Abstract
The purpose of this study is to analyze the air conditioner (AC) use behavior of occupants based on monitoring data. The indoor temperature and humidity, the occupancy state, and the infrared signal of the AC remote control of 4 households were collected. Using the above data, specific user behavior (on/off, set-temperature, air volume, etc. adjustment) was determined. The collected information on the AC use was divided into three categories based on the occupancy state; entering, leaving, and staying. The probability of turning on and off on the AC according to the DI (discomfort index) while staying the room was also analyzed. The result of this study is significant for future research on predicting the energy consumption propensity of the residents and for developing on AC use model based on user behavior.
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