Ann: Tank Testing Commenced to Validate Carnegies Wave Predictor, page-5

From 13 March 2020 announcement:

1) Wave Predictor - A machine learning (ML) based wave predictor that can predict the key characteristics of waves 30 seconds into the future. This provides data that can be used to determine the forces that will be applied to the CETO Unit in the next step, the Wave Solver.

2) Wave Solver - An ML based hydrodynamic solver which utilises the output of the Wave Predictor to compute the hydrodynamic forces applied by the waves on the system in real time. This provides data that can be used by the next step, the Wave Controller, to decide how the CETO device should react to upcoming waves in order to maximise power production.

3) Wave Controller - An ML based intelligent controller, which utilises the outputs of the Wave Solver to optimally control the power take off (PTO) and maximise aCETO Unit’s energy capture.

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In addition, of interest is how and whether the wave predictor will be utilised by other parties.