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 | 101 | 2020 |
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 | 90 | 2020 |
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 | 32 | 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 | 30 | 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 | 18 | 2019 |
Intelligent demand response resource trading using deep reinforcement learning Y Zhang, Q Ai, Z Li CSEE Journal of Power and Energy Systems, 2021 | 16 | 2021 |
Improving aggregated baseline load estimation by Gaussian mixture model Y Zhang, Q Ai, Z Li Energy Reports 6, 1221-1225, 2020 | 14 | 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 | 13 | 2022 |
Data augmentation strategy for small sample short‐term 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 | 11 | 2020 |
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 | 10 | 2021 |
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 | 9 | 2020 |
Improving aggregated load forecasting using evidence accumulation k-shape clustering Y Zhang, Y Liu, Z Yu, W Xiong, L Wang, Q Ai, Z Li, K Huang, R Hao, ... 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 8 | 2020 |
A contextual bandit approach for value-oriented prediction interval forecasting Y Zhang, H Wen, Q Wu IEEE Transactions on Smart Grid, 2023 | 7 | 2023 |
ADMM‐based distributed response quantity estimation: a probabilistic perspective Y Zhang, Q Ai, Z Li IET Generation, Transmission & Distribution 14 (26), 6594-6602, 2020 | 6 | 2020 |
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 | 6 | 2018 |
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 | 4* | 2023 |
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 | 4 | 2019 |
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), 128-137, 2020 | 3 | 2020 |
Deriving Loss Function for Value-oriented Renewable Energy Forecasting Y Zhang, H Wen, Y Bian, Y Shi arXiv preprint arXiv:2310.00571, 2023 | 2 | 2023 |
Enabling fast unit commitment constraint screening via learning cost model X He, H Wen, Y Zhang, Y Chen arXiv preprint arXiv:2212.00483, 2022 | 2 | 2022 |