Ключові файли

1. Carr, D., and Thomson M. (2022). Non-technical electricity losses. Energies 2022, 15, 2218. https://doi.org/10.3390/en15062218
2. Drevetskyi, V.V., Vasylets K.S., Akhromkin, A.O., Vasylets S.V., and   Stasiuk, R.S. (2020). Measurement and accounting of electrical energy using measuring current transformers in reduced load mode (№4-778). Rivne: NUWEE, PJSC "Rivneoblenergo".
3. Lesniewska, E., and Rajchert, R. (2019). Behaviour of measuring current transformers with cores composed from different magnetic materials at non-rated loads and overcurrents. IET Science, Measurement & Technology, 13(7), 944–948. https://doi.org/10.1049/iet-smt.2018.5176
4. Ferrero, A., and Salicone S. (2018). A comparison between the probabilistic and possibilistic approaches: the importance of a correct metrological information. IEEE Transactions on Instrumentation and Measurement, 67(3), 607–620.  https://doi.org/10.1109/TIM.2017.2779346.
5. Salicone, S., and Prioli, M. (2018). Measuring uncertainty within the theory of evidence. Cham, Switzerland: Springer Nature Switzerland AG, 330.   https://doi.org/10.1007/978-3-319-74139-0
6. Ballal, M. S., Wath, M. G., Venkatesh, B. (2018). Current transformer accuracy improvement by digital compensation technique. 2018 20th National Power Systems Conference (NPSC), 1–6.  https://doi.org/10.1109/NPSC.2018.8771706
7. Xia, X., Wang, Z., and Gao, Y. (2000). Estimation of non-statistical uncertainty using fuzzy-set theory. Measurement Science and Technology, 11(4), 430–435.  http://www.people.vcu.edu/~lparker/DBGroup/References/ Estimati.pdf.
8. Vasylets, K., Kvasnikov, V., Vasylets, S. (2022). Refinement of the mathematical model of electrical energy measurement uncertainty in reduced load mode. Eastern-European Journal of Enterprise Technologies, 4 (8 (118)).  https://doi.org/10.15587/1729-4061.2022.262260