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We developed the Kalman filter and Recurrent Neural Network based yaw calibrator without Lidar for the wind turbine.
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We are testing Wecv (self-learning yaw misalignment control entity). Wecv is expected to able to completely automate yaw controlling including the assembly angle error without Lidar via self-learning for very complicated metocean conditions in offshore.
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We focus on providing deep learning and simulated/quantum annealing based intelligent entities for individuals and small business owners having their specific & small data or prior knowledge.
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