What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Electrical engineering
His primary areas of investigation include Demand response, Wind power, Electric power system, Renewable energy and Electricity market.
His Demand response research integrates issues from Grid, Simulation, Smart grid, Load management and Operations research.
Joao P. S. Catalao combines subjects such as Electricity generation, Power system simulation and Mathematical optimization with his study of Wind power.
His research investigates the link between Electric power system and topics such as Environmental economics that cross with problems in Energy management and Efficient energy use.
The study incorporates disciplines such as Waste management, Biofuel, Environmental engineering and Energy storage in addition to Renewable energy.
His studies in Electricity market integrate themes in fields like Control, Scheduling, Data mining and Integer programming.
His most cited work include:
- Short-term electricity prices forecasting in a competitive market: A neural network approach (328 citations)
- Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR (244 citations)
- An overview of Demand Response: Key-elements and international experience (213 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Electric power system, Renewable energy, Wind power, Demand response and Mathematical optimization.
Joao P. S. Catalao has included themes like Grid and Flexibility in his Electric power system study.
His Renewable energy study which covers Photovoltaic system that intersects with Automotive engineering.
His research in Wind power intersects with topics in Particle swarm optimization, Simulation and Control theory.
His Demand response study integrates concerns from other disciplines, such as Environmental economics, Smart grid, Electricity market and Operations research.
His Distributed generation research includes elements of Control engineering and AC power.
He most often published in these fields:
- Electric power system (42.83%)
- Renewable energy (37.09%)
- Wind power (33.60%)
What were the highlights of his more recent work (between 2019-2021)?
- Mathematical optimization (30.93%)
- Demand response (32.96%)
- Electric power system (42.83%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Mathematical optimization, Demand response, Electric power system, Renewable energy and Energy management.
His studies deal with areas such as Bidding, Distributed generation and AC power as well as Mathematical optimization.
While the research belongs to areas of Bidding, Joao P. S. Catalao spends his time largely on the problem of Electricity market, intersecting his research to questions surrounding Environmental economics.
Demand response is a primary field of his research addressed under Electricity.
In his study, which falls under the umbrella issue of Electric power system, Power system simulation is strongly linked to Wind power.
His Renewable energy research is multidisciplinary, incorporating perspectives in Reliability engineering, Automotive engineering and Energy storage.
Between 2019 and 2021, his most popular works were:
- Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model (44 citations)
- Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties (43 citations)
- Optimal scheduling of distribution systems considering multiple downward energy hubs and demand response programs (26 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Electrical engineering
Joao P. S. Catalao mainly investigates Mathematical optimization, Demand response, Electric power system, Renewable energy and Energy management.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Wind power, Energy and Energy storage.
His Demand response study is associated with Electricity.
His primary area of study in Electricity is in the field of Electricity market.
His Electric power system research incorporates elements of Telecommunications and Flexibility.
The concepts of his Renewable energy study are interwoven with issues in Electricity generation, Scheduling and Reliability engineering.
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