Method selection in different regions for short-term wind speed prediction in Japan

Ikki Tanaka, Hiromitsu Ohmori

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

Recently, many approaches have been proposed in wind speed prediction. However they are verified only in certain areas, and have not been a quantitative verification in many different locations. Therefore, this paper used the data of the various parts of Japan for the one-step-ahead prediction, and applied a number of different approaches to each point. And then it was evaluated such as MAE. These models are persistent model, ARMA-GARCH model, non-linear autoregressive network with an external input (NARX), recurrent neural network (RNN), and support vector regression (SVR). From the results of the numerical simulation at each point, this paper presents the results that it is difficult to create the same model which minimize the error in all areas, and there is a need to create a predictor for each region.

本文言語English
ホスト出版物のタイトル2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ189-194
ページ数6
ISBN(印刷版)9784907764487
DOI
出版ステータスPublished - 2015 9月 30
イベント54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China
継続期間: 2015 7月 282015 7月 30

Other

Other54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
国/地域China
CityHangzhou
Period15/7/2815/7/30

ASJC Scopus subject areas

  • 制御およびシステム工学

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