968 resultados para IA supernovae
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This document presents a tool able to automatically gather data provided by real energy markets and to generate scenarios, capture and improve market players’ profiles and strategies by using knowledge discovery processes in databases supported by artificial intelligence techniques, data mining algorithms and machine learning methods. It provides the means for generating scenarios with different dimensions and characteristics, ensuring the representation of real and adapted markets, and their participating entities. The scenarios generator module enhances the MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) simulator, endowing a more effective tool for decision support. The achievements from the implementation of the proposed module enables researchers and electricity markets’ participating entities to analyze data, create real scenarios and make experiments with them. On the other hand, applying knowledge discovery techniques to real data also allows the improvement of MASCEM agents’ profiles and strategies resulting in a better representation of real market players’ behavior. This work aims to improve the comprehension of electricity markets and the interactions among the involved entities through adequate multi-agent simulation.
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This paper presents the Realistic Scenarios Generator (RealScen), a tool that processes data from real electricity markets to generate realistic scenarios that enable the modeling of electricity market players’ characteristics and strategic behavior. The proposed tool provides significant advantages to the decision making process in an electricity market environment, especially when coupled with a multi-agent electricity markets simulator. The generation of realistic scenarios is performed using mechanisms for intelligent data analysis, which are based on artificial intelligence and data mining algorithms. These techniques allow the study of realistic scenarios, adapted to the existing markets, and improve the representation of market entities as software agents, enabling a detailed modeling of their profiles and strategies. This work contributes significantly to the understanding of the interactions between the entities acting in electricity markets by increasing the capability and realism of market simulations.
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Multi-agent approaches have been widely used to model complex systems of distributed nature with a large amount of interactions between the involved entities. Power systems are a reference case, mainly due to the increasing use of distributed energy sources, largely based on renewable sources, which have potentiated huge changes in the power systems’ sector. Dealing with such a large scale integration of intermittent generation sources led to the emergence of several new players, as well as the development of new paradigms, such as the microgrid concept, and the evolution of demand response programs, which potentiate the active participation of consumers. This paper presents a multi-agent based simulation platform which models a microgrid environment, considering several different types of simulated players. These players interact with real physical installations, creating a realistic simulation environment with results that can be observed directly in the reality. A case study is presented considering players’ responses to a demand response event, resulting in an intelligent increase of consumption in order to face the wind generation surplus.
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Dissertação apresentada para obtenção do grau de Mestre em Museologia
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pp. 141-183
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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Filosofia Contemporânea
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pp. 141-183
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pp. 9-30
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pp. 239-258
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pp. 49-59
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pp. 137-143
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pp. 73-80
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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Filosofia Contemporânea
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RESUMO - As infecções do trato urinário são um problema constante nas unidades prestadoras de cuidados de saúde. Sabe-se que a incidência das mesmas é das mais elevadas em termos de infecções associadas aos cuidados de saúde, bem como acarretam fortes custos hospitalares devido ao aumento da demora média de internamento, uso de antibioterapia aumentado, entre outros. De modo a tentar compreender toda esta problemática, com a realização deste trabalho de projecto, pretende-se encontrar o perfil do doente com infecção do trato urinário num serviço de Ortopedia. Através deste mesmo perfil, tornar-se-á mais fácil uma vigilância epidemiológica e intervenções mais direccionadas ao problema em questão. Para tal, pretende-se construir um instrumento de colheita de dados que caracterize o doente de uma forma geral, antes, e durante o próprio internamento. Caso este mesmo instrumento fosse aplicado, pretender-se-ia cruzar as váriáveis concluindo eventualmente o perfil, justificando melhor o facto da existência de infecções urinárias e adequando medidas de prevenção. ------------ -ABSTRACT - The urinary infections are a constant problem in the health care facilities. It is known that the incidence of these infections is one of the biggest in terms of infections associated to health care, as well as they bring higher hospital costs, due to the middle delay of internment, the increased use of antibioterapy, as long as others. In the way of trying to understand all problems, with the realization of this work project, one intends to find the profile of the orthopedic patient with urinary infection, in the Orthopedic Service. Trough this same profile, it will be easier to do an epidemiological surveillance and more directed interventions to the problem in matter. To achieve this goal, it is claimed to build an instrument of data collection that characterizes the patient in a general way, before and during the internment. If this instrument would be applied, it would be intended to cross the variables concluding eventually the profile, justifying better the fact of the existence of urinary infection
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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em História Contemporânea