Keivan Faghih Niresi
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2026
Relational and Sequential Conformal Inference for Energy Time Series over Graphs via Foundation Models
This paper proposes STOIC, a framework that integrates graph-based forecasting with tabular foundation models for uncertainty quantification in energy demand forecasting using spatial-temporal graph neural networks.
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