Grounding Time-Series Foundation Models in Digital Twin Topology for Predictive Maintenance
Digital twins increasingly support downstream analytical tasks that depend on time-series data, motivating interest in time-series foundation models (TSFMs) as scalable backbones. However, TSFMs are primarily pretrained for temporal continuation and often underperform on unseen tasks such as regression, and systematic...
Si-Zhe Ma, Katherine A. Flanigan, Mario Bergés
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