首页|Uppsala University Researchers Highlight Recent Research in Machine Learning (Ma chine learning methods to improve spatial predictions of coastal wind speed prof iles and low-level jets using single-level ERA5 data)
Uppsala University Researchers Highlight Recent Research in Machine Learning (Ma chine learning methods to improve spatial predictions of coastal wind speed prof iles and low-level jets using single-level ERA5 data)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting originating from Uppsala , Sweden, by NewsRx correspondents, research stated, “Observationsof the wind s peed at heights relevant for wind power are sparse, especially offshore, but wit h emerging aidfrom advanced statistical methods, it may be possible to derive i nformation regarding wind profiles usingsurface observations. In this study, tw o machine learning (ML) methods are developed for predictionsof (1) coastal win d speed profiles and (2) low-level jets (LLJs) at three locations of high releva nce tooffshore wind energy deployment: the US Northeastern Atlantic Coastal Zon e, the North Sea, and theBaltic Sea.”
Uppsala UniversityUppsalaSwedenEur opeCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
