Wind-speed prediction and analysis based on geological and distance variables using an artificial neural network: A case study in South Korea

作者：Koo Junmo; Han Gwon Deok; Choi Hyung Jong; Shim Joon Hyung^*

来源：Energy, 2015, 93: 1296-1302.

DOI：10.1016/j.energy.2015.10.026

• Wind energy
• Artificial neural networks
• Wind prediction
• Climate data

In this study, we investigate the accuracy of wind-speed prediction at a designated target site using wind-speed data from reference stations that employ an ANN (artificial neural network). The reference and target sites fall into three geographical categories: plains, coast, and mountains of South Korea. Accurate wind-speed predictions are calculated by means of a correlation coefficient between the actual and simulated wind-speed data obtained by ANN. We investigate the effect of the geological characteristics of each category and the distance between reference and target sites on the accuracy of wind-speed prediction using ANN.

• 出版日期2015-12-15