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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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Cleaner Logistics and Supply Chain |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772390925000095 |
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