| Title |
Error Correction and Comparison of Characteristics for Five Types of Metering Data in Apartment Houses |
| Authors |
김동식(Dong Sik Kim) ; 강송희(Songhee Kang) ; 홍은영(Eunyeong Hong) ; 정영모(Young Mo Chung) ; 정범진(Beom Jin Chung) |
| DOI |
https://doi.org/10.5573/ieie.2022.59.2.135 |
| Keywords |
Advanced metering infrastructure (AMI); electricity metering; 5 types of metering data; apartment house |
| Abstract |
In apartment housing environments, five metering data such as the electric energy, water, hot water, gas, and heating data, are periodically collected through a data concentrator unit. These metering data can be used to improve each metering and prediction accuracy. The collected data, however, are usually corrupted by various errors during the data collection process. In this paper, by using the five types of metering data collected from the field of three apartment complexes, we analyzed the errors that occurred during the collection process by types and proposed methods for correcting such errors. In addition, using the corrected data, 24-hour pattern and correlation for each of the five types of data were analyzed through clustering methods. From the results, it is observed that the electricity energy usage has a similar 24-hour pattern with those of water, while the heating usage pattern is quite different from those of the others. |