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.
Other Authors:	ELECTRICAL ENGINEERING
Format:	Article
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/80554
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-805542023-10-29T22:33:50Z 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
_version_	1781783919615541248

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

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