Publications

Le projet SAPHiR a son groupe sur Zotero : https://www.zotero.org/groups/4835689/saphir/

• 2026

  • Killian Pujol et al., “Improving Prediction of Heavy Rainfall in the Mediterranean with Neural Networks Using Both Observation and Numerical Weather Prediction Data,” Artificial Intelligence for the Earth Systems 5, no. 2 (April 2026): 250031, https://doi.org/10.1175/AIES-D-25-0031.1;

• 2025

  • Di Martino, Bernard, et al. “Hyperbolicity of a Semi-Lagrangian Formulation of the Hydrostatic Free-Surface Euler System.” Nonlinearity, vol. 38, no. 1, Jan. 2025, p. 015018, https://doi.org/10.1088/1361-6544/ad9b65.

  • Roberta Baggio et al., “Local Wind Speed Forecasting at Short Time Horizons Based on Numerical Weather Prediction and Observations From Surrounding Stations,” Journal of Geophysical Research: Machine Learning and Computation 2, no. 4 (December 2025): e2025JH000709, https://doi.org/10.1029/2025JH000709.

• 2024

  • Killian Pujol--Nicolas, Roberta Baggio, Jean-Baptiste Filippi, Dominique Lambert, Jean-François Muzy, et al.. Improving prediction of heavy rainfall with Neural Networks using both observation and Numerical Weather Prediction data. European Meteorological Society annual meeting, Sep 2024, Barcelona, Spain. ⟨10.5194/ems2024-368⟩. ⟨hal-04682851⟩

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  • Killian Pujol--Nicolas, Roberta Baggio, Jean-Baptiste Filippi, Dominique Lambert, Jean-François Muzy, et al.. Improving prediction of heavy rainfall in the Mediterranean region using Neural Networks. 3rd MedCyclones Workshop, Jul 2024, Frascati (Rome), Italy. . ⟨hal-04682908⟩

  • Despotovic, M., Voyant, C., Garcia-Gutierrez, L., Almorox, J., & Notton, G. (2024). Solar irradiance time series forecasting using auto-regressive and extreme learning methods: Influence of transfer learning and clustering. Applied Energy, 365, 123215. https://doi.org/10.1016/j.apenergy.2024.123215 

  • Baggio, Roberta, and Jean-François Muzy. “Improving Probabilistic Wind Speed Forecasting Using M-Rice Distribution and Spatial Data Integration.” Applied Energy, vol. 360, Apr. 2024, p. 122840, https://doi.org/10.1016/j.apenergy.2024.122840

• 2023
  • J. Fericean, N. Ottavi, C. Paoli, ML Nivet, PA Bisgambiglia, “Breaking Down Barriers to Data and Code Sharing in Machine Learning Research” - TERINT 2023 : 2ième rencontre scientifique sur les territoires intelligents Date : 6 et 7 Juillet 2023, Ajaccio, INSPE de Corse.
  • R. Baïle and J.-F. Muzy, “Leveraging data from nearby stations to improve short-term wind speed forecasts,” Energy, vol. 263, p. 125644, Jan. 2023, doi: 10.1016/j.energy.2022.125644 
• 2022

  • C. Paoli et al., “SENSOR AUGMENTED WEATHER PREDICTION AT HIGH RESOLUTION” [ANR-21-CE04-0014-03]” PROJECT DMP.” Jul. 2022. Accessed: Oct. 28, 2022. [Online]. Available: https://hal.archives-ouvertes.fr/hal-03737267 

  • C. Voyant, P. Lauret, G. Notton, J.-L. Duchaud, L. Garcia-Gutierrez, et G. A. Faggianelli, « Complex-valued time series based solar irradiance forecast », Journal of Renewable and Sustainable Energy, vol. 14, n? 6, p. 066502, nov. 2022, doi: 10.1063/5.0128131.