AI-based surrogate model for the prediction of ship fuel consumption reflecting hydrometeorological conditions
author
Zhang, Mingyang
Tsoulakos, Nikolaos
Kujala, Pentti Jouko Sakari
Hirdaris, Spyros
statement of authorship
Mingyang Zhang, Nikolaos Tsoulakos, Pentti Kujala, Spyros Hirdaris
source
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE 2024 ; vol. 9
publisher
American Society of Mechanical Engineers (ASME)
year of publication
2024
pages
OMAE2024-121992, V009T13A016 ; 11 pages
conference name, date
ASME 2024 : 43rd International Conference on Ocean, Offshore and Arctic Engineering, June 9–14, 2024
conference location
Singapore, Singapore
url
https://doi.org/10.1115/OMAE2024-121992
subject term
laevad
tehisintellekt
sügavõpe
mudelprojekteerimine
keyword
ship fuel consumption
artificial intelligence (AI)
deep learning method
ship systems
ISBN
978-0-7918-8787-5
notes
Bibliogr.: 19 ref
Volume 9: Philip Liu Honoring Symposium on Water Wave Mechanics and Hydrodynamics; Blue Economy Symposium
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Eesti Mereakadeemia
language
inglise