RoboAuditor-LLM: A Robotic System for Energy Auditing via a Large Language Model and an Actionable Semantic Feature Map

dc.contributor.author	Cai, Weijia
dc.contributor.author	Huang, Lei
dc.contributor.author	Zou, Zhengbo
dc.date.accessioned	2026-08-20T10:39:17Z
dc.date.available	2026-08-20T10:39:17Z
dc.date.copyright	2025/11/26
dc.date.issued	2025
dc.identifier.other	AOMJAH.AOENG-0087.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4311082
dc.description.abstract	Abstract Buildings significantly contribute to electricity consumption, increasing the risk of costly blackouts and safety issues due to growing demand. However, plug loads remain underexplored in energy audits due to their complexity and variability, ...
dc.publisher	American Society of Civil Engineers
dc.title	RoboAuditor-LLM: A Robotic System for Energy Auditing via a Large Language Model and an Actionable Semantic Feature Map
dc.type	Journal Article
dc.journal.volume	3
dc.journal.issue	1
dc.journal.title	ASCE OPEN: Multidisciplinary Journal of Civil Engineering
dc.identifier.doi	10.1061/AOMJAH.AOENG-0087
dc.journal.fristpage	04025013-1
dc.journal.lastpage	04025013-13
dc.page	13
dc.tree	ASCE OPEN: Multidisciplinary Journal of Civil Engineering:;2025:;Volume ( 003 ):;issue: 001
dc.contenttype	Fulltext