| 1 |
A novel estimation approach for the solar radiation potential with its complex spatial pattern via machine-learning techniques
Koo C, Li WZ, Cha SH, Zhang SJ
Renewable Energy, 133, 575, 2019 |
| 2 |
Next generation prediction model for daily solar radiation on horizontal surface using a hybrid neural network and simulated annealing method
Mousavi SM, Mostafavi ES, Jiao PC
Energy Conversion and Management, 153, 671, 2017 |
| 3 |
On a universal model for the prediction of the daily global solar radiation
Kaplanis S, Kumar J, Kaplani E
Renewable Energy, 91, 178, 2016 |
| 4 |
A new correlation between global solar energy radiation and daily temperature variations
Dumas A, Andrisani A, Bonnici M, Graditi G, Leanza G, Madonia M, Trancossi M
Solar Energy, 116, 117, 2015 |
| 5 |
Assessing the potential of support vector machine for estimating daily solar radiation using sunshine duration
Chen JL, Li GS, Wu SJ
Energy Conversion and Management, 75, 311, 2013 |
| 6 |
Estimates of the Linke turbidity factor over Zimbabwe using ground-measured clear-sky global solar radiation and sunshine records based on a modified ESRA clear-sky model approach
Hove T, Manyumbu E
Renewable Energy, 52, 190, 2013 |
| 7 |
Stochastic prediction of hourly global solar radiation for Patra, Greece
Kaplanis S, Kaplani E
Applied Energy, 87(12), 3748, 2010 |
| 8 |
Estimating daily global radiation using two types of revised models in China
Chen RS, Lu SH, Kang ES, Yang JP, Ji XB
Energy Conversion and Management, 47(7-8), 865, 2006 |
| 9 |
The variability of the daily solar radiation components over Helwan
Hassan AH
Renewable Energy, 23(3-4), 641, 2001 |
