Correlated Time Series Forecasting
2 papers with code • 4 benchmarks • 4 datasets
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Most implemented papers
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Many deep learning models have been proposed to improve the accuracy of CTS forecasting.
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping
We evaluated the effectiveness and flexibility of our representation learning framework on correlated time series forecasting and cold-start transferring the forecasting model to new instances with limited data.