Brevet d’invention

[1] R. Chauvin, J. Nou, S. Thil, S. Grieu, Système de mesure des composantes du rayonnement solaire, FR1758549, CNRS, 15 mars 2019.

Publication scientifique

[2] R. Chauvin, J. Nou, S. Thil, S. Grieu, System for measuring components of solar radiation, WO2019053232, CNRS, 21 mars 2019.

[3] R. Amaro e Silva, M. C. Brito, Impact of network layout and time resolution on spatio-temporal solar forecasting, Solar Energy 163 (2018) 329-337.

[4] A. Tascikaraoglu, Evaluation of spatio-temporal forecasting methods in various smart city applications, Renewable and Sustainable Energy Reviews 82 (1) (2018) 424-435.

[5] T. Schmidt, J. Kalisch, E. Lorenz, D. Heinemann, Evaluating the spatio-temporal performance of sky-imager-based solar irradiance analysis and forecasts, Atmospheric Chemistry and Physics 16 (2016) 3399-3412.

[6] A. Cazorla Cabrera, Development of a sky imager for cloud classification and aerosol characterization, Thèse de doctorat, Université de Grenade, Espagne, 2010.

[7] P. Kuhn, M. Wirtz, N. Killius, S. Wilbert, J. L. Bosch, N. Hanrieder, B. Nouri, J. Kleissl, L. Ramirez, M. Schroedter-Homscheidt, D. Heinemann, A. Kazantzidis, P. Blanc, R. Pitz-Paal, Benchmarking three low-cost, low-maintenance cloud height measurement systems and ECMWF cloud heights against a ceilometer, Solar Energy 168 (2018) 140-152.

[8] P. Blanc, P. Massip, A. Kazantzidis, P. Tzoumanikas, P. Kuhn, S. Wilbert, D. Schäler, C. Prahl, Short-term forecasting of high resolution local DNI maps with multiple fish-eye cameras in stereoscopic mode, AIP Conference Proceedings 1850 (1) (2017) 140004.

[9] P. Kuhn, S. Wilbert, D. Schäler, C. Prahl, T. Haase, L. Ramirez, L. Zarzalejo, A. Meyer, L. Vuilleumier, P. Blanc, J. Dubrana, A. Kazantzidis, M. Schroedter-Homscheidt, T. Hirsch, R. Pitz-Paal, Validation of spatially resolved all-sky imager derived DNI nowcasts, AIP Conference Proceedings 1850 (1) (2017) 140014.

[10] P. Kuhn, B. Nouri, S. Wilbert, C. Prahl, N. Kozonek, T. Schmidt, Z. Yasser, L. Ramirez, L. Zarzalejo, A. Meyer, L. Vuilleumier, D. Heinemann, P. Blanc and R. Pitz-Paal, Validation of an all-sky imager based nowcasting system for industrial PV plants, Progress in Photovoltaics 26 (8) (2018) 608-621.

[11] R. Chauvin, J. Nou, S. Thil, S. Grieu, Modelling the clear-sky intensity distribution using a sky imager, Solar Energy 119 (2015) 1-17.

[12] R. Chauvin, J. Nou, A. Traoré, S. Thil, S. Grieu, Intra-day DNI forecasting under clear sky conditions using ANFIS, IFAC Proceedings Volumes 47 (3) (2014) 10361-10366.

[13] J. Nou, R. Chauvin, S. Thil, J. Eynard, S. Grieu, Clear-sky irradiance model for real-time sky imager application, Energy Procedia 69 (2015) 1999-2008.

[14] R. Chauvin, J. Nou, S. Thil, A. Traoré, S. Grieu, Cloud detection methodology based on a sky-imaging system, Energy Procedia 69 (2015) 1970-1980.

[15] J. Nou, R. Chauvin, S. Thil, S. Grieu, A new approach to the real-time assessment of the clear-sky DNI, Applied Mathematical Modelling 40 (15-16) (2016) 7245-7264.

[16] A. Zaher, J. Nou, A. Traoré, S. Thil, S. Grieu, Comparative study of algorithms for cloud motion estimation using sky-imaging data, IFAC-PapersOnLine 50 (1) (2017) 5934-5939.

[17] R. Chauvin, J. Nou, S. Thil, S. Grieu, Generating high dynamic range images using a sky imager, IFAC-PapersOnLine 50 (1) (2017) 219-224.

[18] J. Nou, R. Chauvin, J. Eynard, S. Thil, S. Grieu, Towards the short-term forecasting of direct normal irradiance using a sky imager, IFAC-PapersOnLine 50 (1) (2017) 14137-14142.

[19] R. Chauvin, J. Nou, J. Eynard, S. Thil, S. Grieu, A new approach to the real-time assessment and intrahour forecasting of clear-sky direct normal irradiance, Solar Energy 167 (2018) 35-51.

[20] J. Nou, R. Chauvin, J. Eynard, S. Thil, S. Grieu, Towards the short-term forecasting of direct normal irradiance using sky-imaging data, Heliyon 4 (2018) e00598.

[21] H. Tolba, N. Dkhili, J. Nou, J. Eynard, S. Thil et S. Grieu, GHI forecasting using Gaussian process regression: a kernel study, IFACPapersOnLine 52 (4) (2019) 455-460.

[22] H. Tolba, N. Dkhili, J. Nou, J. Eynard, S. Thil et S. Grieu, GHI forecasting using Gaussian process regression, IFAC Workshop on Control of Smart Grid and Renewable Energy Systems, Jeju, Corée du Sud, 10-12 juin 2019.

[23] H. Tolba, N. Dkhili, J. Nou, J. Eynard, S. Thil et S. Grieu, Multi-horizon forecasting of global horizontal irradiance using online Gaussian process regression: a kernel study, Energies 13 (16) (Solar Forecasting and the Integration of Solar Generation to the Grid Special Issue) (2020) 4184.

[24] N. Dkhili, J. Eynard, S. Thil et S. Grieu, Comparative study between Gaussian process regression and long short-term memory neural networks for intraday grid load forecasting, 20th annual conference of the International Conference on Environmental and Electrical Engineering, Madrid, Espagne, 9-12 juin 2020. Dans : Conference Proceedings of the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), pp. 612-617.

[25] N. Dkhili, H. Tolba, J. Eynard, S. Thil et S. Grieu, Intraday load forecasting using Gaussian process regression for power distribution grid management. Dans : Proceedings of the 33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Osaka, Japon, 29 juin-3 juillet 2020, pp. 1593-1602.

[26] N. Dkhili, J. Eynard, S. Thil et S. Grieu, A survey of modelling and smart management tools for electrical grids with prolific distributed generation, Sustainable Energy, Grids and Networks 21 (2020) 100284.

[27] N. Dkhili, D. Salas, J. Eynard, S. Thil et S. Grieu, An application of model-based predictive control for renewables-intensive power distribution grids, 21st IFAC World Congress, Berlin, Allemagne, 12-17 juillet 2020.

[28] N. Dkhili, J. Eynard, S. Thil et S. Grieu, A model-based predictive control for power distribution grids with prolific distributed generation: a case study, 20th annual conference of the International Conference on Environmental and Electrical Engineering, Madrid, Espagne, 9-12 juin 2020. Dans : Conference Proceedings of the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), pp. 757-762.

[29] N. Dkhili, J. Eynard, S. Thil et S. Grieu, A flexible asset operation strategy for demand/supply balance in electrical distribution grids, 2019 IEEE International Conference on Environment and Electrical Engineering, Gênes, Italie, 11-14 juin 2019.

[30] S. Gbemou, H. Tolba, S. Thil et S. Grieu, GHI forecasting using online sparse Gaussian process regression based on quasiperiodic kernels, 2019 IEEE International Conference on Environment and Electrical Engineering, Gênes, Italie, 11-14 juin 2019.

[31] S. Gbémou, H. Tolba, J. Eynard, S. Thil et S. Grieu, Clustering and intraday forecasting of global horizontal Irradiance using machine learning methods. Dans : Proceedings of the 33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Osaka, Japon, 29 juin-3 juillet 2020, pp. 1225-1234.

[32] Y. Karout, J. Eynard, S. Thil et S. Grieu, A supervised machine learning approach for cloud/sky segmentation from sky-imaging data. Dans : Proceedings of the 33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Osaka, Japon, 29 juin-3 juillet 2020, pp. 1247-1257.