2022 - Research.com Electronics and Electrical Engineering in Portugal Leader Award
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 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.
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.
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.
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.
Short-term electricity prices forecasting in a competitive market: A neural network approach
João Paulo da Silva Catalão;Sílvio José Pinto Simões Mariano;V. M. F. Mendes;L. A. F. M. Ferreira.
Electric Power Systems Research (2007)
Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR
Ozan Erdinc;NG Nikolaos Paterakis;Tiago D P Mendes;Anastasios G Bakirtzis.
IEEE Transactions on Smart Grid (2015)
An overview of Demand Response: Key-elements and international experience
NG Nikolaos Paterakis;Ozan Erdinc;Ozan Erdinc;Joao P S Catalao;Joao P S Catalao;Joao P S Catalao.
Renewable & Sustainable Energy Reviews (2017)
A Review of Smart Cities Based on the Internet of Things Concept
Saber Talari;Miadreza Shafie-khah;Pierluigi Siano;Vincenzo Loia.
Energies (2017)
Short-term wind power forecasting in Portugal by neural networks and wavelet transform
João Paulo da Silva Catalão;João Paulo da Silva Catalão;Hugo Miguel Inácio Pousinho;Víctor Manuel Fernandes Mendes.
Renewable Energy (2011)
Optimal Household Appliances Scheduling Under Day-Ahead Pricing and Load-Shaping Demand Response Strategies
Nikolaos G. Paterakis;Ozan Erdinc;Anastasios G. Bakirtzis;Joao P. S. Catalao.
IEEE Transactions on Industrial Informatics (2015)
Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Wind Power Forecasting in Portugal
J P S Catalão;H M I Pousinho;V M F Mendes.
IEEE Transactions on Sustainable Energy (2011)
Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Electricity Prices Forecasting
J P S Catalão;H M I Pousinho;V M F Mendes.
IEEE Transactions on Power Systems (2011)
Biomass combustion systems: A review on the physical and chemical properties of the ashes
L.J.R. Nunes;J.C.O. Matias;J.P.S. Catalão;J.P.S. Catalão;J.P.S. Catalão.
Renewable & Sustainable Energy Reviews (2016)
A review on torrefied biomass pellets as a sustainable alternative to coal in power generation
L.J.R. Nunes;J.C.O. Matias;J.P.S. Catalão;J.P.S. Catalão.
Renewable & Sustainable Energy Reviews (2014)
Sustainable Energy, Grids and Networks
(Impact Factor: 5.405)
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