Results 1 to 10 of about 974 (205)

An Interpretable Gray Box Model for Ship Fuel Consumption Prediction Based on the SHAP Framework [PDF]

open access: yesJournal of Marine Science and Engineering, 2023
Shipping companies and maritime organizations want to improve the energy efficiency of ships and reduce fuel costs through optimization measures; however, the accurate fuel consumption prediction of fuel consumption is a prerequisite for conducting ...
Yiji Ma   +4 more
doaj   +4 more sources

An adaptive hyper parameter tuning model for ship fuel consumption prediction under complex maritime environments [PDF]

open access: yesJournal of Ocean Engineering and Science, 2022
An accurate prediction of ship fuel consumption is critical for speed, trim, and voyage optimisation etc. While previous studies have focused on predicting ship fuel consumption with respect to a variety of factors, research on the impact of ...
Tianrui Zhou   +3 more
doaj   +4 more sources

A Novel Approach to Enhancing the Accuracy of Prediction in Ship Fuel Consumption [PDF]

open access: yesJournal of Marine Science and Engineering
Ship fuel consumption plays a crucial role not only in understanding ships’ energy efficiency but also in gaining insights into their emissions. However, enhancing the accuracy of these predictions poses significant challenges due to data limitations and
Tianrui Zhou   +3 more
doaj   +4 more sources

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

open access: yesJournal of Marine Science and Engineering, 2021
As interest in eco-friendly ships increases, methods for status monitoring and forecasting using in-service data from ships are being developed.
Young-Rong Kim, Min Jung, Jun-Bum Park
doaj   +5 more sources

Using Artificial Neural Networks for Predicting Ship Fuel Consumption [PDF]

open access: yesPolish Maritime Research, 2023
In marine vessel operations, fuel costs are major operating costs which affect the overall profitability of the maritime transport industry. The effective enhancement of using ship fuel will increase ship operation efficiency. Since ship fuel consumption
Nguyen Van Giao   +7 more
doaj   +4 more sources

A Novel Hybrid Fuel Consumption Prediction Model for Ocean-Going Container Ships Based on Sensor Data [PDF]

open access: yesJournal of Marine Science and Engineering, 2021
Accurate, reliable, and real-time prediction of ship fuel consumption is the basis and premise of the development of fuel optimization; however, ship fuel consumption data mainly come from noon reports, and many current modeling methods have been based ...
Zhihui Hu   +5 more
doaj   +2 more sources

Time-Aware and Feature Similarity Self-Attention in Vessel Fuel Consumption Prediction [PDF]

open access: yesApplied Sciences, 2021
An accurate vessel fuel consumption prediction is essential for constructing a ship route network and vessel management, leading to efficient sailings. Besides, ship data from monitoring and sensing systems accelerate fuel consumption prediction research.
Hyun Joon Park   +3 more
doaj   +2 more sources

Prediction of Fuel Consumption for Enroute Ship Based on Machine Learning

open access: yesIEEE Access, 2019
Due to the hike in fuel price and environmental awareness by the International Maritime Organization, more attention has been given in order to optimize the fuel consumption of ships.
Zhihui Hu   +5 more
doaj   +3 more sources

Speed Optimization of Container Ship Considering Route Segmentation and Weather Data Loading: Turning Point-Time Segmentation Method

open access: yesJournal of Marine Science and Engineering, 2022
As one of the ship energy efficiency optimization measures with the most energy saving and emission reduction potential, ship speed optimization has been recommended by the International Maritime Organization.
Xiaohe Li   +3 more
doaj   +1 more source

Coupled Engine-Propeller Selection Procedure to Minimize Fuel Consumption at a Specified Speed

open access: yesJournal of Marine Science and Engineering, 2021
This study presents a practical optimization procedure that couples the NavCad power prediction tool and a nonlinear optimizer integrated into the Matlab environment.
Mina Tadros   +3 more
doaj   +1 more source

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