Van-Hai Bui

Orcid: 0009-0002-4565-4780

According to our database1, Van-Hai Bui authored at least 23 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Reinforcement Learning-Based Integrated Control to Improve the Efficiency of DC Microgrids.
IEEE Trans. Smart Grid, January, 2024

A Critical Review of Safe Reinforcement Learning Techniques in Smart Grid Applications.
CoRR, 2024

Optimizing the Transaction Latency in the Blockchain-Integrated Energy-Trading Platform in the Standalone Renewable Distributed Generation Arena.
IEEE Access, 2024

Fast Accurate Phasor Estimation in Less than One Cycle using Neural Networks.
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024

2023
Emerging 6G/B6G Wireless Communication for the Power Infrastructure in Smart Cities: Innovations, Challenges, and Future Perspectives.
Algorithms, 2023

A Decentralized Dynamic Pricing Model for Demand Management of Electric Vehicles.
IEEE Access, 2023

Deep Reinforcement Learning-Based Optimal Parameter Design of Power Converters.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

2022
A Dynamic Internal Trading Price Strategy for Networked Microgrids: A Deep Reinforcement Learning-Based Game-Theoretic Approach.
IEEE Trans. Smart Grid, 2022

Optimal Design Parameters for Hybrid DC Circuit Breakers Using a Multi-Objective Genetic Algorithm.
Algorithms, 2022

Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning.
IEEE Access, 2022

2020
Double Deep Q-Learning-Based Distributed Operation of Battery Energy Storage System Considering Uncertainties.
IEEE Trans. Smart Grid, 2020

An Effort-Based Reward Approach for Allocating Load Shedding Amount in Networked Microgrids Using Multiagent System.
IEEE Trans. Ind. Informatics, 2020

Distributed Operation of Wind Farm for Maximizing Output Power: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Access, 2020

Consensus Algorithm-Based Distributed Operation of Microgrids During Grid-Connected and Islanded Modes.
IEEE Access, 2020

2019
Resilience-Oriented Optimal Operation of Networked Hybrid Microgrids.
IEEE Trans. Smart Grid, 2019

Optimal Operation of Wind Farm for Reducing Power Deviation Considering Grid-Code Constraints and Events.
IEEE Access, 2019

2018
A Resilient and Privacy-Preserving Energy Management Strategy for Networked Microgrids.
IEEE Trans. Smart Grid, 2018

A Multiagent-Based Hierarchical Energy Management Strategy for Multi-Microgrids Considering Adjustable Power and Demand Response.
IEEE Trans. Smart Grid, 2018

A Proactive and Survivability-Constrained Operation Strategy for Enhancing Resilience of Microgrids Using Energy Storage System.
IEEE Access, 2018

Robust Optimal Operation of AC/DC Hybrid Microgrids Under Market Price Uncertainties.
IEEE Access, 2018

Demand Response for Enhancing Survivability of Microgrids During Islanded Operation.
Proceedings of the TENCON 2018, 2018

Diffusion Strategy-Based Distributed Optimization for Operation of Multi-Microgrid System.
Proceedings of the TENCON 2018, 2018

2016
Impact Quantification of Demand Response Uncertainty on Unit Commitment of Microgrids.
Proceedings of the International Conference on Frontiers of Information Technology, 2016


  Loading...