48 resultados para Asset Pricing


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Trabalho Final de Mestrado para obteno do grau de Mestre em Engenharia Civil na rea de Especializao de Hidrulica

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Mestrado em Contabilidade e anlise financeira

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Dissertao apresentada Escola Superior de Educao de Lisboa para obteno de grau de mestre em Educao Artstica, na Especializao de Artes Plsticas na Educao

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Trabalho Final de Mestrado para obteno do grau de Mestre em Engenharia Mecnica

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Dissertao apresentada Escola Superior de Educao de Lisboa para obteno de grau de mestre em Educao Artstica, na especializao de Teatro na Educao

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Trabalho Final de Mestrado para obteno do grau de Mestre em Engenharia Informtica e Computadores

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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.

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Trabalho de Projeto para obteno do grau de Mestre em Engenharia Civil

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Mestrado em Fiscalidade

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Trabalho de projeto apresentado Escola Superior de Comunicao Social como parte dos requisitos para obteno de grau de mestre em Gesto Estratgica das Relaes Pblicas.

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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.

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Dissertao apresentada Escola Superior de Educao de Lisboa para obteno de grau de mestre em Cincias da Educao, especialidade Superviso em Educao