A Study on Wind Speed Prediction using Artificial Neural Network at Jeju Island in Korea II

被引：0

作者：

Zhang, Fengming ^{[1
]}

Cho, Kyeonghee ^{[1
]}

Choi, Jaeseok ^{[1
]}

Lee, Young-Mi ^{[2
]}

Lee, Kwang Y. ^{[3
]}

机构：

[1] Gyeongsang Natl Univ, Jinju, GN, South Korea

[2] Ecobrain, Seoul, South Korea

[3] Baylor Univ, Waco, TX 76798 USA

来源：

2011 IEEE 54TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2011年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wind power is one of the most successfully utilized of renewable sources to produce electrical energy. The available wind energy depends on the wind speed, which is a random variable. For the wind-farm operator, this poses difficulty in the system scheduling and energy dispatching, as the schedule of the wind-power availability is not known in advance. This paper proposes to use the two-layered artificial neural networks for predicting the actual wind speed from the previous values of the same variable.

引用

页数：4

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