ANN-Based LMP forecasting in a distribution network with large penetration of DG

In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.

Energy and reserve provision dispatch considering distributed generation and demand response

In competitive electricity markets with deep concerns at the efficiency level, demand response programs gain considerable significance. In the same way, distributed generation has gained increasing importance in the operation and planning of power systems. Grid operators and utilities are taking new initiatives, recognizing the value of demand response and of distributed generation for grid reliability and for the enhancement of organized spot market´s efficiency. Grid operators and utilities become able to act in both energy and reserve components of electricity markets. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve by a virtual power player that operates a distribution network. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus distribution network with 32 medium voltage consumers.

ANN based support for distributed energy resources scheduling in smart grids

The future scenarios for operation of smart grids are likely to include a large diversity of players, of different types and sizes. With control and decision making being decentralized over the network, intelligence should also be decentralized so that every player is able to play in the market environment. In the new context, aggregator players, enabling medium, small, and even micro size players to act in a competitive environment, will be very relevant. Virtual Power Players (VPP) and single players must optimize their energy resource management in order to accomplish their goals. This is relatively easy to larger players, with financial means to have access to adequate decision support tools, to support decision making concerning their optimal resource schedule. However, the smaller players have difficulties in accessing this kind of tools. So, it is required that these smaller players can be offered alternative methods to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), intended to support smaller players’ resource scheduling. The used methodology uses a training set that is built using the energy resource scheduling solutions obtained with a reference optimization methodology, a mixed-integer non-linear programming (MINLP) in this case. The trained network is able to achieve good schedule results requiring modest computational means.

Técnicas de rating em contexto de crise no setor bancário português

Dissertação para a obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Mestre Adalmiro Álvaro Malheiro de Castro Andrade Pereira

Coordinated runtime adaptations in cooperative open real-time systems

This paper proposes an one-step decentralised coordination model based on an effective feedback mechanism to reduce the complexity of the needed interactions among interdependent nodes of a cooperative distributed system until a collective adaptation behaviour is determined. Positive feedback is used to reinforce the selection of the new desired global service solution, while negative feedback discourages nodes to act in a greedy fashion as this adversely impacts on the provided service levels at neighbouring nodes. The reduced complexity and overhead of the proposed decentralised coordination model are validated through extensive evaluations.

Bridging between programming exercises formats with BabeLO

Assessment plays a vital role in learning. This is certainly the case with assessment of computer programs, both in curricular and competitive learning. The lack of a standard – or at least a widely used format – creates a modern Ba- bel tower made of Learning Objects, of assessment items that cannot be shared among automatic assessment systems. These systems whose interoperability is hindered by the lack of a common format include contest management systems, evaluation engines, repositories of learning objects and authoring tools. A prag- matical approach to remedy this problem is to create a service to convert among existing formats. A kind of translation service specialized in programming prob- lems formats. To convert programming exercises on-the-fly among the most used formats is the purpose of the BabeLO – a service to cope with the existing Babel of Learning Object formats for programming exercises. BabeLO was designed as a service to act as a middleware in a network of systems typically used in auto- matic assessment of programs. It provides support for multiple exercise formats and can be used by: evaluation engines to assess exercises regardless of its format; repositories to import exercises from various sources; authoring systems to create exercises in multiple formats or based on exercises from other sources. This paper analyses several of existing formats to highlight both their differ- ences and their similar features. Based on this analysis it presents an approach to extensible format conversion. It presents also the features of PExIL, the pivotal format in which the conversion is based; and the function definitions of the proposed service – BabeLO. Details on the design and implementation of BabeLO, including the service API and the interfaces required to extend the conversion to a new format, are also provided. To evaluate the effectiveness and efficiency of this approach this paper reports on two actual uses of BabeLO: to relocate exercises to a different repository; and to use an evaluation engine in a network of heterogeneous systems.

Prevenção e mitigação do risco de incumprimento mais eficaz na banca de retalho

O âmbito deste trabalho é o da prevenção e mitigação do risco de uma carteira de crédito de um Banco de retalho, com uma quota significativa no mercado Português. A antecipação de potencial incumprimento é crítica para a atuação atempada do Banco junto dos clientes. Pretendeu-se analisar o poder preditivo de uma base de informação exógena (a Central) que inclui as responsabilidades creditícias dos clientes do Banco no Sistema Financeiro Português. As principais fases deste trabalho consistiram na análise e estruturação da informação da Central, de modo a integrá-la com a do Banco, compreensão das condicionantes desta informação, nomeadamente o desfasamento temporal, e finalmente, no desenvolvimento de um modelo de scoring, compatível com os sistemas e tecnologias do Banco, e de modo a alavancar o processo existente.

Detection of cardiac biomarker proteins using a disposable based on a molecularly imprinted polymer grafted onto graphite

A low-cost disposable was developed for rapid detection of the protein biomarker myoglobin (Myo) as a model analyte. A screen printed electrode was modified with a molecularly imprinted material grafted on a graphite support and incorporated in a matrix composed of poly(vinyl chloride) and the plasticizer o-nitrophenyloctyl ether. The protein-imprinted material (PIM) was produced by growing a reticulated polymer around a protein template. This is followed by radical polymerization of 4-styrenesulfonic acid, 2-aminoethyl methacrylate hydrochloride, and ethylene glycol dimethacrylate. The polymeric layer was then covalently bound to the graphitic support, and Myo was added during the imprinting stage to act as a template. Non-imprinted control materials (CM) were also prepared by omitting the Myo template. Morphological and structural analysis of PIM and CM by FTIR, Raman, and SEM/EDC microscopies confirmed the modification of the graphite support. The analytical performance of the SPE was assessed by square wave voltammetry. The average limit of detection is 0.79 μg of Myo per mL, and the slope is −0.193 ± 0.006 μA per decade. The SPE-CM cannot detect such low levels of Myo but gives a linear response at above 7.2 μg · mL−1, with a slope of −0.719 ± 0.02 μA per decade. Interference studies with hemoglobin, bovine serum albumin, creatinine, and sodium chloride demonstrated good selectivity for Myo. The method was successfully applied to the determination of Myo urine and is conceived to be a promising tool for screening Myo in point-of-care patients with ischemia.

Os efeitos da intervenção no reconto e nas narrativas de experiência pessoal em crianças de idade pré-escolar

As competências narrativas emergem desde cedo, e vão sendo adquiridas ao longo do desenvolvimento da criança. No entanto não significa que se desenrolam do mesmo modo em todos as crianças pois crianças com dificuldades na produção narrativa poderão ter necessidade de um ensino específico e estruturado. Sendo a narrativa um aspeto importante da linguagem, é fundamental agir o mais cedo possível para prevenir futuros problemas, tanto no percurso académico como social. Tendo por base as questões em torno da produção narrativa, o presente estudo tem como objetivo compreender a influência da intervenção narrativa no reconto e nas narrativas de experiência pessoal em oito crianças do pré-escolar (5/6 anos), estando um dos participantes diagnosticado com uma condição do espetro do autismo. Ao longo do estudo, todos os participantes foram sendo avaliados pela escala Narrative Language Measures durante 10 sessões e quanto à intervenção narrativa denominada Campeões de histórias consistiu em 21 sessões com duração média de 25 minutos. Neste estudo recorremos ao delineamento experimental de linha de base múltipla, o que nos permitiu analisar o desempenho de cada participante ao longo do tempo. Os resultados revelaram que através da intervenção narrativa houve um aumento na cotação dos testes da escala em todos os participantes, inclusive na criança com condição do espetro autista, e que esses se mantiveram sempre acima dos níveis basais após um período de duas semanas sem intervenção. Deste modo, podemos concluir que a intervenção narrativa produziu efeitos relevantes quer no reconto, quer nas narrativas de experiência pessoal dos participantes e que se apresenta como uma intervenção económica, rápida e eficaz.

O presente e o futuro da supervisão das instituições financeiras em Portugal

Dissertação de Mestrado apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Contabilidade e Finanças sob orientação do Doutor Armindo Licínio da Silva Macedo “Esta versão contém críticas e sugestões dos elementos do júri”.

Relatório de estágio em Ensino do 1.º Ciclo do Ensino Básico

Relatório EPE - Relatório de estágio em Educação Pré-Escolar: O presente relatório de estágio foi realizado no âmbito da Unidade Curricular (UC) de Prática Pedagógica Supervisionada na Educação Pré-Escolar, inserida no Mestrado em Educação Pré-Escolar e Ensino do 1.º Ciclo do Ensino Básico. Sendo que este perspetiva o percurso de formação da mestranda, importa conceptualizar os referenciais teóricos e legais que sustentaram a sua ação e a metodologia utlizada durante todo o processo – investigação-ação – que inclui os seguintes processos educativos: a observação, a planificação, a ação, a avaliação e a reflexão. A Prática Pedagógica Supervisionada realizou-se na valência de creche, no Colégio Novo da Maia e teve como principais objetivos o desenvolvimento das competências profissionais e disposições subjacentes ao Perfil Geral e Específico de Desempenho do Educador de Infância. Apoiando a sua prática através da observação, recolha de dados, análise constante da ação e reflexão crítica permanente, a formanda, regulou-se pela metodologia de investigação-ação enquanto “processo em que os participantes analisam as suas próprias práticas educativas de uma forma sistemática e aprofundada” (Coutinho et al, 2009, p.360), com vista ao desenvolvimento de competências relativas a um educador enquanto investigador da própria ação. Importa acrescentar que o período de estágio foi de 210 horas e decorreu em díade de formação. A colaboração entre todos os atores intervenientes no contexto da prática pedagógica supervisionada “visa a construção de um perfil profissional que promova o desenvolvimento das competências socioprofissionais e pessoais, de forma fundamentada, reflexiva, integrada e autonomizante, à luz do princípio da aprendizagem ao longo da vida” (Ribeiro, 2013, p.2).