| Artificial intelligence techniques for photovoltaic applications: A review A Mellit, SA Kalogirou Progress in energy and combustion science 34 (5), 574-632, 2008 | 1261 | 2008 |
| A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy A Mellit, AM Pavan Solar energy 84 (5), 807-821, 2010 | 1172 | 2010 |
| Fault detection and diagnosis methods for photovoltaic systems: A review A Mellit, GM Tina, SA Kalogirou Renewable and Sustainable Energy Reviews 91, 1-17, 2018 | 675 | 2018 |
| A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks W Chine, A Mellit, V Lughi, A Malek, G Sulligoi, AM Pavan Renewable Energy 90, 501-512, 2016 | 636 | 2016 |
| A study of CNN and transfer learning in medical imaging: Advantages, challenges, future scope AW Salehi, S Khan, G Gupta, BI Alabduallah, A Almjally, H Alsolai, ... Sustainability 15 (7), 5930, 2023 | 609 | 2023 |
| Artificial intelligence techniques for sizing photovoltaic systems: A review A Mellit, SA Kalogirou, L Hontoria, S Shaari Renewable and Sustainable Energy Reviews 13 (2), 406-419, 2009 | 583 | 2009 |
| A hybrid model (SARIMA–SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant M Bouzerdoum, A Mellit, AM Pavan Solar energy 98, 226-235, 2013 | 407 | 2013 |
| Deep learning neural networks for short-term photovoltaic power forecasting A Mellit, AM Pavan, V Lughi Renewable Energy 172, 276-288, 2021 | 388 | 2021 |
| ANN-based modelling and estimation of daily global solar radiation data: A case study M Benghanem, A Mellit, SN Alamri Energy conversion and management 50 (7), 1644-1655, 2009 | 353 | 2009 |
| An adaptive wavelet-network model for forecasting daily total solar-radiation A Mellit, M Benghanem, SA Kalogirou Applied Energy 83 (7), 705-722, 2006 | 352 | 2006 |
| Advanced methods for photovoltaic output power forecasting: A review A Mellit, A Massi Pavan, E Ogliari, S Leva, V Lughi Applied Sciences 10 (2), 487, 2020 | 350 | 2020 |
| Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation A Messai, A Mellit, A Guessoum, SA Kalogirou Solar energy 85 (2), 265-277, 2011 | 345 | 2011 |
| The effect of soiling on energy production for large-scale photovoltaic plants AM Pavan, A Mellit, D De Pieri Solar energy 85 (5), 1128-1136, 2011 | 325 | 2011 |
| Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure A Mellit, M Benghanem, SA Kalogirou Renewable energy 32 (2), 285-313, 2007 | 308 | 2007 |
| Artificial neural network-based model for estimating the produced power of a photovoltaic module A Mellit, S Sağlam, SA Kalogirou Renewable energy 60, 71-78, 2013 | 275 | 2013 |
| Artificial intelligence and internet of things to improve efficacy of diagnosis and remote sensing of solar photovoltaic systems: Challenges, recommendations and future directions A Mellit, S Kalogirou Renewable and Sustainable Energy Reviews 143, 110889, 2021 | 273 | 2021 |
| Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules H Mekki, A Mellit, H Salhi Simulation Modelling Practice and Theory 67, 1-13, 2016 | 270 | 2016 |
| Feasibility study and sensitivity analysis of a stand-alone photovoltaic–diesel–battery hybrid energy system in the north of Algeria H Rezzouk, A Mellit Renewable and Sustainable Energy Reviews 43, 1134-1150, 2015 | 265 | 2015 |
| Fault detection method for grid-connected photovoltaic plants W Chine, A Mellit, AM Pavan, SA Kalogirou Renewable Energy 66, 99-110, 2014 | 259 | 2014 |
| A simplified model for generating sequences of global solar radiation data for isolated sites: Using artificial neural network and a library of Markov transition matrices approach A Mellit, M Benghanem, AH Arab, A Guessoum Solar energy 79 (5), 469-482, 2005 | 242 | 2005 |
Alessandro Massi PavanUniversità degli Studi di TriesteVerified email at units.it
