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Predicting and Optimising Ship Fuel Consumption Using Data-Driven Models and a Proposed IGWO Algorithm for Speed Adjustment Cover

Predicting and Optimising Ship Fuel Consumption Using Data-Driven Models and a Proposed IGWO Algorithm for Speed Adjustment

Polish Maritime Research
Volume 32 (2025): Issue 4 (December 2025)
By: Negar Azemati,  Hamid Zeraatgar and  Sara Zeraatgar  
Open Access
|Nov 2025

Authors

Negar Azemati

Amirkabir University of Technology, Department of Maritime Engineering, Islamic Republic of Iran

Hamid Zeraatgar

hamidz@aut.ac.ir

Amirkabir University of Technology, Department of Maritime Engineering, Islamic Republic of Iran

Sara Zeraatgar

University of Calgary, Canada
DOI: https://doi.org/10.2478/pomr-2025-0049 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
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Language: English
Page range: 40 - 58
Published on: Nov 18, 2025
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Energy conservation,
Fuel oil consumption prediction,
Deep learning,
Speed optimisation,
Meteorological data,
IGWO algorithm
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other,
Geosciences,
Atmospheric science and climatology,
Life sciences,
Life sciences, other

© 2025 Negar Azemati, Hamid Zeraatgar, Sara Zeraatgar, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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