Research on Early Warning Algorithm of Active Distribution Network Operational Risk Based on Improved Apriori Association Rules-Reference-Cited by-同舟云学术

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Research on Early Warning Algorithm of Active Distribution Network Operational Risk Based on Improved Apriori Association Rules

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Xiu Ji¹,Dianwen Li²,Xin Tian²,Yiwei Hou¹,Xiangping Meng¹

Affiliation:

1. Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology,Changchun Institute of Technology National Local Joint Engineering,Changchun,China

2. Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology,Changchun University of Technology National Local Joint Engineering,Changchun,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9727224/9727236/09727495.pdf?arnumber=9727495

Reference15 articles.

1. Mining association rules between sets of items in large databases

2. CBC: An associative classifier with a small number of rules

3. Design of a security risk management system for power system dispatching and operation, part one [J];yunfeng;Automation of Electric Power Systems,2013

4. Fault prognosis in power transmission equipment based on meteorological data mining [J];can;New industrialization,2016

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