Xiaochuan Luo, Ph.D.
Affiliations: | 2000 | Texas A & M University, College Station, TX, United States |
Area:
Electronics and Electrical Engineering, EnergyGoogle:
"Xiaochuan Luo"Parents
Sign in to add mentorChanan Singh | grad student | 2000 | Texas A & M | |
(Development of neural network-based techniques for power system transfer capability calculations and reliability evaluation.) |
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Publications
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Zhang S, Luo X, Litvinov E. (2021) Serverless computing for cloud-based power grid emergency generation dispatch International Journal of Electrical Power & Energy Systems. 124: 106366 |
Sharma D, Lin C, Luo X, et al. (2020) Advanced techniques of power system restoration and practical applications in transmission grids Electric Power Systems Research. 182: 106238 |
Litvinov E, Zhang S, Luo X, et al. (2019) Synchrophasor-Based Emergency Generation Control for Area Balancing Ieee Transactions On Smart Grid. 10: 5831-5840 |
Luo X, Zhang S, Litvinov E. (2019) Practical Design and Implementation of Cloud Computing for Power System Planning Studies Ieee Transactions On Smart Grid. 10: 2301-2311 |
Anderson D, Gkountouvas T, Meng M, et al. (2019) GridCloud: Infrastructure for Cloud-Based Wide Area Monitoring of Bulk Electric Power Grids Ieee Transactions On Smart Grid. 10: 2170-2179 |
Jiang Y, Chen S, Liu C, et al. (2017) Blackstart capability planning for power system restoration International Journal of Electrical Power & Energy Systems. 86: 127-137 |
Ma F, Luo X, Litvinov E. (2016) Cloud Computing for Power System Simulations at ISO New England—Experiences and Challenges Ieee Transactions On Smart Grid. 7: 2596-2603 |
Luo X, Singh C, Patton AD. (2003) Power system reliability evaluation using learning vector quantization and Monte Carlo simulation Electric Power Systems Research. 66: 163-169 |
Gan D, Luo X, Bourcier DV, et al. (2003) Min–max transfer capabilities of transmission interfaces International Journal of Electrical Power & Energy Systems. 25: 347-353 |
Luo X, Patton AD, Singh C. (2000) Real power transfer capability calculations using multi-layer feed-forward neural networks Ieee Transactions On Power Systems. 15: 903-908 |