SPATIOTEMPORAL GRAPH PHYSICS-INFORMED NEURAL NETWORKS FOR DATA CENTER THERMAL MODELING
Accurate thermal modeling is the precondition for improving energy efficiency and operational reliability of data centers (DCs). However, airflow circulation and workloads cause the temperature field of DCs to exhibit complex spatiotemporal variations. Conventional data-driven models formulate temperature prediction as...