Roberto Castello

EPFL SDSC
INN 218 (Bâtiment INN)
Station 14
CH-1015 Lausanne

Web site: Web site: https://www.datascience.ch

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Administrative data

Fields of expertise

Applied Machine Learning and Big Data analytics for the built environment and renewable energy, Urban and building physics simulation, Statistical methods, Geographic Information System

Publications

Infoscience publications

Other publications

Teaching & PhD

Supervised students

  • Mr Lorenzo Donadio (EPFL and Eindhoven University of Technology), Temporal hierarchical forecasting of energy consumption in office buildings
  • Mr Romain Sibuet (HES-SO Geneva), Optimization of a hybrid solar-geothermal energy system potential at building scale
  • Ms Xu Ge (Technical University of Denmark - DTU), Spatio-temporal relationship between land cover and Land Surface Temperature in urban areas
  • Ms Dan Chai (EPFL), Automatic detection of rooftop solar installations in the built environment and its validation on the EPFL campus
  • Mr Giovanni Mori (University of Bolzano), Geospatial analysis and optimization of the incoming and stored CO2 emissions within the EPFL campus