Conference paper
Smart4RES: Next generation solutions for renewable energy forecasting and applications with focus on distribution grids
University Paris-Sciences et Lettres1
Department of Wind Energy, Technical University of Denmark2
Wind Energy Systems Division, Department of Wind Energy, Technical University of Denmark3
GRID Integration and Energy Systems, Wind Energy Systems Division, Department of Wind Energy, Technical University of Denmark4
System Engineering and Optimization, Wind Energy Systems Division, Department of Wind Energy, Technical University of Denmark5
INESC TEC6
National Center for Telecommunication Studies7
German Aerospace Center8
Whiffle Ltd9
National Technical University of Athens10
Hellenic Electricity Distribution Network Operator S.A.11
Météo France12
DNV GL Group13
Dowel innovation scop S.A.S.14
EMSYS GmbH15
Operations Research, Management Science, Department of Technology, Management and Economics, Technical University of Denmark16
Management Science, Department of Technology, Management and Economics, Technical University of Denmark17
Department of Technology, Management and Economics, Technical University of Denmark18
Department of Electrical Engineering, Technical University of Denmark19
Center for Electric Power and Energy, Centers, Technical University of Denmark20
Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark21
...and 11 moreThis 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.
| Language: | English |
|---|---|
| Publisher: | Institution of Engineering and Technology |
| Year: | 2022 |
| Pages: | 2899-2903 |
| Proceedings: | CIRED 2021 Conference |
| ISBN: | 1839534303 , 1839535911 , 9781839534300 and 9781839535918 |
| Types: | Conference paper |
| DOI: | 10.1049/icp.2021.1829 |
| ORCIDs: | Pinson, P. , Pierrot, A. , Giebel, G. and Göcmen, T. |
