Housing Passport Knowledge Graph: Promoting a Circular Economy in Urban Residential Buildings DOI Creative Commons
Naomi Keena, Avi Friedman, Mojtaba Parsaee

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106050 - 106050

Published: Dec. 1, 2024

Language: Английский

Demand response optimization for smart grid integrated buildings: Review of technology enablers landscape and innovation challenges DOI Creative Commons
Liana Toderean, Tudor Cioara, Ionuț Anghel

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 326, P. 115067 - 115067

Published: Nov. 17, 2024

Language: Английский

Citations

7
A new method for dynamic load simulation of urban building complexes’ heating considering building level occupancy based on shoebox algorithm DOI
Wenhao Zhou, Yaowen Chen, Yanfeng Liu

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 261, P. 111710 - 111710

Published: June 2, 2024

Language: Английский

Citations

4
An Information Integration Framework Toward Cross-Organizational Management of Integrated Energy Systems DOI

F. Babaei,

Ramin Bozorgmehry Boozarjomehry,

Z. Kheirkhah Ravandi

et al.

Journal of Industrial Information Integration, Journal Year: 2025, Volume and Issue: unknown, P. 100791 - 100791

Published: Feb. 1, 2025

Language: Английский

Citations

0
AI Agent-Based Intelligent Urban Digital Twin (I-UDT): Concept, Methodology, and Case Studies DOI Creative Commons

Sebin Choi,

Sungmin Yoon

Smart Cities, Journal Year: 2025, Volume and Issue: 8(1), P. 28 - 28

Published: Feb. 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.

Language: Английский

Citations

0
Semantic Building Energy Modeling: Analysis Across Geospatial Scales DOI Creative Commons

Samuel Wolk,

Christoph Reinhart

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112883 - 112883

Published: March 1, 2025

Language: Английский

Citations

0
Ontology for holistic building performance modeling and analysis DOI Creative Commons
Duygu Utkucu, Rafael Sacks

Automation in Construction, Journal Year: 2025, Volume and Issue: 175, P. 106197 - 106197

Published: April 18, 2025

Language: Английский

Citations

0
Multi-objective optimization of buildings in urban scale for early stage planning and parametric design DOI

Yubo Wang,

Jiwei Guo,

Yiqiang Jiang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105714 - 105714

Published: July 30, 2024

Language: Английский

Citations

2
Housing Passport Knowledge Graph: Promoting a Circular Economy in Urban Residential Buildings DOI Creative Commons
Naomi Keena, Avi Friedman, Mojtaba Parsaee

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106050 - 106050

Published: Dec. 1, 2024

Language: Английский

Citations

1