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    Scalable Computational Framework for Evaluating Residential Energy Retrofits across Diverse Climates and Occupant Behaviors

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005::page 04026054-1
    Author:
    Shu, Lei
    ,
    Zhao, Dong
    DOI: 10.1061/JCCEE5.CPENG-6899
    Publisher: American Society of Civil Engineers
    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 ...
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      Scalable Computational Framework for Evaluating Residential Energy Retrofits across Diverse Climates and Occupant Behaviors

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314451
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    contributor authorShu, Lei
    contributor authorZhao, Dong
    date accessioned2026-08-20T21:26:15Z
    date available2026-08-20T21:26:15Z
    date copyright2026/05/26
    date issued2026
    identifier otherJCCEE5.CPENG-6899.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314451
    description abstractAbstractResidential 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 ...
    publisherAmerican Society of Civil Engineers
    titleScalable Computational Framework for Evaluating Residential Energy Retrofits across Diverse Climates and Occupant Behaviors
    typeJournal Article
    journal volume40
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6899
    journal fristpage04026054-1
    journal lastpage04026054-13
    page13
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
    contenttypeFulltext
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