Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments

Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments

Interactive learning plays a key role in extending the occupant behavior implementation toward smart buildings. Efficient feedbacks can be obtained from the end user by involving occupants and increasing their awareness about energy systems. Working in highly energy-efficient buildings can be a grea...

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Bibliographic Details
Main Authors: Manar Amayri, Stephane Ploix, Nizar Bouguila, Frederic Wurtz
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Activities recognition
building performance
data mining
human behavior
machine learning
office buildings
Online Access:https://ieeexplore.ieee.org/document/8698235/

Internet

https://ieeexplore.ieee.org/document/8698235/

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