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Conference Paper
Causal Analysis of Inter-room Differential Pressure using GC-xLSTM
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- Authors
- Hansol Shin, Joa Hyoung Lee, Yoonmee Doh
- Issue Date
- 2025-11
- Citation
- International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) 2025, pp.302-303
- Language
- English
- Type
- Conference Paper
- Abstract
- Biopharmaceutical cleanrooms require precise differential pressure control for contamination prevention. However, conventional methods fail to capture complex inter-room dynamics. This study applies GC-xLSTM to 126 days of pressure data from 12 cleanroom zones. While Pearson correlation found only two symmetric relationships and VAR-based Granger causality detected 90 undifferentiated connections, GC-xLSTM extracted 11 sparse causal relationships. The analysis revealed Room #4 as the central hub and found that control responses propagate inward through the HVAC network, opposite to the outward airflow direction. These findings reveal the underlying causal structure in biopharmaceutical cleanroom pressure networks.
- KSP Keywords
- Causal Analysis, Causal relationship, Central hub, Conventional methods, Differential pressure, Granger Causality, Pearson correlation, Pressure control, causal structure