Estimation of fast pyrolysis <scp>bio‐oil</scp> properties from feedstock characteristics using <scp>rough‐set</scp> ‐based machine learning-Reference-Cited by-同舟云学术

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Estimation of fast pyrolysis bio‐oil properties from feedstock characteristics using rough‐set ‐based machine learning

Published:2022-06-09 Issue:13 Volume:46 Page:19159-19176
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Intl J of Energy Research

Author:

Chong Jia Wen¹,Thangalazhy‐Gopakumar Suchithra¹,Tan Raymond R.²,Aviso Kathleen B.²^ORCID,Chemmangattuvalappil Nishanth G.¹^ORCID

Affiliation:

1. Department of Chemical and Environmental Engineering University of Nottingham Malaysia Semenyih Selangor Malaysia

2. Center for Engineering and Sustainable Development Research De La Salle University Manila Philippines

Funder

Ministry of Education – Kingdom of Saudi Arabi

Publisher

Hindawi Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.8201

Reference45 articles.

1. Physico-chemical analysis of pyrolyzed bio-oil from swietenia macrophylla (mahogany) wood

2. Next‐generation biofuels and platform biochemicals from lignocellulosic biomass

3. A review of the mathematical models for predicting the heating value of biomass materials

4. Techno-economic analysis of biomass fast pyrolysis to transportation fuels

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1. Predictive capability of rough set machine learning in tetracycline adsorption using biochar;Carbon Research;2024-05-07

2. Machine learning prediction of bio-oil production from the pyrolysis of lignocellulosic biomass: Recent advances and future perspectives;Journal of Analytical and Applied Pyrolysis;2024-05

3. Rough set model of incomplete interval rough number decision systems;Journal of Intelligent & Fuzzy Systems;2024-04-18

4. Rough set-based machine learning for prediction of biochar properties produced through microwave pyrolysis;Biomass Conversion and Biorefinery;2023-10-25

5. An Interpretable Predictive Model for Health Aspects of Solvents via Rough Set Theory;Processes;2023-07-31

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