Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Hourly Average Wind Speed Simulation and Forecast Based on ARMA Model in Jeju Island, Korea

  • Do, Duy-Phuong N. (Dept. of Electrical Engineering, Gyeongsang National University) ;
  • Lee, Yeonchan (Dept. of Electrical Engineering, Gyeongsang National University) ;
  • Choi, Jaeseok (Dept. of Electrical Engineering, ERI, RIGET, Gyeongsang National University)
  • Received : 2015.06.25
  • Accepted : 2016.07.28
  • Published : 2016.11.01
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Abstract

This paper presents an application of time series analysis in hourly wind speed simulation and forecast in Jeju Island, Korea. Autoregressive - moving average (ARMA) model, which is well in description of random data characteristics, is used to analyze historical wind speed data (from year of 2010 to 2012). The ARMA model requires stationary variables of data is satisfied by power law transformation and standardization. In this study, the autocorrelation analysis, Bayesian information criterion and general least squares algorithm is implemented to identify and estimate parameters of wind speed model. The ARMA (2,1) models, fitted to the wind speed data, simulate reference year and forecast hourly wind speed in Jeju Island.

Keywords

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Cited by

  1. Analyzing the correlation and predictability of wind speed series based on mutual information pp.19314973, 2018, https://doi.org/10.1002/tee.22789