Application of intelligent energy consumption control systems in energy service projects
https://doi.org/10.26794/3030-7097-2026-2-3-58-66
Abstract
This article analyzes intelligent energy consumption control systems as a tool for improving energy efficiency in the implementation of energy service projects. The aim of the study is to identify the role and capabilities of such systems and to substantiate the need for adapting existing solutions to create a unified digital management framework. The methodological basis of the research consists of the principles of system analysis, methods for classifying information systems, and analysis of the regulatory framework for energy service activities. The empirical base includes data from the State Report on the State of Energy Saving in the Russian Federation for 2023 and analytical reviews of the ASKUE market. The study reveals that none of the existing classes of systems individually possesses the full functionality necessary for end-to-end management of an energy service project. The share of intelligent metering devices in Russia reaches 72%. The results of energy service contracts implementation in 2023 are analyzed. The findings indicate that the key direction of development is the adaptation and integration of existing systems to form a unified digital management framework for energy service projects. The technological base for digitalization has already been formed, but existing solutions require adaptation for complex business tasks.
About the Authors
D. S. GrechushkinaRussian Federation
Daria S. Grechushkina — master’s degree student
Moscow
N. V. Grineva
Russian Federation
Natalia V. Grineva — Cand. Sci. (Econ.), Assoc. Prof., Assoc. Prof. of the Department of Information Technology
Moscow
P. E. Golosov
Russian Federation
Pavel E. Golosov — Cand. Sci. (Tech.), Director of the Institute of Social Sciences
Moscow
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Review
For citations:
Grechushkina D.S., Grineva N.V., Golosov P.E. Application of intelligent energy consumption control systems in energy service projects. Digital Solutions and Artificial Intelligence Technologies. 2026;2(3):58-66. (In Russ.) https://doi.org/10.26794/3030-7097-2026-2-3-58-66
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