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

Authors :
Camal, Simon
Kariniotakis, Georges
Sossan, Fabrizio
Libois, Quentin
Legrand, Raphael
Raynaud, Laure
Lange, Matthias
Mehrens, Annah
Pinson, Pierre
Pierrot, Amandine
Giebel, Gregor
Göcmen, Tufhe
Bessa, Ricardo
Gouveia, Jose
Teixeira, Luis
Neto, Alexandre
Santos, Ricardo
Mendes, Gisela
Nouri, Bijan
Lezaca, Jorge
Verziljbergh, Remco
Deen, Gerrit
Sideratos, George
Vitellas, Christos
Sauba, Ganesh
Eijgelaar, Marcel
Petit, Stéphanie
Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques (PERSEE)
Mines Paris - PSL (École nationale supérieure des mines de Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
Météo-France Direction Interrégionale Sud-Est (DIRSE)
Météo-France
energy (EMSYS - Energy & Meteo Systems)
Danmarks Tekniske Universitet = Technical University of Denmark (DTU)
Institute for Systems and Computer Engineering, Technology and Science [Porto] (INESC TEC)
EDP New Energy World – Center for New Energy Technologies, EDP Distribuição
Deutsches Zentrum für Luft- und Raumfahrt (DLR)
WHIFFLE
National Technical University of Athens [Athens] (NTUA)
DEDDIE
DNV GL
Dowel Innovation
CIRED
European Project: 864337,Smart4RES
Source :
CIRED 2021-The 26th International Conference and Exhibition on Electricity Distribution, CIRED 2021-The 26th International Conference and Exhibition on Electricity Distribution, CIRED, Sep 2021, On line, Switzerland. pp.2899-2903, ⟨10.1049/icp.2021.1829⟩
Publication Year :
2021

Abstract

International audience; 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.

Details

ISBN :
978-1-83953-591-8
ISBNs :
9781839535918
Database :
OpenAIRE
Journal :
CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution
Accession number :
edsair.doi.dedup.....6bf40ff51216570975d121920741b1e2
Full Text :
https://doi.org/10.1049/icp.2021.1829