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. Lezaca, R. Verziljbergh, G. Deen,G. Sideratos, C. Vitellas, G. Sauba, M. Eijgelaar,S. Petit

CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution(2021)

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摘要
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.
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关键词
renewable energy forecasting,renewable energy,next generation solutions
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