Research on error distribution of short-term wind power prediction

Short-term wind power prediction is a popular issue in the research field. This paper proposes t location-scale distribution to describe the errors distribution of wind power prediction. Based on the measured data in wind power plants, autoregressive integrated moving average model and back propagat...

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Veröffentlicht in:	Dianli Xitong Baohu yu Kongzhi 2013-06, Vol.41 (12), p.65-70
Hauptverfasser:	Liu, Li-Yang, Wu, Jun-Ji, Meng, Shao-Liang
Format:	Artikel
Sprache:	chi
Schlagworte:	Algorithms Control systems Error analysis Frequency distribution Mathematical models Neural networks Power plants Wind power
Online-Zugang:	Volltext
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