SABINO, LORENZO
SABINO, LORENZO
Dipartimento di Ingegneria Industriale, Elettronica e Meccanica
Development of a Neural Network Approach to Evaluate Magnetic Losses in Nanocrystalline Transformers
2024-01-01 Bertolini, V.; Sabino, L.; Stella, M.; Faba, A.; Riganti Fulginei, F.; Crescimbini, F.; Cardelli, E.
Experimental measurements and numerical modelling of additively manufactured Fe-Si cores
2024-01-01 Stella, M.; Faba, A.; RIGANTI FULGINEI, Francesco; Quercio, M.; Scorretti, R.; Bertolini, V.; Sabino, L.; Tiismus, H.; Kallaste, A.; Cardelli, E.
Modelling of Magnetization Processes of 3D-Printed Fe-Si Components by Means of an Artificial Neural Network Implemented in a FEM Scheme
2024-01-01 Stella, M.; Faba, A.; Bertolini, V.; Riganti Fulginei, F.; Sabino, L.; Tiismus, H.; Kallaste, A.; Cardelli, E.
Modelling of PV systems for preliminary technical analysis of PV power plants on agricultural land sites
2024-01-01 Sabino, L.; Riganti Fulginei, F.; Crescimbini, F.; Cristianlazariou, G.
Neural Network Approaches for State of Charge Prediction of Rechargeable Lithium Polymer Batteries
2024-01-01 Apa, L.; Del Prete, Z.; Forconi, F.; Palermo, M.; Riganti fulginei, F.; Rizzuto, E.; Sabino, L.
State-of-Charge assessment of Li-ion battery using Genetic Algorithm-Neural Network (GANN)
2024-01-01 Cardelli, E.; Crescimbini, F.; RIGANTI FULGINEI, Francesco; Quercio, M.; Sabino, L.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Development of a Neural Network Approach to Evaluate Magnetic Losses in Nanocrystalline Transformers | 1-gen-2024 | Bertolini, V.; Sabino, L.; Stella, M.; Faba, A.; Riganti Fulginei, F.; Crescimbini, F.; Cardelli, E. | |
Experimental measurements and numerical modelling of additively manufactured Fe-Si cores | 1-gen-2024 | Stella, M.; Faba, A.; RIGANTI FULGINEI, Francesco; Quercio, M.; Scorretti, R.; Bertolini, V.; Sabino, L.; Tiismus, H.; Kallaste, A.; Cardelli, E. | |
Modelling of Magnetization Processes of 3D-Printed Fe-Si Components by Means of an Artificial Neural Network Implemented in a FEM Scheme | 1-gen-2024 | Stella, M.; Faba, A.; Bertolini, V.; Riganti Fulginei, F.; Sabino, L.; Tiismus, H.; Kallaste, A.; Cardelli, E. | |
Modelling of PV systems for preliminary technical analysis of PV power plants on agricultural land sites | 1-gen-2024 | Sabino, L.; Riganti Fulginei, F.; Crescimbini, F.; Cristianlazariou, G. | |
Neural Network Approaches for State of Charge Prediction of Rechargeable Lithium Polymer Batteries | 1-gen-2024 | Apa, L.; Del Prete, Z.; Forconi, F.; Palermo, M.; Riganti fulginei, F.; Rizzuto, E.; Sabino, L. | |
State-of-Charge assessment of Li-ion battery using Genetic Algorithm-Neural Network (GANN) | 1-gen-2024 | Cardelli, E.; Crescimbini, F.; RIGANTI FULGINEI, Francesco; Quercio, M.; Sabino, L. |