Existing methods of accumulation, systematization and processing of big data in the field of housing and communal services and the use of energy resources
https://doi.org/10.21285/2227-2917-2025-2-236-243
EDN: XYCAAB
Abstract
This work is a study of existing methods of accumulation, systematization and processing of big data in the Russian housing industry with the possibility of using them to improve the efficiency of energy resources. Energy management in buildings is a major challenge due to high energy consumption. The task is to efficiently use energy resources in residential buildings. The purpose of the study is to identify best practices, innovative solutions and relevant case studies that can contribute to more efficient energy consumption management in the Russian housing sector. The problems, advantages and limitations of the methods studied in the article are taken into account. A modern basis for improving the quality and development of digitalization in the country's housing and communal services was used on the basis of the All-Russian Industrial Association of Life Support Employers. Recommendations are given, such as the development of innovative technologies for data collection and analysis, the development of models and forecasting methods, and the study of various factors affecting energy efficiency and resource management in the housing sector. Attention should be paid to the training of personnel with appropriate competencies to use their knowledge and skills in the field of housing and communal services.
About the Authors
A. A.A. Adegbola
Irkutsk National Research Technical University
Russian Federation
Competing Interests:
Russian Federation
Akilow A.A. Adegbola, Postgraduate Student
83 Lermontov St., Irkutsk 664074
Competing Interests:
The authors declare no conflict of interests regarding the publication of this article.
M. Yu. Tolstoy
Irkutsk National Research Technical University
Russian Federation
Competing Interests:
Russian Federation
Mikhail Yu. Tolstoy, Cand. Sci. (Eng.), Associate Professor, Head of the Department of Engineering Communications and Life Support Systems
Author ID: 106145
83 Lermontov St., Irkutsk 664074
Competing Interests:
The authors declare no conflict of interests regarding the publication of this article.
K. I. Chizhik
Moscow State University of Civil Engineering
Russian Federation
Competing Interests:
Russian Federation
Konstantin I. Chizhik, Cand. Sci. (Eng.), Associate Professor, Associate Professor of the Department of Water Supply and Sanitation
Author ID: 803140
26 Yaroslavskoe Shosse, Moscow 129337
Competing Interests:
The authors declare no conflict of interests regarding the publication of this article.
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For citations:
Adegbola A., Tolstoy M.Yu., Chizhik K.I. Existing methods of accumulation, systematization and processing of big data in the field of housing and communal services and the use of energy resources. Izvestiya vuzov. Investitsii. Stroitelstvo. Nedvizhimost. 2025;15(2):236-243. (In Russ.) https://doi.org/10.21285/2227-2917-2025-2-236-243. EDN: XYCAAB
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