Data mining techniques to support the classification of MV electricity customers

This paper describes a methodology that was developed for the classification of Medium Voltage (MV) electricity customers. Starting from a sample of data bases, resulting from a monitoring campaign, Data Mining (DM) techniques are used in order to discover a set of a MV consumer typical load profile and, therefore, to extract knowledge regarding to the electric energy consumption patterns. In first stage, it was applied several hierarchical clustering algorithms and compared the clustering performance among them using adequacy measures. In second stage, a classification model was developed in order to allow classifying new consumers in one of the obtained clusters that had resulted from the previously process. Finally, the interpretation of the discovered knowledge are presented and discussed.

Natural gas system operation: lagrangean optimization techniques

To comply with natural gas demand growth patterns and Europe´s import dependency, the gas industry needs to organize an efficient upstream infrastructure. The best location of Gas Supply Units – GSUs and the alternative transportation mode – by phisical or virtual pipelines, are the key of a successful industry. In this work we study the optimal location of GSUs, as well as determining the most efficient allocation from gas loads to sources, selecting the best transportation mode, observing specific technical restrictions and minimizing system total costs. For the location of GSUs on system we use the P-median problem, for assigning gas demands nodes to source facilities we use the classical transportation problem. The developed model is an optimisation-based approach, based on a Lagrangean heuristic, using Lagrangean relaxation for P-median problems – Simple Lagrangean Heuristic. The solution of this heuristic can be improved by adding a local search procedure - the Lagrangean Reallocation Heuristic. These two heuristics, Simple Lagrangean and Lagrangean Reallocation, were tested on a realistic network - the primary Iberian natural gas network, organized with 65 nodes, connected by physical and virtual pipelines. Computational results are presented for both approaches, showing the location gas sources and allocation loads arrangement, system total costs and gas transportation mode.

Using data mining techniques to support DR programs definition in smart grids

In recent years, Power Systems (PS) have experimented many changes in their operation. The introduction of new players managing Distributed Generation (DG) units, and the existence of new Demand Response (DR) programs make the control of the system a more complex problem and allow a more flexible management. An intelligent resource management in the context of smart grids is of huge important so that smart grids functions are assured. This paper proposes a new methodology to support system operators and/or Virtual Power Players (VPPs) to determine effective and efficient DR programs that can be put into practice. This method is based on the use of data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 32 bus distribution network.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.

Optimization techniques for power distribution planning with uncertainties: a comparative study

Important research effort has been devoted to the topic of optimal planning of distribution systems. The non linear nature of the system, the need to consider a large number of scenarios and the increasing necessity to deal with uncertainties make optimal planning in distribution systems a difficult task. Heuristic techniques approaches have been proposed to deal with these issues, overcoming some of the inherent difficulties of classic methodologies. This paper considers several methodologies used to address planning problems of electrical power distribution networks, namely mixedinteger linear programming (MILP), ant colony algorithms (AC), genetic algorithms (GA), tabu search (TS), branch exchange (BE), simulated annealing (SA) and the Bender´s decomposition deterministic non-linear optimization technique (BD). Adequacy of theses techniques to deal with uncertainties is discussed. The behaviour of each optimization technique is compared from the point of view of the obtained solution and of the methodology performance. The paper presents results of the application of these optimization techniques to a real case of a 10-kV electrical distribution system with 201 nodes that feeds an urban area.

MV producers and consumers agents characterization with DSM techniques

This paper consist in the establishment of a Virtual Producer/Consumer Agent (VPCA) in order to optimize the integrated management of distributed energy resources and to improve and control Demand Side Management DSM) and its aggregated loads. The paper presents the VPCA architecture and the proposed function-based organization to be used in order to coordinate the several generation technologies, the different load types and storage systems. This VPCA organization uses a frame work based on data mining techniques to characterize the costumers. The paper includes results of several experimental tests cases, using real data and taking into account electricity generation resources as well as consumption data.

Combining artificial intelligence techniques for the training of power system control centre operators

Control Centre operators are essential to assure a good performance of Power Systems. Operators’ actions are critical in dealing with incidents, especially severe faults, like blackouts. In this paper we present an Intelligent Tutoring approach for training Portuguese Control Centre operators in incident analysis and diagnosis, and service restoration of Power Systems, offering context awareness and an easy integration in the working environment.

Tradição em transformação: representações sociais de tradição em associações culturais

Dissertação conducente à obtenção do grau de Mestre em Educação Social e Intervenção Comunitária

Pré-esforço em edifícios e obras de arte

O presente relatório de estágio encontra-se inserido no âmbito do Trabalho Final de Mestrado, da área de especialização de Edificações, relativo ao curso de Engenharia Civil, do Instituto Superior de Engenharia de Lisboa, sobre a execução de Pré-esforço em Edifícios e Obras de Arte. O estágio foi desenvolvido na empresa VSL Sistemas Portugal S.A. - Préesforço, Equipamento e Montagens e teve como objectivo o acompanhamento da subempreitada de aplicação e execução de pré-esforço para três entidades: - Agrupamento complementar de empresas Teixeira Duarte / Zagope - Viaduto de Coina 1; - Lena Construções - Pontão de Coina; - BRITALAR - Hotel Tryp Aeroporto Lisboa. O estágio realizou-se junto do Departamento de Produção, ao nível do acompanhamento dos trabalhos em obra e trabalho administrativo inerente ao mesmo. O objectivo inicial do estágio foi o de interpretar as peças escritas e desenhadas relacionando-as com a aplicação do pré-esforço em obra, conhecer as técnicas e materiais a aplicar nas diferentes fases, relacionando assim, a sua utilização com a prevenção de eventuais patologias.

Evaluation of IMRT and VMAT techniques with and without flattening filter using pareto optimal fronts

Mestrado em Radiações Aplicadas às Tecnologias da Saúde.

Optical Filter Design Using Background Wavelength Processing Techniques

Amorphous SiC tandem heterostructures are used to filter a specific band, in the visible range. Experimental and simulated results are compared to validate the use of SiC multilayered structures in applications where gain compensation is needed or to attenuate unwanted wavelengths. Spectral response data acquired under different frequencies, optical wavelength control and side irradiations are analyzed. Transfer function characteristics are discussed. Color pulsed communication channels are transmitted together and the output signal analyzed under different background conditions. Results show that under controlled wavelength backgrounds, the device sensitivity is enhanced in a precise wavelength range and quenched in the others, tuning or suppressing a specific band. Depending on the background wavelength and irradiation side, the device acts either as a long-, a short-, or a band-rejection pass filter. An optoelectronic model supports the experimental results and gives insight on the physics of the device.

Relatório de estágio: intervenção em fisioterapia na sindrome da cirurgia lombar falhada

Introdução: A síndrome da cirurgia lombar falhada (SCLF) caracteriza-se pela persistência ou recidiva da dor ou aparecimento de novos sintomas após discectomia, descompressão de canal estreito ou artrodese lombares. Objectivos: O objectivo deste estudo foi descrever a abordagem em fisioterapia de um caso com Síndrome da Cirurgia Lombar Falhada e avaliar os seus efeitos na funcionalidade e sintomatologia dolorosa neste indivíduo. Metodologia: A amostra foi constituída por um sujeito com 41 anos, trabalhador da construção civil, apresentando dor lombar com irradiação para o membro inferior, após ter sido submetido a discectomia lombar e artrodese, que realizou sessões de fisioterapia convencional antes e depois da cirurgia, e que apresentava sinais compatíveis com compressão radicular. A intensidade da dor foi medida através da escala visual analógica (EVA), as amplitudes com o goniómetro universal, a funcionalidade foi avaliada utilizando o Questionário de Incapacidade Roland-Morris (RMDQ), o estado psicológico foi avaliado através da “Escala de Desânimo Associado à Dor” e do “Inventário de Convicções e Percepções Relacionadas com a Dor”. Resultados: A dor era inicialmente em média de 5,5/10 EVA, sendo de 3,4/10 EVA no final do tratamento. Quanto à funcionalidade (RMDQ) esta variou de 14/24 no início para 17/24 no final. De uma forma geral, após a aplicação de técnicas para diminuir a tensão do piriforme, técnicas neuurodinâmicas e um programa de exercícios para melhoria do controlo motor, o paciente apresentou alívio das queixas de dor na nádega esquerda e anca, aumento da amplitude de rotação medial da coxo-femoral, ausência das parestesias na face plantar do pé esquerdo e melhoria das queixas de dor na face anterior e lateral da coxa. Verificamos que houve diminuição dos índices de dor e melhorias dos níveis de funcionalidade. Conclusão: Neste estudo de caso, foi salientado o processo de raciocínio clínico desenvolvido pelo fisioterapeuta: a interpretação dos dados da história e levantamento das primeiras hipóteses e a realização dos testes no exame objectivo, permitiram estabelecer um diagnóstico funcional e elaborar um plano de intervenção através do qual o utente recuperou parcialmente a sua funcionalidade e diminuiu os seus índices de dor.

Sistema de detecção de intrusão em redes informáticas

Mestrado em Engenharia Electrotécnica e de Computadores

Integration of biomonitoring and instrumental techniques to assess the air quality in an industrial area located in the coastal of Central Asturias, Spain

Throughout the world, epidemiological studies were established to examine the relationship between air pollution and mortality rates and adverse respiratory health effects. However, despite the years of discussion the correlation between adverse health effects and atmospheric pollution remains controversial, partly because these studies are frequently restricted to small and well-monitored areas. Monitoring air pollution is complex due to the large spatial and temporal variations of pollution phenomena, the high costs of recording instruments, and the low sampling density of a purely instrumental approach. Therefore, together with the traditional instrumental monitoring, bioindication techniques allow for the mapping of pollution effects over wide areas with a high sampling density. In this study, instrumental and biomonitoring techniques were integrated to support an epidemiological study that will be developed in an industrial area located in Gijon in the coastal of central Asturias, Spain. Three main objectives were proposed to (i) analyze temporal patterns of PM10 concentrations in order to apportion emissions sources, (ii) investigate spatial patterns of lichen conductivity to identify the impact of the studied industrial area in air quality, and (iii) establish relationships amongst lichen conductivity with some site-specific characteristics. Samples of the epiphytic lichen Parmelia sulcata were transplanted in a grid of 18 by 20 km with an industrial area in the center. Lichens were exposed for a 5-mo period starting in April 2010. After exposure, lichen samples were soaked in 18-MΩ water aimed at determination of water electrical conductivity and, consequently, lichen vitality and cell damage. A marked decreasing gradient of lichens conductivity relative to distance from the emitting sources was observed. Transplants from a sampling site proximal to the industrial area reached values 10-fold higher than levels far from it. This finding showed that lichens reacted physiologically in the polluted industrial area as evidenced by increased conductivity correlated to contamination level. The integration of temporal PM10 measurements and analysis of wind direction corroborated the importance of this industrialized region for air quality measurements and identified the relevance of traffic for the urban area.