Application of Long-Short-Term-Memory Recurrent Neural Networks to Forecast Wind Speed

Application of Long-Short-Term-Memory Recurrent Neural Networks to Forecast Wind Speed

Forecasting wind speed is one of the most important and challenging problems in the wind power prediction for electricity generation. Long short-term memory was used as a solution to short-term memory to address the problem of the disappearance or explosion of gradient information during the trainin...

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Bibliographic Details
Main Authors:	Meftah Elsaraiti, Adel Merabet
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Applied Sciences
Subjects:	forecasting long-short-term memory multiple time series RNN wind speed
Online Access:	https://www.mdpi.com/2076-3417/11/5/2387

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