| Title |
Electricity Energy Consumption and Variability Analysis at the Household and Building Levels in Seoul’s Multi-Family Residential Buildings during Extreme Heat Events |
| Authors |
이민수(Lee, Min-soo) ; 윤성환(Yoon, Seonghwan) ; 윤나리(Yoon, Nari) |
| DOI |
https://doi.org/10.5659/JAIK.2025.41.9.293 |
| Keywords |
Residential Electricity Consumption; Smart Metering Data; Heat Events; Daily Load Shapes; Load Variability |
| Abstract |
This study analyzes hourly smart meter data from over 10,000 apartment households in Seoul in 2018 to examine how electricity consumption in multi-family residential buildings responds to various heat events. We defined three types of heat ?tropical nights, heat advisories, and heat warnings?as well as a contrasting baseline consumption period of non-heat days. Using k-means clustering on normalized daily load profiles from the baseline period, we identified eight representative consumption patterns that reflect typical household routines. Unlike the baseline period, which exhibited peaks around 8 AM and/or 8 PM, consumption during the heat evnets consistently peaked around 8 PM. Additionally, across all patterns, the relative increase compared to the baseline was highest between 12 PM and 4 PM. Furthermore, when aggregating individual household data to the building level, we observed that the 155 normalized building-level load profiles converged to a single pattern. These findings underscore the need to tailor energy efficiency and demand-response strategies to specific operational scales and contribute to the development of more effective cooling schedules and robust energy-efficiency measures in the face of intensifying heat events. |