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Plant-scale biogas production prediction based on multiple hybrid machine learning technique.
Zhang, Yi; Li, Linhui; Ren, Zhonghao; Yu, Yating; Li, Yeqing; Pan, Junting; Lu, Yanjuan; Feng, Lu; Zhang, Weijin; Han, Yongming.
Afiliación
  • Zhang Y; State Key Laboratory of Heavy Oil Processing, Beijing Key Laboratory of Biogas Upgrading Utilization, College of New Energy and Materials, China University of Petroleum Beijing (CUPB), Beijing 102249, PR China.
  • Li L; College of Artificial Intelligence, China University of Petroleum Beijing (CUPB), Beijing 102249, PR China.
  • Ren Z; State Key Laboratory of Heavy Oil Processing, Beijing Key Laboratory of Biogas Upgrading Utilization, College of New Energy and Materials, China University of Petroleum Beijing (CUPB), Beijing 102249, PR China.
  • Yu Y; State Key Laboratory of Heavy Oil Processing, Beijing Key Laboratory of Biogas Upgrading Utilization, College of New Energy and Materials, China University of Petroleum Beijing (CUPB), Beijing 102249, PR China.
  • Li Y; State Key Laboratory of Heavy Oil Processing, Beijing Key Laboratory of Biogas Upgrading Utilization, College of New Energy and Materials, China University of Petroleum Beijing (CUPB), Beijing 102249, PR China. Electronic address: liyeqingcup@126.com.
  • Pan J; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China.
  • Lu Y; Beijing Fairyland Environmental Technology Co., Ltd, Beijing 100094, PR China.
  • Feng L; NIBIO, Norwegian Institute of Bioeconomy Research, P.O. Box 115, N-1431 Ås, Norway.
  • Zhang W; School of Energy Science and Engineering, Central South University, Changsha 410083, PR China.
  • Han Y; College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, PR China.
Bioresour Technol ; 363: 127899, 2022 Nov.
Article en En | MEDLINE | ID: mdl-36075348
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biocombustibles / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioresour Technol Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2022 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biocombustibles / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioresour Technol Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2022 Tipo del documento: Article