인공지능 기반 헬스케어 건물의 에너지 효율 예측 모델

Abstract

Because of global warming, interest in building energy reduction measures and eco-friendly energy use is increasing. Currently, interest in artificial intelligence is increasing as a way to efficiently save energy. The purpose of this paper was to study the building energy efficiency prediction model, by comparing the prediction accuracy of the artificial intelligence model, and using the optimized model. An optimized model was presented by comparing the predicted energy use with the actual energy use of the building, by analyzing the daily energy consumption value and the energy consumption effect, according to the facility field components using the target building. First, the correlation analysis between the data variables confirmed the highest correlation with energy consumption, which shows that the energy efficiency prediction model using the environmental variables of the data could be very limited because the building