Steven H. Low

Steven H. Low

California Institute of Technology

H-index: 95

North America-United States

About Steven H. Low

Steven H. Low, With an exceptional h-index of 95 and a recent h-index of 59 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of computer networks, networking, power systems, smart grid, control.

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

Unsupervised Learning for Solving AC Optimal Power Flows: Design, Analysis, and Experiment

Stability constrained reinforcement learning for decentralized real-time voltage control

Financial Incentives for Energy Resource Investments in Stochastic Economic Dispatch

Preface to Special Issue on Computational Advances in Short-Term Power System Operations

Modeling unbalanced power flow with δ-connected devices

Certifying black-box policies with stability for nonlinear control

Three-phase transformer modeling

Convergence of Backward/Forward Sweep for Power Flow Solution in Radial Networks

Steven H. Low Information

University

Position

Gilloon Professor of Computing+Mathematical Sciences Electrical Engineering

Citations(all)

46722

Citations(since 2020)

14768

Cited By

38193

hIndex(all)

95

hIndex(since 2020)

59

i10Index(all)

268

i10Index(since 2020)

169

Email

University Profile Page

California Institute of Technology

Google Scholar

View Google Scholar Profile

Steven H. Low Skills & Research Interests

computer networks

networking

power systems

smart grid

control

Top articles of Steven H. Low

Title

Journal

Author(s)

Publication Date

Unsupervised Learning for Solving AC Optimal Power Flows: Design, Analysis, and Experiment

IEEE Transactions on Power Systems

Wanjun Huang

Minghua Chen

Steven H Low

2024/3/8

Stability constrained reinforcement learning for decentralized real-time voltage control

IEEE Transactions on Control of Network Systems

Jie Feng

Yuanyuan Shi

Guannan Qu

Steven H Low

Anima Anandkumar

...

2023/12/1

Financial Incentives for Energy Resource Investments in Stochastic Economic Dispatch

Ieee Transactions on Sustainable Energy

Su Wang

Bo Sun

Liang Ni

Steven H Low

Danny HK Tsang

2023/2/6

Preface to Special Issue on Computational Advances in Short-Term Power System Operations

Operations Research

Ross Baldick

Steven Low

Richard O’Neill

Daniel Ralph

Golbon Zakeri

2023/11

Modeling unbalanced power flow with δ-connected devices

Steven H Low

2023/12/13

Certifying black-box policies with stability for nonlinear control

IEEE Open Journal of Control Systems

Tongxin Li

Ruixiao Yang

Guannan Qu

Yiheng Lin

Adam Wierman

...

2023/2/1

Three-phase transformer modeling

Steven H Low

2023/9/26

Convergence of Backward/Forward Sweep for Power Flow Solution in Radial Networks

Bohang Fang

Changhong Zhao

Steven H Low

2023/12/13

Reinforcement Learning for Decision-Making and Control in Power Systems

Xin Chen

Guannan Qu

Yujie Tang

Steven Low

Na Li

2023/7/19

Pricing uncertainty in stochastic multi-stage electricity markets

Lucien Werner

Nicolas Christianson

Alessandro Zocca

Adam Wierman

Steven Low

2023/12/13

DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with a Multi-Valued Load-Solution Mapping

Xiang Pan

Wanjun Huang

Minghua Chen

Steven H Low

2023/6/20

Tractable Identification of Electric Distribution Networks

Ognjen Stanojev

Lucien Werner

Steven Low

Gabriela Hug

2023/12/13

Control for societal-scale challenges: Road map 2030

Andrew Alleyne

Frank Allgöwer

Aaron Ames

Saurabh Amin

James Anderson

...

2023/5

Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints

Tianyu Zhao

Xiang Pan

Minghua Chen

Steven Low

2022/9/29

Analytical methods for network congestion control

Steven H Low

2022/5/31

A three-phase power flow model and balanced network analysis

arXiv preprint arXiv:2207.12519

Steven H Low

2022/7/25

DeepOPF: A feasibility-optimized deep neural network approach for AC optimal power flow problems

IEEE Systems Journal

Xiang Pan

Minghua Chen

Tianyu Zhao

Steven H Low

2022/9/16

Reinforcement learning for selective key applications in power systems: Recent advances and future challenges

Xin Chen

Guannan Qu

Yujie Tang

Steven Low

Na Li

2022/2/25

Systems and methods for adaptive EV charging

2022/7/5

Robustness and consistency in linear quadratic control with untrusted predictions

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Tongxin Li

Ruixiao Yang

Guannan Qu

Guanya Shi

Chenkai Yu

...

2022/2/25

See List of Professors in Steven H. Low University(California Institute of Technology)

Co-Authors

H-index: 103
John Doyle

John Doyle

California Institute of Technology

H-index: 68
Shengwei Mei

Shengwei Mei

Tsinghua University

H-index: 57
Adam Wierman

Adam Wierman

California Institute of Technology

H-index: 48
Feng Liu

Feng Liu

Tsinghua University

H-index: 48
Na Li

Na Li

Harvard University

H-index: 47
Minghua Chen

Minghua Chen

City University of Hong Kong

academic-engine