A DMD-based time embedding, built from sine and cosine functions at data-derived frequencies, improves long-horizon spatiotemporal forecasting accuracy in most tested settings.
Time series analysis: forecasting and control
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Dynamic Modes as Time Representation for Spatiotemporal Forecasting
A DMD-based time embedding, built from sine and cosine functions at data-derived frequencies, improves long-horizon spatiotemporal forecasting accuracy in most tested settings.