Occupancy estimation with environmental sensing via non-iterative LRF feature learning in time and frequency domains

• Published in: Energy and buildings Vol. 141; pp. 125 - 133
• Main Authors: Zhu, Qingchang, Chen, Zhenghua, Masood, Mustafa K., Soh, Yeng Chai
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 15.04.2017; Elsevier BV
• Subjects: Air conditioners; Air conditioning; Air temperature; Carbon dioxide; Energy efficiency; Environmental sensing; Feature extraction; Feature learning; Frequency domain analysis; Humidity; Learning; Mechanical ventilation; Occupancy prediction; Relative humidity; Studies; Temperature effects; Time domain analysis; Ventilation; Occupancy prediction; Feature learning; Environmental sensing

Occupancy information is an important parameter to energy-efficient Air Conditioning and Mechanical Ventilation (ACMV) systems for the design of suitable control strategies. To predict the occupancy in an air-conditioned space, the harnessing of environmental parameters such as carbon dioxide, relat...