| An improved five-parameter model for photovoltaic modules VL Brano, A Orioli, G Ciulla, A Di Gangi Solar Energy Materials and Solar Cells 94 (8), 1358-1370, 2010 | 547 | 2010 |
| Building energy performance forecasting: A multiple linear regression approach G Ciulla, A D'Amico Applied Energy 253, 113500, 2019 | 255 | 2019 |
| A comparison of different one-diode models for the representation of I–V characteristic of a PV cell G Ciulla, VL Brano, V Di Dio, G Cipriani Renewable and Sustainable Energy Reviews 32, 684-696, 2014 | 247 | 2014 |
| Quality of wind speed fitting distributions for the urban area of Palermo, Italy VL Brano, A Orioli, G Ciulla, S Culotta Renewable Energy 36 (3), 1026-1039, 2011 | 211 | 2011 |
| An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data VL Brano, G Ciulla Applied Energy 111, 894-903, 2013 | 173 | 2013 |
| Artificial neural networks to predict the power output of a PV panel V Lo Brano, G Ciulla, M Di Falco International Journal of Photoenergy 2014, 2014 | 140 | 2014 |
| Improvement of energy efficiency and quality of street lighting in South Italy as an action of Sustainable Energy Action Plans. The case study of Comiso (RG) M Beccali, M Bonomolo, G Ciulla, A Galatioto, VL Brano Energy 92, 394-408, 2015 | 131 | 2015 |
| An overview of energy retrofit actions feasibility on Italian historical buildings A Galatioto, G Ciulla, R Ricciu Energy 137, 991-1000, 2017 | 116 | 2017 |
| Building energy demand assessment through heating degree days: The importance of a climatic dataset A D'Amico, G Ciulla, D Panno, S Ferrari Applied energy 242, 1285-1306, 2019 | 107 | 2019 |
| On the experimental validation of an improved five-parameter model for silicon photovoltaic modules VL Brano, A Orioli, G Ciulla Solar Energy Materials and Solar Cells 105, 27-39, 2012 | 106 | 2012 |
| Energy and economic analysis and feasibility of retrofit actions in Italian residential historical buildings G Ciulla, A Galatioto, R Ricciu Energy and Buildings 128, 649-659, 2016 | 101 | 2016 |
| Energy saving and user satisfaction for a new advanced public lighting system M Beccali, M Bonomolo, VL Brano, G Ciulla, V Di Dio, F Massaro, ... Energy Conversion and Management 195, 943-957, 2019 | 99 | 2019 |
| Artificial neural network decision support tool for assessment of the energy performance and the refurbishment actions for the non-residential building stock in Southern Italy M Beccali, G Ciulla, VL Brano, A Galatioto, M Bonomolo Energy 137, 1201-1218, 2017 | 99 | 2017 |
| Finite difference thermal model of a latent heat storage system coupled with a photovoltaic device: Description and experimental validation VL Brano, G Ciulla, A Piacentino, F Cardona Renewable Energy 68, 181-193, 2014 | 86 | 2014 |
| Artificial Neural Networks to assess energy and environmental performance of buildings: An Italian case study A D'Amico, G Ciulla, M Traverso, VL Brano, E Palumbo Journal of Cleaner Production 239, 117993, 2019 | 78 | 2019 |
| A finite difference model of a PV-PCM system G Ciulla, VL Brano, M Cellura, V Franzitta, D Milone Energy Procedia 30, 198-206, 2012 | 73 | 2012 |
| Forecasting the cell temperature of PV modules with an adaptive system G Ciulla, V Lo Brano, E Moreci International Journal of Photoenergy 2013, 2013 | 71 | 2013 |
| Deep learning strategies for automatic fault diagnosis in photovoltaic systems by thermographic images D Manno, G Cipriani, G Ciulla, V Di Dio, S Guarino, VL Brano Energy Conversion and Management 241, 114315, 2021 | 70 | 2021 |
| Concrete thermal energy storage for linear Fresnel collectors: Exploiting the South Mediterranean’s solar potential for agri-food processes A Buscemi, D Panno, G Ciulla, M Beccali, VL Brano Energy Conversion and Management 166, 719-734, 2018 | 68 | 2018 |
| Modelling and analysis of real-world wind turbine power curves: Assessing deviations from nominal curve by neural networks G Ciulla, A D’Amico, V Di Dio, VL Brano Renewable energy 140, 477-492, 2019 | 66 | 2019 |
Valerio Lo BranoFull Professor of Environmental Technical Physics, Università di PalermoGeverifieerd e-mailadres voor dream.unipa.it
