Fernandez, engineer temporary contract (2015-2016) on data assimilation techniques. internship (2017) on bayesian estimation of water content using LAI observations and crop models. internship (2019) on cattle phenotyping by solving inverse problem and simulation. WACS: a R package that provides multivariate weather generator for daily climate variables.), graphical user interfaces (library QT) and ports to other languages (R, python). I develop modeling extensions (discrete-time models, ordinary differential equations), modeling techniques (Ensemble Kalman Filter, DIRECT global optimization. VLE: a multi-modelling and simulation platform, coded in C++, based on the DEVS formalism.I'm part of the integrator teams of the following softwares: INRA Toulouse - MIAT unit (office C8 105), chemin de Borde-Rouge - BP 52627, 31326 Castanet-Tolosan Cedex, France.The techniques involved were essentially classification rules learning and inductive logic programming. Pesticide use in a little catchment area in Brittany, France, considering occurences of surface water contaminations. Optimized rules for decision support and to extract recurrent patterns from simulation results. Techniques involved where reinforcement learning (into a Markovian Decision Process framework) and global DIRECTĭuring my PhD (2004-2008), I worked on symbolic learning techniques (from the field of artificial intelligence) to provide the possibility to estimate soil water content by model inversion.ĭuring my post-doctoral position (2008-2011), I worked on modelisation based design of cultural practices.the assimilation of LAI (Leaf Area Index) observations based on remote sensing techniques, into a sunflower crop model.The goal is to conceive virtual crop varieties in specific conditions (soil, location. the question of ideotype conception by using a crop model based optimization.the impact of climatic data on crop models, using formal sensitivity analysis algorithms.(Discrete Event System Specification) framework.Ĭurrently, I implement these techniques to study: Interested in formalisms for modelisation and simulation of complex systems, particularly in the DEVS Sensitivity analysis, model inversion, bayesian estimation, data assimilation, meta-modeling and multi-objective optimization. Of modelisation to study agro-environmental systems, from the crop scale to the catchment area. More precisely I rely on advanced techniques I currently work on the simulation and the exploration of agro-environmental models. 2002-2004: Student at INSA, a French engineering school at Rennes, France.2004-2004: Master of Science in Artificial Intelligence at University of Rennes, France.2004-2008: PhD student at INRIA (French Institute for Research in Computer Science and Automation) in Rennes, France.2008-2011: Post doctoral position at INRA, MIAT in Toulouse, France.I'm currently part of the RECORD project team. 2011-now : Research engineer at INRAE (French National Institute for Agriculture, Food and Environment), in laboratory MIAT in Toulouse, France.ESTI is an ISO 17025 accredited photovoltaic calibration laboratory for all photovoltaic materials.ĭisclaimer: The designations employed and the presentation of material on the PVGIS maps do not imply the expression of any opinion whatsoever on the part of the European Union concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The energy yield model is validated from measurements performed on commercial modules at the JRC’s European Solar Test Installation (ESTI). PVGIS uses high-quality solar radiation data obtained from satellite images, as well as ambient temperature and wind speed from climate reanalysis models. PVMAPS, a software suite for users to make customised maps.Maps of solar resource and PV potential, by country or region, in ready to print files.TMY data for nine climatic variables, formatted for building energy calculation tools.Full time series of hourly values of both solar radiation and PV performance.Solar radiation and temperature, as monthly averages or daily profiles.PV electricity generation potential for different technologies and configurations.First time user? Check out the Getting started section.For the supporting documentation see the links at the bottom of this page.The default language is English, but French, Italian, Spanish and German are also available.PVGIS provides information about solar radiation and photovoltaic (PV) system performance for any location in Europe and Africa, as well as a large part of Asia and America.
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