| On training efficiency and computational costs of a feed forward neural network: A review A Laudani, GM Lozito, F Riganti Fulginei, A Salvini Computational intelligence and neuroscience 2015 (1), 818243, 2015 | 96 | 2015 |
| Optimal battery energy storage system scheduling within renewable energy communities G Talluri, GM Lozito, F Grasso, C Iturrino Garcia, A Luchetta Energies 14 (24), 8480, 2021 | 49 | 2021 |
| Time-domain circuit modelling for hybrid supercapacitors F Corti, MS Gulino, M Laschi, GM Lozito, L Pugi, A Reatti, D Vangi Energies 14 (20), 6837, 2021 | 35 | 2021 |
| Computationally efficient modeling of DC-DC converters for PV applications F Corti, A Laudani, GM Lozito, A Reatti Energies 13 (19), 5100, 2020 | 35 | 2020 |
| Low-cost solar irradiance sensing for pv systems M Carrasco, A Laudani, GM Lozito, F Mancilla-David, F Riganti Fulginei, ... Energies 10 (7), 998, 2017 | 32 | 2017 |
| Two FPGA-oriented high-speed irradiance virtual sensors for photovoltaic plants A Oliveri, L Cassottana, A Laudani, FR Fulginei, GM Lozito, A Salvini, ... IEEE Transactions on Industrial Informatics 13 (1), 157-165, 2015 | 31 | 2015 |
| FPGA implementations of feed forward neural network by using floating point hardware accelerators GM Lozito, A Laudani, F Riganti Fulginei, A Salvini Advances in Electrical and Electronic Engineering 12 (1), 30-39, 2014 | 30 | 2014 |
| A novel technique for online monitoring of photovoltaic devices degradation A Faba, S Gaiotto, GM Lozito Solar Energy 158, 520-527, 2017 | 29 | 2017 |
| Swarm/flock optimization algorithms as continuous dynamic systems A Laudani, FR Fulginei, GM Lozito, A Salvini Applied Mathematics and Computation 243, 670-683, 2014 | 29 | 2014 |
| A neural-FEM tool for the 2-D magnetic hysteresis modeling E Cardelli, A Faba, A Laudani, GM Lozito, FR Fulginei, A Salvini Physica B: Condensed Matter 486, 111-115, 2016 | 28 | 2016 |
| Two-dimensional magnetic modeling of ferromagnetic materials by using a neural networks based hybrid approach E Cardelli, A Faba, A Laudani, GM Lozito, FR Fulginei, A Salvini Physica B: Condensed Matter 486, 106-110, 2016 | 28 | 2016 |
| Implementation of a neural MPPT algorithm on a low-cost 8-bit microcontroller A Laudani, FR Fulginei, A Salvini, GM Lozito, F Mancilla-David 2014 International Symposium on Power Electronics, Electrical Drives …, 2014 | 26 | 2014 |
| An efficient architecture for floating point based MISO neural neworks on FPGA A Laudani, GM Lozito, FR Fulginei, A Salvini 2014 UKSim-AMSS 16th International Conference on Computer Modelling and …, 2014 | 26 | 2014 |
| Machine learning-based monitoring of DC-DC converters in photovoltaic applications M Bindi, F Corti, I Aizenberg, F Grasso, GM Lozito, A Luchetta, ... Algorithms 15 (3), 74, 2022 | 25 | 2022 |
| On circuital topologies and reconfiguration strategies for PV systems in partial shading conditions: A review. A Laudani, GM Lozito, V Lucaferri, M Radicioni, FR Fulginei Aims Energy 6 (5), 2018 | 25 | 2018 |
| Implementation of the single hysteron model in a finite-element scheme E Cardelli, A Faba, A Laudani, GM Lozito, SQ Antonio, FR Fulginei, ... IEEE Transactions on Magnetics 53 (11), 1-4, 2017 | 23 | 2017 |
| Dynamic hysteresis modelling of magnetic materials by using a neural network approach A Laudani, GM Lozito, FR Fulginei 2014 AEIT Annual Conference-From Research to Industry: The Need for a More …, 2014 | 23 | 2014 |
| Power forecasting of a photovoltaic plant located in enea casaccia research center M Radicioni, V Lucaferri, F De Lia, A Laudani, R Lo Presti, GM Lozito, ... Energies 14 (3), 707, 2021 | 22 | 2021 |
| On the Generalization Capabilities of the Ten‐Parameter Jiles‐Atherton Model GM Lozito, F Riganti Fulginei, A Salvini Mathematical Problems in Engineering 2015 (1), 715018, 2015 | 22 | 2015 |
| Microcontroller based maximum power point tracking through FCC and MLP neural networks GM Lozito, L Bozzoli, A Salvini 2014 6th European Embedded Design in Education and Research Conference …, 2014 | 22 | 2014 |
