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dc.contributor.authorYifan, Li
dc.contributor.authorXinghui, Zhang
dc.date.accessioned2026-08-20T21:26:06Z
dc.date.available2026-08-20T21:26:06Z
dc.date.copyright2025/09/18
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-6841.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314446
dc.description.abstractAbstractIn the context of pressing challenges related to energy and the environment, enhancing building energy efficiency assumes paramount importance. Accurate prediction of heat loads emerges as a pivotal aspect for optimizing heating energy ...
dc.publisherAmerican Society of Civil Engineers
dc.titleOptimization of Building Heat Load Prediction Based on Rolling Period Average Outdoor Temperature and Interpretable Models
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue1
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6841
dc.journal.fristpage04025107-1
dc.journal.lastpage04025107-14
dc.page14
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
dc.contenttypeFulltext


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