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Junbo Zhao

4 papers hereh-index 6129 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SY4
same name
  • Junbo Zhao — 25 papers, h 14
  • Junbo Zhao — 18 papers, h 51
  • Junbo Zhao — 16 papers, h 7
  • Junbo Zhao — 10 papers, h 4
  • Junbo Zhao — 7 papers, h 2
  • Junbo Zhao — 6 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Review of Safe Reinforcement Learning Methods for Modern Power Systems

66 citations · 75 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SY2025

Gaussian Processes in Power Systems: Techniques, Applications, and Future Works

Bendong Tan, Tong Su, Yu Weng +6

The increasing integration of renewable energy sources (RESs) and distributed energy resources (DERs) has significantly heightened operational complexity and uncertainty in modern…

eess.SY2024

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications

Tong Su, Jiangkai Peng, Alaa Selim +2

The emergence of grid-forming (GFM) inverter technology and the increasing role of machine learning in power systems highlight the need for evaluating the latest dynamic simulators…

eess.SY2024★ 9 cited

Neural Network Certification Informed Power System Transient Stability Preventive Control with Renewable Energy

Tong Su, Junbo Zhao

Existing machine learning-based surrogate modeling methods for transient stability constrained-optimal power flow (TSC-OPF) lack certifications in the presence of unseen disturbanc…

eess.SY2024★ 66 cited

A Review of Safe Reinforcement Learning Methods for Modern Power Systems

Tong Su, Tong Wu, Junbo Zhao +2

Given the availability of more comprehensive measurement data in modern power systems, reinforcement learning (RL) has gained significant interest in operation and control. Convent…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.