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

doi:10.1049/icp.2021.1829

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 proceeding › Article in proceedings › Research › peer-review

Abstract

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 language	English
Title of host publication	Proceedings of CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution
Number of pages	5
Publisher	Institution of Engineering and Technology
Publication date	2022
Pages	2899-2903
ISBN (Electronic)	978-1-83953-591-8
DOIs	https://doi.org/10.1049/icp.2021.1829
Publication status	Published - 2022
Event	CIRED 2021 Conference - Virtual event Duration: 20 Sept 2021 → 23 Sept 2021

Conference

Conference	CIRED 2021 Conference
City	Virtual event
Period	20/09/2021 → 23/09/2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1049/icp.2021.1829

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Camal, S., Kariniotakis, G., Sossan, F., Libois, Q., Legrand, R., Raynaud, L., Lange, M., Mehrens, A., Pinson, P., Pierrot, A., Giebel, G., Göcmen, T., Bessa, R., Gouveia, J., Teixeira, L., Neto, A., Santos, R. M., Mendes, G., Nouri, B., ... Petit, S. (2022). Smart4RES: Next generation solutions for renewable energy forecasting and applications with focus on distribution grids. In Proceedings of CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution (pp. 2899-2903). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2021.1829

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

abstract = "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.",

author = "S. Camal and G. Kariniotakis and F. Sossan and Q. Libois and R. Legrand and L. Raynaud and M. Lange and A. Mehrens and P. Pinson and A. Pierrot and G. Giebel and T. G{\"o}cmen and R. Bessa and J. Gouveia and L. Teixeira and A. Neto and Santos, {R. M.} and G. Mendes and B. Nouri and J. Lezaca and R. Verziljbergh and G. Deen and G. Sideratos and C. Vitellas and G. Sauba and M. Eijgelaar and S. Petit",

year = "2022",

doi = "10.1049/icp.2021.1829",

language = "English",

pages = "2899--2903",

booktitle = "Proceedings of CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution",

publisher = "Institution of Engineering and Technology",

note = "CIRED 2021 Conference ; Conference date: 20-09-2021 Through 23-09-2021",

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Camal, S, Kariniotakis, G, Sossan, F, Libois, Q, Legrand, R, Raynaud, L, Lange, M, Mehrens, A, Pinson, P, Pierrot, A, Giebel, G , Göcmen, T, Bessa, R, Gouveia, J, Teixeira, L, Neto, A, Santos, RM, Mendes, G, Nouri, B, Lezaca, J, Verziljbergh, R, Deen, G, Sideratos, G, Vitellas, C, Sauba, G, Eijgelaar, M & Petit, S 2022, Smart4RES: Next generation solutions for renewable energy forecasting and applications with focus on distribution grids. in Proceedings of CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution. Institution of Engineering and Technology, pp. 2899-2903, CIRED 2021 Conference, Virtual event, 20/09/2021. https://doi.org/10.1049/icp.2021.1829

Smart4RES: Next generation solutions for renewable energy forecasting and applications with focus on distribution grids. / Camal, S.; Kariniotakis, G.; Sossan, F. et al.
Proceedings of CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution. Institution of Engineering and Technology, 2022. p. 2899-2903.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Smart4RES: Next generation solutions for renewable energy forecasting and applications with focus on distribution grids

AU - Camal, S.

AU - Kariniotakis, G.

AU - Sossan, F.

AU - Libois, Q.

AU - Legrand, R.

AU - Raynaud, L.

AU - Lange, M.

AU - Mehrens, A.

AU - Pinson, P.

AU - Pierrot, A.

AU - Giebel, G.

AU - Göcmen, T.

AU - Bessa, R.

AU - Gouveia, J.

AU - Teixeira, L.

AU - Neto, A.

AU - Santos, R. M.

AU - Mendes, G.

AU - Nouri, B.

AU - Lezaca, J.

AU - Verziljbergh, R.

AU - Deen, G.

AU - Sideratos, G.

AU - Vitellas, C.

AU - Sauba, G.

AU - Eijgelaar, M.

AU - Petit, S.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

U2 - 10.1049/icp.2021.1829

DO - 10.1049/icp.2021.1829

M3 - Article in proceedings

SP - 2899

EP - 2903

BT - Proceedings of CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution

PB - Institution of Engineering and Technology

T2 - CIRED 2021 Conference

Y2 - 20 September 2021 through 23 September 2021

ER -

Camal S, Kariniotakis G, Sossan F, Libois Q, Legrand R, Raynaud L et al. Smart4RES: Next generation solutions for renewable energy forecasting and applications with focus on distribution grids. In Proceedings of CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution. Institution of Engineering and Technology. 2022. p. 2899-2903 doi: 10.1049/icp.2021.1829

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

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