Investigation of ship energy consumption based on neural network-Reference-Cited by-同舟云学术

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Investigation of ship energy consumption based on neural network

Published:2024-08 Issue: Volume:254 Page:107167
ISSN:0964-5691
Container-title:Ocean & Coastal Management
language:en
Short-container-title:Ocean & Coastal Management

Author:

Shu Yaqing,Yu Benshuang^ORCID,Liu Wei,Yan Tao,Liu Zhiyao,Gan Langxiong,Yin Jianchuan^ORCID,Song Lan

Funder

NSFC

Publisher

Elsevier BV

Reference97 articles.

1. Predicting dynamic fuel oil consumption on ships with automated machine learning;Ahlgren;Energy Proc.,2019

2. Analysis of offshore waiting at world container terminals and estimation of CO2 emissions from waiting ships;Akakura;Asian Transport Studies,2023

3. Liquified hydrogen vs. liquified renewable methane: evaluating energy consumption and infrastructure for sustainable fuels;Al-Breiki;Fuel,2023

4. Reviewing two decades of cleaner alternative marine fuels: towards IMO's decarbonization of the maritime transport sector;Ampah;J. Clean. Prod.,2021

5. Green hydrogen as an alternative fuel for the shipping industry;Atilhan;Current Opinion in Chemical Engineering,2021

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