Presenters and Speakers
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ProceedingsProgrammeTechnical & Scientific ProgrammeSpeakersPostersContent partnersSafety, Skills & Training ZoneInnovation ParkProgramme Committees & Abstract ReviewersGlobal Markets TheatreFlorian Hammer
![](https://proceedings.windeurope.org/ElectricCity2021/portal/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYm89IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d91119d7c8912a569cf8f9633c93725057ca3e85/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaDdDVG9MWm05eWJXRjBTU0lJYW5CbkJqb0dSVlE2RG5Sb2RXMWlibUZwYkVraURUUXdNSGcwTURCZUJqc0dWRG9NWjNKaGRtbDBlVWtpQ201dmNuUm9CanNHVkRvTFpYaDBaVzUwU1NJTU5EQXdlRFF3TUFZN0JsUT0iLCJleHAiOm51bGwsInB1ciI6InZhcmlhdGlvbiJ9fQ==--471021b7f1604f5e56f017d94068f49149084065/florian-hammer-ost-eastern-switzerland-university-of-applied-sciences.jpg)
Research Scientist, OST - Eastern Switzerland University of Applied Sciences
Biography
Mr. Hammer is currently working as a research scientist in the wind energy group at the Eastern Switzerland University of Applied Sciences. He studied mechanical engineering in Germany and has a PhD in Computational Fluid Dynamics from the University of Southampton, England. His research focus is on applying data science and machine learning techniques within the field of wind energy.Presentations
- Increasing turbine output onshore
Transferability of site-dependent wind turbine performance predictions using machine learning