QUN ZHOU SUN

Preprints

  1. Q. Zhou, G. Tian and S. Faddel, "Probabilistic building energy modeling using Logistic Regression Markov Chain"
  2. Q. Zhou, G. Tian, and S. Faddel, "HVAC scheduling using Markov Decision Processes with exogenous variables"
  3. E. Elliot, N. Shanklin, S. Zehtabian, Q. Zhou, and D. Turgut, "Peer-to-Peer Energy Trading and Grid Impact Study in Smart Communities"
  4. H. Panamtash and Q. Zhou, "Bayesian forecasting for solar power prediction using empirical copulas"
  5. Q. Zhou, R. Wadjaja, and W. Wu, "Solar power volatility forecasting with high-frequency models"
  6. G. Tian, R. Birari, Q. Zhou, Z. Qu, and J. Qi, "A Hybrid-learning algorithm for online dynamic state estimation in multi-machine power systems"

Journal papers

  1. A. Golshani, W. Sun, Q. Zhou, Q.P. Zheng, J. Wang, and F. Qiu, "Coordination of wind farm and pumped-storage hydro for a self-healing power grid," IEEE Transactions on Sustainable Energy, vol.9, no. 4, pp. 1910-1920, Oct 2018. (pdf)
  2. A. Golshani, W. Sun, Q. Zhou, Q.P. Zheng, and J. Tong, "Two-stage adaptive restoration decision support system for a self-healing power grid," IEEE Transactions on Industrial Informatics, vol. 13, no. 6, pp. 2802-2812, 2017. (pdf)
  3. A. Golshani, W. Sun, Q. Zhou, Q. P. Zheng, and Y. Hou, "Incorporating wind energy in power system restoration planning," IEEE Transactions on Smart Grid, 2017. (pdf)
  4. Q. Zhou, L. Tesfatsion, C. C. Liu, R. F. Chu, and W. Sun, "A Nash approach to planning merchant transmission for renewable resource integration," IEEE Transactions on Power Systems, vol. 28, no. 3,pp. 2086-2100, Aug. 2013. (pdf)
  5. Q. Zhou, L. Tesfatsion, C. C. Liu, "Short-term congestion forecasting in wholesale power market, "IEEE Transactions on Power Systems, vol. 26, no. 4,pp. 2185-2196, Nov. 2011. (pdf)

Conference papers

  1. H. Panamtash and Q. Zhou, "Coherent probabilistic solar power forecasting," 15th International Conference on Probabilistic Methods Applied to Power Systems, Boise, ID, June 24 - 28, 2018. (pdf)
  2. G. Tian, Q. Zhou, and L. Du, "Deep convolutional neural networks for distribution system fault classification," 2018 IEEE PES General Meeting, Portland, OR, August 5-10, 2018. (pdf)
  3. A. Golshani, W. Sun, and Q. Zhou, "PHEVs' contribution to self-healing process of distribution systems," 2016 IEEE Power & Energy Society General Meeting, Boston, MA, Jul. 2016. (pdf)
  4. D. Chaudhary, W. Sun, Q. Zhou, and A. Golshani, "Chance-constrained real-time volt/var optimization using simulated annealing," 2015 IEEE Power & Energy Society General Meeting, Denver, CO, Jul. 2015. (pdf)
  5. A. Golshani, W. Sun, and Q. Zhou, "Optimal PMU placement for power system restoration," 2015 Power Systems Conference, Clemson University, 2015. (pdf)
  6. N. Kadel, W. Sun, and Q. Zhou, "On battery storage system for load pickup in power system restoration," 2014 IEEE Power & Energy Society General Meeting, National Harbor, MD, 27-31 Jul. 2014. (pdf)
  7. W. Sun and Q. Zhou, "Maintenance strategies for a generation company in a CO2 allowance market environment,"2012 IEEE Power & Energy Society General Meeting, San Diego, CA, Jul. 2012.(pdf)
  8. Q. Zhou, W. Guan and W. Sun, "Impact of demand response contracts on load forecasting in a smart grid environment," Invited paper, 2012 IEEE Power & Energy Society General Meeting, San Diego, CA, Jul. 2012. (pdf)
  9. W. Sun, P. Zhang and Q. Zhou, "Optimization-based strategies towards a self-healing smart grid," 2012 IEEE Power & Energy Society Innovative Smart Grid Technologies Asia , Tianjin, China, May 2012.(pdf)
  10. Q. Zhou, L.Tesfatsion, and C. C. Liu, "Global sensitivity analysis for the short-term prediction of system variables," 2010 IEEE Power & Energy Society General Meeting, Minneapolis, MN, Jul. 2010.(pdf)
  11. Q. Zhou, L. Tesfatsion, and C. C. Liu, "Scenario generation for price forecasting in restructured wholesale power markets," IEEE Power Systems Conference & Exposition, Seattle, WA, Mar. 2009. (pdf)