11573/1689441 - 2023 -
An adaptive embedding procedure for time series forecasting with deep neural networks Succetti, F.; Rosato, A.; Panella, M. - 01a Articolo in rivista
paper: NEURAL NETWORKS (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. 715-729 - issn: 0893-6080 - wos: WOS:001122445000001 (1) - scopus: 2-s2.0-85171621847 (1)
11573/1664072 - 2023 -
Challenges and perspectives of smart grid systems in islands. A real case study Succetti, Federico; Rosato, Antonello; Araneo, Rodolfo; Lorenzo, Gianfranco Di; Panella, Massimo - 01a Articolo in rivista
paper: ENERGIES (Basel : Molecular Diversity Preservation International) pp. - - issn: 1996-1073 - wos: WOS:000915038300001 (2) - scopus: 2-s2.0-85146550846 (4)
11573/1655500 - 2022 -
Multivariate time series analysis for electrical power theft detection in the distribution grid Ceschini, A.; Rosato, A.; Succetti, F.; Araneo, R.; Panella, M. - 04b Atto di convegno in volume
conference: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022 (Prague; Czech Republic)
book: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022 - (978-1-6654-8537-1)
11573/1655501 - 2022 -
A price-aware dynamic decision system in energy communities Di Luzio, F.; Succetti, F.; Rosato, A.; Araneo, R.; Panella, M. - 04b Atto di convegno in volume
conference: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022 (Prague; Czech Republic)
book: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022 - (978-1-6654-8537-1)
11573/1657000 - 2022 -
A Fast Deep Learning Technique for Wi-Fi-Based Human Activity Recognition Succetti, F.; Rosato, A.; Di Luzio, F.; Ceschini, A.; Panella, M. - 01a Articolo in rivista
paper: ELECTROMAGNETIC WAVES (EMW Publishing:PO Box 425517:Cambridge, MA 02142:(617)354-9597, INTERNET: http://www.emwave.com, Fax: (617)547-3137) pp. 127-141 - issn: 1070-4698 - wos: WOS:000824736600001 (7) - scopus: 2-s2.0-85134012948 (10)
11573/1675677 - 2022 -
Nonexclusive classification of household appliances by fuzzy deep neural networks Succetti, F.; Rosato, A.; Panella, M. - 02a Capitolo o Articolo
book: Applied Intelligence and Informatics - (978-3-031-24801-6)
11573/1630054 - 2021 -
Deep Neural Networks for Electric Energy Theft and Anomaly Detection in the Distribution Grid Ceschini, A.; Rosato, A.; Succetti, F.; Di Luzio, F.; Mitolo, M.; Araneo, R.; Panella, M. - 04b Atto di convegno in volume
conference: 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 (Bari; Italy)
book: 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings - (978-1-6654-3613-7)
11573/1580314 - 2021 -
A blockwise embedding for multi-day-ahead prediction of energy time series by randomized deep neural networks Di Luzio, F.; Rosato, A.; Succetti, F.; Panella, M. - 04b Atto di convegno in volume
conference: 2021 International Joint Conference on Neural Networks, IJCNN 2021 (Shenzhen; China - Virtual)
book: Proceedings of the International Joint Conference on Neural Networks - (978-0-7381-3366-9)
11573/1541789 - 2021 -
2-D convolutional deep neural network for the multivariate prediction of photovoltaic time series Rosato, Antonello; Araneo, Rodolfo; Andreotti, Amedeo; Succetti, Federico; Panella, Massimo - 01a Articolo in rivista
paper: ENERGIES (Basel : Molecular Diversity Preservation International) pp. 1-18 - issn: 1996-1073 - wos: WOS:000650198900001 (7) - scopus: 2-s2.0-85106414295 (10)
11573/1630052 - 2021 -
Multivariate Prediction of Energy Time Series by Autoencoded LSTM Networks Succetti, F.; Di Luzio, F.; Ceschini, A.; Rosato, A.; Araneo, R.; Panella, M. - 04b Atto di convegno in volume
conference: 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 (Bari; Italy)
book: 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings - (978-1-6654-3613-7)
11573/1566169 - 2021 -
Time series prediction with autoencoding LSTM networks Succetti, Federico; Ceschini, Andrea; Di Luzio, Francesco; Rosato, Antonello; Panella, Massimo - 04b Atto di convegno in volume
conference: 6th International Work-Conference on Artificial Neural Networks, IWANN 2021 (Virtual, Online)
book: Lecture Notes in Computer Science - (978-3-030-85098-2; 978-3-030-85099-9)
11573/1441345 - 2020 -
A combined deep learning approach for time series prediction in energy environments Rosato, A.; Succetti, F.; Araneo, R.; Andreotti, A.; Mitolo, M.; Panella, M. - 04b Atto di convegno in volume
conference: 56th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2020 (Las Vegas (virtual), U.S.A.)
book: Conference Record - Industrial and Commercial Power Systems Technical Conference - (978-1-7281-7195-1)
Rosato, A.; Succetti, F.; Barbirotta, M.; Panella, M. - 04b Atto di convegno in volume
conference: 2020 International Joint Conference on Neural Networks, IJCNN 2020 (Glasgow (virtual), U.K.)
book: Proceedings of the International Joint Conference on Neural Networks - (978-1-7281-6926-2)
11573/1441339 - 2020 -
Multidimensional feeding of LSTM networks for multivariate prediction of energy time series Succetti, F.; Rosato, A.; Araneo, R.; Panella, M. - 04b Atto di convegno in volume
conference: 2020 IEEE International conference on environment and electrical engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC, I and CPS Europe 2020 (Madrid (virtual); Spain)
book: 2020 IEEE International conference on environment and electrical engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC, I and CPS Europe 2020 - (978-1-7281-7455-6)
11573/1464797 - 2020 -
Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series Succetti, Federico; Rosato, Antonello; Araneo, Rodolfo; Panella, Massimo - 01a Articolo in rivista
paper: IEEE ACCESS (Piscataway NJ: Institute of Electrical and Electronics Engineers) pp. 211490-211505 - issn: 2169-3536 - wos: WOS:000596357600001 (22) - scopus: 2-s2.0-85096859773 (30)