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Abstract
In recent years, port operators have shown an increasing interest in developing innovative automatic learning techniques, to provide complete predictive packages for safety and efficiency systems, trained and calibrated with field database. Another relevant aspect in these kinds of projects is to determine the long wave influence. The port-ship resonance, due to the coincidence between the long wave periods and the ship horizontal motions, causes downtimes with consequent economic losses. The Port Authority of A Coruña (Spain) started years ago to work towards the application of Artificial Intelligence, providing Machine Learning-based models in their facilities of its Outer Port of Punta Langosteira, together with the University of A Coruña. The main objective was to provide a system to predict operability and overtopping with the forecast of maritime climate information.References
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Copyright (c) 2023 Andrés Figuero, Enrique Peña, José Sande, Raquel Costas, Humberto Carro, Alberto Alvarellos, Juan Rabuñal, Andrés Guerra, Juan Diego Pérez