文献
J-GLOBAL ID:201702219887438822
整理番号:17A0023204
天気予報と深い機械学習法による分散再生可能エネルギーシステムの最適化【Powered by NICT】
Optimization of decentralized renewable energy system by weather forecasting and deep machine learning techniques
著者 (8件):
Sogabe Tomah
(i-Powered Energy Research Center (i-PERC) The University of Electro-Communications, Tokyo, Japan)
,
Ichikawa Haruhisa
(i-Powered Energy Research Center (i-PERC) The University of Electro-Communications, Tokyo, Japan)
,
Sogabe Tomah
(Department of Engineering Science, The University of Electro-Communications, Tokyo, Japan)
,
Sakamoto Katsuyoshi
(Department of Engineering Science, The University of Electro-Communications, Tokyo, Japan)
,
Yamaguchi Koichi
(Department of Engineering Science, The University of Electro-Communications, Tokyo, Japan)
,
Sogabe Masaru
(Grid Inc. Tokyo, Japan)
,
Sato Takashi
(Grid Inc. Tokyo, Japan)
,
Suwa Yusuke
(Grid Inc. Tokyo, Japan)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
ISGT-Asia
ページ:
1014-1018
発行年:
2016年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)