Forecasting and Feature Analysis of Ship Fuel Consumption by Explainable Machine Learning Approaches
Rising shipping emissions greatly affect greenhouse gas (GHG) levels, so precise fuel consumption forecasting is essential to reduce environmental effects. Precision forecasts using machine learning (ML) could offer sophisticated solutions that increase the fuel efficiency and lower emissions. Indee...
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| Main Authors: | Pham Nguyen Dang Khoa, Dinh Gia Huy, Nguyen Canh Lam, Dang Hai Quoc, Pham Hoang Thai, Nguyen Quyen Tat, Tran Minh Cong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2025-03-01
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| Series: | Polish Maritime Research |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/pomr-2025-0008 |
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