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    SolarisBIM.AI: Smart Sustainable Building Planning with BIM-Based Solar-Production Estimation Using Machine-Learning Radiation Forecasts

    Source: Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 006::page 04026076-1
    Author:
    Alves, Josivan Leite
    ,
    Almeida Filho, Adiel Teixeira de
    ,
    Bradaschia, Fabrício
    ,
    Palha, Rachel Perez
    DOI: 10.1061/JCEMD4.COENG-17897
    Publisher: American Society of Civil Engineers
    Abstract: AbstractUrban expansion, driven by economic and technological development, has intensified building construction and increased energy demand. Over the last decade, this trend has become a global challenge due to the depletion of fossil fuel reserves and ...Practical ApplicationsThis study investigated how artificial intelligence models can enhance solar energy forecasting in diverse regions. By using data collected over time, the research compared the performance of three different predictive models to ...
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      SolarisBIM.AI: Smart Sustainable Building Planning with BIM-Based Solar-Production Estimation Using Machine-Learning Radiation Forecasts

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4311197
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    • Journal of Construction Engineering and Management

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    contributor authorAlves, Josivan Leite
    contributor authorAlmeida Filho, Adiel Teixeira de
    contributor authorBradaschia, Fabrício
    contributor authorPalha, Rachel Perez
    date accessioned2026-08-20T10:44:23Z
    date available2026-08-20T10:44:23Z
    date copyright2026/04/14
    date issued2026
    identifier otherJCEMD4.COENG-17897.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311197
    description abstractAbstractUrban expansion, driven by economic and technological development, has intensified building construction and increased energy demand. Over the last decade, this trend has become a global challenge due to the depletion of fossil fuel reserves and ...Practical ApplicationsThis study investigated how artificial intelligence models can enhance solar energy forecasting in diverse regions. By using data collected over time, the research compared the performance of three different predictive models to ...
    publisherAmerican Society of Civil Engineers
    titleSolarisBIM.AI: Smart Sustainable Building Planning with BIM-Based Solar-Production Estimation Using Machine-Learning Radiation Forecasts
    typeJournal Article
    journal volume152
    journal issue6
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-17897
    journal fristpage04026076-1
    journal lastpage04026076-17
    page17
    treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 006
    contenttypeFulltext
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