| Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids Z Li, L Wu, Y Xu, L Wang, N Yang Applied Energy 331, 120282, 2023 | 140 | 2023 |
| A comprehensive review of security-constrained unit commitment N Yang, Z Dong, L Wu, L Zhang, X Shen, D Chen, B Zhu, Y Liu Journal of Modern Power Systems and Clean Energy 10 (3), 562-576, 2021 | 126 | 2021 |
| Intelligent data-driven decision-making method for dynamic multisequence: An E-Seq2Seq-based SCUC expert system N Yang, C Yang, L Wu, X Shen, J Jia, Z Li, D Chen, B Zhu, S Liu IEEE Transactions on Industrial Informatics 18 (5), 3126-3137, 2021 | 118 | 2021 |
| A multi-agent game based joint planning approach for electricity-gas integrated energy systems considering wind power uncertainty N Yang, T Qin, L Wu, Y Huang, Y Huang, C Xing, L Zhang, B Zhu Electric Power Systems Research 204, 107673, 2022 | 86 | 2022 |
| Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities N Yang, C Yang, C Xing, D Ye, J Jia, D Chen, X Shen, Y Huang, L Zhang, ... IET Generation, Transmission & Distribution 16 (4), 629-640, 2022 | 75 | 2022 |
| Research on modelling and solution of stochastic SCUC under AC power flow constraints Y Nan, Y Di, Z Zheng, C Jiazhan, C Daojun, W Xiaoming IET Generation, Transmission & Distribution 12 (15), 3618-3625, 2018 | 61 | 2018 |
| Sample-based neural approximation approach for probabilistic constrained programs X Shen, T Ouyang, N Yang, J Zhuang IEEE Transactions on Neural Networks and Learning Systems 34 (2), 1058-1065, 2021 | 53 | 2021 |
| Adaptive nonparametric kernel density estimation approach for joint probability density function modeling of multiple wind farms N Yang, Y Huang, D Hou, S Liu, D Ye, B Dong, Y Fan Energies 12 (7), 1356, 2019 | 48 | 2019 |
| 基于聚类经验模态分解和最小二乘支持向量机的短期风速组合预测 王贺， 胡志坚， 张翌晖， 李晨， 杨楠， 王战胜 电工技术学报 29 (4), 237-245, 2014 | 41 | 2014 |
| Incremental distribution network source-load collaborative planning method considering uncertainty and multi-agent game N Yang, B Dong, Y Huang, H Li, D Ye, S Liu Proceedings of the CSEE 39 (9), 2689-2702, 2019 | 34 | 2019 |
| A data-driven approach for online dynamic security assessment with spatial-temporal dynamic visualization using random bits forest S Liu, L Liu, N Yang, D Mao, L Zhang, J Cheng, T Xue, L Liu, G Yan, L Qiu, ... International Journal of Electrical Power & Energy Systems 124, 106316, 2021 | 33 | 2021 |
| Multi-lateral participants decision-making: A distribution system planning approach with incomplete information game Y Liu, N Yang, B Dong, L Wu, J Yan, X Shen, C Xing, S Liu, Y Huang IEEE Access 8, 88933-88950, 2020 | 33 | 2020 |
| 计及大规模风电和柔性负荷的电力系统供需侧联合随机调度方法 杨楠， 王波， 刘涤尘， 赵洁， 王贺 中国电机工程学报 33 (16), 63-69, 17, 2013 | 32 | 2013 |
| Research on the joint planning method of electricity-gas integrated energy system based on multi-agent game N Yang, Y Huang, B Dong, P Xin, S Liu, D Ye, HS Li Proceedings of the CSEE 39 (22), 6521-6532, 2019 | 30 | 2019 |
| An improved robust SCUC approach considering multiple uncertainty and correlation N Yang, S Liu, Y Deng, C Xing IEEJ Transactions on Electrical and Electronic Engineering 16 (1), 21-34, 2021 | 27 | 2021 |
| Research on data-driven intelligent security-constrained unit commitment dispatching method with self-learning ability Y Nan, YE Di, LIN Jie, H Yu, D Bang-tian, HU Wen-bin, LIU Song-kai Proceedings of the CSEE 39 (10), 2934-2946, 2019 | 27 | 2019 |
| 考虑柔性负荷调峰的大规模风电随机优化调度方法 杨楠， 王波， 刘涤尘， 赵洁， 王贺 电工技术学报 28 (11), 231-238, 2013 | 27 | 2013 |
| 核电机组参与电网调峰的运行方式及效益分析 赵洁， 刘涤尘， 杨楠， 孙文涛， 王强 电网技术 36 (12), 250-255, 2012 | 26 | 2012 |
| Probability distribution of wind power volatility based on the moving average method and improved nonparametric kernel density estimation P Xin, Y Liu, N Yang, X Song, Y Huang Global Energy Interconnection 3 (3), 247-258, 2020 | 24 | 2020 |
| Research on nonparametric kernel density estimation for modeling of wind power probability characteristics based on fuzzy ordinal optimization Y Nan, C Jiazhan, Z Zheng Power System Technology 40 (2), 335-340, 2016 | 22 | 2016 |