Machine Wind
Fast aerodynamic models for offshore wind-farm optimisation using machine learning.
Period: 2024–2028
Programme: Akademiavtale
Total funding: approximately NOK 7 million
Machine Wind develops fast aerodynamic models for the optimal design and operation of offshore wind farms using supervised machine learning.
My role is co-designer and co-PI, contributing expertise in atmospheric turbulence and helping integrate realistic turbulence effects into the aerodynamic modelling framework.