Xinying Wang

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Min HanDalian University of TechnologyCorreu electrònic verificat a dlut.edu.cn
Yingyun Sun(孙英云）North China Electric Power UniversityCorreu electrònic verificat a ncepu.edu.cn
Hongjie JiaSchool of Electrical and Information Engineering, Tianjin UniversityCorreu electrònic verificat a tju.edu.cn
Yunfei MuSchool of Electrical Engineering&Automation, Tianjin UniversityCorreu electrònic verificat a tju.edu.cn
刘凤魁中国电力科学研究院Correu electrònic verificat a epri.sgcc.com.cn
Haolin LiPh.D. student, Northeastern universityCorreu electrònic verificat a northeastern.edu
Xiaoxin LiuPostdoc, Peking UniversityCorreu electrònic verificat a wustl.edu
Zhicheng LiuTianjin UniversityCorreu electrònic verificat a tju.edu.cn
Chao Qiu天津大学副教授Correu electrònic verificat a tju.edu.cn
Kang MaUniversity of BathCorreu electrònic verificat a bath.ac.uk
ran liShanghai Jiao Tong University；University of BathCorreu electrònic verificat a sjtu.edu.cn
Junjie Hu (胡俊杰 NCEPU, Beijing, Chi...Professor, North China Electric Power UniversityCorreu electrònic verificat a ncepu.edu.cn
Sarmad Majeed MalikNational University of Sciences and Technology, IslamabadCorreu electrònic verificat a ceme.nust.edu.pk
Qian XiaoTianjin University, Associate ProfessorCorreu electrònic verificat a tju.edu.cn
Xiaofei WangProfessor - Tianjin UniversityCorreu electrònic verificat a tju.edu.cn
Duo FangInstitute for Energy System, University of EdinburghCorreu electrònic verificat a ed.ac.uk
Sasa DjokicThe University of EdinburghCorreu electrònic verificat a ed.ac.uk
Gareth P HarrisonUniversity of EdinburghCorreu electrònic verificat a ed.ac.uk
Siyang LiaoWuhan UniversityCorreu electrònic verificat a whu.edu.cn
徐箭Wuhan University, The School of Electrical EngineeringCorreu electrònic verificat a whu.edu.cn

Segueix

Xinying Wang

China Electric Power Research Institute

Correu electrònic verificat a epri.sgcc.com.cn

Neural Network Machine Learning Big Data Smart Grid Energy Internet


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Online sequential extreme learning machine with kernels for nonstationary time series prediction X Wang, M Han Neurocomputing 145, 90-97, 2014	221	2014
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	75	2018
Improved extreme learning machine for multivariate time series online sequential prediction X Wang, M Han Engineering Applications of Artificial Intelligence 40, 28-36, 2015	75	2015
Research and application of artificial intelligence in operation and maintenance for power equipment T Pu, J Qiao, X Han, GB Zhang, XY Wang High Voltage Engineering 46 (2), 369-383, 2020	53	2020
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 (2), 447-458, 2022	38	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	33	2020
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	33	2016
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	32	2021
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	32*	2012
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	30	2020
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), 70504-070504, 2015	28*	2015
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	28	2014
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	22	2019
能源互联网数字孪生系统框架设计及应用展望蒲天骄，陈盛，赵琦，王新迎，张东霞中国电机工程学报 41 (6), 2012-2028, 2021	20	2021
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	19	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
Power flow adjustment for smart microgrid based on edge computing and multi-agent deep reinforcement learning T Pu, X Wang, Y Cao, Z Liu, C Qiu, J Qiao, S Zhang Journal of Cloud Computing 10, 1-13, 2021	17	2021
Load shedding control strategy in power grid emergency state based on deep reinforcement learning J Li, S Chen, X Wang, T Pu CSEE Journal of Power and Energy Systems 8 (4), 1175-1182, 2021	17	2021
面向能源互联网数字孪生的电力物联网关键技术及展望赵鹏，蒲天骄，王新迎，韩笑中国电机工程学报 42 (2), 447-457, 2022	16	2022
Optimal dispatch of integrated electricity-gas system with soft actor-critic deep reinforcement learning [J] Q Ji, W Xinying, Z Qing, Z Dong-Xia, P Tian-Jiao Proceedings of the CSEE 41 (3), 819-832, 2021	16	2021

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