Hybrid residual modelling of biomass pyrolysis

Jiang, Peng; Wang, Chenhan; Fan, Jing; Ji, Tuo; Mu, Liwen; Lu, Xiaohua; Zhu, Jiahua

doi:10.1016/j.ces.2024.120096

Chemical Engineering Science

2024

DOI: 10.1016/j.ces.2024.120096

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Hybrid residual modelling of biomass pyrolysis

Peng Jiang,

Chenhan Wang,

Jing Fan

et al.

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Cited by 4 publications

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Critical insights into ensemble learning with decision trees for the prediction of biochar yield and higher heating value from pyrolysis of biomass

Kandpal,

Tagade,

Sawarkar

2024

Bioresource Technology

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Critical insights into ensemble learning with decision trees for the prediction of biochar yield and higher heating value from pyrolysis of biomass

Kandpal,

Tagade,

Sawarkar

2024

Bioresource Technology

View full text Add to dashboard Cite

A hybrid approach combining mechanism-guided data augmentation and machine learning for biomass pyrolysis

Jiang,

Fan,

et al. 2024

Chemical Engineering Science

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Establishing a generalized model for accurate prediction of higher heating values of substances with large ash fractions

Jiang,

Li,

Lin

et al. 2024

Green Chemical Engineering

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Hybrid residual modelling of biomass pyrolysis

Cited by 4 publications

References 46 publications

Critical insights into ensemble learning with decision trees for the prediction of biochar yield and higher heating value from pyrolysis of biomass

Critical insights into ensemble learning with decision trees for the prediction of biochar yield and higher heating value from pyrolysis of biomass

A hybrid approach combining mechanism-guided data augmentation and machine learning for biomass pyrolysis

Establishing a generalized model for accurate prediction of higher heating values of substances with large ash fractions

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