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http://dx.doi.org/10.18770/KEPCO.2021.07.01.073

Automatic Algorithm for Cleaning Asset Data of Overhead Transmission Line  

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)
Hwang, Jae-Sang (KEPCO Research Institute, Korea Electric Power Corporation)
Publication Information
KEPCO Journal on Electric Power and Energy / v.7, no.1, 2021 , pp. 73-77 More about this Journal
Abstract
As the big data analysis technologies has been developed worldwide, the importance of asset management for electric power facilities based data analysis is increasing. It is essential to secure quality of data that will determine the performance of the RISK evaluation algorithm for asset management. To improve reliability of asset management, asset data must be preprocessed. In particular, the process of cleaning dirty data is required, and it is also urgent to develop an algorithm to reduce time and improve accuracy for data treatment. In this paper, the result of the development of an automatic cleaning algorithm specialized in overhead transmission asset data is presented. A data cleaning algorithm was developed to enable data clean by analyzing quality and overall pattern of raw data.
Keywords
Asset Data; Asset Management System; Data Cleaning; Legacy System; Missing Data Treatment; Outlier Data Treatment; Preprocessing; Overhead Transmission Lines;
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  • Reference
1 Ravi V Angadi, "Role of Big Data Analytics in Power System Application," 2020.
2 Betsy Barry, "Big Data Issues and Opportunities for Electric Utilities," 2015.
3 JIEJIE DAI, "Cleaning Method for Status Monitoring Data of Power Equipment Based on Stacked Denoising Autoencoders," 2017.
4 Salvador Garci a, "Big data preprocessing: methods and prospects," 2016.
5 Fakhitah Ridzuan, "A Review on Data Cleansing Methods for Big Data," 2019.
6 D. Chapman, "PRINCIPLES AND METHODS OF DATA CLEANING," 2005.