文献
J-GLOBAL ID:202002283314223123
整理番号:20A0971647
Chaos理論とABC最適化RBFニューラルネットワークに基づく風力の超短期予測【JST・京大機械翻訳】
Ultra-Short-Term Prediction of Wind Power Based on Chaos Theory and ABC Optimized RBF Neural Network
著者 (4件):
Cui Yang
(Ministry of Education (Northeast Electric Power University),Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ji Lin,China)
,
Yan Shi
(Ministry of Education (Northeast Electric Power University),Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ji Lin,China)
,
Zhang Huiquan
(Ministry of Education (Northeast Electric Power University),Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ji Lin,China)
,
Huang Siyu
(Ministry of Education (Northeast Electric Power University),Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ji Lin,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
CIEEC
ページ:
1422-1427
発行年:
2019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)