Xing He

Orcid: 0000-0002-2527-7423

Affiliations:

Shanghai Jiaotong University, State Energy Smart Grid Research and Development Center, China

According to our database¹, Xing He authored at least 14 papers between 2015 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

Situation Awareness of Energy Internet of Things in Smart City Based on Digital Twin: From Digitization to Informatization.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2023

2022

Monitoring Data Factorization of High Renewable Energy Penetrated Grids for Probabilistic Static Voltage Stability Assessment.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2022

Blind False Data Injection Attacks Against State Estimation Based on Matrix Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2022

Combined Short-Term Load Forecasting Method Based on HHT.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2021

2020

Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

2019

Data-driven Estimation of the Power Flow Jacobian Matrix in High Dimensional Space.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2018

A Novel Data-Driven Situation Awareness Approach for Future Grids - Using Large Random Matrices for Big Data Modeling.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

A Correlation Analysis Method for Power Systems Based on Random Matrix Theory.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2017

A Big Data Architecture Design for Smart Grids Based on Random Matrix Theory.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Access, 2016

2015

An Unsupervised Learning Method for Early Event Detection in Smart Grid with Big Data.

[BibT_eX]

[DOI]

CoRR, 2015

Xing He

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