E3S Web Conf.
Volume 216, 2020Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2020)
|Number of page(s)||2|
|Published online||14 December 2020|
Selection of the optimal type of thermal insulation structure based on the neural network modelling
1 Kazan State Power Engineering University, 420066, 51 Krasnoselskaya Street, Kazan, Russian Federation
2 Kazan National Research Technological University, 420015, 68 Karl Marx Street, Kazan, Russian Federation
3 JSC «Tatenergo», Kazan, Russian Federation
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.