Particle swarm optimization applied to integrated demand response resources scheduling

The concept of demand response has a growing importance in the context of the future power systems. Demand response can be seen as a resource like distributed generation, storage, electric vehicles, etc. All these resources require the existence of an infrastructure able to give players the means to operate and use them in an efficient way. This infrastructure implements in practice the smart grid concept, and should accommodate a large number of diverse types of players in the context of a competitive business environment. In this paper, demand response is optimally scheduled jointly with other resources such as distributed generation units and the energy provided by the electricity market, minimizing the operation costs from the point of view of a virtual power player, who manages these resources and supplies the aggregated consumers. The optimal schedule is obtained using two approaches based on particle swarm optimization (with and without mutation) which are compared with a deterministic approach that is used as a reference methodology. A case study with two scenarios implemented in DemSi, a demand Response simulator developed by the authors, evidences the advantages of the use of the proposed particle swarm approaches.

Avaliação da distribuição de dose no CTV-PTV através de imagem guiada em doentes com carcinoma da próstata

Mestrado em Radioterapia.

A long-term swarm intelligence hedging tool applied to electricity markets

This paper proposes a swarm intelligence long-term hedging tool to support electricity producers in competitive electricity markets. This tool investigates the long-term hedging opportunities available to electric power producers through the use of contracts with physical (spot and forward) and financial (options) settlement. To find the optimal portfolio the producer risk preference is stated by a utility function (U) expressing the trade-off between the expectation and the variance of the return. Variance estimation and the expected return are based on a forecasted scenario interval determined by a long-term price range forecast model, developed by the authors, whose explanation is outside the scope of this paper. The proposed tool makes use of Particle Swarm Optimization (PSO) and its performance has been evaluated by comparing it with a Genetic Algorithm (GA) based approach. To validate the risk management tool a case study, using real price historical data for mainland Spanish market, is presented to demonstrate the effectiveness of the proposed methodology.

Multi-dimensional scaling applied to histogram-based DNA analysis

This paper aims to study the relationships between chromosomal DNA sequences of twenty species. We propose a methodology combining DNA-based word frequency histograms, correlation methods, and an MDS technique to visualize structural information underlying chromosomes (CRs) and species. Four statistical measures are tested (Minkowski, Cosine, Pearson product-moment, and Kendall τ rank correlations) to analyze the information content of 421 nuclear CRs from twenty species. The proposed methodology is built on mathematical tools and allows the analysis and visualization of very large amounts of stream data, like DNA sequences, with almost no assumptions other than the predefined DNA “word length.” This methodology is able to produce comprehensible three-dimensional visualizations of CR clustering and related spatial and structural patterns. The results of the four test correlation scenarios show that the high-level information clusterings produced by the MDS tool are qualitatively similar, with small variations due to each correlation method characteristics, and that the clusterings are a consequence of the input data and not method’s artifacts.

Comparison between deterministic and meta-heuristic methods applied to ancillary services dispatch

This paper proposes two meta-heuristics (Genetic Algorithm and Evolutionary Particle Swarm Optimization) for solving a 15 bid-based case of Ancillary Services Dispatch in an Electricity Market. A Linear Programming approach is also included for comparison purposes. A test case based on the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is used to demonstrate that the use of meta-heuristics is suitable for solving this kind of optimization problem. Faster execution times and lower computational resources requirements are the most relevant advantages of the used meta-heuristics when compared with the Linear Programming approach.

Modeling group decision meeting participants with an Agent-based approach

This paper aims to present a multi-agent model for a simulation, whose goal is to help one specific participant of multi-criteria group decision making process.This model has five main intervenient types: the human participant, who is using the simulation and argumentation support system; the participant agents, one associated to the human participant and the others simulating the others human members of the decision meeting group; the directory agent; the proposal agents, representing the different alternatives for a decision (the alternatives are evaluated based on criteria); and the voting agent responsiblefor all voting machanisms.At this stage it is proposed a two phse algorithm. In the first phase each participantagent makes his own evaluation of the proposals under discussion, and the voting agent proposes a simulation of a voting process.In the second phase, after the dissemination of the voting results,each one ofthe partcipan agents will argue to convince the others to choose one of the possible alternatives. The arguments used to convince a specific participant are dependent on agent knowledge about that participant. This two-phase algorithm is applied iteratively.

Otimização do co-registo metabolismo-morfologia em estudos de PET/CT com 18F-DG de nódulos pulmonares: comparação de dois protocolos - 4D vs CT lento

Mestrado em Medicina Nuclear - Área de especialização: Tomografia por Emissão de Positrões.

Distribuição espacial da co-infecção M. tuberculosis/HIV no Estado de São Paulo, 1991-2001

OBJETIVO: Avaliar o padrão espacial de incidência de tuberculose na epidemia de Aids, a fim de verificar a influência do espaço físico na causalidade. MÉTODOS: Foram incluídos os casos de Aids notificados ao Ministério da Saúde, entre 1991 e 2001, provenientes do Estado de São Paulo. Os casos foram estratificados em municípios de residência, em regiões de saúde, em categorias de transmissão de Aids, em sexos e em anos do diagnóstico. Um modelo geoestatístico gaussiano foi usado para construir um mapa temático de risco, utilizando a incidência de tuberculose em casos de Aids como variável de resposta. RESULTADOS: A análise exploratória mostrou dois padrões de incidência de Aids: um, para a capital do Estado, e outro, com risco crescente, para os outros municípios. As regiões mais populosas estão sob maiores riscos de transmissão de tuberculose, mostrando um padrão concordante com o padrão de ocupação do território, do leste para o oeste. As regiões de saúde com os maiores coeficientes de incidência de Aids (por 10 mil habitantes) foram Santos (53,5), São José do Rio Preto (43,1), Ribeirão Preto (42,4) e São Paulo (40,3). As regiões de saúde com maiores incidências de tuberculose em casos de Aids foram Santos (44,9%), Franco da Rocha (39,9%), Osasco (39,6%) e São Paulo (38,9%). CONCLUSÕES: Os resultados permitem concluir que as coordenadas geográficas estão associadas ao risco da tuberculose, mas não de Aids.

Commercial agents portfolio optimization in electricity markets

As it is well known, competitive electricity markets require new computing tools for power companies that operate in retail markets in order to enhance the management of its energy resources. During the last years there has been an increase of the renewable penetration into the micro-generation which begins to co-exist with the other existing power generation, giving rise to a new type of consumers. This paper develops a methodology to be applied to the management of the all the aggregators. The aggregator establishes bilateral contracts with its clients where the energy purchased and selling conditions are negotiated not only in terms of prices but also for other conditions that allow more flexibility in the way generation and consumption is addressed. The aggregator agent needs a tool to support the decision making in order to compose and select its customers' portfolio in an optimal way, for a given level of profitability and risk.

Heterodox economics approach to business co-operation

Purpose- Economics and business have evolved as sciences in order to accommodate more of ‘real world’ solutions for the problems approached. In many cases, both business and economics have been supported by other disciplines in order to obtain a more complete framework for the study of complex issues. The aim of this paper is to explore the contribution of three heterodox economics disciplines to the knowledge of business co-operation. Design/methodology/approach- This approach is theoretical and it shows that many relevant aspects of business co-operation have been proposed by economic geography, institutional economics, and economic sociology. Findings- This paper highlights the business mechanisms of co-operation, reflecting on the role of places, institution and the social context where businesses operate. Research Implications- It contributes with a theoretical framework for the explanation of business co-operations and networks that goes beyond the traditional economics theories. Originality/value- This paper contributes with a framework for the study of business co-operation both from an economics and management perspective. This framework embodies a number of non-quantitative issues that are critical for understanding the complex networks in which firms operate.

Co-ocorrência de violência física conjugal e contra filhos em serviços de saúde

OBJETIVO: Apresentar um perfil de ocorrência e co-ocorrência de violência física conjugal e contra filhos em uma população atendida em serviço de saúde, segundo diferentes características socioeconômicas e demográficas. MÉTODOS: Estudo transversal sobre violência familiar e prematuridade, realizado na cidade do Rio de Janeiro, em 2000. Foram elegíveis para a análise os domicílios contendo mulheres vivendo com companheiro e nos quais coabitavam com pelo menos um filho (ou enteado) de até 18 anos (n=205). Condições socioeconômicas, demográficas e relativas aos hábitos de vida da mulher e do companheiro foram consideradas como potenciais preditores de violência. A variável de desfecho foi analisada em quatro níveis: ausência de violência física no domicílio; ocorrência de violência física no casal; contra pelo menos um filho; e coocorrência. Utilizou-se um modelo logito-multinomial para as projeções de prevalências desses matizes de violência segundo os descritores selecionados. RESULTADOS: Os fatores associados ao maior risco do desfecho foram: idade materna >25 anos; companheiro com primeiro grau incompleto, presença de >2 crianças menores de cinco anos no domicílio; e abuso de álcool e drogas ilícitas pelo companheiro. Em domicílios com todas essas características, a estimativa conjunta de prevalência projetada de violência no casal e contra filhos chegou a 90,2%, sendo de 60,6% a de coocorrência. Na ausência desses fatores, as estimativas foram consideravelmente menores (18,9% e 0,2%, respectivamente). CONCLUSÕES: Profissionais de saúde não devem somente atentar à presença de um gradiente situacional, mas também ao fato de que existe paulatinamente mais chance dos agravos violentos acontecerem como um fenômeno englobando todo o grupo familiar.

Fungos endofíticos em Eugenia brasiliensis: prospecção química, biológica, enzimática e avaliação do co-cultivo e epigenética em Xylaria cubensis, Diaporthe sp. e Colletotrichum sp.

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Dissolução redutiva de minério de ferro por Acidithiobacillus ferrooxidans para a recuperação de metais de interesse econômico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Optical demultiplexer based on an a-SiC:H voltage controlled device

In this paper we present results on the use of a semiconductor heterostructure based on a-SiC:H as a wavelength-division demultiplexer for the visible light spectrum. The proposed device is composed of two stacked p-i-n photodiodes with intrinsic absorber regions adjusted to short and long wavelength absorption and carrier collection. An optoelectronic characterisation of the device was performed in the visible spectrum. Demonstration of the device functionality for WDM applications was done with three different input channels covering the long, the medium and the short wavelengths in the visible range. The recovery of the input channels is explained using the photocurrent spectral dependence on the applied voltage. An electrical model of the WDM device is proposed and supported by the solution of the respective circuit equations. Short range optical communications constitute the major application field however other applications are foreseen. (C) 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Optical processing devices based on a-SiCH multilayer architectures

Red, green and blue optical signals were directed to an a-SiC:H multilayered device, each one with a specific transmission rate. The combined optical signal was analyzed by reading out, under different applied voltages, the generated photocurrent. Results show that when a chromatic time dependent wavelength combination with different transmission rates irradiates the multilayered structure, the device operates as a tunable wavelength filter and can be used in wavelength division multiplexing systems for short range communications. An application to fluorescent proteins detection is presented. (C) 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim