Improving the accuracy of global forecasting models using time series data augmentation

Author:

Bandara Kasun,Hewamalage Hansika,Liu Yuan-Hao,Kang Yanfei,Bergmeir Christoph

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference79 articles.

1. Criteria for classifying forecasting methods;Januschowski;Int. J. Forecast.,2020

2. Forecasting with exponential smoothing: The state space approach;Hyndman,2008

3. Time series analysis: Forecasting and control;Box,2015

4. A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting;Smyl;Int J Forecast,2020

5. Deepar: probabilistic forecasting with autoregressive recurrent networks;Salinas;Int J Forecast,2020

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