David Wenzhong Gao

Professor

University of Denver

United States

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About

David Wenzhong Gao is a Professor at the University of Denver, USA. His research areas encompass power quality enhancement, dynamic modeling for electricity-gas systems, and innovative strategies for energy procurement and storage. Recent publications include studies on integrating edge and cloud intelligence in health systems, along with applications of game theory in peer-to-peer energy storage and optimal renewable energy allocation.

Articles (20)

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2025

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2022

Collaborators (5)

Eduard Muljadi

J. J. Danaher Distinguished Professor

Auburn University

UNITED STATES

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Sabita Maharjan

Professor

University of Oslo

NORWAY

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Dali Sun

North Dakota State University

UNITED STATES

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wei gao

University of Denver

UNITED STATES

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Yushuai Li

University of Oslo

NORWAY

View details

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David Wenzhong Gao

Research Interests

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About

Articles (20)

Parallel Medical Devices and Instruments: Integrating Edge and Cloud Intelligence for Smart Treatment and Health Systems

Power quality enhancement by mitigating load imbalance from random electric vehicle fleet at electric vehicle charging stations

Dynamic Modeling and Analysis for Electricity-Gas Systems With Electric-Driven Compressors

A risk-based procurement strategy for the charging station operator in electricity markets considering multiple uncertainties

Game theory-based peer-to-peer energy storage sharing for multiple bus charging stations: A real-time distributed cooperative framework

Optimal allocation of hybrid renewable energy sources using progressive L-index method for voltage stability margin enhancement and impact of storage devices

A Meta-Strategy Framework With Deep Reinforcement Learning for Damping Interarea Oscillation via High-Voltage DC Transmission

Blockchain and Federated Learning in P2P Energy Trading: Privacy Protection and Prosumer Incentives

Deep Reinforcement Learning Based Control of Wind Turbines for Fast Frequency Response

Digital Twin Assisted Economic Dispatch for Energy Internet With Information Entropy

Cooperative Output Regulation of Large-Scale Wind Turbines for Power Reserve Control

Distributed Hybrid-Triggering-Based Secure Dispatch Approach for Smart Grid Against DoS Attacks

High-Performance Perception: A camera-based approach for smart autonomous electric vehicles in smart cities

An Improved Interpolated DFT-Based Parameter Identification for Sub-/Super-Synchronous Oscillations With Synchrophasors

A Multi-Rate Dynamic Energy Flow Analysis Method for Integrated Electricity-Gas-Heat System With Different Time-Scale

Distributed Resilient Initialization-Free Jacobi Descent Algorithm for Constrained Optimization Against DoS Attacks

Switched Surplus-Based Distributed Security Dispatch for Smart Grid With Persistent Packet Loss

A Switched Newton–Raphson-Based Distributed Energy Management Algorithm for Multienergy System Under Persistent DoS Attacks

Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM

Marginal Cost-Based Reactive Power Reinforcement Using Dynamic and Static Compensators

Collaborators (5)

Eduard Muljadi

Sabita Maharjan

Dali Sun

wei gao

Yushuai Li

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