文献
J-GLOBAL ID:201802235858888729
整理番号:18A1935708
エネルギープール市場に参加する風力発電所のための機械学習に基づく確率的最適化フレームワーク【JST・京大機械翻訳】
A machine learning based stochastic optimization framework for a wind and storage power plant participating in energy pool market
著者 (6件):
Crespo-Vazquez Jose L.
(Dept. of Electrical Engineering, University of Vigo, Campus Lagoas-Marcosende, 36310 Vigo, Spain)
,
Carrillo C.
(Dept. of Electrical Engineering, University of Vigo, Campus Lagoas-Marcosende, 36310 Vigo, Spain)
,
Diaz-Dorado E.
(Dept. of Electrical Engineering, University of Vigo, Campus Lagoas-Marcosende, 36310 Vigo, Spain)
,
Martinez-Lorenzo Jose A.
(Dept. of Mechanical and Industrial Engineering, Northeastern University, 360 Huntington Avenue, 02115 Boston, MA, USA)
,
Martinez-Lorenzo Jose A.
(Dept. of Electrical and Computer Engineering, Northeastern University, 360 Huntington Avenue, 02115 Boston, MA, USA)
,
Noor-E-Alam Md.
(Dept. of Mechanical and Industrial Engineering, Northeastern University, 360 Huntington Avenue, 02115 Boston, MA, USA)
資料名:
Applied Energy
(Applied Energy)
巻:
232
ページ:
341-357
発行年:
2018年
JST資料番号:
A0097A
ISSN:
0306-2619
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)