The Correlation Analysis of the Power Energy Consumption Based on the Climate

• 영문명: 날씨에 따른 전력 에너지 소모의 상관관계 분석
• 발행기관: 한국산업경영시스템학회
• 저자명: Sunhee Kim(김선희) Jinho Kim(김진호) Chang-Yong Lee(이창용)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2018년 춘계학술대회 논문집, 26~26쪽, 전체 1쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2018.05.12

영문 초록

In this study, we utilize the cross and partial correlation analyses in order to investigate the dependence of power energy consumption on the temperature. To this end, we use a time series data that consists of three attributes : an hourly measured electric power consumption, temperature, and humidity. We, in particular, divide the yearly data into monthly base, and estimate the cross correlation coefficients between all possible pairs of attributes for each monthly based data. We found that temperature and power consumption are negatively correlated in the winter; positively correlated in the summer. A similar trend was found between humid and power consumption. This implies that when temperature or humidity is relatively high or low, the power consumption increases due to the cooling and heating system at work. In contrast, the correlation between temperature and humid behaves differently from those between temperature and power consumption. These results can be used to effectively manage the power system.

키워드

cross correlation partial correlation power energy consumption cooling and heating system power management system