitution of Engineering and Technology
Publication date2022
ISBN (Electronic)978-1-83953-591-8
Publication statusPublished - 2022
EventCIRED 2021 Conference - Virtual event
Duration: 20 Sept 202123 Sept 2021


ConferenceCIRED 2021 Conference
CityVirtual event


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