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We developed the Kalman filter and Recurrent Neural Network based yaw calibrator without Lidar for the wind turbine.
Contact us about this solution.
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.
Contact us about Wecv’s investment and support.
We focus on developing and providing intelligent entities based on deep learning and simulated/quantum annealing for individuals and small businesses with specific and small-scale data or prior knowledge. Additionally, we develop custom AI copilots using open LLMs like LLama3 and Mixtral for businesses requiring information security.
Please inquire about intelligent entity development and open LLM-based AI copilot development requests.