Article

A foundation model for multivariate time series forecasting

2026-04-03

Abstract excerpt

<title>Abstract</title> <p>Accurate forecasting with uncertainty quantification is critical in a variety of scientific applications ranging from epidemiology and economics to energy systems and earth sciences. Yet most forecasting models still need to be developed and trained separately for each domain-specific dataset. Time series foundation models (TSFMs) aim to remove this limitation and enable the application...

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Literature Corpus work: b094d047-ebc3-59bb-8dad-45b6586acb42
DOI: 10.21203/rs.3.rs-9096522/v1

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