Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

Short summary

A novel Long- and Short-term Time-series network (LSTNet) framework, combining CNN, RNN, and autoregressive models, significantly improves multivariate time series forecasting by capturing both short-term dependencies and long-term trends.

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