Selection of the optimal type of thermal insulation structure based on the neural network modelling

A software package with the user interface for calculating, analyzing and predicting the parameters of cogeneration-based district heating based on the neural network modelling is presented in order to optimize and ensure the reliability of heat networks. The package is the basis for a web-applicati...

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Main Authors: Akhmetova Irina, Balzamova Elena, Bronskaya Veronika, Balzamov Denis, Lapin Konstantin, Kharitonova Olga
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01037.pdf
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spelling doaj-2052f55d52384ac1981a78a0034ace842021-04-02T20:46:46ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012160103710.1051/e3sconf/202021601037e3sconf_rses2020_01037Selection of the optimal type of thermal insulation structure based on the neural network modellingAkhmetova Irina0Balzamova Elena1Bronskaya Veronika2Balzamov Denis3Lapin Konstantin4Kharitonova Olga5Kazan State Power Engineering UniversityKazan State Power Engineering UniversityKazan National Research Technological UniversityKazan State Power Engineering UniversityJSC «Tatenergo»Kazan National Research Technological UniversityA software package with the user interface for calculating, analyzing and predicting the parameters of cogeneration-based district heating based on the neural network modelling is presented in order to optimize and ensure the reliability of heat networks. The package is the basis for a web-application that allows to calculate the characteristics of the heat network in accordance with the model, keep a query log and provide the possibility of administration.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01037.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Akhmetova Irina
Balzamova Elena
Bronskaya Veronika
Balzamov Denis
Lapin Konstantin
Kharitonova Olga
spellingShingle Akhmetova Irina
Balzamova Elena
Bronskaya Veronika
Balzamov Denis
Lapin Konstantin
Kharitonova Olga
Selection of the optimal type of thermal insulation structure based on the neural network modelling
E3S Web of Conferences
author_facet Akhmetova Irina
Balzamova Elena
Bronskaya Veronika
Balzamov Denis
Lapin Konstantin
Kharitonova Olga
author_sort Akhmetova Irina
title Selection of the optimal type of thermal insulation structure based on the neural network modelling
title_short Selection of the optimal type of thermal insulation structure based on the neural network modelling
title_full Selection of the optimal type of thermal insulation structure based on the neural network modelling
title_fullStr Selection of the optimal type of thermal insulation structure based on the neural network modelling
title_full_unstemmed Selection of the optimal type of thermal insulation structure based on the neural network modelling
title_sort selection of the optimal type of thermal insulation structure based on the neural network modelling
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description A software package with the user interface for calculating, analyzing and predicting the parameters of cogeneration-based district heating based on the neural network modelling is presented in order to optimize and ensure the reliability of heat networks. The package is the basis for a web-application that allows to calculate the characteristics of the heat network in accordance with the model, keep a query log and provide the possibility of administration.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01037.pdf
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