A comparative analysis of biomass torrefaction severity index prediction from machine learning
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DOI: 10.1016/j.apenergy.2022.119689
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- Mohamad Aziz, Nur Atiqah & Mohamed, Hassan & Kania, Dina & Ong, Hwai Chyuan & Zainal, Bidattul Syirat & Junoh, Hazlina & Ker, Pin Jern & Silitonga, A.S., 2024. "Bioenergy production by integrated microwave-assisted torrefaction and pyrolysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
- Zhang, Yao & Salem, Mohamed & Elmasry, Yasser & Hoang, Anh Tuan & Galal, Ahmed M. & Pham Nguyen, Dang Khoa & Wae-hayee, Makatar, 2022. "Triple-objective optimization and electrochemical/technical/environmental study of biomass gasification process for a novel high-temperature fuel cell/electrolyzer/desalination scheme," Renewable Energy, Elsevier, vol. 201(P1), pages 379-399.
- Justyna Kujawska & Monika Kulisz & Piotr Oleszczuk & Wojciech Cel, 2023. "Improved Prediction of the Higher Heating Value of Biomass Using an Artificial Neural Network Model Based on the Selection of Input Parameters," Energies, MDPI, vol. 16(10), pages 1-16, May.
- Yang, Yadong & Shahbeik, Hossein & Shafizadeh, Alireza & Masoudnia, Nima & Rafiee, Shahin & Zhang, Yijia & Pan, Junting & Tabatabaei, Meisam & Aghbashlo, Mortaza, 2022. "Biomass microwave pyrolysis characterization by machine learning for sustainable rural biorefineries," Renewable Energy, Elsevier, vol. 201(P2), pages 70-86.
- Antonios Nazos & Dorothea Politi & Georgios Giakoumakis & Dimitrios Sidiras, 2022. "Simulation and Optimization of Lignocellulosic Biomass Wet- and Dry-Torrefaction Process for Energy, Fuels and Materials Production: A Review," Energies, MDPI, vol. 15(23), pages 1-35, November.
- Zhang, Yonghong & Li, Shouwei & Li, Jingwei & Tang, Xiaoyu, 2022. "A time power-based grey model with Caputo fractional derivative and its application to the prediction of renewable energy consumption," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
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Keywords
Torrefaction and biochar; Torrefaction severity index (TSI); Multivariate adaptive regression splines (MARS); Artificial neural network (ANN); Machine learning;All these keywords.
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