Prediction of phenol yield by machine learning based on biomass characteristics, pyrolysis conditions, and catalyst properties-Reference-Cited by-同舟云学术

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Prediction of phenol yield by machine learning based on biomass characteristics, pyrolysis conditions, and catalyst properties

Published:2024-11 Issue: Volume:320 Page:119001
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Yang Panru^ORCID,Xie Benhang,Wang Minghong,Guo Wenjuan,Zhang Xiaolei,Chen Xu,Chen Wei

Publisher

Elsevier BV

Reference46 articles.

1. Evaluation of zeolite catalysts on product distribution during sweet sorghum bagasse catalytic pyrolysis;Ren;Energy,2021

2. Can biomass energy be an efficient policy tool for sustainable development?;Bilgili;Renew Sustain Energy Rev,2017

3. A review of recent advances in biomass pyrolysis;Wang;Energy Fuel,2020

4. Bamboo wastes catalytic pyrolysis with N-doped biochar catalyst for phenols products;Chen;Appl Energy,2020

5. Production, separation and applications of phenolic-rich bio-oil - A review;Kim;Bioresour Technol,2015

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