Cicceri, G.; Tricomi, G.; D’Agati, L.; Longo, F.; Merlino, G.; Puliafito, A.
A Deep Learning-Driven Self-Conscious Distributed Cyber-Physical System for Renewable Energy Communities. Sensors 2023, 23, 4549.
https://doi.org/10.3390/s23094549
AMA Style
Cicceri G, Tricomi G, D’Agati L, Longo F, Merlino G, Puliafito A.
A Deep Learning-Driven Self-Conscious Distributed Cyber-Physical System for Renewable Energy Communities. Sensors. 2023; 23(9):4549.
https://doi.org/10.3390/s23094549
Chicago/Turabian Style
Cicceri, Giovanni, Giuseppe Tricomi, Luca D’Agati, Francesco Longo, Giovanni Merlino, and Antonio Puliafito.
2023. "A Deep Learning-Driven Self-Conscious Distributed Cyber-Physical System for Renewable Energy Communities" Sensors 23, no. 9: 4549.
https://doi.org/10.3390/s23094549
APA Style
Cicceri, G., Tricomi, G., D’Agati, L., Longo, F., Merlino, G., & Puliafito, A.
(2023). A Deep Learning-Driven Self-Conscious Distributed Cyber-Physical System for Renewable Energy Communities. Sensors, 23(9), 4549.
https://doi.org/10.3390/s23094549