Wind Power Forecasting Using Neural Network Ensembles With Feature Selection
In this paper, a novel ensemble method consisting of neural networks, wavelet transform, feature selection, and partial least-squares regression (PLSR) is proposed for the generation forecasting of a wind farm. Based on the conditional mutual information, a feature selection technique is developed t...
| Main Authors: | , , |
|---|---|
| Drugi avtorji: | |
| Format: | Journal Article |
| Jezik: | English |
| Izdano: |
2016
|
| Teme: | |
| Online dostop: | https://hdl.handle.net/10356/80608 http://hdl.handle.net/10220/40549 |