Attention-Based Convolutional Aggregation: An Efficient Model for Off-Gas Profile Forecasting and Dynamic Pre-Control of BOF Steelmaking

Attention-Based Convolutional Aggregation: An Efficient Model for Off-Gas Profile Forecasting and Dynamic Pre-Control of BOF Steelmaking

Abstract This study proved that the curves of carbon monoxide (CO), carbon dioxide (CO2), and CO + CO2 in the off-gas profile were forecastable, and realized a 32-s-ahead forecasting for them. It established a technical foundation for addressing the delay in off-gas profile display and for enabling...

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Bibliographic Details
Main Authors: Tian-yi Xie, Jun-guo Zhang, Lan-jie Li, Fei Zhang, Shuai Liu, Han-jie Guo
Format: Article
Language:English
Published: Springer 2024-12-01
Series:International Journal of Computational Intelligence Systems
Subjects:
BOF steelmaking
Pre-control
Off-gas profile
Time-series forecasting
Deep-learning
External validation
Online Access:https://doi.org/10.1007/s44196-024-00713-3
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https://doi.org/10.1007/s44196-024-00713-3

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