Application of artificial intelligence and neural network technologies in the construction industry
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 purp...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/13/e3sconf_ersme2023_03027.pdf |
| _version_ | 1827971321576816640 |
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| author | Garyaev Nikolay Garyaev Andrey |
| author_facet | Garyaev Nikolay Garyaev Andrey |
| author_sort | Garyaev Nikolay |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T19:05:58Z |
| format | Article |
| id | doaj.art-93f3bd880eca49a6a494a4c5fb05bda4 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-09T19:05:58Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-93f3bd880eca49a6a494a4c5fb05bda42023-04-07T08:58:19ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013760302710.1051/e3sconf/202337603027e3sconf_ersme2023_03027Application of artificial intelligence and neural network technologies in the construction industryGaryaev Nikolay0Garyaev Andrey1Moscow State University of Civil EngineeringMoscow State University of Civil EngineeringOne 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/13/e3sconf_ersme2023_03027.pdfneural networksartificial intelligenceconstructionmodeldeep learning |
| spellingShingle | Garyaev Nikolay Garyaev Andrey Application of artificial intelligence and neural network technologies in the construction industry E3S Web of Conferences neural networks artificial intelligence construction model deep learning |
| title | Application of artificial intelligence and neural network technologies in the construction industry |
| title_full | Application of artificial intelligence and neural network technologies in the construction industry |
| title_fullStr | Application of artificial intelligence and neural network technologies in the construction industry |
| title_full_unstemmed | Application of artificial intelligence and neural network technologies in the construction industry |
| title_short | Application of artificial intelligence and neural network technologies in the construction industry |
| title_sort | application of artificial intelligence and neural network technologies in the construction industry |
| topic | neural networks artificial intelligence construction model deep learning |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/13/e3sconf_ersme2023_03027.pdf |
| work_keys_str_mv | AT garyaevnikolay applicationofartificialintelligenceandneuralnetworktechnologiesintheconstructionindustry AT garyaevandrey applicationofartificialintelligenceandneuralnetworktechnologiesintheconstructionindustry |