Estimation of syngas yield in hydrothermal gasification process by application of artificial intelligence models
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DOI: 10.1016/j.renene.2023.118953
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- Manish Meena & Hrishikesh Kumar & Nitin Dutt Chaturvedi & Andrey A. Kovalev & Vadim Bolshev & Dmitriy A. Kovalev & Prakash Kumar Sarangi & Aakash Chawade & Manish Singh Rajput & Vivekanand Vivekanand , 2023. "Biomass Gasification and Applied Intelligent Retrieval in Modeling," Energies, MDPI, vol. 16(18), pages 1-21, September.
- Qi, Jingwei & Wang, Yijie & Xu, Pengcheng & Hu, Ming & Huhe, Taoli & Ling, Xiang & Yuan, Haoran & Li, Jiadong & Chen, Yong, 2024. "Biomass hydrothermal gasification characteristics study: based on deep learning for data generation and screening strategies," Energy, Elsevier, vol. 312(C).
- Mu, Lin & Wang, Zhen & Sun, Meng & Shang, Yan & Pu, Hang & Dong, Ming, 2024. "Machine learning model with a novel self–adjustment method: A powerful tool for predicting biomass ash fusibility and enhancing its potential applications," Renewable Energy, Elsevier, vol. 237(PA).
- Ayub, Yousaf & Ren, Jingzheng & He, Chang, 2024. "Unlocking waste potential: A neural network approach to forecasting sustainable acetaldehyde production from ethanol upcycling in biomass waste gasification," Energy, Elsevier, vol. 299(C).
- Song, Hao & Xia, Jiageng & Hu, Qiang & Cheng, Wei & Yang, Yang & Chen, Hanping & Yang, Haiping, 2024. "Comprehensive experimental assessment of biomass steam gasification with different types: correlation and multiple linear regression analysis with feedstock characteristics," Renewable Energy, Elsevier, vol. 237(PA).
- Yan Zhang & Kai Yue & Chang Yuan & Jiahao Xiang, 2025. "A Data Reconciliation-Based Method for Performance Estimation of Entrained-Flow Pulverized Coal Gasification," Energies, MDPI, vol. 18(5), pages 1-22, February.
- Ayub, Yousaf & Zhou, Jianzhao & Shen, Weifeng & Ren, Jingzheng, 2023. "Innovative valorization of biomass waste through integration of pyrolysis and gasification: Process design, optimization, and multi-scenario sustainability analysis," Energy, Elsevier, vol. 282(C).
- Olca, Kadriye Deniz & Yücel, Özgün, 2024. "Unveiling the potential of operating time in improving machine learning models’ performance for waste biomass gasification systems," Renewable Energy, Elsevier, vol. 237(PA).
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Keywords
Biomass energy; Artificial intelligence; Gasification; Machine learning; Extreme Gradient;All these keywords.
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