Predicting Seagoing Ship Energy Efficiency from the Operational Data

This paper presents the application of machine learning (ML) methods in setting up a model with the aim of predicting the energy efficiency of seagoing ships in the case of a vessel for the transport of liquefied petroleum gas (LPG). The ML algorithm is learned from shipboard automation system measu...

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Detalles Bibliográficos
Autores principales: Vorkapić, Aleksandar, Radonja, Radoslav, Martinčić-Ipšić, Sanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073942/
https://www.ncbi.nlm.nih.gov/pubmed/33920530
http://dx.doi.org/10.3390/s21082832

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073942/
https://www.ncbi.nlm.nih.gov/pubmed/33920530
http://dx.doi.org/10.3390/s21082832

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