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

被引：31

作者：

Do, Duy-Phuong N. ^{[2
]}

Lee, Yeonchan ^{[2
]}

Choi, Jaeseok ^{[1
]}

机构：

[1] Gyeongsang Natl Univ, Dept Elect Engn, ERI, RIGET, Jinju Si, Gyeongsangnam D, South Korea

[2] Gyeongsang Natl Univ, Dept Elect Engn, Jinju Si, Gyeongsangnam D, South Korea

来源：

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2016年 / 11卷 / 06期

基金：

新加坡国家研究基金会;

关键词：

Autoregressive moving average processes; Autoregressive processes; Autocorrelation function; Time series model; Wind energy; Wind speed forecast; Wind speed simulation;

D O I：

10.5370/JEET.2016.11.6.1548

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

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.

引用

页码：1548 / 1555

页数：8

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