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.

Diagnóstico social no terceiro setor. A radiografia das Misericórdias do distrito de Évora

Resumo: Este artigo é uma súmula de um diagnóstico social, coordenado pelos autores, que teve como objetivo compreender as dinâmicas e as relações inter e intra organizacionais das Misericórdias do distrito de Évora. O trabalho desenvolvido tem por base uma metodologia de diagnóstico desenvolvida pelos autores deste artigo, tendo como estratégia analítica a análise de redes sociais e a análise prospetiva, através das quais se elabora um quadro sobre o estado atual das Misericórdias, procede-se a um mapeamento da rede e perspetivam-se estratégias de ação coletiva para as instituições. Palavras-Chave: Misericórdias, diagnóstico social, estratégias de ação coletiva. Abstract: This article is a summary of a social diagnosis, coordinated by the authors, which aimed to understand the dynamics and inter and intra organizational relationships of the Mercies of the Évora district. The work is based on a diagnostic methodology developed by the authors of this article, the analytical strategy to social network analysis and prospective analysis, through which draw up a picture of the current state of Mercies, proceed to a mapping network and perspetivam up collective action strategies for the institutions. Keywords: Mercies, social diagnosis, collective action strategies.