| Title |
Improving Data Quality in Public Institution Energy Monitoring Systems |
| Authors |
김세헌(Kim, Seheon) ; 이종원(Lee, Jong-Won) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.3.243 |
| Keywords |
Public institution energy monitoring system; Green button; Data quality; Building energy performance assessment |
| Abstract |
This study aims to enhance the data quality of Korean public institution electricity monitoring system, modeled after the Green Button
initiative. By collecting and integrating hourly electricity usage data from 511 public institutions between 2022 and 2024, the study evaluates
data completeness and attempts to calculate building energy performance grades by linking usage data with building registry information. Data
crawling was employed to overcome the absence of direct download functionalities, and address refinement techniques was adopted to handle
improper address data. Results showed that 74.3% of buildings were successfully linked to building attributes, while the remaining 25.7%
suffered from issues such as missing energy data, unregistered building records, and address mismatches. Results also showed 8.8% of the
mismatched case can be recovered by address refinement techniques pointing the importance of the quality of address data. Moreover, 6.6%
of annual records were found to have critical missing data exceeding the 5% threshold. The findings support the need for robust data
governance to realize reliable and scalable energy performance management in the public sector. |