All Outputs (2)

A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment (2022)
Journal Article
Zhang, W., Wu, Y., & Calautit, J. K. (2022). A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment. Renewable and Sustainable Energy Reviews, 167, Article 112704. https://doi.org/10.1016/j.rser.2022.112704

The occupants' presence, activities, and behaviour can significantly impact the building's performance and energy efficiency. Currently, heating, ventilation, and air-conditioning (HVAC) systems are often run based on assumed occupancy levels and fix... Read More about A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment.

Numerical evaluation of an optically switchable photovoltaic glazing system for passive daylighting control and energy-efficient building design (2022)
Journal Article
Liu, X., & Wu, Y. (2022). Numerical evaluation of an optically switchable photovoltaic glazing system for passive daylighting control and energy-efficient building design. Building and Environment, 219, Article 109170. https://doi.org/10.1016/j.buildenv.2022.109170

Adaptive control of solar heat gain and visible light transmission through windows is perceived to be a potential measure for enhancing energy conservation and visual comfort in buildings. In this study, a novel versatile window, named Building Integ... Read More about Numerical evaluation of an optically switchable photovoltaic glazing system for passive daylighting control and energy-efficient building design.