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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01037.pdf |
| _version_ | 1818443441619599360 |
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| author | Akhmetova Irina Balzamova Elena Bronskaya Veronika Balzamov Denis Lapin Konstantin Kharitonova Olga |
| author_facet | Akhmetova Irina Balzamova Elena Bronskaya Veronika Balzamov Denis Lapin Konstantin Kharitonova Olga |
| author_sort | Akhmetova Irina |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T19:00:06Z |
| format | Article |
| id | doaj.art-2052f55d52384ac1981a78a0034ace84 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-14T19:00:06Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-2052f55d52384ac1981a78a0034ace842022-12-21T22:50:58ZengEDP 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 |
| 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 |
| title | 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_short | 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 |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01037.pdf |
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