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Performance Evaluation of Stability Constrained ATC Estimator using Relevance Vector Machine
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  • Performance Evaluation of Stability Constrained ATC Estimator using Relevance Vector Machine
  • Performance Evaluation of Stability Constrained ATC Estimator using Relevance Vector Machine
저자명
Kumano. Teruhisa,Wada. Akihiro
간행물명
Journal of international council on electrical engineering
권/호정보
2013년|3권 4호|pp.311-317 (7 pages)
발행정보
대한전기학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

RVM (Relevance Vector Machine) based ATC (Available Transfer Capability) estimator for its preliminary screening is proposed, which estimates the approximate value of ATC without long computing time. Starting from this obtained estimation, we can expect drastic saving of the time required to get accurate ATC. Comparisons are made between the proposed method and other existing methods. The performance of the proposed method is clarified by comparing the results with those of existing learning machines such as MLP (Multi-Layer Perceptron) and SVM (Support Vector Machine). In SVM the same kernel is used as in the proposed system. Not only the parameters in the proposed system but also all the parameters in MLP and SVM are carefully tuned to give the best results.