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Proactive Prediction of Total Volatile Fatty Acids Concentration in Multiple Full-Scale Food Waste Anaerobic Digestion Systems Using Substrate Characteristics with Machine Learning and Feature Analysis

Crossref DOI link: https://doi.org/10.1007/s12649-022-01826-6

Published Online: 2022-06-15

Published Print: 2023-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Choi, Sujin

Kim, Su In

Yulisa, Arma

Aghasa, Aghasa

Hwang, Seokhwan https://orcid.org/0000-0002-7545-108X
Funding

Funding for this research was provided by:

Korea Institute of Energy Technology Evaluation and Planning, Republic of Korea (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (20183010092790)

Korea Ministry of Environment as Waste to Energy-Recycling Human Resource Development Project (YL-WE-21-002)
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Text and Data Mining valid from 2022-06-15

Version of Record valid from 2022-06-15
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Article History

Received: 28 February 2022

Accepted: 16 May 2022

First Online: 15 June 2022

Declarations

:

: The authors declare no conflict of interests related to this work.

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