FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting

Author:

Chen Rui,Cui Wei,Zhang Haitao,Han Qilong

Publisher

Springer Nature Singapore

Reference19 articles.

1. Ariyo, A.A., Adewumi, A.O., Ayo, C.K.: Stock price prediction using the ARIMA model. In: 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, pp. 106–112. IEEE (2014)

2. Borovykh, A., Bohte, S., Oosterlee, C.W.: Conditional time series forecasting with convolutional neural networks. stat 1050, 17 (2018)

3. Box, G.E., Jenkins, G.M., MacGregor, J.F.: Some recent advances in forecasting and control. J. Roy. Stat. Soc.: Ser. C (Appl. Stat.) 23(2), 158–179 (1974)

4. Cleveland, R.B., Cleveland, W.S., McRae, J.E., Terpenning, I.: STL: a seasonal-trend decomposition. J. Off. Stat 6(1), 3–73 (1990)

5. Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Ann. Stat. 29(5), 1189–1232 (2001)

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