Results 21 to 30 of about 12,573 (260)

Self-labelling of tugboat operation using unsupervised machine learning and intensity indicator

open access: yesMaritime Transport Research, 2023
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

A Comparative Study on Fuel Consumption Prediction Methods of Heavy-Duty Diesel Trucks Considering 21 Influencing Factors

open access: yesEnergies, 2021
With increasingly prominent environmental problems, controlling automobile exhaust has become essential to the environment. The fuel consumption of transportation is the critical factor that determines exhaust gas.
Jian Gong   +5 more
doaj   +1 more source

Using Artificial Neural Networks for Predicting Ship Fuel Consumption

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   +1 more source

Cloud-driven serverless framework for generalised tractor fuel consumption prediction model using machine learning

open access: yesCogent Engineering
The fuel consumption model serves as a valuable tool for estimating real-time fuel consumption levels. An accurate fuel consumption model is crucial in providing precise information regarding fuel utilisation and motivating experts to assess the vehicle ...
Harsh Nagar   +5 more
doaj   +1 more source

Modeling and Parameterization of Fuel Economy in Heavy Duty Vehicles (HDVs)

open access: yesEnergies, 2014
The present paper suggests fuel consumption modeling for HDVs based on the code from the Japanese Ministry of the Environment. Two interpolation models (inversed distance weighted (IDW) and Hermite) and three types of fuel efficiency maps (coarse, medium,
Yunjung Oh, Sungwook Park
doaj   +1 more source

Use of a Convolutional Neural Network for Predicting Fuel Consumption of an Agricultural Tractor

open access: yesResources, 2023
The energy crisis and depleting fossil fuel resources have always been the focus of researchers. Fuel consumption of agricultural tractors is not an exception. Researchers have used different methods to predict fuel consumption.
Hamid Jalilnezhad   +6 more
doaj   +1 more source

Exploring Time-Series Deep Learning Models for Ship Fuel Consumption Prediction

open access: yesJournal of Marine Science and Engineering
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   +1 more source

Development of a Prediction Model for Specific Fuel Consumption in Rotary Tillage Based on Actual Operation

open access: yesAgriculture
Tractor fuel consumption has typically been predicted using indoor test results under specific conditions. This study analyzes the factors affecting fuel consumption during rotary tillage in actual fields and develops a prediction model.
Seung-Jun Kim   +4 more
doaj   +1 more source

Battery Aging-Aware Online Optimal Control: An Energy Management System for Hybrid Electric Vehicles Supported by a Bio-Inspired Velocity Prediction

open access: yesIEEE Access, 2021
In this manuscript, we address the problem of online optimal control for torque splitting in hybrid electric vehicles that minimises fuel consumption and preserves battery life.
Giammarco Valenti   +3 more
doaj   +1 more source

Vehicle Fuel Consumption Prediction Method Based on Driving Behavior Data Collected from Smartphones

open access: yesJournal of Advanced Transportation, 2020
Transportation is an important factor that affects energy consumption, and driving behavior is one of the main factors affecting vehicle fuel consumption. The purpose of this paper is to improve fuel consumption monitoring databases based on mobile phone
Ying Yao   +6 more
doaj   +1 more source

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