Results 21 to 30 of about 13,300 (260)

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

IEEE 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, Guangcan Tang, Jiameng Du, Nan Zhou, Yue Zhao, Tian Wu   +5 more
doaj   +1 more source

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

Maritime 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, Dimitrios Konovessis, Zhi Yung Tay   +2 more
doaj   +1 more source

Using Artificial Neural Networks for Predicting Ship Fuel Consumption

Polish 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, Rajamohan Sakthivel, Rudzki Krzysztof, Kozak Janusz, Sharma Prabhakar, Pham Nguyen Dang Khoa, Nguyen Phuoc Quy Phong, Xuan Phuong Nguyen   +7 more
doaj   +1 more source

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

Energies, 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, Junzhu Shang, Lei Li, Changjian Zhang, Jie He, Jinhang Ma   +5 more
doaj   +1 more source

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

Cogent 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, Rajendra Machavaram,   Ambuj, Peeyush Soni, Vijay Mahore, Prakhar Patidar   +5 more
doaj   +1 more source

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

Journal 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, Xiaosheng Liu, Yuxia Luo, Xiangming Zeng   +3 more
doaj   +1 more source

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

Energies, 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

Resources, 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, Yousef Abbaspour-Gilandeh, Vali Rasooli-Sharabiani, Aref Mardani, José Luis Hernández-Hernández, José Antonio Montero-Valverde, Mario Hernández-Hernández   +6 more
doaj   +1 more source

Modelling fuel consumption of fishing vessels for predictive use [PDF]

ICES Journal of Marine Science, 2014
Abstract Fuel costs are an important element in models used to analyse and predict fisher behaviour for application within the wider mixed fisheries and ecosystem approaches to management. This investigation explored the predictive capability of linear and generalized additive models (GAMs) in providing daily fuel consumption estimates ...
Davie, S., Minto, C., Officer, R., Lordan, C., Jackson, E.   +4 more
openaire   +3 more sources

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

IEEE 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, Edoardo Pagot, Luca De Pascali, Francesco Biral   +3 more
doaj   +1 more source