A multi-time-scale multi-step prediction method for gas utilization rate in a BF based on just-in-time learning

Zhao, Guoyu; An, Jianqi; Guo, Yunpeng; He, Yong; Wu, Min

doi:10.1016/j.conengprac.2024.105940

Control Engineering Practice

2024

DOI: 10.1016/j.conengprac.2024.105940

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A multi-time-scale multi-step prediction method for gas utilization rate in a BF based on just-in-time learning

Guoyu Zhao,

Jianqi An,

Yunpeng Guo

et al.

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Community inspired edge specific message graph convolution network for predictive monitoring of large-scale polymerization processes

Li,

Hao,

Shi

et al. 2024

Control Engineering Practice

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Community inspired edge specific message graph convolution network for predictive monitoring of large-scale polymerization processes

Li,

Hao,

Shi

et al. 2024

Control Engineering Practice

View full text Add to dashboard Cite

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A multi-time-scale multi-step prediction method for gas utilization rate in a BF based on just-in-time learning

Cited by 1 publication

References 39 publications

Community inspired edge specific message graph convolution network for predictive monitoring of large-scale polymerization processes

Community inspired edge specific message graph convolution network for predictive monitoring of large-scale polymerization processes

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