Electricity market, Wind power, Mathematical optimization, Wavelet transform and Adaptive neuro fuzzy inference system are his primary areas of study. The subject of his Electricity market research is within the realm of Electricity. Victor Mendes has included themes like Volatility, Stochastic programming, Power optimizer and Power electronics in his Wind power study.
His Mathematical optimization research integrates issues from Simulation and Operations research. His Wavelet transform research incorporates elements of Wind power forecasting and Fuzzy logic. His Adaptive neuro fuzzy inference system course of study focuses on Particle swarm optimization and Wavelet.
Victor Mendes focuses on Wind power, Electricity market, Mathematical optimization, Control theory and Permanent magnet synchronous generator. Victor Mendes has researched Wind power in several fields, including Wind speed, Profit, Control engineering, Turbine and Energy storage. His Electricity market research is multidisciplinary, incorporating perspectives in Bidding, Stochastic programming, Environmental economics and Renewable energy.
In his study, Electricity generation is inextricably linked to Nonlinear system, which falls within the broad field of Mathematical optimization. His Control theory research includes elements of Converters and Benchmark. Rectifier is closely connected to Offshore wind power in his research, which is encompassed under the umbrella topic of Permanent magnet synchronous generator.
Victor Mendes mostly deals with Wind power, Electricity market, Mathematical optimization, Stochastic programming and Bidding. His work deals with themes such as Control theory, Control theory, Variable speed wind turbine, Energy storage and Rotor, which intersect with Wind power. His Control theory research includes themes of Permanent magnet synchronous generator and Wind speed.
His studies deal with areas such as Photovoltaic system, Integer programming and Renewable energy as well as Electricity market. In the field of Mathematical optimization, his study on Linear programming overlaps with subjects such as Subtractive color. The various areas that Victor Mendes examines in his Bidding study include Electricity, Profit maximization and Electric power system.
Victor Mendes mainly focuses on Wind power, Mathematical optimization, Electricity market, Energy storage and Renewable energy. His biological study spans a wide range of topics, including Permanent magnet synchronous generator, Fractional-order control, Control theory, Drivetrain and Blade pitch. He mostly deals with Linear programming in his studies of Mathematical optimization.
His study in Electricity market is interdisciplinary in nature, drawing from both Stochastic programming and Bidding. His work in Energy storage tackles topics such as Stochastic optimization which are related to areas like Arbitrage, Expected shortfall and Profit. His work carried out in the field of Renewable energy brings together such families of science as Photovoltaic system and Environmental economics.
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.
Financial literacy and portfolio diversification
Margarida Abreu;Victor Mendes.
Quantitative Finance (2010)
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)
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)
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)
Scheduling of Head-Sensitive Cascaded Hydro Systems: A Nonlinear Approach
J.P.S. Catalao;S.J.P.S. Mariano;V.M.F. Mendes;L.A.F.M. Ferreira.
IEEE Transactions on Power Systems (2009)
A hybrid PSO–ANFIS approach for short-term wind power prediction in Portugal
Hugo Miguel Inácio Pousinho;Víctor Manuel Fernandes Mendes;João Paulo da Silva Catalão;João Paulo da Silva Catalão.
Energy Conversion and Management (2011)
An Artificial Neural Network Approach for Short-Term Wind Power Forecasting in Portugal
J. P. S. Catalao;H. M. I. Pousinho;V. M. F. Mendes.
international conference on intelligent system applications to power systems (2009)
Simulation of a Solar Cell considering Single-Diode Equivalent Circuit Model
R. Melício;V. M. F. Mendes;J. P. S. Catalão;R. Fonte.
Renewable energy & power quality journal (2011)
Short-term electricity prices forecasting in a competitive market by a hybrid PSO–ANFIS approach
Hugo Miguel Inácio Pousinho;Hugo Miguel Inácio Pousinho;Víctor Manuel Fernandes Mendes;João Paulo da Silva Catalão;João Paulo da Silva Catalão.
International Journal of Electrical Power & Energy Systems (2012)
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