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Antonello Rosato
Antonello Rosato
Dept. of Information Engineering, Electronics and Telecommuncations (DIET), Sapienza University of
Verified email at uniroma1.it
Title
Cited by
Cited by
Year
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
912019
Prediction in photovoltaic power by neural networks
A Rosato, R Altilio, R Araneo, M Panella
Energies 10 (7), 1003, 2017
562017
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
552020
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
462018
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
342021
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
312016
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
302022
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
25*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
222023
Distributed LSTM-based cloud resource allocation in network function virtualization architectures
T Catena, V Eramo, M Panella, A Rosato
Computer Networks 213, 109111, 2022
202022
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
202022
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
202016
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
182023
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
172023
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
172021
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
162021
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
152020
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
142020
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
132023
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
132022
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