Francisco D. Galiana

What is he best known for?

The fields of study he is best known for:

• Electrical engineering
• Mathematical optimization
• Microeconomics

Francisco D. Galiana mainly focuses on Mathematical optimization, Electric power system, Power system simulation, Operations research and Integer programming. His Mathematical optimization research incorporates elements of Transmission loss and Infinitesimal. Francisco D. Galiana has included themes like Competition, Upper and lower bounds, Restructuring and Electric power in his Electric power system study.

His Power system simulation research includes elements of Electrical network, Electricity generation, Simulation and Electricity. His research integrates issues of Scheduling, Interval and Principal in his study of Operations research. His studies in Integer programming integrate themes in fields like Linear programming, Computational complexity theory and Market clearing.

His most cited work include:

• Short-term load forecasting (718 citations)
• Stochastic Security for Operations Planning With Significant Wind Power Generation (599 citations)
• A survey of the optimal power flow literature (488 citations)

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

Francisco D. Galiana spends much of his time researching Mathematical optimization, Electric power system, Power system simulation, Electricity and Microeconomics. His study on Integer programming and Lagrange multiplier is often connected to Set and Generator as part of broader study in Mathematical optimization. While the research belongs to areas of Integer programming, Francisco D. Galiana spends his time largely on the problem of Linear programming, intersecting his research to questions surrounding Market clearing.

His biological study spans a wide range of topics, including Wind power, Electrical network, Control engineering, Electric power and Electricity generation. His studies deal with areas such as Scheduling, Stand-alone power system and Reliability as well as Power system simulation. The Electricity study combines topics in areas such as Profit and Industrial organization.

He most often published in these fields:

• Mathematical optimization (35.94%)
• Electric power system (33.59%)
• Power system simulation (21.88%)

What were the highlights of his more recent work (between 2009-2019)?

• Mathematical optimization (35.94%)
• Electric power system (33.59%)
• Wind power (10.16%)

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

Francisco D. Galiana mostly deals with Mathematical optimization, Electric power system, Wind power, Power system simulation and Set. In most of his Mathematical optimization studies, his work intersects topics such as Market power. His study brings together the fields of Upper and lower bounds and Electric power system.

His Wind power study integrates concerns from other disciplines, such as Simulation and Residual. The Power system simulation study which covers Control theory that intersects with Energy storage and Scheduling. Francisco D. Galiana interconnects Frequency response, Relay, AC power and Control reconfiguration in the investigation of issues within Integer programming.

Between 2009 and 2019, his most popular works were:

• Assessing the Yearly Impact of Wind Power Through a New Hybrid Deterministic/Stochastic Unit Commitment (88 citations)
• Under-Frequency Load Shedding Via Integer Programming (54 citations)
• Security-Constrained Unit Commitment With Uncertain Wind Generation: The Loadability Set Approach (34 citations)

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

• Electrical engineering
• Mathematical optimization
• Microeconomics

His primary areas of study are Mathematical optimization, Power system simulation, Electric power system, Residual and Set. His biological study focuses on Linear programming. Francisco D. Galiana combines subjects such as Order, Merit order, Nash equilibrium, Strategy and Oligopoly with his study of Linear programming.

His Power system simulation research incorporates themes from Scheduling and Energy storage. His research in Residual intersects with topics in Wind power and Reliability. His Set studies intersect with other disciplines such as Integer programming, Heuristics, Generator, Frequency response and Relay.