Day of the year-based prediction of horizontal global solar radiation by a neural network auto-regressive model

• Main Authors: Gani, Abdullah, Mohammadi, Kasra, Shamshirband, Shahaboddin, Khorasanizadeh, Hossein, Danesh, Amir Seyed, Piri, Jamshid, Ismail, Zuraini, Zamani, Mazdak
• Format: Article
• Published: Springer-Verlag Wien 2016
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/69128/; http://dx.doi.org/10.1007/s00704-015-1533-8

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...