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.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
