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 | 88 | 2019 |

Prediction in photovoltaic power by neural networks A Rosato, R Altilio, R Araneo, M Panella Energies 10 (7), 1003, 2017 | 55 | 2017 |

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 | 45 | 2020 |

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 | 45 | 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 | 32 | 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 | 30 | 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 | 24 | 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 | 22* | 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 | 20 | 2023 |

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 |

Distributed LSTM-based cloud resource allocation in network function virtualization architectures T Catena, V Eramo, M Panella, A Rosato Computer Networks 213, 109111, 2022 | 17 | 2022 |

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 | 16 | 2021 |

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 | 14 | 2023 |

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 | 14 | 2023 |

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 |

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 | 13 | 2022 |

A fast deep learning technique for Wi-Fi-based human activity recognition F Succetti, A Rosato, F Di Luzio, A Ceschini, M Panella ELECTROMAGNETIC WAVES 174, 127-141, 2022 | 13 | 2022 |

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 | 13 | 2020 |

Takagi-Sugeno fuzzy systems applied to voltage prediction of photovoltaic plants A Rosato, R Altilio, R Araneo, M Panella 2017 IEEE International Conference on Environment and Electrical Engineering …, 2017 | 13 | 2017 |

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 | 11 | 2023 |