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Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study
Christos Gkerekos, Iraklis Lazakis, Γεράσιμος Θεοτοκάτος
University of Strathclyde
来源Ocean Engineering
年份2019
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学术脉络
学科主题
物理Maritime Transport Emissions and Efficiency
Technical Engine Diagnostics and Monitoring · Maritime Navigation and Safety
参考文献 43
Methodologies for estimating shipping emissions and energy consumption: A comparative analysis of current methods
被引 112Juan Moreno-Gutiérrez, Fátima Calderay-Cayetano, Nieves Saborido · Energy · 2015
Principles and Theory for Data Mining and Machine Learning
被引 270Bertrand S. Clarke, Ernest Fokoué, Hao Helen Zhang · Springer series in statistics · 2009
Dynamic energy modelling for ship life-cycle performance assessment
被引 40Jakub Cichowicz, Γεράσιμος Θεοτοκάτος, Dracos Vassalos · Ocean Engineering · 2015
此处列出前 3 条
引用本文 248
Machine learning approach to ship fuel consumption: A case of container vessel
被引 224Tayfun Uyanık, Çağlar Karatuğ, Yasin Arslanoğlu · Transportation Research Part D Transport and Environment · 2020
A review of ship fuel consumption models
被引 196Ailong Fan, Jian Yang, Yang Liu · Ocean Engineering · 2022
Data analytics for fuel consumption management in maritime transportation: Status and perspectives
被引 167Ran Yan, Shuaian Wang, Harilaos N. Psaraftis · Transportation Research Part E Logistics and Transportation Review · 2021
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