Conference Paper

A study on wind speed prediction using artificial neural network at Jeju Island in Korea

Dept. of Electr. Eng., Gyeongsang Nat. Univ., Jinju, South Korea
DOI: 10.1109/TD-ASIA.2009.5356873 Conference: Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009
Source: IEEE Xplore


The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind power is one of the most successfully utilized of such 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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