文献
J-GLOBAL ID:202002276040295921
整理番号:20A2280799
深層学習法に基づく受信端システムのための周波数セキュリティ評価【JST・京大機械翻訳】
Frequency Security Assessment for Receiving-end System Based on Deep Learning Method
著者 (7件):
Ma Changhui
(Electric Power Research Institute,State Grid Shandong Electric Power Company,Jinan Shandong,China)
,
Wang Liang
(Dispatch and Control Center,State Grid Shandong Electrical Power Company,Jinan Shandong,China)
,
Gai Chenhao
(Shandong University,Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education,Jinan Shandong,China)
,
Yang Dong
(Electric Power Research Institute,State Grid Shandong Electric Power Company,Jinan Shandong,China)
,
Zhang Pengfei
(State Grid International Development Limited,Beijing,China)
,
Zhang Hengxu
(Shandong University,Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education,Jinan Shandong,China)
,
Li Changgang
(Shandong University,Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education,Jinan Shandong,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
I&CPS Asia
ページ:
831-836
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)