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Dynamic characterization and predictability analysis of wind speed and wind power time series in Spain wind farm

Credit to Download: 1 | Page Numbers 14 | Abstract Views: 73
Year: 2016
COI code: JR_JADM-4-1_012
Paper Language: English

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Authors Dynamic characterization and predictability analysis of wind speed and wind power time series in Spain wind farm

  N. Bigdeli - EE Department, Imam Khomeini International University, Qazvin, Iran.
  H. Sadegh Lafmejani - EE Department, Imam Khomeini International University, Qazvin, Iran.

Abstract:

The renewable energy resources such as wind power have recently attracted more researchers’ attention. It is mainly due to the aggressive energy consumption, high pollution and cost of fossil fuels. In this era, the future fluctuations of these time series should be predicted to increase the reliability of the power network. In this paper, the dynamic characteristics and short-term predictability of hourly wind speed and power time series are investigated via nonlinear time series analysis methods such as power spectral density analysis, time series histogram, phase space reconstruction, the slope of integral sums, the   method, the recurrence plot and the recurrence quantification analysis. Moreover, the interactive behavior of the wind speed and wind power time series is studied via the cross correlation, the cross and joint recurrence plots as well as the cross and joint recurrence quantification analyses. The results imply stochastic nature of these time series. Besides, a measure of the short-term mimic predictability of the wind speed and the underlying wind power has been derived for the experimental data of Spain’s wind farm.

Keywords:

Stochastic Behavior, Recurrence Plot, Recurrence Quantification Analysis, Time Series Analysis, Wind Speed, Wind Power

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COI code: JR_JADM-4-1_012

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Bigdeli, N. & H. Sadegh Lafmejani, 2016, Dynamic characterization and predictability analysis of wind speed and wind power time series in Spain wind farm, Journal of Artificial Intelligence & Data Mining 4 (1), https://www.civilica.com/Paper-JR_JADM-JR_JADM-4-1_012.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Bigdeli, N. & H. Sadegh Lafmejani, 2016)
Second and more: (Bigdeli & Sadegh Lafmejani, 2016)
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Scientometrics

The University/Research Center Information:
Type: state university
Paper No.: 5021
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