Matches in SemOpenAlex for { <https://semopenalex.org/work/W3022711925> ?p ?o ?g. }
- W3022711925 abstract "The security assessment, based on which determinant decisions should be made for power system design, control and operation, is a challenging issue for utility engineers and network designers, especially in large-scale power systems. Numerous methods have been proposed and implemented for this purpose, and a variety of indices have been suggested to address the static security condition of power networks. Large-scale datasets of measurements in continually expanding power systems necessitate advanced knowledge in big data analytics. In this review paper, numerical techniques and machine learning-based methods are reviewed as two main categories for static security assessment in power systems based on principal features of static security status classification such as type of classifier, the static security index, and feature selection and extraction methods. This paper can be used as a useful reference for static security assessment of power systems." @default.
- W3022711925 created "2020-05-13" @default.
- W3022711925 creator A5014622826 @default.
- W3022711925 creator A5018478951 @default.
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- W3022711925 creator A5059717426 @default.
- W3022711925 creator A5090122682 @default.
- W3022711925 date "2020-05-04" @default.
- W3022711925 modified "2023-10-17" @default.
- W3022711925 title "Static security assessment of power systems: A review" @default.
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- W3022711925 doi "https://doi.org/10.1002/2050-7038.12432" @default.
- W3022711925 hasPublicationYear "2020" @default.
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