1.C. Wan, Z. Xu, P. Pinson, Z.Y. Dong, K.P. Wong, “Probabilistic forecasting of wind power generation using extreme learning machine,” Invited paper, IEEE Trans. on Power Systems, vol.29, no.3, pp.1033-1044, May 2014. 

2.C. Wan, Z. Xu, P. Pinson, Z.Y. Dong, K.P. Wong, “Optimal prediction intervals of wind power generation,” IEEE Trans. on Power Systems, vol.29, no.3, pp.1166-1174, May 2014. 

3.C. Wan, J. Lin, J. Wang, Y. Song, Z.Y. Dong, “Direct quantile regression for nonparametric probabilistic forecasting of wind power generation,” IEEE Trans. on Power Systems, vol. 32, no. 4, pp. 2767-2778, Jul. 2017.

4.C. Wan, C. Zhao, Y. Song, “Chance constrained extreme learning machine for nonparametric prediction intervals of wind power generation,” IEEE Trans. on Power Systems, vol. 35, no. 5, pp. 3869-3884, Sept. 2020.

5.C. Wan, Z. Xu, and P. Pinson, “Direct interval forecasting of wind power,” IEEE Trans. on Power Systems, vol. 31, no. 6, pp. 4877-4878, Nov. 2013.

6.C. Wan, J. Lin, W. Guo, Y. Song, “Maximum uncertainty boundary of volatile distributed generation in active distribution network,” IEEE Trans. on Smart Grid, vol. 9, no. 4, pp. 2930-2942, Jul. 2018.

7.C. Wan, M. Niu, Y. Song, Z. Xu, “Pareto optimal prediction intervals of electricity price,” IEEE Trans. on Power Systems, vol. 32, no. 1, pp. 817-819, Jan. 2017. 

8.C. Wan, J. Lin, Y. Song, Z. Xu, G. Yang, “Probabilistic forecasting of photovoltaic generation: An efficient statistical approach,” IEEE Trans. on Power Systems, vol. 32, no.3, pp. 2471-2472, May 2017.

9.C. Wan, J. Wang, J. Lin, Y. Song, Z. Y. Dong, “Nonparametric prediction intervals of wind power via linear programming,” IEEE Trans. on Power Systems, vol. 33, no. 1, pp. 1074-1076, Jan. 2018.

10.C. Wan, Z. Xu, Y. L. Wang, Z.Y. Dong, K.P. Wong, “A hybrid approach for probabilistic forecasting of electricity price,” IEEE Trans. on Smart Grid, vol. 5, no. 1, pp. 463-470, Jan. 2014.

11.C. Wan, Z. Xu, J. Østergaard, Z. Y. Dong, K. P. Wong, “Discussion of ‘Combined nonparametric prediction intervals for wind power generation’,” IEEE Trans. on Sustainable Energy, vol. 5, no. 3, pp. 1021, Jul. 2014.

12.Y. Jiang, C. Wan*, A. Botterud, Y. Song, M. Shahidehpour, “Convex relaxation of combined heat and power dispatch,” IEEE Trans. on Power Systems, vol. 36, no. 2, pp. 1442-1458, Mar. 2021.

13.D. Chen, C. Wan*, Y. Song, C. Guo, M. Shahidehpour, “Non-isothermal optimal power and gas flow,” IEEE Trans. on Power Systems, vol. 36, no. 6, pp. 5453-5464, Nov. 2021.

14.C. Wan*, Z. Cao, W. Lee, Y. Song, P. Ju, “An adaptive ensemble data driven approach for nonparametric probabilistic forecasting of electricity load,” IEEE Trans. on Smart Grid, vol. 12, no. 6, pp. 5396-5408, Nov. 2021.

15.P. Yu, C. Wan*, Y. Song, Y. Jiang, “Distributed control of multi-energy storage systems for voltage regulation in distribution networks: A back-and-forth communication framework,” IEEE Trans. on Smart Grid, vol. 12, no. 3, pp. 1964-1977, May 2021.

16.C. Zhao, C. Wan*, Y. Song, “Operating reserve quantification using prediction intervals of wind power: An integrated probabilistic forecasting and decision methodology,” IEEE Trans. on Power Systems, vol. 36, no. 4, pp. 3701-3714, Jul. 2021.

17.C. Wan, W. Qian, C. Zhao, Y. Song, G. Yang, “Probabilistic forecasting based sizing and control of hybrid energy storage for wind power smoothing,”  IEEE Trans.  on Sustainable Energy, vol. 12, no. 4, pp. 1841-1852, Oct. 2021.

18.Y. Jiang, C. Wan*, A. Botterud, Y. Song, Z. Y. Dong, “Efficient robust scheduling of integrated electricity and heat systems: A direct constraint tightening approach,”  IEEE Trans. on Smart Grid, 2021, vol. 12, no. 4, pp. 3016-3029, Jul. 2021.

19.C. Zhao, C. Wan*, Y. Song, “An adaptive bilevel programming model for nonparametric prediction intervals of wind power generation,” IEEE Trans. on Power Systems, vol. 35, no. 1, pp. 424-439, Jan. 2020.

20.C. Zhao, C. Wan*, Y. Song, Z. Cao, “Optimal nonparametric prediction intervals of electricity load,” IEEE Trans. Power Systems, vol. 35, no. 3, pp. 2467-2470, May 2020.

21.Z. Cao, C. Wan*, Z. Zhang, F. Li, Y. Song, “Hybrid ensemble deep learning for deterministic and probabilistic low-voltage load forecasting,” IEEE Trans. on Power Systems, vol. 35, no. 3, pp. 1881-1897, May 2020.

22.Y. Jiang, C. Wan*, C. Chen, M. Shahidehpour, Y. Song, “A hybrid stochastic-interval operation strategy for multi-energy microgrids,” IEEE Trans. on Smart Grid, vol. 11, no. 1, pp. 440-456, Jan. 2020.

23.Y. Jiang, C. Wan*, A. Botterud, Y. Song, S. Xia, “Exploiting flexibility of district heating networks in combined heat and power dispatch,” IEEE Trans. on Sustainable Energy, vol. 11, no. 4, pp. 2174-2188, Oct. 2020.

24.Y. Jiang, C. Wan*, J. Wang, Y. Song, Z. Y. Dong, “Stochastic receding horizon control of active distribution networks with distributed renewables,” IEEE Trans. on Power Systems, vol.34, no.2, pp.1325-1341, Mar. 2019.

25.C. Zhao, C. Wan*, Y. Song, “Cost-oriented prediction intervals: On bridging the gap between forecasting and decision,” IEEE Trans. on Power Systems, vol. 37, no. 4, pp. 3048-3062, Jul. 2022.

26.Y. Li, C. Wan*, D. Chen, Y. Song, “Nonparametric probabilistic optimal power flow,” IEEE Trans. on Power Systems, vol. 37, no. 4, pp. 2758-2770, Jul. 2022.

27.W. Cui, C. Wan*, Y. Song, “Ensemble deep learning-based non-crossing quantile regression for nonparametric probabilistic forecasting of wind power generation,” IEEE Trans. on Power Systems, 2022, In press

28.P. Yu, C. Wan*, M. Sun, Y. Zhou and Y. Song, “Distributed voltage control of active distribution networks with global sensitivity,” IEEE Trans. on Power Systems, 2022, In press

29.Z. He, C. Wan*, Y. Song, “Frequency regulation from electrified railway,” IEEE Trans. on Power Systems, vol. 37, no. 3, pp. 2414-2431, May 2022.

30.Z. He, C. Wan*, Y. Song, “Adaptive frequency response from electrified railway,” IEEE Trans. on Power Systems, 2022, In press

31.Y. Jia, C. Wan*, P. Yu, Y. Song, P. Ju, “Security constrained P2P energy trading in distribution networks: An integrated transaction and operation model,” IEEE Trans. on Smart Grid, 2022, In press

32.Y. Jia, C. Wan*, W. Cui, Y. Song, P. Ju, “Peer-to-peer energy trading using prediction intervals of renewable energy generation,” IEEE Trans. on Smart Grid, 2022, In press

33.C. Wang, P. Ju, C. Wan, et al., “Resilience-based coordinated scheduling of cascaded hydro power with sequential heavy precipitation,” IEEE Trans. on Sustainable Energy, 2022

34.X. Chen, J. Lin, C. Wan*, Y. Song, S. You, Y. Zong, Y. Li, “Optimal meter placement for distribution network state estimation: A circuit representation based MILP approach,” IEEE Trans. on Power Systems, vol.29, no.3, pp. 4357-4370, Nov. 2016.

35.Z. Cao, J. Lin, C. Wan*, Y. Song, Y. Zhang, X. Wang, “Optimal cloud computing resource allocation for demand side management in smart grid,” IEEE Trans. on Smart Grid, vol. 8, no. 4, pp. 1943-1955, Jul. 2017.

36.X. Xing, J. Lin, C. Wan*, Y. Song, “Model predictive control of LPC-looped active distribution network with high penetration of distributed generation,” IEEE Trans. on Sustainable Energy, vol. 8, no. 3, pp. 1051-1063, Jul. 2017.

37.X. Chen, J. Lin, C. Wan*, Y. Song, H. Luo, “A unified frequency-domain model for automatic generation control assessment under wind power uncertainty,” IEEE Trans. on Smart Grid, vol. 10, no. 3, pp. 2936-2947, May 2019.

38.Y. Lin, M. Yang, C. Wan*, J. Wang, Y. Song, “A multi-model combination approach for probabilistic wind power forecasting,” IEEE Trans. on Sustainable Energy, vol. 10, no. 1, pp. 226-237, Jan. 2019.

39.Y. Wang, C. Wan, Z. Zhou, K. Zhang, A. Botterud, “Improving deployment availability of energy storage with data-driven AGC signal models,” IEEE Trans. on Power Systems, vol. 33, no. 4, pp. 4207-4217, Jul. 2018.

40.J. Zhao, C. Wan, Z. Xu, K.P. Wong, “Spinning reserve requirement optimization considering integration of plug-in electric vehicles,” IEEE Trans. on Smart Grid, vol. 8, no. 4, pp. 2009-2021, Jul. 2017.

41.J. Zhao, C. Wan, Z. Xu, J. Wang, “Risk-based day-ahead scheduling of electric vehicle aggregator using information gap decision theory,” IEEE Trans. on Smart Grid, vol. 8, no. 4, pp. 1609-1618, Jul. 2017.

42.S. Xia, S. Bu, C. Wan, X. Lu, K.W. Chan, B. Zhou, “A fully distributed hierarchical control framework for coordinated operation of DERs in active distribution power networks,” IEEE Trans. on Power Systems, vol. 34, no. 6, pp. 5184-5197, Nov. 2019.

43.J. Li, Z. Xu, J. Zhao, C. Wan, “A coordinated dispatch model for distribution network considering PV ramp,” IEEE Trans. on Power Systems, vol. 33, no. 1, pp. 1107-1109, Jan. 2018.

1.C. Wan, J. Zhao, Y. Song, Z. Xu, J. Lin, Z. Hu, “Photovoltaic and Solar Power Forecasting for Smart Grid Energy Management,” CSEE Journal of Power and Energy Systems, vol. 1, no. 4, pp. 38-46, 2015. (Excellent Paper Award)

2.Y. Jiang, C. Wan, A. Botterud, Y. Song, “Combined Heat and Power Dispatch Using Simplified District Heat Flow Model,” 2019 IEEE Power & Energy Society General Meeting, Atlanta, GA, USA, Aug. 2019. (Best Conference Paper)

3.W. Cui, C. Wan, “Hybrid Probabilistic Forecasting of Photovoltaic Power Generation Considering Weather Conditions,” 2022 IEEE Power & Energy Society General Meeting, Denver, Colorado, USA, Jul. 2022. (Best Conference Paper)

4.P. Yu, C. Wan, Y. Song, “Fully Distributed Optimization for Combined Heat and Power Dispatch,” 2022 IEEE Power & Energy Society General Meeting, Atlanta, Denver, Colorado, USA, Jul. 2022. (Best Conference Paper)

5.J. Zhao, C. Wan, Zhao Xu, “Impacts of Large-scale Photovoltaic Generation Penetration on Power System Spinning Reserve Allocation,” 2016 IEEE Power & Energy Society General Meeting, Boston, MA, USA, Jul. 2016. (Best Conference Paper)