Application of machine learning for performance prediction and optimization of a homogeneous charge compression ignited engine operated using biofuel-gasoline blends

Kale, Aneesh Vijay; Krishnasamy, Anand

doi:10.1016/j.enconman.2024.118629

Energy Conversion and Management

2024

DOI: 10.1016/j.enconman.2024.118629

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Application of machine learning for performance prediction and optimization of a homogeneous charge compression ignited engine operated using biofuel-gasoline blends

Aneesh Vijay Kale,

Anand Krishnasamy

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Cited by 2 publications

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Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook

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Experimental study addressing the challenges of homogeneous charge compression ignition combustion in a light-duty diesel engine using multiple biofuels

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Application of machine learning for performance prediction and optimization of a homogeneous charge compression ignited engine operated using biofuel-gasoline blends

Cited by 2 publications

References 40 publications

Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook

Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook

Experimental study addressing the challenges of homogeneous charge compression ignition combustion in a light-duty diesel engine using multiple biofuels

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