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Improving the prediction accuracy of river inflow using two data pre-processing techniques coupled with data-driven model
River inflow prediction plays an important role in water resources management and power-generating systems. But the noises and multi-scale nature of river inflow data adds an extra layer of complexity towards accurate predictive model. To overcome this issue, we proposed a hybrid model, Variational...
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| Veröffentlicht in: | PeerJ |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
PeerJ Inc.
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6921981/ https://ncbi.nlm.nih.gov/pubmed/31871832 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.8043 |
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