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Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion

Year: 2019

Type: article

Source: The Science of The Total Environment

DOI: 10.1016/j.scitotenv.2019.134574

Authors: Djavan De Clercq, Zongguo Wen, Fan Fei, Luis Caicedo, Kai Yuan, Ruoxi Shang

Institutions: State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Huazhong University of Science and Technology, Earth University, University of Edinburgh, University of California, Berkeley

Language: English

Topic: Anaerobic Digestion and Biogas Production

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Responsible consumption and production, Climate action

Open Access status: closed

OpenAlex ID: W2995574841

FWCI: 9.033

Cites: 71

Cited by: 227

Related to: 10