Predicting Ship Main Engine Fuel Oil Consumption Using a Mixture of Experts Approach
Predicting ship fuel oil consumption is crucial for optimizing fuel efficiency, reducing operational costs, and minimizing environmental impact. Prior work uses either shallow machine learning (ML) algorithms (e.g., AdaBoost, Bagging, ExtraTrees, Random Forest) or deep neural networks that end with...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2026-01-01
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| Serier: | IEEE Access |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/11422835/ |
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