Comparing wind generation profiles: A circular data approach

The importance of wind power energy for energy and environmental policies has been growing in past recent years. However, because of its random nature over time, the wind generation cannot be reliable dispatched and perfectly forecasted, becoming a challenge when integrating this production in power systems. In addition the wind energy has to cope with the diversity of production resulting from alternative wind power profiles located in different regions. In 2012, Portugal presented a cumulative installed capacity distributed over 223 wind farms [1]. In this work the circular data statistical methods are used to analyze and compare alternative spatial wind generation profiles. Variables indicating extreme situations are analyzed. The hour (s) of the day where the farm production attains its maximum daily production is considered. This variable was converted into circular variable, and the use of circular statistics enables to identify the daily hour distribution for different wind production profiles. This methodology was applied to a real case, considering data from the Portuguese power system regarding the year 2012 with a 15-minutes interval. Six geographical locations were considered, representing different wind generation profiles in the Portuguese system.In this work the circular data statistical methods are used to analyze and compare alternative spatial wind generation profiles. Variables indicating extreme situations are analyzed. The hour (s) of the day where the farm production attains its maximum daily production is considered. This variable was converted into circular variable, and the use of circular statistics enables to identify the daily hour distribution for different wind production profiles. This methodology was applied to a real case, considering data from the Portuguese power system regarding the year 2012 with a 15-minutes interval. Six geographical locations were considered, representing different wind generation profiles in the Portuguese system.

A importância das consultoras no processo de internacionalização das micro, pequenas e médias empresas em Portugal

Relatório de Estágio Apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Empreendedorismo e Internacionalização, sob orientação da Mestre Inês Veiga Pereira

Modelação de um data warehouse para a Direcção Geral do Tesouro e Finanças e implementação de um data mart para o processo de gestão patrimonial.

Dissertação apresentada como requisito parcial para a obtenção do grau de Mestre em Estatística e Gestão da Informação

Iberian peninsula ecosystem carbon fluxes: a model-data integration study

Dissertação apresentada para obtenção do Grau de Doutor em Engenharia do Ambiente pela Universidade Nova de Lisboa,Faculdade de Ciências e Tecnologia

Spatial metrics and Landsat data for urban landuse change detection: case of Addis Ababa, Ethiopia.

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Expatriates recruitment and selection for long-term international assignments in portuguese companies

Long-term international assignments’ increase requires more attention being paid for the preparation of these foreign assignments, especially on the recruitment and selection process of expatriates. This article explores how the recruitment and selection process of expatriates is developed in Portuguese companies, examining the main criteria on recruitment and selection of expatriates’ decision to send international assignments. The paper is based on qualitative case studies of companies located in Portugal. The data were collected through semi-structured interviews of 42 expatriates and 18 organisational representatives as well from nine Portuguese companies. The findings show that the most important criteria are: (1) trust from managers, (2) years in service, (3) previous technical and language competences, (4) organisational knowledge and, (5) availability. Based on the findings, the article discusses in detail the main theoretical and managerial implications. Suggestions for further research are also presented.

The influence of pre-departure training on expatriate adjustment: an empirical investigation with portuguese international assignees

This chapter examines the cross-cultural influence of training on the adjustment of international assignees. We focus on the pre-departure training (PDT) before an international assignment. It is an important topic because in the globalized world of today more and more expatriations are needed. The absence of PDT may generate the failure of the expatriation experience. Companies may neglect PDT due to cost reduction practices and ignorance of the need for it. Data were collected through semi-structured interviews to 42 Portuguese international assignees and 18 organizational representatives from nine Portuguese companies. The results suggest that companies should develop PDT programs, particularly when the cultural distance to the host country is bigger and when there is no previous experience of expatriation to that country in the company. The study is original because it details in depth the methods of PDT, its problems, and consequences. Some limitations linked to the research design and detailed in the conclusion should be overcome in future studies.

Using data mining techniques to support breast cancer diagnosis

More than ever, there is an increase of the number of decision support methods and computer aided diagnostic systems applied to various areas of medicine. In breast cancer research, many works have been done in order to reduce false-positives when used as a double reading method. In this study, we aimed to present a set of data mining techniques that were applied to approach a decision support system in the area of breast cancer diagnosis. This method is geared to assist clinical practice in identifying mammographic findings such as microcalcifications, masses and even normal tissues, in order to avoid misdiagnosis. In this work a reliable database was used, with 410 images from about 115 patients, containing previous reviews performed by radiologists as microcalcifications, masses and also normal tissue findings. Throughout this work, two feature extraction techniques were used: the gray level co-occurrence matrix and the gray level run length matrix. For classification purposes, we considered various scenarios according to different distinct patterns of injuries and several classifiers in order to distinguish the best performance in each case described. The many classifiers used were Naïve Bayes, Support Vector Machines, k-nearest Neighbors and Decision Trees (J48 and Random Forests). The results in distinguishing mammographic findings revealed great percentages of PPV and very good accuracy values. Furthermore, it also presented other related results of classification of breast density and BI-RADS® scale. The best predictive method found for all tested groups was the Random Forest classifier, and the best performance has been achieved through the distinction of microcalcifications. The conclusions based on the several tested scenarios represent a new perspective in breast cancer diagnosis using data mining techniques.

Uma vertente da política de informação das instituições europeias: a transparência e o acesso aos documentos

Apresentam-se as principais etapas da política de informação da União Europeia (UE) desde a década de 1990 com ênfase para as iniciativas relacionadas com a transparência e o acesso aos documentos. Serão analisados os diplomas legais formulados pelo Parlamento, pelo Conselho e pela Comissão Europeia para reger o acesso aos documentos por parte dos cidadãos dos Estados-Membros. Avalia-se depois o impacto efectivo destas medidas com base nos relatórios anuais elaborados pelas instâncias europeias sobre esta matéria e a partir dos dados recolhidos nas entrevistas realizadas em Bruxelas aos responsáveis pelo acesso aos documentos do Conselho e da Comissão Europeia.

A Data Mining Framework for Electric Load Profiling

This paper consists in the characterization of medium voltage (MV) electric power consumers based on a data clustering approach. It is intended to identify typical load profiles by selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The best partition is selected using several cluster validity indices. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers’ behavior. The data-mining-based methodology presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partitions. To validate our approach, a case study with a real database of 1.022 MV consumers was used.

Scenarios Generation for Multi-Agent simulation of Electricity Markets based on Intelligent Data Analysis

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.

Fisioterapia : influência na qualidade de vida da mulher com cancro da mama : contributo para a qualidade do serviço em oncologia

RESUMO - O cancro da mama é uma preocupação da saúde pública a nível mundial, pela sua incidência, mortalidade e custos económicos associados. As terapias utilizadas no seu tratamento, embora eficazes, conduzem a alterações de todas as dimensões da Qualidade de Vida (QdV) da mulher com cancro da mama. A garantia de uma qualidade de serviço prestado deve ser uma prioridade das organizações de saúde, sendo a QdV uma medida de resultado. Partindo do pressuposto que em Portugal existe uma diferença potencial na forma como as mulheres com cancro da mama recebem o apoio por parte da fisioterapia, importa saber se a fisioterapia tem ou não influência na QdV da mulher com cancro da mama, o que, no caso de ser afirmativo, poderá constituir uma mais-valia para a qualidade do serviço prestado em oncologia. O Objectivo deste trabalho é construir um modelo de análise no sentido de responder à questão inicial de investigação: “Será que a fisioterapia contribui para a melhoria da Qualidade de Vida das mulheres com cancro da mama submetidas a cirurgia e outras terapias oncológicas?”. Neste sentido o trabalho de projecto dividiu-se por etapas. Inicialmente foi realizado um enquadramento teórico, através de uma revisão de literatura e da realização de entrevistas exploratórias, permitindo desta forma ter um conhecimento actual das temáticas que definem as variáveis e o objecto de estudo. Na etapa seguinte, foi feita uma análise crítica sobre o conhecimento actual do tema em estudo, que permitiu definir as variáveis a estudar, escolher o instrumento de medida a utilizar, ter conhecimento dos procedimentos a seguir. Após a definição do objectivo geral (avaliar se a fisioterapia tem influência na QdV das mulheres submetidas a cirurgia e outras terapias oncológicas) e dos objectivos específicos, iniciou-se o delineamento da metodologia tida como adequada para responder às questões de investigação levantadas (tipo de estudo, as variáveis, a unidade de análise, os métodos e técnicas de recolha de dados, os procedimentos e a metodologia de tratamento de dados). No âmbito do trabalho de projecto está definida a colocação em campo de um caso de estudo efectivo que permita dar um contributo real no delineamento da metodologia. Neste trabalho optou-se pela realização de um estudo piloto, que se enquadra nos procedimentos da metodologia e que teve por objectivo retirar algumas conclusões sobre: a aplicabilidade do instrumento de medida; os tempos definidos para a recolha de dados; as características sociodemográficas e clínicas da amostra; as questões de investigação levantadas. O estudo piloto consistiu num estudo pré-experimental, com uma amostra de 35 indivíduos, submetidos a cirurgia a cancro da mama e a outras terapias oncológicas. Foram avaliadas as dimensões do bem-estar físico e actividades quotidianas, bem-estar psicológico, relações sociais, sintomas e características sociodemográficas/clínicas, no início do tratamento individual de fisioterapia e no momento de alta. Utilizou-se como instrumento de medida o questionário EORTC QLQ–30 e o seu questionário complementar EORTC QLQ–23. Tendo sido construída uma ficha para recolha de dados sociodemográficos e clínicos. A significância estatística foi aceite para valores de p<0,05. Para comparação entre grupos e evolução dentro de cada grupo aplicou-se o teste t-student e o teste de Mann-Whitney. A análise dos resultados do estudo piloto permitiu verificar que: - O instrumento de medida proposto (questionário EORTC QLQ30 e BR23) mostrou ser de fácil aplicação, não tendo existido dificuldade por parte das doentes no seu preenchimento. Não houve problemas no cálculo dos scores e na sua interpretação; - Parte considerável das mulheres com cancro da mama será submetida a protocolos que se poderão prolongar por vários meses após a cirurgia (ex: QT+RT+HT). Esta realidade leva-nos a propor que sejam realizados vários momentos de avaliação, para que possam ser avaliadas as dimensões da QdV ao longo dos diferentes protocolos de tratamentos. Pensamos que o ideal seria a realização de 4 momentos de avaliação (3 a 4 semanas após a cirurgia, 3 meses, 6 meses e 9 meses após cirurgia). Sugerimos também que o estudo proposto seja realizado com uma amostra de maior dimensão; - O estudo piloto como recorreu a uma metodologia pré-experimental (ausência de grupo de controlo e apenas dois momentos de avaliação), não permite a consistência dos resultados; no entanto os resultados obtidos podem constituir um indicador de que a fisioterapia tem influência nas diferentes dimensões da QdV da mulher com cancro da mama submetida a cirurgia e a outras terapias oncológicas, podendo constituir uma mais-valia para a qualidade do serviço prestado em oncologia. Os resultados do estudo piloto permitiram redefinir a metodologia tida como adequada para responder à questão de investigação inicial. Apresentamos de seguida a mesma: Estudo quase-experimental, sendo a amostra constituída por dois grupos de 60 mulheres cada, submetidas a cirurgia a cancro da mama e a outras terapias oncológicas. O grupo experimental será submetido a tratamentos individuais de fisioterapia. Serão avaliadas as dimensões do bem-estar físico e actividades quotidianas, bem-estar psicológico, relações sociais e sintomas. A recolha de dados será realizada 3 semanas, 3 meses, 6 meses e 9 meses após a cirurgia. Como instrumento de medida será utilizado o questionário EORTC QLQ–30 e o seu questionário complementar EORTC QLQ–23, serão também recolhidos dados sociodemográficos e clínicos. A significância estatística será aceite para valores de p<0,05. Para comparação entre grupos e evolução dentro de cada grupo serão utilizados testes paramétricos e não paramétricos. A realização de um estudo que seguisse a metodologia acima referida permitiria uma maior consistência dos resultados, podendo eventualmente existir a confirmação de que a fisioterapia pode ter influência na QdV da mulher submetida a cirurgia a cancro da mama e a outras terapias oncológicas. A evidência de que a fisioterapia tem influência na QdV da mulher com cancro da mama, e o facto de a QdV ser um indicador da qualidade do serviço prestado em oncologia, poderão constituir um agente facilitador para a mudança na gestão de recursos humanos em organizações de saúde com a valência de oncologia, levando a uma alteração dos padrões de prática na área da fisioterapia em oncologia em Portugal, que poderá conduzir a uma melhor qualidade de serviço prestado ao doente oncológico. ----- ABSTRACT - Breast Cancer is a worldwide public health concern due to the incidence, mortality and economic costs associated. Although effective, therapies used in its treatment lead to changes in all Quality of Life (QoL) dimensions of a woman suffering from Breast Cancer. QoL is an outcome measure, and the insurance of quality of care provided should be a priority to health organizations. Taking into consideration that in Portugal there is a potential difference in the way women with Breast Cancer are provided with physical therapy, it is important to know whether physical therapy does or does not influence the QoL of women with breast cancer. If it does, it will lead to a health care quality improvement to cancer patients. The goal of the following study is to build an analysis model in order to answer the initial investigation question: “Does Physical Therapy contribute to enhance the Quality of Life of women with breast cancer who underwent surgery and other oncology treatments?” The project was divided in different stages. Initially, a literature revision was elaborated and exploratory interviews were held, which allowed an actual knowledge of the themes that define the variables and the object of study. The next stage included a critical analysis of the theme, which allowed the definition of variables of study, the choice of instrument of measure and the acquisition of some knowledge on how to proceed. After the definition of the general goal (to evaluate the influence of physical therapy on the QoL of women with breast cancer who underwent surgery and other oncology treatments) and specific goals, the choice of a right methodology took place, in order to answer the investigation questions (type of study, variables, unit analysis, methods and techniques on data collection, procedures and data treatment). In the scope of the project, it is decided to put out on the field an effective case-study which assures a real contribution on the choice of te methodology. In this particular work, there was a pilot study, included in the methodology procedures, with the goal of obtaining conclusions on the applicability of the instrument of measure; the length of time to collect data, the socio-demographic and clinical characteristics of the sample; the investigation questions. The pilot study consisted on a one group pretest-postest design, with a sample of 35 individuals who underwent surgery and other oncology treatments. Dimensions such as physical well-being and everyday life activities, psychological well-being, social relationships, symptoms and socio-demographical/clinical characteristics were assessed at the beginning of physical therapy individual treatment and at the moment of release. The instrument of measure used was the EORTC QLQ–30 questionnaire and its complementary questionnaire EORTC QLQ–23. A chart was made in order to collect socio-demographic and clinical data. Statistic significance was accepted for values of p<0,05. To compare between groups and to detect the evolution within each group, the t-student test and the Mann-Whitney test were applied. The outcome analysis of the pilot study allowed to verify that: - The instrument of measure proposed (EORTC QLQ30 and BR23) was easy to apply, and the subjects did not show any difficulty in filling it up. There was also no problem on calculating the scores or interpreting them; - A considerable part of the women with breast cancer will be submitted to protocols that may occur throughout several months after surgery (e.g., QT+RT+HT). This reality leads us to suggest several moments of assessment of the QoL dimensions in various moments of the different protocol treatments. We consider that the ideal number of evaluations would be 4 (3/4 weeks, 3 months, 6 months and 9 months after surgery). We also suggest the use of a larger sample; - Since the pilot study resorted to a one group pretest-postest design (there is an absence of control group and only two moments of assessment), there is no consistency of outcome. However, the results obtained indicate that physical therapy influences the dimensions of QoL on women with breast cancer who underwent surgery and other oncology treatments, which may be an asset to the quality of care provided to cancer patients. The outcome of the pilot study allowed to redefine the methodology given as adequate to answer the initial investigation question. Our suggestion is as follows: quasi-experimental design, with a sample of 120 subjects (2 groups of 60 women) with breast cancer who underwent surgery and other oncology treatments. The experimental group will be submitted to individual treatments of physical therapy. Dimensions such as physical well-being and everyday life activities, psychological well-being, social relationships and symptoms will be assessed. The collection of data will occur at 3 weeks, 3 months, 6 months and 9 months after surgery. The instrument of measure is the EORTC QLQ–30 questionnaire and its complementary questionnaire EORTC QLQ–23, and social-demographic and clinical information will also be collected. The statistic significance will be accepted for values of p<0,05. Parametric and non-parametric tests will be used to compare between groups and to detect the evolution within each group. Carrying out a study that followed the methodology discussed above would allow a better consistency of results, possibly enabling the confirmation that physical therapy influences the QoL of women with breast cancer who underwent surgery and other oncology treatments. The evidence that physical therapy influences the QoL of women with breast cancer, and the fact that QoL is an indicator of quality of care provided to cancer patients, may work as a facilitating agent in the change of human resources management in health organizations associated to oncology, which will lead to a change in oncology physical therapy practice patterns in Portugal, guiding to a health care quality improvement to cancer patients.

Data Extraction Tool to Analyse, Transform and Store Real Data from Electricity Markets

The study of electricity markets operation has been gaining an increasing importance in the last years, as result of the new challenges that the restructuring process produced. Currently, lots of information concerning electricity markets is available, as market operators provide, after a period of confidentiality, data regarding market proposals and transactions. These data can be used as source of knowledge to define realistic scenarios, which are essential for understanding and forecast electricity markets behavior. The development of tools able to extract, transform, store and dynamically update data, is of great importance to go a step further into the comprehension of electricity markets and of the behaviour of the involved entities. In this paper an adaptable tool capable of downloading, parsing and storing data from market operators’ websites is presented, assuring constant updating and reliability of the stored data.

Automatic Electricity Markets Data Extraction for Realistic Multi-agent Simulations

Electricity markets worldwide suffered profound transformations. The privatization of previously nationally owned systems; the deregulation of privately owned systems that were regulated; and the strong interconnection of national systems, are some examples of such transformations [1, 2]. In general, competitive environments, as is the case of electricity markets, require good decision-support tools to assist players in their decisions. Relevant research is being undertaken in this field, namely concerning player modeling and simulation, strategic bidding and decision-support.

A Data-mining-based Methodology to support MV Electricity Customers' Characterization

This paper presents an electricity medium voltage (MV) customer characterization framework supportedby knowledge discovery in database (KDD). The main idea is to identify typical load profiles (TLP) of MVconsumers and to develop a rule set for the automatic classification of new consumers. To achieve ourgoal a methodology is proposed consisting of several steps: data pre-processing; application of severalclustering algorithms to segment the daily load profiles; selection of the best partition, corresponding tothe best consumers’ segmentation, based on the assessments of several clustering validity indices; andfinally, a classification model is built based on the resulting clusters. To validate the proposed framework,a case study which includes a real database of MV consumers is performed.