Basic design routine for domestic wind turbine design
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Updated
Nov 9, 2021 - Python
Basic design routine for domestic wind turbine design
A simple Machine Learning project for modelling all the setup of a wind turbine through several regression problems, from Engie's public dataset.
Provides Home Assistant sensors for multiple wind turbines from the Windcentrale
My master's dissertation on wind turbine fault prediction using machine learning
Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.
Simulation of High Aspect Ratio aeroplanes and wind turbines in Python: a nonlinear aeroelastic code
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