A cohesive structure of Bi-directional long-short-term memory (BiLSTM) -GRU for predicting hourly solar radiation-Reference-Cited by-同舟云学术

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A cohesive structure of Bi-directional long-short-term memory (BiLSTM) -GRU for predicting hourly solar radiation

Published:2024-02 Issue: Volume:222 Page:119943
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Michael Neethu Elizabeth^ORCID,Bansal Ramesh C.^ORCID,Ismail Ali Ahmed Adam^ORCID,Elnady A.,Hasan Shazia

Publisher

Elsevier BV

Reference43 articles.

1. FCM Clustering‐ANFIS‐based PV and wind generation forecasting agent for energy management in a smart microgrid;Sujil;J. Eng.,2019

2. Advanced multimodal fusion method for very short-term solar irradiance forecasting using sky images and meteorological data: a gate and transformer mechanism approach;Zhang;Renew. Energy,2023

3. Comparison of parameterization Models for the Estimation of the maximum power output of PV modules;Ding;Energy Proc.,2012

4. A heuristic-based approach for optimizing a small independent solar and wind hybrid power scheme incorporating load forecasting;Zhang;J. Clean. Prod.,2019

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1. A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model;Applied Energy;2024-12

2. Deep learning hybrid models with multivariate variational mode decomposition for estimating daily solar radiation;Alexandria Engineering Journal;2024-10

3. Classification of tomato seedling chilling injury based on chlorophyll fluorescence imaging and DBO-BiLSTM;Frontiers in Plant Science;2024-09-09

4. Use of Cohesive Approaches for Modelling Critical States in Fibre-Reinforced Structural Materials;Materials;2024-06-28

5. A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction;Processes;2024-04-15

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