Hydrogen storage capacity planning and system balance analysis based on multi time scale adjustment of demand probability distribution. [PDF]
Jiang K +7 more
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Power management of hybrid fuel cell fixed wing UAVs using a fuzzy reinforcement learning system optimized with meta-heuristic methods. [PDF]
Rostami M, Farajollahi A, Habibi P.
europepmc +1 more source
Predictive analysis of greenhouse gas emissions from electric vehicle charging in the United States. [PDF]
Amirgholy M +3 more
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Calculation Simulation of Equivalent Thermomechanical Properties of Dispersion Nuclear Fuel. [PDF]
Yu H, Cong T, Zhang J.
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Smart Fuel Station & Vehicle Service Center Navigator with Fuel Consumption Prediction
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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
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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
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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
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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
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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
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