Intelligent decision making in electricity markets: simulated annealing Q-Learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM is integrated with ALBidS, a system that provides several dynamic strategies for agents’ behavior. This paper presents a method that aims at enhancing ALBidS competence in endowing market players with adequate strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible actions. These actions are defined accordingly to the most probable points of bidding success. With the purpose of accelerating the convergence process, a simulated annealing based algorithm is included.

A short-term risk management tool applied to OMEL electricity market using particle swarm optimization

Short-term risk management is highly dependent on long-term contractual decisions previously established; risk aversion factor of the agent and short-term price forecast accuracy. Trying to give answers to that problem, this paper provides a different approach for short-term risk management on electricity markets. Based on long-term contractual decisions and making use of a price range forecast method developed by the authors, the short-term risk management tool presented here has as main concern to find the optimal spot market strategies that a producer should have for a specific day in function of his risk aversion factor, with the objective to maximize the profits and simultaneously to practice the hedge against price market volatility. Due to the complexity of the optimization problem, the authors make use of Particle Swarm Optimization (PSO) to find the optimal solution. Results from realistic data, namely from OMEL electricity market, are presented and discussed in detail.

Cost dependent strategy for electricity markets bidding based on adaptive reinforcement learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM provides several dynamic strategies for agents’ behavior. This paper presents a method that aims to provide market players with strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible bids. These bids are defined accordingly to the cost function that each producer presents.

A transição do pré-escolar para o 1ºCEB: uma preocupação de todos

Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar

Proposta de normalização da gestão de sinistros, na relação entre hospitais e fornecedores de seguros de saúde

Trabalho de projeto apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Audiovisual e Multimédia.

Relatório de estágio

Resumo I (Prática Pedagógica) - O Estágio do Ensino Especializado realizado no presente ano lectivo foi elaborado na Academia de Música de Lisboa em três turmas. Vários foram os desafios encontrados no decorrer do ano lectivo, como por exemplo a instabilidade das turmas, a falta do quadro na sala em algumas aulas e a pouca experiência anterior na área de docência. A realização deste estágio permitiu experimentar actividades e estratégias aprendidas nas disciplinas do mestrado e estimulou uma atitude de reflexão regular sobre as escolhas pedagógicas elaboradas e sobre a resposta dos alunos. Também o feedback dos professores da Unidade Curricular de Didáctica do Ensino Especializado foi essencial na consciencialização de aspectos que teriam que ser mudados na minha abordagem do ensino: fazer actividades mais formativas e menos avaliativas, dar mais feedback, não avançar para outro nível enquanto uma tarefa ainda não estiver consolidada, não modificar as instruções tão rapidamente, ter cuidado com a apresentação visual das células rítmicas e pensar em soluções para quando os alunos estão cansados. Foi também importante reflectir sobre os planos de aula realizados ao longo do ano e sobre o que não seria realizado da mesma forma, nomeadamente na introdução de células rítmicas, introdução de funções harmónicas e cadências. Durante este ano foi feito um esforço para melhorar estes aspectos, no entanto ainda não foi possível implementar todas as mudanças. De qualquer modo, esta reflexão é um bom ponto de partida para o planeamento do próximo ano e um exemplo da atitude que deve acompanhar-me durante toda a minha actividade enquanto docente.

Adaptive learning in agents behaviour: A framework for electricity markets simulation

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. 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. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. This paper presents a methodology to provide decision support to electricity market negotiating players. This model allows integrating different strategic approaches for electricity market negotiations, and choosing the most appropriate one at each time, for each different negotiation context. This methodology is integrated in ALBidS (Adaptive Learning strategic Bidding System) – a multiagent system that provides decision support to MASCEM's negotiating agents so that they can properly achieve their goals. ALBidS uses artificial intelligence methodologies and data analysis algorithms to provide effective adaptive learning capabilities to such negotiating entities. The main contribution is provided by a methodology that combines several distinct strategies to build actions proposals, so that the best can be chosen at each time, depending on the context and simulation circumstances. The choosing process includes reinforcement learning algorithms, a mechanism for negotiating contexts analysis, a mechanism for the management of the efficiency/effectiveness balance of the system, and a mechanism for competitor players' profiles definition.

Strategic Bidding in Electricity Markets: An agent-based simulator with game theory for scenario analysis

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.

Necessidades em cuidados paliativos do doente pós-AVC

Relatório de Prática Clínica apresentado à Escola Superior de Saúde Dr. Lopes Dias do Instituto Politécnico de Castelo Branco para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Cuidados Paliativos, realizada sob a orientação científica do Professora Doutora Ana Paula Gonçalves Antunes Sapeta, do Instituto Politécnico de Castelo Branco.

O dever de obediência a ordens ilegais na Guarda Nacional Republicana

The Republican National Guard (GNR) is a military structure and hierarchical force where discipline and obedience is a serious matter, but at the same time, the scope of its activity relates to the protection of the rights, freedoms and guarantees of citizens and the primacy of public interest. While security force, GNR ensures democratic law, guarantee the internal security and the rights of citizens. The controversial issue that lies at the heart of this work its related with the balance between the hierarchy and the written law. The hierarchy, also established by law, with given powers, exist to apply the law. However, the rule of law has exceptions. Which institute to prioritize, hierarchy or the law. And within the law, its rules or the exceptions. Who decides? The GNR's officers have to obey the laws and regulations and comply with the accuracy and timeliness determinations, orders and instructions issued by a superior, given in terms of service, as long as does not involve the practice of crime. The GNR´s officer with command tasks exercises power of authority inherent in these functions, and the corresponding disciplinary authority, being responsible for acts by himself or by his order are practiced. Identify situations of exception to law enforcement, the situations in which one must obey illegal orders, is difficult and thankless, it requires conferred authority and raises the weight of responsibility for decisions and orders issued.

Relatório de estágio curricular Federação Portuguesa de Futebol

This report aims to present the work that has been developed throughout the internship in the Portuguese Football Federation. First it is presented a characterization of the host institution, not only on its legal framework, but also on how it works. Then it´s revealed the work done during the internship, which consisted mainly in the preparation of a study about the opened / litigated cases in season 2012/2013 in what football concerns, that is to say, those cases where the Portuguese Football Federation Disciplinary Board, which is always the decision-making body, had direct intervention. The study is separated into two sections (one regards the professional football and the other the non-professional football) because each one have their own competence, and the processes obey to different formalities in the two sections. Within each section are defined all process forms, and it’s made an evaluation about their decisions and the timing of each procedural stage. What is expected with this work is that it can clarify and promote some aspects of the functioning of the sports justice in what football concerns.

A Psychosocial Approach to Understanding Causality Assessment in Early Phase Oncology Clinical Trials: A Phenomenological Study

Research Question: What are the psychosocial factors that affect causality assessment in early phase oncology clinical trials? Methods: Thirty-two qualitative interviews were explicated with the aid of “Naturalistic Decision Making”. Data explication consisted of phenomenological reduction, delineating and clustering meaning units, forming themes, and creating a composite summary. Participants were members of the National Cancer Institute of Canada’s Clinical Trial Group Investigative New Drug committee. Results: The process of assigning causality is extremely subjective and full of uncertainty. Physicians had no formal training, nor a tool to assist them with this process. Physicians were apprehensive about their decisions and felt pressure from their patients, as well as the pharmaceutical companies sponsoring the trial. Conclusions: There are many problem areas when attributing causality, all of which have serious consequences, but clinicians used a variety of methods to cope with these problem areas.

Driedger's 'Modern Principle' at the Supreme Court of Canada: Interpretation, Justification, Legitimization

Un résumé en français est également disponible

La liberté d'expression et l'administration de la justice : le choc de deux paradigmes

"Thèse présentée à la Faculté des études supérieures En vue de l'obtention du grade de Docteur en droit (LL.D.)"

Erreurs arithmétiques des élèves et interventions de l'enseignant débutant : une analyse didactique en termes de schèmes

Ancrée dans le domaine de la didactique des mathématiques, notre thèse cible le « travail de l’erreur » effectué par trois enseignants dans leur première année de carrière. Libérés des contraintes associées au système de formation initiale, ces sujets assument pleinement leur nouveau rôle au sein de la classe ordinaire. Ils se chargent, entre autres, de l’enseignement de l’arithmétique et, plus précisément, de la division euclidienne. Parmi leurs responsabilités se trouvent le repérage et l’intervention sur les procédures erronées. Le « travail de l’erreur » constitue l’expression spécifique désignant cette double tâche (Portugais 1995). À partir d’un dispositif de recherche combinant les méthodes d’observation et d’entrevue, nous documentons des séances d’enseignement afin de dégager les situations où nos maîtres du primaire identifient des erreurs dans les procédures algorithmiques des élèves et déploient, subséquemment, des stratégies d’intervention. Nous montrons comment ces deux activités sont coordonnées en décrivant les choix, décisions et actions mises en œuvre par nos sujets. Il nous est alors possible d’exposer l’organisation de la conduite de ces jeunes enseignants en fonction du traitement effectif de l’erreur arithmétique. En prenant appui sur la théorie de champs conceptuels (Vergnaud 1991), nous révélons l’implicite des connaissances mobilisées par nos sujets et mettons en relief les mécanismes cognitifs qui sous-tendent cette activité professionnelle. Nous pouvons ainsi témoigner, du moins en partie, du travail de conceptualisation réalisé in situ. Ce travail analytique permet de proposer l’existence d’un schème du travail de l’erreur chez ces maîtres débutants, mais aussi de spécifier sa nature et son fonctionnement. En explorant le versant cognitif de l’activité enseignante, notre thèse aborde une nouvelle perspective associée au thème du repérage et de l’intervention sur l’erreur de calcul de divisions en colonne.