Assessment and prediction of pedestrian thermal comfort through machine learning modelling in tropical urban climate of Nagpur City
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00704-024-04967-x.pdf
Reference111 articles.
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2. Ali-Toudert F, Mayer H (2007) Effects of asymmetry, galleries, overhanging façades and vegetation on thermal comfort in urban street canyons. Sol Energy 81(6):742–754. https://doi.org/10.1016/j.solener.2006.10.007
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4. Aparicio-Ruiz P, Barbadilla-Martín E, Guadix J, Nevado J (2023) Analysis of Variables Affecting Indoor Thermal Comfort in Mediterranean Climates Using Machine Learning. Buildings 13(9):2215. https://doi.org/10.3390/BUILDINGS13092215
5. ASHRAE Standard 55 (2021) ANSI/ASHRAE Addendum a to ANSI/ASHRAE Standard 55–2020. www.ashrae.org. Accessed 13 Mar 2024
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