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

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

Polish Maritime Research
Volume 32 (2025): Issue 1 (March 2025)
By: Nguyen Dang Khoa Pham,  Gia Huy Dinh,  Canh Lam Nguyen,  Hai Quoc Dang,  Hoang Thai Pham,  Quyen Tat Nguyen and  Minh Cong Tran  
Open Access
|Mar 2025

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DOI: https://doi.org/10.2478/pomr-2025-0008 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
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Language: English
Page range: 81 - 94
Published on: Mar 5, 2025
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
ship fuel consumption,
fuel consumption forecasting,
model prediction,
machine learning technique,
operation efficiency
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other,
Geosciences,
Atmospheric science and climatology,
Life sciences,
Life sciences, other

© 2025 Nguyen Dang Khoa Pham, Gia Huy Dinh, Canh Lam Nguyen, Hai Quoc Dang, Hoang Thai Pham, Quyen Tat Nguyen, Minh Cong Tran, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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