Pazderin, A.; Kamalov, F.; Gubin, P.Y.; Safaraliev, M.; Samoylenko, V.; Mukhlynin, N.; Odinaev, I.; Zicmane, I.
Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review. Energies 2023, 16, 7460.
https://doi.org/10.3390/en16217460
AMA Style
Pazderin A, Kamalov F, Gubin PY, Safaraliev M, Samoylenko V, Mukhlynin N, Odinaev I, Zicmane I.
Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review. Energies. 2023; 16(21):7460.
https://doi.org/10.3390/en16217460
Chicago/Turabian Style
Pazderin, Andrey, Firuz Kamalov, Pavel Y. Gubin, Murodbek Safaraliev, Vladislav Samoylenko, Nikita Mukhlynin, Ismoil Odinaev, and Inga Zicmane.
2023. "Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review" Energies 16, no. 21: 7460.
https://doi.org/10.3390/en16217460
APA Style
Pazderin, A., Kamalov, F., Gubin, P. Y., Safaraliev, M., Samoylenko, V., Mukhlynin, N., Odinaev, I., & Zicmane, I.
(2023). Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review. Energies, 16(21), 7460.
https://doi.org/10.3390/en16217460
