DocumentCode
1864389
Title
The application of association rule mining in power system restoration
Author
Liu, Dong ; Chen, Yunping ; Fan, Youping ; Shen, Guang
Author_Institution
Sch. of Electr. Eng., Wuhan Univ.
fYear
2005
fDate
Nov. 29 2005-Dec. 2 2005
Firstpage
1041
Abstract
The paper introduced the attempt to apply the association rule mining (ARM) method to discovering heuristic rules for power system restoration (PSR) to guide a fast restoration process. In order to employ the popular algorithms of ARM, the process of PSR is represented as a series of actions out of a finite action set. The interesting attributes of each action are mapped as items and the actions are mapped as transactions. Fuzzy set and clustering method are adopted to evaluate the performance of individual action. A sample test is given to demonstrate the validity of the proposed method
Keywords
data mining; fuzzy set theory; power engineering computing; power system restoration; association rule mining method; clustering method; fuzzy set method; performance evaluation; power system restoration; Association rules; Clustering algorithms; Clustering methods; Data mining; Fuzzy sets; Itemsets; Power system restoration; Power system simulation; Testing; Transaction databases; Association Rule Mining; Clustering Algorithm; Data Mining; Fuzzy Set; Power System Restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Conference, 2005. IPEC 2005. The 7th International
Conference_Location
Singapore
Print_ISBN
981-05-5702-7
Type
conf
DOI
10.1109/IPEC.2005.207061
Filename
1627350
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