Supervised machine learning with regression for the IRT-T reactor cooling system

The purpose of this study is to create a machine learning model for the IRT-T reactor cooling system, which can estimate and predict the temperature difference in the secondary circuit. To do this, data was downloaded from the SCADA system, then an application was developed for converting and prepro...

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Bibliographic Details
Main Authors: Kublinskiy Maxim, Smolnikov Nikita, Naymushin Artem
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:ITM Web of Conferences
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_03007.pdf