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

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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

Authors

Nguyen Dang Khoa Pham

Ho Chi Minh City University of Transport, Ho Chi Minh city, Viet Nam

Gia Huy Dinh

huy.dinh@ut.edu.vn

Ho Chi Minh City University of Transport, Ho Chi Minh city, Viet Nam

Canh Lam Nguyen

The Business School, Business Innovation Department, RMIT University, Ho Chi Minh city, Viet Nam

Hai Quoc Dang

Ho Chi Minh City University of Transport, Ho Chi Minh city, Viet Nam

Hoang Thai Pham

Ho Chi Minh City University of Transport, Ho Chi Minh city, Viet Nam

Quyen Tat Nguyen

Ho Chi Minh City University of Transport, Ho Chi Minh city, Viet Nam

Minh Cong Tran

Nha Trang University, Nha Trang, Viet Nam

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:

Introductions and overviews,

Engineering, other,

Atmospheric science and climatology,

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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