Bim and data-driven predictive analysis of optimum thermal comfort for indoor environment
10.3390/s21134401
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sg-nus-scholar.10635-2324432024-03-26T04:01:54Z Bim and data-driven predictive analysis of optimum thermal comfort for indoor environment Gan, Vincent J. L. Luo, Han Tan, Yi Deng, Min Kwok, H. L. BUILDING Building information modelling Energy conservation Machine learning Natural ventilation Optimization Thermal comfort 10.3390/s21134401 Sensors 21 13 4401 2022-10-12T08:04:58Z 2022-10-12T08:04:58Z 2021-06-27 Article Gan, Vincent J. L., Luo, Han, Tan, Yi, Deng, Min, Kwok, H. L. (2021-06-27). Bim and data-driven predictive analysis of optimum thermal comfort for indoor environment. Sensors 21 (13) : 4401. ScholarBank@NUS Repository. https://doi.org/10.3390/s21134401 1424-8220 https://scholarbank.nus.edu.sg/handle/10635/232443 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ MDPI AG Scopus OA2021 |
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Building information modelling Energy conservation Machine learning Natural ventilation Optimization Thermal comfort |
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Building information modelling Energy conservation Machine learning Natural ventilation Optimization Thermal comfort Gan, Vincent J. L. Luo, Han Tan, Yi Deng, Min Kwok, H. L. Bim and data-driven predictive analysis of optimum thermal comfort for indoor environment |
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10.3390/s21134401 |
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BUILDING |
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BUILDING Gan, Vincent J. L. Luo, Han Tan, Yi Deng, Min Kwok, H. L. |
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Gan, Vincent J. L. Luo, Han Tan, Yi Deng, Min Kwok, H. L. |
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Gan, Vincent J. L. |
title |
Bim and data-driven predictive analysis of optimum thermal comfort for indoor environment |
title_short |
Bim and data-driven predictive analysis of optimum thermal comfort for indoor environment |
title_full |
Bim and data-driven predictive analysis of optimum thermal comfort for indoor environment |
title_fullStr |
Bim and data-driven predictive analysis of optimum thermal comfort for indoor environment |
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Bim and data-driven predictive analysis of optimum thermal comfort for indoor environment |
title_sort |
bim and data-driven predictive analysis of optimum thermal comfort for indoor environment |
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MDPI AG |
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2022 |
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https://scholarbank.nus.edu.sg/handle/10635/232443 |
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