Publications scientifiques

L’irradiation horizontale globale (GHI) ou irradiation solaire de surface (SSI) est un paramètre météorologique et climatique clé qui détermine les interactions entre la surface terrestre et l’atmosphère, y compris les processus radiatifs, hydrologiques et autres processus de la surface terrestre. Le GHI peut fluctuer fortement en raison du passage des nuages. Par conséquent, la prévision de la couverture nuageuse à l’échelle de l’heure est utile pour la gestion de l’énergie solaire et pour toute autre application nécessitant des informations sur la couverture nuageuse à l’échelle locale. Reuniwatt vise à faire progresser l’état de l’art dans le domaine de l’estimation et de la prévision globale du GHI par satellite et de la prévision de la couverture nuageuse.

• Rivonirina J-M., Portafaix T., Lamy K., Rakotoniaina S., Turpin M., Intercomparison of cloud fraction between all-sky imagers, satellites, and numerical weather prediction models over Reunion Island, EUMETSAT Meteorological Satellite Conference 2023, 11-15 September 2023, Malmö, Sweden.
• Turpin M., Kurzrock F., Schmutz N.: Assessment of direct normal irradiance assessment from cloud optical depth of geostationary meteorological satellites in Germany, EMS Annual Meeting 2022, Bonn, Germany, 5–9 Sep 2022, EMS2022-338, https://doi.org/10.5194/ems2022-338, 2022.
• Turpin M., Lallemand C., Schmutz N., Solar irradiance assessment from geostationary meteorological satellites under snow conditions, 102nd American Meteorological Society Annual Meeting, 23-27 January 2022, Virtual Meeting.
• Polo, J., Fernández-Peruchena, C., Salamalikis, V., Mazorra-Aguiar, L., Turpin, M., Martín-Pomares, L., Kazantzidis, A., Blanc, P., Remund, J. (2020). Benchmarking on improvement and site-adaptation techniques for modeled solar radiation datasets. Solar Energy, 201, 469-479.
• Turpin M., Lallemand C., Lefèfre M., Kurzrock F., Schmutz N., Geographic Information System for the analysis and forecast of spatio-temporal configurations of cloud occurrences, NWCSAF Users Workshop 2020, 10-12 March 2020, Madrid, Spain.
• Turpin M., Grosselin L., Castro Cárdenas J.F., David M., Site adaptation to improve GHI accuracy assessed by satellite. ISES Solar World Congress (SWC), November 2019, Santiago, Chile.
• Lefèvre M., Cros S., Saint-Drenan Y-M., Meirink J. F., Schroedter-Homscheidt M., Deneke H., Turpin M., Stengel M., Applying the Heliosat-4 method to four different cloud property databases for the estimation of the surface downwelling short wave irradiation, EMS Annual meeting 2019, European Conference for Applied Meteorology and Climatology, 9-13 September 2019, Lyngby, Denmark.
• Cros S., Turpin M., Lallemand C., Souchard de Lavoreille H., Kurzrock F., Satellite-based cloud cover detection and tracking for solar irradiance forecasting, European Geosciences Union General Assembly 2019, 7-12 April 2019, Vienna, Austria. Vol. 21, pp.EGU2019-14784, 2019, Geophysical Research Abstracts.
• Cros S., Turpin M., Aillaud P., Lallemand C., Real-time solar irradiance retrieval from satellite data: quality assessment of an operational tool using five satellites, 6th International Conference Energy & Meteorology, 24-27 June 2019, Copenhagen, Denmark.
• Turpin M., Cros S., Lallemand C., Monchalin M., Kurzrock F., Intraday cloud cover forecasting using geostationary meteorological satellite images, American Geophysical Union Fall Meeting, December 10-14, 2018, Washington, D.C., USA.
• Roussel, G., Liandrat, O., Cros, S., Turpin, M., Rainjonneau, S., Qualification of a new short-term cloud forecasting method for the optimization of Earth observation satellite programs. In Remote Sensing of Clouds and the Atmosphere XXIII (Vol. 10786, p. 107860P). International Society for Optics and Photonics, October 2018, Berlin, Germany.
• Cros S., Turpin M., Lallemand C., Guérin A., Solar irradiance and variability forecasting using Himawari-8 satellite images, 5th International Conference Energy & Meteorology, 22-24 May 2018, Shanghai, China.
• Cros S., Turpin M., Le Guillou F., Providing intraday solar irradiance forecasts before the sunrise: satellite-based night cloud index retrieval and forecast, EMS Annual meeting 2017, European Conference for Applied Meteorology and Climatology, 4-8 September 2017, Dublin, Ireland.
• Cros S., Turpin M., De Roubaix M., Schmutz N., An autoregressive algorithm of solar irradiance forecasting in Reunion Island: First benefits of Meteosat-8 over Indian Ocean, Eumetsat Meteorological Satellite Conference 2017, 2-6 October 2017, Rome, Italy.
• Cros S., Lallemand C., Turpin M., Wald L., Using SEVIRI cloud time-series to assess the orbits number of LEO optical satellites for land mapping without cloud contamination, EUMETSAT Meteorological Satellite Conference 2017, 2-6 October 2017, Rome, Italy.
• Cros S., Huet L., Buessler E., Turpin M., Intraday solar irradiance forecasting using day and night satellite data: benefits for the PV power trading, 4th International Conference Energy & Meteorology, 27–29 June 2017, Bari, Italy.
• Cros S., Buessler E., Le Guillou F., Turpin M., Country Scale Solar Irradiance Forecasting for PV Power Trading, 7th Solar Integration Workshop – International Workshop on Integration of Solar Power into Power Systems, October 24-25 2017, Berlin, Germany.
• Cros S., Rémy P., Madec S., Schmutz N., Design of a double-layer cloud motion vector field using cloud top height from SAF-NWC for solar irradiance forecasting, 2016 EUMETSAT Meteorological Satellite Conference, September 26-20 2016, Darmstadt, Germany.
• Cros S., Liandrat O., Turpin M., Pineau J.-F., Solar irradiance assessment in insular areas using Himawari-8 satellite images, American Geophysical Union Fall Meeting, December 12-16, 2016, San Francisco, USA.
• Cros S., Deroubaix M., Turpin M., Jeanty P., Satellite-based solar irradiance assessment and forecasting in tropical insular areas, 16th European Meteorological Society (EMS) Annual Meeting & & 11th European Conference on Applied Climatology (ECAC), 12–16 September 2016, Trieste, Italy.
• Lorenz E., Kühnert J., Heinemann D., Nielsen K. P., Remund J., Müller S.C., Cros S., Comparison of irradiance forecasts based on numerical weather prediction models with different spatio-temporal resolutions, In Proceedings of the 31st European PV Solar Energy Conference, 14-18 September 2015, Hamburg, Germany.
• Cros S., Turpin M., Verspieren Q., Lallemand C., Schmutz N., Pignolet G., Mapping surface solar irradiance over Japan and Australia using MTSAT-2 and MODIS, 30th International Symposium on Space Technology and Science, 4-10 July 2015, Kobe-Hyogo, Japan.
• Cros S., Turpin M., Lallemand C., Verspieren Q., Schmutz N., Soleksat: a flexible solar irradiance forecasting tool using satellite images and geographic web-services., 3rd International Conference for Energy & Meteorology, 23-26 June 2015, Boulder, CO, USA.
• Cros S., Thomas R., Turpin M., Lallemand C., Sébastien N., Schmutz N., Intraday solar energy forecasting using cloud motion observation from satellite combined with WRF irradiance forecasts, 15th European Meteorological Society (EMS) Annual Meeting & 12th European European Conference on Applications of Meteorology (ECAM), September 7-11 2015, Sofia, Bulgaria.
• Hamard I., Catry T., Richard P-E., Cros S., Liandrat O., Révillion C., Schmutz N., Photovoltaic plant mapping in Reunion Island from very high resolution optical remote sensing: the benefit of Pléiades imagery, Pléiades Days, April 1-3 2014, Toulouse, France.
• Cros S., Sébastien N., Liandrat O., Schmutz N., Cloud pattern prediction from geostationary meteorological satellite images for solar energy forecasting, In Proceedings of SPIE – Remote Sensing Conference, 22-25 September 2014, Amsterdam, The Netherlands.
• Cros S., Liandrat O., Sébastien N., Jolivet S., Schmutz N., Solar energy forecasting using Meteosat Second Generation Optimal Cloud Analysis and cloud motion vectors derivation from MSG HRV channel, In Proceedings of the 2014 EUMETSAT Meteorological Satellite Conference, 22-26 September 2014, Geneva, Switzerland.
• Cros S., Jolivet S., Sébastien N., Schmutz N., Using Satellite Data for Intraday Solar Energy Forecasts: Benchmarks of Two Cloud Trajectory Retrieval Techniques, In Proceedings of the 29th European PV Solar Energy Conference, 22 – 26 September 2014, Amsterdam, The Netherlands.
• Cros, S., Liandrat, O., Sébastien, N., & Schmutz, N. (2014, July). Extracting cloud motion vectors from satellite images for solar power forecasting. In Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International (pp. 4123-4126).
• Cros S., Sébastien N., Schmutz N., Using meteorological satellite data for photovoltaic production intra-day forecast, International Conference for Energy Meteorology. 25-28 June 2013, Toulouse, France.
• Cros S., Sébastien N., Schmutz N., Photovoltaic production forecast: the significant role of the meteorological satellites, 13th EMS Annual Meeting & 11th European Conference on Applications of Meteorology (ECAM), 09 – 13 September 2013, Reading, United Kingdom.
• Cros S., Liandrat O., Voyant C., Schmutz N., Comparison of clear-sky models performance for a photovoltaic energy production forecasting tool, 13th EMS Annual Meeting & 11th European Conference on Applications of Meteorology (ECAM), 09 – 13 September 2013, Reading, United Kingdom.

Contrairement aux imageurs de ciel qui fonctionnent dans le domaine visible, l’imageur de ciel IR breveté de Reuniwatt, Sky InSight™, permet d’observer la couverture nuageuse 24 heures sur 24, 7 jours sur 7, avec une précision stable et sans précédent. L’observation et la prévision de la couverture nuageuse, de jour comme de nuit, sont utiles pour plusieurs applications de recherche, telles que la modélisation météorologique à petite échelle, les relevés à long terme des processus locaux pour les études sur le changement climatique ou les alertes sur les événements du ciel. Diverses autres applications sont également concernées : prévision de la production électrique solaire à l’échelle de la minute, gestion du trafic aérien, communications optiques sol-satellite, etc.

• Acevedo Valencia, W., Kurzrock, F., Reinhardt, M., and Potthast, R.: Assimilation of atmospheric wind vectors retrieved via Optical flow algorithm and a thermal all-sky imager, EMS Annual Meeting 2022, Bonn, Germany, 5-9 Sep 2022, EMS2022-574, https://doi.org/10.5194/ems2022-574, 2022.
• Liandrat, O., Roussel, G., Bedoya-Velasquez A., Ceolato R., Cautru A., Decroix J., Schmutz N., A stereoscopic approach for cloud base height assessment over an optical ground station. In Free-Space Laser Communications XXXIV (11993-23). SPIE Photonics West, 22-27 January 2022, San Francisco, California, United States.
• Kurzrock, F., Boudreault, L.-E., Reinhardt, M., Schoger, S. Y., Potthast, R., Millerioux, Q., and Schmutz, N., Remote sensing of atmospheric winds using an infrared all-sky imager, European Geosciences Union General Assembly 2021, 19–30 Apr 2021, online, EGU21-8751, https://doi.org/10.5194/egusphere-egu21-8751
• Baidar S., Bonin T.A., Choukulkar A., Brewer W.A., Pichugina Y.L., Banta R.M., Lantz K., Sedlar J., Sauvage L., Liandrat O., Angevine W., Kenyon J., Olson J., Turner D.D., Doppler wind lidar observations of shallow cumulus clouds, 100th American Meteorological Society Annual Meeting, January 12-16, 2020, Boston, USA.
• Roussel G., Liandrat O., Boudreault L.-E., Cros S., Sauvage L., Cloud detection and cloud base height retrieval using a ground thermal-infrared all sky imager, International Symposium on Tropospheric Profiling, 20 – 24 May 2019, Toulouse, France.
• Roussel G., Liandrat O., Boudreault L-E., Cros S., Kurzrock F., Cloud base height retrieval from a ground-based thermal infrared all-sky imager, American Geophysical Union Fall Meeting, December 10-14, 2018, Washington, D.C., USA.
• Liandrat O., Braun A., Buessler E., Lafuma M., Cros S., Gomez A., Boudreault L-E., Sky-Imager Forecasting for Improved Management of a Hybrid Photovoltaic-Diesel System, 3rd International Hybrid Power Systems Workshops, 8-9 May 2018, Tenerife, Spain.
• Buessler E., Braun A., Liandrat O., Boudreault L-E., Cros S., Optimising the fuel consumption of a simulated hybrid photovoltaic-Diesel generator using solar irradiance forecast from a thermal infrared sky camera, 5th International Conference Energy & Meteorology, 22-24 May 2018, Shanghai, China.
• Liandrat O., Cros S., Braun A., Saint-Antonin L., Decroix J., Schmutz N., Cloud cover forecast from a ground-based all sky infrared thermal camera, Proc. SPIE 10424, Remote Sensing of Clouds and the Atmosphere XXII, 104240B (20 October 2017); doi: 10.1117/12.2278636
• Cros S., Liandrat, Braun A., Schmutz N., Very short-term solar power forecasting using a thermal infrared camera, 4th International Conference Energy & Meteorology, 27–29 June 2017, Bari, Italy.

En fonction des conditions météorologiques, la production d’électricité d’une centrale photovoltaïque (PV) est sujette à une forte variabilité et à des événements de rampe causés par le passage des nuages. La prévision de la production photovoltaïque à l’échelle minimale est un outil utile aux opérateurs de réseaux pour la gestion des centrales électriques. Les imageurs du ciel fonctionnant dans le spectre visible permettent de prévoir pendant la journée le rayonnement solaire, la production photovoltaïque et les événements de rampe. Nous évaluons les prévisions effectuées à l’aide de la SkyCam Vision de Reuniwatt, un imageur tout ciel qui observe les nuages et fournit des prévisions d’irradiance solaire utilisées pour le contrôle des centrales. Par exemple, le contrôle de l’allumage des groupes électrogènes diesel peut maximiser les économies de carburant grâce à l’intégration des prévisions dans les systèmes de gestion de l’énergie des centrales hybrides PV-Diesel.

• Boudreault L.-E., Mart T., Schmutz N., Driving the Unknown towards Fuel Economy with a Sky-Imager in a Hybrid PV-Diesel System, 37th European Photovoltaic Solar Energy Conference and Exhibition, 7-11 September 2020, Virtual Meeting.
• Boudreault L.-E., Liandrat O., Buessler E., Schmutz N., Fuel Consumption Decrease in Hybrid-Power Systems Using PV Power Monitoring and Forecast Solution, 36th European Photovoltaic Solar Energy Conference and Exhibition, 9-13 September 2019, Marseille, France.
• Boudreault L.-E., Kurzrock F., Liandrat O., Roussel G., Cros S., Performance evaluation metrics for very short-term PV forecasting, European Geosciences Union General Assembly 2019, 7-12 April 2019, Vienna, Austria. Vol. 21, pp.EGU2019-17324, 2019, Geophysical Research Abstracts.
• Nitche N., Trombe P-J., Cros S., Using cloud fraction derived from all-sky camera to improve beam solar irradiance forecasting by time-series modelling, 14th European Meteorological Society (EMS) Annual Meeting & 10th European Conference on Applied Climatology (ECAC), 6 -10 October 2014, Prague, Czech Republic.

De nombreuses applications sociétales et de recherche, telles que l’évaluation et la prévision du rayonnement solaire à la surface de la terre, nécessitent des prévisions précises de la nébulosité à court terme, à l’échelle du kilomètre et de l’heure. Les modèles de prévision numérique du temps (PNT) à aire limitée peuvent fournir de telles prévisions en simulant les nuages à des résolutions spatiales et temporelles élevées. Ces simulations permettent donc d’améliorer les prévisions d’énergie solaire et éolienne pour la journée. Cependant, la performance des prévisions au cours des 24-48 premières heures est fortement influencée par la précision des analyses des nuages et de la thermodynamique dans les conditions initiales. Notre objectif est d’améliorer les prévisions de la couverture nuageuse basées sur la PNT, en se concentrant sur les modèles à aire limitée et l’assimilation des données nuageuses.

• Reinhardt M., Schoger S.Y., Kurzrock F., Potthast R. (2023). Convective-scale Assimilation of Cloud Cover from Photographs using a Machine Learning Forward Operator. Artificial Intelligence for the Earth Systems 1-38. [https://doi.org/10.1175/AIES-D-22-0025.1](https://doi.org/10.1175/AIES-D-22-0025.1)
• Reinhardt M., Schoger S. Y., Kurzrock F., Acevedo W., Potthast R.: Assimilation of intelligent cloud observation, 13th International conference dynamical systems applied to biology and natural sciences (DSABNS), Bilbao, Spain, 8-11 February 2022.
• Reinhardt M., Kurzrock F., Acevedo W., Potthast R.: Data Assimilation of visible and infrared cloud observations from pictures, EMS Annual Meeting 2022, Bonn, Germany, 5-9 Sep 2022, EMS2022-39, https://doi.org/10.5194/ems2022-39, 2022.
• Kurzrock F., Hochebner A., Millerioux Q., Schmutz N., Reinhardt M., Acevedo W., Potthast R.: Hour-scale cloud cover forecasting using WRF and an infrared all-sky imager, EMS Annual Meeting 2022, Bonn, Germany, 5-9 Sep 2022, EMS2022-328, https://doi.org/10.5194/ems2022-328, 2022.
• Acevedo W., Reinhardt M., Kurzrock F., Schoger S. Y., Potthast R., Assimilating Sky Camera Cloud Information via Convolutional Neural Networks, Machine Learning and Data Assimilation for Dynamical Systems – International Conference on Computational Science, 21-23 June 2022, London, United Kingdom.
• Turpin M., Lallemand C., Kurzrock F., Schmutz N., Reanalysis models impact on clear sky solar irradiance models, 102nd American Meteorological Society Annual Meeting, 23-27 January 2022, Virtual Meeting.
• Reinhardt M., Schoger S. Y., Kurzrock F., Boudreault L-E., Potthast R., Intelligent Camera Cloud Operators for Convective Scale Numerical Weather Prediction, Machine Learning and Data Assimilation for Dynamical Systems – International Conference on Computational Science, 16-18 June 2021, Krakow, Poland.
• Kurzrock, F., 2019. Assimilation de données satellitaires pour la prévision numérique météorologique régionale appliquée à la prévision du rayonnement solaire du sol (Doctoral dissertation). Université de La Réunion.
• Kurzrock F., Nguyen H., Sauer J., Cros S., Chane Ming F., Linguet L., Lajoie G., Forecasting of solar irradiance at Reunion Island using numerical weather prediction models, European Geosciences Union General Assembly 2019, 7-12 April 2019, Vienna, Austria. Vol. 21, pp.EGU2019-12642, 2019, Geophysical Research Abstracts.
• Kurzrock, F., Nguyen, H., Sauer, J., Chane Ming, F., Cros, S., Smith Jr., W. L., Minnis, P., Palikonda, R., Jones, T. A., Lallemand, C., Linguet, L., Lajoie, G. (2019). Evaluation of WRF-DART (ARW v3.9.1.1 and DART Manhattan release) multiphase cloud water path assimilation for short-term solar irradiance forecasting in a tropical environment. Geoscientific Model Development, 12, 3939–3954. doi:10.5194/gmd-12-3939-2019
• Kurzrock F., Nguyen H., Sauer J., Cros S., Chane-Ming F., Linguet L., Lajoie G., Multi-Phase Cloud Water Path Assimilation Using WRF-DART for Short-Term Solar Irradiance Forecasting in the South-West Indian Ocean, American Geophysical Union Fall Meeting, December 10-14, 2018, Washington, D.C., USA.
• Kurzrock, F., Cros, S., Chane-Ming, F., Otkin, J. A., Hutt, A., Linguet, L., Lajoie, G., Potthast, R. (2018). A review of the use of geostationary satellite observations in regional-scale models for short-term cloud forecasting. Meteorologische Zeitschrift Vol. 27 No 4(2018), p.227-298. doi:10.1127/metz/2018/0904
• Kurzrock F., Cros S., Potthast R., Meteosat-8 radiance assimilation for solar irradiance forecasting using COSMO-KENDA over Reunion Island, EUMETSAT Meteorological Satellite Conference 2017, 2-6 October 2017, Rome, Italy.
• Kurzrock F., Cros S., Chane-Ming F., Linguet L., Potthast R., Lajoie G., Improving short-term irradiance forecasts in the tropics with ensemble data assimilation in limited-area models using Meteosat-8 IODC observations, EMS Annual meeting 2017, European Conference for Applied Meteorology and Climatology, 4-8 September 2017, Dublin, Ireland.
• Kurzrock F., Cros S., Sébastien N., Chane-Ming F., Linguet L., Potthast R., Lajoie G., The use of satellite data assimilation methods in regional NWP for solar irradiance forecasting, European Geosciences Union General Assembly 2016, Apr 2016, Vienna, Austria. Vol. 18, pp.EGU2016-15821-1, 2016, Geophysical Research Abstracts.
• Kurzrock F., Cros S., Chane-Ming F., Potthast R., Linguet L., Lajoie G., Satellite Data Assimilation in Regional Numerical Weather Prediction as a Key for Better Cloud Cover Forecasts in Tropical Environments, In Proceedings of the 32th European PV Solar Energy Conference, 20-24 June 2016, Munich, Germany.
• Kurzrock F., Cros S., Chane-Ming F., Potthast R., Linguet L., Lajoie G., Enhanced solar power forecasting in the tropics using satellite data assimilation, International Conference on Earth Observations and Societal Impacts 2016, June 26-28, Keelung, Taïwan.
• Sébastien N., Zanchetta P., Huet L., Nitche N., Cros S., Schmutz N., Day-ahead solar radiation forecasting using GFS and artificial neural networks, 15th European Meteorological Society (EMS) Annual Meeting & 12th European Conference on Applications of Meteorology (ECAM), September 7-11 2015, Sofia, Bulgaria.
• Diagne, M., David, M., Boland, J., Schmutz, N., Lauret, P. (2014), Post-processing of solar irradiance forecasts from WRF model at Reunion Island”, Solar Energy, 105, 99-108. doi:10.1016/j.solener.2014.03.016
• Lauret P., Diagne M-H., David M., A neural network post-processing approach to improving NWP solar radiation forecasts. ISES Solar World Congress (SWC), November 2013, Cancun, Mexico.
• Jolivet S., Sébastien N., Schmutz N., Combining NWP and expert system as a decision-making tool for photovoltaic production forecasting. International Conference for Energy Meteorology, 25-28 June 2013, Toulouse, France.
• Diagne M-H., David M., Boland J., Schmutz N., Lauret P., Post-processing of solar irradiance forecasts from WRF model at Reunion Island. ISES Solar World Congress (SWC), November 2013, Cancun, Mexico.

D’autres sujets de recherche sur lesquels Reuniwatt travaille incluent le machine learning, les prévisions météorologiques pour le marché de l’électricité, la modélisation du rayonnement solaire en ciel clair, et bien d’autres encore.

• Rivonirina J-M., Portafaix T., Rakotoniaina S., Desprairies G., Turpin M., Comparison of cloud cover detection from ground and satellite data in the Indian Ocean, EUMETSAT Meteorological Satellite Conference 2022, 19-23 September 2022, Brussels, Belgium.
• Ziad A., Giordano C., Aresta A., Aristidi E., Bailet C., Cavazzani S., Bertolin C., Berto F., Carbillet M., Ceus D., Charbonnel T., Delanoë J., Descloitres J., Fanteï-Caujolle Y., Gillioën A., Gonzales-Ramos Y., Irbah A., Jacqmart E., Le Kernec A., Liandrat O., Poulenard S., Riédi J., Schmutz N., Victori S., ANAtOLIA: a new mobile site-testing station for Astronomy and Optical Communications. SPIE Astronomical Telescopes + Instrumentation 2022, 17-22 July 2022, Montréal, Québec, Canada.
• Lepetit, M., Kurzrock, F., Aillaud, P., Sébastien N., Schmutz, N., Regional-scale day-ahead wind power forecasting using deep learning, European Geosciences Union General Assembly 2022, 23–27 May 2022, online, EGU22-6872.
• Aillaud P., Huet L., Lallemand C., Sébastien N., Schmutz N., Homogeneous ensemble deep learning for regional photovoltaic production forecast, 102nd American Meteorological Society Annual Meeting, 23-27 January 2022, Virtual Meeting.
• Roussel G., Turpin M., Bardout Y., Jubelin G. (2021). Adaptation of short-term cloud forecasting to global scale and evaluation of its contribution to Earth observing satellite planning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 12524-12535. doi:10.1109/JSTARS.2021.3126451
• P. Aillaud et al., “Mapping of Photovoltaic Deployment in Reunion Island from Aerial and Satellite Images using the DeepSolar Framework”, AGU 2020
• P. Aillaud et al., “Day-ahead forecasting of regional photovoltaic production using deep learning,” 2020 47th IEEE Photovoltaic Specialists Conference (PVSC), Calgary, OR, 2020, pp. 2688-2691, doi: 10.1109/PVSC45281.2020.9300538.
• Cadet, J.-M., Portafaix, T., Bencherif, H., Lamy, K., Brogniez, C., Auriol, F., Metzger, J.-M., Boudreault, L.-E., Wright, C. Y. (2020). Inter-Comparison Campaign of Solar UVR Instruments under Clear Sky Conditions at Reunion Island (21°S, 55°E). International Journal of Environmental Research and Public Health, 17, 2867. doi:10.3390/ijerph17082867
• Mathe J., Miolane N., Sébastien N., Lequeux J., PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic Power Forecasting from Numerical Weather Prediction, Climate Change: How Can AI Help?, ICML 2019 Workshop, June 14, 2019, Long Beach, California, USA.
• Sébastien N., Buessler E., Chaintreau E., Cros S., PV Integration and Storage Optimization for a Solar Farm on a Mall Rooftop in Reunion Island, 7th Solar Integration Workshop – International Workshop on Integration of Solar Power into Power Systems, October 24-25 2017, Berlin, Germany.
• Révillion, C., Peillet S., Cros S., Sébastien N., Brou T., Development of an operational tool for early detection of fire with new Indian Ocean Data Coverage Meteosat-8, Eumetsat Meteorological Conference 2017, 2-6 October 2017, Roma, Italy.
• Lallemand C., Turpin M., Cros S., Combination of satellite imagery and ground sensors to improve surface solar estimation: the e-space monitoring project, International Conference for Free and Open Source Software for Geospatial, August 16-18 2017, Boston, USA.
• Huet L., Intra-day and Day-ahead Forecasting for Energy Traders on European Markets, UVIG Forecasting Workshop and Tutorial – Applying Meteorology in Power System Planning and Operations, June 20-22 2017, Atlanta, GA, USA.
• Sébastien N., Lallemand C., Cros S., Kurzrock F., Schmutz N., Uveka: a UV exposure monitoring system using autonomous instruments network for Reunion Island citizens, European Geosciences Union General Assembly 2016, Apr 2016, Vienna, Austria. Vol. 18, pp.EGU2016-16482, 2016, Geophysical Research Abstracts.
• Cros S., Buessler E., Huet L., Sébastien N., Schmutz N., The benefits of intraday solar irradiance forecasting to adjust the day-ahead scheduled PV power, 5th Solar Integration Workshop – International Workshop on Integration of Solar Power into Power Systems, October 19-20 2015, Brussels, Belgium.
• Trombe P.-J. Cros S., David M., Huet L., Lauret P., Schmutz N., Short-Term Forecasting of Solar Irradiance: a Multiscale Approach, In Proceedings of the 29th European PV Solar Energy Conference, 22-26 September 2014, Amsterdam, The Netherlands.
• Cros S., Sébastien N., Liandrat O., Jolivet S., Schmutz N., Solar power forecasting for a massive and secure injection of photovoltaics on the grid, 4th Solar Integration Workshop – International Workshop on Integration of Solar Power into Power Systems, 10-11 November 2014, Berlin, Germany.
• Cros S., Liandrat O., Schmutz N., Advantages and drawbacks of a statistical clear-sky model: a case study with photovoltaic power production data, 14th European Meteorological Society (EMS) Annual Meeting & 10th European Conference on Applied Climatology (ECAC), 6 -10 October 2014, Prague, Czech Republic.
• Cros S., Bertin C., Lalire S., Schmutz N., PV Production Forecasts in a Tropical Environment: Cloud Regimes Identification in Reunion Island Using a Ground-Based Cloud Infrared Radiometer, In Proceedings of the 29th European PV Solar Energy Conference, 22 – 26 September 2014, Amsterdam, The Netherlands.
• Diagne M., David M., Lauret L., Boland J., Schmutz N., Review of solar irradiance forecasting methods and a proposition for small-scale insular grids. Renewable and Sustainable Energy Reviews, 27(0):65 – 76, 2013. doi:10.1016/j.rser.2013.06.042
• David M., Ramahatana Andriamasomanana F.H., Liandrat O., Spatial and temporal variability of PV output in an insular grid: Case of Reunion Island, ISES Solar World Congress (SWC), November 2013, Cancun, Mexico.
• Cros S., Liandrat O., Sébastien N., Schmutz N., Voyant C., Clear Sky Models Assessment for an Operational PV Production Forecasting Solution, In Proceedings of the 28th European PV Solar Energy Conference, 30th September – 4th October 2013, Paris, France.
• Cros S., Liandrat O., Schmutz N., Classification of typical meteorological days for the solar radiation forecast in a tropical environment, Second Workshop on Industry & Practices for Forecasting, WIPFOR’13, 5-7 June 2013, Paris, France.
• Lauret P., Rodler A., Muselli M., Diagne M., David M., Voyant C., A bayesian committee model approach to forecasting global solar radiation. In Proceedings of the World Renewable Energy Forum 2012 (WREF 2012), Denver, USA, May 2012.
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