Results 31 to 40 of about 4,220,365 (165)
Self-labelling of tugboat operation using unsupervised machine learning and intensity indicator
The actual operational data, such as a time sequence of fuel consumption and speed, is usually unlabeled or not associated with a specific activity like tugging or cruising.
Januwar Hadi +2 more
doaj +1 more source
Fuel Consumption Prediction Models Based on Machine Learning and Mathematical Methods
An accurate fuel consumption prediction model is the basis for ship navigation status analysis, energy conservation, and emission reduction. In this study, we develop a black-box model based on machine learning and a white-box model based on mathematical
Xianwei Xie +5 more
doaj +1 more source
A Machine Learning Predictive Model for Ship Fuel Consumption
Water navigation is crucial for the movement of people and goods in many locations, including the Amazon region. It is essential for the flow of inputs and outputs, and for certain Amazon cities, boat access is the only option. Fuel consumption accounts for over 25% of a vessel’s total operational costs.
Rhuan Fracalossi Melo +3 more
openaire +3 more sources
Predicting ship fuel consumption using a combination of metocean and on-board data
Fuel Oil Consumption (FOC) accounts for a significant proportion of a vessel's operating costs. The cost of fuel for a fishing vessel operation may often go up to 50% or more. Accurate forecasting FOC in voyage planning stage is essential for route optimization decision support system with the objective of fuel-saving, which is difficult because the ...
Zhou, Yi +6 more
openaire +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 +1 more source
The demands for lower Energy Efficiency Operational Index (EEOI) reflect the requirements of international conventions for green shipping. Within this context it is believed that practical solutions for the dynamic optimization of a ship’s main ...
Chao Sun, Haiyan Wang, Chao Liu, Ye Zhao
doaj +1 more source
An analysis of an AMSA ship survey and comparison with the Maritime Transport Emission Model (MTEM)
This study analyses the results from an Australian ship survey and evaluates the performance of the Maritime Transport Emission Model (MTEM) that uses detailed data on local ship movement (Automatic Identification System) and ship characteristics.
Robin Smit
doaj +1 more source
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 +1 more source
Fuel consumption of marine vessels plays an important role in both generating air pollution and ship operational expenses where the global environmental concerns toward air pollution and economics of shipping operation are being increased.
Ali Akbar Safaei +2 more
doaj +1 more source
Concept design of a fast sail assisted feeder container ship
An environmentally sustainable fast sail-assisted feeder-container ship concept, with a maximum speed of 25 knots, has been developed for the 2020 South East Asian and Caribbean container markets.
Lloyd, Thomas +6 more
core +1 more source

