دورية أكاديمية
A text analytic framework for gaining insights on the integration of digital twins and machine learning for optimizing indoor building environmental performance
| العنوان: | A text analytic framework for gaining insights on the integration of digital twins and machine learning for optimizing indoor building environmental performance |
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| المؤلفون: | Stylianos Karatzas, Grigorios Papageorgiou, Vasiliki Lazari, Sotirios Bersimis, Andreas Fousteris, Polychronis Economou, Athanasios Chassiakos |
| المصدر: | Developments in the Built Environment, Vol 18, Iss , Pp 100386- (2024) |
| بيانات النشر: | Elsevier, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) LCC:Building construction |
| مصطلحات موضوعية: | Indoor environmental quality, Comfort, Digital twins, Artificial intelligence, Machine learning, Engineering (General). Civil engineering (General), TA1-2040, Building construction, TH1-9745 |
| الوصف: | Recent technological advancements in distributed sensing, pervasive computing, context-awareness, machine learning and Digital Twins (DTs) allow the built environment to cope with upcoming challenges in a better way than before and achieve comfort and well-being in buildings. This paper takes a unique approach by not conducting a systematic and exhaustive review, that would require enormous effort to uncover intricate interdependencies among various subtopics. Instead, it proposes a framework leveraging Artificial Intelligence and Machine Learning (AI/ML) techniques to extract valuable insights from the existing literature. Adopting the Digital Twin high-level architecture as its foundation, the paper introduces a clustering approach to scrutinize Indoor Environmental Quality, Energy Efficiency, and Occupant Comfort—key facets influencing indoor building performance. This innovative methodology aims to provide a more nuanced understanding of the relationships within these critical aspects by harnessing the capabilities of AI/ML techniques and the conceptual framework of Digital Twin architecture. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2666-1659 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S266616592400067X; https://doaj.org/toc/2666-1659 |
| DOI: | 10.1016/j.dibe.2024.100386 |
| URL الوصول: | https://doaj.org/article/ba4e9005bdc34ec8adc0123f1ae78018 |
| رقم الأكسشن: | edsdoj.ba4e9005bdc34ec8adc0123f1ae78018 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 26661659 |
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| DOI: | 10.1016/j.dibe.2024.100386 |