Energy Engineer from the Federal University of Pampa (Unipampa) and Master in Energy Engineering from the University of the Republic (UdelaR, Uruguay). He has experience in the operational implementation of probabilistic models for forecasting wind power generation and in the use of machine learning techniques applied to the operation of wind farms. From 2017 to 2024 he was part of the group responsible (IMFIA/FING) for the operational forecasts of wind farms located in Uruguay, which are used by the electricity company UTE to dispatch energy in the national interconnected system (SIN) and in decision-making for exporting energy to neighboring countries (Brazil and Argentina). His main line of work is the development of hybrid models (numerical and machine learning) for multipurpose probabilistic forecasting (ensembles) applied to the electricity system. He has experience using the Global Forecast System (GFS), the European Center for Medium-Range Weather Forecasts (ECMWF), the Icosahedral Nonhydrostatic Weather and Climate Model (ICON) and the Weather Research and Forecasting (WRF). He also has experience using data analysis and processing tools such as Octave, CDO and the Python programming language.
Energy Engineer from the Federal University of Pampa (Unipampa) and Master in Energy Engineering from the University of the Republic (UdelaR, Uruguay). He has experience in the operational implementation of probabilistic models for forecasting wind power generation and in the use of machine learning techniques applied to the operation of wind farms. From 2017 to 2024 he was part of the group responsible (IMFIA/FING) for the operational forecasts of wind farms located in Uruguay, which are used by the electricity company UTE to dispatch energy in the national interconnected system (SIN) and in decision-making for exporting energy to neighboring countries (Brazil and Argentina). His main line of work is the development of hybrid models (numerical and machine learning) for multipurpose probabilistic forecasting (ensembles) applied to the electricity system. He has experience using the Global Forecast System (GFS), the European Center for Medium-Range Weather Forecasts (ECMWF), the Icosahedral Nonhydrostatic Weather and Climate Model (ICON) and the Weather Research and Forecasting (WRF). He also has experience using data analysis and processing tools such as Octave, CDO and the Python programming language.