Plant-Scale Biogas Production Based on Integrating of CEEMDAN Decomposition with PSO Optimized Multilayer Perceptron Neural Network

Accurate and dependable forecasting of biogas production is vital for optimizing process parameters and maintaining stable operation in large-scale anaerobic digestion projects. In this study, a novel hybrid approach (CEE-PMLP) integrating complete ensemble empirical mode decomposition with adaptive...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Dean Kong, Lijie Chu, Ping Yang, Yujing Guan, Hao Xu, Jie Chen, Yange Yu, Xiaochuan Yan, Bingfeng Liu, Guangli Cao, Xihai Zhang
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2024-12-01
Σειρά:	Fermentation
Θέματα:	biogas production prediction complete ensemble empirical mode decomposition with adaptive noise multilayer perceptron neural network particle swarm optimization large-scale anaerobic digestion project
Διαθέσιμο Online:	https://www.mdpi.com/2311-5637/10/12/660
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