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Volumn 2007, Issue 2, 2007, Pages 137-142

Investigation of power system transient stability using Clustering Based Support Vector Machines and preventive control by rescheduling generators

Author keywords

Data clustering; Neural networks; Preventive control; Support vector machines; Transient stability

Indexed keywords

C-MEANS; DATA CLUSTERING; DEREGULATED ENVIRONMENTS; NETWORK TECHNOLOGIES; NEW ENGLAND; OPERATING POINTS; OPERATION OF POWER SYSTEM; POTENTIAL INSTABILITY; POWER SYSTEM TRANSIENT STABILITY; POWER SYSTEMS; PREVENTIVE ACTION; PREVENTIVE CONTROL; SECURITY MARGINS; SECURITY MONITORING; TEST SYSTEMS; TRANSIENT STABILITY; TRANSIENT STABILITY ASSESSMENT; TRANSMISSION NETWORKS;

EID: 67650430240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ic:20070600     Document Type: Conference Paper
Times cited : (5)

References (12)
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  • 9
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    • Combined Use of supervised and unsupervised learning for Dynamic security assessment
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    • Yoh-Han Pao, D.J.Sobajic,"Combined Use of supervised and unsupervised learning for Dynamic security assessment", IEEE transactions on Power System Vol 17.No2.May 1992.pp 525-532
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.