Results 171 to 180 of about 15,200 (191)

Ship fuel consumption prediction based on transfer learning: Models and applications

Engineering Applications of Artificial Intelligence
Data-driven fuel consumption rate (FCR) prediction models largely depend on the amount of training data, which can be scarce for new ships with limited operating time. To tackle this issue, we implement three transfer learning strategies to leverage knowledge from another seven container ships to construct artificial neural network (ANN)-based FCR ...
Xi Luo, Mingyang Zhang, Yi Han, Ran Yan 0002, Shuaian Wang   +4 more
openaire   +2 more sources

Full-Vehicle Model Development for Prediction of Fuel Consumption

SAE International Journal of Fuels and Lubricants, 2013
<div class="section abstract"><div class="htmlview paragraph">A predictive model of a specific vehicle was modeled in the system-level physical modeling tool, MapleSim, for performance and fuel consumption prediction of a full vehicle powertrain, driving a multi-body chassis model with tire models.
Paul Goossens, Avesta Goodarzi
openaire   +1 more source

A Method of Predicting Brake Specific Fuel Consumption Maps

SAE Technical Paper Series, 1999
<div class="htmlview paragraph">A method of predicting brake specific fuel consumption characteristics from limited specifications of engine design has been investigated. For spark ignition engines operating on homogeneous mixtures, indicated specific fuel consumption based on gross indicated power is related to compression ratio and spark timing
P. J. Shayler, J. P. Chick, D. Eade
openaire   +1 more source

A Simulation Tool for Predicting Fuel Consumption for Heavy Trucks

IFAC Proceedings Volumes, 2001
Abstract Low fuel consumption is very important for a heavy truck. The best combination of engine. gearbox, central gear and tire dimension varies depending on transport task and road conditions. For these reasons it is important to find the best combination of powertrain components so that the optimum operationalarea of the engine can be used as ...
openaire   +1 more source

Fuel consumption prediction for heavy-duty vehicles using digital maps

2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017
With the steep increase of heavy-duty transportation, more fuel efficient technologies and services have become of great importance due to their environmental impact (in terms of CO 2 emissions) and economical impact (costs for the fleet managers). This work addresses the problem of finding the less expensive itinerary among several ones provided by a
Luis Leon Ojeda, Alexandre Chasse, Romain Goussault   +2 more
openaire   +1 more source

Developing a data-driven hydraulic excavator fuel consumption prediction system based on deep learning

Advanced Engineering Informatics, 2023
Guiqin Li, Xihang Li, Peter Mitrouchev   +2 more
exaly  

Predictive ADAS functionalities to lower fuel consumption

2017
This project is a proof of concept consisting of four functionalities, all of which are aimed at lowering DAF’s heavy-duty vehicles fuel consumption. In addition, the truck’s safety level, comfort level & road acceptance had to be maintained throughout the lifetime of the project. The proof of concept relies on the current ACC onboard forward radar.
openaire   +1 more source

Ship Fuel Consumption Prediction based on MFO-BP

2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA), 2023
Yunbo Li, Tao Li
openaire   +1 more source

Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

Transportation Research, Part E: Logistics and Transportation Review, 2021
Waqar Ahmed Khan
exaly  

Ship Fuel Consumption Prediction

2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
Lokith Babu S, Jagadeep RS, K Deepa, Harini Shree R   +3 more
openaire   +1 more source