| Title |
Design of Survey Data Filtering System for Building Occupancy Satisfaction |
| Authors |
노태헌(Tae Heon No) ; 이민구(Min Goo Lee) ; 박용국(Yong Kuk Park) ; 정경권(Kyung Kwon Jung) |
| DOI |
https://doi.org/10.5573/ieie.2022.59.12.104 |
| Keywords |
Building; Occupancy satisfaction; Random forest; Energy saving; Mobile survey app |
| Abstract |
In general, the energy saving effect in a building has a trade-off relationship with the degree of satisfaction of the living convenience of the occupants. If the convenience of residents is improved, energy consumption increases. conversely, in order to save energy, the inconvenience of living is required. Our research team is carrying out a technology development project to achieve energy savings under the condition of maintaining the resident satisfaction in the building. For this, the development of a system that can accurately and consistently evaluate the satisfaction of residents in a building must be developed. Therefore, in this paper, in order to improve the accuracy of resident satisfaction evaluation in a building, we developed a questionnaire data filtering system that can filter resident satisfaction questionnaire data. Based on the 540-day learning data of 100 people, we verified the validity of the residential satisfaction questionnaire data filtering system. |