Investigation on the development of bidding strategies for a wind farm owner

In this paper, the development of bidding strategies is investigated for a wind farm owner. The optimization model is characterized by making the analysis of scenarios. The proposed approach allows evaluating alternative production strategies in order to submit bids to the electricity market with the goal of maximizing profits. The problem is formulated as a linear programming problem. An application to a case study is presented

Aumento de capacidade em sistemas MIMO coordenados para advanced LTE com utilização de repetidores fixos

Com vista a revolucionar o sector das comunicações móveis, muito à custa dos elevados débitos prometidos, a tecnologia LTE recorre a uma técnica que se prevê que seja bastante utilizada nas futuras redes de comunicações móveis: Relaying. Juntamente com esta técnica, o LTE recorre à técnica MIMO, para melhorar a qualidade da transmissão em ambientes hostis e oferecer elevados ritmos de transmissão. No planeamento das próximas redes LTE, o recurso à técnica Relaying é frequente. Esta técnica, tem como objectivo aumentar a cobertura e/ou capacidade da rede, e ainda melhorar o seu desempenho em condições de fronteira de célula. A performance de uma RS depende da sua localização, das condições de propagação do canal rádio a que tanto a RS como o EU estão sujeitos, e ainda da capacidade que a RS tem de receber, processar e reencaminhar a informação. O objectivo da tese é estudar a relação existente entre o posicionamento de uma RS e o seu desempenho. Desta forma, pretende-se concluir qual a posição ideal de uma RS (tanto do tipo AF como SDF). Para além deste estudo, é apresentado um comparativo do desempenho dos modos MIMO TD e OL-SM, onde se conclui em que condições deverão ser utilizados, numa rede LTE equipada com FRSs.

A Técnica de Dança Clássica na Performance Contemporânea : desenvolvimento de competências técnicas e artísticas, nos alunos dos últimos anos da Academia de Dança Contemporânea de Setúbal, visando a sua entrada no meio artístico profissional

Relatório Final de Estágio apresentado à Escola Superior de Dança com vista à obtenção do grau de Mestre em Ensino de Dança.

Efeito dos parâmetros técnicos na dose e qualidade de imagem num sistema de radiografia computorizada

Mestrado em Radiações Aplicadas às Tecnologias da Saúde - Ramo de especialização: Imagem Digital com Radiação X

Amarração de plataformas offshore flutuantes com cabos de poliéster

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Estruturas

Diagnóstico e análise da rede social: o caso da prestação de cuidados continuados a crianças com diabetes

Mestrado em Intervenção Sócio-Organizacional na Saúde - Ramo de especialização: Qualidade e Tecnologias da Saúde

A experiência de marca na fidelização do consumidor: o caso Starbucks Portugal

Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Publicidade e Marketing.

Power Producers Trading Electricity in Both Pool and Forward Markets

The electricity industry throughout the world, which has long been dominated by vertically integrated utilities, has experienced major changes. Deregulation, unbundling, wholesale and retail wheeling, and real-time pricing were abstract concepts a few years ago. Today market forces drive the price of electricity and reduce the net cost through increased competition. As power markets continue to evolve, there is a growing need for advanced modeling approaches. This article addresses the challenge of maximizing the profit (or return) of power producers through the optimization of their share of customers. Power producers have fixed production marginal costs and decide the quantity of energy to sell in both day-ahead markets and a set of target clients, by negotiating bilateral contracts involving a three-rate tariff. Producers sell energy by considering the prices of a reference week and five different types of clients with specific load profiles. They analyze several tariffs and determine the best share of customers, i.e., the share that maximizes profit. © 2014 IEEE.

Power producers trading electricity in both pool and forward markets

The electricity industry throughout the world, which has long been dominated by vertically integrated utilities, has experienced major changes. Deregulation, unbundling, wholesale and retail wheeling, and real-time pricing were abstract concepts a few years ago. Today market forces drive the price of electricity and reduce the net cost through increased competition. As power markets continue to evolve, there is a growing need for advanced modeling approaches. This article addresses the challenge of maximizing the profit (or return) of power producers through the optimization of their share of customers. Power producers have fixed production marginal costs and decide the quantity of energy to sell in both day-ahead markets and a set of target clients, by negotiating bilateral contracts involving a three-rate tariff. Producers sell energy by considering the prices of a reference week and five different types of clients with specific load profiles. They analyze several tariffs and determine the best share of customers, i.e., the share that maximizes profit. © 2014 IEEE.

Machine learning Vasicek model calibration with Gaussian processes

In this article, we calibrate the Vasicek interest rate model under the risk neutral measure by learning the model parameters using Gaussian processes for machine learning regression. The calibration is done by maximizing the likelihood of zero coupon bond log prices, using mean and covariance functions computed analytically, as well as likelihood derivatives with respect to the parameters. The maximization method used is the conjugate gradients. The only prices needed for calibration are zero coupon bond prices and the parameters are directly obtained in the arbitrage free risk neutral measure.

A stochastic programming approach for the development of offering strategies for a wind power producer

A stochastic programming approach is proposed in this paper for the development of offering strategies for a wind power producer. The optimization model is characterized by making the analysis of several scenarios and treating simultaneously two kinds of uncertainty: wind power and electricity market prices. The approach developed allows evaluating alternative production and offers strategies to submit to the electricity market with the ultimate goal of maximizing profits. An innovative comparative study is provided, where the imbalances are treated differently. Also, an application to two new realistic case studies is presented. Finally, conclusions are duly drawn.

Grupos heterogéneos e a diferenciação pedagógica

Relatório de Prática Profissional Supervisionada, Mestrado em Educação Pré-Escolar

Detect and pointing algorithm's performance for a planar smart antenna array: a review

An adaptive antenna array combines the signal of each element, using some constraints to produce the radiation pattern of the antenna, while maximizing the performance of the system. Direction of arrival (DOA) algorithms are applied to determine the directions of impinging signals, whereas beamforming techniques are employed to determine the appropriate weights for the array elements, to create the desired pattern. In this paper, a detailed analysis of both categories of algorithms is made, when a planar antenna array is used. Several simulation results show that it is possible to point an antenna array in a desired direction based on the DOA estimation and on the beamforming algorithms. A comparison of the performance in terms of runtime and accuracy of the used algorithms is made. These characteristics are dependent on the SNR of the incoming signal.

Multiobjective design of viscoelastic laminated composite sandwich panels

The optimal design of laminated sandwich panels with viscoelastic core is addressed in this paper, with the objective of simultaneously minimizing weight and material cost and maximizing modal damping. The design variables are the number of layers in the laminated sandwich panel, the layer constituent materials and orientation angles and the viscoelastic layer thickness. The problem is solved using the Direct MultiSearch (DMS) solver for multiobjective optimization problems which does not use any derivatives of the objective functions. A finite element model for sandwich plates with transversely compressible viscoelastic core and anisotropic laminated face layers is used. Trade-off Pareto optimal fronts are obtained and the results are analyzed and discussed.

Interação social entre agentes em ambientes de recursos limitados

Trabalho final de Mestrado para obtenção do grau de Mestre em Engenharia de Redes de Comunicação e Multimédia