Art

J-GLOBAL ID：201802285964451150   Reference number：18A1601324

Wind Speed Prediction Model Using LSTM and 1D-CNN

LSTMと1D-CNNを用いた風速予測モデル

Author (5)： Fukuoka Rui (Graduate School of Advanced Technology and Science, Tokushima University) ,  Suzuki Hiroshi (Graduate School of Advanced Technology and Science, Tokushima University) ,  Kitajima Takahiro (Graduate School of Advanced Technology and Science, Tokushima University) ,  Kuwahara Akinobu (Graduate School of Advanced Technology and Science, Tokushima University) ,  Yasuno Takashi (Graduate School of Advanced Technology and Science, Tokushima University)
Material： Journal of Signal Processing (Web)  (信号処理(Web))
Volume： 22  Issue： 4  Page： 207-210(J-STAGE)  Publication year： 2018 
JST Material Number： U0425A  ISSN： 1880-1013  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： forecast ,  *prediction model ,  *neural network (biomodel) ,  data ,  accuracy ,  network structure ,  *wind speed ,  LSTM neural network ,  longitudinal data ,  wind speed prediction ,  prediction accuracy ,  *model
Semi thesaurus term： *convolutional neural network

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Neurocomputers  (JC06010Q)

Reference (4)：

• [1] S. Yoshida, H. Suzuki, T. Kitajima, A. M. Kassim and T. Yasuno: Correction method of wind speed prediction system using predicted wind speed fluctuation, SICE Annual Conference, No. Th2bPo5.5, pp. 1054-1059, Sept. 2016.
• [2] K. Greff, R. K. Srivastava, J. Koutn'k, B. R. Steunebrink and J. Schmidhuber: LSTM: A search space odyssey, arXiv: 1503.04069v2, Oct. 2017.
• [3] F. A. Gers, J. Schmidhuber and F. Cummins: Learning to forget: Continual prediction with LSTM, Technical Report IDSIA-01-99, Jan. 1999.
• [4] S. Tokui, K. Oono, S. Hido and J. Clayton: Chainer: A next-generation open source framework for deep Learning, NIPS Workshop on Machine Learning Systems at Neural Information Processing Systems, Dec. 2015.

Terms in the title (5)： LSTM ,  1D ,  CNN ,  風速予測 ,  モデル