Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Estimating Bathroom Water-uses based on Time Series Regression

시계열 회귀모형에 기초한 욕실 내 용수 사용량 추정

  • Myoung, Sungmin (Dept. of Medical Information and Administration, Jungwon University) ;
  • Kim, Donggeon (Dept. of Statistics & Information, Dongduk Women's University) ;
  • Jo, Jinnam (Dept. of Statistics & Information, Dongduk Women's University)
  • 명성민 (중원대학교 의료정보행정학과) ;
  • 김동건 (동덕여자대학교 정보통계학과) ;
  • 조진남 (동덕여자대학교 정보통계학과)
  • Received : 2014.07.04
  • Accepted : 2014.08.20
  • Published : 2014.08.30
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Abstract

Analysis of influential factors on water consumption in households will help predicting the water demand of end-use in household and give an explanation to cause on the change of trend. In this research, the data are gathered by radio telemetry system which is combined electronic flow-meter and wireless communication system in 140 household in Korea. Using this data, we estimate for each residential type to determine liter per capita day. we used real data to predict bathtub and washbowl water-uses and compared the ordinary least square regression model and autoregressive regression error model. The results of this study can be applied in the planning stages of water and waste water facilities.

신뢰성 있는 물 수요예측을 실시하기 위해서는 실측자료를 이용하여 다양한 수요구조의 변화를 합리적으로 반영할 수 있는 수요예측모형을 개발 활용하는 것이 필요하다. 본 연구에서는 가정에서사용하고 있는 욕실 내 용수사용량 특성을 파악하기 위하여 전국 140여개 가구를 대상으로 전자식 유량계와 무선송신시스템이 결합된 원격측정시스템을 이용하여 실측자료를 취득하고, 이를 이용하여 각 사용량의 기준이 되는 원단위를 도출하였다. 향후 사용량 예측을 위하여 욕실 내 용수를 욕조용수와 세면용수로 구분하여 시계열 모형을 적용함으로써 물 수요관리 및 정책수립을 위한 정보로서 활용할 수 있도록 하였다.

Keywords

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