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Privacy-Preserving Sensing and Two-Stage Building Occupancy Prediction using Random Forest Learning

preprint

posted on 15.04.2020, 15:25 authored by Grigore StamatescuGrigore Stamatescu, Claudia Chitu

Manuscript draft of a privacy-preserving system for detecting and predicting occupancy in a building, deployed in a real application

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Email Address of Submitting Author

gstamatescu@ieee.org

ORCID of Submitting Author

0000-0002-9647-6817

Submitting Author's Institution

University Politehnica of Bucharest

Submitting Author's Country

Romania

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in Journal of Sensors

Privacy-Preserving Sensing and Two-Stage Building Occupancy Prediction Using Random Forest Learning

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Keywords

occupancy prediction smart buildings random forests computational intelligence data acquisition

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