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A Novel Approach to Enhancing the Accuracy of Prediction in Ship Fuel Consumption
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 +5 more sources
Prediction of Fuel Consumption for Enroute Ship Based on Machine Learning [PDF]
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 +5 more sources
An Interpretable Gray Box Model for Ship Fuel Consumption Prediction Based on the SHAP Framework
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
Using Artificial Neural Networks for Predicting Ship Fuel Consumption [PDF]
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
Exploring Time-Series Deep Learning Models for Ship Fuel Consumption Prediction
The fuel consumption of ships is an important component of shipping operation costs and also a significant source of greenhouse gas emissions. Accurate fuel consumption prediction is of great significance for optimizing the energy efficiency management ...
Xiao Chen +3 more
doaj +4 more sources
Neural Network Approach for Predicting Ship Speed and Fuel Consumption [PDF]
In this paper, simulations of a ship travelling on a given oceanic route were performed by a weather routing system to provide a large realistic navigation data set, which could represent a collection of data obtained on board a ship in operation.
Lúcia Moreira +2 more
doaj +3 more sources
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
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
Shipping industry is the backbone of global trade. However, the large quantities of greenhouse gas emissions from shipping, such as carbon dioxide (CO2), cannot be ignored. In order to comply with the international environmental regulations as well as to increase commercial profits, shipping companies have stronger motivations to improve ship energy ...
Yuquan Du, Shuaian Wang, Ran Yan
exaly +4 more sources
A deep learning method for the prediction of ship fuel consumption in real operational conditions
In recent years, the European Commission and the International Maritime Organization (IMO) implemented various operational measures and policies to reduce ship fuel consumption and related emissions. The effectiveness of these measures relies upon developing accurate predictive models encompassing the influence of real operational conditions.
Mingyang Zhang +2 more
exaly +6 more sources
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 +3 more sources

