| A neural network based prediction system of distributed generation for the management of microgrids A Rosato, M Panella, R Araneo, A Andreotti IEEE Transactions on Industry Applications 55 (6), 7092-7102, 2019 | 91 | 2019 |
| Deep neural networks for multivariate prediction of photovoltaic power time series F Succetti, A Rosato, R Araneo, M Panella IEEE Access 8, 211490-211505, 2020 | 57 | 2020 |
| Prediction in photovoltaic power by neural networks A Rosato, R Altilio, R Araneo, M Panella Energies 10 (7), 1003, 2017 | 57 | 2017 |
| A distributed algorithm for the cooperative prediction of power production in PV plants A Rosato, M Panella, R Araneo IEEE transactions on energy conversion 34 (1), 497-508, 2018 | 47 | 2018 |
| Two-stage dynamic management in energy communities using a decision system based on elastic net regularization A Rosato, M Panella, A Andreotti, OA Mohammed, R Araneo Applied Energy 291, 116852, 2021 | 35 | 2021 |
| Embedding of time series for the prediction in photovoltaic power plants A Rosato, R Altilio, R Araneo, M Panella 2016 IEEE 16th International Conference on Environment and Electrical …, 2016 | 31 | 2016 |
| Deep learning-based Structural Health Monitoring for damage detection on a large space antenna P Iannelli, F Angeletti, P Gasbarri, M Panella, A Rosato Acta Astronautica 193, 635-643, 2022 | 30 | 2022 |
| 2-D convolutional deep neural network for the multivariate prediction of photovoltaic time series A Rosato, R Araneo, A Andreotti, F Succetti, M Panella Energies 14 (9), 2392, 2021 | 29* | 2021 |
| Perceptron theory can predict the accuracy of neural networks D Kleyko, A Rosato, EP Frady, M Panella, FT Sommer IEEE transactions on neural networks and learning systems, 2023 | 23 | 2023 |
| Systematic review of energy theft practices and autonomous detection through artificial intelligence methods E Stracqualursi, A Rosato, G Di Lorenzo, M Panella, R Araneo Renewable and Sustainable Energy Reviews 184, 113544, 2023 | 20 | 2023 |
| Distributed LSTM-based cloud resource allocation in network function virtualization architectures T Catena, V Eramo, M Panella, A Rosato Computer Networks 213, 109111, 2022 | 20 | 2022 |
| Hybrid quantum-classical recurrent neural networks for time series prediction A Ceschini, A Rosato, M Panella 2022 international joint conference on neural networks (IJCNN), 1-8, 2022 | 20 | 2022 |
| Distributed learning of random weights fuzzy neural networks R Fierimonte, M Barbato, A Rosato, M Panella 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2287-2294, 2016 | 20 | 2016 |
| Design of an LSTM Cell on a Quantum Hardware A Ceschini, A Rosato, M Panella IEEE Transactions on Circuits and Systems II: Express Briefs 69 (3), 1822-1826, 2021 | 18 | 2021 |
| A randomized deep neural network for emotion recognition with landmarks detection F Di Luzio, A Rosato, M Panella Biomedical Signal Processing and Control 81, 104418, 2023 | 17 | 2023 |
| Hyperdimensional computing for efficient distributed classification with randomized neural networks A Rosato, M Panella, D Kleyko 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021 | 17 | 2021 |
| A review of the enabling methodologies for knowledge discovery from smart grids data F De Caro, A Andreotti, R Araneo, M Panella, A Rosato, A Vaccaro, ... Energies 13 (24), 6579, 2020 | 16 | 2020 |
| A study on structural health monitoring of a large space antenna via distributed sensors and deep learning F Angeletti, P Iannelli, P Gasbarri, M Panella, A Rosato Sensors 23 (1), 368, 2022 | 15 | 2022 |
| A parallel hardware implementation for 2-d hierarchical clustering based on fuzzy logic GC Cardarilli, L Di Nunzio, R Fazzolari, M Panella, M Re, A Rosato, ... IEEE Transactions on Circuits and Systems II: Express Briefs 68 (4), 1428-1432, 2020 | 14 | 2020 |
| Challenges and perspectives of smart grid systems in Islands: a real case study F Succetti, A Rosato, R Araneo, G Di Lorenzo, M Panella Energies 16 (2), 583, 2023 | 13 | 2023 |
Massimo PanellaUniversity of Rome "La Sapienza" (Dept. of Information Eng., Electronics and Telecom.)Verified email at uniroma1.it
