On-Line Static Security Assessment of Power System Based on a New Half-Against-Half Multi-Class Support Vector Machine

2011 3rd International Workshop on Intelligent Systems and Applications ◽

10.1109/isa.2011.5873316 ◽

2011 ◽

Author(s):

Lei Li ◽

Zhi-Hui Zhu

Keyword(s):

Support Vector Machine ◽

Power System ◽

Support Vector ◽

Security Assessment ◽

On Line ◽

Static Security

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Application of multi-class support vector machines for power system on-line static security assessment using DT - based feature and data selection algorithms

Journal of Intelligent & Fuzzy Systems ◽

10.3233/ifs-2009-0421 ◽

2009 ◽

Vol 20 (3) ◽

pp. 133-146 ◽

Author(s):

M. Mohammadi ◽

G.B. Gharehpetian

Keyword(s):

Support Vector Machines ◽

Power System ◽

Data Selection ◽

Support Vector ◽

Security Assessment ◽

Vector Machines ◽

On Line ◽

Static Security ◽

Selection Algorithms

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Power System On-Line Static Security Assessment by Using Multi-Class Support Vector Machines

Journal of Applied Sciences ◽

10.3923/jas.2008.2226.2233 ◽

2008 ◽

Vol 8 (12) ◽

pp. 2226-2233 ◽

Author(s):

M. Mohammadi ◽

G.B. Gharehpeti

Keyword(s):

Support Vector Machines ◽

Power System ◽

Support Vector ◽

Security Assessment ◽

Vector Machines ◽

On Line ◽

Static Security

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Multi-class support vector machines for static security assessment of power system

Ain Shams Engineering Journal ◽

10.1016/j.asej.2019.07.011 ◽

2020 ◽

Vol 11 (1) ◽

pp. 57-65

Author(s):

Astik Dhandhia ◽

Vivek Pandya ◽

Praghnesh Bhatt

Keyword(s):

Support Vector Machines ◽

Power System ◽

Support Vector ◽

Security Assessment ◽

Vector Machines ◽

Static Security

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Binary Classification of Static Security Assessment using Teaching Learning based Optimization enhanced Support Vector Machine

2019 IEEE 16th India Council International Conference (INDICON) ◽

10.1109/indicon47234.2019.9029085 ◽

2019 ◽

Author(s):

Astik Dhandhia ◽

Vivek Pandya

Keyword(s):

Support Vector Machine ◽

Binary Classification ◽

Support Vector ◽

Security Assessment ◽

Teaching Learning Based Optimization ◽

Static Security ◽

Teaching Learning

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Application of Support Vector Machine to Static Security Assessment in Power systems

International Journal of Applied Engineering Research ◽

10.37622/ijaer/10.17.2015.38362-38367 ◽

2015 ◽

Vol 10 (17) ◽

pp. 38362

Author(s):

R. Thamizhselvan ◽

S. Ganapathy

Keyword(s):

Support Vector Machine ◽

Power Systems ◽

Support Vector ◽

Security Assessment ◽

Static Security

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Multi Classification of Static Security Assessment using Teaching Learning based Optimization enhanced Support Vector Machine

2019 8th International Conference on Power Systems (ICPS) ◽

10.1109/icps48983.2019.9067614 ◽

2019 ◽

Author(s):

Astik Dhandhia ◽

Vivek Pandya

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Security Assessment ◽

Teaching Learning Based Optimization ◽

Static Security ◽

Teaching Learning ◽

Multi Classification

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Robust support vector machine-based zero-crossing detector for different power system applications

IET Science Measurement & Technology ◽

10.1049/iet-smt.2018.5025 ◽

2019 ◽

Vol 13 (1) ◽

pp. 83-89

Author(s):

Minati Ghosh ◽

Chiranjib Koley ◽

Nirmal Kumar Roy

Keyword(s):

Support Vector Machine ◽

Power System ◽

Support Vector ◽

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Multi-class Support Vector Machine for On-line Spectral Quality Monitoring of Tobacco Products

Asian Journal of Chemistry ◽

10.14233/ajchem.2013.13712 ◽

2013 ◽

Vol 25 (7) ◽

pp. 3668-3672 ◽

Author(s):

C. Tan ◽

T. Wu ◽

X. Qin

Keyword(s):

Support Vector Machine ◽

Quality Monitoring ◽

Support Vector ◽

Spectral Quality ◽

Tobacco Products ◽

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Optimization of support vector machine parameters for voltage stability margin assessment in the deregulated power system

Soft Computing ◽

10.1007/s00500-018-3615-x ◽

2018 ◽

Vol 23 (20) ◽

pp. 10495-10507 ◽

Author(s):

G. S. Naganathan ◽

C. K. Babulal

Keyword(s):

Support Vector Machine ◽

Power System ◽

Voltage Stability ◽

Stability Margin ◽

Support Vector ◽

Margin Assessment ◽

Deregulated Power System ◽

Voltage Stability Margin

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Real-Time Object Tracking Algorithm Employing On-Line Support Vector Machine and Multiple Candidate Regeneration

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-29347-4_72 ◽

2012 ◽

pp. 617-625 ◽

Author(s):

Pushe Zhao ◽

Renyuan Zhang ◽

Tadashi Shibata

Keyword(s):

Support Vector Machine ◽

Object Tracking ◽

Real Time ◽

Tracking Algorithm ◽

Support Vector ◽

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