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.