Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115614 - 115614
Опубликована: Март 1, 2025
Язык: Английский
Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115614 - 115614
Опубликована: Март 1, 2025
Язык: Английский
Smart Cities, Год журнала: 2025, Номер 8(1), С. 28 - 28
Опубликована: Фев. 11, 2025
The concept of digital twins (DTs) has expanded to encompass buildings and cities, with urban building energy modeling (UBEM) playing a crucial role in predicting urban-scale consumption via individual use interactions. As virtual model within (UDTs), UBEM offers the potential for managing sustainable cities. However, UDTs face challenges regard integrating large-scale data relying on bottom-up approaches. In this study, we propose an AI agent-based intelligent twin (I-UDT) enhance DTs’ technical realization UBEM’s service functionality. Integrating GPT UDT enabled efficient integration fragmented city-scale extraction features, addressing limitations traditional UBEM. This framework ensures continuous updates streamlined provision updated information users future studies. research establishes I-UDT lays foundation implementations. case studies include (1) analysis, (2) prediction, (3) feature engineering, (4) services 3500 Seoul. Through these studies, was integrated analyzed scattered data, predicted consumption, derived conditioned areas, evaluated benchmark.
Язык: Английский
Процитировано
0Automation in Construction, Год журнала: 2025, Номер 172, С. 106064 - 106064
Опубликована: Фев. 20, 2025
Язык: Английский
Процитировано
0Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106283 - 106283
Опубликована: Март 1, 2025
Процитировано
0Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115643 - 115643
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115614 - 115614
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0