Results 71 to 80 of about 15,200 (191)

Aircraft range fuel prediction study based on WPD with IAPO optimized BiLSTM–KAN model

Scientific Reports
Confronted with the imperatives of sustainable development within the civil aviation sector, the precision in prognostication of aircraft fuel expenditure emerges as a critical imperative.
Weizhen Tang, Jie Dai, Yuantai Li
doaj   +1 more source

Estimation of rainfall and wind impacts on fuel consumption of passenger vehicles: A physical model approach

Scientific African
With the continuous changes in climate, increased attention is required to address the adverse impacts of climatic variables on automobile fuel consumption and emissions.
Janet Appiah Osei, Rabani Adamou, Amos T. Kabo-Bah, Satyanarayana Narra, Konin Pierre-Claver Kakou   +4 more
doaj   +1 more source

Combustion Characteristics of CI Engine Running with Biodiesel Blends

, 2011
Biodiesel is one of the promising renewable, alternative and environmentally friendly biofuels that can be used in diesel engine with little or no modification in the engine.
Gu, Fengshou, Ball, Andrew, A. Ball, Ball, A. D., Gu, F., F. Gu, Mishra, R., Tesfa, Belachew, Tesfa, B., Mishra, Rakesh, B. Tesfa, R. Mishra   +11 more
core   +1 more source

Fuel consumption based on route choice [PDF]

, 2017
Advances in technology equip traffic domain with instruments to gather and analyze data for safe and fuel efficient traveling. This article elaborates on the effects from taxi drivers route selection on fuel efficiency. We fuse real driving behavior data
Keskinarkaus, Anja, Tamminen, Satu, Anagnostopoulos, Theodoros, Gilman, Ekaterina, Riekki, Jukka, Pirttikangas, Susanna   +5 more
core  

Fuel Consumption Prediction Using Bayesian Neural Networks

Fuel Consumption Prediction Using Bayesian Neural Networks
Transportation is one of the necessities of life. Because humans need transportation to move from one location to another. Transportation requires fuel. On the other hand, fuel consumption is important and must be controlled. This is because fuel can come from both renewable and non-renewable energy sources, depending on the type and process of its ...
null Syarifah Diana Permai, null Jurike V Moniaga, null Zener Sukra Lie, null Ferry Jie   +3 more
openaire   +2 more sources

Investigating Fuel Injection Strategies to Enhance Ship Energy Efficiency in Wave Conditions

Polish Maritime Research
The prediction of fuel consumption and resulting transportation costs is a crucial stage in ship design, particularly for conditions involving motion in waves.
Ghaemi Hossein, Zeraatgar Hamid, Barjasteh Mojtaba   +2 more
doaj   +1 more source

Fuel Consumption Prediction Model using Machine Learning [PDF]

International Journal of Advanced Computer Science and Applications, 2021
Mohamed A. HAMED, Mohammed H.Khafagy, Rasha M.Badry   +2 more
openaire   +1 more source

An energy trade-off management strategy for hybrid ships based on event-triggered model predictive control

International Journal of Electrical Power & Energy Systems
This paper addresses the energy management problem of hybrid ships by proposing an event-triggered model predictive control (ET-MPC) method. The novelty in this work lies in the establishment of an event-triggered mechanism and a state prediction model ...
Diju Gao, Long Chen, Yide Wang
doaj   +1 more source

FuelNet: A precise fuel consumption prediction model using long short-term memory deep network for eco-driving

, 2020
It has been well recognized that driving behaviors significantly impact fuel consumption of vehicles. In this paper, we propose a FuelNet model based on Long Short-term Memory Neural Network (LSTM NN), which can predict vehicle fuel consumption in a very
Sun, Pengpeng,, Xu, Zhigang,, Min, Haigen,, Wang, Guanqun,, Zhang, Licheng,, Qu, Xiaobo,, Hina, Syeda Mahwish,, Wei, Tao,   +7 more
core  

Genetic Algorithm-Based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles

World Electric Vehicle Journal
Enhancing system durability and fuel economy stands as a crucial factor in the energy management of fuel cell hybrid vehicles. This paper proposes an Equivalent Consumption Minimization Strategy (ECMS) based on the Genetic Algorithm (GA), aiming to ...
Xingliang Yang, Yujie Wang
doaj   +1 more source