Wind Power Prediction Based on Time Series Method and Neural Network Method
The accuracy of wind power prediction is important for the power system operation. Based on BP neural network for direct forecasting and time series method for indirect forecasting, the wind turbine output prediction of 4 hours in advance was studied in this paper. Also the two methods mentioned abo...
Saved in:
| Main Authors: | MA Rui, HU Shuju, XU Honghua |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2013-01-01
|
| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2013.03.002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improving the accuracy and interpretability of neural networks for wind power forecasting
by: Wenlong Liao, et al.
Published: (2025-10-01) -
Short-term active power forecasting for wind farms using artificial neural networks
by: Thanh Hai Dinh, et al.
Published: (2025-03-01) -
Short-term active power forecasting for wind farms using artificial neural networks
by: Thanh Hai Dinh, et al.
Published: (2025-03-01) -
THE APPLICATION OF RIDGE REGRESSION METHODS WHEN COMBINING FORECASTS
by: A. A. Frenkel’, et al.
Published: (2018-10-01) -
An Effective Summary Preprocessing Method for Time Series Forecasting With Multiple Temporal Granularities
by: Hyeseong Lee, et al.
Published: (2025-01-01)