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http://dx.doi.org/10.18770/KEPCO.2021.07.01.079

Automatic Cleaning Algorithm of Asset Data for Transmission Cable  

Hwang, Jae-Sang (KEPCO Research Institute, Korea Electric Power Corporation)
Mun, Sung-Duk (KEPCO Research Institute, Korea Electric Power Corporation)
Kim, Tae-Joon (KEPCO Research Institute, Korea Electric Power Corporation)
Kim, Kang-Sik (KEPCO Research Institute, Korea Electric Power Corporation)
Publication Information
KEPCO Journal on Electric Power and Energy / v.7, no.1, 2021 , pp. 79-84 More about this Journal
Abstract
The fundamental element to be kept for big data analysis, artificial intelligence technologies and asset management system is a data quality, which could directly affect the entire system reliability. For this reason, the momentum of data cleaning works is recently increased and data cleaning methods have been investigating around the world. In the field of electric power, however, asset data cleaning methods have not been fully determined therefore, automatic cleaning algorithm of asset data for transmission cables has been studied in this paper. Cleaning algorithm is composed of missing data treatment and outlier data one. Rule-based and expert opinion based cleaning methods are converged and utilized for these dirty data.
Keywords
Asset Data; Asset Management System; Data Cleaning; Legacy System; Missing Data Treatment; Outlier Data Treatment; Preprocessing; Transmission Cables;
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