Monthly Runoff Prediction Based on STL-CEEMDAN-LSTM Model
According to the nonlinear and non-stationary characteristics of monthly runoff sequences, the quadratic decomposition method was combined with machine learning to construct a model for predicting monthly runoff. This model uses a seasonal trend decomposition procedure based on loess (STL) to decomp...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Pearl River
2024-01-01
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| Series: | Renmin Zhujiang |
| Subjects: | |
| Online Access: | http://www.renminzhujiang.cn/thesisDetails?columnId=77779662&Fpath=home&index=0 |
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