Yu Zhang

Orcid: 0000-0001-7889-2676

Affiliations:
  • University of California, Santa Cruz, CA, USA
  • University of California, Berkeley, CA, USA (former)
  • University of Minnesota, Twin Cities, MN, USA (PhD 2015)


According to our database1, Yu Zhang authored at least 42 papers between 2012 and 2024.

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Bibliography

2024
MATNilm: Multi-Appliance-Task Non-Intrusive Load Monitoring With Limited Labeled Data.
IEEE Trans. Ind. Informatics, March, 2024

Power System Quasi-Steady State Estimation: An Echo State Network Approach.
CoRR, 2024

2023
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation.
CoRR, 2023

A Unifying Framework of Attention-Based Neural Load Forecasting.
IEEE Access, 2023

Real-Time Power System Event Detection: A Novel Instance Selection Approach.
IEEE Access, 2023

Physics-Guided Residual Learning for Probabilistic Power Flow Analysis.
IEEE Access, 2023

On LinDistFlow Model Congestion Pricing: Bounding the Changes in Power Tariffs.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

2022
Co-optimization of Battery Routing and Load Restoration for Microgrids with Mobile Energy Storage Systems.
CoRR, 2022

Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Differentially Private Load Restoration for Microgrids with Distributed Energy Storage.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features.
IEEE Trans. Smart Grid, 2021

Load Restoration in Islanded Microgrids: Formulation and Solution Strategies.
CoRR, 2021

Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach.
CoRR, 2021

2020
Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks.
IEEE J. Sel. Areas Commun., 2020

Stochastic Optimal Load Shedding with Heterogeneous Load Zones.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring.
CoRR, 2019

2018
Conic Relaxations for Power System State Estimation With Line Measurements.
IEEE Trans. Control. Netw. Syst., 2018

2016
Weighted Sum-Rate Maximization for MIMO Downlink Systems Powered by Renewables.
IEEE Trans. Wirel. Commun., 2016

Dynamic Energy Management for Smart-Grid-Powered Coordinated Multipoint Systems.
IEEE J. Sel. Areas Commun., 2016

Robust Workload and Energy Management for Sustainable Data Centers.
IEEE J. Sel. Areas Commun., 2016

Robust geographical load balancing for sustainable data centers.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Power system state estimation with line measurements.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Robust Smart-Grid-Powered Cooperative Multipoint Systems.
IEEE Trans. Wirel. Commun., 2015

Distributed Stochastic Market Clearing with High-Penetration Wind Power.
CoRR, 2015

Optimal resource allocation for smart-grid powered MIMO broadcast channels.
Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

Optimal Dynamic Power Management for Green Coordinated Multipoint Systems.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Short-term wind power forecasting using nonnegative sparse coding.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

Distributed robust resource allocation for renewable powered wireless cellular networks.
Proceedings of the IEEE International Black Sea Conference on Communications and Networking, 2015

Big data sketching with model mismatch.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Electricity Market Forecasting via Low-Rank Multi-Kernel Learning.
IEEE J. Sel. Top. Signal Process., 2014

Kernel selection for power market inference via block successive upper bound minimization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed market clearing with wind generation and large-scale dispatchable loads.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Robust optimal power flow with wind integration using conditional value-at-risk.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Risk-constrained energy management with multiple wind farms.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013

Risk-aware management of distributed energy resources.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Disaggregated bundle methods for distributed market clearing in power networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Low-rank kernel learning for electricity market inference.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Distributed Optimal Beamformers for Cognitive Radios Robust to Channel Uncertainties.
IEEE Trans. Signal Process., 2012

Robust Management of Distributed Energy Resources for Microgrids with Renewables
CoRR, 2012

Robust distributed energy management for microgrids with renewables.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Distributed robust beamforming for MIMO cognitive networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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