FERLITO, SERGIO
FERLITO, SERGIO
Dipartimento Tecnologie Energetiche e Fonti Rinnovabili (TERIN)
Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices
2020-01-01 De Vito, S.; Di Francia, G.; Esposito, E.; Ferlito, S.; Formisano, F.; Massera, E.
Analysis of Ecosole HCPV system performances during two operation years
2018-01-01 Pascarella, F.; Merola, A.; Leanza, G.; Graditi, G.; Fucci, R.; Ferlito, S.; Ciniglio, G.; Borriello, A.; Cancro, C.
Characterization and performance analysis of ecosole HCPV system first prototype
2016-01-01 Ferlito, S.; Merola, A.; Borriello, A.; Leanza, G.; Ciniglio, G.; Graditi, G.; Cancro, C.
Comparative analysis of data-driven methods online and offline trained to the forecasting of grid-connected photovoltaic plant production
2017-01-01 Graditi, G.; Adinolfi, G.; Ferlito, S.
Comparison of Photovoltaic plant power production prediction methods using a large measured dataset
2016-01-01 Adinolfi, G.; Ferlito, S.; Graditi, G.
Crowdsensing IoT architecture for pervasive air quality and exposome monitoring: Design, development, calibration, and long-term validation
2021-01-01 De Vito, S.; Esposito, E.; Massera, E.; Formisano, F.; Fattoruso, G.; Ferlito, S.; Del Giudice, A.; D'Elia, G.; Salvato, M.; Polichetti, T.; D’Auria, P.; Ionescu, Adrian M
Detect Anomalies in Photovoltaic Systems Using Isolation Forest (Preliminary Results)
2021-01-01 Ferlito, S.; De Vito, S.; Di Francia, G.
Energy yield estimation of thin-film photovoltaic plants by using physical approach and artificial neural networks
2016-01-01 Adinolfi, G.; Ferlito, S.; Graditi, G.
Forecasting the working temperature of a concentrator photovoltaic module by using artificial neural network-based model
2016-01-01 Graditi, G.; Ferlito, S.; Cancro, C.
High Resolution Air Quality Monitoring with IoT Intelligent Multisensor devices during COVID-19 Pandemic Phase 2 in Italy
2020-01-01 De Vito, S.; Esposito, E.; D'Elia, G.; Del Giudice, A.; Fattoruso, G.; Ferlito, S.; D'Auria, P.; Intini, F.; Di Francia, G.; Terzini, E.
Influence of Concept Drift on Metrological Performance of Low-Cost NO2 Sensors
2022-01-01 D'Elia, Gerardo; Ferro, Matteo; Sommella, Paolo; De Vito, Saverio; Ferlito, Sergio; D'Auria, Paolo; Francia, Girolamo Di
LSTM Networks for Particulate Matter Concentration Forecasting
2020-01-01 Ferlito, S.; Bosso, F.; De Vito, S.; Esposito, E.; Di Francia, G.
Machine learning techniques for data analysis in materials science
2022-01-01 Ronchetti, Claudio; Puccini, Marco; Ferlito, Sergio; Giusepponi, Simone; Palombi, Filippo; Buonocore, Francesco; Celino, Massimo
Optimal Field Calibration of Multiple IoT Low Cost Air Quality Monitors: Setup and Results
2020-01-01 Esposito, E.; D'Elia, G.; Ferlito, S.; Del Giudice, A.; Fattoruso, G.; D'Auria, P.; De Vito, S.; Di Francia, G.
Performance estimation of a thin-film photovoltaic plant based on an Artificial Neural Network model
2014-01-01 Adinolfi, G.; Ferlito, S.; Graditi, G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices | 1-gen-2020 | De Vito, S.; Di Francia, G.; Esposito, E.; Ferlito, S.; Formisano, F.; Massera, E. | |
| Analysis of Ecosole HCPV system performances during two operation years | 1-gen-2018 | Pascarella, F.; Merola, A.; Leanza, G.; Graditi, G.; Fucci, R.; Ferlito, S.; Ciniglio, G.; Borriello, A.; Cancro, C. | |
| Characterization and performance analysis of ecosole HCPV system first prototype | 1-gen-2016 | Ferlito, S.; Merola, A.; Borriello, A.; Leanza, G.; Ciniglio, G.; Graditi, G.; Cancro, C. | |
| Comparative analysis of data-driven methods online and offline trained to the forecasting of grid-connected photovoltaic plant production | 1-gen-2017 | Graditi, G.; Adinolfi, G.; Ferlito, S. | |
| Comparison of Photovoltaic plant power production prediction methods using a large measured dataset | 1-gen-2016 | Adinolfi, G.; Ferlito, S.; Graditi, G. | |
| Crowdsensing IoT architecture for pervasive air quality and exposome monitoring: Design, development, calibration, and long-term validation | 1-gen-2021 | De Vito, S.; Esposito, E.; Massera, E.; Formisano, F.; Fattoruso, G.; Ferlito, S.; Del Giudice, A.; D'Elia, G.; Salvato, M.; Polichetti, T.; D’Auria, P.; Ionescu, Adrian M | |
| Detect Anomalies in Photovoltaic Systems Using Isolation Forest (Preliminary Results) | 1-gen-2021 | Ferlito, S.; De Vito, S.; Di Francia, G. | |
| Energy yield estimation of thin-film photovoltaic plants by using physical approach and artificial neural networks | 1-gen-2016 | Adinolfi, G.; Ferlito, S.; Graditi, G. | |
| Forecasting the working temperature of a concentrator photovoltaic module by using artificial neural network-based model | 1-gen-2016 | Graditi, G.; Ferlito, S.; Cancro, C. | |
| High Resolution Air Quality Monitoring with IoT Intelligent Multisensor devices during COVID-19 Pandemic Phase 2 in Italy | 1-gen-2020 | De Vito, S.; Esposito, E.; D'Elia, G.; Del Giudice, A.; Fattoruso, G.; Ferlito, S.; D'Auria, P.; Intini, F.; Di Francia, G.; Terzini, E. | |
| Influence of Concept Drift on Metrological Performance of Low-Cost NO2 Sensors | 1-gen-2022 | D'Elia, Gerardo; Ferro, Matteo; Sommella, Paolo; De Vito, Saverio; Ferlito, Sergio; D'Auria, Paolo; Francia, Girolamo Di | |
| LSTM Networks for Particulate Matter Concentration Forecasting | 1-gen-2020 | Ferlito, S.; Bosso, F.; De Vito, S.; Esposito, E.; Di Francia, G. | |
| Machine learning techniques for data analysis in materials science | 1-gen-2022 | Ronchetti, Claudio; Puccini, Marco; Ferlito, Sergio; Giusepponi, Simone; Palombi, Filippo; Buonocore, Francesco; Celino, Massimo | |
| Optimal Field Calibration of Multiple IoT Low Cost Air Quality Monitors: Setup and Results | 1-gen-2020 | Esposito, E.; D'Elia, G.; Ferlito, S.; Del Giudice, A.; Fattoruso, G.; D'Auria, P.; De Vito, S.; Di Francia, G. | |
| Performance estimation of a thin-film photovoltaic plant based on an Artificial Neural Network model | 1-gen-2014 | Adinolfi, G.; Ferlito, S.; Graditi, G. |