A Review on Machine Learning-Aided Hydrothermal Liquefaction Based on Bibliometric Analysis

A Review on Machine Learning-Aided Hydrothermal Liquefaction Based on Bibliometric Analysis

Hydrothermal liquefaction (HTL) is an effective biomass thermochemical conversion technology that can convert organic waste into energy products. However, the HTL process is influenced by various complex factors such as operating conditions, feedstock properties, and reaction pathways. Machine learn...

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Bibliographic Details
Main Authors: Lili Qian, Xu Zhang, Xianguang Ma, Peng Xue, Xingying Tang, Xiang Li, Shuang Wang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Energies
Subjects:
hydrothermal liquefaction
machine learning
bibliometric analysis
biomass
Online Access:https://www.mdpi.com/1996-1073/17/21/5254
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