Artificial intelligence and the internet of things in environmentally building water consumption model: Bibliometric analysis
Environmentally friendly houses are a solution to reduce the negative impact of buildings on the environment. One of the criteria is water conservation in housing, the implementation of which is heavily influenced by the behaviour of residents. The inhabitants' behaviour varies and affects how...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2025/06/bioconf_10thiccc_08004.pdf |
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| _version_ | 1832098648779915264 |
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| author | Wijayaningtyas Maranatha Lomi Abraham Nursanti Ellysa Sebayang Nusa Istiqhoma Maria |
| author_facet | Wijayaningtyas Maranatha Lomi Abraham Nursanti Ellysa Sebayang Nusa Istiqhoma Maria |
| author_sort | Wijayaningtyas Maranatha |
| collection | DOAJ |
| description | Environmentally friendly houses are a solution to reduce the negative impact of buildings on the environment. One of the criteria is water conservation in housing, the implementation of which is heavily influenced by the behaviour of residents. The inhabitants' behaviour varies and affects how much water conservation and conservation are applied in the building. This study performs a thorough bibliometric analysis of the scientific output concerning using artificial intelligence and the Internet of Things in water consumption and conservation in environmentally friendly or sustainable buildings. The research is based on data from Scopus, covering the period from 1996 to 2024. The study found research collaborations among diverse institutions and nations, highlighting prominent research achievements in this sector. The network visualisation analysis was conducted using a VOS viewer. The results of this study can provide valuable insights for scholars, experts, politicians, and funding organisations seeking a comprehensive overview of the current trends and objectives in this field. The results from this study provide a valuable framework for future research directions and underscore the importance of continued investment in implementing Artificial Intelligence and the Internet of Things to achieve water conservation in the future. |
| format | Article |
| id | doaj-art-dcd566a3baaa4490a52e4b7a85aca673 |
| institution | Kabale University |
| issn | 2117-4458 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj-art-dcd566a3baaa4490a52e4b7a85aca6732025-02-05T10:43:24ZengEDP SciencesBIO Web of Conferences2117-44582025-01-011550800410.1051/bioconf/202515508004bioconf_10thiccc_08004Artificial intelligence and the internet of things in environmentally building water consumption model: Bibliometric analysisWijayaningtyas Maranatha0Lomi Abraham1Nursanti Ellysa2Sebayang Nusa3Istiqhoma Maria4Architectural Program, National Institute of Technology MalangElectrical Engineering, National Institute of Technology MalangIndustrial Engineering, National Institute of Technology MalangCivil Engineering, National Institute of Technology MalangArchitectural Program, National Institute of Technology MalangEnvironmentally friendly houses are a solution to reduce the negative impact of buildings on the environment. One of the criteria is water conservation in housing, the implementation of which is heavily influenced by the behaviour of residents. The inhabitants' behaviour varies and affects how much water conservation and conservation are applied in the building. This study performs a thorough bibliometric analysis of the scientific output concerning using artificial intelligence and the Internet of Things in water consumption and conservation in environmentally friendly or sustainable buildings. The research is based on data from Scopus, covering the period from 1996 to 2024. The study found research collaborations among diverse institutions and nations, highlighting prominent research achievements in this sector. The network visualisation analysis was conducted using a VOS viewer. The results of this study can provide valuable insights for scholars, experts, politicians, and funding organisations seeking a comprehensive overview of the current trends and objectives in this field. The results from this study provide a valuable framework for future research directions and underscore the importance of continued investment in implementing Artificial Intelligence and the Internet of Things to achieve water conservation in the future.https://www.bio-conferences.org/articles/bioconf/pdf/2025/06/bioconf_10thiccc_08004.pdf |
| spellingShingle | Wijayaningtyas Maranatha Lomi Abraham Nursanti Ellysa Sebayang Nusa Istiqhoma Maria Artificial intelligence and the internet of things in environmentally building water consumption model: Bibliometric analysis BIO Web of Conferences |
| title | Artificial intelligence and the internet of things in environmentally building water consumption model: Bibliometric analysis |
| title_full | Artificial intelligence and the internet of things in environmentally building water consumption model: Bibliometric analysis |
| title_fullStr | Artificial intelligence and the internet of things in environmentally building water consumption model: Bibliometric analysis |
| title_full_unstemmed | Artificial intelligence and the internet of things in environmentally building water consumption model: Bibliometric analysis |
| title_short | Artificial intelligence and the internet of things in environmentally building water consumption model: Bibliometric analysis |
| title_sort | artificial intelligence and the internet of things in environmentally building water consumption model bibliometric analysis |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2025/06/bioconf_10thiccc_08004.pdf |
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