What is he best known for?
The fields of study he is best known for:
- Microeconomics
- Statistics
- Mathematical optimization
His scientific interests lie mostly in Automotive engineering, Electricity, Simulation, Electricity demand and Wind power.
His Automotive engineering research integrates issues from Gasoline, Service level, Simulation optimization and Coal.
The various areas that Ramteen Sioshansi examines in his Electricity study include Environmental engineering, Process engineering and Solar energy.
His studies in Electricity demand integrate themes in fields like Econometrics and Markov chain.
His work deals with themes such as Reliability engineering and Power system simulation, which intersect with Wind power.
The concepts of his Power system simulation study are interwoven with issues in Demand response, Operations management and Operations research.
His most cited work include:
- Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects ! (391 citations)
- The value of compressed air energy storage with wind in transmission- constrained electric power systems (246 citations)
- The Value of Concentrating Solar Power and Thermal Energy Storage (224 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Electricity, Microeconomics, Mathematical optimization, Wind power and Automotive engineering.
His Electricity research includes themes of Environmental economics, Industrial organization, Process engineering and Natural gas.
His research in Microeconomics intersects with topics in Power system simulation, Demand response and Electricity market.
His Stochastic optimization study in the realm of Mathematical optimization connects with subjects such as Charging station.
He has researched Wind power in several fields, including Reliability engineering, Transmission, Environmental engineering and Economic surplus.
The Automotive engineering study combines topics in areas such as Energy, Service level, Simulation optimization and Coal.
He most often published in these fields:
- Electricity (26.61%)
- Microeconomics (19.27%)
- Mathematical optimization (14.68%)
What were the highlights of his more recent work (between 2018-2021)?
- Electricity (26.61%)
- Natural gas (10.09%)
- Mathematical optimization (14.68%)
In recent papers he was focusing on the following fields of study:
His main research concerns Electricity, Natural gas, Mathematical optimization, Electricity market and Wind power.
His biological study spans a wide range of topics, including Environmental economics and Market price.
The study incorporates disciplines such as Incentive and Subsidy in addition to Environmental economics.
His Natural gas research incorporates themes from Pipeline transport, Profit and Industrial organization.
His studies deal with areas such as Investment and Investment decisions as well as Electricity market.
His Wind power study combines topics in areas such as Reliability engineering and Market clearing.
Between 2018 and 2021, his most popular works were:
- The role of energy storage in deep decarbonization of electricity production (46 citations)
- Unit Commitment With an Enhanced Natural Gas-Flow Model (32 citations)
- Shadow Price-Based Co-Ordination of Natural Gas and Electric Power Systems (31 citations)
In his most recent research, the most cited papers focused on:
- Microeconomics
- Statistics
- Mathematical optimization
His primary areas of study are Natural gas, Flexibility, Distributed generation, Charging station and Energy.
Ramteen Sioshansi has included themes like Electricity and Industrial organization in his Natural gas study.
In his study, he carries out multidisciplinary Electricity and Social Welfare research.
His study in Flexibility is interdisciplinary in nature, drawing from both Variable renewable energy, Automotive engineering, Natural resource economics, Some Energy and Renewable energy.
The concepts of his Distributed generation study are interwoven with issues in Robust optimization, Optimization problem, Photovoltaic system and Renewable resource.
His Mathematical optimization study integrates concerns from other disciplines, such as Power system simulation and Relaxation.
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