Occupancy-based association analysis of indoor environment quality and energy consumption in a smart office at tropical region

Tee, Boon Tuan and Lim, Soon Chong Johnson and Sunkari, Rajesh and Siew, Peng Wah and Lee, Ming Foong (2026) Occupancy-based association analysis of indoor environment quality and energy consumption in a smart office at tropical region. Pertanika Journal of Science and Technology, 34 (1). pp. 79-94. ISSN 0128-7680

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Abstract

As the building sector transitions towards sustainability, there has been a growing emphasis and research on the interplay and balance between occupants' well-being and energy consumption. This paper investigated the relationship between indoor environmental quality (IEQ) parameters, energy consumption, and occupancy in a smart office environment equipped with sensor devices in a tropical region using data mining techniques, specifically clustering and association rule mining (ARM). The aim was to detect opportunities for energy savings and IEQ improvements. Our methodology, based on an extensive collection of sensor-based data, relates energy consumption and IEQ parameters to human occupancy and translating these associations into rules. Key findings from the mined association rules included identifying benchmark patterns based on occupancy and detecting anomalies. Anomalous rules highlighted potential inefficiencies, such as high lighting or medium power consumption during periods of very low or no human presence, pointing towards opportunities for energy savings. Rules also revealed situations with high CO2 concentration and warm temperatures associated with medium or high occupancy, suggesting opportunities for IEQ improvement through ventilation optimisation. This study demonstrates the capability of the ARM algorithm to uncover nuanced relationships among occupancy, power consumption, and indoor environmental conditions and provides useful indications towards potential energy savings and improvements in IEQ. It highlights the potential of sensor-collected, data-driven strategies for building operational efficiency and sustainability.

Item Type:	Article
Uncontrolled Keywords:	Data mining, Energy consumption, Energy savings, Indoor environment quality, KNX, Occupancy, Sensor, smart office
Divisions:	Faculty Of Mechanical Technology And Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	18 May 2026 02:23
Last Modified:	18 May 2026 02:23
URI:	http://eprints.utem.edu.my/id/eprint/29747
Statistic Details:	View Download Statistic

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