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Xinying Wang
Xinying Wang
China Electric Power Research Institute
Verified email at epri.sgcc.com.cn
Title
Cited by
Cited by
Year
Online sequential extreme learning machine with kernels for nonstationary time series prediction
X Wang, M Han
Neurocomputing 145, 90-97, 2014
2182014
Improved extreme learning machine for multivariate time series online sequential prediction
X Wang, M Han
Engineering Applications of Artificial Intelligence 40, 28-36, 2015
752015
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
742018
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
512020
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
352022
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
322020
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
322016
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
292020
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
282014
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
272021
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
212019
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
182021
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
182020
Online multivariate time series prediction using SCKF-γESN model
M Han, M Xu, X Liu, X Wang
Neurocomputing 147, 315-323, 2015
182015
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
172021
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
152022
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
152021
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, P Tianjiao
Proceedings of the CSEE 40 (18), 5837-5849, 2020
152020
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