Seuraa
Antonello Rosato
Antonello Rosato
Dept. of Information Engineering, Electronics and Telecommuncations (DIET), Sapienza University of
Vahvistettu sähköpostiosoite verkkotunnuksessa uniroma1.it
Nimike
Viittaukset
Viittaukset
Vuosi
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
842019
Prediction in photovoltaic power by neural networks
A Rosato, R Altilio, R Araneo, M Panella
Energies 10 (7), 1003, 2017
522017
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
412018
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
402020
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
302021
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
302016
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
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
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
19*2023
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
19*2021
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
162021
Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures
T Catena, V Eramo, M Panella, A Rosato
Computer Networks 213, 109111, 2022
142022
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
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
132017
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
122020
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
112022
A smart grid in Ponza island: battery energy storage management by echo state neural network
A Rosato, R Altilio, R Araneo, M Panella
2018 IEEE International Conference on Environment and Electrical Engineering …, 2018
112018
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
92023
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
92022
A decentralized algorithm for distributed ensemble clustering
A Rosato, R Altilio, M Panella
Information Sciences 578, 417-434, 2021
92021
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Artikkelit 1–20