Data-Driven Wind Turbine Power Anomaly Detection Using SCADA

In the light of global need for renewable energy, wind energy plays a crucial role. Today, the majority of wind turbines are still being built on land. Given this critical role, accurate monitoring methods are needed to fully understand the performance within wind farms. This thesis aims to create a methodology to evaluate the power performance...

Data-driven optimal control for safe quadrotor navigation in windy environments

Creating autonomous Micro Aerial Vehicles for executing complex missions poses various challenges, including safe navigation in the presence of external wind disturbances. Most current navigation methods handle external wind disturbances through real-time estimation and rejection algorithms in the control stage, but lack safety guarantees in...