Dr. Chixin Xiao's work studio

Chixin XIAO (Senior Member, IEEE) received his master's degree in computer science at Xiangtan University, Xiangtan, China, in 2004, and his first PhD degree in computer application technology at Central South University, Changsha, China, in 2009. Furthermore, in Aug 2021, he obtained his second PhD degree in power engineering at the University of Wollongong, Wollongong, NSW, Australia. He was an Associate Professor of information science with Xiangtan University, and previously held academic positions with the University of Essex, U.K., and the University of Newcastle, Australia. His research interests focus on computational intelligence and its applications in power engineering such as smart grid resilience, power system planning and modelling, Optimization in the electricity market, etc.

My recent publications

[1] C. Xiao, D. Sutanto, K. M. Muttaqi, M. Zhang, K. Meng and Z. Y. Dong, "Online Sequential Extreme Learning Machine Algorithm for Better Predispatch Electricity Price Forecasting Grids," in IEEE Transactions on Industry Applications, vol. 57, no. 2, pp. 1860-1871, March-April 2021, doi: 10.1109/TIA.2021.3051105.
[2] C. Xiao, D. Sutanto, K. M. Muttaqi and M. Zhang, "A Judicious Decision-Making Approach for Power Dispatch in Smart Grid Using a Multiobjective Evolutionary Algorithm Based on Decomposition," in IEEE Transactions on Industry Applications, vol. 56, no. 2, pp. 1918-1929, March-April 2020, doi: 10.1109/TIA.2019.2960478. (Reference Code1 | Reference Code2)
[3] C. Xiao, D. Sutanto, K. M. Muttaqi, and M. Zhang, “Multi-period data driven control strategy for real-time management of energy storages in virtual power plants integrated with power grid,” International Journal of Electrical Power & Energy Systems, vol. 118, p. 105747, Jun. 2020.
[4]Xiao, Chixin, Improving Resilience in Smart Grids Using Advanced Predictive Analytics and Computational Intelligence Optimization, Doctor of Philosophy thesis, School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, 2021. https://ro.uow.edu.au/theses1/1137 (To be open-downloaded on 30 Apr 2024)
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