学术著作
论文： [1] Zhang Yi, Shi Xiaohan*, Zhang Hengxu, et.al. Review on Deep Learning Applications in Frequency Analysis and Control of Modern Power System. International Journal of Electrical Power and Energy Systems 2022. vol 136.[2] Rafiq Hasan, Shi Xiaohan*, Zhang Hengxu, et.al. Generalizability Improvement of Deep Learning-Based Non-Intrusive Load Monitoring System Using Data Augmentation. IEEE Trans. on Smart Grid, 2021. vol 12,no 4, pp 3265-3277. [3] Shi Xiaohan, Wei Chuanzhi, Zhang Hengxu, et.al. Fault modeling of IIDG considering inverters detailed characterist-ics. IEEE ACCESS, 2020, vol 8, pp 83401-83410. [4] Rafiq Hasan, Shi Xiaohan*, Zhang Hengxu, et.al. A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Space and Post-Processing. Energies, 2020, vol 13,no 9, pp 2195-3204. [5] 施啸寒，赵雅文，张恒旭*,基于准零相位滤波器的电池储能系统平滑风电波动控制方法. 电力系统自动化,2021,45(4):45-53. [6] 魏传芝，施啸寒*，张恒旭等,考虑电流指令跟踪能力的PQ控制逆变型分布式电源故障模型. 电力自动化设备, 2020, 4(1):59-65. [7] Xiaohan Shi, Shaorong Wang, Wei Yao*, et.al. Mechanism Analysis and Experimental Validation of Employing Superconducting Magnetic Energy Storage to Enhance Power System Stability, Energies,2015, vol. 8, pp. 656-681. [8] 施啸寒，王少荣*，左文平.“超导磁储能系统用多相斩波器矢量切换控制方法”．中国电机工程学报，2013，33（30）：145-152. [9] 施啸寒，王少荣*.“蓄电池-超导磁体储能系统平抑间歇性电源出力波动的研究”．电力自动化设备，2013，33（8）： 53-58. 专利： [1]第一发明人,一种储能系统控制方法及系统,授权 [2]第一发明人,一种逆变器并网型分布式电源故障模型构建方法,授权 [3]主要完成人,考虑电池不一致与老化共同演化的电池分选参数确定方法,授权 [4]主要完成人,一种适用于可动态重构电池储能系统的管理系统及其方法,授权 [5]第一发明人,一种锂离子电池等值电路参数在线辨识方法及系统,实审 [6]第一发明人,一种锂离子电池组运行状态的数值模拟方法及系统,实审
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