An integrated system to support electricity tariff contract definition

This paper presents an integrated system that helps both retail companies and electricity consumers on the definition of the best retail contracts and tariffs. This integrated system is composed by a Decision Support System (DSS) based on a Consumer Characterization Framework (CCF). The CCF is based on data mining techniques, applied to obtain useful knowledge about electricity consumers from large amounts of consumption data. This knowledge is acquired following an innovative and systematic approach able to identify different consumers’ classes, represented by a load profile, and its characterization using decision trees. The framework generates inputs to use in the knowledge base and in the database of the DSS. The rule sets derived from the decision trees are integrated in the knowledge base of the DSS. The load profiles together with the information about contracts and electricity prices form the database of the DSS. This DSS is able to perform the classification of different consumers, present its load profile and test different electricity tariffs and contracts. The final outputs of the DSS are a comparative economic analysis between different contracts and advice about the most economic contract to each consumer class. The presentation of the DSS is completed with an application example using a real data base of consumers from the Portuguese distribution company.

Quality in Hospital Administrative Databases

The clinical content of administrative databases includes, among others, patient demographic characteristics, and codes for diagnoses and procedures. The data in these databases is standardized, clearly defined, readily available, less expensive than collected by other means, and normally covers hospitalizations in entire geographic areas. Although with some limitations, this data is often used to evaluate the quality of healthcare. Under these circumstances, the quality of the data, for instance, errors, or it completeness, is of central importance and should never be ignored. Both the minimization of data quality problems and a deep knowledge about this data (e.g., how to select a patient group) are important for users in order to trust and to correctly interpret results. In this paper we present, discuss and give some recommendations for some problems found in these administrative databases. We also present a simple tool that can be used to screen the quality of data through the use of domain specific data quality indicators. These indicators can significantly contribute to better data, to give steps towards a continuous increase of data quality and, certainly, to better informed decision-making.

Empreitada de construção dos armazéns do polo 2 da plataforma logística do porto de Leixões - Direção e controlo da produção

A Plataforma Logística do Porto de Leixões, administrada pela Administração dos Portos do Douro e Leixões, S.A. (APDL), integra dois Polos situados no concelho de Matosinhos em locais estratégicos para o desenvolvimento das atividades portuária e de logística. É neste contexto que a empresa Luís Simões contactou a APDL no sentido de alugar um espaço para se instalar no Polo 2 da Plataforma Logística do Porto de Leixões. Para que este contrato fosse celebrado existiu um compromisso da APDL de construir dois armazéns com cerca de 10.000m2 cada e ainda um edifício administrativo com cerca de 2.900m2 e todas as redes de infraestruturas, circulações e arranjos exteriores. Após a realização de Concurso Público, a Empreitada de Construção, foi adjudicada à empresa DST - Domingos da Silva Teixeira, S.A.. O presente relatório é referente a um estágio realizado na DST, S.A., em obra, no período de 31 de Janeiro de 2014 e 31 de Julho de 2014. O estágio englobou a direção e controlo da produção das atividades de construção civil que decorreram na empreitada durante este período. O estágio foi efetuado em ambiente real de obra tendo seguido o planeamento habitual de uma empreitada. Foram desenvolvidas numa primeira fase as atividades de preparação e lançamento de consultas de subempreitadas. De seguida foram desenvolvidas tarefas de preparação, controlo de fornecimento, apoio e acompanhamento dos subempreiteiros em obra, destacando-se o acompanhamento dos trabalhos de revestimento exteriores dos edifícios e dos pavimentos de alta planimetria.