Qiuhua Huang

Orcid: 0000-0001-8457-7429

According to our database¹, Qiuhua Huang authored at least 36 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Quantifying and Predicting Residential Building Flexibility Using Machine Learning Methods.

[BibT_eX]

[DOI]

Patrick Salter

Qiuhua Huang

Paulo Cesar Tabares-Velasco

CoRR, 2024

2023

A Guided Evolutionary Strategy Based-Static Var Compensator Control Approach for Interarea Oscillation Damping.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, March, 2023

Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations.

[BibT_eX]

[DOI]

CoRR, 2023

Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control.

[BibT_eX]

[DOI]

CoRR, 2023

Smart Sampling-based Scenario Selection for Real Power System Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

2022

Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning.

[BibT_eX]

[DOI]

Hao-Lun Hsu

Qiuhua Huang

Sehoon Ha

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Physics Informed Reinforcement Learning for Power Grid Control using Augmented Random Search.

[BibT_eX]

[DOI]

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Safe Reinforcement Learning for Grid Voltage Control.

[BibT_eX]

[DOI]

CoRR, 2021

Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to run a power network with trust.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Component Importance and Interdependence Analysis for Transmission, Distribution and Communication Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

A Learning-Based Power Management Method for Networked Microgrids Under Incomplete Information.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Adaptive Power System Emergency Control Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Safe Reinforcement Learning for Emergency LoadShedding of Power Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Achieving Disaster-Resilient Distribution Systems via Emergency Response Resources: A Practical Approach.

[BibT_eX]

[DOI]

CoRR, 2020

Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control.

[BibT_eX]

[DOI]

CoRR, 2020

Flexibility Management in Economic Dispatch with Dynamic Automatic Generation Control.

[BibT_eX]

[DOI]

CoRR, 2020

Hybrid EMT-TS Simulation Strategies to Study High Bandwidth MMC-Based HVdc Systems.

[BibT_eX]

[DOI]

Mallikarjuna R. Vallem

Harold Kirkham

Nader A. Samaan

CoRR, 2020

A Nonlinear Regression Method for Composite Protection Modeling of Induction Motor Loads.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

Automated Realistic Testbed Synthesis for Power System Communication Networks based on Graph Metrics.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019

Adaptive Power System Emergency Control using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Detailed Modeling of Residential End-Use Motor Load and Protection for Distribution System Transient Study.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

Big Data Analytic for Cascading Failure Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Generation of composite load protection profiles for reliable system operation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Advanced EMT and Phasor-Domain Hybrid Simulation with Simulation Mode Switching Capability for Transmission and Distribution Systems.

[BibT_eX]

[DOI]

Qiuhua Huang

Vijay Vittal

CoRR, 2017

InterPSS: A New Generation Power System Simulation Engine.

[BibT_eX]

[DOI]

Mike Zhou

Qiuhua Huang

CoRR, 2017

A Comparative Study of Interface Techniques for Transmission and Distribution Dynamic Co-Simulation.

[BibT_eX]

[DOI]

CoRR, 2017

A Reference Implementation of WECC Composite Load Model in Matlab and GridPACK.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Inspection of Spatial-Temporal Behavior of Backpackers in Beijing Based on Trajectory.

[BibT_eX]

[DOI]

Qiuhua Huang

Linyuan Xia

Wirel. Pers. Commun., 2016

2014

An Enhanced Hybrid LBS and Its Prototype for Supporting Backpackers in Beijing.

[BibT_eX]

[DOI]

Qiuhua Huang

Linyuan Xia

Dongjin Wu

Wirel. Pers. Commun., 2014

Qiuhua Huang

Timeline

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On csauthors.net:

Bibliography

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