Machine learning viability modelling of vertical-axis wind turbines

Sébastien Le Fouest and an experimental VAWT blade © Alain Herzog CC BY SA. By Celia Luterbacher EPFL researchers have used a genetic learning algorithm to identify optimal pitch profiles for the blades of vertical-axis wind turbines, which despite their high energy potential, have until now been vulnerable to strong gusts of wind. If you […]

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