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

Pham, Nguyen Dang Khoa; Dinh, Gia Huy; Nguyen, Canh Lam; Dang, Hai Quoc; Pham, Hoang Thai; Nguyen, Quyen Tat; Tran, Minh Cong

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

Nguyen Dang Khoa Pham

Pham, Nguyen Dang Khoa

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05. März 2025

Polish Maritime Research

Band 32 (2025): Heft 1 (März 2025)

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Online veröffentlicht: 05. März 2025

Seitenbereich: 81 - 94

DOI: https://doi.org/10.2478/pomr-2025-0008

Schlüsselwörter
ship fuel consumption, fuel consumption forecasting, model prediction, machine learning technique, operation efficiency

© 2025 Nguyen Dang Khoa Pham et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Pham, Nguyen Dang Khoa

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

Dinh, Gia Huy

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

Nguyen, Canh Lam

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

Dang, Hai Quoc

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

Pham, Hoang Thai

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

Nguyen, Quyen Tat

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

Tran, Minh Cong

Nha Trang UniversityNha Trang, Viet Nam

Sprache:: Englisch

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

Nguyen Dang Khoa Pham

Gia Huy Dinh

Canh Lam Nguyen

Hai Quoc Dang

Hoang Thai Pham

Quyen Tat Nguyen

Minh Cong Tran

Online veröffentlicht: 05. März 2025

Seitenbereich: 81 - 94

DOI: https://doi.org/10.2478/pomr-2025-0008

Schlüsselwörtership fuel consumption, fuel consumption forecasting, model prediction, machine learning technique, operation efficiency

© 2025 Nguyen Dang Khoa Pham et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
ship fuel consumption, fuel consumption forecasting, model prediction, machine learning technique, operation efficiency