건물 에너지 소비량과 외기온의 단순선형회귀분석을 통한 연간 에너지 소비량 예측에 관한 연구

This paper studies the relationship between 6 different categorized building energy consumption data and outdoor air temperature to find out the best data set predicting the annual building energy consumption. In 2013 ASHRAE Fundamentals, Energy Estimating and Modeling Methods, monthly or daily data were recommended to use in a simple linear regression model analysis, however in this paper, not only monthly and daily data, but also daily data(excluding weekends), hourly data, hourly data(excluding weekends) and hourly data(excluding weekends and non-air-conditioning hours), total 6 different categorized data sets were used for the simple linear regression. With the relationship of each data set, 6 different annual building energy consumptions were predicted and regardless of the coefficient of correlation (R²), hourly data was the most appropriate data set to predict the annual building energy consumption.