Wind Speed and Solar Irradiance Prediction Using a Bidirectional Long Short-Term Memory Model Based on Neural Networks

Wind Speed and Solar Irradiance Prediction Using a Bidirectional Long Short-Term Memory Model Based on Neural Networks

The rapid growth of wind and solar energy penetration has created critical issues, such as fluctuation, uncertainty, and intermittence, that influence the power system stability, grid operation, and the balance of the power supply. Improving the reliability and accuracy of wind and solar energy pred...

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Bibliographic Details
Main Authors:	Fahad Radhi Alharbi, Denes Csala
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Series:	Energies
Subjects:	bidirectional neural networks BI-LSTM model prediction solar irradiance wind speed
Online Access:	https://www.mdpi.com/1996-1073/14/20/6501

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