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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2019-12-01
|
| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/8043.pdf |