{"title":"Identificación de perfiles de usuarios para el direccionamiento de programas de mejoramiento energético (La Plata-Bs.As.-Argentina)","authors":"P. Chévez, I. Martini, C. Díscoli","doi":"10.22136/est20201541","DOIUrl":null,"url":null,"abstract":"A methodology for the classification and characterization of residential energy userprofiles is developed, in order to address specific measures of energy efficiency andrenewable energies that allow optimizing the use of resources. A database of 395surveys collected in La Plata (Buenos Aires-Argentina) is used as a case study, onwhich the primary energy consumption is calculated for each user and, then, theyare classified into consumption profiles. Finally, socio-demographic and energyvariables/indicators are analyzed for each profile in order to identify critical aspectsand propose specific guidelines for energy improvement.","PeriodicalId":44053,"journal":{"name":"Economia Sociedad y Territorio","volume":"20 1","pages":"303-333"},"PeriodicalIF":0.3000,"publicationDate":"2020-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economia Sociedad y Territorio","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22136/est20201541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 1
Abstract
A methodology for the classification and characterization of residential energy userprofiles is developed, in order to address specific measures of energy efficiency andrenewable energies that allow optimizing the use of resources. A database of 395surveys collected in La Plata (Buenos Aires-Argentina) is used as a case study, onwhich the primary energy consumption is calculated for each user and, then, theyare classified into consumption profiles. Finally, socio-demographic and energyvariables/indicators are analyzed for each profile in order to identify critical aspectsand propose specific guidelines for energy improvement.