Predicting current and hydrogen productions from microbial electrolysis cells using random forest model-Reference-Cited by-同舟云学术

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Predicting current and hydrogen productions from microbial electrolysis cells using random forest model

Published:2024-10 Issue: Volume:371 Page:123641
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Yoon Jinyoung,Cheong Dae-Yeol,Baek Gahyun

Funder

Ministry of Education

National Research Foundation of Korea

Korea Environmental Industry and Technology Institute

Korea Ministry of Environment

Publisher

Elsevier BV

Reference48 articles.

1. Microbial electrolysis: a promising approach for treatment and resource recovery from industrial wastewater;Koul;Bioengineered,2022

2. The role of microbial electrolysis cell in urban wastewater treatment: integration options, challenges, and prospects;Katuri;Curr Opin Biotechnol,2019

3. Electrochemically assisted microbial production of hydrogen from acetate;Liu;Environ Sci Technol,2005

4. Improving power production in acetate-fed microbial fuel cells via enrichment of exoelectrogenic organisms in flow-through systems;Borole;Biochem Eng J,2009

5. Bioelectrochemical hydrogen production from urban wastewater on a pilot scale;Baeza;J Power Sources,2017

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1. Analysis of bond strength of CFRP cables with concrete using random forest model;Journal of Building Engineering;2024-11

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