V
Vlastimir Nikolić
Researcher at University of Niš
Publications - 66
Citations - 1577
Vlastimir Nikolić is an academic researcher from University of Niš. The author has contributed to research in topics: Adaptive neuro fuzzy inference system & Wind speed. The author has an hindex of 20, co-authored 63 publications receiving 1291 citations.
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Journal ArticleDOI
Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission
Dalibor Petković,Žarko Ćojbašić,Vlastimir Nikolić,Shahaboddin Shamshirband,Miss Laiha Mat Kiah,Nor Badrul Anuar,Ainuddin Wahid Abdul Wahab +6 more
TL;DR: In this paper, an adaptive neuro-fuzzy inference system (ANFIS) based controller for variable-speed operation of a wind turbine was proposed to improve the wind energy available in an erratic wind speed regime.
Journal ArticleDOI
Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation
TL;DR: The adaptive neuro-fuzzy inference system (ANFIS) is designed and adapted to estimate optimal power coefficient value of the wind turbines and simulation results presented in this paper show the effectiveness of the developed method.
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Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission
Shahaboddin Shamshirband,Dalibor Petković,Amineh Amini,Nor Badrul Anuar,Vlastimir Nikolić,Žarko Ćojbašić,Miss Laiha Mat Kiah,Abdullah Gani +7 more
TL;DR: In this paper, the polynomial and radial basis function (RBF) are applied as the kernel function of Support Vector Regression (SVR) for prediction of wind turbine reaction torque.
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Wind speed parameters sensitivity analysis based on fractals and neuro-fuzzy selection technique
TL;DR: The neuro-fuzzy approach was used to detect the most important variables which affect the wind speed according to the fractal dimensions and the main goal was to investigate the influence of terrain roughness length and different heights of theWind speed prediction.
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Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms
TL;DR: Artificial neural network with different training algorithms were used in order to estimate the wind speed fluctuation based on the fractal interpolation to improve the windspeed fluctuation estimation by soft computing methods.