A hybrid statistical method to predict wind speed and wind power
Renewable EnergyPublished 13 February 2010
Hui Liu, Hong-qi Tian, Chao Chen, Yan-fei Li
Citations254
SJR quartileQ1
SJR score2.08
SNIP2.03
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Abstract
Accurate forecasting of wind speed and wind power is important for the safety of renewable energy utilization. Compared with physical methods, statistical methods are usually simpler and more suitable for small farms. Based on the methods of wavelet and classical time series analysis, a new short-term forecasting method is proposed. Simulation upon actual time data shows that: (1) the mean relative error in multi-step forecasting based on the proposed method is small, which is better than classical time series method and BP network method; (2) the proposed method is robust in dealing with jumping data; and (3) the proposed method is applicable to both wind speed and wind power forecasting.
Keywords
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