Coal spontaneous combustion temperature prediction model for goaf area based on GAT-Informer

Coal spontaneous combustion temperature prediction model for goaf area based on GAT-Informer

The existing coal spontaneous combustion temperature prediction models only consider the temporal correlation of the monitoring data, ignoring the spatial relationships between monitoring points, and suffer from low accuracy in multi-step temperature prediction of coal spontaneous combustion. To add...

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Bibliographic Details
Main Authors: JIA Pengtao, ZHANG Jie, GUO Fengjing
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2024-11-01
Series:Gong-kuang zidonghua
Subjects:
coal spontaneous combustion
coal spontaneous combustion temperature prediction
multi-step time series prediction
graph attention network
informer
spatiotemporal data features
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024080022
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http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024080022

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