Yu Zhang

Yu Zhang

University of California, Santa Cruz

H-index: 16

North America-United States

About Yu Zhang

Yu Zhang, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at University of California, Santa Cruz, specializes in the field of Energy, AI, Learning and Optimization.

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

Privacy-Preserving Load Forecasting via Personalized Model Obfuscation

Addressing Heterogeneity in Federated Load Forecasting via Personalization Layers

Adaptive Fault Detection for Grid-Forming Inverters

Greening service capacity in telecom supply chain under environmental regulation

A Novel Observer-Centric Approach for Detecting Faults in Islanded AC Microgrids with Uncertainties

A Unifying Framework of Attention-based Neural Load Forecasting

Power System Quasi-Steady State Estimation: An Echo State Network Approach

Real-Time Power System Event Detection: A Novel Instance Selection Approach

Yu Zhang Information

University

Position

Assistant Professor

Citations(all)

2027

Citations(since 2020)

1120

Cited By

1378

hIndex(all)

16

hIndex(since 2020)

13

i10Index(all)

24

i10Index(since 2020)

17

Email

University Profile Page

University of California, Santa Cruz

Google Scholar

View Google Scholar Profile

Yu Zhang Skills & Research Interests

Energy

AI

Learning and Optimization

Top articles of Yu Zhang

Title

Journal

Author(s)

Publication Date

Privacy-Preserving Load Forecasting via Personalized Model Obfuscation

arXiv preprint arXiv:2312.00036

Shourya Bose

Yu Zhang

Kibaek Kim

2023/11/21

Addressing Heterogeneity in Federated Load Forecasting via Personalization Layers

Shourya Bose

Yu Zhang

Kibaek Kim

2024/5

Adaptive Fault Detection for Grid-Forming Inverters

IEEE Access

Gabriel Intriago

Yu Zhang

2024/4

Greening service capacity in telecom supply chain under environmental regulation

Sustainability

Ying Shi

Tianjian Yang

Yu Zhang

Rong Ma

2024/3/31

A Novel Observer-Centric Approach for Detecting Faults in Islanded AC Microgrids with Uncertainties

IEEE Systems Journal

Gabriel Intriago

Andres Intriago

Charalambos Konstantinou

Yu Zhang

2024/3/12

A Unifying Framework of Attention-based Neural Load Forecasting

IEEE Access

Jing Xiong

Yu Zhang

2023/5/10

Power System Quasi-Steady State Estimation: An Echo State Network Approach

Gabriel Intriago

Holger Cevallos

Yu Zhang

2023/10

Real-Time Power System Event Detection: A Novel Instance Selection Approach

IEEE Access

Gabriel Intriago

Yu Zhang

2023/2/27

Physics-guided Residual Learning for Probabilistic Power Flow Analysis

IEEE Access

Kejun Chen

Yu Zhang

2023/9

AI-Based Power Demand Forecasting of California Counties

IJHSR

Maxwell Y Chen

Shourya Bose

Yu Zhang

2023/2

MATNilm: Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled Data

IEEE Transactions on Industrial Informatics

Xiong Jing

Tianqi Hong

Dongbo Zhao

Yu Zhang

2023/7

Frequency Cyber-Attack Detection in Droop-Controlled Grid Forming Inverters

Gabriel Intriago

Raul Intriago

Yu Zhang

2023/7

On LinDistFlow Model Congestion Pricing: Bounding the Changes in Power Tariffs

Shourya Bose

Kejun Chen

Yu Zhang

2023/6/19

Co-optimization of Battery Routing and Load Restoration for Microgrids with Mobile Energy Storage Systems

Shourya Bose

Sifat Chowdhury

Yu Zhang

2022/7/17

Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning

Kujun Chen

Yu Zhang

2022

Differentially Private Load Restoration for Microgrids with Distributed Energy Storage

Shourya Bose

Yu Zhang

2022/4/24

Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality

Kejun Chen

Shourya Bose

Yu Zhang

2022/12/4

Evolutionary game theory-based system dynamics modeling for community solid waste classification in China

Utilities Policy

Ye Li

Tianjian Yang

Yu Zhang

2022/12/1

Mitigating Greenhouse Gas Emissions Through Generative Adversarial Networks Based Wildfire Prediction

Sifat Chowdhury

Kai Zhu

Yu Zhang

2021

Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach

Jing Xiong

Pengyang Zhou

Alan Chen

Yu Zhang

2021

See List of Professors in Yu Zhang University(University of California, Santa Cruz)

Co-Authors

H-index: 160
Georgios  B. Giannakis

Georgios B. Giannakis

University of Minnesota-Twin Cities

H-index: 70
Jinliang HE

Jinliang HE

Tsinghua University

H-index: 54
Jun Hu

Jun Hu

Tsinghua University

H-index: 49
Wen Chen,  CIE Fellow, IEEE DL

Wen Chen, CIE Fellow, IEEE DL

Shanghai Jiao Tong University

H-index: 37
Javad Lavaei

Javad Lavaei

University of California, Berkeley

H-index: 30
Vassilis Kekatos

Vassilis Kekatos

Virginia Polytechnic Institute and State University

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