Leveraging machine learning and big data for smart buildings: A comprehensive survey
B Qolomany, A Al-Fuqaha, A Gupta… - IEEE …, 2019 - ieeexplore.ieee.org
Future buildings will offer new convenience, comfort, and efficiency possibilities to their
residents. Changes will occur to the way people live as technology involves people's lives …
residents. Changes will occur to the way people live as technology involves people's lives …
Human comfort in indoor environment: a review on assessment criteria, data collection and data analysis methods
Y Song, F Mao, Q Liu - IEEE Access, 2019 - ieeexplore.ieee.org
Occupants' comfort perception about the indoor environment is closely linked to their health,
wellbeing and productivity. Improvement of comfort level in office buildings has significant …
wellbeing and productivity. Improvement of comfort level in office buildings has significant …
[HTML][HTML] Building information modeling (BIM), System dynamics (SD), and Agent-based modeling (ABM): Towards an integrated approach
Several frameworks are introduced to address occupancy-based building performance.
However, the performance predictions obtained using these frameworks deviate from real …
However, the performance predictions obtained using these frameworks deviate from real …
Relation inference among sensor time series in smart buildings with metric learning
Abstract Smart Building Technologies hold promise for better livability for residents and
lower energy footprints. Yet, the rollout of these technologies, from demand response …
lower energy footprints. Yet, the rollout of these technologies, from demand response …
Doorpler: A radar-based system for real-time, low power zone occupancy sensing
A Kalyanaraman, E Soltanaghaei… - 2019 IEEE Real-Time …, 2019 - ieeexplore.ieee.org
Many homes today are logically or physically" zoned" based on properties such as HVACs,
activities, or physical layouts. Accurately sensing the occupancy of these zones can yield …
activities, or physical layouts. Accurately sensing the occupancy of these zones can yield …
Learning from correlated events for equipment relation inference in buildings
Modern buildings produce thousands of data streams, and the ability to automatically infer
the physical context of such data is the key to enabling building analytics at scale. As …
the physical context of such data is the key to enabling building analytics at scale. As …
Matchstick: A room-to-room thermal model for predicting indoor temperature from wireless sensor data
In this paper we present a room-to-room thermal model used to accurately predict
temperatures in residential buildings. We evaluate the accuracy of this model with ground …
temperatures in residential buildings. We evaluate the accuracy of this model with ground …
An End-to-End Solution for Spatial Inference in Smart Buildings
Smart building technology is an aspiring application of the Internet of Things (IoT) that
utilizes various IoT sensors to serve the purposes of facility management, building …
utilizes various IoT sensors to serve the purposes of facility management, building …
Inverting HVAC for energy efficient thermal comfort in populous emerging countries
Emerging countries predominantly rely on room-level air conditioning units (window ACs,
space heaters, ceiling fans) for thermal comfort. These distributed units have manual …
space heaters, ceiling fans) for thermal comfort. These distributed units have manual …
Inverted HVAC: Greenifying older buildings, one room at a time
Emerging countries predominantly rely on room-level air conditioning units (window ACs,
space heaters, ceiling fans) for thermal comfort. These distributed units have manual …
space heaters, ceiling fans) for thermal comfort. These distributed units have manual …