论文著作：
[1] Mingjian Cui*, Chengbin Zhang, Bing Kang, Jian Zhang*, and Antonio Gomez-Exposito, “Privacy-preserving FDIA detection for radial distribution systems considering attacker preference”, IEEE Transactions on Power Systems, 2025, 已录用.
[2] 安芸帙, 崔明建*, 韩一宁, 等. 考虑数据隐私保护自适应联邦学习的分布式光伏有功可调节能力评估方法[J]. 中国电机工程学报, 2025, 已录用.
[3] 崔沛然, 崔明建*, 汪清, 等. 基于张量分解个性化联邦学习的网络-光伏爬坡协同攻击辨识方法研究[J]. 电工技术学报, 2025, 已录用.
[4] 韩一宁, 崔明建*, 罗光浩, 等. 基于自适应联邦学习的输配网动-静态综合状态估计方法研究[J]. 中国电机工程学报, 2025, 已录用.
[5] Mingjian Cui, Fangxing Li, Hantao Cui, Siqi Bu, and Di Shi, “Data-driven joint voltage stability assessment considering load uncertainty: a variational Bayes inference integrated with multi-CNNs”, IEEE Transactions on Power Systems, vol. 37, no. 3, pp. 1904-1915, May 2022.
[6] Mingjian Cui and Jianhui Wang, “Deeply hidden moving-target-defense for cybersecure unbalanced distribution systems considering voltage stability”, IEEE Transactions on Power Systems, vol. 36, no. 3, pp. 1961-1972, May 2021.
[7] Mingjian Cui, Jianhui Wang, and Bo Chen, “Flexible machine learning-based cyberattack detection using spatiotemporal patterns for distribution systems,” IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1805–1808, Mar. 2020.
[8] Mingjian Cui, Jianhui Wang, Yishen Wang, Ruisheng Diao, and Di Shi, “Robust time-varying synthesis load modeling in distribution networks considering voltage disturbances”, IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 4438-4450, Nov. 2019.
[9] Mingjian Cui, Jianhui Wang, Anthony R. Florita, and Yingchen Zhang, “Generalized graph Laplacian based anomaly detection for spatiotemporal micro-PMU data”, IEEE Transactions on Power Systems, vol. 34, no. 5, pp. 3960-3963, Sep. 2019.
[10] Mingjian Cui, Mahdi Khodayar, Chen Chen, Xinan Wang, Ying Zhang, and Mohammad E. Khodayar, “Deep learning based time-varying parameter identification for system-wide load modeling”, IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6102-6114, Nov. 2019.
[11] Mingjian Cui, Jianhui Wang, and Meng Yue, “Machine learning based anomaly detection for load forecasting under cyberattacks”, IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 5724-5734, Sep. 2019.
[12] Mingjian Cui, Jianhui Wang, Jin Tan, Anthony R. Florita, and Yingchen Zhang, “A novel event detection method using PMU data with high precision”, IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 454-466, Jan. 2019.
[13] Mingjian Cui, Venkat Krishnan, Bri-Mathias Hodge, and Jie Zhang, “A Copula-based conditional probabilistic forecast model for wind power ramps”, IEEE Transactions on Smart Grid, vol. 10, no. 4, pp. 3870-3882, Jul. 2019.
[14] Mingjian Cui and Jie Zhang, “Estimating ramping requirements with solar-friendly flexible ramping product in multi-timescale power system operations”, Applied Energy, vol. 225, pp. 27-41, Sep. 2018.
[15] Mingjian Cui, Jie Zhang, Qin Wang, Venkat Krishnan, and Bri-Mathias Hodge, “A data-driven methodology for probabilistic wind power ramp forecasting”, IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 1326-1338, Mar. 2019.
[16] Mingjian Cui, Jie Zhang, Bri-Mathias Hodge, Siyuan Lu, and Hendrik F. Hamann, “A methodology for quantifying reliability benefits from improved solar power forecasting in multi-timescale power system operations”, IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 6897-6908, Nov. 2018.
[17] Mingjian Cui, Cong Feng, Zhenke Wang, and Jie Zhang, “Statistical representation of wind power ramps using a generalized Gaussian mixture model,” IEEE Transactions on Sustainable Energy, vol. 9, no. 1, pp. 261-272, Jan. 2018.
[18] Mingjian Cui, Jie Zhang, Hongyu Wu, and Bri-Mathias Hodge, “Wind-friendly flexible ramping product design in multi-timescale power system operations,” IEEE Transactions on Sustainable Energy, vol. 8, no. 3, pp. 1064-1075, Jul. 2017.
[19] Mingjian Cui, Jie Zhang, Anthony R Florita, Bri-Mathias Hodge, Deping Ke, and Yuanzhang Sun, “An optimized swinging door algorithm for identifying wind ramping events,” IEEE Transactions on Sustainable Energy, vol. 7, no. 1, pp. 150-162, Jan. 2016.
[20] Mingjian Cui, Deping Ke, Yuanzhang Sun, Di Gan, Jie Zhang, and Bri-Mathias Hodge, “Wind power ramp event forecasting using a stochastic scenario generation method,” IEEE Transactions on Sustainable Energy, vol. 6, no. 2, pp. 422-433, Apr. 2015.
崔明建
天津市
研究领域：
新能源,储能
研究方向：
新能源和储能并网、电力系统优化运行、电力系统网络安全和人工智能等
所在单位：
天津大学
