Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2226
Title: Wind speed time series chacacterization hy Hilbert transform
Authors: Alpay, Selda
Bilir, Levent
Özdemir, Serhan
Özerdem, Barış
Keywords: Wind power
Discrete Hilbert transform
Wind speed characterization
Wind speed estimation
Issue Date: Apr-2006
Publisher: John Wiley and Sons Inc.
Source: Alpay, S., Bilir, L., Özdemir, S., and Özerdem, B. (2006). Wind speed time series chacacterization hy Hilbert transform. International Journal of Energy Research, 30(5), 359-364. doi:10.1002/er.1156
Abstract: Predictions of wind energy potential in a given region are based on on-location observations. The time series of these observations would later be analysed and modelled either by a probability density function (pdf) such as a Weibull curve to represent the data or recently by soft computing techniques, such as neural networks (NNs). In this paper, discrete Hilbert transform has been applied to characterize the wind sample data measured on Izmir Institute of Technology campus area which is located in Urla, Izmir, Turkey, in March 2001 and 2002. By applying discrete Hilbert transform filter, the instantaneous amplitude, phase and frequency are found, and characterization of wind speed is acomplished. Authors have also tried to estimate the hourly wind data using daily sequence by Hilbert transform technique. Results are varying.
URI: http://doi.org/10.1002/er.1156
http://hdl.handle.net/11147/2226
ISSN: 0363-907X
0363-907X
Appears in Collections:Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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