Results 11 to 20 of about 12,573 (260)

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

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

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

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

Research on energy management strategy of fuel cell power generation system based on Grey–Markov chain power prediction

open access: yesEnergy Reports, 2021
Fuel cell power generation system is a potential renewable power source. To reduce hydrogen consumption and enhance the dynamic performance of the system, Grey–Markov chain power prediction energy management strategy for fuel cell power generation ...
Zhichao Fu   +5 more
doaj   +1 more source

Predicting fuel energy consumption during earthworks [PDF]

open access: yesJournal of Cleaner Production, 2016
This research contributes to the assessment of on-site fuel consumption and the resulting carbon dioxide emissions due to earthworks-related processes in residential building projects, prior to the start of the construction phase. Several studies have been carried out on this subject, and have demonstrated the considerable environmental impact of ...
TRANI, MARCO LORENZO AGOSTINO   +3 more
openaire   +2 more sources

A Multitask Learning Framework for Predicting Ship Fuel Oil Consumption

open access: yesIEEE Access, 2023
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

Machine Learning and Predictive Analysis of Fossil Fuels Consumption in Mid-Term [PDF]

open access: yesICST Transactions on Scalable Information Systems, 2017
In economies that are dependent on fossil fuel revenues, Realization of long-term plans, mid-term and annual budgeting requires a fairly accurate estimation of the amount of consumption and its price fluctuations. Accordingly, the present study is using machine learning techniques to predict the usage of fossil fuels (Diesel, Black oil, Heating oil ...
Mahmood Amerion   +3 more
openaire   +3 more sources

Multilayer Perceptron Method to Estimate Real-World Fuel Consumption Rate of Light Duty Vehicles

open access: yesIEEE Access, 2019
The actual driving condition and fuel consumption rate gaps between lab and real-world are becoming larger. In this paper, we demonstrate an approach to determine the most important factors that may influence the prediction of real-world fuel consumption
Yawen Li   +5 more
doaj   +1 more source

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