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UAV-Derived Data Processing Framework for Enhancing Input Reliability to Create Accurate Community Building Energy Models

dc.contributor.authorRamalingam Rethnam, Omprakash
dc.contributor.authorSalunke, Samarjeet
dc.contributor.authorRamsankaran, RAAJ
dc.contributor.authorThomas, Albert
dc.date.accessioned2026-08-20T21:23:44Z
dc.date.available2026-08-20T21:23:44Z
dc.date.copyright2025/06/30
dc.date.issued2025
dc.identifier.otherJCCEE5.CPENG-6440.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314383
dc.description.abstractAbstractReducing energy consumption of the urban building stock is a driving concern for meeting the global net-zero targets. It is commonly observed that the urban building energy modeling approaches that try to find suitable building retrofit strategies ...
dc.publisherAmerican Society of Civil Engineers
dc.titleUAV-Derived Data Processing Framework for Enhancing Input Reliability to Create Accurate Community Building Energy Models
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue5
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6440
dc.journal.fristpage04025070-1
dc.journal.lastpage04025070-17
dc.page17
dc.treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005
dc.contenttypeFulltext


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