1. 1. Alekseeva, I. Yu., Vedernikov, A. S., Skripachev, M. O. 2010. Forecasting of power consumption using the method of artificial neural networks. Vestnik of Samara State Technical University. Technical Sciences Series, 4(27), pp. 135-138. EDN: NCTCXP. (In Russ.)
2. 2. Goldstein, V. G., Kuznetsov, D. V., Romanov, V. S. 2014. Application of innovative types of electrical equipment in power supply systems of modern megacities. Russian Electromechanics, 3, pp. 23-25. EDN: QMKTRL. (In Russ.)
3. 3. Goreeva, N. M., Demidova, L. N. 2019. Statistics. Moscow. (In Russ.)
4. 4. Gofman, A. V., Vedernikov, A. S., Vedernikova, E. S. 2012. Improving the accuracy of short-term and operational forecasting of the power consumption of the energy system using an artificial neural network. Electrical Stations, 7(972), pp. 36-41. EDN: PAJHBH. (In Russ.)
5. 5. Gracheva, E. I., Naumov, O. V., Sadykov, R. R. 2016. Accounting for idle waste of transformers during operation when calculating power losses in distribution networks. Power Engineering: Research, Equipment, Technology, 1-2, pp. 53-63. EDN: VXLFSB. (In Russ.)