Results 241 to 250 of about 4,242,048 (285)
Smart Fuel Station & Vehicle Service Center Navigator with Fuel Consumption Prediction
openaire +1 more source
Predicting Ship Fuel Consumption: Update [PDF]
http://archive.org/details ...
Schrady, David A. +2 more
core +4 more sources
Prediction of harbour vessel fuel consumption based on machine learning approach
Fuel consumption influences both the economic and environmental perspectives of shipping. With the help of machine learning, meaningful knowledge and complex relationships can be extracted from high-dimensional historical data.
Zhong Shuo Chen
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Ship fuel consumption prediction based on transfer learning: Models and applications
Engineering Applications of Artificial IntelligenceData-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 ...
Mingyang Zhang, Shuaian Wang, Ran Yan
exaly +4 more sources
Predicting Tractor Fuel Consumption
2003, Las Vegas, NV July 27-30, 2003, 2003During the past 20 years of tractor testing, improved fuel efficiency from Nebraska Tractor Testing Laboratory (NTTL) reports was shown. A 4.8% decrease of average annual specific volumetric fuel consumption for the data used in the ASAE Standards was estimated.
Grisso, Robert D. +2 more
openaire +1 more source
On the Prediction of Fuel Consumption for Dual-Fuel Low-Speed Marine Engines
Volume 7: Energy, 2023Abstract The International Maritime Organization has been concerned with the pollution from ships and has enforced regulations to reduce greenhouse gas emissions. In this context, specific fuel consumption is a crucial parameter to select the most efficient and environmentally friendly engine.
Amanda Rempel da Silva +3 more
openaire +1 more source
Fine-Grained Fuel Consumption Prediction
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019The high costs and pollutant emissions of vehicles have raised the demand for reducing fuel consumption globally. The idea is to improve the operations of vehicles without losing the output power such that the engine speed and torque work with the minimum fuel consumption rate.
Chenguang Fang +3 more
openaire +2 more sources
On Learning Fuel Consumption Prediction in Vehicle Clusters
2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018Identifying granular patterns of differentiation and learning predictors of product performance are key drivers to capitalize on competitive market segments. In this paper, we propose an approach to identify granular product patterns by using Hierarchical Clustering, and to learn predictors of product performance from historical data by using Genetic ...
Victor Parque, Tomoyuki Miyashita
openaire +1 more source
Prediction of Fuel Consumption of Agricultural Tractors
Applied Engineering in Agriculture, 2011A mathematical model was developed to predict fuel consumption of agricultural tractors using their official OECD tractor test data. It was found from the data analysis that the fuel consumption at varying load with full throttle is proportional to engine power, and the difference in fuel consumptions at varying load with full and reduced throttles is ...
null S. C. Kim +2 more
openaire +1 more source
Mathematical Model of a Hydraulic Excavator for Fuel Consumption Predictions
ASME/BATH 2015 Symposium on Fluid Power and Motion Control, 2015This paper presents the multibody mathematical model of a hydraulic excavator, developed in the AMESim® environment, which is able to predict the machinery fuel consumption during the working cycles. The mathematical modelling approach is presented as well as the subsystems models. The experimental activity on the excavator is presented in detail.
CASOLI, Paolo +4 more
openaire +2 more sources

