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Advances in Artificial Intelligence
Volume 2013 (2013), Article ID 316985, 8 pages
http://dx.doi.org/10.1155/2013/316985
Research Article

Artificial-Intelligence-Based Techniques to Evaluate Switching Overvoltages during Power System Restoration

1Department of Electrical Engineering, Islamic Azad University, Najafabad Branch, Najafabad 85141-43131, Iran
2Department of Electrical Engineering, University of Kashan, Kashan 87317-51167, Iran
3Grenoble Electrical Engineering Lab (G2ELab), Grenoble INP, BP46, 38402 Saint Martin d’Hères Cedex, France

Received 19 May 2012; Revised 31 July 2012; Accepted 23 October 2012

Academic Editor: Richard Mitchell

Copyright © 2013 Iman Sadeghkhani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Iman Sadeghkhani, Abbas Ketabi, and Rene Feuillet, “Artificial-Intelligence-Based Techniques to Evaluate Switching Overvoltages during Power System Restoration,” Advances in Artificial Intelligence, vol. 2013, Article ID 316985, 8 pages, 2013. doi:10.1155/2013/316985