BiLSTM Network-Based Approach for Solar Irradiance Forecasting in Continental Climate Zones

BiLSTM Network-Based Approach for Solar Irradiance Forecasting in Continental Climate Zones

Recent research on solar irradiance forecasting has attracted considerable attention, as governments worldwide are displaying a keenness to harness green energy. The goal of this study is to build forecasting methods using deep learning (DL) approach to estimate daily solar irradiance in three sites...

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Bibliographic Details
Main Authors: Mohammed A. Bou-Rabee, Muhammad Yasin Naz, Imad ED. Albalaa, Shaharin Anwar Sulaiman
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
solar radiation prediction
wavelet decomposition
coevolutionary neural network
attention-based bidirectional long short-term memory
Online Access:https://www.mdpi.com/1996-1073/15/6/2226

Internet

https://www.mdpi.com/1996-1073/15/6/2226

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