World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
9510
World Ranking
3057
National Ranking
912

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical optimization
  • Electrical engineering
  • Artificial intelligence

S.M. Shahidehpour mainly investigates Mathematical optimization, Power system simulation, Electric power system, Economic dispatch and Dynamic programming. Mathematical optimization and Control engineering are frequently intertwined in his study. S.M. Shahidehpour carries out multidisciplinary research, doing studies in Power system simulation and Schedule.

The various areas that S.M. Shahidehpour examines in his Electric power system study include Electricity pricing, Electric utility, Electricity generation, Outcome and Industrial organization. His research integrates issues of Linear programming, Optimization problem, Lagrangian relaxation and Control theory in his study of Economic dispatch. His Dynamic programming research includes elements of Dynamic dispatch, Computation and Simulation.

His most cited work include:

  • Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation (458 citations)
  • Effects of ramp-rate limits on unit commitment and economic dispatch (338 citations)
  • Transaction analysis in deregulated power systems using game theory (284 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Electric power system, Mathematical optimization, Power system simulation, Control theory and Electrical network. His work deals with themes such as Reliability engineering, Control engineering, Electricity generation, Electronic engineering and Electrical engineering, which intersect with Electric power system. S.M. Shahidehpour has included themes like AC power and Economic dispatch in his Mathematical optimization study.

His study in Economic dispatch is interdisciplinary in nature, drawing from both Optimization problem, Constrained optimization and Operations research. The concepts of his Power system simulation study are interwoven with issues in Decomposition method, Dynamic programming and Expert system. His Control theory study deals with Electric power transmission intersecting with Maintenance engineering and Control system.

He most often published in these fields:

  • Electric power system (60.00%)
  • Mathematical optimization (49.52%)
  • Power system simulation (26.67%)

What were the highlights of his more recent work (between 1999-2007)?

  • Mathematical optimization (49.52%)
  • Power system simulation (26.67%)
  • Bidding (3.81%)

In recent papers he was focusing on the following fields of study:

S.M. Shahidehpour spends much of his time researching Mathematical optimization, Power system simulation, Bidding, Transmission congestion and Electricity. His work on Linear programming as part of general Mathematical optimization research is frequently linked to Schedule, thereby connecting diverse disciplines of science. The Bidding study combines topics in areas such as Lagrange multiplier, Lagrangian relaxation and Profit.

S.M. Shahidehpour has researched Transmission congestion in several fields, including Operations research, Transmission rights and Transmission system. His research in Transmission security tackles topics such as Voltage which are related to areas like Electric power system. S.M. Shahidehpour combines subjects such as Relay, Transmission line, Electronic engineering and Reduction with his study of Electric power system.

Between 1999 and 2007, his most popular works were:

  • Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets (172 citations)
  • Unit commitment using a hybrid model between Lagrangian relaxation and genetic algorithm in competitive electricity markets (69 citations)
  • A new approach for GenCos profit based unit commitment in day-ahead competitive electricity markets considering reserve uncertainty (68 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Mathematical optimization
  • Artificial intelligence

His primary scientific interests are in Mathematical optimization, Lagrangian relaxation, Bidding, Power system simulation and Electricity. Much of his study explores Mathematical optimization relationship to Real-time computing. S.M. Shahidehpour has included themes like Profit and Evolutionary programming in his Lagrangian relaxation study.

His Bidding research includes elements of Genetic algorithm and Lagrange multiplier.

Best Publications

  • Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation

    S.J. Wang;S.M. Shahidehpour;D.S. Kirschen;S. Mokhtari

  • Effects of ramp-rate limits on unit commitment and economic dispatch

    C. Wang;S.M. Shahidehpour

  • Transaction analysis in deregulated power systems using game theory

    R.W. Ferrero;S.M. Shahidehpour;V.C. Ramesh

  • Linear reactive power optimization in a large power network using the decomposition approach

    N. Deeb;S.M. Shahidehpour

  • An intelligent dynamic programming for unit commitment application

    Z. Ouyang;S.M. Shahidehpour

  • State estimation for electric power distribution systems in quasi real-time conditions

    I. Roytelman;S.M. Shahidehpour

  • Application of games with incomplete information for pricing electricity in deregulated power pools

    R.W. Ferrero;J.F. Rivera;S.M. Shahidehpour

  • Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets

    H.Y. Yamin;S.M. Shahidehpour;Z. Li

  • Unit commitment with transmission security and voltage constraints

    H. Ma;S.M. Shahidehpour

  • Integrated generation and transmission maintenance scheduling with network constraints

    M.K.C. Marwali;S.M. Shahidehpour

  • Ramp-rate limits in unit commitment and economic dispatch incorporating rotor fatigue effect

    C. Wang;S.M. Shahidehpour

  • A dynamic programming two-stage algorithm for long-term hydrothermal scheduling of multireservoir systems

    R.W. Ferrero;J.F. Rivera;S.M. Shahidehpour

  • A fuzzy-based optimal reactive power control

    K.H. Abdul-Rahman;S.M. Shahidehpour

  • Transmission-constrained unit commitment based on Benders decomposition

    Haili Ma;S.M. Shahidehpour

  • An Efficient Technique for Reactive Power Dispatch Using a Revised Linear Programming Approach

    N.I. Deeb;S.M. Shahidehpour

  • Transmission analysis by Nash game method

    X. Bai;S.M. Shahidehpour;V.C. Ramesh;Erkeng Yu

  • Optimal generation scheduling with ramping costs

    C. Wang;S.M. Shahidehpour

  • Hydro-thermal, scheduling by tabu search and decomposition method

    Xaiomin Bai;S.M. Shahidehpour

  • Long-term transmission and generation maintenance scheduling with network, fuel and emission constraints

    M.K.C. Marwali;S.M. Shahidehpour

  • A heuristic short-term unit commitment

    S.K. Tong;S.M. Shahidehpour;Z. Ouyang

Frequent Co-Authors

Daniel S. Kirschen
Daniel S. Kirschen University of Washington
Chanan Singh
Chanan Singh Texas A&M University
Zuyi Li
Zuyi Li Zhejiang University

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