Automated System for Processing Initial Data on Electrical Loads in Multi-Apartment Residential Buildings
The statistical analysis of electricity consumption in multifamily residential buildings was conducted to justify the values of specific loads for these buildings. The foundation for this analysis was the daily profiles of electricity consumption. Given the limited ability to obtain a large number of electricity consumption profiles for multifamily residential buildings, the approach adopted involved determining the values of specific loads based on parameters from private samples of the overall population of the multifamily building. Subsequently, statistical processing of the daily power profiles was conducted for each cluster of the multifamily building based on the obtained representative samples. To process the initial data on electricity consumption in the apartments of the multifamily building, a program was developed using the R programming language for statistical data processing and graphical work. The functioning of this program utilized the pre-installed “R” version 4.1.1, along with the installed database server “Firebird” version 2.5.9. The primary programming language for the program “Complex for Automated Processing of Initial Data on Electrical Loads of Multifamily Residential Buildings” is Delphi. The development environment and compiler used is Embarcadero® Delphi 11. The main function of the program is to calculate the key parameters of specific power for the apartments in the multifamily building, processing the initial data on electricity consumption to assess their specific electrical power.
Authors
- Vladimir Soluyanov (ORCID: https://orcid.org/0000-0002-0004-7509)
- Azat Akhmetshin (ORCID: https://orcid.org/0000-0003-4424-7761)
- Alexander Fedotov (ORCID: https://orcid.org/0000-0003-4235-8038)
Institutions
- Kazan State Power Engineering University (RU)
Publication Details
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1109/smartindustrycon65166.2025.10986138
- Primary Topic
- Sensor Technology and Measurement Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00