Developing Predictive Modelling of CO₂ Emissions of Construction Equipment Using Artificial Neural Network and Non-linear Regression

인공신경망 및 비선형 회귀분석을 이용한 건설장비의 CO₂ 배출량 예측 모델 개발

In order to measure the amount of carbon dioxide emitted from the construction sites, many literature which have been conducted have proposed methodologies for calculating coefficients based on actual data collections for estimating the emission formula. The existing data collected under controlled conditions not on site measurement were too limited to apply in actual sites. The purpose of this study is to conduct analysis based on the data measured in fields and to present predictive models using artificial neural network and nonlinear regression analysis for appropriate predictions and practical applications.