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Generation and validation of spatial distribution of hourly wind speed time-series using machine-learning

Stefano Grassi ETH Zurich, Switzerland GENERATION AND VALIDATION OF SPATIAL DISTRIBUTION OF HOURLY WIND SPEED TIME-SERIES USING MACHINE-LEARNING Abstract ID: 195  Poster code: PO.221 | Download poster: PDF file (0.51 MB) | Full paper not available

Presenter's biography

Biographies are supplied directly by presenters at WindEurope 2016 and are published here unedited

Dr. Grassi has been working in renewable energy industry for more than 10 years and leading research in wind energy at ETH since 2009. He is currently Postdoctoral Researcher at ETH in geoinformation-engineering. He studied environmental engineering at the University of Brescia and Energy management and Policy at the Mines ParisTech in Paris. After his graduation he spent some years as project designer of hydro and biomass power plants in Italy. After a second Master in Paris he moved to Switzerland leading research in spatial planning and modelling in the field of wind and solar energy.

Abstract

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