Short-Term Wind Power Interval Forecasting Based on an EEMD-RT-RVM Model
Accurate short-term wind power forecasting is important for improving the security and economic success of power grids. Existing wind power forecasting methods are mostly types of deterministic point forecasting. Deterministic point forecasting is vulnerable to forecasting errors and cannot effectiv...
Saved in:
| Main Authors: | Haixiang Zang, Lei Fan, Mian Guo, Zhinong Wei, Guoqiang Sun, Li Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2016/8760780 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Short-Term Load Interval Forecasting Method Based on EEMD-SE and PSO-KELM
by: Lin ZHANG, et al.
Published: (2021-03-01) -
Short-Term Wind Speed Prediction Using EEMD-LSSVM Model
by: Aiqing Kang, et al.
Published: (2017-01-01) -
Short-Term Load Forecasting Based on EEMD-WOA-LSTM Combination Model
by: Lei Shao, et al.
Published: (2022-01-01) -
Research on Monthly Runoff Forecast in Dry Seasons Based on GEO-RVM Model
by: ZHANG Yajie, et al.
Published: (2022-01-01) -
Short-term forecast of wind power based on the division of wind speed fluctuation characteristics
by: QIAO Titang, et al.
Published: (2025-05-01)