| 1 |
Assessment of implicit and explicit models for different photovoltaic modules technologies
Boutana N, Mellit A, Lughi V, Pavan AM
Energy, 122, 128, 2017 |
| 2 |
An explicit I-V model for photovoltaic module technologies
Boutana N, Mellit A, Haddad S, Rabhi A, Pavan AM
Energy Conversion and Management, 138, 400, 2017 |
| 3 |
Explicit empirical model for photovoltaic devices. Experimental validation
Pavan AM, Vergura S, Mellit A, Lughi V
Solar Energy, 155, 647, 2017 |
| 4 |
A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks
Chine W, Mellit A, Lughi V, Malek A, Sulligoi G, Pavan AM
Renewable Energy, 90, 501, 2016 |
| 5 |
The effect of manufacturing mismatch on energy production for large-scale photovoltaic plants
Pavan AM, Tessarolo A, Barbini N, Mellit A, Lughi V
Solar Energy, 117, 282, 2015 |
| 6 |
Fault detection method for grid-connected photovoltaic plants
Chine W, Mellit A, Pavan AM, Kalogirou SA
Renewable Energy, 66, 99, 2014 |
| 7 |
Explicit empirical model for general photovoltaic devices: Experimental validation at maximum power point
Pavan AM, Mellit A, Lughi V
Solar Energy, 101, 105, 2014 |
| 8 |
Short-term forecasting of power production in a large-scale photovoltaic plant
Mellit A, Pavan AM, Lughi V
Solar Energy, 105, 401, 2014 |
| 9 |
A comparison between BNN and regression polynomial methods for the evaluation of the effect of soiling in large scale photovoltaic plants
Pavan AM, Mellit A, De Pieri D, Kalogirou SA
Applied Energy, 108, 392, 2013 |
| 10 |
A hybrid model (SARIMA-SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant
Bouzerdoum M, Mellit A, Pavan AM
Solar Energy, 98, 226, 2013 |
