Electric Power Sensing Data Quality Classification Using Decision-Tree via IEC60870-5-101/104-Reference-Cited by-同舟云学术

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Electric Power Sensing Data Quality Classification Using Decision-Tree via IEC60870-5-101/104

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 Panda Forum on Power and Energy (PandaFPE)
language:
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Author:

Yang Wei¹,Peng Guozheng¹,Song Rui¹,Wang Lanruo¹,Zhang Qizhe¹

Affiliation:

1. China Electric Power Research Institute,Artificial Intelligence Application Research Department,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10140170/10140192/10141030.pdf?arnumber=10141030

Reference9 articles.

1. Classification and Regression Trees. Wadsworth;breiman;Biometrics,1984

2. Detection of abnormal values in IEC 60870–5-104 messages: a comparative study;zhang;Proceedings of the 2022 International Conference on Cyber Security and Protection of Digital Services,0

3. Unbiased split selection for classification trees based on the Gini Index

4. IEC 60870–5-101 in Application and Practice;cen;Automation of Electric Power System,0

5. Application of IEC 60870–5-101 Telecontrol Protocol in Data Communication of Distribution Automation System;haiying;Power System Technology,2006

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1. Research on Power Terminal Identification and Verification Method Based on CIM and Multi-Criteria Fusion;2023 4th International Conference on Smart Grid and Energy Engineering (SGEE);2023-11-24

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