2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) 2019
DOI: 10.1109/imcec46724.2019.8984111
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Automatic Panorama Generating of substations with Primary and Secondary Equipment

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“…This paper uses a sample set consisting of 10 3 -10 4 distribution grid financial system data points collected for the purpose of identifying and cleaning anomalous financial data. The financial data points used are sourced from the transaction data and financial books of five departments in the distribution network financial system of a certain power supply company of the State Grid Corporation of China from January to March 2017 (Shouyu et al, 2019). To further validate the efficiency of the proposed algorithm in this paper, a comparative analysis is conducted with two existing algorithms for identifying and cleaning anomalous data: the quartile algorithm and the traditional LOF algorithm.…”
Section: Analysis Of Anomalous Data Identification and Cleaning Perfo...mentioning
confidence: 99%
“…This paper uses a sample set consisting of 10 3 -10 4 distribution grid financial system data points collected for the purpose of identifying and cleaning anomalous financial data. The financial data points used are sourced from the transaction data and financial books of five departments in the distribution network financial system of a certain power supply company of the State Grid Corporation of China from January to March 2017 (Shouyu et al, 2019). To further validate the efficiency of the proposed algorithm in this paper, a comparative analysis is conducted with two existing algorithms for identifying and cleaning anomalous data: the quartile algorithm and the traditional LOF algorithm.…”
Section: Analysis Of Anomalous Data Identification and Cleaning Perfo...mentioning
confidence: 99%