Results 31 to 40 of about 4,242,048 (285)

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

Modelling fuel consumption in kerbside source segregated food waste collection: separate collection and co-collection [PDF]

open access: yes, 2014
Source separated food waste is a valuable feedstock for renewable energy production through anaerobic digestion, and a variety of collection schemes for this material have recently been introduced.
Gredmaier, L., Chu, T.W., Heaven, S.
core   +1 more source

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   +4 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

I will if you will : towards sustainable consumption [PDF]

open access: yes, 2012
Report is summarised in 'I will if you will : towards sustainable consumption : a summary'.The Sustainable Consumption Roundtable (Great Britain), a joint initiative between the National Consumer Council and the Sustainable Development Commission ...
Sustainable Consumption Roundtable (Great Britain)
core   +2 more sources

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

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

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

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