Development of a Machine-Learning Framework for Overall Daylight and Visual Comfort Assessment in Early Design Stages

Application of machine learning methods as an alternative for building simulation software has been progressive in recent years. This research is mainly focused on the assessment of machine learning algorithms in prediction of daylight and visual comfort metrics in the early design stages and provid...

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Autores principales: Hanieh Nourkojouri, Nastaran Seyed Shafavi, Mohammad Tahsildoost, Zahra Sadat Zomorodian
Formato: article
Lenguaje:EN
Publicado: SolarLits 2021
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Acceso en línea:https://doaj.org/article/be97f02be2704d5aa130154e4b7a94ee
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