Misalignment in wind turbines can lead to significant energy losses, with studies indicating a median mispointing of six degrees. By leveraging neural network models, the aim is to recalibrate turbines and enhance their efficiency. Additionally, integrating turbine data with advanced weather models addresses the inherent variability in renewable energy production, ensuring a more stable supply to the electrical grid.
