Forecasting and Feature Analysis of Ship Fuel Consumption by Explainable Machine Learning Approaches

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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Bibliographic Details
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
Series:Polish Maritime Research
Subjects:
ship fuel consumption
fuel consumption forecasting
model prediction
machine learning technique
operation efficiency
Online Access:https://doi.org/10.2478/pomr-2025-0008
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https://doi.org/10.2478/pomr-2025-0008

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