A Multitask Learning Framework for Predicting Ship Fuel Oil Consumption

A Multitask Learning Framework for Predicting Ship Fuel Oil Consumption

Predicting the ship fuel consumption constitutes a prerequisite for speed, trim, and voyage optimization. In spite of the rise of deep learning and transformers in many domains, research works train shallow machine learning (ML) algorithms for predicting ship fuel oil consumption (FOC). Although the...

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Bibliographic Details
Main Authors: Loukas Ilias, Panagiotis Kapsalis, Spiros Mouzakitis, Dimitris Askounis
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Maritime industry
main engine fuel oil consumption
auxiliary engine fuel oil consumption
deep learning
MultiHead self-attention
multi-task learning
Online Access:https://ieeexplore.ieee.org/document/10325522/

Internet

https://ieeexplore.ieee.org/document/10325522/

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