Следене
Xin Shi
Xin Shi
Center for Big Data Engineering Technology, Shanghai Jiao Tong University
Потвърден имейл адрес: sjtu.edu.cn
Заглавие
Позовавания
Позовавания
Година
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
742019
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
722021
A short-term load forecasting based on LSTM neural network
YH Zhang, CM Qiu, X He, ZN Ling, X Shi
Electric power information and communication technology 15 (9), 19-25, 2017
362017
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
332020
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
332020
Overview of application of deep learning with image data and spatio-temporal data of power grid [J]
Z Yuhang, R Qiu, Y Fan, XU Shuwei, SHI Xin
Power System Technology 43 (6), 1865-1873, 2019
312019
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
292016
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
282019
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
272016
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
252023
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
252021
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
222019
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
192020
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
182015
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
172016
Overview of application of deep learning with image data and spatio-temporal data of power grid
Y Zhang, CM Qiu, F Yang, SW Xu, X Shi, X He
Power System Technology 43 (6), 1865-1873, 2019
142019
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, 2018
132018
Research on Two-stage Optimization Approach of Community Integrated Energy System Considering Load Supply Reliability
K Meng, Y ZHONG, SHI Xin, WEN Gangcheng, F Fang
Power Generation Technology 44 (1), 25, 2023
122023
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
计及负荷供给可靠性的园区综合能源系统两阶段优化方法研究
亢猛, 钟祎勍, 石鑫, 温港成, 房方
发电技术 44 (1), 25, 2023
112023
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