What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Microeconomics
- Linear programming
His primary areas of investigation include Mathematical optimization, Integer programming, Linear programming, Microeconomics and Stochastic programming.
His Integer programming study integrates concerns from other disciplines, such as Profit and Bilevel optimization.
Jose M. Arroyo has included themes like Dynamic programming and Downtime in his Profit study.
His study in Linear programming is interdisciplinary in nature, drawing from both Covariance matrix and Profit maximization.
His research in the fields of Bidding overlaps with other disciplines such as Process, Power system security, Node and Marginal price.
In the subject of general Power system simulation, his work in Thermal unit commitment is often linked to Linear programming algorithm, Binary number and Robust optimization, thereby combining diverse domains of study.
His most cited work include:
- A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem (1192 citations)
- Optimal response of a thermal unit to an electricity spot market (450 citations)
- Transmission loss allocation: a comparison of different practical algorithms (309 citations)
What are the main themes of his work throughout his whole career to date?
Jose M. Arroyo mainly focuses on Mathematical optimization, Linear programming, Integer programming, Electric power system and Robust optimization.
The Bilevel optimization and Optimization problem research he does as part of his general Mathematical optimization study is frequently linked to other disciplines of science, such as Power system simulation and Distributed generation, therefore creating a link between diverse domains of science.
In general Power system simulation study, his work on Power generation scheduling often relates to the realm of Electric power transmission, thereby connecting several areas of interest.
His Linear programming research is multidisciplinary, relying on both Minification, Heuristics and Market clearing.
The various areas that Jose M. Arroyo examines in his Integer programming study include Profit, Nonlinear programming and Operations research.
He has researched Robust optimization in several fields, including Linearization, Probabilistic-based design optimization and Control theory.
He most often published in these fields:
- Mathematical optimization (79.59%)
- Linear programming (35.71%)
- Integer programming (22.45%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (79.59%)
- Electric power system (20.41%)
- Distribution system (4.08%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mathematical optimization, Electric power system, Distribution system, Distributed generation and Reliability.
His specific area of interest is Mathematical optimization, where Jose M. Arroyo studies Linear programming.
The Linear programming study combines topics in areas such as Stochastic programming and Minification.
His research integrates issues of Total cost and Production in his study of Stochastic programming.
His Electric power system research overlaps with other disciplines such as Binary number, Electric power transmission, Intermittency and Reliability.
Reliability is connected with Process, Service quality, Linear equation and Mathematical model in his research.
Between 2018 and 2021, his most popular works were:
- Day-Ahead Self-Scheduling of a Virtual Power Plant in Energy and Reserve Electricity Markets Under Uncertainty (58 citations)
- Robust Transmission Network Expansion Planning Under Correlated Uncertainty (18 citations)
- Robust Energy and Reserve Scheduling Under Wind Uncertainty Considering Fast-Acting Generators (12 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Microeconomics
- Linear programming
Jose M. Arroyo mostly deals with Mathematical optimization, Software deployment, Power station, Order and Energy storage.
His study in Mathematical optimization focuses on Robust optimization in particular.
His work often combines Software deployment and Virtual power plant studies.
His Interpretability research includes a combination of various areas of study, such as Convex hull, Power system simulation, Data-driven, Scalability and Robustness.
His study on Intermittency is intertwined with other disciplines of science such as Binary number, Wind power generation, Electric power system, Response time and Reserve market.
In his research, Jose M. Arroyo undertakes multidisciplinary study on Binary number and Salient.
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