Xing He
Orcid: 0000-0002-2527-7423Affiliations:
- Shanghai Jiaotong University, State Energy Smart Grid Research and Development Center, China
According to our database1,
Xing He
authored at least 16 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Redefinition of Digital Twin and Its Situation Awareness Framework Designing Toward Fourth Paradigm for Energy Internet of Things.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024
Redefinition of Digital Twin and its Situation Awareness Framework Designing Towards Fourth Paradigm for Energy Internet of Things.
CoRR, 2024
2023
Situation Awareness of Energy Internet of Things in Smart City Based on Digital Twin: From Digitization to Informatization.
IEEE Internet Things J., 2023
2022
Monitoring Data Factorization of High Renewable Energy Penetrated Grids for Probabilistic Static Voltage Stability Assessment.
IEEE Trans. Smart Grid, 2022
Blind False Data Injection Attacks Against State Estimation Based on Matrix Reconstruction.
IEEE Trans. Smart Grid, 2022
Proceedings of the Smart Grid and Internet of Things - 6th EAI International Conference, 2022
2021
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location.
IEEE Trans. Big Data, 2021
2020
Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks.
IEEE Trans. Smart Grid, 2020
2019
CoRR, 2019
2018
Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test.
IEEE Trans. Big Data, 2018
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images.
CoRR, 2018
A Novel Data-Driven Situation Awareness Approach for Future Grids - Using Large Random Matrices for Big Data Modeling.
IEEE Access, 2018
2017
IEEE Trans. Smart Grid, 2017
IEEE Trans. Smart Grid, 2017
2016
Designing for Situation Awareness of Future Power Grids: An Indicator System Based on Linear Eigenvalue Statistics of Large Random Matrices.
IEEE Access, 2016
2015
An Unsupervised Learning Method for Early Event Detection in Smart Grid with Big Data.
CoRR, 2015