DocumentCode :
2682000
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 :
0
fDate :
0-0 0
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; finite action set; fuzzy set method; heuristic rules; 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 Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
Type :
conf
DOI :
10.1109/PES.2006.1709462
Filename :
1709462
Link To Document :
بازگشت