The application of association rule mining in power system restoration

Dong Liu, Yun-ping Chen, Youping Fan, Guang Shen
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引用次数: 2

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
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关联规则挖掘在电力系统恢复中的应用
本文介绍了将关联规则挖掘(ARM)方法应用于电力系统恢复(PSR)的启发式规则发现以指导快速恢复过程的尝试。为了采用ARM的流行算法,将PSR过程表示为有限动作集中的一系列动作。每个操作的相关属性映射为项,操作映射为事务。采用模糊集和聚类方法对个体动作的性能进行评价。通过实例验证了该方法的有效性
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