Review of explainable machine learning for anaerobic digestion

[Display omitted] •Popularly used ML-based AD models are ANN, SVM, RF, and XGBOOST.•Predicted variables are biogas yield, process stability, and effluent characteristics.•Global and local model-agnostic explainability approaches are reviewed.•Potential applications are process parameter optimization...

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Veröffentlicht in:	Bioresource technology 2023-02, Vol.369, p.128468-128468, Article 128468
Hauptverfasser:	Gupta, Rohit, Zhang, Le, Hou, Jiayi, Zhang, Zhikai, Liu, Hongtao, You, Siming, Sik Ok, Yong, Li, Wangliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Anaerobiosis Artificial intelligence Bioenergy Data-driven modelling Machine Learning Renewable energy Sustainable waste management Technology Waste Management
Online-Zugang:	Volltext
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