Day of the year-based prediction of horizontal global solar radiation by a neural network auto-regressive model
The availability of accurate solar radiation data is essential for designing as well as simulating the solar energy systems. In this study, by employing the long-term daily measured solar data, a neural network auto-regressive model with exogenous inputs (NN-ARX) is applied to predict daily horizont...
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Main Authors: | Gani, Abdullah, Mohammadi, Kasra, Shamshirband, Shahaboddin, Khorasanizadeh, Hossein, Danesh, Amir Seyed, Piri, Jamshid, Ismail, Zuraini, Zamani, Mazdak |
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Format: | Article |
Published: |
Springer-Verlag Wien
2016
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/69128/ http://dx.doi.org/10.1007/s00704-015-1533-8 |
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