Details

Autor(en) / Beteiligte

• Do, Duy-Phuong N.
• Lee, Yeonchan
• Choi, Jaeseok

Titel

Hourly Average Wind Speed Simulation and Forecast Based on ARMA Model in Jeju Island, Korea

Ist Teil von

• Journal of Electrical Engineering & Technology, 2016, 11(6), , pp.1548-1555

Ort / Verlag

대한전기학회

Erscheinungsjahr

2016

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• 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. KCI Citation Count: 2