| dc.contributor.author | Shu, Lei | |
| dc.contributor.author | Zhao, Dong | |
| dc.date.accessioned | 2026-08-20T21:26:15Z | |
| dc.date.available | 2026-08-20T21:26:15Z | |
| dc.date.copyright | 2026/05/26 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JCCEE5.CPENG-6899.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314451 | |
| dc.description.abstract | AbstractResidential energy retrofits are crucial for achieving national energy efficiency
goals, yet their large-scale implementation is hindered by diverse climate conditions
and occupant behaviors. This study introduces a scalable computational ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Scalable Computational Framework for Evaluating Residential Energy Retrofits across Diverse Climates and Occupant Behaviors | |
| dc.type | Journal Article | |
| dc.journal.volume | 40 | |
| dc.journal.issue | 5 | |
| dc.journal.title | Journal of Computing in Civil Engineering | |
| dc.identifier.doi | 10.1061/JCCEE5.CPENG-6899 | |
| dc.journal.fristpage | 04026054-1 | |
| dc.journal.lastpage | 04026054-13 | |
| dc.page | 13 | |
| dc.tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005 | |
| dc.contenttype | Fulltext | |
