Ultra-short-term forecast of wind speed and wind power based on morphological high frequency filter and double similarity search algorithm

2019 ◽  
Vol 104 ◽  
pp. 868-879 ◽  
Author(s):  
D.Y. Hong ◽  
T.Y. Ji ◽  
M.S. Li ◽  
Q.H. Wu
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
High Frequency ◽  
Similarity Search ◽  
Search Algorithm ◽  
Frequency Filter ◽  
Short Term ◽  
Short Term Forecast ◽  
Term Forecast

Short-Term Forecast and Error Analysis of Wind Power Based on Weight Factors

2014 ◽  
Vol 1008-1009 ◽  
pp. 137-143
Author(s):  
Ying Jie Qin ◽  
Shan Song ◽  
Bin Shi ◽  
Zhen Jian Xie ◽  
Li Wei Qiao
Keyword(s):  
Wind Power ◽  
Wind Velocity ◽  
Large Scale ◽  
Power Grid ◽  
Real Data ◽  
Power Prediction ◽  
Short Term ◽  
Short Term Forecast ◽  
Term Forecast ◽  
Weight Factors

For power grid with large-scale wind energy, the short-term wind power prediction is important to the grid’s scheduling and stable operating. The overall short-term forecast for wind power connected to the grid relies on the wind velocity and historical power data. Firstly, K-means clustering is introduced to model the power grid, so that the relationship between wind velocity and power can be perfectly described. Considering that there are multiple factors contributing to the prediction of wind velocity and power, we use real data of 15 wind generating set to obtain dependable weight factors of all those dimensions. With the support of mass data, the prediction of power is proved by several measurements (ME, MRE, MAE, RMSE) to be accurate.

scholarly journals Short-term forecast of wind speed through mathematical models

2019 ◽  
Vol 5 ◽  
pp. 1172-1184 ◽  
Author(s):  
Moniki Ferreira ◽  
Alexandre Santos ◽  
Paulo Lucio
Keyword(s):  
Wind Speed ◽  
Mathematical Models ◽  
Short Term ◽  
Short Term Forecast ◽  
Term Forecast
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