Results 21 to 30 of about 4,242,048 (285)

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   +2 more sources

Prediction of Truck Fuel Consumption Based on Crossformer-LSTM Characteristic Distillation

open access: yesApplied Sciences
With the increasing number of heavy-duty trucks and their high fuel consumption characteristics, reducing fuel costs has become a primary challenge for the freight industry.
Kai Du   +4 more
doaj   +2 more sources

A Neuro-Fuzzy Approach for Vehicle Fuel Consumption Prediction [PDF]

open access: yesJournal of Electrical Technology UMY, 2018
This paper presents a neuro-fuzzy approach for predicting vehicle fuel consumption. The prediction of fuel consumption of a vehicle has become a strategic issue. This is because it is not only related to the problem of the availability of fuel which is getting thinner but also the problem of the environmental impact caused.
Indah Soesanti, Ramadoni Syahputra
openaire   +3 more sources

Fuel Consumption Tabulation in Laboratory Conditions [PDF]

open access: yes, 2014
Environmental degradation has come about for a number of factors including the use of fossil fuels in vehicles for everyday use. This paper attempts to understand the relationship between fuel consumption and various engine performance parameters under ...
Alghadi, M.   +23 more
core   +5 more sources

Fuel Efficient High-Density Platooning Using Future Conditions Prediction

open access: yesIEEE Open Journal of Intelligent Transportation Systems, 2022
A promising application of cooperative driving is high-density platooning, which main goal is to reduce fuel consumption by driving with inter-vehicle distances below ten meters.
Guillaume Jornod   +4 more
doaj   +1 more source

Prediction of the Consumption of Raw Materials and Fuels for the Blast Furnace

open access: yesProcesses, 2022
This article was conducted within the framework of project reg. no. CZ.11.4.120/0.0/0.0/16_013/0002594, programme, Interreg V-A Czech Republic-Poland, Microprojects Fund 2014–2020 in the Euroregion Silesia. It is focused in the area of modelling technological processes and the presentation of the main principles of these models.
Pavlína Pustějovská   +4 more
openaire   +2 more sources

Fitting Analysis of Inland Ship Fuel Consumption Considering Navigation Status and Environmental Factors

open access: yesIEEE Access, 2020
The strategy of ecological priority and green development in China has made the fuel consumption of inland ships receive unprecedented attentions. Reliable fuel consumption prediction is the vital basis of navigation planning, energy supervision, and ...
Zhi Yuan   +5 more
doaj   +1 more source

A Comparative Study of Actual Fuel Consumption and the Predicted Fuel Consumption of the Tractor with Chisel Plow

open access: yes, 2021
A field experiment was conducted during December 2019, at the Demonstration Farm of the Faculty of Natural Resources and Environmental Studies, University of Alsalam. The objective was to compare the actual fuel consumption and the predicted fuel consumption of tractor with chisel plow.
Suliman, Ayman Hassan   +2 more
openaire   +2 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

Real-driving CO2, NOx and fuel consumption estimation using machine learning approaches

open access: yesNext Energy, 2023
Real driving emissions (RDE) testing are gaining attention for monitoring and regulatory purposes because of providing more realistic emission and fuel consumption measurements compared to laboratory tests. This study aims to develop machine learning (ML)
G M Hasan Shahariar   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy