Time Series Foundation Models in Predictive Building Analytics - A Critical Analysis

Explore a 16-minute ACM conference presentation examining the potential impact of time series foundation models on predictive building analytics. Delve into research findings from multiple authors investigating whether these advanced models can transform how we analyze and predict building performance data. Learn about the current capabilities, limitations, and future possibilities of applying foundation models to building systems, with insights from experts Ozan Baris Mulayim, Pengrui Quan, Liying Han, Xiaomin Ouyang, Dezhi Hong, Mario Bergés, and Mani Srivastava as they evaluate the readiness of this technology for real-world building applications.