Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia

Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia

This study proposes a new hybrid deep learning (DL) model, the called CSVR, for Global Solar Radiation (GSR) predictions by integrating Convolutional Neural Network (CNN) with Support Vector Regression (SVR) approach. First, the CNN algorithm is used to extract local patterns as well as common featu...

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Bibliographic Details
Main Authors: Bhandari, B. (Author), Casillas-Pérez, D. (Author), Deo, R.C (Author), Ghimire, S. (Author), Salcedo-Sanz, S. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
Australia
Climate change
Climate models
Convolution
Convolutional neural network
Convolutional neural networks
Convolutional Neural Networks
Energy prediction
Errors
Feature extraction
Feature selection
Features selection
Forecasting
Hybrid model
Hybrid models
Learning models
Long short-term memory
Mean square error
Optimization
Queensland
Solar energy
Solar energy prediction
Solar radiation
Solar radiation predictions
Support Vector Regression
Support vector regressions
Time series
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