| Issue |
E3S Web Conf.
Volume 376, 2023
International Scientific and Practical Conference “Environmental Risks and Safety in Mechanical Engineering” (ERSME-2023)
|
|
|---|---|---|
| Article Number | 03027 | |
| Number of page(s) | 6 | |
| Section | III Civil and Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202337603027 | |
| Published online | 31 March 2023 | |
Application of artificial intelligence and neural network technologies in the construction industry
Moscow State University of Civil Engineering, 26, Yaroslavskoe Shosse, 129337, Moscow, Russia
* Corresponding author: garyaev@mgsu.ru
One of the problems that may arise in the way of successful implementation of energy supply in urban areas is the difficulty of analyzing and interpreting a large amount of digital data received from various sensors. This problem may adversely affect the performance of energy organizations. The purpose of this study is to study modern tools to solve the problem of processing big data using technologies of simulation and artificial intelligence. This study is dedicated to the development of innovative digital models for the balanced distribution of energy consumption in urban areas.
Key words: neural networks / artificial intelligence / construction / model / deep learning
© The Authors, published by EDP Sciences, 2023
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.
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