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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-12-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-024-00713-3 |
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