[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
Building occupancy forecasting: A systematical and critical review
Indoor environment construction for occupants has high energy consumption; as such,
occupancy plays a noteworthy role in the complete life cycle phase of buildings, including …
occupancy plays a noteworthy role in the complete life cycle phase of buildings, including …
Forecasting building occupancy: A temporal-sequential analysis and machine learning integrated approach
Building occupancy is the basis for building energy simulations, operations, and
management. With the increasing need for energy conservation and the occupant-centric …
management. With the increasing need for energy conservation and the occupant-centric …
A framework to identify key occupancy indicators for optimizing building operation using WiFi connection count data
Adapting building systems' operation to occupancy variations can provide significant energy
savings, but this is typically constrained by the unavailability of occupancy information …
savings, but this is typically constrained by the unavailability of occupancy information …
Transfer learning for estimating occupancy and recognizing activities in smart buildings
Abstract Activities Recognition (AR) and Occupancy Estimation (OE) are vital to many smart
systems that work on providing good services in smart buildings. Many applications, such as …
systems that work on providing good services in smart buildings. Many applications, such as …
[HTML][HTML] Developing a Hidden Markov model for occupancy prediction in high-density higher education buildings
B Alfalah, M Shahrestani, L Shao - Journal of Building Engineering, 2023 - Elsevier
The number of occupants in a building as well as the occupancy patterns and profiles have
a significant impact on the building energy consumption associated with heating, cooling …
a significant impact on the building energy consumption associated with heating, cooling …
MARTINI: Smart meter driven estimation of HVAC schedules and energy savings based on Wi-Fi sensing and clustering
HVAC systems account for a significant portion of building energy use. Nighttime setback
scheduling is an Energy Conservation Measure (ECM) where cooling and heating setpoints …
scheduling is an Energy Conservation Measure (ECM) where cooling and heating setpoints …
A framework for a multi-source, data-driven building energy management toolkit
Poor building energy performance often arises from suboptimal operations such as
inappropriate control sequences or hard faults in heating, ventilation, and air-conditioning …
inappropriate control sequences or hard faults in heating, ventilation, and air-conditioning …
CROOD: Estimating crude building occupancy from mobile device connections without ground-truth calibration
The occupancy information in buildings is fundamental for smart buildings (eg, occupant-
centric controls). Opportunistic occupancy detection (OOD) uses connection data of mobile …
centric controls). Opportunistic occupancy detection (OOD) uses connection data of mobile …
Novel occupancy detection method based on convolutional neural network model using PIR sensor and smart meter data
Y Wu, S Chen, Y Jin, H Xu, X Zhou, X Wang… - Advanced Engineering …, 2024 - Elsevier
Occupancy information, especially the number of occupants, can effectively guide the
operation of building systems. Capturing real-time and accurate occupancy information is …
operation of building systems. Capturing real-time and accurate occupancy information is …