논문 국내 국내전문학술지(KCI급) 기상환경데이터와 머신러닝을 활용한 미세먼지농도 예측 모델
- 학술지 구분 국내전문학술지(KCI급)
- 게재년월 2019-03
- 저자명 임준묵단독
- 학술지명 한국IT서비스학회지
- 발행처명 한국IT서비스학회
- 발행국가 국내
- 논문언어 한국어
- 전체저자수 1
홈페이지논문 초록 (Abstract)
Recently, as the amount of fine dust has risen rapidly, our interest is increasing day by day. It is virtually impossible to remove fine dust. However, it is best to predict the concentration of fine dust and minimize exposure to it. In this study, we developed a mathematical model that can predict the concentration of fine dust using various information related to the weather and air quality, which is provided in real time in Air Korea (http://www.airkorea.or.kr/) and Weather Data Open Portal (https://data.kma.go.kr/). In the mathematical model, various domestic seasonal variables and atmospheric state variables are extracted by multiple regression analysis. The parameters that have significant influence on the fine dust concentration are extracted, and using ANN (Artificial Neural Network) and SVM (Support Vector Machine), which are machine learning techniques, we proposed a prediction model. The proposed model can verify its effectiveness by using past dust and weather big data.