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Wu, Wentao

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Wu, Wentao

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    Applying machine learning for building natural ventilation control
    (IEEE, 2020-11) Zhang, Wei; Wu, Wentao; Yan, Bin; Malkawi, Ali
    Although natural ventilation is applicable to most buildings, architects and engineers today struggle to integrate it as an alternative to mechanical ventilation systems due to its uncertainty. This paper presents the application of regression algorithms and identification methods to single-sided natural ventilation with two opening (SS2). The result of this work provides a predictive control-oriented model which co-optimize the CO2 level and thermal comfort for natural ventilation with SS2 configuration.