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

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...

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Bibliographic Details
Main Authors: Moslem Imani, Hoda Fakour, Wen-Hau Lan, Huan-Chin Kao, Chi Ming Lee, Yu-Shen Hsiao, Chung-Yen Kuo
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Atmosphere
Subjects:
wind speed
time series
forecasting
deep learning
uncertainty
Online Access:https://www.mdpi.com/2073-4433/12/7/924

Internet

https://www.mdpi.com/2073-4433/12/7/924

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