Application of machine learning for performance prediction and optimization of a homogeneous charge compression ignited engine operated using biofuel-gasoline blends-Reference-Cited by-同舟云学术

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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

Published:2024-08 Issue: Volume:314 Page:118629
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Kale Aneesh Vijay^ORCID,Krishnasamy Anand^ORCID

Publisher

Elsevier BV

Reference55 articles.

1. EIA International Energy Outlook 2023,2023

2. A case for the internal combustion engine powered vehicle;Towoju;Energy Rep,2020

3. A critical review on available models to predict engine fuel properties of biodiesel;Bukkarapu;Renew Sustain Energy Rev,2022

4. Moving ahead from hydrogen to methanol economy: scope and challenges;Sonthalia;Clean Technol Environ Policy,2021

5. Bioethanol production from renewable sources: Current perspectives and technological progress;Zabed;Renew Sustain Energy Rev,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Experimental study addressing the challenges of homogeneous charge compression ignition combustion in a light-duty diesel engine using multiple biofuels;Journal of Cleaner Production;2024-09

2. Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook;Energy Conversion and Management: X;2024-07

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