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Influence of psychological and personal factors on predicting individual's thermal comfort in an office building using linear estimation and machine learning model

Thermal comfort in the building affects occupants’ health, productivity, and electricity use. Predicting occupants’ thermal comfort in advance will be helpful. Nowadays, a widely used model for thermal comfort prediction is the predicted mean vote (PMV). However, studies have found discrepancies bet...

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主要な著者:	Muhammad Nafiz, Muhammad Nafiz, Shaikh Salim, Sheikh Ahmad Zaki, Nadarajah, Pravin Diliban, Singh, Manoj Kumar
フォーマット:	論文
出版事項:	Taylor and Francis Ltd. 2024
主題:	T Technology (General)
オンライン･アクセス:	http://eprints.utm.my/108891/ http://dx.doi.org/10.1080/17512549.2024.2340449
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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