täiskirje prindi

AI-based surrogate model for the prediction of ship fuel consumption reflecting hydrometeorological conditions

autor
vastutusandmed
Mingyang Zhang, Nikolaos Tsoulakos, Pentti Kujala, Spyros Hirdaris
allikas
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE 2024 ; vol. 9
kirjastus/väljaandja
ilmumisaasta
leheküljed
OMAE2024-121992, V009T13A016 ; 11 pages
konverentsi nimetus, aeg
ASME 2024 : 43rd International Conference on Ocean, Offshore and Arctic Engineering, June 9–14, 2024
konverentsi toimumispaik
Singapore, Singapore
leitav
ISBN
978-0-7918-8787-5
märkused
Bibliogr.: 19 ref
Volume 9: Philip Liu Honoring Symposium on Water Wave Mechanics and Hydrodynamics; Blue Economy Symposium
teaduspublikatsioon
teaduspublikatsioon
TTÜ struktuuriüksus
keel
inglise
märksõna
võtmesõna
ship fuel consumption
artificial intelligence (AI)
deep learning method
ship systems
Zhang, M., Tsoulakos, N., Kujala, P., Hirdaris, S. AI-based surrogate model for the prediction of ship fuel consumption reflecting hydrometeorological conditions // Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE 2024 ; vol. 9. : American Society of Mechanical Engineers (ASME), 2024. OMAE2024-121992, V009T13A016 ; 11 pages. https://doi.org/10.1115/OMAE2024-121992