Data sources and approaches for building occupancy profiles at the urban scale–A review
Buildings' occupant profiles at the urban scale play an important role in various applications
like Urban Building Energy Modeling (UBEM) and assessing energy consumption patterns …
like Urban Building Energy Modeling (UBEM) and assessing energy consumption patterns …
Plug-Mate: An IoT-based occupancy-driven plug load management system in smart buildings
Plug load management systems are touted as promising solutions to reduce the rising
energy consumption of plug loads in commercial buildings through different load monitoring …
energy consumption of plug loads in commercial buildings through different load monitoring …
Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy
The proliferation of sensing technologies has allowed the collection of occupancy-related
data to support various building applications, including adaptive HVAC and lighting controls …
data to support various building applications, including adaptive HVAC and lighting controls …
Near-real-time plug load identification using low-frequency power data in office spaces: Experiments and applications
Plug loads account for up to one-third of the overall energy use in commercial buildings.
There is thus a growing research interest in utilising load monitoring systems to track plug …
There is thus a growing research interest in utilising load monitoring systems to track plug …
A scalable Bluetooth Low Energy approach to identify occupancy patterns and profiles in office spaces
Building occupants are often assumed to follow deterministic schedules in building
performance simulation programs. Therefore, to accurately capture the dynamic nature of …
performance simulation programs. Therefore, to accurately capture the dynamic nature of …
An end-to-end point of interest (POI) conflation framework
Point of interest (POI) data serves as a valuable source of semantic information for places of
interest and has many geospatial applications in real estate, transportation, and urban …
interest and has many geospatial applications in real estate, transportation, and urban …
User perceptions on the adoption of smart energy management systems in the workplace: Design and policy implications
Smart energy management systems equipped with advanced sensing and Internet of Things
technologies allow users to monitor and manage their energy consumption through different …
technologies allow users to monitor and manage their energy consumption through different …
Predicting commercial vehicle parking duration using generative adversarial multiple imputation networks
As the world rapidly urbanizes in pace with economic growth, the rising demand for products
and services in cities is putting a strain on the existing road infrastructure, leading to traffic …
and services in cities is putting a strain on the existing road infrastructure, leading to traffic …
ROBOD, room-level occupancy and building operation dataset
The availability of the building's operation data and occupancy information has been crucial
to support the evaluation of existing models and development of new data-driven …
to support the evaluation of existing models and development of new data-driven …
Markerless radio frequency indoor monitoring for telemedicine: Gait analysis, indoor positioning, fall detection, tremor analysis, vital signs and sleep monitoring
Quantitative indoor monitoring, in a low-invasive and accurate way, is still an unmet need in
clinical practice. Indoor environments are more challenging than outdoor environments, and …
clinical practice. Indoor environments are more challenging than outdoor environments, and …