FOWT-ML

FOWT-ML is a generic machine learning toolkit developed for Hyrbid testing of Floating Offshore Wind Turbines (FOWTs). It provides a set of tools and algorithms to facilitate reaserch on machine learning techniques (specifically multi-output regressions) for real-time hybrid testing setups in wind tunnels or wave basins.

The package is designed to be flexible and extensible, allowing users to customize and adapt it to their specific needs and requirements. It includes various machine learning algorithms from linear regression to neural networks, as well as tools for data preprocessing, model evaluation and comparison, and model publication.