머신 러닝 기법을 활용한 건물 에너지 사용량 예측에 관한 연구
A Study on the Prediction of Building Energy Consumption using Deep Learning Technique
3
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
In this study, the energy use of buildings was compared and analyzed by using weather data predicted with machine running techniques. Python was used as a predictive program to predict weather data and TRNSYS was used to simulate the energy usage of buildings. For weather forecasting, weather data from 1 August to 7 August were studied to forecast ambient air temperature and solar radiation. The lowest error came in seven days, with the outside air temperature standing at 1.8 percent and the solar radiation at 2.4 percent. The energy use of the building was simulated by using weather data predicted through the 7 days learning data with the lowest error. As a result , the error rate of cooling energy use was 1.92%, the sum of cooling energy and lighting energy use was 1.79%, and the building control by using predicted weather data didn’t show a big difference with just control.
Abstract
In this study, the energy use of buildings was compared and analyzed by using weather data predicted with machine running techniques. Python was used as a predictive program to predict weather data and TRNSYS was used to simulate the energy usage of buildings. For weather forecasting, weather data from 1 August to 7 August were studied to forecast ambient air temperature and solar radiation. The lowest error came in seven days, with the outside air temperature standing at 1.8 percent and the solar radiation at 2.4 percent. The energy use of the building was simulated by using weather data predicted through the 7 days learning data with the lowest error. As a result , the error rate of cooling energy use was 1.92%, the sum of cooling energy and lighting energy use was 1.79%, and the building control by using predicted weather data didn’t show a big difference with just control.
참고문헌 (3)
- 고광은, "딥러닝 모델을 이용한 실시간 객체 검출 기반 어포던스 특징 추출 시스템", 제어.로봇.시스템학회 논문지, 23(8), pp.619~624 (2017), 제어·로봇·시스템학회[DOI]
- 이슬기, "인공신경망을 이용한 도시기온 예측모형 구축", 국토계획, 46(1), pp.129~142 (2011), 대한국토·도시계획학회
- 김지원, "다양한 딥러닝 알고리즘과 활용", 정보과학회지, 33(8), pp.25~31 (2015)