Characteristic portrait and analysis method of power grid work orders based on statistics
Authors: 
Yu Zong, Dong Wang, Xiaodong Wang, and Yifeng WangAuthors Info & Claims
Yu Zong, Dong Wang, Xiaodong Wang, and Yifeng WangAuthors Info & ClaimsJune 2022
Pages 717 - 723
Abstract
The power grid work order data includes information such as time, region, temperature, and multi-level fault classification, which are generally divided into two main types: emergency repair work orders and non-emergency repair work orders. However, there is a special situation in which two types of work orders are converted. This paper analyzes the feature distribution of the upgraded work order, compares the features between and within the upgraded work order, gives the feature portrait of the upgraded work order, and proposes two methods to predict or compare the upgrade risk of the work order. By providing early warning and prediction for work order upgrades, the response speed and processing quality of power failures are improved.
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Published In
June 2022
905 pages
ISBN:9781450397179
DOI:10.1145/3548608
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Association for Computing Machinery
New York, NY, United States
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Published: 14 October 2022
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ICCIR 2022
ICCIR 2022: 2022 2nd International Conference on Control and Intelligent Robot
June 24 - 26, 2022
Nanjing, China
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Overall Acceptance Rate 131 of 239 submissions, 55%
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