Effect of Machine Learning Algorithms on Prediction of In-Cylinder Combustion Pressure of Ammonia–Oxygen in a Constant-Volume Combustion Chamber

Effect of Machine Learning Algorithms on Prediction of In-Cylinder Combustion Pressure of Ammonia–Oxygen in a Constant-Volume Combustion Chamber

Road vehicles, particularly cars, are one of the primary sources of CO<sub>2</sub> emissions in the transport sector. Shifting to unconventional energy sources such as solar and wind power may reduce their carbon footprints considerably. Consequently, using ammonia as a fuel due to its p...

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Bibliographic Details
Main Authors: Lijia Fang, Hardeep Singh, Takuma Ohashi, Masato Sanno, Guansen Lin, Emir Yilmaz, Mitsuhisa Ichiyanagi, Takashi Suzuki
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Energies
Subjects:
ammonia
combustion
machine learning
random forest
artificial neural network
in-cylinder pressure
Online Access:https://www.mdpi.com/1996-1073/17/3/746

Internet

https://www.mdpi.com/1996-1073/17/3/746

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