Adly A. Girgis
Affiliations: | Electrical & Computer Engineering | Clemson University, Clemson, SC, United States |
Area:
Electronics and Electrical EngineeringGoogle:
"Adly Girgis"Children
Sign in to add trainee| Amr G. Bahbah | grad student | 2000 | Clemson University |
| Ding Xu | grad student | 2001 | Clemson University |
| Sukumar M. Brahma | grad student | 2003 | Clemson University |
| Zhenyu Fan | grad student | 2004 | Clemson University |
| Manish Patel | grad student | 2009 | Clemson University |
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Publications
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| Makram EB, Vutsinas MC, Girgis AA, et al. (2012) Contingency analysis using synchrophasor measurements Electric Power Systems Research. 88: 64-68 |
| Girgis AA, Mathure S. (2010) Application of active power sensitivity to frequency and voltage variations on load shedding Electric Power Systems Research. 80: 306-310 |
| Zheng T, Makram EB, Girgis AA. (2003) Evaluating power system unbalance in the presence of harmonic distortion Ieee Transactions On Power Delivery. 18: 393-397 |
| Zheng T, Girgis AA, Makram EB. (2000) Hybrid wavelet-Kalman filter method for load forecasting Electric Power Systems Research. 54: 11-17 |
| Zheng T, Makram EB, Girgis AA. (1999) Power system transient and harmonic studies using wavelet transform Ieee Transactions On Power Delivery. 14: 1461-1468 |
| Zhu J, Lubkeman DL, Girgis AA. (1997) Automated fault location and diagnosis on electric power distribution feeders Ieee Transactions On Power Delivery. 12: 801-809 |
| Varadan S, Makram EB, Girgis AA. (1996) A new time domain voltage source model for an arc furnace using EMTP Ieee Transactions On Power Delivery. 11: 1685-1690 |
| Wang L, Girgis AA. (1996) On-line detection of power system small disturbance voltage instability Ieee Transactions On Power Systems. 11: 1304-1313 |
| Girgis AA, Stephens JW, Makram EB. (1995) Measurement and prediction of voltage flicker magnitude and frequency Ieee Transactions On Power Delivery. 10: 1600-1605 |
| Girgis AA, Varadan S. (1995) Unit commitment using load forecasting based on artificial neural networks Electric Power Systems Research. 32: 213-217 |