Using Support Vector Machine for Prediction Dynamic Voltage Collapse in an Actual Power System
 M. Hasani and M. Parniani, "Method of Combined Static and Dynamic Analysis of Voltage collapse in Voltage Stability Assessment,"
IEEE/PES Transmission and Distribution Conference and Exhibition, China, 2005.
 V. Balamourougan,T.S. Sidhu and M.S. Sachdev, "Technique For
Online Prediction of Voltage Collapse," IEE Proc-Generation, Transmission, Distribution, vol.151, no 4: pp. 453-460, 2004.
 M. Nizam, A. Mohamed and A. Hussain, "Performance Evaluation of Voltage Stability Indices for Dynamic Voltage Collapse Prediction",
Journal of Applied Science, vol.6, no.5, pp1104-1113, 2006.
 A.W. N. Izzri, A. Mohamed and I. Yahya, "A New Method Of Transient Stability Assessment In Power System Using LS-SVM", IEEE Student
Conference on Research and Development, Malaysia, 11-12 December 2007.
 I. Musirin and T.K.A Rahman, 2004, "Voltage stability based weak area
clustering technique in power system", National Power & Energy Conference (PECon 2004), Kuala Lumpur, pp.235-240, 2004.
 G. Celli, M. Loddo and F. Pilo, "Voltage Collapse Prediction with
Locally Recurrent Neural Network", International Conference of, pp.
 S. Krishna and K.R. Padiyar, "Transient Stability Assessment Using
Artificial Neural Networks" Proceedings of IEEE International Conference on Industrial Technology, vol.1, pp.627-632, 2000.
 B. Ravikumar, D. Thukaram and H. P. Khincha, "Application Of Support Vector Machines For Fault Diagnosis In Power Transmission System," Generation, Transmission & Distribution, IET, pp. 119-130,
 K. Pelckmans, J. A. K. Suykens, T. Van Gestel, J. De Brabanter, L. Lukas, B. Hamers, B. De Moor and J. Vandewalle, "LS-SVMlab
Toolbox User-s Guide," ESAT-SCD-SISTA Technical Report 02-145, Katholieke Universiteit Leuven, 2003.
 A.J. Smola and B. Scholkopf, "On a Kernel-Based Method for Pattern
Recognition, Regression, Approximation And Operator Inversion," Algorithmica, vol.22, pp.211-231, 1998.
 D. Z. Gang, N. Lin and Z. J. Guo, "Application of Support Vector Regression Model Based on Phase Space Reconstruction to Power SystemWide-area Stability Prediction", International Power and Energy Conference (IPEC), Singapore, pp. 1880-1885, 2007.
 S. R. Gunn, "Support Vector Machines for Classification and
Regression," Technical Report, Image Speech and Intelligent Systems
Research Group, University of Southampton, 1997.