Appendix
–Neural Information Processing Systems
Section A. Then, we provide extra experimental results in Section B. In Section C, we present details Each data point includes an "oil temperature" value and For data pre-processing, we perform zero-mean normalization, i.e., Table 8: The error bars of SCINet with 5 runs on the ETTh1 dataset.T Metrics Seed 1 Seed 2 Seed 3 Seed 4 Seed 5 Mean Std. The prediction horizon is fixed to be 24 . Our code is implemented with PyTorch. SXM2 GPU (32GB memory), which is sufficient for all our experiments. To enhance the performance in single-step (short-term time series forecasting Sec.
Neural Information Processing Systems
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