Issue |
E3S Web Conf.
Volume 178, 2020
High Speed Turbomachines and Electrical Drives Conference 2020 (HSTED-2020)
|
|
---|---|---|
Article Number | 01082 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/e3sconf/202017801082 | |
Published online | 09 July 2020 |
Software product to reduce commercial energy losses
1
Orel State Agrarian University named after N.V. Parakhin, Orel, Russia
2
Orel State Agrarian University named after N.V. Parakhin, Orel, Russia
3
Kazan State Power Engineering University, Kazan, Russia
* Corresponding author: maksimka-borodin@yandex.ru
The personnel of electric grid companies spend considerable amount of time searching for noncontractual and non-meteredelectricity consumption. The raids carried out by personnel of electric grid companies to detect electricity theft are not always effective, as they are carried out selectively and often do not take into account many factors that could affect the number of detected cases of electricity theft. The article proposes a software product that allows, on the basis ofconsumers’ registration, who have already stolen electricity, have arrears in payment for consumed electricity, made uncontrolled consumption, carry out a process of technological connection or have non-meter accounting, to send personnel conducting a raid to identify electricity theft. It also makes possible to generate the necessary acts, certificates, etc.in real time, which allows staff to reduce the time to fill out paper versions and transfer the necessary documents to the police. The software product allows to increase the efficiency of raids by electric grid companies, by reducing the time of inspections. In turn, the implementation of the proposed software product will allow electric grid companies to significantly reduce energy losses by increasing the territoriality of raids.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.