Smart Grid and Renewable Energy
Vol.4 No.6A(2013), Paper ID 36575, 7
pages
DOI:10.4236/sgre.2013.46A004
Decision Technique of Solar Radiation Prediction Applying Recurrent Neural Network for Short-Term Ahead Power Output of Photovoltaic System
Atsushi Yona, Tomonobu Senjyu, Toshihisa Funabashi, Paras Mandal, Chul-Hwan Kim
University of the Ryukyus, Okinawa, Japan; 2Meidensha Corporation, Tokyo, Japan
University of the Ryukyus, Okinawa, Japan; 2Meidensha Corporation, Tokyo, Japan
Meidensha Corporation, Tokyo, Japan
University of Texas at El Paso, El Paso, USA
Sungkyunkwan University, Suwon City, South Korea
Copyright © 2013 Atsushi Yona, Tomonobu Senjyu, Toshihisa Funabashi, Paras Mandal, Chul-Hwan Kim et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
A. Yona, T. Senjyu, T. Funabashi, P. Mandal and C. Kim, "Decision Technique of Solar Radiation Prediction Applying Recurrent Neural Network for Short-Term Ahead Power Output of Photovoltaic System,"
Smart Grid and Renewable Energy, Vol. 4 No. 6A, 2013, pp. 32-38. doi:
10.4236/sgre.2013.46A004.