Yaw misalignment calibrator.

The power of a wind turbine can be optimized via calibrating yaw misalignment dynamically. In contrast with previous analytical and statistical rule-based models to calibrate yaw misalignment, using a deep learning based yaw misalignment calibrating model, yaw misalignment could be more accurately calibrated and then, the power can also be more optimized, because via the deep learning, direct factors to affect yaw misalignment are obtained and such direct factors calculate more accurate yaw misalignment. So without Lidar, only with the wind vane, yaw misalignment calibration can be conducted.