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.
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页数：4
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