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Economic Safety Level Increase of the Electric Power Industry Enterprises

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Digital Science (DSIC18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 850))

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Abstract

One of the priority directions of development for the advanced countries today is the digitization of the economy. The article deals with the most important aspects of this process in the one of the largest sectors of the Russian economy - electric power industry. Russian power industry is characterized by a technical lag, so the introduction of modern digital technologies and the formation of an innovative development strategy should become the defining vectors of the electric power enterprises development. The aim of this research work is to analyze the opportunities of Russian power industry in the conditions of digitization of the economy. The methodology of the work includes accumulation of information, their correlation with each other and comparison, analysis and assessment of actual information. The conclusion of the importance of the power industry transformation and development is necessary to drive digital technological innovations. Selection of the main directions of the industry development in the conditions of digitization of the economy and the system of indicators for the assessment of the level of the power industry enterprises economic security.

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Acknowledgment

The work is carried out based on the task on fulfilment of government contractual work in the field of scientific activities as a part of base portion of the state task of the Ministry of Education and Science of the Russian Federation to Perm National Research Polytechnic University (topic # 26.6884.2017/8.9 “Sustainable development of urban areas and the improvement of the human environment”).

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Correspondence to Kseniy Lapshina .

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Lapshina, K., Mingaleva, Z. (2019). Economic Safety Level Increase of the Electric Power Industry Enterprises. In: Antipova, T., Rocha, A. (eds) Digital Science. DSIC18 2018. Advances in Intelligent Systems and Computing, vol 850. Springer, Cham. https://doi.org/10.1007/978-3-030-02351-5_8

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