A new power prediction method using ship in-service data: a case study on a general cargo ship
Journal article, 2023
artificial neural networks (ANN)
Power prediction
GHG emission
in-service data
ship performance
Author
Ehsan Esmailian
Kumera Marine AS (Hjelseth)
Norwegian University of Science and Technology (NTNU)
Youngrong Kim
Norwegian University of Science and Technology (NTNU)
Chalmers, Mechanics and Maritime Sciences (M2), Maritime Studies
S. Steen
Norwegian University of Science and Technology (NTNU)
Kourosh Koushan
SINTEF Ocean
Norwegian University of Science and Technology (NTNU)
Ship Technology Research
0937-7255 (ISSN) 20567111 (eISSN)
Vol. In PressSubject Categories
Energy Engineering
Vehicle Engineering
Marine Engineering
DOI
10.1080/09377255.2023.2275378