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...

Täydet tiedot

Bibliografiset tiedot

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