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 | 74 | 2019 |
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 | 72 | 2021 |
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 | 36 | 2017 |
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 | 33 | 2020 |
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 | 33 | 2020 |
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 | 31 | 2019 |
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 | 29 | 2016 |
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 | 28 | 2019 |
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 | 27 | 2016 |
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 | 25 | 2023 |
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 | 25 | 2021 |
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 | 22 | 2019 |
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 | 19 | 2020 |
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 | 18 | 2015 |
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 | 17 | 2016 |
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 | 14 | 2019 |
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 | 13 | 2018 |
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 | 12 | 2023 |
Application of deep learning neural network in fault diagnosis of power transformer X Shi, Y Zhu Electric Power Construction 36 (12), 116-122, 2015 | 12 | 2015 |
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 | 11 | 2023 |