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Using machine learning methods for wind turbine power curve modeling
Wind turbine power curve modeling plays an important role in wind energy management. Accurate estimation of power curves can help reducing power systems maintenance costs. In this thesis, we use machine learning techniques ...
Parametric inversion of experimental electromagnetic imaging data using synthetically-trained neural networks
Electromagnetic imaging is a method that aims to reconstruct a spatial map of the material properties of a target through non-invasive measurements, allowing an observer to see inside objects, such as the human body, ...