Application of transfer learning on physics-based models to enhance vessel shaft power predictions

International shipping must reduce its emissions to meet global targets, with improving energy efficiency being a crucial step in this journey. Predictive models are essential for implementing energy efficiency measures such as weather routing, scheduling of hull cleanings, and just-in-time arrival,...

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Vydáno v:	Ocean engineering Ročník 323; s. 120540
Hlavní autoři:	Mavroudis, Stamatis, Tinga, Tiedo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.04.2025
Témata:	Machine learning Operational efficiency Physics-based models Shaft power prediction Transfer learning Vessel performance Physics-based models Shaft power prediction Vessel performance Operational efficiency Transfer learning Machine learning
ISSN:	0029-8018
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