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Estimation of Carbon Emissions Price Using Big Data Analysis Method
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빅데이터 분석기법을 활용한 탄소배출권 가격 예측

논문 기본 정보

Type
Proceeding
Author
Im, Giseong (인하대학교 건축학부, 건축공학과) Park, Sangwon (인하대학교 건축학부, 건축공학과) Jang, Jiyoung (인하대학교 건축학부, 건축공학과) Lee, Minwoo (인하대학교 건축학부, 건축공학과) Han, Seungwoo (인하대학교 건축학부)
Journal
The Korea Institute of Building Construction 한국건축시공학회 학술발표대회 논문집 한국건축시공학회 2019년도 가을 학술논문 발표대회
Published
2019.1
Pages
50 - 51 (2page)

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Estimation of Carbon Emissions Price Using Big Data Analysis Method
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Globally, South Korea is a country that has a lot of $CO_2$ emissions and has steadily increased its total greenhouse gas emissions since the 1990s. With the recent implementation of the carbon emission trading system in Korea, the importance of calculating $CO_2$ emissions of construction equipment is increasing, hence the need for accurate calculation of environmental penalties through allocating carbon emission rights. This study presents a methodology to predict the price of carbon credits using big data analysis method. This methodology is based on correlating and regression analysis of trends in carbon emission prices and search volumes. This study aims to support faster and more accurate budget calculations in the planning of the construction process based on the predicted price of carbon emission rights.

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