System for assessment and prediction of the technical condition of power oil-filled transformer equipment of distribution networks using machine learning

System for assessment and prediction of the technical condition of power oil-filled transformer equipment of distribution networks using machine learning

RELEVANCE the research is to develop a new system for assessing the technical condition of power oil-filled transformer equipment of distribution networks.OBJECT. To increase the accuracy of assessing the technical condition of power oil-filled transformer equipment (POTE) of distribution networks t...

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Bibliographic Details
Main Authors: A. R. Galyautdinova, I. V. Ivshin, S. A. Solovev
Format: Article
Language:English
Published: Kazan State Power Engineering University 2024-06-01
Series:Известия высших учебных заведений: Проблемы энергетики
Subjects:
control system
power oil-filled transformer equipment
distribution networks
machine learning
control methods
assessment and forecasting of technical condition
Online Access:https://www.energyret.ru/jour/article/view/3020
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