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.

Validação para o português do "International Consultation on Incontinence Questionnaire - Short Form" (ICIQ-SF)

OBJETIVO: Traduzir e validar para a língua portuguesa o questionário de qualidade de vida condição-específico denominado International Consultation on Incontinence Questionnaire - Short Form (ICIQ-SF) em pacientes com incontinência urinária. MÉTODOS: Duas traduções independentes do ICIQ-SF foram feitas por brasileiros, fluentes na língua inglesa. Após harmonização das mesmas, a tradução resultante foi retrotraduzida independentemente por dois nativos de países de língua inglesa. As diferenças foram harmonizadas e pré-testadas em um estudo piloto. A versão final do ICIQ-SF para o português, bem como a versão em português do King's Health Questionnaire (KHQ) foram aplicadas simultaneamente em 123 pacientes consecutivos com queixa de incontinência urinária (29 homens e 94 mulheres) que procuraram o laboratório de uroginecologia e o serviço de urodinâmica de um hospital universitário, localizado em Campinas. Foram testadas as propriedades psicométricas do questionário, como confiabilidade e validade de constructo. RESULTADOS: A idade mediana foi de 53 anos (intervalo de 16 a 86 anos). O período médio de reteste para o ICIQ-SF foi de 14,37 dias (intervalo de seis a 41 dias). Nenhuma alteração do formato original do ICIQ-SF foi observada no final do processo de tradução e adaptação cultural. A consistência interna foi alta, como demonstrado pelo coeficiente alfa de Cronbach (0,88). O resultado do teste-reteste foi considerado de moderado a forte, como indicado pelo índice Kappa ponderado, cujos valores variaram de 0,72 a 0,75, e o coeficiente de correlação de Pearson que foi de 0,89. A correlação entre o ICIQ-SF e o KHQ foi considerada de moderada a boa para a maioria dos itens, variando de 0,44 a 0,77. A avaliação das validades de constructo e concorrente foi também satisfatória e estatisticamente significante. CONCLUSÕES: A versão para o português do ICIQ-SF foi traduzida e validada com sucesso para aplicação em pacientes brasileiros de ambos os sexos, com queixa de incontinência urinária, apresentando satisfatória confiabilidade e validade de constructo.

A data-mining based methodology for wind forecasting

In many countries the use of renewable energy is increasing due to the introduction of new energy and environmental policies. Thus, the focus on the efficient integration of renewable energy into electric power systems is becoming extremely important. Several European countries have already achieved high penetration of wind based electricity generation and are gradually evolving towards intensive use of this generation technology. The introduction of wind based generation in power systems poses new challenges for the power system operators. This is mainly due to the variability and uncertainty in weather conditions and, consequently, in the wind based generation. In order to deal with this uncertainty and to improve the power system efficiency, adequate wind forecasting tools must be used. This paper proposes a data-mining-based methodology for very short-term wind forecasting, which is suitable to deal with large real databases. The paper includes a case study based on a real database regarding the last three years of wind speed, and results for wind speed forecasting at 5 minutes intervals.

A data-mining-based methodology for transmission expansion planning

In recent decades, all over the world, competition in the electric power sector has deeply changed the way this sector’s agents play their roles. In most countries, electric process deregulation was conducted in stages, beginning with the clients of higher voltage levels and with larger electricity consumption, and later extended to all electrical consumers. The sector liberalization and the operation of competitive electricity markets were expected to lower prices and improve quality of service, leading to greater consumer satisfaction. Transmission and distribution remain noncompetitive business areas, due to the large infrastructure investments required. However, the industry has yet to clearly establish the best business model for transmission in a competitive environment. After generation, the electricity needs to be delivered to the electrical system nodes where demand requires it, taking into consideration transmission constraints and electrical losses. If the amount of power flowing through a certain line is close to or surpasses the safety limits, then cheap but distant generation might have to be replaced by more expensive closer generation to reduce the exceeded power flows. In a congested area, the optimal price of electricity rises to the marginal cost of the local generation or to the level needed to ration demand to the amount of available electricity. Even without congestion, some power will be lost in the transmission system through heat dissipation, so prices reflect that it is more expensive to supply electricity at the far end of a heavily loaded line than close to an electric power generation. Locational marginal pricing (LMP), resulting from bidding competition, represents electrical and economical values at nodes or in areas that may provide economical indicator signals to the market agents. This article proposes a data-mining-based methodology that helps characterize zonal prices in real power transmission networks. To test our methodology, we used an LMP database from the California Independent System Operator for 2009 to identify economical zones. (CAISO is a nonprofit public benefit corporation charged with operating the majority of California’s high-voltage wholesale power grid.) To group the buses into typical classes that represent a set of buses with the approximate LMP value, we used two-step and k-means clustering algorithms. By analyzing the various LMP components, our goal was to extract knowledge to support the ISO in investment and network-expansion planning.

Dinâmicas e relações intra-organizacionais nos cuidados às crianças / adolescentes com diabetes mellitus tipo 1

Mestrado em Intervenção Sócio-Organizacional na Saúde. Área de especialização: Políticas de Administração e Gestão dos Serviços de Saúde.

Qualidade dos contextos educativos: multideficiência e inclusão

Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ciências da Educação- Especialidade Educação Especial

Validade e fiabilidade da versão portuguesa do Stroke Aphasic Depression Questionnaire-21

O objectivo deste estudo é determinar as propriedades psicométricas da versão portuguesa do Stroke Aphasic Depression Questionnaire-21 (SADQ-21). Envolveu 120 sujeitos, 33 dos quais com afasia. Os resultados demonstraram que o SADQ-21 revela uma consistência interna muito elevada (α=0,87). A validade de construção identificou cinco domínios. A variância total explicada pelos factores foi elevada (65,85%). A correlação entre a medida de ouro e o SADQ-21 é estatisticamente significativa (p<0,05). Os indivíduos com afasia estão significativamente mais deprimidos que os sem afasia (p=0,0001). Conclui-se que o SADQ-21 é um instrumento adequado para a avaliação da sintomatologia depressiva em pessoas com afasia.

Power systems reliability calculation based on fuzzy data mining

This paper presents a methodology supported on the data base knowledge discovery process (KDD), in order to find out the failure probability of electrical equipments’, which belong to a real electrical high voltage network. Data Mining (DM) techniques are used to discover a set of outcome failure probability and, therefore, to extract knowledge concerning to the unavailability of the electrical equipments such us power transformers and high-voltages power lines. The framework includes several steps, following the analysis of the real data base, the pre-processing data, the application of DM algorithms, and finally, the interpretation of the discovered knowledge. To validate the proposed methodology, a case study which includes real databases is used. This data have a heavy uncertainty due to climate conditions for this reason it was used fuzzy logic to determine the set of the electrical components failure probabilities in order to reestablish the service. The results reflect an interesting potential of this approach and encourage further research on the topic.

Data mining applications in power systems - case-studies and future trends

Presently power system operation produces huge volumes of data that is still treated in a very limited way. Knowledge discovery and machine learning can make use of these data resulting in relevant knowledge with very positive impact. In the context of competitive electricity markets these data is of even higher value making clear the trend to make data mining techniques application in power systems more relevant. This paper presents two cases based on real data, showing the importance of the use of data mining for supporting demand response and for supporting player strategic behavior.

Zonal prices analysis supported by a data mining based methodology

A methodology based on data mining techniques to support the analysis of zonal prices in real transmission networks is proposed in this paper. The mentioned methodology uses clustering algorithms to group the buses in typical classes that include a set of buses with similar LMP values. Two different clustering algorithms have been used to determine the LMP clusters: the two-step and K-means algorithms. In order to evaluate the quality of the partition as well as the best performance algorithm adequacy measurements indices are used. The paper includes a case study using a Locational Marginal Prices (LMP) data base from the California ISO (CAISO) in order to identify zonal prices.

Research on evaluation system of emergency disposal plan for power plant incidents

This paper starts with the analysis of the unusual inherence mechanism, from two aspects: accumulating and human error. We put forward twelve factors affected the decision of the emergency treatment plan in practice and summarized the evaluation index system combining with literature data. Then we screened out eighteen representative indicators by used the FDM expert questionnaire in the first phase. Hereafter, we calculated the weight of evaluation index and sorted them by the FAHP expert questionnaire, and came up with the frame of the evaluation rule by combined with the experience. In the end, the evaluation principles are concluded.

Can varying the number of teams in a shift schedule constitute a preventive strategy?

OBJECTIVE: The study examines the implications for shiftworkers of applying different numbers of teams in the organization of shiftwork. METHODS: The participating operators came from five different companies applying continuous shift rotation systems. The companies shared the same product organization and a common corporate culture belonging to the same multinational company. Each company had a shift system consisting of four, five or six teams, with the proportion of shifts outside day work decreasing as the number of teams increased. Questionnaire and documentary data were used as data sources. RESULTS: Operators in systems with additional teams had more daywork but also more irregular working hours due to both overtime and schedule changes. Operators using six teams used fewer social compensation strategies. Operators in four teams were most satisfied with their work hours. Satisfaction with the time available for various social activities outside work varied inconsistently between the groups. CONCLUSIONS: In rotating systems the application of more teams reduces the number of shifts outside day work. This apparent improvement for shiftworkers was counteracted by a concomitant irregularity produced by greater organizational requirements for flexibility. The balance of this interaction was found to have a critical impact on employees.

Occupational exposure to poultry dust and effects on the respiratory system in workers

Farmers are occupationally exposed to many respiratory hazards at work and display higher rates of asthma and respiratory symptoms than other workers. Dust is one of the components present in poultry production that increases risk of adverse respiratory disease occurrence. Dust originates from poultry residues, molds, and feathers and is biologically active as it contains microorganisms. Exposure to dust is known to produce a variety of clinical responses, including asthma, chronic bronchitis, chronic airways obstructive disease (COPD), allergic alveolitis, and organic dust toxic syndrome (ODTS). A study was developed to determine particle contamination in seven poultry farms and correlate this with prevalence rate of respiratory defects and record by means of a questionnaire the presence of clinical symptoms associated with asthma and other allergy diseases by European Community Respiratory Health Survey. Poultry farm dust contamination was found to contain higher concentrations of particulate matter (PM) PM5 and PM10. Prevalence rate of obstructive pulmonary disorders was higher in individuals with longer exposure regardless of smoking status. In addition, a high prevalence for asthmatic (42.5%) and nasal (51.1%) symptoms was noted in poultry workers. Data thus show that poultry farm workers are more prone to suffer from respiratory ailments and this may be attributed to higher concentrations of PM found in the dust. Intervention programs aimed at reducing exposure to dust will ameliorate occupational working conditions and enhance the health of workers.

Freqüência de jogo patológico entre farmacodependentes em tratamento

OBJETIVO: Investigar a freqüência de jogo patológico entre dependentes de álcool e/ou outras drogas que procuraram tratamento em serviço especializado. MÉTODOS: Foram entrevistados 74 pacientes de três serviços especializados em tratamento de farmacodependência. Para diagnóstico de jogo patológico foi utilizada a escala SOGS (South Oaks Gambling Screen). O diagnóstico de dependência de álcool e de outras drogas foi estabelecido a partir dos critérios do DSM-IV e da escala SADD (Short Alcohol Dependence Data). Foram aplicadas as versões brasileiras das escalas SRQ (Self Report Questionnaire) para detecção de sintomas de psiquiátricos e CES-D (Center for Epidemiological Studies Depression Scale) para sintomas depressivos. As médias da pontuação obtida nessas escalas foram comparadas pelo teste t de Student. RESULTADOS: Todos os sujeitos preencheram critério para farmacodependência, sendo que 61,6% preencheram critérios para dependência de álcool 60,3% para cocaína/crack, e 34,2% para maconha. Segundo a escala SOGS, a maioria dos farmacodependentes (70,3%) foi classificada como jogador social, 10,8% como "jogador problema" e 18,9% como jogador patológico. Confirmou-se a presença de sintomas psiquiátricos e depressão na amostra. Pacientes jogadores patológicos apresentaram mais sintomas depressivos que pacientes não jogadores patológicos. CONCLUSÕES: Foi encontrada alta freqüência de jogo patológico entre os farmacodependentes entrevistados. Os resultados mostram a importância da investigação de jogo patológico em pacientes farmacodependentes e inclusão de estratégias para o tratamento desse transtorno nos programas de tratamento.

Job control, job demands, social support at work and health among adolescent workers

OBJECTIVE: To evaluate physical and psychological dimensions of adolescent labor (such as job demands, job control, and social support in the work environment), and their relation to reported body pain, work injuries, sleep duration and daily working hours. METHODS: A total of 354 adolescents attending evening classes at a public school in São Paulo, Brazil, answered questionnaires regarding their living and working conditions (Karasek's Job Content Questionnaire, 1998), and their health status. Data collection took place in April and May 2001. Multiple logistic regression analysis was used to determine relations among variables. RESULTS: Psychological job demands were related to body pain (OR=3.3), higher risk of work injuries (OR=3.0) and reduced sleep duration in weekdays (Monday to Thursday) (p<0.01). Lower decision authority in the workplace (p=0.03) and higher job security (p=0.02) were related to longer daily working hours. CONCLUSIONS: It was concluded that besides physical stressors, psychological factors are to be taken into account when studying adolescent working conditions, as they may be associated with negative job conditions and health effects.