| 1 |
Machine learning predictive models for optimal design of building-integrated photovoltaic-thermal collectors
Shahsavar A, Moayedi H, Al-Waeli AHA, Sopian K, Chelvanathan P
International Journal of Energy Research, 44(7), 5675, 2020 |
| 2 |
Using neural network optimized by imperialist competition method and genetic algorithm to predict water productivity of a nanofluid-based solar still equipped with thermoelectric modules
Bahiraei M, Nazari S, Moayedi H, Safarzadeh H
Powder Technology, 366, 571, 2020 |
| 3 |
CFD analysis of employing a novel ecofriendly nanofluid in a miniature pin fin heat sink for cooling of electronic components: Effect of different configurations
Bahiraei M, Heshmatian S, Goodarzi M, Moayedi H
Advanced Powder Technology, 30(11), 2503, 2019 |
| 4 |
Prediction of energetic performance of a building integrated photovoltaic/thermal system thorough artificial neural network and hybrid particle swarm optimization models
Alnaqi AA, Moayedi H, Shahsavar A, Nguyen TK
Energy Conversion and Management, 183, 137, 2019 |
| 5 |
Multidisciplinary methods (co-precipitation, ultrasonic, microwave, reflux and hydrothermal) for synthesis and characterization of CaMn3O6 nanostructures and its photocatalytic water splitting performance
Gholamrezaei S, Ghiyasiyan-Arani M, Salavati-Niasari M, Moayedi H
International Journal of Hydrogen Energy, 44(48), 26373, 2019 |
| 6 |
Hydrothermal synthesis of DyMn2O5/Ba3Mn2O8 nanocomposite as a potential hydrogen storage material
Yousefi SR, Masjedi-Arani M, Morassaei MS, Salavati-Niasari M, Moayedi H
International Journal of Hydrogen Energy, 44(43), 24005, 2019 |
| 7 |
Auto-combustion synthesis, structural analysis, and electrochemical solid-state hydrogen storage performance of strontium cobalt oxide nanostructures
Razavi FS, Morassaei MS, Salehabadi A, Salavati-Niasari M, Moayedi H
International Journal of Hydrogen Energy, 44(59), 31183, 2019 |
| 8 |
Artificial intelligence in the field of nanofluids: A review on applications and potential future directions
Bahiraei M, Heshmatian S, Moayedi H
Powder Technology, 353, 276, 2019 |
| 9 |
The feasibility of genetic programming and ANFIS in prediction energetic performance of a building integrated photovoltaic thermal (BIPVT) system
Gao W, Moayedi H, Shahsavar A
Solar Energy, 183, 293, 2019 |
