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• W2085985417 abstract "According to the growth rate of Machine Learning (ML) application in some power system subjects, this paper introduce a comprehensive survey of Artificial Neural Network (ANN) in Static Security Assessment (SSA). Advantages and disadvantages of using ANN in above mentioned subjects and the main challenges in these fields have been explained, too. We explore the links between the fields of SSA and NN in a unified presentation and identify key areas for future research. Recent developments in the solution methods for SSA are reviewed. Hybrid techniques in SSA are also discussed and reviewed and future directions for research are suggested." @default.
• W2085985417 created "2016-06-24" @default.
• W2085985417 creator A5049998749 @default.
• W2085985417 creator A5091222441 @default.
• W2085985417 date "2013-12-19" @default.
• W2085985417 modified "2023-09-24" @default.
• W2085985417 title "Artificial Neural Network for Power System Static Security Assessment: A Survey" @default.
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• W2085985417 doi "https://doi.org/10.11113/jt.v66.1802" @default.
• W2085985417 hasPublicationYear "2013" @default.
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