Research on Accurate Audit of Defaulting Power Consumption Based on K-Means Multidimensional Overrun Judgment-Reference-Cited by-同舟云学术

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Research on Accurate Audit of Defaulting Power Consumption Based on K-Means Multidimensional Overrun Judgment

Published:2023-10-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 14th International Conference on Software Engineering and Service Science (ICSESS)
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Author:

Xiao Yu¹,Yang Xingwang¹,Deng Hanjun¹,Yang Shuai¹,Ye Zhi¹,Guo Qinghong¹,Xiao Kejiang²

Affiliation:

1. Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology,State Grid Hunan Power Supply Service Center (Metrology Center),Changsha,Hunan Province,China

2. Central China Normal University,Faculty of Artificial Intelligence in Education,Wuhan,Hubei Province,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10292994/10292944/10293037.pdf?arnumber=10293037

Reference10 articles.

1. Graph-Based Time Series Edge Anomaly Detection in Smart Grid

2. Online electricity theft detection framework for large-scale smart grid data

3. Intelligent Anomaly Detection for Large-scale Smart Grids

4. A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks

5. Anomaly Detection in Smart Meter Data for Preventing Potential Smart Grid Imbalance

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