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

IEEE Transactions on Power Systems

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Bibliographic Details
Main Authors:	Chang, C.S., Srinivasan, Dipti, Liew, A.C.
Other Authors:	ELECTRICAL ENGINEERING
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/62298
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-62298
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spelling	sg-nus-scholar.10635-622982021-10-05T09:59:19Z 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 IEEE Transactions on Power Systems 9 1 85-92 ITPSE 2014-06-17T06:49:32Z 2014-06-17T06:49:32Z 1994-02 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. 08858950 http://scholarbank.nus.edu.sg/handle/10635/62298 A1994NL15200033 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	IEEE Transactions on Power Systems
author2	ELECTRICAL ENGINEERING
author_facet	ELECTRICAL ENGINEERING Chang, C.S. Srinivasan, Dipti Liew, A.C.
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/10635/62298
_version_	1713205666581053440

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

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