Production prediction modeling of food waste anaerobic digestion for resources saving based on SMOTE-LSTM
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DOI: 10.1016/j.apenergy.2023.122024
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Cited by:
- Han, Yongming & Li, Zhiyi & Wei, Tingting & Zuo, Xiaoyu & Liu, Min & Ma, Bo & Geng, Zhiqiang, 2024. "Production capacity prediction based response conditions optimization of straw reforming using attention-enhanced convolutional LSTM integrating data expansion," Applied Energy, Elsevier, vol. 365(C).
- Lyu, Zhengwei & Lan, Hongjie & Hua, Guowei & Cheng, T.C.E. & Xu, Yadong, 2024. "How to promote Chinese food waste-to-energy program? An evolutionary game approach," Energy, Elsevier, vol. 293(C).
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Keywords
Anaerobic digestion; Methane production prediction model; Synthetic minority oversampling technique; Long short-term memory; Resource saving; Food waste;All these keywords.
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