Prediction of Hourly Global Solar Radiation: Comparison of Neural Networks / Bootstrap Aggregating
This research work explores the use of single neural networks and bootstrap aggregated neural networks for predicting hourly global solar radiation. A database of 3606 data points were from the Renewable Energies Development Center, radiometric station ‘Shems’ of Bouzareah. The single neural network...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Society of Chemical Engineers
2023-03-01
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| Series: | Kemija u Industriji |
| Subjects: | |
| Online Access: | http://silverstripe.fkit.hr/kui/assets/Uploads/7-201-213-KUI-3-4-2023.pdf |