Data Science for Next Generation Renewable Energy Forecasting - Highlight Results from the Smart4RES Project

Georges Kariniotakis, Simon Camal, Fabrizio Sossan, Bijan Nouri, Jorge Lezaca, Matthias Lange, Bastien Alonzo, Quentin Libois, Pierre Pinson, Carla Goncalves, Ricardo Bessa

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DOI: 10.1049/icp.2021.2499
Published: 2021-09-28
Container: Not recorded
Publisher: IEEE XPLORE
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1049/icp.2021.2499,
  title = {Data Science for Next Generation Renewable Energy Forecasting - Highlight Results from the Smart4RES Project},
  author = {Georges Kariniotakis and Simon Camal and Fabrizio Sossan and Bijan Nouri and Jorge Lezaca and Matthias Lange and Bastien Alonzo and Quentin Libois and Pierre Pinson and Carla Goncalves and Ricardo Bessa},
  year = {2021},
  doi = {10.1049/icp.2021.2499},
  url = {https://doi.org/10.1049/icp.2021.2499}
}

RIS

TY  - JOUR
TI  - Data Science for Next Generation Renewable Energy Forecasting - Highlight Results from the Smart4RES Project
AU  - Georges Kariniotakis
AU  - Simon Camal
AU  - Fabrizio Sossan
AU  - Bijan Nouri
AU  - Jorge Lezaca
AU  - Matthias Lange
AU  - Bastien Alonzo
AU  - Quentin Libois
AU  - Pierre Pinson
AU  - Carla Goncalves
AU  - Ricardo Bessa
PY  - 2021
DO  - 10.1049/icp.2021.2499
UR  - https://doi.org/10.1049/icp.2021.2499
ER  -

APA

Kariniotakis, G., Camal, S., Sossan, F., Nouri, B., Lezaca, J., Lange, M., Alonzo, B., Libois, Q., Pinson, P., Goncalves, C., & Bessa, R. (2021). Data Science for Next Generation Renewable Energy Forecasting - Highlight Results from the Smart4RES Project. https://doi.org/10.1049/icp.2021.2499

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hal · retrieved 2026-09-25T05:27:10.107Z