| Typical wind power scenario generation for multiple wind farms using conditional improved Wasserstein generative adversarial network Y Zhang, Q Ai, F Xiao, R Hao, T Lu International Journal of Electrical Power & Energy Systems 114, 105388, 2020 | 128 | 2020 |
| Energy management for aggregate prosumers in a virtual power plant: A robust Stackelberg game approach S Yin, Q Ai, Z Li, Y Zhang, T Lu International Journal of Electrical Power & Energy Systems 117, 105605, 2020 | 122 | 2020 |
| 基于深度长短时记忆网络的区域级超短期负荷预测方法 张宇帆， 艾芊， 林琳， 袁帅， 李昭昱 电网技术 43 (6), 1884-1891, 2019 | 54 | 2019 |
| Bi-level distributed day-ahead schedule for islanded multi-microgrids in a carbon trading market Y Zhang, Q Ai, H Wang, Z Li, K Huang Electric power systems research 186, 106412, 2020 | 40 | 2020 |
| Energy theft detection in an edge data center using threshold-based abnormality detector Y Zhang, Q Ai, H Wang, Z Li, X Zhou International Journal of Electrical Power & Energy Systems 121, 106162, 2020 | 34 | 2020 |
| 数据驱动技术在虚拟电厂中的应用综述 李昭昱， 艾芊， 张宇帆， 殷爽睿， 孙东磊， 李雪亮 电网技术 44 (7), 2411-2419, 2020 | 25 | 2020 |
| Optimal adaptive prediction intervals for electricity load forecasting in distribution systems via reinforcement learning Y Zhang, H Wen, Q Wu, Q Ai IEEE Transactions on Smart Grid 14 (4), 3259-3270, 2022 | 23 | 2022 |
| Intelligent demand response resource trading using deep reinforcement learning Y Zhang, Q Ai, Z Li CSEE Journal of Power and Energy Systems, 2021 | 17 | 2021 |
| Improving aggregated baseline load estimation by Gaussian mixture model Y Zhang, Q Ai, Z Li Energy Reports 6, 1221-1225, 2020 | 17 | 2020 |
| A contextual bandit approach for value-oriented prediction interval forecasting Y Zhang, H Wen, Q Wu IEEE Transactions on Smart Grid 15 (2), 2271-2281, 2023 | 15 | 2023 |
| Closed-loop aggregated baseline load estimation using contextual bandit with policy gradient Y Zhang, Q Wu, Q Ai, JPS Catalão IEEE Transactions on Smart Grid 13 (1), 243-254, 2021 | 14 | 2021 |
| Data augmentation strategy for small sample shortterm load forecasting of distribution transformer Y Zhang, Q Ai, Z Li, S Yin, K Huang, M Yousif, T Lu International Transactions on Electrical Energy Systems 30 (7), e12209, 2020 | 14 | 2020 |
| 基于机会约束规划的楼宇综合能源系统经济调度 张宇帆， 艾芊， 郝然， 孙树敏， 林琳， 袁帅 电网技术 43 (1), 108-115, 2019 | 13 | 2019 |
| 数据驱动电能质量分析现状及其支撑技术与展望 张宇帆， 艾芊， 肖斐， 张昭丞， 谢善益 电力自动化设备 38 (11), 187-196, 2018 | 13 | 2018 |
| Deep lstm and gan based short-term load forecasting method at the zone level J Zhang, X Zhang, J Yang, Z Wang, Y Zhang, Q Ai, Z Li, Z Sun, S Yin 2020 International Conference on Artificial Intelligence in Information and …, 2020 | 11 | 2020 |
| 基于特征提取的面向边缘数据中心的窃电监测 张宇帆， 艾芊， 李昭昱， 肖斐， 饶渝泽 电力系统自动化 44 (9), 128-134, 2020 | 11 | 2020 |
| Interactive optimization between active distribution network with multi-microgrids based on distributed algorithm Z Li, H Wang, Q Ai, Y Zhang Energy Reports 6, 385-391, 2020 | 10 | 2020 |
| 基于能源细胞-组织架构的区域能源网需求响应研究挑战与展望 黄开艺， 艾芊， 张宇帆， 郝然， 吕天光， 高扬， 肖斐 电网技术 43 (9), 3149-3160, 2019 | 10 | 2019 |
| Optimal vehicle charging in bilevel power-traffic networks via charging demand function Y Zhang, S Dey, Y Shi IEEE Transactions on Smart Grid 15 (3), 3054-3065, 2023 | 9 | 2023 |
| Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach Y Zhang, M Jia, H Wen, Y Bian, Y Shi arXiv preprint arXiv:2309.00803, 2023 | 8* | 2023 |
Honglin WenShanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
