Analysis of the Prospects for the IoT Technology in the Electric Power Industry
( Pp. 9-18)

Technological development is increasingly influencing all spheres of life, including production processes, offering better solutions than existing ones, but the path to widespread use can sometimes be very long. This article focuses on IoT technology and its applicability in the electric power industry. The authors considered the advantages and disadvantages of this initiative, and a description of the industry in question is also given. Special attention is paid to predictive (preventive) maintenance. Additionally, recommendations were given on the implementation of the technology in the production of the electric power industry and their economic assessment was carried out. It was found that within the framework of the proposed model, the Internet of Things can begin to make a profit, starting on average from the 5th year after implementation, which is in line with the existing estimates of similar initiatives, and the funds spent will help form an IoT ecosystem that is able to offer comprehensive solutions to the industry, including preventive maintenance and repairs "as required". However, the security of such systems remains a serious problem, which requires additional control from the company both over the software used and the sensors themselves.

Nazarova Y.A., Korzin A.S., Demidov A.S., (2021), ANALYSIS OF THE PROSPECTS FOR THE IOT TECHNOLOGY IN THE ELECTRIC POWER INDUSTRY. Computational Nanotechnology, 4 => 9-18.

Glukhov V.V., Sergeev A.I. Analysis of indicators of the efficiency of investment projects. Scientific and Technical Statements of the St. Petersburg State Polytechnic University. Economic Sciences. 2008. No. 4 (61). URL: https://cyberleninka.ru/article/n/analizpokazateley-effektivnosti-investitsionnyh-proektov.
Leit o J., Ferreira J., Santibanez-Gonz lez E. New insights into decoupling economic growth, technological progress and carbon dioxide emissions. Evidence from 40 Countries, Technological Forecasting and Social Change. 2022. Vol. 174. P. 121250. ISSN 0040-1625. DOI: https://doi.org/10.1016/j.techfore.2021.121250. URL: https://www.sciencedirect.com/science/article/pii/S0040162521006843.
Khushbu G., Chandramani G., Chhatrawat R.S. et al.Internet of things in manufacturing. A Review, Materials Today. Proceedings. 2021. ISSN 2214-7853. DOI: https://doi.org/10.1016/j.matpr.2021.05.321. URL: https://www.sciencedirect.com/science/article/pii/S2214785321039158.
Majd S.A. Designing of internet of things for real time system. Materials Today. Proceedings. 2021. ISSN 2214-7853. DOI: https://doi.org/10.1016/j.matpr.2021.03.527. URL: (https://www.sciencedirect.com/science/article/pii/S2214785321026122).
Maslova P.A., Daneev O.V. Econometricc study of the electricity market in Russia. Hrono Economics. 2019. No. 3 (16). URL: https://cyberleninka.ru/article/n/ekonometricheskoe-issledovanierynka-elektroenergetiki-rossii.
Nevmerzhitskiy V.L. Smart houses. Innovation Management: Theory, Methodology, Practice. 2016. No. 15. URL: https://cyberleninka.ru/article/n/umnye-doma.
Popandopulo A.Yu. Determination of the discounting rate. Bulletin of Moscow University. Series 6: Economy. 2005. No. 2. URL: https://cyberleninka.ru/article/n/opredelenie-stavki-diskontirovaniya.
Ranran Wang, Assenova V.A., Hertwich E.G. Energy system decarbonization and productivity gains reduced the coupling of CO2 emissions and economic growth in 73 countries between 1970 and 2016. One Earth. 2021. ISSN 2590-3322. DOI: https://doi.org/10.1016/j.oneear.2021.10.010. URL: https://www.sciencedirect.com/science/article/pii/S2590332221005492.
Richa Singhai, Rama Sushil. An investigation of various security and privacy issues in Internet of Things. Materials today. Proceedings. 2021. ISSN 2214-7853. DOI: https://doi.org/10.1016/j.matpr.2021.07.259. URL: https://www.sciencedirect.com/science/article/pii/S221478532105118X.
Shcherbinina M.Y., Stefanova N.A. Concept of the Internet of Things. Creative Economy. 2016. No. 11. URL: https://cyberleninka.ru/article/n/kontseptsiya-internet-veschey.
Sokolov M.N., Smolyaninova K.A., Yakusheva N.A. Security problems Internet of Things: Survey. Voprosy kiberbezopasnosti. 2015. No. 5 (13). URL: https://cyberleninka.ru/article/n/problemy-bezopasnosti-internetveschey-obzor.
Timber Haaker, Pham Thi Minh Ly, Nhan Nguyen-Thanh, Hanh Thi Hong Nguyen. Business model innovation through the application of the Internet-of-Things: A comparative analysis. Journal of Business Research. 2021. Vol. 126. Pp. 126-136. ISSN 0148-2963. DOI: https://doi.org/10.1016/j.jbusres.2020.12.034. URL: https://www.sciencedirect.com/science/article/pii/S01482963 20308614.

IoT, predictive maintenance, cost-effectiveness, cost recovery, simulation.