Study on Short-Term Wind Power Prediction Model Based on ARMA Theory
2013 ◽
Vol 448-453
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pp. 1875-1878
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At present, the difficulty of wind power integration has resulted in a large number of wind curtailment phenomena and wasted a lot of renewable energy. Due to the significant instability, anti-peak-regulation and intermittency of wind power, wind power integration needs an accurate prediction technique to be a basis. ARMA model has the advantage of high prediction accuracy in predicting short-term wind power. This paper puts forward the method for short-term wind power prediction using ARMA model and carries out empirical analysis using the data from a wind farm of Jilin province, which shows the science and operability of the proposed model. It provides a new research method for the wind power prediction.
2013 ◽
Vol 448-453
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pp. 1835-1839
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2012 ◽
Vol 224
◽
pp. 401-405
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2013 ◽
Vol 24
(3)
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pp. 585-592
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2021 ◽
Vol 898
(1)
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pp. 012001
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2015 ◽
Vol 135
(1)
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pp. 81-89
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