| A two-stage framework for ambient signal based load model parameter identification X Zhang, C Lu, Y Wang International Journal of Electrical Power & Energy Systems 121, 106064, 2020 | 22 | 2020 |
| Applicability comparison of different algorithms for ambient signal based load model parameter identification Y Wang, C Lu, X Zhang International Journal of Electrical Power & Energy Systems 111, 382-389, 2019 | 19 | 2019 |
| Experimental measurement of PMU error distribution and its impact on load model identification X Zhang, C Lu, J Lin, Y Wang, J Wang, H Huang, Y Su 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 19 | 2016 |
| Decision tree based validation of load model parameters Y Wang, C Lu, X Zhang, H Huang, Y Su 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 13 | 2016 |
| Online realization of an ambient signal-based load modeling algorithm and its application in field measurement data Y Wang, C Lu, P Wu, X Zhang, Y Su, C Xiong, B Zhao IEEE Transactions on Industrial Electronics 69 (7), 7451-7460, 2021 | 10 | 2021 |
| Experimental test of PMU measurement errors and the impact on load model parameter identification X Zhang, C Lu, J Lin, Y Wang IET Generation, Transmission & Distribution 14 (20), 4593-4604, 2020 | 10 | 2020 |
| Identifiability analysis of load model by estimating parameters' confidential intervals X Zhang, C Lu, Y Wang, Q Ruan, H Ye, W Wang CSEE Journal of Power and Energy Systems, 2020 | 4 | 2020 |
| K-medoids based typical load model parameter extraction method Y Wang, C Lu, X Zhang 2019 International Conference on Smart Grid Synchronized Measurements and …, 2019 | 4 | 2019 |
| Identifiability analysis of load model parameter identification with likelihood profile method X Zhang, C Lu, Y Wang 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 4 | 2018 |
| Data improvement for ambient signal based load modeling via wide-area state estimation Y Wang, W Song, J Lin, X Zhang, C Lu International Journal of Electrical Power & Energy Systems 141, 108173, 2022 | 2 | 2022 |
| Convolution neural network based load model parameter selection considering short-term voltage stability Y Wang, C Lu, X Zhang CSEE Journal of Power and Energy Systems, 2022 | 2 | 2022 |
| 基于聚类算法和类噪声数据辨识的负荷模型特征参数提取 周运斌， 陈茜， 王颖， 王卫， 周晋航， 王海云 电工电能新技术 39 (12), 12-18, 2020 | 2 | 2020 |
| 主导负荷参数类噪声辨识的数据处理方法 吴沛萱， 叶洪波， 崔勇， 陆超， 王颖， 王伟红， 顾军 电网技术 45 (6), 2335-2341, 2021 | 1 | 2021 |
| Design and analysis of HVDC low frequency oscillation damping controller X Zhang, Y Wang, C Lu, X Wang, S Liu, R Cui 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 1 | 2016 |
| 发电机附加励磁控制在增加四川电网外送容量中的应用 陆超， 程云峰， 王颖， 刘柏私， 李建， 庞晓艳 电网技术 38 (8), 2044-2050, 2014 | 1 | 2014 |
| Multi-Start Strategy based Global Optimization Method for Ambient Signal-based Load Modeling P Wu, C Lu, Y Wang, C Zhu, S Zhang 2021 Power System and Green Energy Conference (PSGEC), 57-61, 2021 | | 2021 |
| 基于特征提取的负荷模型参数相关性规则挖掘 王颖， 陆超， 张欣然， 董楠， 王卫， 宋方方， 王海云 供用电 37 (4), 3-9, 2020 | | 2020 |
| 类噪声辨识负荷参数的实际电网校验方法 王颖， 吴沛萱， 苏寅生， 陆超， 张欣然 电网技术, 2020 | | 2020 |
Xinran Zhang (张欣然)Assistant Professor, Beihang UniversityDirección de correo verificada de buaa.edu.cn
