Zhaoyu Wang

Zhaoyu Wang

Iowa State University

H-index: 47

North America-United States

About Zhaoyu Wang

Zhaoyu Wang, With an exceptional h-index of 47 and a recent h-index of 43 (since 2020), a distinguished researcher at Iowa State University, specializes in the field of Power Distribution Systems, Microgrids, Renewable Integration, Power System Data Analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Resilience assessment and planning in power distribution systems: Past and future considerations

Data-driven affinely adjustable robust Volt/VAr control

A data-driven framework for power system event type identification via safe semi-supervised techniques

Guest Editorial Special Section on Sustainable Energy for Enhancing Grid Resiliency

The most frequent Nk line outages occur in motifs that can improve contingency selection

Tractable data enriched distributionally robust chance-constrained conservation voltage reduction

Safe and stable secondary voltage control of microgrids based on explicit neural networks

Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles

Zhaoyu Wang Information

University

Position

Harpole-Pentair Assistant Professor

Citations(all)

9151

Citations(since 2020)

7428

Cited By

4250

hIndex(all)

47

hIndex(since 2020)

43

i10Index(all)

104

i10Index(since 2020)

97

Email

University Profile Page

Google Scholar

Zhaoyu Wang Skills & Research Interests

Power Distribution Systems

Microgrids

Renewable Integration

Power System Data Analytics

Top articles of Zhaoyu Wang

Resilience assessment and planning in power distribution systems: Past and future considerations

2024/1/1

Data-driven affinely adjustable robust Volt/VAr control

IEEE Transactions on Smart Grid

2023/4/25

A data-driven framework for power system event type identification via safe semi-supervised techniques

IEEE Transactions on Power Systems

2023/4/10

Guest Editorial Special Section on Sustainable Energy for Enhancing Grid Resiliency

IEEE Transactions on Sustainable Energy

2023/3/22

The most frequent Nk line outages occur in motifs that can improve contingency selection

IEEE Transactions on Power Systems

2023/2/27

Tractable data enriched distributionally robust chance-constrained conservation voltage reduction

IEEE Transactions on Power Systems

2023/2/14

Safe and stable secondary voltage control of microgrids based on explicit neural networks

IEEE Transactions on Smart Grid

2023/1/24

Qianzhi Zhang
Qianzhi Zhang

H-Index: 5

Zhaoyu Wang
Zhaoyu Wang

H-Index: 29

Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles

IEEE Transactions on Power Systems

2023/1/12

Automatic self-adaptive local voltage control under limited reactive power

IEEE Transactions on Smart Grid

2022/11/24

Rui Cheng
Rui Cheng

H-Index: 1

Zhaoyu Wang
Zhaoyu Wang

H-Index: 29

Analyzing Impact of BESS Allocation on Hosting Capacity in Distribution Networks

2022/10/9

Active distribution system synthesis via unbalanced graph generative adversarial network

IEEE Transactions on Power Systems

2022/10/5

A systematic review on power system resilience from the perspective of generation, network, and load

2022/10/1

Fast admm-based hierarchical and decentralized volt/var control in distribution networks

2022/7/17

Rui Cheng
Rui Cheng

H-Index: 1

Zhaoyu Wang
Zhaoyu Wang

H-Index: 29

A sequential black-start restoration model for resilient active distribution networks

IEEE Transactions on Power Systems

2022/4/4

A two-layer approach for estimating behind-the-meter PV generation using smart meter data

IEEE Transactions on Power Systems

2022/3/31

A consensus-based transactive energy design for unbalanced distribution networks

IEEE Transactions on Power Systems

2023

Learning latent interactions for event classification via graph neural networks and PMU data

IEEE Transactions on Power Systems

2022/3/10

A joint distribution system state estimation framework via deep actor-critic learning method

IEEE Transactions on Power Systems

2022/3/3

Robust conservation voltage reduction evaluation using soft constrained gradient analysis

IEEE Transactions on Power Systems

2022/1/27

Zhaoyu Wang
Zhaoyu Wang

H-Index: 29

Online voltage control for unbalanced distribution networks using projected Newton method

IEEE Transactions on Power Systems

2022/1/25

See List of Professors in Zhaoyu Wang University(Iowa State University)