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CT has presented the groundbreaking AWES Industry Centre of Excellence in La Gomera at a prominent event to promote R&D+i projects on the island.
Read moreEcoMobility: CT develops predictive digital twin for road traffic in smart cities.
Using machine learning technology, the CT team trains decision-making models for vehicles and people, allowing the digital twin to autonomously make decisions in real time, as if it were a human mind.
Read moreCT has completed the IADGENOL project on automating AWE System trajectories using deep learning.
After two years of research, CT has successfully developed a Deep Learning-based control model that addresses the dynamic challenges of autonomous AWE system operations. In collaboration with Carlos III University of Madrid, CT showcased the results of the latest validation tests in a simulation environment for the AWES control system at the European AWES Congress, AWEC2024, in Madrid, demonstrating precise wind alignment and optimal energy generation trajectories.
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