24 resultados para 010405 Statistical Theory


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apresentado ao Instituto de Contabilidade e Administração do Porto para a Dissertação de Mestrado para obtenção do grau de Mestre em Contabilidade e Finanças sob orientação do Mestre Adalmiro Álvaro Malheiro de Castro Andrade Pereira

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Electricity markets are complex environments, involving a large number of different entities, with specific characteristics and objectives, making their decisions and interacting in a dynamic scene. Game-theory has been widely used to support decisions in competitive environments; therefore its application in electricity markets can prove to be a high potential tool. This paper proposes a new scenario analysis algorithm, which includes the application of game-theory, to evaluate and preview different scenarios and provide players with the ability to strategically react in order to exhibit the behavior that better fits their objectives. This model includes forecasts of competitor players’ actions, to build models of their behavior, in order to define the most probable expected scenarios. Once the scenarios are defined, game theory is applied to support the choice of the action to be performed. Our use of game theory is intended for supporting one specific agent and not for achieving the equilibrium in the market. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. The scenario analysis algorithm has been tested within MASCEM and our experimental findings with a case study based on real data from the Iberian Electricity Market are presented and discussed.

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This paper starts by introducing the Grünwald–Letnikov derivative, the Riesz potential and the problem of generalizing the Laplacian. Based on these ideas, the generalizations of the Laplacian for 1D and 2D cases are studied. It is presented as a fractional version of the Cauchy–Riemann conditions and, finally, it is discussed with the n-dimensional Laplacian.

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Presented at 23rd International Conference on Real-Time Networks and Systems (RTNS 2015). 4 to 6, Nov, 2015, Main Track. Lille, France.

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Este trabalho propõe-se a investigar as teorias e modelos organizacionais e a respetiva aplicabilidade nas organizações portuguesas. Após a revisão da literatura sobre modelos organizacionais, foi efetuada uma investigação quantitativa através de um questionário online com a finalidade de avaliar quais os modelos organizacionais predominantemente utilizados e quais as características organizacionais que levam à utilização de determinado modelo. Através de métodos estatísticos analisaram-se os resultados do inquérito com o objetivo de verificar a existência de possíveis relações entre diversas características das organizações e o modelo organizacional usado. Foi possível concluir que o modelo organizacional Burocrático é o modelo predominantemente utilizado pelos respondentes e que as organizações que adotam o modelo burocrático parecem conseguir implementar processos sistemáticos de inovação compatibilizando as regras e procedimentos com a capacidade para aprender e se adaptar. O setor de atividade e a dimensão das organizações são as variáveis que mais influenciam a adoção do modelo organizacional. A investigação contribui para o conhecimento teórico e pratico sobre modelos organizacionais e sobre a sua aplicação em diferentes tipos de organizações portuguesas e para a compreensão e capacitação dos engenheiros do tema da cultura organizacional, de modo a poderem trabalhar de forma efetiva em grupos multidisciplinares que criem valor para as respetivas organizações, inovando e aplicando a engenharia e tecnologia para lidar com as questões e desafios atuais referidos pelo relatório da UNESCO (1).

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Smart Grids (SGs) have emerged as the new paradigm for power system operation and management, being designed to include large amounts of distributed energy resources. This new paradigm requires new Energy Resource Management (ERM) methodologies considering different operation strategies and the existence of new management players such as several types of aggregators. This paper proposes a methodology to facilitate the coalition between distributed generation units originating Virtual Power Players (VPP) considering a game theory approach. The proposed approach consists in the analysis of the classifications that were attributed by each VPP to the distributed generation units, as well as in the analysis of the previous established contracts by each player. The proposed classification model is based in fourteen parameters including technical, economical and behavioural ones. Depending of the VPP strategies, size and goals, each parameter has different importance. VPP can also manage other type of energy resources, like storage units, electric vehicles, demand response programs or even parts of the MV and LV distribution network. A case study with twelve VPPs with different characteristics and one hundred and fifty real distributed generation units is included in the paper.

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This paper presents a decision support methodology for electricity market players’ bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.

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There is no complete overview or discussion of the literature of the economics of federalism and fiscal decentralization, even though scholarly interest in the topic has been increasing significantly over recent years. This paper provides a general, brief but comprehensive overview of the main insights from the literature on fiscal federalism and decentralization. In doing so, literature on fiscal federalism and decentralization is grouped into two main approaches: “first generation of theories” and “second generation of theories”.

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Os mercados financeiros têm um papel fundamental na dinamização das economias modernas. Às empresas cotadas oferece o capital necessário para impulsionar o seu crescimento e aos investidores individuais proporciona a diversificação das suas carteiras, usufruindo desta forma do crescimento e da vitalidade da economia mundial. A gestão de carteiras de ativos financeiros constitui uma área que procura apresentar mecanismos para a obtenção de uma relação ótima entre retorno e risco. Neste sentido, inúmeros estudos têm contribuído de forma significativa para a eficiência e para a prática desta técnica. Esta dissertação pretende analisar a metodologia desenvolvida por Elton-Gruber para a construção de carteiras otimizadas e aplicar as técnicas subjacentes ao mercado acionista português. Para o efeito, serão realizadas pesquisas em fontes bibliográficas da especialidade e serão consultadas bases de dados de cotações históricas das ações e do índice de mercado nacional. A aplicação incidiu sobre ações cotadas no índice PSI-20 durante o período compreendido entre 2010 e 2014. No intuito de melhorar a compreensão das séries de retornos das amostras, o estudo de caráter quantitativo também recorreu à análise estatística. As evidências mostram que a carteira otimizada, no período em análise, contém apenas as ações da empresa Portucel. Este resultado estará condicionado pelos efeitos da crise financeira que iniciou em 2008.