The application of neural network in wind speed forecasting

Shih Hua Huang, Ko Ming Mu, Ping Yuan Lu, Chao Yang Tsao, Yih-Guang Leu, Li Fen Chou

研究成果: 書貢獻/報告類型會議論文篇章

10 引文 斯高帕斯(Scopus)

摘要

Usually, a typical wind turbine system cannot generate electricity power consistently, because the power outputs are heavily depended on wind speed. However, terrain, temperature, humidity and other factors can also affect wind speed. Therefore, wind power forecasting is a complex, multi-dimensional, and highly non-linear system. Neural network is able to learn the relationship between system inputs and outputs without mathematical conversion, and perform complex non-linear mapping, data classification, knowledge processing, and so forth. In addition, neural network also has the ability of parallel processing to reduce computing time, so it is suitable for wind power forecasting. The purpose of this paper is to use neural network technology to design a wind power forecasting system. Moreover, the efficiency analysis of the proposed wind power forecasting system in Kinmen farm is described. Finally, we use MATLAB to implement the proposed wind power forecasting system in Kinmen farm, which is capable of forecast within 48-hours ahead.

原文英語
主出版物標題ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control
發行者Institute of Electrical and Electronics Engineers Inc.
頁面366-370
頁數5
ISBN(電子)9781479980697
DOIs
出版狀態已發佈 - 2015 六月 1
事件2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015 - Taipei, 臺灣
持續時間: 2015 四月 92015 四月 11

出版系列

名字ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control

其他

其他2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015
國家/地區臺灣
城市Taipei
期間2015/04/092015/04/11

ASJC Scopus subject areas

  • 儀器
  • 控制與系統工程
  • 電腦網路與通信

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