Hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach

10.1109/59.317554

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Main Authors: Chang, C.S., Srinivasan, Dipti, Liew, A.C.
其他作者: ELECTRICAL ENGINEERING
格式: Article
出版: 2014
在線閱讀:http://scholarbank.nus.edu.sg/handle/10635/80554
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spelling sg-nus-scholar.10635-805542024-11-14T07:17:44Z Hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach Chang, C.S. Srinivasan, Dipti Liew, A.C. ELECTRICAL ENGINEERING 10.1109/59.317554 IEEE Transactions on Power Systems 9 1 85-92 ITPSE 2014-10-07T02:58:48Z 2014-10-07T02:58:48Z 1994-02 Article Chang, C.S., Srinivasan, Dipti, Liew, A.C. (1994-02). Hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach. IEEE Transactions on Power Systems 9 (1) : 85-92. ScholarBank@NUS Repository. https://doi.org/10.1109/59.317554 08858950 http://scholarbank.nus.edu.sg/handle/10635/80554 A1994NL15200033 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1109/59.317554
author2 ELECTRICAL ENGINEERING
author_facet ELECTRICAL ENGINEERING
Chang, C.S.
Srinivasan, Dipti
Liew, A.C.
format Article
author Chang, C.S.
Srinivasan, Dipti
Liew, A.C.
spellingShingle Chang, C.S.
Srinivasan, Dipti
Liew, A.C.
Hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach
author_sort Chang, C.S.
title Hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach
title_short Hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach
title_full Hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach
title_fullStr Hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach
title_full_unstemmed Hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach
title_sort hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/80554
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