Development of a Fuel Consumption Prediction Model Based on Machine Learning Using Ship In-Service Data

Development of a Fuel Consumption Prediction Model Based on Machine Learning Using Ship In-Service Data

As interest in eco-friendly ships increases, methods for status monitoring and forecasting using in-service data from ships are being developed. Models for predicting the energy efficiency of a ship in real time need to effectively process the operational data and be optimized for such an applicatio...

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Bibliographic Details
Main Authors: Young-Rong Kim, Min Jung, Jun-Bum Park
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Journal of Marine Science and Engineering
Subjects:
in-service data
ship fuel consumption
machine learning
variable selection
Online Access:https://www.mdpi.com/2077-1312/9/2/137

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