Lopez, J.R.; de Jesus Camacho, J.; Ponce, P.; MacCleery, B.; Molina, A.
A Real-Time Digital Twin and Neural Net Cluster-Based Framework for Faults Identification in Power Converters of Microgrids, Self Organized Map Neural Network. Energies 2022, 15, 7306.
https://doi.org/10.3390/en15197306
AMA Style
Lopez JR, de Jesus Camacho J, Ponce P, MacCleery B, Molina A.
A Real-Time Digital Twin and Neural Net Cluster-Based Framework for Faults Identification in Power Converters of Microgrids, Self Organized Map Neural Network. Energies. 2022; 15(19):7306.
https://doi.org/10.3390/en15197306
Chicago/Turabian Style
Lopez, Juan R., Jose de Jesus Camacho, Pedro Ponce, Brian MacCleery, and Arturo Molina.
2022. "A Real-Time Digital Twin and Neural Net Cluster-Based Framework for Faults Identification in Power Converters of Microgrids, Self Organized Map Neural Network" Energies 15, no. 19: 7306.
https://doi.org/10.3390/en15197306
APA Style
Lopez, J. R., de Jesus Camacho, J., Ponce, P., MacCleery, B., & Molina, A.
(2022). A Real-Time Digital Twin and Neural Net Cluster-Based Framework for Faults Identification in Power Converters of Microgrids, Self Organized Map Neural Network. Energies, 15(19), 7306.
https://doi.org/10.3390/en15197306