World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
9361
World Ranking
8559
National Ranking
2359

Research.com Recognitions

  • 1998 - IEEE Fellow For contributions to the development of Auction Methods as an alternative to power system optimization methods addressing the de-regulation of the electric utility business

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Finance
  • Microeconomics

His primary areas of investigation include Electric power system, Electric power industry, Genetic algorithm, Mathematical optimization and Load management. His Electric power industry research includes themes of Bidding, Common value auction, Microeconomics, Profit and Operations research. He has included themes like Stochastic game, Lagrangian relaxation, Algorithm, Computation and Economic dispatch in his Genetic algorithm study.

His research in Economic dispatch focuses on subjects like Nonlinear programming, which are connected to Electrical network. The study incorporates disciplines such as Power system simulation and Economic forecasting in addition to Mathematical optimization. As a member of one scientific family, he mostly works in the field of Load management, focusing on Load following power plant and, on occasion, Deregulation.

His most cited work include:

  • Genetic algorithm solution of economic dispatch with valve point loading (992 citations)
  • Unit commitment literature synopsis (441 citations)
  • Refined genetic algorithm-economic dispatch example (252 citations)

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

Gerald B. Sheblé mainly focuses on Electric power system, Mathematical optimization, Microeconomics, Electric power industry and Electricity market. When carried out as part of a general Electric power system research project, his work on Power-flow study is frequently linked to work in Spacecraft, therefore connecting diverse disciplines of study. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Power system simulation and Economic dispatch.

His Microeconomics research focuses on subjects like Electricity, which are linked to Supply and demand, Econometrics and Valuation. His work deals with themes such as Competition, Load management, Industrial organization and Electric power, which intersect with Electric power industry. His studies in Electricity market integrate themes in fields like Market power and Energy market.

He most often published in these fields:

  • Electric power system (27.91%)
  • Mathematical optimization (22.48%)
  • Microeconomics (20.93%)

What were the highlights of his more recent work (between 2005-2018)?

  • Electricity market (13.95%)
  • Mathematical optimization (22.48%)
  • Electricity (11.63%)

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

His main research concerns Electricity market, Mathematical optimization, Electricity, Microeconomics and Wind power. Gerald B. Sheblé interconnects Market power, Bidding, Automaton and Factor market in the investigation of issues within Electricity market. His work in the fields of Stochastic programming overlaps with other areas such as Production cost.

Gerald B. Sheblé works mostly in the field of Stochastic programming, limiting it down to concerns involving Optimization problem and, occasionally, Genetic algorithm and Evolutionary computation. In the field of Electricity, his study on Electric power industry overlaps with subjects such as Economic forces. His Common value auction study in the realm of Microeconomics interacts with subjects such as Contingency and Work.

Between 2005 and 2018, his most popular works were:

  • Comparing Hedging Methods for Wind Power: Using Pumped Storage Hydro Units vs. Options Purchasing (69 citations)
  • Valuation of switchable tariff for wind energy (38 citations)
  • Electricity market equilibrium model with resource constraint and transmission congestion (33 citations)

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

  • Artificial intelligence
  • Finance
  • Microeconomics

His primary areas of study are Electricity, Electricity market, Mathematical optimization, Renewable energy and Wind power. His biological study spans a wide range of topics, including Shadow price, Flow network, Market power, Nash equilibrium and Hidden Markov model. The concepts of his Electricity market study are interwoven with issues in Supply and demand, Production and Market participant.

His Mathematical optimization research incorporates elements of Bidding, Energy supply and Complete information. His study focuses on the intersection of Renewable energy and fields such as Environmental economics with connections in the field of Electric power, Feed-in tariff, Electric power industry and Valuation of options. His studies in Wind power integrate themes in fields like Photovoltaic system, Hydroelectricity, Wave power and Energy storage.

Best Publications

  • Genetic algorithm solution of economic dispatch with valve point loading

    D.C. Walters;G.B. Sheble

  • Unit commitment literature synopsis

    G.B. Sheble;G.N. Fahd

  • Refined genetic algorithm-economic dispatch example

    G.B. Sheble;K. Brittig

  • Evaluation of Dynamic Programming Based Methods and Multiple area Representation for Thermal Unit Commitments

    C. K. Pang;G. B. Sheble;F. Albuyeh

  • AGC simulator for price-based operation. I. A model

    J. Kumar;Kah-Hoe Ng;G. Sheble

  • Computational Auction Mechanisms for Restructured Power Industry Operation

    Gerald B. Sheble

  • Direct load control-A profit-based load management using linear programming

    K.-H. Ng;G.B. Sheble

  • Genetic algorithm evolution of utility bidding strategies for the competitive marketplace

    C.W. Richter;G.B. Sheble

  • A profit-based unit commitment GA for the competitive environment

    C.W. Richter;G.B. Sheble

  • Application of auctions as a pricing mechanism for the interchange of electric power

    D.L. Post;S.S. Coppinger;G.B. Sheble

  • Genetic-based unit commitment algorithm

    T.T. Maifeld;G.B. Sheble

  • A new approach to AC/DC power flow

    T. Smed;G. Andersson;G.B. Sheble;L.L. Grigsby

  • Comprehensive bidding strategies with genetic programming/finite state automata

    C.W. Richter;G.B. Sheble;D. Ashlock

  • AGC simulator for price-based operation. II. Case study results

    J. Kumar;Kah-Hoe Ng;G. Sheble

  • Unit commitment by genetic algorithm and expert system

    Gerald B. Sheblé;Timothy T. Maifeld

  • Auction implementation problems using Lagrangian relaxation

    S. Dekrajangpetch;G.B. Sheble;A. Conejo

  • Solution of the unit commitment problem by the method of unit periods

    G.B. Sheble

  • Comparing Hedging Methods for Wind Power: Using Pumped Storage Hydro Units vs. Options Purchasing

    Kory W. Hedman;Gerald B. Sheble

  • Unit commitment by genetic algorithm with penalty methods and a comparison of Lagrangian search and genetic algorithm—economic dispatch example

    G.B. Sheblé;T.T. Maifeld;K. Brittig;G. Fahd

  • Artificial Intelligence Solutions to Power System Operating Problems

    R. P. Schulte;J. N. Wrubel;S. L. Larsen;G. B. Sheble

Frequent Co-Authors

R.M. Nelms
R.M. Nelms Auburn University
Kory W. Hedman
Kory W. Hedman Arizona State University
James D. McCalley
James D. McCalley Iowa State University
Manuel A. Matos
Manuel A. Matos University of Porto
Venkataramana Ajjarapu
Venkataramana Ajjarapu Iowa State University
Vijay Vittal
Vijay Vittal Arizona State University
Kit Po Wong
Kit Po Wong University of Western Australia
Peter W. Sauer
Peter W. Sauer University of Illinois at Urbana-Champaign
João Peças Lopes
João Peças Lopes University of Porto
Mariesa L. Crow
Mariesa L. Crow Missouri University of Science and Technology

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