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Keyword: C4.5 decision trees
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8 Pages, 1,047 KB Download PDF

Computational Intelligence Methods for Identifying Voltage Sag in Smart Grid

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 412–419, 2017; DOI: 10.25046/aj020353
Abstract:

In recent years pattern recognition of power quality (PQ) disturbances in smart grids has developed into crucial topic for system equipments and end-users. Undoubtedly analyzing the PQ disturbances develop and maintain smart grids effectiveness. Voltage sags are the most common events that affect power quality. These faults are also the most costly. This paper represents…

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(This article belongs to the Special issue on Recent Advances in Engineering Systems 2017 & Section Electrical Engineering (ELE))

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