A systematic review and comprehensive analysis of building occupancy prediction
T Li, X Liu, G Li, X Wang, J Ma, C Xu, Q Mao - Renewable and Sustainable …, 2024 - Elsevier
Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …
personnel occupancy is critical for reducing energy consumption in buildings. This study …
A review of current research on occupant-centric control for improving comfort and energy efficiency
Y Yuan, C Song, L Gao, K Zeng, Y Chen - Building Simulation, 2024 - Springer
Occupant-centric control (OCC) is intelligent control of building systems based on the real
comfort needs of occupants. This paper provides a comprehensive review of how real-world …
comfort needs of occupants. This paper provides a comprehensive review of how real-world …
Unsupervised domain adaptation with and without access to source data for estimating occupancy and recognizing activities in smart buildings
Energy-efficient buildings have gained increasing interest in the last decades as they
provide optimal energy management. With the emergence of smart homes, many smart tools …
provide optimal energy management. With the emergence of smart homes, many smart tools …
High-accuracy occupancy counting at crowded entrances for smart buildings
K Sun, X Wang, T ** Open Smart Campus Systems Based on IoT
Urbanization has led to the need for the intelligent management of various urban
challenges, from traffic to energy. In this context, smart campuses and buildings emerge as …
challenges, from traffic to energy. In this context, smart campuses and buildings emerge as …
Optimizing presence sensing lighting for energy efficiency and user behavioral needs in small Swedish homes
ABSTRACT A hybrid workstyle is becoming more common post-COVID-19, and longer
occupancy hours at home are increasing household electricity consumption. Small homes …
occupancy hours at home are increasing household electricity consumption. Small homes …
[HTML][HTML] Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters
Non-intrusive detection of household occupancy status using smart meter data presents
challenges due to the intricate relationship between user behavior, energy usage, and …
challenges due to the intricate relationship between user behavior, energy usage, and …
Analysis of the building occupancy estimation and prediction process: A systematic review
The prediction of the occupancy in buildings is essential to design efficient energy control
strategies that optimize consumption and reduce losses while guaranteeing the comfort of …
strategies that optimize consumption and reduce losses while guaranteeing the comfort of …
[HTML][HTML] DMFF: Deep multimodel feature fusion for building occupancy detection
K Sun - Building and Environment, 2024 - Elsevier
Abstract The 2022 Global Status Report for Buildings and Construction (Buildings-GSR)
indicates that construction activities have returned to pre-pandemic levels in most major …
indicates that construction activities have returned to pre-pandemic levels in most major …
An Occupant-centric Control Case Study Based on Internet of Things and Data Mining for an Office Space
Y Yuan, C Song, K Zeng, L Gao, Y Huang… - Journal of Building …, 2025 - Elsevier
Abstract Although research on Occupant Behavior (OB) and Occupant-Centric Control
(OCC) is extensive, the actual application of OCC remains limited. This study addresses this …
(OCC) is extensive, the actual application of OCC remains limited. This study addresses this …