- Review
Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review
- Andrey Pazderin,
- Firuz Kamalov,
- Pavel Y. Gubin,
- Murodbek Safaraliev,
- Vladislav Samoylenko,
- Nikita Mukhlynin,
- Ismoil Odinaev and
- Inga Zicmane
Nontechnical losses of electrical energy (NTLEE) have been a persistent issue in both the Russian and global electric power industries since the end of the 20th century. Every year, these losses result in tens of billions of dollars in damages. Promp...

