Huaiguang Jiang

Orcid: 0000-0002-0634-3085

According to our database1, Huaiguang Jiang authored at least 24 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Real-Time Robust State Estimation for Large-Scale Low-Observability Power-Transportation System Based on Meta Physics-Informed Graph TimesNet.
IEEE Trans. Smart Grid, November, 2024

Two-Step Diffusion Policy Deep Reinforcement Learning Method for Low-Carbon Multi-Energy Microgrid Energy Management.
IEEE Trans. Smart Grid, September, 2024

Towards Variable and Coordinated Holistic Co-Speech Motion Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Bilevel Hybrid Genetic Algorithm for Capacitated Electric Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2022
A Fast and Accurate Transient Stability Assessment Method Based on Deep Learning: WECC Case Study.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

2021
Donald J. Trump's Presidency in Cyberspace: A Case Study of Social Perception and Social Influence in Digital Oligarchy Era.
IEEE Trans. Comput. Soc. Syst., 2021

Applications of Digital Twin System in a Smart City System with Multi-Energy.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020
Solar Irradiance Capturing in Cloudy Sky Days-A Convolutional Neural Network Based Image Regression Approach.
IEEE Access, 2020

A Review on Artificial Intelligence for Grid Stability Assessment.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Multi-Timescale Three-Phase Unbalanced Distribution System Operation With Variable Renewable Generations.
IEEE Trans. Smart Grid, 2019

2018
A Short-Term and High-Resolution Distribution System Load Forecasting Approach Using Support Vector Regression With Hybrid Parameters Optimization.
IEEE Trans. Smart Grid, 2018

2017
Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch.
IEEE Intell. Syst., 2017

Power-Traffic Coordinated Operation for Bi-Peak Shaving and Bi-Ramp Smoothing -A Hierarchical Data-Driven Approach.
CoRR, 2017

Short-term state forecasting-based optimal voltage regulation in distribution systems.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Chance-constrained day-ahead hourly scheduling in distribution system operation.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Load forecasting based distribution system network reconfiguration - A distributed data-driven approach.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Spatial-Temporal Synchrophasor Data Characterization and Analytics in Smart Grid Fault Detection, Identification, and Impact Causal Analysis.
IEEE Trans. Smart Grid, 2016

2015
Synchrophasor-Based Auxiliary Controller to Enhance the Voltage Stability of a Distribution System With High Renewable Energy Penetration.
IEEE Trans. Smart Grid, 2015

An overview of recent advances on distributed and agile sensing algorithms and implementation.
Digit. Signal Process., 2015

2014
Fault Detection, Identification, and Location in Smart Grid Based on Data-Driven Computational Methods.
IEEE Trans. Smart Grid, 2014

Spatial-temporal characterization of synchrophasor measurement systems - A big data approach for smart grid system situational awareness.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Statistical scheduling of economic dispatch and energy reserves of hybrid power systems with high renewable energy penetration.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Time-frequency analysis of brain electrical Signals for behvior recognition in patients with Parkinson's disease.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Fault localization in Smart Grid using wavelet analysis and unsupervised learning.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012


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