Earticle

초록

영어

This study aims to propose an appropriate statistical model for predicting the energy consumption of apartment buildings, focusing on the summer season, which has recently been experiencing increasingly poor thermal comfort and prolonged duration. To achieve this, we utilized hourly energy consumption data measured by BEMS(Building Energy Management Systems) from June to October 2023 in an apartment complex in Uijeongbu to develop a time series model. In this study, ARIMA(AutoRegressive Integrated Moving Average Model), SARIMA(Seasonal ARIMA), and SARIMAX(Seasonal ARIMA with eXogenous factors) models were examined, and the SARIMA(1,1,7) × (1,1,2)24 model was found to be the most effective. This model displayed a seasonal cycle somewhat different from previous studies and also showed a slightly different relationship between temperature and energy consumption in apartment buildings. These findings suggest the need for further research using a large dataset based on this study. The results of this research are expected to contribute as a foundational study in researching the balance between real-time energy consumption and renewable energy production during the summer season.

목차

Abstract
1. 서론
1.1 연구배경 및 목적
1.2 연구범위 및 방법
2. 이론고찰
2.1 이론고찰
2.2 선행연구 검토
2.3 연구문제 도출
3. 연구 프레임워크 설정
3.1 분석 대상지역 및 시간 설정
3.2 시계열 분석 적용 모델 제시
4. 분석결과
4.1 모델의 사후 검증
4.2 분석 결과
4.3 모델의 예측력 평가
5. 결론
REFERENCES

키워드

저자

• 최성환 [ Choi, Sung-Hwan | 케빈랩(주) 전무이사 ]
• 김경학 [ Kim, Kyung-Hak | 케빈랩(주) 대표이사 ]
• 이건원 [ Lee, Gunwon | 고려대학교 건축학과 부교수, 공학박사 ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  대한건축학회연합논문집 [Journal of the Regional Association of Architectural Institute of Korea]

• 간기

  격월간

• pISSN

  1229-5752

• 수록기간

  1999~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 540 DDC 690