A residential consumer payment capability index based on fuzzy logic inference

  • Authors:

  • Reinaldo Castro Souza;José Francisco Moreira Pessanha;Fernando Luiz Cyrino Oliveira

  • Affiliations:

  • Electrical Engineering Department, Pontifical Catholic University of Rio de Janeiro, Gávea, Rio de Janeiro, Brazil;Mathematical and Statistical Institute, Rio de Janeiro State University, Maracanã, Rio de Janeiro, Brazil;Electrical Engineering Department, Pontifical Catholic University of Rio de Janeiro, Gávea, Rio de Janeiro, Brazil

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2013

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Abstract

The non-payment rate has been one of the main problems faced by the electric power distribution utilities. It is therefore essential that the utilities provide a methodology to assess the capability of a residential consumer to pay on time his/her electricity bill. As such, the utility will be able to simulate strategies and mitigate the risk of non-payment. This article presents a proposal based on fuzzy logic approach to compute a “Payment Capability Index” PCI for residential customers. A spatial view of PCI is provided by illustrative maps obtained by Geographic Information System GIS.