Early warning study of field station process safety based on VMD-CNN-LSTM-self-attention for natural gas load prediction

Early warning study of field station process safety based on VMD-CNN-LSTM-self-attention for natural gas load prediction

Abstract As a high-risk production unit, natural gas supply enterprises are increasingly recognizing the need to enhance production safety management. Traditional process warning methods, which rely on fixed alarm values, often fail to adequately account for dynamic changes in the production process...

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Bibliographic Details
Main Authors: Wei Zhao, Bilin Shao, Ning Tian, Wen Zhang, Xue Zhao, Shuqiang Wu
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Interval prediction
Multi-model combination
Early warning
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-85582-2
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https://doi.org/10.1038/s41598-025-85582-2

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