Classi cation of new electricity customers based on surveys and smart metering data

This paper proposes a process for the classifi cation of new residential electricity customers. The current state of the art is extended by using a combination of smart metering and survey data and by using model-based feature selection for the classifi cation task. Firstly, the normalized representative consumption profi les of the population are derived through the clustering of data from households. Secondly, new customers are classifi ed using survey data and a limited amount of smart metering data. Thirdly, regression analysis and model-based feature selection results explain the importance of the variables and which are the drivers of diff erent consumption profi les, enabling the extraction of appropriate models. The results of a case study show that the use of survey data signi ficantly increases accuracy of the classifi cation task (up to 20%). Considering four consumption groups, more than half of the customers are correctly classifi ed with only one week of metering data, with more weeks the accuracy is signifi cantly improved. The use of model-based feature selection resulted in the use of a signifi cantly lower number of features allowing an easy interpretation of the derived models.

Traffic Light Using Multiple Wireless Technologies

This paper presents the study and experimental tests for the viability analysis of using multiple wireless technologies in urban traffic light controllers in a Smart City environment. Communication drivers, different types of antennas, data acquisition methods and data processing for monitoring the network are presented. The sensors and actuators modules are connected in a local area network through two distinct low power wireless networks using both 868 MHz and 2.4 GHz frequency bands. All data communications using 868 MHz go through a Moteino. Various tests are made to assess the most advantageous features of each communication type. The experimental results show better range for 868 MHz solutions, whereas the 2.4 GHz presents the advantage of self-regenerating the network and mesh. The different pros and cons of both communication methods are presented.

Da intervenção da Santa Casa da Misericórdia de Évora: a qualidade das respostas sociais e satisfação percebida dos utentes internos da SCMÉ

O Relatório de estágio tem por desígnio, compreender e analisar, o statu quo das dimensões da satisfação (Contemplando o seu bem-estar pessoal e social) dos utentes das valências da Santa Casa da Misericórdia de Évora, por conseguinte, analisando e compreendendo a qualidade de vida desses mesmos utentes, debruçando-se, pois, sobre as potenciais e/ou evidentes necessidades institucionais por suprimir, e problemas sociais por erradicar. O levantamento da actual informação obteve-se através de dois instrumentos metodológicos de recolha de dados: inquérito por questionário de aplicação directa auto-administrada (utentes), e por intermédio de entrevistas semi-estruturadas (diretores técnicos das valências). Relativamente, aos métodos de tratamento de dados, no primeiro instrumento utilizou-se IBM SPSS 22, já no segundo análise de conteúdo. Após a detecção das necessidades existentes, procedeu-se a elaboração de uma proposta de intervenção sócio-organizacional, por forma a solucionar essas mesmas necessidades existentes. O presente documento estrutura-se em 4 eixos: o Eixo 1 – Componente teórica - ; o Eixo 2 – Componente metodológica - ; Eixo 3 – Componente dos resultados - ; Eixo 4 – Componente de intervenção sócio- organizacional; Abstract: Intervention of the Holy House of Mercy of Evora - The quality of the Social Responses and satisfaction perceived Internal SCME of users -. This work is to design, understand and analyze the status quo of the dimensions of satisfaction (Contemplating their personal and social welfare) of users of the valences of the Holy House of Mercy of Evora, therefore, analyzing and understanding the quality life of these same users, addressing therefore, on potential and / or obvious institutional needs to suppress and eradicate social problems. The survey of current information was obtained through two methodological tools for data collection: survey by self-administered direct application questionnaire (users), and through semi-structured interviews (technical directors of valences). With regard to the data processing methods, the first instrument was used SPSS 22, in the second content analysis. After detection of the needs, it proceeded to draw up a proposal for social and organizational intervention in order to solve these same existing needs. This document is divided into four axes: Axis 1 - Theoretical component -; Axis 2 - methodological component -; Axis 3 - Component of results -; Axis 4 - socio-organizational intervention component.