| 1 |
Mathematical and neural network modeling for predicting and analyzing of nanofluid-nano PCM photovoltaic thermal systems performance
Al-Waeli AHA, Kazem HA, Yousif JH, Chaichan MT, Sopian K
Renewable Energy, 145, 963, 2020 |
| 2 |
Artificial neural network modeling and analysis of photovoltaic/thermal system based on the experimental study
Al-Waeli AHA, Sopian K, Yousif JH, Kazem HA, Boland J, Chaichan MT
Energy Conversion and Management, 186, 368, 2019 |
| 3 |
Mathematical and neural network models for predicting the electrical performance of a PV/T system
Al-Waeli AH, Kazem HA, Yousif JH, Chaichan MT, Sopian K
International Journal of Energy Research, 43(14), 8100, 2019 |
| 4 |
Comparison of prediction methods of PV/T nanofluid and nano-PCM system using a measured dataset and artificial neural network
Al-Waeli AHA, Sopian K, Kazem HA, Yousif JH, Chaichan MT, Ibrahim A, Mat S, Ruslan MH
Solar Energy, 162, 378, 2018 |
| 5 |
Comparison of prediction methods of photovoltaic power system production using a measured dataset
Kazem HA, Yousif JH
Energy Conversion and Management, 148, 1070, 2017 |
