Zhaoyu Wang

Assistant Professor

Iowa State University

United States

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About

Dr. Zhaoyu Wang is an Assistant Professor at Iowa State University in the United States. His research focuses on the integration of artificial intelligence and big data in sustainable energy systems, with recent publications addressing topics such as solar-powered electric vehicles, resilient microgrids, and distribution system restoration strategies. Dr. Wang's work is dedicated to enhancing the resilience and reliability of power systems through innovative, data-driven approaches.

Articles (20)

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2025

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2023

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2023

Collaborators (6)

Zixiao Ma

University of Washington

UNITED STATES

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Leigh Tesfatsion

Research Professor of Economics; Courtesy Research Professor of Electrical & Computer Engineering

Iowa State University

UNITED STATES

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Qianzhi Zhang

Iowa State University

UNITED STATES

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Fankun Bu

Iowa State University

UNITED STATES

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Chen-Ching Liu

Virginia Polytechnic Institute and State University

UNITED STATES

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Mathaios Panteli

CYPRUS

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Zhaoyu Wang

Research Interests

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About

Articles (20)

Artificial Intelligence and Big Data for Planning, Operating, and Restoring Sustainable Distribution Systems: Pioneering the Future of Sustainable Grids Through Data-Driven Intelligence

Integrating solar-powered electric vehicles into sustainable energy systems

Remote Islanded Microgrid: A feasible and economical solution for providing resilience and reliability to power systems in rural areas

Electric Vehicle Charging Planning: A Complex Systems Perspective

Enhancing Resilience of Urban Electric-Road-Metro Interdependent Network Considering Electric Bus Scheduling

Uncertainty-Inflicted Event-Driven Resilient Recovery for Distribution Systems: A Semi-Markov Decision Process Approach

Distribution System Blackstart and Restoration Using DERs and Dynamically Formed Microgrids

Integrated Framework of Multisource Data Fusion for Outage Location in Looped Distribution Systems

Probabilistic Estimation of PV Hosting Capacity in DER-Rich Feeders Using Smart Meter Data

Resilient Preparation and Restoration Strategy for Integrated Electric-Gas Distribution Systems Considering Mobile Energy Storage

Active Distribution System Synthesis via Unbalanced Graph Generative Adversarial Network

Safe and Stable Secondary Voltage Control of Microgrids Based on Explicit Neural Networks

Automatic Self-Adaptive Local Voltage Control Under Limited Reactive Power

Guest Editorial Special Section on Sustainable Energy for Enhancing Grid Resiliency

A Consensus-Based Transactive Energy Design for Unbalanced Distribution Networks

A Joint Distribution System State Estimation Framework via Deep Actor-Critic Learning Method

A Two-Layer Approach for Estimating Behind-the-Meter PV Generation Using Smart Meter Data

Learning Latent Interactions for Event Classification via Graph Neural Networks and PMU Data

A Data-driven Framework for Power System Event Type Identification via Safe Semi-supervised Techniques

Analytical Large-Signal Modeling of Inverter-based Microgrids With Koopman Operator Theory for Autonomous Control

Collaborators (6)

Zixiao Ma

Leigh Tesfatsion

Qianzhi Zhang

Fankun Bu

Chen-Ching Liu

Mathaios Panteli

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