A framework that retrieves time-lagged correlated series via a shifted dynamic time warping distance, or a learned approximation of it, and uses them as auxiliary inputs to improve time series forecasting.
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TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations
A framework that retrieves time-lagged correlated series via a shifted dynamic time warping distance, or a learned approximation of it, and uses them as auxiliary inputs to improve time series forecasting.