Maraden, Y.; Wibisono, G.; Nugraha, I.G.D.; Sudiarto, B.; Jufri, F.H.; Kazutaka; Prabuwono, A.S.
Enhancing Electricity Theft Detection through K-Nearest Neighbors and Logistic Regression Algorithms with Synthetic Minority Oversampling Technique: A Case Study on State Electricity Company (PLN) Customer Data. Energies 2023, 16, 5405.
https://doi.org/10.3390/en16145405
AMA Style
Maraden Y, Wibisono G, Nugraha IGD, Sudiarto B, Jufri FH, Kazutaka, Prabuwono AS.
Enhancing Electricity Theft Detection through K-Nearest Neighbors and Logistic Regression Algorithms with Synthetic Minority Oversampling Technique: A Case Study on State Electricity Company (PLN) Customer Data. Energies. 2023; 16(14):5405.
https://doi.org/10.3390/en16145405
Chicago/Turabian Style
Maraden, Yan, Gunawan Wibisono, I Gde Dharma Nugraha, Budi Sudiarto, Fauzan Hanif Jufri, Kazutaka, and Anton Satria Prabuwono.
2023. "Enhancing Electricity Theft Detection through K-Nearest Neighbors and Logistic Regression Algorithms with Synthetic Minority Oversampling Technique: A Case Study on State Electricity Company (PLN) Customer Data" Energies 16, no. 14: 5405.
https://doi.org/10.3390/en16145405
APA Style
Maraden, Y., Wibisono, G., Nugraha, I. G. D., Sudiarto, B., Jufri, F. H., Kazutaka, & Prabuwono, A. S.
(2023). Enhancing Electricity Theft Detection through K-Nearest Neighbors and Logistic Regression Algorithms with Synthetic Minority Oversampling Technique: A Case Study on State Electricity Company (PLN) Customer Data. Energies, 16(14), 5405.
https://doi.org/10.3390/en16145405
