교육 시설의 전력 수요 예측을 위한 클러스터링 기반 확률적 통계 모델 개발

다국어 초록 (Multilingual Abstract)

This study developed the probabilistic models of the internal electricity load for educational buildings on the basis of the structured probabilistisic model framework developed in the previous study for residential buildings. In this process, heterogeneous public data sosurces (MOLIT EAIS and KEPCO AMI) were used, and differences in internal electricity load within education buildings were invetigated with using the clustering method. The cluster analysis revealed two distinctive load profiles, which may be due to different types of educational purposes: schools and private educational institutes. Within each cluster of buildings, individual-building variations of internal electricity load, as well as temporal variations of internal electricity load were quantified by the structured probabilistic models Statistical models 1 and 3 can represent individual variations in internal electricity load for each building, and statistical models 2 and 4 can reflect temporal variations in hourly internal electricity load patterns that change daily.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 연구방법
• 3. 확률적 통계모델
• 4. 결론
• References