Approaches to the modernization of the energy industry to ensure the development of the digital economy

Authors

  • Ilya V. Samarin Gubkin Russian State University of Oil and Gas

Keywords:

energy, industry, modeling, forecasting, economics

Abstract

In the era of digitalization of economic processes, companies face the task of deeply transforming existing production resource allocation strategies and demand forecasting methods. Such a transformation implies a transition to integration into a single information space, which, in turn, can significantly improve the accuracy and efficiency of forecasting business activity. This transformation is becoming a cornerstone in the formation of sustainable development at the level of individual States. The scientific novelty of this study lies in the development of a methodology for creating a unified system for forecasting demand for product components in the energy industry, included in the general energy information system. The authors highlight the potential for optimizing individual elements and structures in order to improve data transmission and processing at multiple levels. The main focus of the research is aimed at adapting the energy sector to the conditions of the digital economy through the use of predictive algorithms for product consumption. The importance of the research for practical application is due to the possibility of integrating the developed solutions into the modernization process of enterprises participating in the national production system in the context of large-scale digitalization of economic processes. As an example of the successful implementation of this approach, the experience of the Republic of Kazakhstan is presented, demonstrating the practical applicability and effectiveness of the introduction of innovative digital technologies into standard management and forecasting procedures in the energy industry.

References

Гальперова Е.В., Кононов Д.Ю., Мазурова О.В. Долгосрочное прогнозирование спроса на топливо на региональных энергетических рынках с учетом неопределенности // Энергетика России в XXI веке. Инновационное развитие и управление. 2018. № 1. С. 3-7.

Afonso Ó., Afonso S., Afonso I. Special Issue on energy economics: Demand, Prices and Welfare // Portuguese Economic Journal. 2016. Vol. 15(2). pp. 57-58.

Arun S.L., Selvan M.P. Smart residential energy management system for demand response in buildings with energy storage devices. Frontiers in Energy. 2018.

Beaumont J. A simulation model for U.K. energy demand // Operational Research Society. 1982. Vol. 33(6). 592 р.

Bieser J., Hilty L. An approach to assess indirect environmental effects of digitalization based on a time-use perspective. Ed. H.-J. Bungartz // Advances and New Trends in Environmental Informatics. Cham: Springer International Publishing, 2018. pp. 67-78.

Csilla P., Zaránd P., Mayer A. Digitalization and networking of analog simulators and portal images/ / Strahlentherapie und Onkologie. 2007. Vol. 183(3). pp. 117-120.

Frischknecht R. Cumulative energy demand in LCA: The energy harvested approach // The International Journal of Life Cycle Assessment. 2018. Vol. 20(7). рр. 957-969.

Hong W.-C. Evolutionary algorithms in SVR’s parameter determination // Intelligent Energy Demand Forecasting, London: Springer London, 2016.pp. 41-92.

Ines V. Energy Is essential, but utilities? Digitalization: what does it mean for the energy sector? Ed. C. Linnhoff-Popien, R. Schneider, M. Zaddach // Digital Marketplaces Unleashed. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. pp. 829-838.

Khayyat N.T. Production function models estimation // Energy Demand in Industry: What Factors Are Important? Dordrecht: Springer Netherlands, 2018. pp. 109-128.

Li Huiyang L., Haya Salah H., Zhang Z. Erratum to: consumer electric energy management strategies and preferences in emergency demand response: results from a survey. Ed. S.M. Cetiner, P. Fechtelkotter, M. Legatt // Advances in Human Factors in Energy: Oil, Gas, Nuclear and Electric Power Industries. Cham: Springer International Publishing, 2017. E1-E1.

Liu Y. Seasonal relationship of peak demand and energy impacts of energy efficiency measures // A Review of Evidence in the Electric Energy Efficiency Programmes. Energy Efficiency. 2016. Vol. 9(5). рр. 1015-1035.

Martin S., Pablo J., Garcia-Alegre M.-G., Guinea D. Reducing thermal energy demand in residential buildings under spanish climatic conditions: qualitative control strategies for massive shutter positioning // Building Simulation. 2017. Vol. 10(5). pp. 643-661.

Nils U., Ahlemann F. Digitalization as a risk: security and business continuity management are central cross-divisional functions of the company // IT Management in the Digital Age: A Roadmap for the IT Department of the Future, Cham: Springer International Publishing, 2019. pp. 85-92.

Salminen Vesa S., Ruohomaa H., Kantola J. Digitalization and Big Data supporting responsible business co-evolution. Ed. J.I. Kantola, T. Barath, S. Nazir, T. Andre // Advances in Human Factors, Business Management, Training and Education. Cham: Springer International Publishing, 2017. pp. 1055-1067.

Scheer A.-W. Theses on digitalization. Ed. F. Abolhassan // The Drivers of Digital Transformation: why there’s no way around the cloud. Cham: Springer International Publishing, 2017. pp. 33-43.

Shibabrata Ch., Patra A.K., Parida A., Chatterjee S. Renewable energy capacity estimation for indian energy sector using energy demand forecasting through fuzzy time series. Ed. S. SenGupta, A.F. Zobaa, K.S. Sherpa, A.K. Bhoi // Advances in Smart Grid and Renewable Energy. Singapore: Springer Singapore, 2018. pp. 551-558.

Traunmüller R. Digitalization as Challenge for Electronic government. Ed. A. Keho, E. Francesconi // Electronic Government and the Information Systems Perspective. Cham: Springer International Publishing, 2017. Vol. 3-8.

Wittmann J. Electrification and digitalization as disruptive trends: new perspectives for the automotive industry? In «Phantom Ex Machina: Digital Disruption’s Role in Business Model Transformation». Ed. A. Khare, B. Stewart, R. Schatz. Cham: Springer International Publishing, 2017. pp. 137-159.

Zhou Ji. Digitalization and intelligentization of manufacturing industry // Advances in Manufacturing. 2013. Vol. 1(1). pp. 1-7.

Additional Files

Published

2024-03-30

How to Cite

Samarin, I. V. (2024). Approaches to the modernization of the energy industry to ensure the development of the digital economy. Bakery of Russia, 68(1), 45–62. Retrieved from https://hbreview.ru/index.php/hb/article/view/34

Issue

Section

TECHNOLOGY AND PRODUCTION

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.