Occupant Behavior and Schedule Prediction Based on Office Appliance Energy Consumption Data Mining
نویسنده
چکیده
Plug load and Heating Ventilation and Air Conditioning (HVAC) systems are the two largest energy consumers in commercial buildings. The use of the 2 systems is closely related to occupant behavior and schedule. It is significant to learn the occupant behavior pattern and predict occupancy schedule for controlling the systems to save energy. A data mining study is performed on the office appliance energy consumption data to predict the individual occupant behavior and the occupancy schedule in an open office space.
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