文献
J-GLOBAL ID:202102263885059206
整理番号:21A0010112
BPニューラルネットワークと修正SCADAデータに基づく送電線パラメータのためのロバストな同定法【JST・京大機械翻訳】
A robust identification method for transmission line parameters based on BP neural network and modified SCADA data
著者 (9件):
Lu Min
(State Grid Zhejiang Electric Power Company,Electric power dispatching control center,Hangzhou,China)
,
Jin Xueqi
(State Grid Zhejiang Electric Power Company,Electric power dispatching control center,Hangzhou,China)
,
Wang Xiaozhong
(State Grid Zhejiang Electric Power Company,Huzhou Power Supply Company,Huzhou,China)
,
Xu Yan
(State Grid Zhejiang Electric Power Company,Huzhou Power Supply Company,Huzhou,China)
,
Wang Yangyingfu
(State Grid Zhejiang Electric Power Company,Huzhou Power Supply Company,Huzhou,China)
,
Kong He
(North China Electric Power University,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source,Beijing,China)
,
Gu Lei
(North China Electric Power University,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source,Beijing,China)
,
Luo Kaiyang
(North China Electric Power University,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source,Beijing,China)
,
Xue Ancheng
(North China Electric Power University,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source,Beijing,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ICEI
ページ:
92-97
発行年:
2020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)