Výsledky vyhledávání - "Mauricio Fragoso"

High-resolution offshore wind resource assessment at turbine hub height with Sentinel-1 synthetic aperture radar (SAR) data and machine learning

Autor: Louis de Montera, Henrick Berger, Romain Husson, Pascal Appelghem, Laurent Guerlou, Mauricio Fragoso

Publikováno v: Wind Energy Science. 7:1441-1453

This paper presents a method for estimating offshore extractable wind power at hub height using Sentinel-1 synthetic aperture radar (SAR) data and machine learning. The method was tested in two areas off the Dutch coast, where measurements from Doppl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f32e0e82a8c7902cb2faf7e0630b2e8
https://doi.org/10.5194/wes-7-1441-2022

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Estimation of Wind Resource Assessment at High-Resolution Using SAR Observations, Validated with Lidar Measurements

Autor: Marie Cathelain, Romain Husson, Henrick Berger, Mauricio Fragoso

Publikováno v: Day 3 Wed, May 03, 2023.

The 18-year database of Envisat & Sentinel 1A-1B Synthetic Aperture Radar (SAR) provides worldwide surface wind measurements at a 1-km resolution. Through an innovative vertical extrapolation methodology published in 2022, these long-term, wide, and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3690efb25da8a3c0f8bec870061b802f
https://doi.org/10.4043/32164-ms

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Satellite Observations for Better Characterization of Sea Surface Wind Field and Offshore Wind Energy Resource Assessment

Autor: Henrick Berger, Gaetan Fabritius, Laurent Guerlou, Mauricio Fragoso, Romain Husson, Pascal Appelghem, Louis de Montera

Publikováno v: Day 2 Tue, August 17, 2021.

This paper presents a method to generate maps of offshore wind power at turbine hub height from spaceborne Synthetic Aperture Radar (SAR) data. Two techniques based on machine learning are presented. The first can be trained with metocean buoys and t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d1a13c9e08747445c8f2d57e4464560f
https://doi.org/10.4043/31316-ms

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SAR Surface Wind Estimation and Extrapolation at Turbine Hub Height with Machine Learning for Offshore Wind Farm Siting

Autor: Romain Husson, Mauricio Fragoso, Henrick Berger, Pascal Appelghem, Laurent Guerlou, L. de Montera

Publikováno v: IGARSS

This paper presents a method to generate maps of offshore wind power at turbine hub height from spaceborne SAR data. Two techniques based on machine learning are presented. The first one can be trained with metocean buoys and the second one, more pre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c84d9312a6cb01ef9b49a955e951e699
https://doi.org/10.1109/igarss47720.2021.9553809

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High-resolution offshore wind resource assessment at turbine hub height with Sentinel-1 SAR data and machine learning

Autor: Romain Husson, Mauricio Fragoso, Henrick Berger, Laurent Guerlou, Pascal Appelghem, Louis de Montera

This paper presents a method to calculate offshore wind power at turbine hub height from Sentinel-1 Synthetic Aperture Radar (SAR) data using machine learning. The method is tested in two 70 km × 70 km areas off the Dutch coast where Lidar m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89e16f56bbd42bedbc400eaa424b7b7d
https://doi.org/10.5194/wes-2021-35

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