Stéphane THIL
Présentation
Publications
Publications
|
|
Model-based predictive control of a solar reactorSOLARPACES 2022 - 28th International Conference on Concentrating Solar Power and Chemical Energy Systems Solar Fuels and Chemical Commodities, Sep 2022, Albuquerque (NM), United States. ⟨10.52825/solarpaces.v1i.647⟩ |
|
|
Intrahour Direct Normal Irradiance Forecasting Based on Sky Image Processing and Time-Series AnalysisSolarPACES 2022, Sep 2022, Albuquerque, United States. ⟨10.52825/solarpaces.v1i.648⟩ |
|
|
ATTÉNUATION RADIO-INDUITE DE FIBRES DOPÉES ALUMINIUM IRRADIÉES AUX RAYONS GAMMAOPTIQUE Nice 2022, Société Française d'Optique, Jul 2022, Nice, France |
Model-based Predictive Control of a Solar Reactor Dedicated to Syngas ProductionSOLARPACES, Sep 2022, Albuquerque, United States |
|
|
|
Investigation of aluminum doped and aluminum thulium co-doped optical fibers for gamma radiation measurements27th International Conference on Optical Fiber Sensors, Aug 2022, Alexandria, United States. ⟨10.1364/OFS.2022.Tu2.5⟩ |
|
|
Caractérisation et localisation de l'endommagement dans les matériaux sous contrainte thermique : application de l'émission acoustiqueCongrès Annuel de la Société Française de Thermique 2022., Société Française de Thermique, May 2022, Valenciennes, France. ⟨10.25855/SFT2022-041⟩ |
Comparative Study between Gaussian Process Regression and Long Short-Term Memory Neural Networks for Intraday Grid Load ForecastingInternational Conference on Environment and Electrical Engineering (EEEIC) 2020, Jun 2020, Madrid, Spain. pp.1--6, ⟨10.1109/EEEIC/ICPSEurope49358.2020.9160537⟩ |
|
A Model-Based Predictive Control for Power Distribution Grids with Prolific Distributed Generation: A Case StudyInternational Conference on Environment and Electrical Engineering (EEEIC) 2020, Jun 2020, Madrid, Spain. pp.1--6, ⟨10.1109/EEEIC/ICPSEurope49358.2020.9160741⟩ |
|
A Flexible Asset Operation Strategy for Demand/Supply Balance in Electrical Distribution GridsInternational Conference on Environment and Electrical Engineering (EEEIC) 2019, Jun 2019, Genova, Italy. pp.1--6, ⟨10.1109/EEEIC.2019.8783243⟩ |
|
Global Horizontal Irradiance Forecasting Using Online Sparse Gaussian Process Regression Based on Quasiperiodic KernelsInternational Conference on Environment and Electrical Engineering (EEEIC) 2019, Jun 2019, Genova, Italy. pp.1--6, ⟨10.1109/EEEIC.2019.8783653⟩ |
|
|
|
GHI forecasting using Gaussian process regressionIFAC Workshop on Control of Smart Grid and Renewable Energy Systems, Jun 2019, Jeju, South Korea |
|
|
Short-term DNI forecasting using a sky imager22nd SolarPACES Conference, Oct 2016, Abu Dhabi, United Arab Emirates |
|
|
A new approach for assessing the clear-sky direct normal irradiance in real time17th International Conference on Environment and Electrical Engineering (IEEE EEEIC), Jun 2016, Florence, Italy. ⟨10.1109/EEEIC.2016.7555435⟩ |
Atmospheric Properties Measurement Using Sky Images10th SFERA-SOLLAB Doctoral Colloquium on Solar Concentrating Technologies, Jun 2014, Odeillo, France |
|
|
|
Intra-Day Direct Normal Irradiance Forecasting Under Clear Sky Conditions Using ANFIS19th IFAC World Congress, Aug 2014, Cape Town, South Africa |
|
|
Black-box modeling of buildings thermal behavior using system identification19th IFAC World Congress, Aug 2014, Cape Town, South Africa. ⟨10.3182/20140824-6-ZA-1003.01519⟩ |
|
|
Modelling of a multi-zone building and assessment of its thermal behaviour using an energy simulation software2013 IEEE International Conference on Automation Science and Engineering (CASE 2013), Aug 2013, Madison, WI, United States. pp.735-740, ⟨10.1109/CoASE.2013.6653981⟩ |
|
|
Survey of analytical IV estimates for errors-in-variables model identification18th IFAC World Congress, IFAC WC'2011, Aug 2011, Milan, Italy. pp.13098-13103 |
|
|
On instrumental variable-based methods for errors-in-variables model identification17th IFAC World Congress, 2008, Seoul, South Korea. pp.426-431, ⟨10.3182/20080706-5-KR-1001.0843⟩ |
|
|
Statistical Analysis of a Third-Order Cumulants Based Algorithm for Discrete-Time Errors-in-Variables Identification17th IFAC World Congress, Jul 2008, Seoul, South Korea. pp.420-425, ⟨10.3182/20080706-5-KR-1001.0342⟩ |
|
|
Continuous--time model identification from noisy input/output measurements using fourth--order cumulants46th IEEE Conference on Decision and Control, CDC'07, Dec 2007, New Orleans, United States. pp.CDROM |
|
|
Data-based continuous-time modelling of environmental systems5ème conférence STIC & Environnement, Nov 2007, Lyon, France. pp.CDROM |
Une méthode pour l'identification de modèles à temps continu dans un contexte erreurs--en--les--variables.Groupe de Travail Identification du GDR MACS, Jun 2006, Paris, France |
|
|
|
Une méthode pour l'identification de modèles à temps continu dans un contexte erreurs-en-les-variablesConférence Internationale Francophone d'Automatique, CIFA'2006, May 2006, Bordeaux, France. pp.CDROM |
|
|
A cumulant statistics-based method for continuous-time errors-in-variables model identification4th International Workshop on Total Least Squares and Errors-in-variables Modeling, Aug 2006, Leuven, Belgium |
|
|
A bayesian approach to closed-loop system identification16th IFAC World Congress, Jul 2005, Prague, Czech Republic. pp.CD-ROM |
|
|
Méthodes de compensation de biais pour l'identification de modèles erreurs-en-les-variablesJournées Doctorales / Journées Nationales MACS, Sep 2005, Lyon, France. pp.CD-ROM |
|
|
Comparison of the thermomechanical performance of tubular absorber geometries for CSP30th SolarPACES Conference, Oct 2024, Roma, Italy |
|
|
Model-based predictive control of a solar reactor dedicated to syngas productionSOLARPACES 2022, Sep 2022, Albuquerque (Nouveau Mexique), United States |
Solar Resource Management, Assessment and ForecastingConcentrating Solar Thermal Energy: Fundamentals and Applications, Wiley, pp.45-84, 2022, 9781394169702. ⟨10.1002/9781394169702.ch2⟩ |
|
|
Contributions à l'identification de modèles avec des erreurs en les variablesAutre. Université Henri Poincaré - Nancy 1, 2007. Français. ⟨NNT : 2007NAN10090⟩ |
|
|
Contributions à l'identification de modèles avec des erreurs en les variablesSciences de l'ingénieur [physics]. Université Henri Poincaré - Nancy I, 2007. Français. ⟨NNT : ⟩ |