文献
J-GLOBAL ID:202002238322390843
整理番号:20A2121639
改良フィードフォワードニューラルネットワークに基づく電力系統の短期負荷予測【JST・京大機械翻訳】
Short-term Load Forecasting of PowerSystem Based on Improved Feedforward Neural Network
著者 (8件):
Zhao Wenbo
(The school of Information and Control Engineering, Liaoning Shihua University, Fushun Liaoning 113001, China)
,
Zhao Wenbo
(National Experimental Teaching Demonstration Center of Petrochemical Process Control, Fushun Liaoning 113001, China)
,
Liu Xiaoqin
(The school of Information and Control Engineering, Liaoning Shihua University, Fushun Liaoning 113001, China)
,
Liu Xiaoqin
(National Experimental Teaching Demonstration Center of Petrochemical Process Control, Fushun Liaoning 113001, China)
,
Li Chengyu
(The school of Information and Control Engineering, Liaoning Shihua University, Fushun Liaoning 113001, China)
,
Li Chengyu
(National Experimental Teaching Demonstration Center of Petrochemical Process Control, Fushun Liaoning 113001, China)
,
Zhang Fengwei
(State Grid Huludao Electric Power Supply Company, Huludao Liaoning 125000, China)
,
Wang Qian
(China petroleum Fushun Petrochemical Company Thermal Power Plant, Fushun Liaoning 113008, China)
資料名:
Journal of Physics: Conference Series
(Journal of Physics: Conference Series)
巻:
1549
号:
5
ページ:
052095 (6pp)
発行年:
2020年
JST資料番号:
W5565A
ISSN:
1742-6588
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)