FERLITO, SERGIO

FERLITO, SERGIO  

Dipartimento Tecnologie Energetiche e Fonti Rinnovabili (TERIN)  

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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.
Correlating Air Pollution Concentrations and Vehicular Emissions in an Italian Roadway Tunnel by Means of Low Cost Sensors 1-gen-2023 De Vito, S.; Del Giudice, A.; D'Elia, G.; Esposito, E.; Fattoruso, G.; Ferlito, S.; Formisano, F.; Loffredo, G.; Massera, E.; Bellucci, P.; Ciarallo, F.; Di Francia, 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.