A decomposition-guided mechanism for nonstationary time series forecasting
Time series forecasting has been playing an important role in decision making, control, and monitoring across various fields. Specifically, the forecasting of nonstationarity time series remains a challenging problem where traditional time series modeling may not fully capture temporal dynamics. Rec...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2024-01-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/5.0153647 |