Application of Rough and Fuzzy Set Theory for Prediction of Stochastic Wind Speed Data Using Long Short-Term Memory

Despite the great significance of precisely forecasting the wind speed for development of the new and clean energy technology and stable grid operators, the stochasticity of wind speed makes the prediction a complex and challenging task. For improving the security and economic performance of power g...

詳細記述

書誌詳細

出版年:	Atmosphere
主要な著者:	Moslem Imani, Hoda Fakour, Wen-Hau Lan, Huan-Chin Kao, Chi Ming Lee, Yu-Shen Hsiao, Chung-Yen Kuo
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2021-07-01
主題:	wind speed time series forecasting deep learning uncertainty
オンライン･アクセス:	https://www.mdpi.com/2073-4433/12/7/924