Follow
Xin Shi
Title
Cited by
Cited by
Year
Spatio-temporal correlation analysis of online monitoring data for anomaly detection and location in distribution networks
X Shi, R Qiu, Z Ling, F Yang, H Yang, X He
IEEE Transactions on Smart Grid 11 (2), 995-1006, 2019
632019
Detection and classification of transmission line transient faults based on graph convolutional neural network
H Tong, RC Qiu, D Zhang, H Yang, Q Ding, X Shi
CSEE Journal of Power and Energy Systems 7 (3), 456-471, 2021
502021
Improving power system state estimation based on matrix-level cleaning
H Yang, RC Qiu, L Chu, T Mi, X Shi, CM Liu
IEEE Transactions on Power Systems 35 (5), 3529-3540, 2020
302020
Unsupervised feature learning for online voltage stability evaluation and monitoring based on variational autoencoder
H Yang, RC Qiu, X Shi, X He
Electric Power Systems Research 182, 106253, 2020
282020
Transformer fault diagnosis based on deep auto-encoder network
X Shi, Y Zhu, X Ning, L Wang, G Sun, G Chen
Electric Power Automation Equipment 36 (5), 122-126, 2016
262016
Power transformer fault classifying model based on deep belief network [J]
S Xin, Z Yongli, S Churila
Power System Protection and Control 44 (1), 71-76, 2016
262016
Monitoring data factorization of high renewable energy penetrated grids for probabilistic static voltage stability assessment
H Yang, X Shi, RC Qiu, X He, Q Ai, Z Wang
IEEE Transactions on Smart Grid 13 (2), 1273-1286, 2021
192021
Adversarial feature learning of online monitoring data for operational risk assessment in distribution networks
X Shi, R Qiu, T Mi, X He, Y Zhu
IEEE Transactions on Power Systems 35 (2), 975-985, 2019
182019
Early anomaly detection and localisation in distribution network: A data‐driven approach
X Shi, R Qiu, X He, Z Ling, H Yang, L Chu
IET Generation, Transmission & Distribution 14 (18), 3814-3825, 2020
172020
深度学习神经网络在电力变压器故障诊断中的应用
石鑫, 朱永利
电力建设, 116-122, 2015
152015
人工智能在电力系统中应用的近期研究热点介绍
朱永利, 石鑫, 王刘旺
发电技术 39 (3), 204-212, 2018
132018
基于深度信念网络的电力变压器故障分类建模
石鑫, 朱永利, 王刘旺, 孙岗
电力系统保护与控制 44 (1), 71-76, 2016
132016
Application of deep learning neural network in fault diagnosis of power transformer
X Shi, Y Zhu
Electric Power Construction 36 (12), 116-122, 2015
122015
Effect of cap-assisted esophagogastroduodenoscopy on examination of the major duodenal papilla: a noninferior, randomized controlled trial
X Shi, H Luo, B Ning, X Wang, Q Tao, S Liang, R Zhang, J Chen, B Luo, ...
Endoscopy 51 (05), 427-435, 2019
102019
Co-optimization of building energy systems with renewable generations combining active and passive energy-saving
Z Wu, X Shi, F Fang, G Wen, Y Mi
Applied Energy 351, 121514, 2023
92023
Anomaly detection and location in distribution networks: A data-driven approach
X Shi, R Qiu, X He, L Chu, Z Ling, H Yang
arXiv preprint 1801, 2018
72018
Dimensionality increment of PMU data for anomaly detection in low observability power systems
X Shi, R Qiu
arXiv preprint arXiv:1910.08696, 2019
62019
深度学习在电网图像数据及时空数据中的应用综述
张宇航, 邱才明, 杨帆, 徐舒玮, 石鑫, 贺兴
电网技术 43 (6), 1865-1873, 2019
62019
基于输电线路监测的无线传感器网络路由优化技术研究
李天, 石鑫, 李永倩
电测与仪表 52 (21), 6-10, 2015
62015
Application of deep learning neural network in fault diagnosis of power transformer [J]
S Xin, Z Yongli
Electric Power Construction 36 (12), 116-122, 2015
52015
The system can't perform the operation now. Try again later.
Articles 1–20