| Online sequential extreme learning machine with kernels for nonstationary time series prediction X Wang, M Han Neurocomputing 145, 90-97, 2014 | 211 | 2014 |
| Improved extreme learning machine for multivariate time series online sequential prediction X Wang, M Han Engineering Applications of Artificial Intelligence 40, 28-36, 2015 | 71 | 2015 |
| A decision making strategy for generating unit tripping under emergency circumstances based on deep reinforcement learning W Liu, D Zhang, X Wang, J Hou, L Liu Proceedings of the CSEE 38 (1), 109-119, 2018 | 59 | 2018 |
| Power system transient stability analysis based on random matrix theory W Liu, D Zhang, X Wang, D Liu, Q Wu Proc. CSEE 36 (18), 4854-4863, 2016 | 30 | 2016 |
| Research and application of artificial intelligence in operation and maintenance for power equipment P Tianjiao, Q Ji, H Xiao, Z Guobin, W Xinying High Voltage Engineering 46 (2), 369-383, 2020 | 26 | 2020 |
| Multivariate time series prediction based on multiple kernel extreme learning machine X Wang, M Han 2014 International joint conference on neural networks (IJCNN), 198-201, 2014 | 26 | 2014 |
| 基于极端学习机的多变量混沌时间序列预测 王新迎， 韩敏 物理学报 61 (8), 97-105, 2012 | 24* | 2012 |
| 多元混沌时间序列的多核极端学习机建模预测 王新迎， 韩敏 物理学报 64 (7), 070504-1, 2015 | 23* | 2015 |
| Renewable scenario generation using controllable generative adversarial networks with transparent latent space J Qiao, T Pu, X Wang CSEE Journal of Power and Energy Systems 7 (1), 66-77, 2020 | 20 | 2020 |
| Online multivariate time series prediction using SCKF-γESN model M Han, M Xu, X Liu, X Wang Neurocomputing 147, 315-323, 2015 | 18 | 2015 |
| Analysis of users’ electricity consumption behavior based on ensemble clustering Q Zhao, H Li, X Wang, T Pu, J Wang Global Energy Interconnection 2 (6), 479-488, 2019 | 17 | 2019 |
| Key technologies and perspectives of power internet of things facing with digital twins of the energy internet P Zhao, TJ Pu, XY Wang, X Han Proceedings of the CSEE 42 (02), 447-457, 2022 | 15 | 2022 |
| Preventive control for power system transient security based on XGBoost and DCOPF with consideration of model interpretability S Zhang, D Zhang, J Qiao, X Wang, Z Zhang CSEE Journal of Power and Energy Systems 7 (2), 279-294, 2020 | 14 | 2020 |
| 人工智能技术在电力设备运维检修中的研究及应用 蒲天骄， 乔骥， 韩笑， 张国宾， 王新迎 高电压技术 46 (2), 369-383, 2020 | 13 | 2020 |
| Spatio-temporal convolutional network based power forecasting of multiple wind farms X Dong, Y Sun, Y Li, X Wang, T Pu Journal of Modern Power Systems and Clean Energy 10 (2), 388-398, 2021 | 11 | 2021 |
| Framework and key technologies of knowledge-graph-based fault handling system in power grid [J] Q Ji, W Xinying, M Rui, B Shuhua, Y Dong Proceedings of the CSEE 40 (18), 5837-5849, 2020 | 11 | 2020 |
| Digital Twin Modeling for Photovoltaic Panels Based on Hybrid Neural Network G Zhang, X Wang 2021 IEEE 1st International Conference on Digital Twins and Parallel …, 2021 | 10 | 2021 |
| 多元时间序列的子空间回声状态网络预测模型 韩敏， 许美玲， 王新迎 计算机学报 37 (011), 2268-2275, 2014 | 10* | 2014 |
| Deep reinforcement learning approach for autonomous agents in consumer-centric electricity market Y Liu, D Zhang, C Deng, X Wang 2020 5th IEEE International Conference on Big Data Analytics (ICBDA), 37-41, 2020 | 9 | 2020 |
| 基于深度强化学习的电网紧急控制策略研究 刘威， 张东霞， 王新迎， 侯金秀， 刘丽平 中国电机工程学报 38 (1), 109-119, 2018 | 9 | 2018 |
Min HanDalian University of TechnologyVerified email at dlut.edu.cn
