Presentation Information
[1I07-02]Causality-driven, interpretable surrogate modeling for DOAS preheating control
*Jeeye Mun1, Hyeong-Gon Jo1, Jin-Hong Kim1, Cheol-Soo Park1, Eiji Urabe2, Junghyon Mun2, Yongsung Park2 (1. Seoul National University (Korea), 2. Samsung C&T (Korea))
Keywords:
dedicated outdoor air system (DOAS),preheating coil,surrogate modeling,interpretable model,causal inference,double machine learning (DML),real-world building data