World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
61
Citations
13112
World Ranking
1553
National Ranking
630

Research.com Recognitions

  • 1995 - IEEE Fellow For contributions to the development of near-optimal and efficient manufacturing scheduling methodologies.

Overview

Peter B. Luh is affiliated with the University of Connecticut in the United States. Their research contributions focus predominantly within the field of Engineering, with specific emphasis on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, and Control and Systems Engineering.

Their research spans several core topics including:

  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Optimization and Packing Problems

Peter B. Luh's publication record features articles in frequently appearing venues such as:

  • IEEE Spectrum
  • IEEE Transactions on Automation Science and Engineering
  • arXiv (Cornell University)
  • IEEE Transactions on Power Systems
  • IEEE Robotics and Automation Letters

Selected recent papers include:

  • "Markovian-based stochastic operation optimization of multiple distributed energy systems with renewables in a local energy community" (2020), published in Electric Power Systems Research
  • "Security-Constrained Unit Commitment for Electricity Market: Modeling, Solution Methods, and Future Challenges" (2022), published in IEEE Transactions on Power Systems
  • "A Novel Optimization Approach for Sub-Hourly Unit Commitment With Large Numbers of Units and Virtual Transactions" (2021), published in IEEE Transactions on Power Systems
  • "Distributed and Asynchronous Active Fault Management for Networked Microgrids" (2020), published in IEEE Transactions on Power Systems
  • "A Novel Integer Linear Programming Formulation for Job-Shop Scheduling Problems" (2021), published in IEEE Robotics and Automation Letters

Frequent co-authors collaborating with Peter B. Luh include:

  • Mikhail A. Bragin
  • Bing Yan
  • Susan Hassler
  • Harry Goldstein
  • Jean Kumagai

In 1995, Peter B. Luh was named an IEEE Fellow for contributions to the development of near-optimal and efficient manufacturing scheduling methodologies.

Best Publications

  • Short-Term Load Forecasting: Similar Day-Based Wavelet Neural Networks

    Ying Chen;P.B. Luh;Che Guan;Yige Zhao

  • A practical approach to job-shop scheduling problems

    D.J. Hoitomt;P.B. Luh;K.R. Pattipati

  • An optimization-based method for unit commitment

    X. Guan;P.B. Luh;H. Yan;J.A. Amalfi

  • Scheduling of manufacturing systems using the Lagrangian relaxation technique

    P.B. Luh;D.J. Hoitomt

  • Holonic manufacturing scheduling: architecture, cooperation mechanism and implementation

    Ling Gou;Peter B. Luh;Yuji Kyoya

  • Optimization based bidding strategies in the deregulated market

    Daoyuan Zhang;Yajun Wang;P.B. Luh

  • Neural network-based market clearing price prediction and confidence interval estimation with an improved extended Kalman filter method

    Li Zhang;P.B. Luh

  • Building Energy Management: Integrated Control of Active and Passive Heating, Cooling, Lighting, Shading, and Ventilation Systems

    Biao Sun;P. B. Luh;Qing-Shan Jia;Ziyan Jiang

  • Schedule generation and reconfiguration for parallel machines

    P.B. Luh;D.J. Hoitomt;E. Max;K.R. Pattipati

  • The surrogate gradient algorithm for Lagrangian relaxation method

    Xing Zhao;P.B. Luh;Jihua Wang

  • Energy clearing price prediction and confidence interval estimation with cascaded neural networks

    Li Zhang;P.B. Luh;K. Kasiviswanathan

  • The MIMO Radar and Jammer Games

    Xiufeng Song;Peter Willett;Shengli Zhou;Peter B. Luh

  • Nonlinear approximation method in Lagrangian relaxation-based algorithms for hydrothermal scheduling

    Xiaohong Guan;P.B. Luh;Lan Zhang

  • Optimal integrated generation bidding and scheduling with risk management under a deregulated daily power market

    E. Ni;P.B. Luh;S. Rourke

  • Hydroelectric generation scheduling with an effective differential dynamic programming algorithm

    Shi-Chung Chang;Chun-Hung Chen;I-Kong Fong;P.B. Luh

  • Optimization-based scheduling of hydrothermal power systems with pumped-storage units

    Xiaohong Guan;P.B. Luh;Houzhong Yen;P. Rogan

  • Hybrid Kalman Filters for Very Short-Term Load Forecasting and Prediction Interval Estimation

    Che Guan;Peter B. Luh;Laurent D. Michel;Zhiyi Chi

  • Convergence of the Surrogate Lagrangian Relaxation Method

    Mikhail A. Bragin;Peter B. Luh;Joseph H. Yan;Nanpeng Yu

  • Scheduling of hydrothermal power systems

    H. Yan;P.B. Luh;X. Guan;P.M. Rogan

  • Power Portfolio Optimization in Deregulated Electricity Markets With Risk Management

    Jun Xu;P.B. Luh;F.B. White;E. Ni

  • An optimization-based algorithm for scheduling hydrothermal power systems with cascaded reservoirs and discrete hydro constraints

    Xiaohong Guan;Ernan Ni;Renhou Li;P.B. Luh

  • Short-term load forecasting: Similar day-based wavelet neural networks

    Ying Chen;P.B. Luh;S.J. Rourke

Frequent Co-Authors

Krishna R. Pattipati
Krishna R. Pattipati University of Connecticut
George A. Bekey
George A. Bekey University of Southern California
Tianyou Chai
Tianyou Chai Northeastern University
Rafael Fierro
Rafael Fierro University of New Mexico
Kevin M. Lynch
Kevin M. Lynch Northwestern University
Wan Kyun Chung
Wan Kyun Chung Pohang University of Science and Technology
Cyrill Stachniss
Cyrill Stachniss University of Bonn
Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut
Jean-Paul Laumond
Jean-Paul Laumond École Normale Supérieure
Lixin Dong
Lixin Dong City University of Hong Kong

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those pursuing Electronics and Electrical Engineering in the USA, exploring flexible online education options can be a game-changer. Many programs now offer competency based masters degree paths, which allow students to advance by demonstrating skills rather than sticking to traditional timelines. This approach is especially beneficial for working professionals or those seeking to accelerate their studies.

Military spouses and dependents often face unique challenges when continuing education. Fortunately, several online schools for military spouses offer tailored support and flexible scheduling to accommodate frequent moves and deployments, making it easier to pursue degrees without sacrificing career goals.

For those ready to start quickly, many online colleges starting this month provide rolling admissions and frequent start dates, enabling students not to wait for traditional semester cycles. This accessibility ensures that career advancement can begin promptly.

Additionally, short-term options such as short certificate programs offer focused training in specialized areas of electrical engineering. These programs can enhance skills or pivot careers efficiently, often leading to competitive salaries in as little as six months.

Best Scientists Citing Peter B. Luh

Trending Scientists