Generating Time Series by Using Latent Space

Author:

Cui Xinyu,Zhang ChunkaiORCID

Publisher

Springer Nature Singapore

Reference25 articles.

1. ECL load. https://archive.ics.uci.edu/ml/datasets/ElectricityLoadDiagrams20112014

2. Liu, S., et al.: Pyraformer: low-complexity pyramidal attention for long-range time series modeling and forecasting. In International Conference on Learning Representations, May 2021

3. Qi, X., Hou, K., Liu, T., Yu, Z., Hu, S., Ou, W.: From known to unknown: knowledge-guided transformer for time-series sales forecasting in Alibaba. arXiv preprint arXiv:2109.08381 (2021)

4. Zhou, H., et al.: Informer: beyond efficient transformer for long sequence time-series forecasting. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 12, pp. 11106–11115, May 2021

5. Lim, B., Arık, S.Ö., Loeff, N., Pfister, T.: Temporal fusion transformers for interpretable multi-horizon time series forecasting. Int. J. Forecast. 37(4), 1748–1764 (2021)

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