- 작성일
- 2023.11.13
- 수정일
- 2023.11.13
- 작성자
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최훈혁
- 조회수
- 34
HWANG.H.S, LEE.J.Y, PARK.M.Y, CHOI.J.Y, KANG.J.E. (2023). Analyzing the relationship between heat wave and summer household electricity. 2023 Symposium of the International Association of Geo-informatics (IAG'i)
IAG’i
HWANG.H.S, LEE.J.Y, PARK.M.Y, CHOI.J.Y, KANG.J.E. (2023). Analyzing the relationship between heat wave and summer household electricity. 2023 Symposium of the International Association of Geo-informatics (IAG'i). (2023. 10. 28 - 2023. 10. 29.)
This study analyzed the relationship between household electricity usage in summer and sensible temperature, taking humidity into account. The heat perceived by a person in response to a change in temperature is not linear and may become more intense as the temperature increases. Therefore, we analyzed the relationship between the two variables through panel threshold regression analysis and calculated the threshold temperature at which electricity usage rapidly changes. The relationship between sensible temperature and summer household electricity usage was divided into three intervals. The value that separates the bands corresponds to the threshold value, which was calculated in this study. The results of this study confirm the effect of a sensible temperature on electricity usage, which can be used as a proxy variable for heat wave damage. Moreover, the findings suggest the need to secure appropriate response measures according to heat levels.
Keywords: Heat Wave, Sensible Temperature, Household Electricity Usage, Threshold, Panel Threshold Regression
사사 : 환경보건감시체계, 스마트시티
- 다음글
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CHOI.H.H, KANG.J.E. (2023). Risk assessment of the emerging zoonoses in South Korea. 2023 Symposium of the International Association of Geo-informatics (IAG'i)
최훈혁
2023-11-13 17:29:38.603
- 이전글
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CHOI.J.Y, PARK.M.Y, Kang.J.E. (2023). Assessment of Busan City Central Area System and Service Area Using Machine Learning and Spatial Analysis. ACSP 2023 Annual Conference
최훈혁
2023-11-13 17:24:51.443