@inproceedings{842f6c84963148c88a5427881a3ac7b0,
title = "The architecture and functionality of the software to identify the actual voltage static load characteristics of large consumers",
abstract = "The correct voltage static load characteristics are required for efficient and reliable dispatching control in power systems and for stability simulation studies. Nowadays, one of the key problems is updating available static load characteristics due to the lack of special software for voltage and power measurement data processing. This article proposes the algorithm and architecture of special software and their implementation to computerize the process of correct voltage static load characteristics obtaining. The developed algorithm is based on data mining methods, and the results of calculations can be used in software packages that support the Common Information Model standard.",
keywords = "Anomaly detection, Cluster analysis, Common information model, Data mining, Regression analysis, Software, Voltage static load characteristics, ZIP model",
author = "Mikhail Kondrashov and Aleksey Pankratov and Natalia Batseva",
year = "2019",
month = apr,
day = "1",
doi = "10.1109/SIBCON.2019.8729660",
language = "English",
series = "2019 International Siberian Conference on Control and Communications, SIBCON 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 International Siberian Conference on Control and Communications, SIBCON 2019 - Proceedings",
address = "United States",
note = "2019 International Siberian Conference on Control and Communications, SIBCON 2019 ; Conference date: 18-04-2019 Through 20-04-2019",
}