Feb. 14, 2022, 2:11 a.m. | Túlio Marcondes Moreira, Jackson Geraldo de Faria Jr, Pedro O.S. Vaz-de-Melo, Gilberto Medeiros-Ribeiro

cs.LG updates on arXiv.org arxiv.org

In this work, an AI-Driven (autonomous) model representation of the La Rance
tidal barrage was developed using novel parametrisation and Deep Reinforcement
Learning (DRL) techniques. Our model results were validated with experimental
measurements, yielding the first Tidal Range Structure (TRS) model validated
against a constructed tidal barrage and made available to academics. In order
to proper model La Rance, parametrisation methodologies were developed for
simulating (i) turbines (in pumping and power generation modes), (ii)
transition ramp functions (for opening and …

ai arxiv case study development la study validation

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