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Ground-Truth-Aware Stress Testing of a Smart-Building Digital Twin Under Sensor Errors
US & West ·
The paper presents a framework for stress-testing digital twins of smart buildings, accounting for sensor errors (drift, noise, missing data) in closed-loop control. Simulations over 20 zones for 30 days compared sensor-driven policies with an oracle controller, quantifying the impact of sensing errors on control outcomes.
Why it matters
It addresses the reliability of digital twins in building control, highlighting how sensor errors affect performance—crucial for trustworthy deployment.
Hanwha Construction, together with E8, Seoul University, and the Korea Institute of Construction Technology, participates in a national project to develop and validate a digital twin-based building energy management simulator using BIM. The project aims to improve energy efficiency.
A decentralized and scalable stability analysis method is proposed for power systems with GFM and GFL converters. Using Davis-Wielandt shells, the impact of heterogeneous GFM integration on system dynamics and stability is analytically derived.
A graph-native acceleration method for graph attention models is proposed to detect attacks in cyber-physical systems. Computational cost grows with neighborhood size, so the acceleration reduces inference latency.
