Power System Loading Margin Estimation Using a Neuro-Fuzzy Approach
暂无分享,去创建一个
[1] Robert Babuska,et al. Neuro-fuzzy methods for modeling and identification , 2003 .
[2] Mahmoud Moghavvemi,et al. Power system security and voltage collapse: a line outage based indicator for prediction , 1999 .
[3] James D. McCalley,et al. Software implementation of online risk-based security assessment , 2002 .
[4] A. Berizzi,et al. A Neuro-Fuzzy Inference System for the Evaluation of Voltage Collapse Risk Indices , 2004 .
[5] Marco Merlo,et al. A rule-based fuzzy logic approach for the voltage collapse risk classification , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).
[6] Chen-Sung Chang,et al. Neuro-fuzzy networks for voltage security monitoring based on synchronized phasor measurements , 1998 .
[7] A.C.Z. de Souza,et al. New techniques to speed up voltage collapse computations using tangent vectors , 1997 .
[8] K. H. Chiang,et al. Conceptual designs of AI-based systems for local prediction of voltage collapse , 1996 .
[9] E. Mizutani,et al. Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.
[10] J.-S.R. Jang,et al. Input selection for ANFIS learning , 1996, Proceedings of IEEE 5th International Fuzzy Systems.
[11] S. Chiu. Method and software for extracting fuzzy classification rules by subtractive clustering , 1996, Proceedings of North American Fuzzy Information Processing.
[12] V. Vittal,et al. Software Implementation of Online Risk-Based Security Assessment , 2002, IEEE Power Engineering Review.
[13] M. Vaziri,et al. Automated Operating Procedures for Transfer Limits , 2001 .
[14] Carlos A. Castro,et al. Continuation load flow using automatically determined branch megawatt losses as parameters , 2006 .