肖赤心 - 湘潭大学 - 计算机学院网络空间安全学院

个人简介

中南大学人工智能工学博士（2009）；澳大利亚伍伦贡大学(The University of Wollongong)智能电网信息科学全职博士（2020 ）；曾先后在英国埃塞克斯大学（The University of Essex）从事多目标优化博士后研究工作(2010)，澳大利亚纽卡斯尔大学(The University of Newcastle)和悉尼大学（The University of Sydney）从事智能计算在智能电网的深度应用研究工作(2014)。研究方向：人工智能及其工业应用、智能电网、智能计算（依托大数据）。

研究领域

(计算机科学与技术)Research expertise:Evolutionary Computation and Application, e.g., Evolutionary Extreme Learning Machine(E-ELM),Evolving Neural Network;Machine Learning;Natural Language Processing was also my research interest. My current researches are mainly focused on Multi-Objective Optimization and its applications, particular in Power System and Power Market Optimization

近期论文

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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. 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. 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, doi: 10.1016/j.ijepes.2019.105747. C. Xiao, Z. Dong, Y. Xu, K. Meng, X. Zhou, and X. Zhang, “Rational and self-adaptive evolutionary extreme learning machine for electricity price forecast,” Memetic Computing, vol. 8, no. 3, pp. 223–233, 2016.