Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms

被引：86

作者：

Petkovic, Dalibor ^{[1
]}

Nikolic, Vlastimir ^{[2
]}

Mitic, Vojislav V. ^{[3
]}

Kocic, Ljubisa ^{[4
]}

机构：

[1] Univ Nis, Pedag Fac Vranje, Partizanska 14, Vranje 17500, Serbia

[2] Univ Nis, Fac Mech Engn, Aleksandra Medvedeva 14, Nish 18000, Serbia

[3] Serbian Acad Sci & Art, Inst Tech Sci, Belgrade, Serbia

[4] Univ Nis, Fac Elect Engn, Nish, Serbia

来源：

FLOW MEASUREMENT AND INSTRUMENTATION | 2017年 / 54卷

关键词：

Wind speed; Fractal interpolation; Soft computing; Prediction; COMPLEX TERRAIN; INTERPOLATION; DIRECTION; MODELS;

D O I：

10.1016/j.flowmeasinst.2017.01.007

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Since the wind speed fluctuation could cause large instability in wind energy systems it is crucial to develop a method for precise estimation of the wind speed fluctuation. Fractal interpolation of the wind speed could be used to improve the accuracy of the estimation of the wind speed fluctuation. Based on the self-similarity feature, the fractal interpolation could be established from internal to external interval. In this article fractal interpolation was used to improve the wind speed fluctuation estimation by soft computing methods. Artificial neural network (ANN) with different training algorithms were used in order to estimate the wind speed fluctuation based on the fractal interpolation.

引用

页码：172 / 176

页数：5

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