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Applying machine learning for building natural ventilation control
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Zhang, Wei, Wentao Wu, Bin Yan, and Ali Malkawi. "Applying machine learning for building natural ventilation control." In Proceedings of 6th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air, 2020.Abstract
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.Terms of Use
This article is made available under the terms and conditions applicable to Individual Open Access License Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#IOALCitable link to this page
https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37373503
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