Results 11 to 20 of about 4,440,808 (167)
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
Fuel Consumption Prediction and Optimization Model for Pure Car/Truck Transport Ships
Predicting and optimizing ship fuel use is a crucial technology for lowering greenhouse gas emissions. Unfortunately, existing research is rarely capable of developing fuel consumption forecasts and optimization models for a particular transport system ...
Miao Su +4 more
doaj +2 more sources
A Ship Energy Consumption Prediction Method Based on TGMA Model and Feature Selection
Optimizing ship energy efficiency is a crucial measure for reducing fuel use and emissions in the shipping industry. Accurate prediction models of ship energy consumption are essential for achieving this optimization.
Yuhang Liu +6 more
doaj +2 more sources
The prediction of fuel consumption and Carbon Intensity Index (CII) of ships is crucial for optimizing decarbonization strategies in the maritime industry.
Zhihuan Wang +5 more
doaj +2 more sources
Voyage optimisation : prediction of ship specific fuel consumption for energy efficient shipping [PDF]
Voyage optimization is a technology to predict the ship performance in various sea states and current conditions, and based on the performance of the ship to assist ship masters in route selection. The targets of increasing energy efficiency and reducing Green House Gas (GHG) emission in the shipping industry can be achieved by voyage optimization ...
Lu, Ruihua +2 more
core +6 more sources
An Adaptive Prediction Framework of Ship Fuel Consumption for Dynamic Maritime Energy Management
Accurate prediction of fuel consumption is critical for achieving efficient and low-carbon ship operations. However, the variability of the marine environment introduces significant challenges, as it leads to dynamic changes in monitoring data ...
Ya Gao +5 more
doaj +2 more sources
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
A Multitask Learning Framework for Predicting Ship Fuel Oil Consumption
Predicting the ship fuel consumption constitutes a prerequisite for speed, trim, and voyage optimization. In spite of the rise of deep learning and transformers in many domains, research works train shallow machine learning (ML) algorithms for predicting ship fuel oil consumption (FOC).
Loukas Ilias +3 more
openaire +2 more sources
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 +1 more source
Coupled Engine-Propeller Selection Procedure to Minimize Fuel Consumption at a Specified Speed
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

