Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA
The accuracy of wind speed forecasting is important to control, and optimize renewable wind power generation. The nonlinearity in the patterns of wind speed data is the reason of inaccurate wind speed forecasting using a linear autoregressive integrated moving average (ARIMA) model. The inaccurate f...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
Elsevier Ltd
2015
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58203/ http://dx.doi.org/10.1016/j.renene.2014.11.084 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |
Be the first to leave a comment!