Maritime decarbonization through machine learning: A critical systematic review of fuel and power prediction models

A vital component of decarbonization and operational optimization in the maritime industry is predicting ship propulsion power requirements and fuel consumption rates. This study systematically and critically reviews the application of machine learning (ML) in fuel and power estimation and predictio...

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Bibliographic Details

Published in:	Cleaner Logistics and Supply Chain
Main Authors:	Son Nguyen, Matthieu Gadel, Ke Wang, Jing Li, Xiaocai Zhang, Siang-Ching Kong, Xiuju Fu, Zheng Qin
Format:	Article
Language:	English
Published:	Elsevier 2025-03-01
Subjects:	Maritime transportation Maritime decarbonization Fuel consumption Power requirement Machine learning Literature review
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772390925000095